This data set provides information on a small subset of energy pipelines in central Iraq. The data set was obtained as a free set of sample data from Pennwell. The data was collected in 2004. The full data is available from Pennwell is available for purchase and more information is available at http://www.mapsearch.com/database_description.cfm as well as a data dictionary of available attributes http://downloads.pennnet.com/mapsearch/offshore_relationaldata.pdf
This data set provides information on a small subset of roads in central Iraq. The data set was obtained as a free set of sample data from Pennwell. The data was collected in 2004. The full data is available from Pennwell is available for purchase and more information is available at http://www.mapsearch.com/database_description.cfm as well as a data dictionary of available attributes http://downloads.pennnet.com/mapsearch/offshore_relationaldata.pd
This data set provides information on a small subset of railroads in central Iraq. The data set was obtained as a free set of sample data from Pennwell. The data was collected in 2004. The full data is available from Pennwell is available for purchase and more information is available at http://www.mapsearch.com/database_description.cfm as well as a data dictionary of available attributes http://downloads.pennnet.com/mapsearch/offshore_relationaldata.pdf
We took some of the DEA's reported drug seizure information, geocoded, and saved it as KML. This is a subset that represents clandestine labs in one state: California. Looking for hot spots of drug production.
This data was extracted from GeoFreight (http://www.fhwa.dot.gov/freightplanning/geofreight.htm) built by Oak Ridge National Labs and made available by the Bureau of Transportation Statistics as a CD-ROM. The data was released December 2003 and utilizes the 2003 commodity flow survey data and other data sources. The data extracted from GeoFreight has a weird projection that takes considerable effort to convert to standard Mercator or NAD 1983 projection to work easily with other data sets. Otherwise great data with rare insights to how commodities get moved across the country.
This data set provides information about the Air Quality Index (AQI). The AQI is an index for reporting how clean or polluted the air is and the associated health risks. Data in this set are given in number of days that the AQI fell within a certain range (good - hazardous). This data also provides information on which pollutants were in the air (O3, CO, SO2, etc). All data is given on the county level for the United States from 2001 to 2006. Data can be seen for earlier years and all of this data can be found at the EPAs website . This dataset can be used to see which areas have the poorest or best air quality, which can be useful for a number of industries, from real estate to health care and insurance.
This dataset was found online at the Association of Religious Data Archives (ARDA) website. http://www.thearda.com/ . This data set shows information on religous groups throughout the United States. All data was uploaded as a polypoint centroids per county in the United States, in shapefile format. This Data set shows the Total congregations, Total Adherents, and Rate of Adherence per 1000 population for All religions in the United States and for the Mainline Religions.
The data is based on U.S.Dept. of Veterans Affair Administration 2004dataset. It shows total number of veterans by county and total number of patients (veterans and their family members) treated by Veteran Affairs (VA) hospitals during 2004. http://www1.va.gov/vetdata/
This dataset shows airports in the United States, Puerto Rico and the U.S. Virgin Islands. The data were derived from an extract of The Public- Use Airports database of the National Transportation Atlas Databases-2001 (NTAD-2001), published by the Bureau of Transportation Statistics, Department of Transportation. This dataset was released in October 2001 and was found on-line at the National Atlas, www.nationalatlas.gov in Shape file format. This point data is intended for use within the United States, including Puerto Rico and the U.S. Virgin Islands. This data may be used for geographic display and analysis at the national level, and for large regional areas. Metadata: http://www.nationalatlas.gov/metadata/airprtx020.faq.html Online: www.nationalatlas.gov
This dataset explores radio station information in the AM broadcast band (530 kHz to 1700 kHz).
This dataset shows the classes of workers according to where they live. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1338.
This dataset shows the type of transportation people use to go to work. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1338.
This dataset shows the means of transportation to work reported by males. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1338.
This dataset shows the time of departure for workers traveling from home to work. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1338.
This dataset shows the origin and race of residents. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1341.
This dataset shows the number of hours worked per week in 1999. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1338.
This dataset shows length of US residence and worker earnings in 1999. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1339.
This dataset shows the number of workers in 15 categories of industry. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1338.
This dataset shows the number of workers in 15 categories of industry. The information is mapped according to place of work. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1344.
This dataset shows the number of workers in 25 categories of occupation. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1338.
This dataset shows the number of workers in 25 categories of occupation. The information is mapped according to place of work. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1344.
This dataset shows the number of people enrolled in various levels of school, according to where they live. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1341.
This is a dataset downloaded from the Oak Ridge National Labs CTA Transportation Network Group - specifically their intermodal project - http://www-cta.ornl.gov/transnet/Intermodal_Network.html. From intermodal data set, the global shipping lane data queried out and created in a separate shapefile. We did some all to all routing analysis over it, but the results were a bit questionable. The data does have to and from nodes and can be routed across but there is a weird grid system that goes along with the traditional shipping routes that seems to makes things a bit screwy. Over all a cool look at global commodity routes across the oceans.
This data comes from the US Department of Justices National Clandestine Laboratory Register that is maintaned by the Drug Enforcement Agency. It can be found at http://www.usdoj.gov/dea/seizures/index.html. The data set was created by taking the street addresses of meth labs that had been busted by the DEA then geocoding them. The street data was not particularly clean and we could only get a 67% match on addresses so this is only a sample of the data. The data does provide a fascinating look at where drug production activity occurs at a very local level.
This is a data set from the Google Earth BBS of oil refineries around the globe posted in Feb 3rd 2004. The original creator of the data set posted a set of caveats to the data on the Google BBS (http://bbs.keyhole.com/ubb/showflat.php/Cat/0/Number/142111/): Here are placemarks for most of the world's crude oil refineries and their capacities. There is no way I got them all, and some are probably not in the exact location. Those include refineries that are grouped together, and in very low resolution areas. Please point out any incorrect locations and refineries not listed (with their capacities) because help is needed especially in these areas: Japan: Missing many, and the ones I have marked are probably not in the correct location. China: Missing many. Mostly the smaller CNCP (PetroChina) ones. Russia: Must be missing some. France: Same Italy: Same Germany: Maybe a few here too. Middle East: Iraq, and some smaller countries not listed. You can see most of this in list form at: http://en.wikipedia.org/wiki/List_of_oil_refineries
This is a data set built in the fall of 2004 of the addresses of know spammers that have been identified by Spamhaus. Specifically the data comes from their Registry of Known Spam Operations - http://www.spamhaus.org/Rokso/. Street addresses were culled from the the database then geocoded to a zip code level of accuracy.
This Dataset shows major roadways throughout the mainland of china. Data was found online at http://www.people.fas.harvard.edu/~chgis/ on May 15th.
This Dataset shows Health Facilities throughout Zambia. Dataset can be found online at http://www.sahims.net/gis/Sahims_Gis_Data/zambia_majorroads.htm
This Dataset shows the main roads in the country of Swaziland in Africa. this dataset was uploaded in Shapefile Polyline format, and found online at http://www.sahims.net/gis/Gis%20Input/swaziland_gis.asp?order=Map_Data
This coverage shows the road networks of Kenya derived from topographic map sheets (1978-1997). This Dataset was found online at http://www.ilri.org/gis/ and was uploaded as a polyline shapefile.
This data reports natural gas proved reserves (in trillion cubic meters) by country for the years 1980 to 2005. The data comes from the British Petroleum Statistical Review of World Energy. www.bp.com
This data reports natural gas production (in billion cubic meters) by country for the years 1970 to 2005. The data comes from the British Petroleum Statistical Review of World Energy. www.bp.com
This data reports natural gas consumption (in billion cubic meters) by country for the years 1965 to 2005. The data comes from the British Petroleum Statistical Review of World Energy. www.bp.com
This data reports hydroelectricity consumption (in million tonnes oil equivalent) by country for the years 1965 to 2005. The data comes from the British Petroleum Statistical Review of World Energy. www.bp.com
USDA publishes weekly reports on the meat and poultry imports from country of origin. Of the 250 or so countries, US imports come from less than 40 countries. Total imports amount is a nearly 31.9 Metric tons, much of it coming from just a handful of countries such as Canada, Australia, Mexico, New Zealand, Nicargua. The dataset for this map was published on 14th May, 2007. Source: USDA Market News Portal.
This is a dataset of Health Facilities located throughout Yemen. Source unknown
This dataset is an attempt to collect all the watertowers in Holland. Data was accessed online at http://bbs.keyhole.com/ubb/showflat.php/Cat/0/Number/800908/an/0/page/0#800908.
This dataset contains Russian Nuclear InterContinental Ballistic Missle launch sites. It includes launch silos and hangars for the mobile launchers. All information was taken from open sources: http://www.fas.org/nuke/guide/russia/facility/icbm/index.html, http://russianforces.org, http://rbase.new-factoria.ru Data was compiled and found online at http://bbs.keyhole.com/ubb/showflat.php/Cat/0/Number/83812/an/0/page/0#83812
This dataset includes the locations of airbases in the Shenyang Military Region of China, as reported by Global Security (www.globalsecurity.org). Data found online at http://bbs.keyhole.com/ubb/showflat.php/Cat/0/Number/31339/an/0/page/6#31339
This dataset contains the locations of Indian Air Force stations and forward base support units. The maintenance and medical commands are not included. For more detailed information on units, squadron and establishments, visit http://www.bharat-rakshak.com/IAF/Units/index.html Data found online at http://bbs.keyhole.com/ubb/showflat.php/Cat/0/Number/822506/an/0/page/8#822506
This shapefile shows all of the Amtrak Stations in the U.S. - source: www.bts.gov
Kevin Stolarick of the Creative Class Group contributed this data, which includes rankings of US Cities by measures of tolerance, housing affordability, age groups, crime, recreational activities, health care affordability and many others. It comes from a variety of government sources, including the American Community Survey conducted by the US Dept. of Census. For more information visit http://creativeclass.com.
This dataset includes over 200 US military cemeteries, compiled using information from the National Cemetery Administration, National Park Service, American Battlefield Commission, US Army, state veterans departments, and others. For the majority of cemeteries, within the description field, you will find a link to the cemetery's web page along with the physical address. This data was found online at http://bbs.keyhole.com/ubb/showflat.php/Cat/0/Number/132750/an/0/page/0#132750.
Agricultural Area is the sum of Arable Land and Permanent Crops, plus Permanent Pastures. Arable Land: land under temporary crops (double-cropped areas are counted only once), temporary meadows for mowing or pasture, land under market and kitchen gardens and land temporarily fallow (less than five years). The abandoned land resulting from shifting cultivation is not included in this category. Data for "Arable land" are not meant to indicate the amount of land that is potentially cultivable. Permanent Crops: land cultivated with crops that occupy the land for long periods and need not be replanted after each harvest, such as cocoa, coffee and rubber; this category includes land under flowering shrubs, fruit trees, nut trees and vines, but excludes land under trees grown for wood or timber. Permanent Pasture: land used permanently (five years or more) for herbaceous forage crops, either cultivated or growing wild (wild prairie or grazing land). The dividing line between this category and the category "Forests and woodland"; is rather indefinite, especially in the case of shrubs, savannah, etc., which may have been reported under either of these two categories. Value of 0 means no data available (original data source used a value of -9999 to show no availalbe data) Online resource: http://geodata.grid.unep.ch URL original source: http://apps.fao.org
Agricultural Area is the sum of Arable Land and Permanent Crops, plus Permanent Pastures. Arable Land: land under temporary crops (double-cropped areas are counted only once), temporary meadows for mowing or pasture, land under market and kitchen gardens and land temporarily fallow (less than five years). The abandoned land resulting from shifting cultivation is not included in this category. Data for "Arable land" are not meant to indicate the amount of land that is potentially cultivable. Permanent Crops: land cultivated with crops that occupy the land for long periods and need not be replanted after each harvest, such as cocoa, coffee and rubber; this category includes land under flowering shrubs, fruit trees, nut trees and vines, but excludes land under trees grown for wood or timber. Permanent Pasture: land used permanently (five years or more) for herbaceous forage crops, either cultivated or growing wild (wild prairie or grazing land). value of 0 = no data (original source uses -9999 = no data) http://geodata.grid.unep.ch
Total external debt is debt owed to non residents repayable in foreign currency, goods, or services. Total external debt is the sum of public, publicly guaranteed, and private non-guaranteed long-term debt, use of IMF credit, and short-term debt. Short-term debt includes all debt having an original maturity of one year or less and interest in arrears on long-term debt. Data are in million current U.S. dollars. This Data set uses 0 = no value, however the original data source uses -9999 as its original value. Data was found online at http://geodata.grid.unep.ch
If you're planning some illicit behavior, you may want to check out this dataset. Find out which states have laws authorizing the interception of wire, oral, or electronic communications, and how many times those laws were put into effect in 2006. This data comes from the Federal Judiciary's 2006 Wire Tap Report, and was found online at http://www.uscourts.gov/wiretap06/Table1.pdf.
Imports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude labor and property income (formerly called factor services) as well as transfer payments. Online resource: http://geodata.grid.unep.ch URL original source: http://www.worldbank.org/data/
Foreign direct investment (FDI) is net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestment of earnings, other long-term capital, and short-term capital as shown in the balance of payments. This series shows total net, that is, net FDI in the reporting economy less net FDI by the reporting economy. Original Data Source uses -9999 to represent no data, we have substituted a value of 0. Data was found online at The United Nations Environment Programme (UNEP): http://geodata.grid.unep.ch/
This dataset shows the locations of major rivers in Afghanistan. Rivers depicts line river features from United States Defense Mapping Agency 1:100,000 scale topography maps. This layer includes three types of classes primary, secondary and seasonal. However, there are some miss classifications of the rivers and there are no names of the rivers, either. This data was released in 1990 and was found online at the Afghanistan Information Management Services in Shape file format. This line data is intended for use within Afghanistan and is suitable for general studies and local planning.
This dataset shows the locations of International Organizations, Diplomatic Missions, and UN Buildings in Kabul, Afghanistan. This data was released in 2004 and was found on-line at http://www.aims.org.af/index.aspx in Shape file format. This point data is intended for use within the city of Kabul, Afghanistan. This dataset may be used by any individual interested in international organizations and countries that have a presence in Afghanistan and to see their locations.
The map data is derived from the United Nations Environment Programme (UNEP) for 1980 to 2002. The map shows the concentration of the recycling rates of glass by country measured in the percent of apparent consumption. UNEP defines the term "recycling rates" as the "ratios of the quantity collected for recycling to the apparent consumption."
The locations of all Nuclear Power Plants in the United States, by zipcode. This data was taken from a non for-profit website called the Nuclear Tourist. It was then cross checked with the reactor information provided by the U.S. Nuclear Regulatory Commission (the USNRC did not provide the exact addresses). Data Source: http://www.nucleartourist.com/us/address.htm
This site is devoted to water and environmental research works of Central Asia. There are many projects and results to report. Here can be found the most complete database kindly provided by scientists from different countries. This site is based on results of the work of a big group of scientists from different countries: Germany, USA, Republic of Uzbekistan, Republic of Kyrgystan, Republic of Kazakhstan, Republic of Tajikistan. The main computation tool -EPIC was elaborated by Prof. Daene McKinney, Dr. Andre Savitsky, Dr. Maja Schlueter. Approaches to modelling were elaborated together with: M.M.Hamidov, A.I.Lishansky, E.M.Jeleznova, A.Zyryanov, A.Hisariev, S.Zaiceva, O.Tihonova and N.Reizvih. Website URL: http://www.ce.utexas.edu/prof/mckinney/Central_Asia_Data/index.htm
The map data is derived from the United Nations Environment Programme (UNEP) for the years ranging from 1975-2000. The map shows the concentration of the number of deaths of people caused by or linked to volcanic eruptions in the world. Online resource: http://geodata.grid.unep.ch URL original source: www.cred.be/emdat
This data summarizes mass car bombings that occurred around the World in the 90's. It includes information on total deaths and number of bombs used in the attacks. The source of the data is wikipedia: http://en.wikipedia.org/wiki/List_of_mass_car_bombings
The map data is derived from the United Nations Environment Programme (UNEP) for the year 2001. The map shows the concentration of the transboundary imports of hazardous and other wastes by country measured in metric tons. Online resource: http://geodata.grid.unep.ch URL original source: www.basel.int/
The map data is dervied from the United Nations Environment Programme (UNEP) for the year 2001. The map shows the concentration of the transboundary exports of hazardous and other wastes by country measured in metric tons. Online resource: http://geodata.grid.unep.ch URL original source: www.basel.int/
The map data is derived from the United Nations Environment Programme (UNEP) for the years ranging from 1988 to 2004. The map shows the concentration of the total worth of exports of electric current measured in U.S. dollars corresponding to the trade revenue brought in by such trades. Online resource: http://geodata.grid.unep.ch URL original source: http://unstats.un.org/unsd/comtrade/
This is a dataset showing the political boundaries in Sweden. each province has information about area and Population. This data was found online at: http://www.vdstech.com/map_data.htm
The map data is derived from the United Nations Environment Programme (UNEP) for the years ranging from 1958 to a projected 2012. The map shows the concentration of the total dam capacity by country measured in cubic kilometers. According to UNEP, the data for the capacity of the dams is the "theoretical initial capacity," and this theoretical capacity does not change over time. Online resource: http://geodata.grid.unep.ch URL original source: http://www.fao.org/ag/agl/aglw/aquastat/dbase/index.htm
This dataset depicts the locations of hotels, restaurants, palaces, and historical sites (Minarets, National Archive, Mausoleums, Balahisar, and Kabul Museum) in Kabul city Afghanistan. This dataset was released in 2004 and was found on-line at Afghanistan Information Management Services http://www.aims.org.af/index.aspx in Shape file format. This point data was intended for use within Kabul, Afghanistan. This layer was mapped at 1:5,000 scale from the one meter IKONOS satellite imagery. This data is useful simply for identifying the location of a bridge.
This maps the rankings of select countries on specific topics. The higher the ranking the better off the country is, so hot spots are positive indicators. The indicators include such things as control on corruption and absence of violence. Because Governance and many of these variables are difficult to measure we have included an upper and lower range on the data. these upper and lower ranges show the imprecision of the data. there is a 90% chance that the actual Governance rating is between the upper and lower ranges. Data URL: http://siteresources.worldbank.org/NEWS/Resources/wbindicators2006-.pdf -0.01 indicates no value given
Concern with brain drain is not limited to developing countries. It arose during the dot com period in a number of European countries in the late 1990s when it was feared that many high technology graduates were leaving their home countries for high-paying jobs elsewhere, especially in the United States. It arises periodically when statistics are published on international students abroad or on the emigration of highly educated persons. Rarely evoked are the gains from immigration of the highly educated. The figures in the table show, as a percentage of the total number of residents with tertiary education, the number of foreign-born persons living in each country, and the number of persons with tertiary education born in the country but living in another OECD country. Tertiary education programmes include those that terminate with standard university degrees but also cover shorter university programmes and high-level practical/technical/occupationally specific education programmes that are geared to direct entry into the labour market. Tertiary attainment means completion of a tertiary education programme with a recognised qualification; persons partially completing a level are classified in the previous level attained. data was found online at: http://miranda.sourceoecd.org/vl=1552947/cl=19/nw=1/rpsv/factbook/12-03-03.htm
This dataset shows the locations of Bridges in Kabul, Afghanistan. This dataset was released in 2004 and was found on-line at http://www.aims.org.af/index.aspx in Shape file format. This point data is intended for use within the city of Kabul, Afghanistan. This dataset may be used by any individual interested in the locations of Bridges in Kabul, Afghanistan for humanitarian, civil, or educational purposes.
The map data is derived from the United Nations Environment Programme (UNEP) for the years ranging from 1985 to 2006. The map shows the countries that participated in the Vienna Convention and Montreal Protocol by year. From UNEP: "Through The Vienna Convention on the Protection of the Ozone Layer governments committed themselves to protect the ozone layer and to co-operate with each other in scientific research to improve understanding of the atmospheric processes. The Montreal Protocol on Substances that Deplete the Ozone Layer was adopted by Governments in 1987 and has been modified five times so far. Its control provisions were strengthened through four adjustments to the Protocol adopted in London (1990), Copenhagen (1992), Vienna (1995), Montreal (1997) and Beijing (1999). The Protocol aims to reduce and eventually eliminate the emissions of man-made ozone depleting substances." Online resource: http://geodata.grid.unep.ch URL original source: http://www.unep.ch/ozone/ratif. shtml
The map data is derived from the United Nations Environment Programme (UNEP) for the years ranging from 1992 to 2006. The map shows the participation in United Nations Framework Convention on Climate Change (National Reports, UNFCCC) by country for each year. From UNEP: "The ultimate objective of the Convention is 'to achieve stabilization of atmospheric concentrations of greenhouse gases at levels that would prevent dangerous anthropogenic (human-induced) interference with the climate system'." Online resource: http://geodata.grid.unep.ch URL original source: http://unfccc.int/essential_background/convention/status_of_ratification/items/2631.php
The map data is derived from the United Nations Environment Programme (UNEP) for the years ranging from 1994 to 2006. The map shows the countries that participated in the United Nations Convention to Combat Desertification by year. From UNEP: "In 1992, the United Nations Conference on Environment and Development (UNCED) or so called Rio Earth Summit remmended the elaboration of a United Nations Convention to Combat Desertification (UNCCD). The Convention, the only convention stemming from a direct recommendation of the Conference's Agenda 21, was adopted in Paris on 17 June 1994 and entered into force in December 1996. It is the first and only internationally legally binding framework set up to address the problem of desertification. The Convention is based on the principles of participation, partnership and decentralization - the backbone of Good Governance. It now has more than 180 country Parties to the Convention, making it truly global in reach." Online resource: http://geodata.grid.unep.ch URL original source: http://www.unccd.int/convention/ratif/doeif.php
The map data is derived from the United Nations Environment Programme (UNEP) for the years ranging from 1982 to 2006. The map shows the countries that participated in the United Nations Convention on the Law of the Sea by year. From UNEP: "Navigational rights, territorial sea limits, economic jurisdiction, legal status of resources on the seabed beyond the limits of national jurisdiction, passage of ships through narrow straits, conservation and management of living marine resources, protection of the marine environment, a marine research regime and, a more unique feature, a binding procedure for settlement of disputes between States - these are among the important features of the treaty. In short, the Convention is an unprecedented attempt by the international community to regulate all aspects of the resources of the sea and uses of the ocean, and thus bring a stable order to mankind's very source of life." Online resource: http://geodata.grid.unep.ch URL original source: http://www.un.org/Depts/los/reference_files/chronological_lists_of_ratifications.htm#The United Nations Convention on the Law of the Sea
The map data is derived from the United Nations Environment Programme (UNEP) for the years ranging from 2001 to 2006. The map shows the countries that participated in the Stockholm Convention on Persistant Organic Pollutants by year. From UNEP: "Persistent Organic Pollutants (POPs) are chemical substances that persist in the environment, bioaccumulate through the food web, and pose a risk of causing adverse effects to human health and the environment. With the evidence of long-range transport of these substances to regions where they have never been used or produced and the consequent threats they pose to the environment of the whole globe, the international community has now, at several occasions called for urgent global actions to reduce and eliminate releases of these chemicals. The chemicals slated for elimination under the Stockholm Convention are the pesticides aldrin, chlordane, dieldrin, endrin, heptachlor, hexachlorobenzene (HCB), mirex and toxaphene, as well as the industrial chemical polychlorinated biphenyls (PCBs). Continued use of the pesticide DDT is allowed for disease vector control until safe, affordable and effective alternatives are in place. Countries must make determined efforts to identify label and remove PCB-containing equipment from use by 2025. The Convention also seeks the continuing minimization and, where feasible, elimination of the releases of unintentionally produced POPs such as the industrial byproducts dioxins and furans." Online resource: http://geodata.grid.unep.ch URL original source: http://www.pops.int/documents/signature/signstatus.htm
The map data is derived from the United Nations Environment Programme (UNEP) for the years ranging from 1998 to 2006. The map shows the countries that participated in the Rotterdam Convention by year. From UNEP: "The Convention establishes the principle that export of a chemical covered by the Convention can only take place with the prior informed consent of the importing party. The Convention establishes a "Prior Informed Consent procedure," a means for formally obtaining and disseminating the decisions of importing countries as to whether they wish to receive future shipments of specified chemicals and for ensuring compliance with these decisions by exporting countries. The Convention initially covers 22 pesticides (including five severely hazardous pesticide formulations) and 5 industrial chemicals, but many more are expected to be added in the future. The Conference of the Parties will decide on the inclusion of chemicals." Online resource: http://geodata.grid.unep.ch URL original source: http://www.pic.int/en/ViewPage.asp?id=345
The map data is derived from the United Nations Environment Programme (UNEP) for the years ranging from 1971 to 2006. The map shows the countries that participated in the Ramsar Convention on Wetlands by year. From UNEP: "The Convention on Wetlands, signed in Ramsar, Iran, in 1971, is an intergovernmental treaty which provides the framework for national action and international cooperation for the conservation and wise use of wetlands and their resources. There are presently 138 Contracting Parties to the Convention, with 1317 wetland sites, totaling 111 million hectares, designated for inclusion in the Ramsar List of Wetlands of International Importance." Online resource: http://geodata.grid.unep.ch URL original source: http://www.ramsar. org/key_cp_e.htm
The map data is derived from the United Nations Environment Programme (UNEP) for the years ranging from 1983 to 2006. The map shows the countries that participated in the Convention on the Conservation of Migratory Species of Wild Animals by year. From UNEP: "CMS has a unique role to play in focusing attention on and addressing the conservation needs of the 107 endangered species presently listed in Appendix I - including, among others, the Siberian crane, White-tailed eagle, Hawksbill turtle, Mediterranean monk seal and Dama gazelle. Appendix II lists migratory species that require or would benefit significantly from international co-operative Agreements under CMS. These may range from legally-binding treaties to less formal memoranda of understanding. The more formal Agreements should provide for co-ordinated species conservation and management plans; conservation and restoration of habitat; control of factors impeding migration; co-operative research and monitoring; and public education and exchange of information among Parties." Online resource: http://geodata.grid.unep.ch URL original source: http://www.cms.int/about/intro.htm
The map data is derived from the United Nations Environment Programme (UNEP) for the years ranging from 1974 to 2006. The map shows the countries that participated in the Convention on International Trade in Endangered Species of Wild Fauna and Flora by year. From UNEP: "CITES (the Convention on International Trade in Endangered Species of Wild Fauna and Flora) works by subjecting international trade in specimens of selected species to certain controls. These require that all import, export, re-export and introduction from the sea of species covered by the Convention has to be authorized through a licensing system. ('Re-export' means export of a specimen that was imported.)" Online resource: http://geodata.grid.unep.ch URL original source: http://www.cites.org/eng/disc/parties/index. shtml
The map data is derived from the United Nations Environment Programme (UNEP) for the years ranging from 1992 to 2006. The map shows the countries that participated in the Convention on Biological Diversity by year. From UNEP: "The Convention on Biological Diversity promotes conservation of biodiversity among nations through scientific and technological cooperation, access to financial and genetic resources, and transfer of ecologically sound technologies." Online resource: http://geodata.grid.unep.ch URL original source: http://www.biodiv.org/world/parties.asp
The map data is derived from the United Nations Environment Programme (UNEP) for the years ranging from 1989 to 2006. The map shows the countries that participated in the Basel Convention by year. From UNEP: "The Basel Convention on the Control of Tranboundary Movements of Hazardous Wastes and their Disposal was adopted in 1989 and entered into force on 5 May 1992." Online resource: http://geodata.grid.unep.ch URL original source: http://www.basel.int/ratif/convention.htm
The map data is derived from the United Nations Environment Programme (UNEP) for the years ranging from 1982 to a projected 2010. The map shows the nuclear waste as annual spent fuel arisings by country measured in tons of heavy metal. According to UNEP, "nuclear waste presents annual spent fuel arisings in nuclear power plants of OECD countries." Also, "it should be noted that they do not represent all radioactive waste generated, and that amounts of spent fuel arisings depend on the share of nuclear electricity in the energy supply and on the nuclear plant technologies adopted." Online resource: http://geodata.grid.unep.ch URL original source: http://www.oecd.org
The map data is derived from the United Nations Environment Programme (UNEP) for the year 2005. The map shows the concentration of the total electric output for nuclear power reactors under construction in 2005 by country measured in Mwe. According to UNEP, a nuclear reactor "produces and controls the release of energy from splitting the atoms of certain elements." For more information: Online resource: http://geodata.grid.unep.ch URL original source: http://www.world-nuclear.org/info/reactors.htm
This Data set is from the Behavioral Risk Factor Surveillance System survey of the United States. "The Behavioral Risk Factor Surveillance System (BRFSS) is the worlds largest, on-going telephone health survey system, tracking health conditions and risk behaviors in the United States yearly since 1984. Conducted by the 50 state health departments as well as those in the District of Columbia, Puerto Rico, Guam, and the U.S. Virgin Islands with support from the CDC, BRFSS provides state-specific information about issues such as asthma, diabetes, health care access, alcohol use, hypertension, obesity, cancer screening, nutrition and physical activity, tobacco use, and more." (http://www.cdc.gov/brfss/index.htm) Data URL: http://www.cdc.gov/brfss/maps/gis_data.htm All values a percentage from 0-100
The map data is derived from the United Nations Environment Programme (UNEP) for the years ranging from 1989 to 1999. The map shows the concentration of the percent of central government expenditures that are military expenditures by country. According to UNEP, "military expenditures for NATO countries are based on the NATO definition, which covers military-related expenditures of the defense ministry (including recruiting, training, construction, and the purchase of military supplies and equipment) and other ministries." More information can be found at: Online resource: http://geodata.grid.unep.ch URL original source: http://www.worldbank.org/data/
The map is based on data from Dept of Transportation's Federal Highway Administration's website http://www.fhwa.dot.gov/bridges/ It shows the proportion of bridges built over time period of 4 years between 1905 and 2001, that are found to be structurally deficient. Here is a link to "What makes a bridge structurally deficient?" http://www.fhwa.dot.gov/policy/2004cpr/chap15c.htm#body
The map data is derived from the United Nations Environment Programme (UNEP) for the years ranging from 1989 to 1999. The map shows the concentration of the total military personnel by country measured in number of people. According to UNEP, military personnel refers to "active duty military personnel, including paramilitary forces if those forces resemble regular units in their organization, equipment, training, or mission." Online resource: http://geodata.grid.unep.ch URL original source: http://www.worldbank.org/data/
This data set represents the aggregate total occupational earnings by state. This includes the mean and median hourly wage, as well as the mean annual salary for each state. http://www.bls.gov/OES/
The map data is derived from the United Nations Environment Programme (UNEP) for the years ranging from 1958 to a projected 2012. The map shows the concentration dependency ratio within each country expressed as a percent of the total renewable water resources originating outside the country. 0% indicates that the country does not receive water from neighboring countries, or in the case of data that there is a lack of data for this country so that zero was put in to allow production of the heated map. 100% indicates that the country in fact receives all of its water from other countries. Online resource: http://geodata.grid.unep.ch URL original source: http://www.fao.org/ag/agl/aglw/aquastat/dbase/index.htm
This dataset has ratings for superstructures by county. each county counts the number of each superstructures with a particular rating. values range from 0-9. '0' Failed '1' Imminent '2' Critical '3' Serious '4' Poor '5' Fair '6' Satisfactory '7' Good '8' Very good '9' Excellent 'Unk' Unknown 'N' Not applicable Also Dangerous is summation of 0,1,2 and 3. Risky is summation of 4, 5 and 6. Safe is summation of 7, 8 and 9. Data source: http://www.fhwa.dot.gov/bridge/britab.htm
This dataset shows the count of substructures per county in the United States. the count is divided into safety ratings for each county, with values from 0-9. '0' Failed '1' Imminent '2' Critical '3' Serious '4' Poor '5' Fair '6' Satisfactory '7' Good '8' Very good '9' Excellent 'Unk' Unknown 'N' Not applicable Also Dangerous is summation of 0,1,2 and 3. Risky is summation of 4, 5 and 6. Safe is summation of 7, 8 and 9. Data Source: http://www.fhwa.dot.gov/bridge/britab.htm
This dataset shows the count of Deck structures per county in the United States. the count is divided into safety ratings for each county, with values from 0-9. '0' Failed '1' Imminent '2' Critical '3' Serious '4' Poor '5' Fair '6' Satisfactory '7' Good '8' Very good '9' Excellent 'Unk' Unknown 'N' Not applicable Also Dangerous is summation of 0,1,2 and 3. Risky is summation of 4, 5 and 6. Safe is summation of 7, 8 and 9. Data Source: http://www.fhwa.dot.gov/bridge/britab.htm
This dataset shows the estimated cost to repair bridges and roads by county. there is also a total cost but it doesn't necessarily match up with the total of bridge and road costs because the values were divided down to the county level from the state level. Data Source: http://www.fhwa.dot.gov/bridge/britab.htm
This dataset shows the locations of Airport Airfields in Afghanistan. This dataset was released in 2000 and was found on-line at http://www.aims.org.af/index.aspx in Shape file format. This point data is intended for use within Afghanistan. This dataset may be used by any individual interested in the locations of Airport Airfields in Afghanistan for humanitarian, civil, or educational purposes.
This dataset shows the cultivated land areas in Afghanistan. This dataset was mapped at 1:100,000 scale by the United States Defense Mapping Agency. These data were released in 1997 and was found online at the Afghanistan Information Management Services in Shape file format.This polygon dataset is intended for use within Afghanistan and is suitable for general studies and local planning.
This data reports terror incidents recorded for Iraq in the National Counter Terrorism Center's World Wide Incident Tracking Database. It covers incidents that were observed for the period 2004 up through March 2007. The Center cautions that there could be some incidents that have occurred in Iraq that are not in the data. There are over 12,000 attacks for Iraq and the victims are of a variety of nationalities, American included. Fatalities, wounded and hostages taken for each record are included in the data. Source: http://wits.nctc.gov/
This data reports terror incidents involving IEDs recorded for Iraq in the National Counter Terrorism Center's World Wide Incident Tracking Database. It covers incidents that were observed for 2004. The Center cautions that there could be some incidents that have occurred in Iraq that are not in the data. Fatalities, wounded and hostages taken for each record are included in the data. Text descriptions and information on the perpetrators are also included in the file. Source: http://wits.nctc.gov/
This data reports terror incidents involving IEDs recorded for Iraq in the National Counter Terrorism Center's World Wide Incident Tracking Database. It covers incidents that were observed for 2005. The Center cautions that there could be some incidents that have occurred in Iraq that are not in the data. Fatalities, wounded and hostages taken for each record are included in the data. Text descriptions and information on the perpetrators are also included in the file. Source: http://wits.nctc.gov/
This data reports terror incidents involving firearms recorded for Iraq in the National Counter Terrorism Center's World Wide Incident Tracking Database. It covers incidents that were observed for the period 2004 up through March 2007. The Center cautions that there could be some incidents that have occurred in Iraq that are not in the data. Fatalities, wounded and hostages taken for each record are included in the data. Text descriptions and information on the perpetrator are also included in the data. Source: http://wits.nctc.gov/
This data reports terror incidents by Sunnis recorded for Iraq in the National Counter Terrorism Center's World Wide Incident Tracking Database. It covers incidents that were observed for the period 2004 up through March 2007. The Center cautions that there could be some incidents that have occurred in Iraq that are not in the data. Fatalities, wounded and hostages taken for each record are included in the data. The events in the database are those for which the perpetrator was known to be from the Sunni tribe. Source: http://wits.nctc.gov/
This data reports terror incidents by Shias recorded for Iraq in the National Counter Terrorism Center's World Wide Incident Tracking Database. It covers incidents that were observed for the period 2004 up through March 2007. The Center cautions that there could be some incidents that have occurred in Iraq that are not in the data. Fatalities, wounded and hostages taken for each record are included in the data. The events in the database are those for which the perpetrator was known to be from the Shia tribe. Source: http://wits.nctc.gov/
The map is based on Intercept orders report from US Courts website http://www.uscourts.gov It shows the number of wiretapping orders issued by Judges by different jurisdictions. Obviously, these wiretaps (or intercepts) were ordered during the investigation of criminal activity since they were ordered under the supervision of a State or Federal Judge. Caveat: The original report shows wiretapping orders by counties and for some states its by Judicial districts. For consistency, all the wiretaps were aggregated to the county where the judicial districts are located. Also, note that for some locations, the only specification is State Attorney General, in that case it was assigned to the county where the Capital of that state is located. NY Organized Crime Task Force and NYC Narcotics Special Bureau wiretap orders were assigned to the county where they are located.
The map is based on output from a HAZUS flood model for 100 year coastal flood scenario. The data shows the count of buildings by censusblock that could be inundated by 100 year coastal floods. http://www.fema.gov/plan/prevent/hazus/
Energy Capacity - Nuclear is the actual capacity of the nuclear electric power industry to describe the size of generating plants. MWe is the symbol for the actual output of a generating station in megawatts of electricity. Online resource: http://geodata.grid.unep.ch URL original source: http://www.worldenergy.org/wec-geis/publications/default/ Original Data Source uses -9999 to represent that no data is available, we have substituted a value of -1. a value of 0 means the country does not have nuclear energy capabilities.
The map is based on output of a Flood simulation model run on HAZUS for 100 year return flood model. It shows the average, minimum and maximum flood levels (in feet) along East/Hudson rivers and shores by census blocks in New York and New Jersey. http://www.fema.gov/plan/prevent/hazus/
Certified organic pasture and cropland, 2005, by State Source: http://www.ers.usda.gov/Data/Organic/Data/PastrCropbyState.xls Accessed on 23 August 2007
Certified organic grain crop acreage, by State, 2005 *In addition to unclassified grains, "other" acreage contains milo, triticale, kamut, amaranth, and quinoa. 'Source: USDA, Economic Research Service, based on information from USDA-accredited State and private organic certifiers.
This data set illustrates the sale of distillate fuel oil and kerosene by state from 2000-2005, purchased in thousands gallons. http://tonto.eia.doe.gov/dnav/pet/pet_cons_821use_a_EPD0_VRS_Mgal_a.htm August 24, 2007
U.S. certified organic beans, by State, 2005 Source: USDA, Economic Research Service, based on information from USDA-accredited State and private organic certifiers. http://www.ers.usda.gov/Data/Organic/ accessed on 23 August 2007
This data set illustrates the ranking of military size by countries across the globe. The value of -1 means that no data was available. http://en.wikipedia.org/wiki/List_of_countries_by_size_of_armed_forces August 27, 2007
The economically active population comprises all persons of either sex who furnish the supply of labor for the production of economic goods and services as defined by the United Nations systems of national accounts and balances during a specified time-reference period. According to these systems the production of economic goods and services includes all production and processing of primary products whether for the market for barter or for own consumption, the production of all other goods and services for the market and, in the case of households which produce such goods and services for the market, the corresponding production for own consumption. Original Data source uses a value of -9999 to represent no data available, we have substituted a value of 0. Online resource: http://geodata.grid.unep.ch URL original source: http://laborsta.ilo.org/
This is the World Freedom index, By the State of World Liberty Project. It ranks various countries by various forms of freedom and created an index to see which countries had the most freedom. USA finished 8th, with Estonia in 1st place and North Korea having the least freedom. Source URL: http://www.stateofworldliberty.org/report/rankings.html This Dataset has a ranking for the countries, just to be clear, when you map out the rankings of countries, the highest ranked countries will not be the brightest on the map. Estonia is Ranked #1, but the value of 1 is lower than the value assigned to North Korea (158). so just be aware of that. In short, for mapping, use the Scores not the Ranks.
This dataset shows where media and press are most free to express their views and opinions. Countries rankings are based on laws, violence, and deaths of reporters and journalists. This is a Different measure of freedom than the world freedom index but just as important. This dataset shows the availability of dissenting views and opinions allowed within a Country. The USA was surprisingly ranked 44th, where freedom of speech is supposed to be one of out most prized rights. 1st place was a tie between northern European Countries (Denmark, Finland, Switzerland, Ireland, Iceland, Norway, and the Netherlands) Source URL: http://www.worldpress.org/link.cfm?http://www.rsf.org/article.php3?id_article=15333
This dataset shows where media and press are most free to express their views and opinions. Countries rankings are based on laws, violence, and deaths of reporters and journalists. This is a Different measure of freedom than the world freedom index but just as important. This dataset shows the availability of dissenting views and opinions allowed within a Country. In the 2006 Rankings the US Fell to 53rd position, bummer. pretty much the same countries were in the top positions, Denmark dropped a bit due to the Mohammed cartoons. Source URL: http://www.rsf.org/article.php3?id_article=19381
This dataset shows where media and press are most free to express their views and opinions. Countries rankings are based on laws, violence, and deaths of reporters and journalists. This is a Different measure of freedom than the world freedom index but just as important. This dataset shows the availability of dissenting views and opinions allowed within a Country. Source URL: http://www.rsf.org/article.php3?id_article=11715
The map is based on 10 year return coastal floods simulation run on HAZUS. The data includes number of residential, commercial, Goverment, schools and colleges by census block that may be inundated by the 10 year floods (measured in feet). http://www.fema.gov/plan/prevent/hazus/
U.S. Retail Gasoline Prices, Regular Grade, Dollars per gallon, including all taxes as of September 3, 2007. Data gives change in price from one year ago as well as current retail price for a gallon of regular grade gasoline by region in the USA. Source: http://www.eia.doe.gov/oil_gas/petroleum/data_publications/wrgp/mogas_home_page.html Accessed on Sept. 3, 2007
This data set illustrates the highest human deaths from terrorist attacks around the globe. (New York's September 11th loss also includes Washington, D.C.'s loss). http://www.msnbc.msn.com/ID/20287932/ September 6, 2007
This data reports terror incidents involving NGO/Huminatarian workers and human rights activists around the world. Data comes from the National Counter Terrorism Center's World Wide Incident Tracking Database. It covers incidents that were observed for the period 2004 up through March 2007. The Center cautions that there could be some incidents that have occurred in Iraq that are not in the data. Fatalities, wounded and hostages taken for each record are included in the data. Source: http://wits.nctc.gov/
Since the first nuclear bomb test in New Mexico in 1945, there have been over 2000 confirmed nuclear explosions around the globe. This dataset includes accurate to questionable locations of all 2000+. This data was found online at the Google Earth Community site. It was posted by the user Hill. Source: http://bbs.keyhole.com/ubb/showflat.php/Cat/0/Number/34290/an/0/page/0#34290 Accessed: 9.11.07
The map is based on data from Humanitarian Information Unit (HIU) of the U.S. State Dept. (http://hiu.state.gov/index.cfm?fuseaction=public.display&id=70216bae-d9e0-4c0b-9488-7a951375a99f There is a detailed explanation in the document that goes with the zipped dataset, titled: "Using Village Destruction Information Responsibly: February 27, 2007" that discusses the validity of the data. Surveillance of villages in Darfur, Sudan is an ongoing process. Much of the information already collected remains to be analyzed and confirmed. More information is also being collected. Unless a village appears to have sustained significant damage, it is considered undamaged (even though some structures may be damaged). A village labeled "Damaged" may have many destroyed structures just as a village labeled "Destroyed" may have a number of damaged structures among many destroyed ones. The categories simply hint at the extent of destruction (whether partial or nearly complete). For example, with the current data table (data as of January 25, 2007), we can map 1606 destroyed/damaged in the Darfur region. 411 villages are labeled as Damaged and 1195 villages are labeled as Destroyed. Several factors inhibit our ability to provide exact statistics for the number of structures destroyed/damaged. There are a number of confirmed and categorized villages for which there is no record of the number of structures. Additionally, in a few instances, a range for the number of structures destroyed or damaged was recorded. When the HIU receives further information on the status of more villages throughout the region, we will distribute it as appropriate.
Exports of TOTAL from New England Region in United States Dollars ($ USD). This data comes from Trade Stats Express - State Export Data and covers the years 2001- March 2007. Source: http://tse.export.gov/MapFrameset.aspx?MapPage=SEDMapWorldDisplay.aspx&UniqueURL=fzalwu55osssr245pb42yw55-2007-9-13-14-13-5 Accessed on 13 Sept. 2007
Exports of TOTAL from Mid Atlantic Region in United States Dollars ($ USD). This data comes from Trade Stats Express - State Export Data and covers the years 2001- March 2007. Source: http://tse.export.gov/MapFrameset.aspx?MapPage=SEDMapWorldDisplay.aspx&UniqueURL=fzalwu55osssr245pb42yw55-2007-9-13-14-13-5 Accessed on 13 Sept. 2007
Exports of TOTAL from South Atlantic Region in United States Dollars ($ USD). This data comes from Trade Stats Express - State Export Data and covers the years 2001- March 2007. Source: http://tse.export.gov/MapFrameset.aspx?MapPage=SEDMapWorldDisplay.aspx&UniqueURL=fzalwu55osssr245pb42yw55-2007-9-13-14-13-5 Accessed on 13 Sept. 2007
Exports of TOTAL from North Central Region in United States Dollars ($ USD). This data comes from Trade Stats Express - State Export Data and covers the years 2001- March 2007. Source: http://tse.export.gov/MapFrameset.aspx?MapPage=SEDMapWorldDisplay.aspx&UniqueURL=fzalwu55osssr245pb42yw55-2007-9-13-14-13-5 Accessed on 13 Sept. 2007
Exports of TOTAL from South Central Region in United States Dollars ($ USD). This data comes from Trade Stats Express - State Export Data and covers the years 2001- March 2007. Source: http://tse.export.gov/MapFrameset.aspx?MapPage=SEDMapWorldDisplay.aspx&UniqueURL=fzalwu55osssr245pb42yw55-2007-9-13-14-13-5 Accessed on 13 Sept. 2007
Exports of TOTAL from Mountain Region in United States Dollars ($ USD). This data comes from Trade Stats Express - State Export Data and covers the years 2001- March 2007. Source: http://tse.export.gov/MapFrameset.aspx?MapPage=SEDMapWorldDisplay.aspx&UniqueURL=fzalwu55osssr245pb42yw55-2007-9-13-14-13-5 Accessed on 13 Sept. 2007
Exports of TOTAL from Pacific Region in United States Dollars ($ USD). This data comes from Trade Stats Express - State Export Data and covers the years 2001- March 2007. Source: http://tse.export.gov/MapFrameset.aspx?MapPage=SEDMapWorldDisplay.aspx&UniqueURL=fzalwu55osssr245pb42yw55-2007-9-13-14-13-5 Accessed on 13 Sept. 2007
Total Exports of the USA in $ US Dollars by State. This data comes from Trade Stats Express - State Export Data and covers the years 2001- March 2007. Source: http://tse.export.gov/MapFrameset.aspx?MapPage=SEDMapWorldDisplay.aspx&UniqueURL=fzalwu55osssr245pb42yw55-2007-9-13-14-13-5 Accessed on 18 Sept. 2007
This data set illustrates the Greyhound Bus Terminals in Washington, DC, Maryland, and Virginia. http://www.greyhound.com/scripts/en/TicketCenter/locations.asp?state=va http://www.greyhound.com/scripts/en/TicketCenter/locations.asp?state=dc http://www.greyhound.com/scripts/en/TicketCenter/locations.asp?state=md September 20, 2007
Total tax revenue as a percentage of GDP indicates the share of a country's output that is collected by the government through taxes. It can thus be regarded as one measure of the degree to which the government controls the economy's resources. Taxes on incomes and profits as a percentage of GDP represents the amount of resources collected by government directly from the incomes of people and companies. Taxes on goods and services as a percentage of GDP represents the amount of resources the government collects from people as they spend their income on goods and services. Taxes are defined as compulsory, unrequited payments to general government. They are unrequited in the sense that benefits provided by government to taxpayers are not normally in proportion to their payments. Taxes on incomes and profits cover taxes levied on the net income or profits (gross income minus allowable tax reliefs) of individuals and enterprises. They also cover taxes levied on the capital gains of individuals and enterprises, and gains from gambling. Taxes on goods and services covers all taxes levied on the production, extraction, sale, transfer, leasing or delivery of goods, and the rendering of services, or on the use of goods or permission to use goods or to perform activities. They consist mainly of value added and sales taxes. Note that the sum of taxes on goods and services and taxes on income and profits do not equal total tax revenues, which also includes payments by employers and employees made under compulsory social security schemes as well as payroll taxes, taxes related to the ownership and transfer of property, and other taxes. Source URL: http://titania.sourceoecd.org/vl=10763390/cl=32/nw=1/rpsv/factbook/10-03-01.htm
The map is based on ORNL's Intermodal Transportation Network for Commodity Flow model data. It shows road network links for Virginia-DC-Maryland. This network also known as "Private Truck" network is nearly identical to "Truck-For-Hire" network. The integrated Intermodal Transportation Network consists of Road network, Rail network, Waterways network and intermodal terminal nodes and other traffic generator nodes. http://www.ornl.gov/
This data comprises a list of Convention Centers within the United States. Data Source: http://eventplanner.com/conventioncenters/ca.html Accessed on 26 September 2007
This dataset displays the locations of all the Greyhound Bus Terminals throughout the lower 48 states. 10/1/2007 http://www.greyhound.com/locations/locations.asp
The data for the map is based on DoD 2006 annual report on DoD contracts. The original report has over 1.25 million contracts. For the current map, only those records worth $10K or more were selected, which were then geocoded and grouped by Defense contractor (52,127). Of which only those in the lower 48 states were selected (50,929) which were then geographically assigned and aggregated to 433 congressional districts (109th Congress). The ranking of congressional districts by dollar value of total defense contract is given below: 1. Virginia's 8th district $11.789 billion (985 defense contractors) 2. Virginia's 10th district $6.096 billion (664 defense contractors) 3. California's 53rd district $3.034 billion (325 defense contractors) 4. Virginia's 11th district $2.931 billion (514 defense contractors) 5. Alabama's 1st district $2.585 billion (335 defense contractors) Note that there are over 5000 defense contractors that are located outside of the 50 U.S. states and Wash. D.C., with total defense contracts worth $7.066 billlion. The largest among these is worth over $1.45 billion to a company providing warehousing services and is based in a middle-east country.
This dataset contains nations' total business spending on fixed assets, such as factories, machinery, equipment, dwellings, and inventories of raw materials, which provide the basis for future production. It is measured gross of the depreciation of the assets, i.e., it includes investment that merely replaces worn-out or scrapped capital. The investment is shown as a percentage of each country's GDP. Source: CIA World Factbook, 2007: https://www.cia.gov/library/publications/the-world-factbook/docs/notesanddefs.html#2010 Accessed: 10.2.07
This dataset gives spending on defense programs for the most recent year available as a percent of gross domestic product (GDP); the GDP is calculated on an exchange rate basis, i.e., not in terms of purchasing power parity (PPP). Source: CIA World Factbook 2007: https://www.cia.gov/library/publications/the-world-factbook/docs/notesanddefs.html#2010 Accessed: 10.2.07
This data set illustrates the water resources of groundwater and surface water including the overlap and total by country. A value of -1 means that no data was available.
This dataset graphically tracks US investment abroad. The dataset covers many types of investment, including manufacturing, trade, and financial aspects. This data covers 2005 figures, and shows which countries' markets are heavily invested in by the US. This data was collected from the Bureau of Economic Analysis : http://www.bea.gov/scb/pdf/2007/07%20july/0707_dip_article.pdf and credit is given to Marilyn Ibarra and Jennifer Koncz. The authors of : Direct Investment Positions for 2006 Country and Industry Detail The data was accessed on October 1, 2007
The computed population density data for the map is based on a media CD released by ESRI in 2006. According to the media CD, China in 2006 comprised of 33 provinces. These include Tibet (now named Xizang, an autonomously administered region), Hong Kong and Macau (both of which are designated as special districts) along with Xingiang in the west, parts of which are involved in an unsettled border dispute with a neighboring country, as can be seen by a dotted line in google base map of the region and Taiwan. Compare this map with the population density map of 2002 that now has only 32 provinces...
The computed population density data for the map is based on a media CD released by ESRI in 2006. According to the media CD, China in 2006 comprised of 33 provinces. These include Tibet (now named Xizang, an autonomously administered region), Hong Kong and Macau (both of which are designated as special districts) along with Xingiang in the west, parts of which are involved in an unsettled border dispute with a neighboring country, as can be seen by a dotted line in google base map of the region and Taiwan. Compare this map with the population density map of 2002 that now has only 32 provinces...
This dataset graphically tracks US investment abroad. The dataset covers many types of investment, including manufacturing, trade, and financial aspects. This data covers 2006 figures, and shows which countries' markets are heavily invested in by the US. This data was collected from the Bureau of Economic Analysis : [Link] and credit is given to Marilyn Ibarra and Jennifer Koncz. The authors of : Direct Investment Positions for 2006 Country and Industry Detail The data was accessed on October 1, 2007
This data set illustrates the number of cattle, by thousand heads, per country from 1961-2004. A value of -1 means that no data was available. Cattle stock can be further defined as including "all cattle in the country, regardless of place or purpose of their breeding. Cattle figures include the common ox (Bos taurus), zebu, humped ox (Bos indicus), Asiatic ox (subgenus Bibos) and Tibetan yak (Poephagus grunniens)" (Earth Trends). Date Accessed: October 5th, 2007 Source URL: http://earthtrends.wri.org/searchable_db/index.php?step=countries&ccID%5B%5D=0&allcountries=checkbox&theme=8&variable_ID=338&action=select_years
This data set illustrates the world's wine production in hundreds of liters, by country and year. A value of -1 means that no data was available. Source URL: http://www.swivel.com/data_sets/show/1001590 Date Accessed: October 9th, 2007
This data set illustrates the earthquake that have happened between 1998 and 2007. Attributes included are the distance, region, direction, location, date, time, and magnitude. Source: USGS URL: http://www.swivel.com/data_sets/show/1009513 http://pasadena.wr.usgs.gov/shake/ca/archives.html Date Accessed: October 10th, 2007
The 2007 World Bank Group Entrepreneurship Survey measures entrepreneurial activity in 84 developing and industrial countries over the period 2003-2005. The database includes cross-country, time-series data on the number of total and newly registered businesses, collected directly from Registrar of Companies around the world. In its second year, this survey incorporates improvements in methodology, and expanded participation from countries covered, allowing for greater cross-border compatibility of data compared with the 2006 survey. This joint effort by the IFC SME Department and the World Bank Developing Research Group is the most comprehensive dataset on cross-country firm entry data available today. This database The World Bank Group Entrepreneurship Dataaset presents data collected primarily from country business registries using the first annual World Bank Group Questionnaire on Entrepreneurship (alternative sources were tax authorities, finance ministries, and national statistics offices). For more information on the author of the database, Leora Klapper, visit: http://go.worldbank.org/DK5AHCQSO0. This data was access at the preceeding link, on October 11, 2007. Please visit the link for more information in regards to this dataset.
This dataset lists the number of well known school shootings by state. Some states have had more incidents than others. School shooting is a term popularized in American and Canadian media to describe gun violence at educational institutions, especially the mass murder or spree killing of people connected with an institution. A school shooting can be perpetrated by one or more students, expelled students, alumni, faculty members, or outsiders. Unlike acts of revenge against specific people, school shootings usually involve multiple intended or actual victims, often randomly targeted. Source: Wikipedia section on school shootings http://en.wikipedia.org/wiki/School_shootings#List_of_school_shootings
In November 2002, U.S. President George W. Bush, visiting Europe for a NATO summit, declared that "should Iraqi President Saddam Hussein choose not to disarm, the United States will lead a coalition of the willing to disarm him." This dataset is a list of countries included in the "Coalition of the Willing." http://www.whitehouse.gov/news/releases/2003/03/20030327-10.html The original list prepared in March 2003 included 49 members. Of those 49, only four besides the U.S. contributed troops to the invasion force (the United Kingdom, Australia, Poland, and Denmark). 33 provided some number of troops to support the occupation after the invasion was complete. At least six members have no military. The war was deeply unpopular amongst the citizens of all the coalition countries except the United States and at least one, Costa Rica (which has no armed forces), requested in September 2004 to no longer be considered a member. Today the official White House list of the coalition shows 48 member states, however, the relevance of placing several of these members on the list has been questioned. Source: http://en.wikipedia.org/wiki/Coalition_of_the_willing#.22Coalition_of_the_willing.22 Accessed on 9 October 2007
This data reports terror incidents involving IEDs recorded for Iraq in the National Counter Terrorism Center's World Wide Incident Tracking Database. It covers incidents that were observed for the fourth quarter of 2006. The Center cautions that there could be some incidents that have occurred in Iraq that are not in the data. Fatalities, wounded and hostages taken for each record are included in the data. Text descriptions and information on the perpetrators are also included in the file.
This data reports terror incidents involving IEDs recorded for Iraq in the National Counter Terrorism Center's World Wide Incident Tracking Database. It covers incidents that were observed for the third quarter of 2006. The Center cautions that there could be some incidents that have occurred in Iraq that are not in the data. Fatalities, wounded and hostages taken for each record are included in the data. Text descriptions and information on the perpetrators are also included in the file
This data reports terror incidents involving IEDs recorded for Iraq in the National Counter Terrorism Center's World Wide Incident Tracking Database. It covers incidents that were observed for the second quarter of 2006. The Center cautions that there could be some incidents that have occurred in Iraq that are not in the data. Fatalities, wounded and hostages taken for each record are included in the data. Text descriptions and information on the perpetrators are also included in the file.
This data reports terror incidents involving IEDs recorded for Iraq in the National Counter Terrorism Center's World Wide Incident Tracking Database. It covers incidents that were observed for the first quarter of 2006. The Center cautions that there could be some incidents that have occurred in Iraq that are not in the data. Fatalities, wounded and hostages taken for each record are included in the data. Text descriptions and information on the perpetrators are also included in the file.
This data reports terror incidents involving IEDs recorded for Iraq in the National Counter Terrorism Center's World Wide Incident Tracking Database. It covers incidents that were observed for the fourth quarter of 2005. The Center cautions that there could be some incidents that have occurred in Iraq that are not in the data. Fatalities, wounded and hostages taken for each record are included in the data. Text descriptions and information on the perpetrators are also included in the file.
This data reports terror incidents involving IEDs recorded for Iraq in the National Counter Terrorism Center's World Wide Incident Tracking Database. It covers incidents that were observed for the third quarter of 2005. The Center cautions that there could be some incidents that have occurred in Iraq that are not in the data. Fatalities, wounded and hostages taken for each record are included in the data. Text descriptions and information on the perpetrators are also included in the file.
This data reports terror incidents involving IEDs recorded for Iraq in the National Counter Terrorism Center's World Wide Incident Tracking Database. It covers incidents that were observed for the second quarter of 2005. The Center cautions that there could be some incidents that have occurred in Iraq that are not in the data. Fatalities, wounded and hostages taken for each record are included in the data. Text descriptions and information on the perpetrators are also included in the file.
This data reports terror incidents involving IEDs recorded for Iraq in the National Counter Terrorism Center's World Wide Incident Tracking Database. It covers incidents that were observed for the first quarter of 2005. The Center cautions that there could be some incidents that have occurred in Iraq that are not in the data. Fatalities, wounded and hostages taken for each record are included in the data. Text descriptions and information on the perpetrators are also included in the file.
This data reports terror incidents involving IEDs recorded for Iraq in the National Counter Terrorism Center's World Wide Incident Tracking Database. It covers incidents that were observed for the fourth quarter of 2004. The Center cautions that there could be some incidents that have occurred in Iraq that are not in the data. Fatalities, wounded and hostages taken for each record are included in the data. Text descriptions and information on the perpetrators are also included in the file.
This data reports terror incidents involving IEDs recorded for Iraq in the National Counter Terrorism Center's World Wide Incident Tracking Database. It covers incidents that were observed for the third quarter of 2004. The Center cautions that there could be some incidents that have occurred in Iraq that are not in the data. Fatalities, wounded and hostages taken for each record are included in the data. Text descriptions and information on the perpetrators are also included in the file.
This is a point based representation of Airports. The dataset is comprised of 15044 features derived based on 1:3 000 000 data originally from RWDBII. The layer provides nominal at 1:3 000 000. Data processing complete globally. This data was collected from: http://www.fao.org/geonetwork/srv/en/metadata.show?id=29037&currTab=simple access date: October 15, 2007
This dataset is a point based representation of major port and harbors. The dataset layer is comprised of 4792 derivative vector framework library features derived based on 1:3 000 000 data originally from RWDBII. The layer provides nominal analytical/mapping at 1:3 000 000. Data processing complete globally. This data was collected from: http://www.fao.org/geonetwork/srv/en/metadata.show?id=29042&currTab=simple Access Date: October 15, 2007.
This dataset displays the roads in North and South America in a linear format. This shapefile data layer is comprised of 72099 derivative vector framework library features derived based on 1:3 000 000 data originally from RWDBII. The layer provides nominal analytical/mapping at 1:3 000 000. Data processing complete globally. Data Source: http://www.fao.org/geonetwork/srv/en/metadata.show?id=29044&currTab=simple Access Date: October 16, 2007 Notes: Please visit the previous link for more information regarding this particular dataset. This map is a portion of entire world map.
This Dataset shows the Alexa Top 100 International Websites, and provides metrics on the volume of traffic that these sites were able to handle. The Alexa top 100 lists the 100 most visited websites in the world and measures various statistical information. I have looked up the Headquarters, either through alexa, or a Whois Lookup to get street address with i was then able to geocode. I was only able to successfully geocode 85 of the top 100 sites throughout the world. Source of Data was Alexa.com, Source URL: http://www.alexa.com/site/ds/top_sites?ts_mode=global&lang=none Data was from October 12, 2007. Alexa is updated daily so to get more up to date information visit their site directly. they don't have maps though.
This dataset tracks the average applied tariff rates in both industrial and developing countries. Data is averaged for the years 1981-2005. Figures for 2005 have been estimated. Notes: All tariff rates are based on unweighted averages for all goods in ad valorem rates, or applied rates, or MFN rates whichever data is available in a longer period. Tariff data is primarily based on UNCTAD TRAINS database and then used WTO IDB data for gap filling if possible. Data in 1980s is taken from other source.** Tariff data in these countries came from IMF Global Monitoring Tariff file in 2004 which might include other duties or charges. Country codes are based on the classifications by income in WDI 2006, where 1 = low income, 2 = middle income, 3 = high incone non-OECDs, and 4 = high income OECD countries. Sources: UNCTAD TRAINS database (through WITS); WTO IDB database (through WITS); WTO IDB CD ROMs, various years and Trade Policy Review -- Country Reports in various issues, 1990-2005; UNCTAD Handbook of Trade Control Measures of Developing Countries -- Supplement 1987 and Directory of Import Regimes 1994; World Bank Trade Policy Reform in Developing Countries since 1985, WB Discussion Paper #267, 1994 and World Development Indicators, 1998-2006; The Uruguay Round: Statistics on Tariffs Concessions Given and Received, 1996; OECD Indicators of Tariff and Non-Tariff Trade Barriers, 1996 and 2000; and IMF Global Monitoring Tariff data file 2004. Data source: http://go.worldbank.org/LGOXFTV550 Access Date: October 17, 2007
This data set illustrates where the youth of the nation reside. Included in the data set are the rankings of city by age and the median age of the city. Source: Census data, Onboard 2006 projection URL: http://money.cnn.com/magazines/moneymag/bplive/2007/top25s/youngest.html Date Accessed: October 16, 2007
This dataset graphically tracks Foreign Direct Investment in the United States. The dataset covers many types of investment, including manufacturing, trade, and financial aspects. This data covers 2005 figures, and shows which markets are heavily invested in by foreign nations. This data was collected from the Bureau of Economic Analysis : http://www.bea.gov/scb/pdf/2007/07%20July/0707_dip_article.pdf and credit is given to Marilyn Ibarra and Jennifer Koncz. The authors of : Direct Investment Positions for 2006 Country and Industry Detail The data was accessed on October 1, 2007. Statistics are quoted in the Millions.
This dataset graphically tracks Foreign Direct Investment in the United States. The dataset covers many types of investment, including manufacturing, trade, and financial aspects. This data covers 2006 figures, and shows which markets are heavily invested in by foreign nations. This data was collected from the Bureau of Economic Analysis : http://www.bea.gov/scb/pdf/2007/07%20July/0707_dip_article.pdf and credit is given to Marilyn Ibarra and Jennifer Koncz. The authors of : Direct Investment Positions for 2006 Country and Industry Detail The data was accessed on October 1, 2007. Statistics are quoted in the Millions.
This dataset displays the Real GDP by metropolitan area for the years 2001-2005. For each of the posted metropolitan areas Millions of chained dollars and the percentage change from the previous year is posted. This data was geocoded according to city and state locations. During the geocoding process 233/363 records from the original dataset were successfully geocoded. The reason for this is that during the process is that the dataset often groups cities together into one metropolitan area, which were unable to be properly coded. This data was collected from the Bureau of Economic analysis at their web page at: http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm Access Date: October 29, 2007
This dataset displays the number of television receivers by country for the time period covering 1990 through 1997. Covered throughout this dataset is 150+ countries, This dataset was gathered from the United Nations Statistics Division. http://unstats.un.org/unsd/databases.htm Access Date: October 31, 2007
The United States Military Installations database contains the boundaries and location information for important military installations in the United States and Puerto Rico. The database includes records for 405 military installations. Source: National Transportation Atlas Database URL: http://www.bts.gov/publications/national_transportation_atlas_database/2006/
Version 2004 of the Fixed-Guideway Transit Network is a network database of the nation's fixed-guideway transit systems. The data set covers systems in cities defined as FTA's universe of cities and includes heavy rail, light rail, monorail, cable car, inclined plane, and automated guideway. Source: Bureau of Transportation Statistics URL: http://www.bts.gov/publications/national_transportation_atlas_database/2006/
Version 2004 of the Fixed-Guideway Transit Network is a network database of the nation's fixed-guideway transit systems. The data set covers systems in cities defined as FTA's universe of cities and includes heavy rail, light rail, monorail, cable car, inclined plane, and automated guideway. These are the lines that the trains follow between stations. Source: Bureau of Transportation Statistics URL: http://www.bts.gov/publications/national_transportation_atlas_database/2006/
The database provides location and attribute information for use in national and regional network analysis applications. Supplemental_Information: At the time of publishing the CD significant updates to the layer were underway. Please check http://gis.fra.dot.gov for the latest version of the dataset. The National Rail Network: 1:2,000,000 (line) contains 1 polyline feature (FRAID 8298) that is defined by more than 500 shape points. This feature will not import correctly into the workstation version of ArcInfo, which has a 500 shapepoint limit. When importing into the workstation version of ArcInfo, this feature will be automatically split into 2 features. As part of this process, attributes are simply duplicated on the split features. Because of this, an additonal node is added. The additional node will have incomplete attribution.
This dataset displays the number of mobile telephone subscribers by country for the time period spanning 1980 - 2004. Cellular mobile telephone subscribers aare defined as: Users of portable telephones subscribing to an automatic public mobile telephone service which provides access to the Public Switched Telephone Network (PSTN) using cellular technology. Data is available for 200+ countries. This data was found at: International Telecommunications Union (ITU), Yearbook of Statistics (Geneva), www.itu.int. http://unstats.un.org/unsd/cdb/cdb_source_xrxx.asp?source_code=36 . Access Date: November 1, 2007.
This dataset illustrates the number of public libraries by state. Shown here are more specifically the number of central libraries and the number of branches from the central libraries. Source: Public Libraries 2005 URL: http://nces.ed.gov/programs/stateprofiles/index.asp Date Accessed: November 6, 2007
This dataset displays the amounts renewable energy that was consumed on a national basis for over 220 countries. This data covers the years from 1980 to 2005. This data includes statistics on renewable energy other than hydroelectric consumption, which will be shown in a separate dataset. This data was collected from the Energy Information Administration. It was taken from their: International Energy Annual 2005. Table Posted: September 13, 2007. Next Update: June 2008. This data is directly available at: http://www.eia.doe.gov/fuelrenewable.html Access Date: November 8, 2007
This dataset displays the amount of hydroelectric power that was consumed on a nation level. The dataset covers the time period spanning from 1980 to 2005. Data is available for 200+ countries. This data is scalled at: Billion Kilowatt hours. Data references:Energy Information Administration International Energy Annual 2005 Table Posted: September 11, 2007 Next Update: June 2008 This data is available directly at: http://www.eia.doe.gov/fuelrenewable.html Access Date: November 8, 2007.
This dataset displays the number of active duty personnel and their location, by country. Included in these figures are the numbers for Army, Navy, Marine, and Air Force branches of the United States Military. Note: this data includes rounded figures for personnel involved in Operation Iraqi Freedom (OIF)and Operation Enduring Freedom (OEF). This data was collected from the department of Defense directly at: http://siadapp.dmdc.osd.mil/personnel/MILITARY/history/hst0706.pdf .
This dataset illustrates the cities with the largest wind speed differences. Also included are the city and state, the population, the speed differnce, the ranking, and the inverse ranking (to be used only for mapping purposes). Source: City-Data URL: http://www.city-data.com/top2/c466.html Date Accessed: November 9, 2007
This dataset shows the levels of various crimes throughout the Boroughs of London, UK. Data is available monthly, with September being the most recently available month.
This dataset shows City level data for all over the United States, and has various attributes for different crimes. Cities are shown as Latitude and longitude points. Attributes include murder, manslaughter, violent crimes, arson, motor vehicle theft, property crimes, aggravated assault, burglary, larceny, theft, and rape. Data was provided by the Federal Bureau of Investigation. Source: FBI URL: http://www.fbi.gov/ucr/cius2006/data/table_08.html
As the need for energy grows, so does the cost and the environmental risks. One of the great energy solutions is wind energy. This dataset illustrates the top 20 wind energy potential states in billions of kWhs for wind classes of 3 and higher. Source: American Wind Energy Association URL: http://www.awea.org/pubs/factsheets/Wind_Energy_An_Untapped_Resource.pdf Date Accessed: November 19, 2007
This dataset displays the Corruption Perceptions Index Score by country in 2007. Data is available for 160+ countries, and is provided through swivel.com at: http://www.swivel.com/data_sets/show/1009906 and Transparency International directly at: http://www.transparency.org/news_room/in_focus/2007/cpi2007/cpi_2007_table Access Date: November 20, 2007. Also, included is a country rank and confidence score to go along with the CPI score. Swivel description: The 2007 Corruption Perceptions Index looks at perceptions of public sector corruption in 180 countries and territories - the greatest country coverage of any CPI to date and is a composite index that draws on 14 expert opinion surveys. It scores countries on a scale from zero to ten, with zero indicating high levels of perceived corruption and ten indicating low levels of perceived corruption.
This dataset displays the amount of loans received by each country from a foreign bank. This data is available on a quarterly level timescale, with data available for 200+ countries worldwide. This data is directly available at: http://devdata.worldbank.org/sdmx/jedh/jedh_dbase.html access date November 26, 2007.
This dataset displays the total Portfolio Investment Assets by country at year end of 2005. By selecting each attribute country, the map will show the amount in which other countries are investing assets into the selected country. The purpose of the CPIS is to collect information on the stock of cross-border holdings of equities and long- and short-term debt securities valued at market prices prevailing at the time of the CPIS, and broken down by the economy of residence of the issuer. The CPIS calls for data on holdings of securities at end-December of the reference year. In addition to this core (i.e., mandated) set of data, the CPIS also encourages the reporting of supplementary information that is considered to be useful, as indicated below. Data available from the IMF directly at: http://www.imf.org/external/np/sta/pi/geo.htm Access Date: November 27, 2007
This dataset displays the growth rate of imports of goods and services during each time period. Data is available from 2001 - 2007. This data are reported on a calendar-year basis. DPAD's estimates for 2006 and forecasts for 2007. Data Available: http://unstats.un.org/unsd/ Data Accessed: November 29, 2007
This dataset displays the number of Research and development researchers in their respective countries. This data is on an annual time line, and was formed by: UNESCO Institute for Statistics. http://www.uis.unesco.org, Core Theme: Science and Technology. Montreal. The United Nations Statistical Yearbook is an annual compilation of a wide range of international economic, social and environmental statistics on over 200 countries and areas of the world, compiled from sources including UN agencies and other international, national and specialized organizations. The 50th issue contains data available to the Statistics Division as of March 2006 and presents them in 76 tables on topics such as: agriculture; balance of payments; culture and communication; development assistance; education; energy; environment; finance; industrial production; international merchandise trade; international tourism; labor force; manufacturing; national accounts; nutrition; population; prices; research and development; transport; and wages. The number of years of data shown in the tables varies from one to ten, with the ten-year tables covering 1994 to 2003 or 1995 to 2004. Accompanying the tables are technical notes providing brief descriptions of major statistical concepts, definitions and classifications. For publication information please visit https://unp.un.org/details.aspx?entry=B06SYH&title=Statistical+Yearbook+2005 Data Availability: http://unstats.un.org/unsd Access Date: November 29, 2007
This dataset illustrates the 200 tallest high-rise buildings in the world. Also shown are the height in meters and feet, the year it started, the city, the rank, the inverse rank to be used for mapping only, the building name, and the number of floors.
This is a map of the locations of all of the WalMart stores throughout the United States. This dataset geocodes the street address of the Walmarts and shows their locations on the map along with their phone numbers for more information. This data was found at a Walmart Locations website which aggregated the locations by state. here is our Source for the information: http://www.priceviewer.com/walmart_locations/
This is a point file of readings from traffic counter locations from 1986 to 2002 throughout highways and roads in Virginia. The data was compiled from the Virginia Department of Transportation, the Maryland Department of Transportation, the DC Department of Transportation and ESRI.
The data comes from a the following sources: VDOT, MDOT, DCDOT, ESRI. It shows traffic counts on these roads between 1995 and 2002.
Where are the Presidential Candidates today in New Hampshire? This dataset shows where the 2008 Presidential Candidates are today campaigning on January 7th, 2008. The data provides the Candidate's name, their Party, their campaign stop's location, the event description, and the time of the event. Information for the dataset was obtained from boston.com Data was accessed on January 4th, 2008 http://www.boston.com/news/politics/2008/nh/calendar/
This dataset shows the locations of just under 2,000 observatories around the world. This data was collected from the KMZ file provided at: http://www.observatory-guide.org/. Because it is a KMZ file the excel download will not register correctly. This data was accessed on January 8, 2008.
This dataset was derived from Swivel.com at: http://www.swivel.com/data_sets/show/1011482 Which cites the CIA Fact book as the official Source. https://www.cia.gov/library/publications/the-world-factbook/ Data is available for 60 countries around the world, and lists the Muslim Population for each. This data was collected on January 15, 2008.
The data included in the GIS Traffic Stations Version database have been assimilated from station description files provided by FHWA for Weigh-in-Motion (WIM), and Automatic Traffic Counters (ATR). Location referencing information was derived from the National Highway Planning Network version 4.0. and State offices of Transportation The attributes on the point elements of the database have come from two primary sources, the Station Description Records and the National Highway Planning Network's Linear Referencing System. The attributes for these databases have been intentionally limited to location referencing attributes since the core station description attribute data are contained within the Station Description Tables (SDT). There is a separate Station Description Table (SDT) for each of the different station types; WIM, and ATR. The attributes in the Station Description Table correspond with the Station Description Record found in Chapter 6 of the latest Traffic Monitoring Guide. The SDT contains the most recent stations available for each state and station type. This table was derived from files provided UTCTR by FHWA. The Station Description Table can be linked to the station shapefile via the STNNKEY field . A single exception table containing records for those stations that could not be located is provided for WIM, and ATR stations. Generally, this table contains records where location descriptions were not clear enough to locate a station. It is hoped that FHWA will be able to contact the States for a more detailed description Purpose: The GIS Traffic Stations database provides structural linkages between the National Highway Planning Network Weigh In Motion (WIM), and Automatic Traffic Count Stations (ATR)
State of Arizona - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
California - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Connecticut - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Hawaii - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Illinois Elementary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Maine Elementary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Massachusetts Elementary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Michigan Elementary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Missouri Elementary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Montana Elementary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Nebraska Elementary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
New Hampshire Elementary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
New Jersey Elementary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
New York Elementary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
North Dakota Elementary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Oklahoma Elementary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Oregon Elementary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Rhode Island Elementary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
South Carolina Elementary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Tennessee Elementary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Texas Elementary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Vermont Elementary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Washington Elementary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Wisconsin Elementary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Arizona Secondary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
California Secondary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Connecticut Secondary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Hawaii Secondary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Illinois Secondary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Maine Secondary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Massachusetts Secondary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Montana Secondary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Nebraska Secondary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
New Hampshire Secondary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
New Jersey Secondary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
New York Secondary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
South Carolina Secondary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Tennessee Secondary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Vermont Secondary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
This Dataset shows the approximate locations and brief text descriptions of Terrorist attacks on infrastructure around the world from 2004 until september 31st, 2007. Data was found at the Worldwide Incidence Tracking System.
Wisconsin Secondary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Civilian Labor Force and Unemployment (in Thousands) by Census Region & Division, Not Seasonally Adjusted (Table2) - Feb/March 2008 & Feb/March 2007 for comparison
Civilian Labor Force (in thous) and Unemployment (in thous & percent)By State, not seasonally adjusted - Feb & March 2008 with comparison to Feb & March 2007
Employees (in Thous) on Non-Farm payrolls by State and selected Industry Sector - Table 5, Part 1 (Totals, Construction & Manufacturing)- Jan-Mar 2008 & Mar 2007 for comparison. Also, see Table 5 Part 2 & 3.
Number of Employees (in Thous)on Non-Farm Payrolls by State and selected Industry Sector, Seasonally adjusted - Jan-Mar 2008 & March 2007. Table 5, Part 2 includes Industries of Trade, Financial & Professional services. Also see Table 5 Part 1 & 3.
Number Employees (in Thous) on Non-Farm payrolls by State and selected Industry Sectors, Seasonally Adj - Table 5, Part 3 (includes Education, Leisure & Hospitality and Government Sectors) - Jan-Mar 2008 & Mar 2007 for comparison. Also, see Table 5 Part 1 & 2
This data was downloaded from the Cuban website in March of 2008. All missing data is represented as -1. The selection of data for different years varies. The National Center of Statistics and the National Center of Information of Medical Sciences offer health statistics corresponding to the years 1995, 1996, 1997, 1998, 1999 , 2000 , 2001 , 2002 , 2003 , 2004, 2005 y 2006. The documents contain an important volume of statistical information about the fundamental components of the state of health of the Cuban population, resources, services, and the training of qualified personal. This has been published for 23 consecutive years. The indicators presented come from the following information sources: * Demographic publications from the National Office of Statistics * System of Information of National Statistics * System of Information of Statistics about the health sector * Direction of ambulatory attention (referencing family doctors) * National direction of Teaching (doctors and dentists in residence) * Registry of health professionals
US States which have significantly higher unemployment rates than that of the US average (5.1%) - March 2008 (Table A from Bureau of Labor Statistics)
Projections of the Population (against the 1990 Census), By Age 0-4 years old at individual State level: 1995 to 2025. Data provided by Census although I added calculations for percent change. (Numbers in thousands. Resident population. Series A projections. For more details, see Population Paper Listings #47, "Population Projections for States, by Age, Sex, Race, and Hispanic Origin: 1995 to 2025.")
Projections of the Population (against the 1990 Census), By Age 5-17 year old at individual State level: 1995 to 2025. Data provided by Census although I added calculations for percent change. (Numbers in thousands. Resident population. Series A projections. For more details, see Population Paper Listings #47, "Population Projections for States, by Age, Sex, Race, and Hispanic Origin: 1995 to 2025.")
Projections of the Population (against the 1990 Census), By Age 25-64 year old at individual State level: 1995 to 2025. Data provided by Census although I added calculations for percent change. (Numbers in thousands. Resident population. Series A projections. For more details, see Population Paper Listings #47, "Population Projections for States, by Age, Sex, Race, and Hispanic Origin: 1995 to 2025.")
Projections of the Population (against the 1990 Census), By Age 65+ year old at individual State level: 1995 to 2025. Data provided by Census although I added calculations for percent change. (Numbers in thousands. Resident population. Series A projections. For more details, see Population Paper Listings #47, "Population Projections for States, by Age, Sex, Race, and Hispanic Origin: 1995 to 2025.")
Projections of the Population (against the 1990 Census), By Age 18-24 year old at individual State level: 1995 to 2025. Data provided by Census although I added calculations for percent change. (Numbers in thousands. Resident population. Series A projections. For more details, see Population Paper Listings #47, "Population Projections for States, by Age, Sex, Race, and Hispanic Origin: 1995 to 2025.")
Exports Imports Balance (in Millions of Dollars) of Goods by selected Countries - Current Year, Not Seasonally Adj, updated on April 10 2008
Exports Imports Balance of Goods by selected Countries - Prior Year (2007), Not Seasonally Adj, updated on April 10 2008
Exports, Imports, and Balance (in Millions of Dollars) of Advanced Technology Products by Country, Not Seasonally Adj, updated on April 10 2008
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in the United Kingdom. Power Plant emissions from all power plants in the UK were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. Only Power Plants that had a listed longitude and latitude in CARMA's database were mapped. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information http://carma.org/region/detail/201
This dataset comes from the Worldwide incidents tracking system and shows the locations as well as a brief text description about Assassinations throughout the world from 2004-Sept 31st 2007.
4th Quarter 2007 (preliminary) Existing Home Sales (in Thous) by State. Also, includes 2005, 2006, and each Quarter for 2007. NAR releases statistics on state-by-state existing-home sales each quarter. The state existing-home sales report includes single-family houses, condos and co-ops.
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in the USA. Power Plant emissions from all power plants in the United Staes were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information http://carma.org/region/detail/202
This data was downloaded from the Cuban website in March of 2008. All missing data is represented as -1. The selection of data for different years varies. The National Center of Statistics and the National Center of Information of Medical Sciences offer health statistics corresponding to the years 1995, 1996, 1997, 1998, 1999 , 2000 , 2001 , 2002 , 2003 , 2004, 2005 y 2006. The documents contain an important volume of statistical information about the fundamental components of the state of health of the Cuban population, resources, services, and the training of qualified personal. This has been published for 23 consecutive years. The indicators presented come from the following information sources: * Demographic publications from the National Office of Statistics * System of Information of National Statistics * System of Information of Statistics about the health sector * Direction of ambulatory attention (referencing family doctors) * National direction of Teaching (doctors and dentists in residence) * Registry of health professionals
This data was downloaded from the Cuban website in March of 2008. All missing data is represented as -1. The selection of data for different years varies. The National Center of Statistics and the National Center of Information of Medical Sciences offer health statistics corresponding to the years 1995, 1996, 1997, 1998, 1999 , 2000 , 2001 , 2002 , 2003 , 2004, 2005 y 2006. The documents contain an important volume of statistical information about the fundamental components of the state of health of the Cuban population, resources, services, and the training of qualified personal. This has been published for 23 consecutive years. The indicators presented come from the following information sources: * Demographic publications from the National Office of Statistics * System of Information of National Statistics * System of Information of Statistics about the health sector * Direction of ambulatory attention (referencing family doctors) * National direction of Teaching (doctors and dentists in residence) * Registry of health professionals
This data was downloaded from the Cuban website in March of 2008. All missing data is represented as -1. The selection of data for different years varies. The National Center of Statistics and the National Center of Information of Medical Sciences offer health statistics corresponding to the years 1995, 1996, 1997, 1998, 1999 , 2000 , 2001 , 2002 , 2003 , 2004, 2005 y 2006. The documents contain an important volume of statistical information about the fundamental components of the state of health of the Cuban population, resources, services, and the training of qualified personal. This has been published for 23 consecutive years. The indicators presented come from the following information sources: * Demographic publications from the National Office of Statistics * System of Information of National Statistics * System of Information of Statistics about the health sector * Direction of ambulatory attention (referencing family doctors) * National direction of Teaching (doctors and dentists in residence) * Registry of health professionals
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in India. Power Plant emissions from all power plants in India were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, lat/lon, and plant id for each individual power plant. Only Power Plants that had a listed longitude and latitude in CARMA's database were mapped. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information http://carma.org/region/detail/90
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in China. Power Plant emissions from all power plants in China were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, metro area, lat/lon, and plant id for each individual power plant. Only Power Plants that had a listed longitude and latitude in CARMA's database were mapped. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information http://carma.org/region/detail/47
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in South Africa. Power Plant emissions from all power plants in South Africa were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, lat/lon, and plant id for each individual power plant. Only Power Plants that had a listed longitude and latitude in CARMA's database were mapped. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information http://carma.org/region/detail/174
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Australia. Power Plant emissions from all power plants in Australia were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, metro area, lat/lon, and plant id for each individual power plant. Only Power Plants that had a listed longitude and latitude in CARMA's database were mapped. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information http://carma.org/region/detail/18
FCC (Federal Communication Commission) publishes annual telephone traffic data data for the all carriers. The data uploaded is for year 2005 and shows the number of telephone messages by country between the U.S. and that country. Look for previous years data on Finder!
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Germany. Power Plant emissions from all power plants in Germany were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, metro area, lat/lon, and plant id for each individual power plant. Only Power Plants that had a listed longitude and latitude in CARMA's database were mapped. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information http://carma.org/region/detail/78
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Japan. Power Plant emissions from all power plants in Japan were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, metro area, lat/lon, and plant id for each individual power plant. Only Power Plants that had a listed longitude and latitude in CARMA's database were mapped. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information http://carma.org/region/detail/99
This dataset displays the number of casualties and injuries on a state level. For each state in the United States statistics are given for both Operation Enduring Freedom, and Operation Iraqi Freedom. These figures are current as of April 26, 2008. These statistics are given for both hostile and non hostile instances. As well as figures for death and (WIA) - Wounded in action. H=Hostile; NH=Non-hostile * WIA (est) = Additional estimated WIA for the state based on reported losses (not all WIA records have home of record detail) * WIA (act) = Actual Wounded in Action (WIA) with home of record for the specified state
The shapefile is based on FCC (Federal Communications Commission) data on international telecom traffic between individual countries and the U.S. for all carriers in Year 2005. The data is listed for 248 countries. It lists total number of telephone messages, the total time for all telephone messages, total revenue for each country by all carriers.
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Russia. Power Plant emissions from all power plants in Russia were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, metro area, lat/lon, and plant id for each individual power plant. Only Power Plants that had a listed longitude and latitude in CARMA's database were mapped. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information http://carma.org/region/detail/160
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in South Korea. Power Plant emissions from all power plants in South Korea were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, metro area, lat/lon, and plant id for each individual power plant. Only Power Plants that had a listed longitude and latitude in CARMA's database were mapped. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
This dataset displays the number of active duty military personnel injuries and deaths during Operation Enduring Freedom and Operation Iraqi Freedom. This data is current as of April 26, 2008. It displays statistics regarding hostile, and non hostile deaths and injuries. These figures are broken down by state. * WIA (act) = Actual Wounded in Action (WIA) with home of record for the specified state H=Hostile; NH=Non-hostile * WIA (est) = Additional estimated WIA for the state based on reported losses (not all WIA records have home of record detail)
U.S. Census released estimates of 2007 population by race and by state on 1st May, 2008. Here is a bulletin from Census: http://www.census.gov/Press-Release/www/releases/archives/population/011910.html
This dataset displays Air Force Casualty and injury statistic summaries by state for Operations Enduring Freedom and Iraqi Freedom. This data is current as of April 26, 2008. Included in the data is a breakdown as to hostile and non hostile death/injuries. H=Hostile; NH=Non-hostile * WIA (est) = Additional estimated WIA for the state based on reported losses (not all WIA records have home of record detail) * WIA (act) = Actual Wounded in Action (WIA) with home of record for the specified state
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions and power plant types around the world by country. This information was obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The location of the countries is placed by lat/lon coordinates that was provided by CARMA. The dataset provides the country, region type, plant count, and lat/lon for each individual country. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. % Fossil: The percentage of total electricity that is generated by the combustion of coal, oil, or natural gas. % Hydro: The percentage of total electricity that is generated by hydroelectric power facilities. % Nuclear: The percentage of total electricity that is generated by nuclear power facilities. % Other Renewable: The percentage of total electricity that is generated by the use of wind, solar, biomass, geothermal, captured heat, or hydrogen energy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
The U.S. Census released the data on annual change in minority population by state on 1st May, 2008. here is the press-release: http://www.census.gov/Press-Release/www/releases/archives/population/011910.html
This is the monthly data for U.S. employment and unemployment by state including some numbers for Puerto Rico. This dataset was accessed on April 7th 2008. The data for February 2008 are preliminary. The data presented are seasonally adjusted although the unadjusted numbers are also available. Unavailable data are represented as -1. The dataset is taken from Tables 3 and 5 from the United States Department of Labor, Bureau of Labor Statistics. It includes the civilian labor force, the unemployed in numbers and percentages, and employment by industry. Data from table 3 "refer to place of residence. Data for Puerto Rico are derived from a monthly household survey similar to the Current Population Survey. Area definitions are based on Office of Management and Budget Bulletin No. 08-01, dated November 20, 2007, and are available at http://www.bls.gov/lau/lausmsa.htm. Estimates for the latest month are subject to revision the following month". Data from table 5 "are counts of jobs by place of work. Estimates are currently projected from 2007 benchmark levels. Estimates subsequent to the current benchmarks are provisional and will be revised when new information becomes available. Data reflect the conversion to the 2007 version of the North American Industry Classification System (NAICS) as the basis for the assignment and tabulation of economic data by industry, replacing NAICS 2002. For more details, see http://www.bls.gov/sae/saenaics07.htm.
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in the Poland. Power Plant emissions from all power plants in the Poland were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
"All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in the Italy. Power Plant emissions from all power plants in the Italy were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information"
Rhode Island Public Transit Authority, RIPTA, statewide bus stops for public transit service with individual route and stop information effective September 2007 It is not the intention when using this data set to determine the exact routing, timing or scheduling of bus trips. Transit system routes and schedules including frequency of service change periodically. Users of this data should check with RIPTA for the most up to data information and not rely on this data for final determinations. www.ripta.com
This data was downloaded from the Cuban website in March of 2008. All missing data is represented as -1. The selection of data for different years varies. The National Center of Statistics and the National Center of Information of Medical Sciences offer health statistics corresponding to the years 1995, 1996, 1997, 1998, 1999 , 2000 , 2001 , 2002 , 2003 , 2004, 2005 y 2006. The documents contain an important volume of statistical information about the fundamental components of the state of health of the Cuban population, resources, services, and the training of qualified personal. This has been published for 23 consecutive years. The indicators presented come from the following information sources: * Demographic publications from the National Office of Statistics * System of Information of National Statistics * system of Information of Statistics about the health sector * Direction of ambulatory attention (referencing family doctors) * National direction of Teaching (doctors and dentists in residence) * Registry of health professionals
This dataset displays the number of active duty military personnel injuries and deaths during Operation Enduring Freedom and Operation Iraqi Freedom. This data is current as of April 26, 2008. It displays statistics regarding hostile, and non hostile deaths and injuries. These figures are broken down by state. * WIA (act) = Actual Wounded in Action (WIA) with home of record for the specified state H=Hostile; NH=Non-hostile * WIA (est) = Additional estimated WIA for the state based on reported losses (not all WIA records have home of record detail)
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Taiwan. Power Plant emissions from all power plants in Taiwan were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, metro area, lat/lon, and plant id for each individual power plant. Only Power Plants that had a listed longitude and latitude in CARMA's database were mapped. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
This data was downloaded from the Cuban website in March of 2008. All missing data is represented as -1. The selection of data for different years varies. The National Center of Statistics and the National Center of Information of Medical Sciences offer health statistics corresponding to the years 1995, 1996, 1997, 1998, 1999 , 2000 , 2001 , 2002 , 2003 , 2004, 2005 y 2006. The documents contain an important volume of statistical information about the fundamental components of the state of health of the Cuban population, resources, services, and the training of qualified personal. This has been published for 23 consecutive years. The indicators presented come from the following information sources: * Demographic publications from the National Office of Statistics * System of Information of National Statistics * system of Information of Statistics about the health sector * Direction of ambulatory attention (referencing family doctors) * National direction of Teaching (doctors and dentists in residence) * Registry of health professionals
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Spain. Power Plant emissions from all power plants in Spain were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Canada. Power Plant emissions from all power plants in Canada were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
This data was downloaded from the Cuban website in March of 2008. All missing data is represented as -1. The selection of data for different years varies. The National Center of Statistics and the National Center of Information of Medical Sciences offer health statistics corresponding to the years 1995, 1996, 1997, 1998, 1999 , 2000 , 2001 , 2002 , 2003 , 2004, 2005 y 2006. The documents contain an important volume of statistical information about the fundamental components of the state of health of the Cuban population, resources, services, and the training of qualified personal. This has been published for 23 consecutive years. The indicators presented come from the following information sources: * Demographic publications from the National Office of Statistics * System of Information of National Statistics * system of Information of Statistics about the health sector * Direction of ambulatory attention (referencing family doctors) * National direction of Teaching (doctors and dentists in residence) * Registry of health professionals
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Turkey. Power Plant emissions from all power plants in Turkey were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
"All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Mexico. Power Plant emissions from all power plants in Mexico were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information"
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Indonesia. Power Plant emissions from all power plants in Indonesia were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
"All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Iran. Power Plant emissions from all power plants in Iran were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information"
Ratio of population aged 65 and over to the total population in select countries, 1980-2005 and projections to 2050 Null data of ".." was changed to -1
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Ukraine. Power Plant emissions from all power plants in Ukraine were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Thailand. Power Plant emissions from all power plants in Thailand were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
Ratio of the inactive population aged 65 and over to the labour force aged 15 to 64, with projections through 2050. The percentage of the population that is 65 years or older is rising in all OECD countries and is expected to continue doing so. The number of inactive elderly as a ratio of the number in the total labour force is also increasing throughout OECD countries. These trends have a number of implications for government and private spending on pensions and health care and, more generally, for economic growth and welfare. Population is defined as the resident population, i.e. all persons, regardless of citizenship, who have a permanent place of residence in the country. The labour force is defined according to the ILO Guidelines and consists of those in employment plus persons who are available for work and who are actively seeking employment. Population projections are taken from national sources where these are available, but for some countries they are based on Eurostat and UN projections. Null data ".." was changed to be -1
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Saudi Arabia. Power Plant emissions from all power plants in Saudi Arabia were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
This dataset was retrieved from the U.S. Department of Justice Federal Bureau of Investigation Criminal Justice Information Services Division website on February 29, 2008. "This table provides arrest data for 29 separate UCR offenses for each state for 2006". The table provides data for total arrests by class of crime. "The FBI collects these data through the Uniform Crime Reporting (UCR) Program". Estimated population was added for each state for 2006 that appeared on Table 5 of the data from 2006. Please see the Data Declaration for further information on the data set. Values of -1 represent no value.
Population growth rates (Annual growth percentages) 1980-2007 and projections through 2050 Original file went back to 1950. Null data of ".." and "-" were changed to be -1
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Kazakhstan. Power Plant emissions from all power plants in Kazakhstan were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
Total Population (in thous) 1980-2007 and projections through 2050 Original file went back to 1950. Null data of ".." was changed to be -1
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Malaysia. Power Plant emissions from all power plants in Malaysia were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
This dataset was retrieved from the U.S. Department of Justice Federal Bureau of Investigation Criminal Justice Information Services Division website on February 29, 2008. "This table provides arrest data for 29 separate UCR offenses for each state for 2006. The table provides arrests of juveniles (persons under the age of 18)", by class of crime. "The FBI collects these data through the Uniform Crime Reporting (UCR) Program". Please see the Data Declaration for further information on the data set. Values of -1 represent no value.
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in the Netherlands. Power Plant emissions from all power plants in the Netherlands were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
Fertility Rates (number of children born) for Women aged 15 to 49 - 1970-2005 Null data of ".." changed to -1
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in the Czech Republic. Power Plant emissions from all power plants in the Czech Republic were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
Labour compensation per unit labour input shows the average compensation received by employees of businesses, either per hour worked or on an annual basis per employee. Annual growth rates based on data in national currency show relative changes over time in labour compensation across countries. Adjusting by purchasing power parity (PPP) converts all countries data to a common currency allowing meaningful cross country comparisons of data in levels to be made. The country data can be interpreted as the quantity of equivalent goods and services that could be purchased for the compensation received for labour services rendered. The data presented here are an output of the OECD System of Unit Labour Cost and Related Indicators which produces annual and quarterly unit labour cost and related indicators (e.g., labour compensation per unit labour input, labour productivity) according to a specific methodology to ensure data are comparable across all OECD countries. Null data of ".." changed to -999
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Greece. Power Plant emissions from all power plants in Greece were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
This dataset was retrieved from the U.S. Department of Justice Federal Bureau of Investigation Criminal Justice Information Services Division website on February 29, 2008. "This table provides the estimated number of offenses and the actual number of offenses reported in the Metropolitan Statistical Areas (MSA), cities outside metropolitan areas, and nonmetropolitan counties, and the rate (per 100,000 inhabitants) for each grouping, and the estimated population for each state" however to simplify the dataset, I only included the state total and the rate for each state. Data for Puerto Rico was not included. "The FBI collects these data through the Uniform Crime Reporting (UCR) Program". Please see the Data Declaration for further information on the data set. Values of -1 represent no value.
Labour compensation per unit labour input, total economy - Annual growth in percentage Null data ".." changed to -1
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Israel. Power Plant emissions from all power plants in Israel were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
Labour compensation ( US dollars calculated using PPPs) per Employee Null data ".." changed to -1
This dataset was retrieved from the U.S. Department of Justice Federal Bureau of Investigation Criminal Justice Information Services Division website on February 29, 2008. "This table provides the total number of state law enforcement employees, the total number of male officers, the total number of female officers, the total number of male civilian employees, and the total number of female civilian employees". Values for individual agencies were aggregated for each state. Estimated population was added for each state for 2006 that appeared on Table 5 of the data from 2006. "The FBI collects these data through the Uniform Crime Reporting (UCR) Program". Please see the Data Declaration for further information on the data set. Values of -1 represent no value.
This dataset was retrieved from the U.S. Department of Justice Federal Bureau of Investigation Criminal Justice Information Services Division website on February 29, 2008. "This table provides the type of weapons used in murder offenses. The data are based on the aggregated data from agencies within each state for which supplemental homicide data (i.e., weapon information) were reported to the FBI. The table also includes a breakdown of the types of firearms used in murders (i.e., handguns, rifles, shotguns, or unknown firearms)". "The FBI collects these data through the Uniform Crime Reporting (UCR) Program". Estimated population was added for each state for 2006 that appeared on Table 5 of the data from 2006. Total murders from 2005 and 2004 were also included. Please see the Data Declaration for further information on the data set. Values of -1 represent no value.
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in France. Power Plant emissions from all power plants in France were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Egypt. Power Plant emissions from all power plants in Egypt were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Serbia. Power Plant emissions from all power plants in Serbia were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Philippines. Power Plant emissions from all power plants in Philippines were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Romania. Power Plant emissions from all power plants in Romania were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Uzbekistan. Power Plant emissions from all power plants in Uzbekistan were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Argentina. Power Plant emissions from all power plants in Argentina were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
Hispanic population at county level by single age in year 2000. the data is for all ages from 1 to 84, also infants and those of age 85 and more. The original data published by NCHS (National center for Health Statistic) of CDC has data by race and ethnicity. This particular data was extracted for the lower 48 counties for Hispanic descent.
Hispanic population at county level by single age in year 2000. the data is for all ages from 1 to 84, also infants and those of age 85 and more. The original data published by NCHS (National center for Health Statistic) of CDC has data by race and ethnicity. This particular data was extracted for the lower 48 counties for Hispanic descent.
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Finland. Power Plant emissions from all power plants in Finland were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
Hispanic population at county level by single age in year 2000. the data is for all ages from 1 to 84, also infants and those of age 85 and more. The original data published by NCHS (National center for Health Statistic) of CDC has data by race and ethnicity. This particular data was extracted for the lower 48 counties for Hispanic descent.
Hispanic population at county level by single age in year 2000. the data is for all ages from 1 to 84, also infants and those of age 85 and more. The original data published by NCHS (National center for Health Statistic) of CDC has data by race and ethnicity. This particular data was extracted for the lower 48 counties for Hispanic descent.
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Belgium. Power Plant emissions from all power plants in Belgium were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
Hispanic population at county level by single age in year 2000. the data is for all ages from 1 to 84, also infants and those of age 85 and more. The original data published by NCHS (National center for Health Statistic) of CDC has data by race and ethincity. This particular data was extracted for the lower 48 counties for Hispanic descent.
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Vietnam. Power Plant emissions from all power plants in Vietnam were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in United Arab Emirates. Power Plant emissions from all power plants in United Arab Emirates were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Pakistan. Power Plant emissions from all power plants in Pakistan were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
DESCRIPTION Enclosed are data from CIESIN's Global subnational rates of child underweight status database. Further documentation for these data is available in the enclosed catalog and on the CIESIN Poverty Mapping web site at: http://www.ciesin.columbia.edu/povmap This is the beta release of this product. See the Poverty Mapping home page for additional information on the product. CITATION We recommend the following for citing the database: Center for International Earth Science Information Network (CIESIN), Columbia University; 2005 Global subnational rates of child underweight status [dataset]. CIESIN, Palisades, NY, USA. Available at: http://www.ciesin.columbia.edu/povmap/ds_global.html
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Bulgaria. Power Plant emissions from all power plants in Bulgaria were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
Employment rates for age group 15-24 in Select Countries- as a percent of Total Population for the same age group, 1966-2006 Changed null value of ".." to be -1
This dataset displays countries that had ten percent or more of their population age 65 and older. This data was collecte through agingstats.gov.
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Brazil. Power Plant emissions from all power plants in Brazil were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
Enclosed are data from CIESIN's Global subnational infant mortality rates database. Further documentation for these data is available in the enclosed catalog and on the CIESIN Poverty Mapping web site at: http://www.ciesin.columbia.edu/povmap Center for International Earth Science Information Network (CIESIN), Columbia University; 2005 Global subnational infant mortality rates [dataset]. CIESIN, Palisades, NY, USA. Available at: http://www.ciesin.columbia.edu/povmap/ds_global.html
Employment rates for age group 25-54 in Select Countries- as a percent of Total Population for the same age group, 1966-2006 Changed null value of ".." to be -1
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Denmark. Power Plant emissions from all power plants in Denmark were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
Employment rates for age group 55-64 in Select Countries- as a percent of Total Population for the same age group, 1966-2006 Changed null value of ".." to be -1
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Chile. Power Plant emissions from all power plants in Chile were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
This dataset displays the annual import of both beef and veal stocks into the United States. The figures are given in a carcass wt. 1,000 pounds scale. Data is available from 2003 to January of 2008. The main sources being Australia, Canada, and New Zealand.
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Portugal. Power Plant emissions from all power plants in Portugal were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
Hispanic population at county level by single age in year 2000. the data is for all ages from 1 to 84, also infants and those of age 85 and more. The original data published by NCHS (National center for Health Statistic) of CDC has data by race and ethnicity. This particular data was extracted for the lower 48 counties for Hispanic descent.
This dataset explores Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce statistics on the 2007 North American Industry Classification System (NAICS) Total all merchandise exports from Alaska. This dataset was accessed through the trade stat express - State export data website.
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Belarus. Power Plant emissions from all power plants in Belarus were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
This dataset displays the annual beef and veal exports by country from the United States. This is on a Carcass wt. 1000 pound scale. The time period covered stretches from 2003 to January of 2008.
This dataset explores Early Care and Education Funding: Head Start Allocation and State-Funded Prekindergarten Expenditure. This data is state level and expresses the expenditure per state in United States (US) Dollars ($). Head Start and Early Head Start are comprehensive child development programs that serve children from birth to age 5, their families, and pregnant women. The overall goal of these programs is to increase the school readiness of young children in families earning low incomes. The Head Start program delivers comprehensive services including: education, health, nutrition, screening for developmental delays, and a variety of social services, if the family needs them. The program is designed to meet the social, emotional, physical and cognitive development of children. This data is from Latest Data: Fiscal Year 2004 (Head Start) and School Year 2002-2003 (State Funded Prekindergarten). This data is from National Child Care Information Center. Refer to NCCIC Child Care Database for detailed state information (http://nccic.org/IMS/Results.asp). Compiled by: National Association of Child Care Resources and Referral Agencies (http://www.naccrra.org/randd/head_start/expenditure.php)
Life expectancy (in years) at birth: Men in select countries, 1960-2006 Null value of ".." changed to -1
This dataset explores Early Care and Education Funding: Head Start Allocation and State-Funded Prekindergarten Participation. This data is state level and expresses the participation per state. Head Start and Early Head Start are comprehensive child development programs that serve children from birth to age 5, their families, and pregnant women. The overall goal of these programs is to increase the school readiness of young children in families earning low incomes. The Head Start program delivers comprehensive services including: education, health, nutrition, screening for developmental delays, and a variety of social services, if the family needs them. The program is designed to meet the social, emotional, physical and cognitive development of children. This data is from Latest Data: Fiscal Year 2004 (Head Start) and School Year 2002-2003 (State Funded Prekindergarten). This data is from National Child Care Information Center. Refer to NCCIC Child Care Database for detailed state information (http://nccic.org/IMS/Results.asp). Compiled by: National Association of Child Care Resources and Referral Agencies (http://www.naccrra.org/randd/head_start/expenditure.php)
This data explores 8th grade writing scores as measured by the Nation's Report Card. This report presents the results of the 2007 National Assessment of Educational Progress (NAEP) writing assessment. It was administered to a nationally representative sample of more than 165,000 eighth- and twelfth-graders from public and private schools. In addition to national results, the report includes state and urban district results for grade 8 public school students. Forty-five states, the Department of Defense schools, and 10 urban districts voluntarily participated. To measure their writing skills, the assessment engaged students in narrative, informative, and persuasive writing tasks. NAEP presents the writing results as scale scores and achievement-level percentages. Results are also reported for student performance by various demographic characteristics such as race/ethnicity, gender, and eligibility for the National School Lunch Program. The 2007 national results are compared with results from the 2002 and 1998 assessments. At grades 8 and 12, average writing scores and the percentages of students performing at or above Basic were higher than in both previous assessments. The White -- Black score gap narrowed at grade 8 compared to 1998 and 2002 but showed no significant change at grade 12. The gender score gap showed no significant change at grade 8 compared with previous assessments but narrowed at grade 12 since 2002. Eighth-graders eligible for free or reduced-price school lunch scored lower on average than students who were not eligible. Compared with 2002, average writing scores for eighth-graders increased in 19 states and the Department of Defense schools, and scores decreased in one state. Compared with 1998, scores increased in 28 states and the Department of Defense Schools, and no states showed a decrease. Scores for most urban districts at grade 8 were comparable to or higher than scores for large central cities but were below the national average.
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Singapore. Power Plant emissions from all power plants in Singapore were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
Life expectancy (in years)at birth: Women in select countries Null data ".." changed to -1
This dataset explores Achievement-level results in NAEP writing for eighth-grade public school students, by state: 1998, 2002, and 2007 Not available. The state/jurisdiction did not participate or did not meet the minimum participation guidelines for reporting. # Rounds to zero. * Significantly different (p < .05) from 2007 when only one state/jurisdiction or the nation is being examined. 1 National results for assessments prior to 2002 are based on the national sample, not on aggregated state samples. SOURCE: U.S. Department of Education, Institute of Education Sciences, National Center for Education Statistics, National Assessment of Educational Progress (NAEP), 1998, 2002, and 2007 Writing Assessments.
Life expectancy (in years) at birth: Total (Men & Women) in select countries Null value ".." changed to -1
This data comes from the US Census Bureau and it examines the percent of grandparents who raise their grandchildren in the US by state. This data illustrates this by rank, percent, and margin of error.
This data comes from the US Census, and is illustrated by rank, percent, and margin of error.
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Kuwait. Power Plant emissions from all power plants in Kuwait were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Algeria. Power Plant emissions from all power plants in Algeria were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Hungary. Power Plant emissions from all power plants in Hungary were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Ireland. Power Plant emissions from all power plants in Ireland were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
Metropolitan area median home prices -2005, 2006, 2007(p) and individual quarters for 2007.
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Austria. Power Plant emissions from all power plants in Austria were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Morocco. Power Plant emissions from all power plants in Morocco were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Turkmenistan. Power Plant emissions from all power plants in Turkmenistan were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
This data comes from the US Census and is illustrated through margin of error, percent of those below the poverty line, and rank of states with the worst senior poverty.
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Iraq. Power Plant emissions from all power plants in Iraq were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
Selected Coastal Place Names in Hawaii. Source: 'Reference Maps of Hawaii,' University of Hawaii Press, 1989, at the scale of 1'' = 2.5 miles (Kauai), 13/32'' = 1 mile (Oahu and Maui), and 1'' = 4 miles (Hawaii).
This dataset was created from the CDC's National Vital Statistics Reports Volume 56, Number 6. The dataset includes all data available from this report by state level and includes births by race and Hispanic origin, births to unmarried women, rates of cesarean delivery, and twin and multiple birth rates. The data are final for 2005. No value is represented by a -1. "Descriptive tabulations of data reported on the birth certificates of the 4.1 million births that occurred in 2005 are presented. Denominators for population-based rates are postcensal estimates derived from the U.S. 2000 census".
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Slovakia. Power Plant emissions from all power plants in Slovakia were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
Description: Point Locations of Dams throughout the Hawaiian Islands Source: Download from National Inventory of Dams, March, 2006 History: Download from National Inventory of Dams (http://crunch.tec.army.mil/nid/webpages/nid.cfm) Projected from geographic coordinates to NAD 83, UTM Zone 4 meters Moved two incorrectly located dams Attributes: Points: See National Inventory of Dams Data Dictionary for Attribute Information
This data comes from the US Census from 2006, and is illustrated by percent of those with a disability, margin of error, and rank by state.
Percentage of Elderly Population by Country, 2004 or latest available year.In all OECD countries, populations aged 65 years and over have dramatically increased over the last 30 years, both in size and as a percentage of total population. As elderly people tend to be concentrated in few areas within each country, a small number of regions will have to face the social and economic challenges raised by ageing population.
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Venezuela. Power Plant emissions from all power plants in Venezuela were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Syria. Power Plant emissions from all power plants in Syria were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
Index of Geographic Concentration of Elderly Population - 2004 or latest available year
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in North Korea. Power Plant emissions from all power plants in North Korea were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
In all OECD countries, populations aged 65 years and over have dramatically increased over the last 30 years, both in size and as a percentage of total population. As elderly people tend to be concentrated in few areas within each country, a small number of regions will have to face the social and economic challenges raised by aging population Share of National Elderly Population in the 10% Regions with the largest Elderly Population - 2004 or latest year available
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Bangladesh. Power Plant emissions from all power plants in Bangladesh were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
Description: Locations of small boat harbors and boat ramps. Source: DLNR, Division of Boating and Ocean Recreation. For more information on sources and methods used, see CZM report cited below. History: Compiled from data described above onto USGS quadrangle maps and digitized by Ogden Environmental in 1994 in Arc/Info version 6.1.2. Note: For more information, refer to "Final Report: Comprehensive Management of Coastal Resources, Phase1," Ogden Environmental Services for the Coastal Zone Management Program, Office of Planning, June 1994.
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in New Zealand. Power Plant emissions from all power plants in New Zealand were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
Description: Locations of hotels in the State of Hawaii. Source: List of hotels from Hospitality Advisors LLC, 2006. History: This dataset was created from a table in Excel format from Hospitality Advisors, LLC. The address field was used to initially locate the hotels by geocoding using ArcMap. Further rectification was done using various sources including TMK Parcels, aerial and satellite photos, etc.
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Colombia. Power Plant emissions from all power plants in Colombia were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
US International Trade in Goods & Services - 3month moving average -Seasonally adjusted, Seasonally adjusted: Jan 2006-Feb 2008
This dataset is taken from Table 11 of the Maryland Vital Statistics Annual Report 2005 which includes births in Maryland by age and race by county for 2005. Baltimore City and Baltimore County have been combined.
This Dataset shows some basic demographic data from the US census located around the San Francisco MSA at tract level. Attributes include Average age, female and male population, white population, hispanic population, population density, and total population.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Alabama as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Alaska as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Arizona as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Arkansas as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of California as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Colorado as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Connecticut as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Delaware as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Florida as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Georgia as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Hawaii as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Idaho as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Illinois as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Indiana as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Iowa as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Kansas as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Kentucky as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Louisiana as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Maine as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Maryland as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Massachusetts as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Michigan as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Minnesota as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Mississippi as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Missouri as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Montana as of 3.2008. This includes both female and male institutions.
2008 Republican presidential primary results for Alabama
This dataset displays the locations of all the Adult Correctional Facilities in the state of Nebraska as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Nevada as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of New Hampshire as of 3.2008. This includes both female and male institutions.
The results of Alabama Democratic Presidential primary results by county
This dataset displays the locations of all the Adult Correctional Facilities in the state of New Jersey as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of New Mexico as of 3.2008. This includes both female and male institutions.
The polyshape file shows results of Arizona Democratic presidential primary by congressional district
This dataset displays the locations of all the Adult Correctional Facilities in the state of New York as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of North Carolina as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Ohio as of 3.2008. This includes both female and male institutions.
This dataset displays the annual import and export figures of cattle to and from the United States. Data is primarily available for Canada and Mexico. These statistics represent the head count of cattle traded.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Oklahoma as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Oregon as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Pennsylvania as of 3.2008. This includes both female and male institutions.
The polyshape file shows results of Arkansas Democratic presidential primary by county.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Rhode Island as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of South Carolina as of 3.2008. This includes both female and male institutions.
Its a polyshape file of the results of Arizona Democratic presidential primary by congressional district.
This dataset displays the locations of all the Adult Correctional Facilities in the state of South Dakota as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Tennessee as of 3.2008. This includes both female and male institutions.
The results of California Democratic presidential primary by congressional district. California has 53 congressional districts.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Texas as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Utah as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Vermont as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Virginia as of 3.2008. This includes both female and male institutions.
The polyshape file shows results of California Republican presidential primary by congressional district.
Origin of Movement of U. S. Exports of Goods by State by NAICS-Based Product code groupings, Feb 2008 & YTD 2008 Changed null value of (-) to be -1.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Washington as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of West Virginia as of 3.2008. This includes both female and male institutions.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Wisconsin as of 3.2008. This includes both female and male institutions.
This dataset displays the annual US import of pork. This is measured in carcass weight by 1000 pound scale. The data is available from 2003 - January of 2008.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Wyoming as of 3.2008. This includes both female and male institutions.
The polyshape file shows results of Colorado Democratic presidential primary by county.
U.S. Services by Major Category - Exports , Seasonally adjusted (in Millions of Dollars) -Jan 2006-Feb 2008, updated on April 10 2008
The polyshape file shows results of Connecticut Democratic presidential primary by congressional district
Imports of Crude Oil by Country (not seas adj) Jan-Feb 2008, updated on April 10 2008 Null value of (-) changed to be -1
The poly shape file shows results of Delaware Democratic presidential primary by city/town
US Services by Major Category Imports - Jan 2006-Feb 2008 Seasonally Adjusted (in Millions of Dollars), Updated on April 10 2008
The polyshape file shows results of Georgia Democratic presidential primary by county
US Trade in Goods - Jan 2006-Feb 2008 Seasonally Adjusted, updated on April 10 2008
This dataset displays the inmate populations for all the Federal Prisons throughout the United States on 2.28.08. This weekly Population Report can be found on the Bureau of Prisons website at bop.gov. These facilities are positioned by their lat/lon. This dataset is updated on a weekly basis.
The results of Illinois Democratic presidential primary by congressional district.
This dataset displays the annual pork exports of the United states. The data is displayed by country on a scale of carcass weight by 1000 pounds. The time period covered is 2003 to Jan 2008
This dataset displays the inmate populations for all the Federal Prisons throughout the United States on 3.6.08. This weekly Population Report can be found on the Bureau of Prisons website at bop.gov. These facilities are positioned by their lat/lon. This dataset is updated on a weekly basis.
This dataset displays the inmate populations for all the Federal Prisons throughout the United States on 3.13.08. This weekly Population Report can be found on the Bureau of Prisons website at bop.gov. These facilities are positioned by their lat/lon. This dataset is updated on a weekly basis.
The data shows the results of Iowa presidential primary and share of Democratic presidential primary votes by candidate and by county.
Exports, Imports & Trade Balance By Country & Area, Not Seasonally Adjusted, Prior Year -Feb 2007 & YTD 2007, Updated on April 10, 2008 Null Values of (-) & (X) were changed to -9999
This dataset displays the inmate populations for all the Federal Prisons throughout the United States on 3.20.08. This weekly Population Report can be found on the Bureau of Prisons website at bop.gov. These facilities are positioned by their lat/lon. This dataset is updated on a weekly basis.
This dataset displays the inmate populations for all the Federal Prisons throughout the United States on 3.27.08. This weekly Population Report can be found on the Bureau of Prisons website at bop.gov. These facilities are positioned by their lat/lon. This dataset is updated on a weekly basis.
This dataset was collected from the Children's Defense Fund website. The data come from the "Protect Children, Not Guns" Reports from years 2007, 2004 and 2000. They include data on deaths of children from firearms due to homicide, suicide, accident, and undetermined intent from 1996 to 2004 by state. Sources: U.S. Department of Health and Human Services, National Center for Health Statistics, Table III: Deaths from # selected causes, and U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Injury Prevention and Control, WISQARS, at http://www.cdc.gov/ncipc/wisqars/ [2001]. Calculations by the Childrens Defense Fund.
Exports, Imports & Trade Balance By Country & Area, Not Seasonally Adjusted, Current Year -Feb 2008 & YTD 2008, Updated on April 10, 2008 Null values of (-) & (X) were changed to -9999
This dataset displays the inmate populations for all the Federal Prisons throughout the United States on 5.1.08. This weekly Population Report can be found on the Bureau of Prisons website at bop.gov. These facilities are positioned by their lat/lon. This dataset is updated on a weekly basis.
Exports and Imports of Motor Vehicles and Parts By Selected Countries, Not Seasonally Adj - in Millions of Dollars, updated on April 10 2008
The polyshape data shows the distribution of votes for the Iowa Democratic primary by congressional districts and share of votes for the major democratic candidates.
This dataset shows the amount of money that each state spent on their Corrections program both in percentage of the Overall amount of money spent in the State and as a total amount of money. This data was brought to our attention by the Pew Charitable Trusts in their report titled, One in 100: Behind Bars in America 2008. The main emphasis of the article emphasizes the point that in 2007 1 in every 100 Americans were in prison. To note: The District of Columbia is not included. D.C. prisoners were transferred to federal custody in 2001.
This data comes from the US Census Bureau and is illustrated by margin of error, percent, and rank of children in the US below the poverty level.
This dataset shows the number of people that are in prison by state in 2006 and 2007. These numbers are then compared to show the difference between the two years and a percentage of change is given as well. This data was brought to our attention by the Pew Charitable Trusts in their report titled, One in 100: Behind Bars in America 2008."" The main emphasis of the article emphasizes the point that in 2007 1 in every 100 Americans were in prison. To note: Many states have not completed their data verification process. Final published figures may differ slightly. The District of Columbia is not included. D.C. prisoners were transferred to federal custody in 2001
This data comes from the US Census Bureau and is illustrated by margin of error, percent, and rank of children with all parents in the labor force.
The data shows the results of Democratic primaries in Massachusetts along with share of votes for major candidates by congressional districts.
This dataset displays environmental regulation facilities and sites in Alaska. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset shows the percentage of State Employees that work in Corrections by state in the year 2006. This data was brought to our attention by the Pew Charitable Trusts in their report titled, One in 100: Behind Bars in America 2008. The main emphasis of the article emphasizes the point that in 2007 1 in every 100 Americans were in prison. To note: The District of Columbia is not included. D.C. prisoners were transferred to federal custody in 2001
This data originally comes from the US Census Bureau and is illustrated by margin of error, percent, and rank of households that are married and have their own children.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
The U.S. inmate population compared to the 26 largest European inmate populations (years vary). This data was brought to our attention by the Pew Charitable Trusts in their report titled, One in 100: Behind Bars in America 2008. The main emphasis of the article emphasizes the point that in 2007 1 in every 100 Americans were in prison. To Note: Rates are for total number of residents, not just adults. Figures in this chart may not align with others due to differences in counting methods.
2008 Cotton - Foreign Agriculture - Export Import Consumption Production Distribution Blank fields were filled with -99 Updated on January 11, 2008
This dataset shows the comparison between the amount of spending that was spent on higher education and corrections by each state in the United States from 1987 to 2007. This data was brought to our attention by the Pew Charitable Trusts in their report titled, "One in 100: Behind Bars in America 2008." The main emphasis of the article emphasizes the point that in 2007 1 in every 100 Americans were in prison. To note: Many states have not completed their data verification process. Final published figures may differ slightly. The District of Columbia is not included. D.C. prisoners were transferred to federal custody in 2001
Dairy- Foreign Agriculture - Export Import Consumption Production Distribution Null (Empty cells) were changed to -999
This dataset shows data on Hazmat statistics for the year 2007. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occured during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat Air Incidents across the United States. This includes all incidents that occurred when Hazardous Materials were being transported through the air
Dairy 2006 - Foreign Agriculture - Export Import Consumption Production Distribution Null (Empty cells) were changed to -999
This dataset shows data on Hazmat statistics for the year 2006. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat Air Incidents across the United States. This includes all incidents that occurred when Hazardous Materials were being transported through the air
Dairy 2003 - Foreign Agriculture - Export Import Consumption Production Distribution Null (Empty cells) were changed to -999
This dataset shows data on Hazmat statistics for the year 2005. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat Air Incidents across the United States. This includes all incidents that occurred when Hazardous Materials were being transported through the air
This dataset shows data on Hazmat statistics for the year 2004. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat Air Incidents across the United States. This includes all incidents that occurred when Hazardous Materials were being transported through the air
This dataset shows data on Hazmat statistics for the year 2003. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat Air Incidents across the United States. This includes all incidents that occurred when Hazardous Materials were being transported through the air
This dataset shows data on Hazmat statistics for the year 2002. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat Air Incidents across the United States. This includes all incidents that occurred when Hazardous Materials were being transported through the air
This data originally comes from the US Census, and is illustrated by margin of error, percent, and rank of households with the most people under 18.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This data originally comes from the US Census and is illustrated by margin of error, percent, and rank of families with related children below the poverty line.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset displays the locations of all the public libraries in the state of Virginia. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
The shape file data shows results of the Mississippi Democratic primary by county
The shape file data shows results of the Missouri Democratic primary by county
The shape file data shows results of the 2008 Nevada Democratic caucus by county.
The shape file data shows results of the New Jersey Democratic primary by county.
This dataset shows data on Hazmat statistics for the year 2001. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat Air Incidents across the United States. This includes all incidents that occurred when Hazardous Materials were being transported through the air
The shape file data shows results of the Ohio Democratic primary by Congressional Districts
This dataset shows data on Hazmat statistics for the year 2000. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat Air Incidents across the United States. This includes all incidents that occurred when Hazardous Materials were being transported through the air
The shape file data shows results of the Tennessee Democratic primary by county.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset shows data on Hazmat statistics for the year 1999. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat Air Incidents across the United States. This includes all incidents that occurred when Hazardous Materials were being transported through the air
This dataset shows data on Hazmat statistics for the year 1998. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat Air Incidents across the United States. This includes all incidents that occurred when Hazardous Materials were being transported through the air
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
The polyshape file data shows results of the Texas Democratic primary by county.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset shows data on Hazmat statistics for the year 1997. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat Air Incidents across the United States. This includes all incidents that occurred when Hazardous Materials were being transported through the air
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset shows data on Hazmat statistics for the year 1996. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat Air Incidents across the United States. This includes all incidents that occurred when Hazardous Materials were being transported through the air
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset shows data on Hazmat statistics for the year 1995. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat Air Incidents across the United States. This includes all incidents that occurred when Hazardous Materials were being transported through the air
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset shows data on Hazmat statistics for the year 1994. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat Air Incidents across the United States. This includes all incidents that occurred when Hazardous Materials were being transported through the air
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset shows data on Hazmat statistics for the year 1993. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat Air Incidents across the United States. This includes all incidents that occurred when Hazardous Materials were being transported through the air
Quarterly Bankruptcy Filings by State, United States, 2006-2007
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset shows data on Hazmat statistics for the year 2007. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat Highway Incidents across the United States. This includes all incidents that occurred when Hazardous Materials were being transported through roadways
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset shows data on Hazmat statistics for the year 2006. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat Highway Incidents across the United States. This includes all incidents that occurred when Hazardous Materials were being transported through roadways
This dataset shows data on Hazmat statistics for the year 2005. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat Highway Incidents across the United States. This includes all incidents that occurred when Hazardous Materials were being transported through roadways
This dataset is a boundary file obtained from the US Census Tiger Shape file library which can be found online. I downloaded the File for California then Used ESRI ArcMap to cut out the San Francisco MSA from Californai. Census demographic data was joined to the boundaries. This file includes attributes on Race and Populations and other demographic data.
This dataset shows data on Hazmat statistics for the year 2004. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat Highway Incidents across the United States. This includes all incidents that occurred when Hazardous Materials were being transported through roadways
This dataset shows data on Hazmat statistics for the year 2003. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat Highway Incidents across the United States. This includes all incidents that occurred when Hazardous Materials were being transported through roadways
This dataset shows data on Hazmat statistics for the year 2002. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat Highway Incidents across the United States. This includes all incidents that occurred when Hazardous Materials were being transported through roadways
2007 Grains- Foreign Agriculture - Export Import Consumption Production Distribution Blank fields were filled with -99
This dataset shows data on Hazmat statistics for the year 2001. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat Highway Incidents across the United States. This includes all incidents that occurred when Hazardous Materials were being transported through roadways
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset shows data on Hazmat statistics for the year 2000. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat Highway Incidents across the United States. This includes all incidents that occurred when Hazardous Materials were being transported through roadways
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset shows data on Hazmat statistics for the year 1999. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat Highway Incidents across the United States. This includes all incidents that occurred when Hazardous Materials were being transported through roadways
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
Contains physical information on commercial facilities at the principal U.S. Coastal, Great Lakes and Inland Ports. The data consists of listings of port area's waterfront facilities, including information on berthing, cranes, transit sheds, grain elevators, marine repair plants, fleeting areas, and docking and storage facilities. Collection of data is performed on a rotational basis to ensure on-site accuracy at each facility.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset shows data on Hazmat statistics for the year 1998. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat Highway Incidents across the United States. This includes all incidents that occurred when Hazardous Materials were being transported through roadways
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset shows data on Hazmat statistics for the year 1997. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat Highway Incidents across the United States. This includes all incidents that occurred when Hazardous Materials were being transported through roadways
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
he data included in the GIS Traffic Stations Version database have been assimilated from station description files provided by FHWA for Weigh-in-Motion (WIM), and Automatic Traffic Counters (ATR). Location referencing information was derived from the National Highway Planning Network version 4.0. and State offices of Transportation The attributes on the point elements of the database have come from two primary sources, the Station Description Records and the National Highway Planning Network's Linear Referencing System. The attributes for these databases have been intentionally limited to location referencing attributes since the core station description attribute data are contained within the Station Description Tables (SDT). There is a separate Station Description Table (SDT) for each of the different station types; WIM, and ATR. The attributes in the Station Description Table correspond with the Station Description Record found in Chapter 6 of the latest Traffic Monitoring Guide. The SDT contains the most recent stations available for each state and station type. This table was derived from files provided UTCTR by FHWA. The Station Description Table can be linked to the station shapefile via the STNNKEY field . A single exception table containing records for those stations that could not be located is provided for WIM, and ATR stations. Generally, this table contains records where location descriptions were not clear enough to locate a station. It is hoped that FHWA will be able to contact the States for a more detailed description
Map of the state boundaries
Map of the state boundaries
This dataset shows data on Hazmat statistics for the year 1996. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat Highway Incidents across the United States. This includes all incidents that occurred when Hazardous Materials were being transported through roadways
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset shows data on Hazmat statistics for the year 1995. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat Highway Incidents across the United States. This includes all incidents that occurred when Hazardous Materials were being transported through roadways
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset shows data on Hazmat statistics for the year 1994. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat Highway Incidents across the United States. This includes all incidents that occurred when Hazardous Materials were being transported through roadways
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset shows data on Hazmat statistics for the year 1993. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat Highway Incidents across the United States. This includes all incidents that occurred when Hazardous Materials were being transported through roadways
2006 Grains- Foreign Agriculture - Export Import Consumption Production Distribution Blank fields were filled with -99
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
This dataset shows data on Hazmat statistics for the year 2007. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat incidents across the United State that were deemed ""serious"" by PHMSA. The definition for serious is; * a fatality or major injury caused by the release of a hazardous material, * the evacuation of 25 or more persons as a result of release of a hazardous material or exposure to fire, * a release or exposure to fire which results in the closure of a major transportation artery, * the alteration of an aircraft flight plan or operation, * the release of radioactive materials from Type B packaging, * the release of over 11.9 gallons or 88.2 pounds of a severe marine pollutant, or * the release of a bulk quantity (over 119 gallons or 882 pounds) of a hazardous material.
This dataset shows data on Hazmat statistics for the year 2006. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat incidents across the United State that were deemed ""serious"" by PHMSA. The definition for serious is; * a fatality or major injury caused by the release of a hazardous material, * the evacuation of 25 or more persons as a result of release of a hazardous material or exposure to fire, * a release or exposure to fire which results in the closure of a major transportation artery, * the alteration of an aircraft flight plan or operation, * the release of radioactive materials from Type B packaging, * the release of over 11.9 gallons or 88.2 pounds of a severe marine pollutant, or * the release of a bulk quantity (over 119 gallons or 882 pounds) of a hazardous material.
This dataset shows data on Hazmat statistics for the year 2005. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat incidents across the United State that were deemed ""serious"" by PHMSA. The definition for serious is; * a fatality or major injury caused by the release of a hazardous material, * the evacuation of 25 or more persons as a result of release of a hazardous material or exposure to fire, * a release or exposure to fire which results in the closure of a major transportation artery, * the alteration of an aircraft flight plan or operation, * the release of radioactive materials from Type B packaging, * the release of over 11.9 gallons or 88.2 pounds of a severe marine pollutant, or * the release of a bulk quantity (over 119 gallons or 882 pounds) of a hazardous material.
Map of the state boundaries
Map of the state boundaries
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset shows data on Hazmat statistics for the year 2004. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat incidents across the United State that were deemed ""serious"" by PHMSA. The definition for serious is; * a fatality or major injury caused by the release of a hazardous material, * the evacuation of 25 or more persons as a result of release of a hazardous material or exposure to fire, * a release or exposure to fire which results in the closure of a major transportation artery, * the alteration of an aircraft flight plan or operation, * the release of radioactive materials from Type B packaging, * the release of over 11.9 gallons or 88.2 pounds of a severe marine pollutant, or * the release of a bulk quantity (over 119 gallons or 882 pounds) of a hazardous material.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset shows data on Hazmat statistics for the year 2003. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat incidents across the United State that were deemed ""serious"" by PHMSA. The definition for serious is; * a fatality or major injury caused by the release of a hazardous material, * the evacuation of 25 or more persons as a result of release of a hazardous material or exposure to fire, * a release or exposure to fire which results in the closure of a major transportation artery, * the alteration of an aircraft flight plan or operation, * the release of radioactive materials from Type B packaging, * the release of over 11.9 gallons or 88.2 pounds of a severe marine pollutant, or * the release of a bulk quantity (over 119 gallons or 882 pounds) of a hazardous material.
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
This dataset shows data on Hazmat statistics for the year 2002. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat incidents across the United State that were deemed ""serious"" by PHMSA. The definition for serious is; * a fatality or major injury caused by the release of a hazardous material, * the evacuation of 25 or more persons as a result of release of a hazardous material or exposure to fire, * a release or exposure to fire which results in the closure of a major transportation artery, * the alteration of an aircraft flight plan or operation, * the release of radioactive materials from Type B packaging, * the release of over 11.9 gallons or 88.2 pounds of a severe marine pollutant, or * the release of a bulk quantity (over 119 gallons or 882 pounds) of a hazardous material.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
Map of the state boundaries
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
This dataset shows data on Hazmat statistics for the year 2001. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat incidents across the United State that were deemed ""serious"" by PHMSA. The definition for serious is; * a fatality or major injury caused by the release of a hazardous material, * the evacuation of 25 or more persons as a result of release of a hazardous material or exposure to fire, * a release or exposure to fire which results in the closure of a major transportation artery, * the alteration of an aircraft flight plan or operation, * the release of radioactive materials from Type B packaging, * the release of over 11.9 gallons or 88.2 pounds of a severe marine pollutant, or * the release of a bulk quantity (over 119 gallons or 882 pounds) of a hazardous material.
This dataset displays environmental regulation facilities and sites by state. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
Map of the state boundaries
This dataset shows data on Hazmat statistics for the year 2000. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat incidents across the United State that were deemed ""serious"" by PHMSA. The definition for serious is; * a fatality or major injury caused by the release of a hazardous material, * the evacuation of 25 or more persons as a result of release of a hazardous material or exposure to fire, * a release or exposure to fire which results in the closure of a major transportation artery, * the alteration of an aircraft flight plan or operation, * the release of radioactive materials from Type B packaging, * the release of over 11.9 gallons or 88.2 pounds of a severe marine pollutant, or * the release of a bulk quantity (over 119 gallons or 882 pounds) of a hazardous material.
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The EPA Geospatial Data Access Project provides a downloadable extensible markup language (XML) file, Shapefile and Feature Class of these facilities or sites. Within the file is key facility information, along with associated environmental interests for use in mapping and reporting applications.
Map of the state boundaries
This dataset shows data on Hazmat statistics for the year 1999. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat incidents across the United State that were deemed ""serious"" by PHMSA. The definition for serious is; * a fatality or major injury caused by the release of a hazardous material, * the evacuation of 25 or more persons as a result of release of a hazardous material or exposure to fire, * a release or exposure to fire which results in the closure of a major transportation artery, * the alteration of an aircraft flight plan or operation, * the release of radioactive materials from Type B packaging, * the release of over 11.9 gallons or 88.2 pounds of a severe marine pollutant, or * the release of a bulk quantity (over 119 gallons or 882 pounds) of a hazardous material.
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
This dataset shows data on Hazmat statistics for the year 1998. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat incidents across the United State that were deemed ""serious"" by PHMSA. The definition for serious is; * a fatality or major injury caused by the release of a hazardous material, * the evacuation of 25 or more persons as a result of release of a hazardous material or exposure to fire, * a release or exposure to fire which results in the closure of a major transportation artery, * the alteration of an aircraft flight plan or operation, * the release of radioactive materials from Type B packaging, * the release of over 11.9 gallons or 88.2 pounds of a severe marine pollutant, or * the release of a bulk quantity (over 119 gallons or 882 pounds) of a hazardous material.
This dataset shows data on Hazmat statistics for the year 1997. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat incidents across the United State that were deemed ""serious"" by PHMSA. The definition for serious is; * a fatality or major injury caused by the release of a hazardous material, * the evacuation of 25 or more persons as a result of release of a hazardous material or exposure to fire, * a release or exposure to fire which results in the closure of a major transportation artery, * the alteration of an aircraft flight plan or operation, * the release of radioactive materials from Type B packaging, * the release of over 11.9 gallons or 88.2 pounds of a severe marine pollutant, or * the release of a bulk quantity (over 119 gallons or 882 pounds) of a hazardous material.
Map of the state boundaries
This dataset shows data on Hazmat statistics for the year 1996. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat incidents across the United State that were deemed ""serious"" by PHMSA. The definition for serious is; * a fatality or major injury caused by the release of a hazardous material, * the evacuation of 25 or more persons as a result of release of a hazardous material or exposure to fire, * a release or exposure to fire which results in the closure of a major transportation artery, * the alteration of an aircraft flight plan or operation, * the release of radioactive materials from Type B packaging, * the release of over 11.9 gallons or 88.2 pounds of a severe marine pollutant, or * the release of a bulk quantity (over 119 gallons or 882 pounds) of a hazardous material.
Map of the state boundaries
This dataset shows data on Hazmat statistics for the year 1995. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat incidents across the United State that were deemed ""serious"" by PHMSA. The definition for serious is; * a fatality or major injury caused by the release of a hazardous material, * the evacuation of 25 or more persons as a result of release of a hazardous material or exposure to fire, * a release or exposure to fire which results in the closure of a major transportation artery, * the alteration of an aircraft flight plan or operation, * the release of radioactive materials from Type B packaging, * the release of over 11.9 gallons or 88.2 pounds of a severe marine pollutant, or * the release of a bulk quantity (over 119 gallons or 882 pounds) of a hazardous material.
Map of the state boundaries
Map of the state boundaries
This dataset shows data on Hazmat statistics for the year 1994. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat incidents across the United State that were deemed ""serious"" by PHMSA. The definition for serious is; * a fatality or major injury caused by the release of a hazardous material, * the evacuation of 25 or more persons as a result of release of a hazardous material or exposure to fire, * a release or exposure to fire which results in the closure of a major transportation artery, * the alteration of an aircraft flight plan or operation, * the release of radioactive materials from Type B packaging, * the release of over 11.9 gallons or 88.2 pounds of a severe marine pollutant, or * the release of a bulk quantity (over 119 gallons or 882 pounds) of a hazardous material.
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Contains physical information on commercial facilities at the principal U.S. Coastal, Great Lakes and Inland Ports. The data consists of listings of port area's waterfront facilities, including information on berthing, cranes, transit sheds, grain elevators, marine repair plants, fleeting areas, and docking and storage facilities. Collection of data is performed on a rotational basis to ensure on-site accuracy at each facility.
This dataset shows data on Hazmat statistics for the year 1993. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat incidents across the United State that were deemed ""serious"" by PHMSA. The definition for serious is; * a fatality or major injury caused by the release of a hazardous material, * the evacuation of 25 or more persons as a result of release of a hazardous material or exposure to fire, * a release or exposure to fire which results in the closure of a major transportation artery, * the alteration of an aircraft flight plan or operation, * the release of radioactive materials from Type B packaging, * the release of over 11.9 gallons or 88.2 pounds of a severe marine pollutant, or * the release of a bulk quantity (over 119 gallons or 882 pounds) of a hazardous material.
Map of the state boundaries
This dataset shows data on Hazmat statistics for the year 2007. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat incidents across the United States. This includes all incidents that happened in the air, on highways, on water, and on the rails.
This dataset shows data on Hazmat statistics for the year 2006. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat incidents across the United States. This includes all incidents that happened in the air, on highways, on water, and on the rails.
Map of the state boundaries
This dataset shows data on Hazmat statistics for the year 2005. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat incidents across the United States. This includes all incidents that happened in the air, on highways, on water, and on the rails.
This dataset shows data on Hazmat statistics for the year 2004. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat incidents across the United States. This includes all incidents that happened in the air, on highways, on water, and on the rails.
This dataset shows data on Hazmat statistics for the year 2003. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat incidents across the United States. This includes all incidents that happened in the air, on highways, on water, and on the rails.
This dataset shows data on Hazmat statistics for the year 2002. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat incidents across the United States. This includes all incidents that happened in the air, on highways, on water, and on the rails.
This dataset shows data on Hazmat statistics for the year 2001. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat incidents across the United States. This includes all incidents that happened in the air, on highways, on water, and on the rails.
This dataset shows data on Hazmat statistics for the year 2000. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat incidents across the United States. This includes all incidents that happened in the air, on highways, on water, and on the rails.
Table 1. Number of SSI recipients, by state or other area, eligibility category, age, and receipt of OASDI benefits, December 2007 The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. State data on the number of recipients and amount of payments are shown in Tables 1 and 2, respectively. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown in Table 1 and also in Table 3, which presents data at the county level.
Amount of SSI payments, by state, eligibility category, and age, December 2007 (Table 2) The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. State data on the number of recipients and amount of payments are shown in Tables 1 and 2, respectively. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown in Table 1 and also in Table 3, which presents data at the county level.
Mineral resource occurrence data covering the world, most thoroughly within the U.S. This database contains the records previously provided in the Mineral Resource Data System (MRDS) of USGS and the Mineral Availability System/Mineral Industry Locator System (MAS/MILS) originated in the U.S. Bureau of Mines, which is now part of USGS. The MRDS is a large and complex relational database developed over several decades by hundreds of researchers and reporters. This product is a digest in which the fields chosen are those most likely to contain valid information. U.S. Geological Survey, 2005, Mineral Resources Data System: U.S. Geological Survey, Reston, Virginia.
Map of the states within the Country.
Map of the states within the country.
map of the states within the country.
Map of the states within the country
Map of "state"-level administrative boundaries within the country.
This dataset shows data on Hazmat statistics for the year 1999. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat incidents across the United States. This includes all incidents that happened in the air, on highways, on water, and on the rails.
This dataset shows data on Hazmat statistics for the year 1998. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat incidents across the United States. This includes all incidents that happened in the air, on highways, on water, and on the rails.
This dataset shows data on Hazmat statistics for the year 1997. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat incidents across the United States. This includes all incidents that happened in the air, on highways, on water, and on the rails.
This dataset shows data on Hazmat statistics for the year 1996. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat incidents across the United States. This includes all incidents that happened in the air, on highways, on water, and on the rails.
This dataset shows data on Hazmat statistics for the year 1995. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat incidents across the United States. This includes all incidents that happened in the air, on highways, on water, and on the rails.
This dataset shows data on Hazmat statistics for the year 1994. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat incidents across the United States. This includes all incidents that happened in the air, on highways, on water, and on the rails.
This dataset shows data on Hazmat statistics for the year 1993. The data comes from Department of Transportations Office of Hazardous Materials Safety (OHMS), within the Pipeline and Hazardous Materials Safety Administration (PHMSA). The data is broken up by state and gives the number of incidents per state, the number of people hospitalized during the incident, the number of people involved in the incident that were not hospitalized, the number of fatalities that occurred during the incident, and the damages from the incident in dollars ($). This set of data covers all Hazmat incidents across the United States. This includes all incidents that happened in the air, on highways, on water, and on the rails.
This dataset displays the locations of all the public libraries in the state of Alabama. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset displays the locations of all the public libraries in the state of Alaska. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset displays the locations of all the public libraries in the state of Arizona. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset displays the locations of all the public libraries in the state of Arkansas. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset displays the locations of all the public libraries in the state of California. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset displays the locations of all the public libraries in the state of Colorado. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset displays the locations of all the public libraries in the state of Connecticut. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset displays the locations of all the public libraries in Washington D.C.. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset displays the locations of all the public libraries in the state of Delaware. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
The polyshape file shows results of Democratic primary in Utah by county.
This dataset displays the locations of all the public libraries in the state of Georgia. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
Map of Registered Sex Offenders in the United States Data obtained via phone survey of the individual sex offender registries in the 50 states, District of Columbia The total number of registered sex offenders has been compared to census data to determine the number of sex offenders per 100,000 total population in that state Data on each state and territory is the total number of registered sex offenders and the number per 100,000 total population Included in the totals of thirty-eight (38) states or territories are offenders who have been deported, are currently incarcerated, or have moved to another state. The 18 states or territories that do NOT include these types of offenders in their totals are designated by hash marks.
The data shows the votes cast for major Democratic presidential candidates and their share of votes by county.
This dataset displays the locations of all the public libraries in the state of Hawaii5. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
The polyshape file data shows the votes cast for major Democratic presidential candidates by county and also share of votes for selected candidates.
This dataset displays the locations of all the public libraries in the state of Idaho. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset explores what child care providers earn for 2005 and 2006. The BLS defines child care workers as those who attend to children at schools, businesses, private households, and child care institutions and perform a variety of tasks, such as dressing, feeding, bathing, and overseeing play. It is important to note that some family child care providers are excluded in the numbers because they are self-employed and report their income differently. The definition also excludes preschool teachers and teacher assistants. All data obtained from the 2005 and 2006 Occupational Employment Statistics Survey, Bureau of Labor Statistics, U. S. Department of Labor Compiled by the National Association of Child Care Resource and Referral Agencies.
This dataset displays the locations of all the public libraries in the state of Florida. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset displays the locations of all the public libraries in the state of Illinois. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
The polyshape file shows results of Democratic primary in Michigan. Note that Michigan delegates will not be counted because the DNC punished Michigan Democratic Party for holding their primary election early in January and defying National DNC.
This dataset displays the locations of all the public libraries in the state of Indiana. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset displays the locations of all the public libraries in the state of Iowa. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
The polyshape data shows results for Florida Democratic primary by county. The results have not been recognized by DNC because Florida defied DNC and held its primary early in January.
This dataset displays the locations of all the public libraries in the state of Kansas. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This data explores Eighth-grade public school students with disabilities (SD) and English language learners (ELL) identified, excluded, and accommodated in NAEP writing, as a percentage of all students, by state: 2007 Not available. The state/jurisdiction did not participate. # Rounds to zero. NOTE: Students identified as both SD and ELL were counted only once in overall, but were counted separately under the SD and ELL categories. Results are not shown for SD and ELL students assessed without accommodations. SOURCE: U.S. Department of Education, Institute of Education Sciences, National Center for Education Statistics, National Assessment of Educational Progress (NAEP), 2007 Writing Assessment.
This dataset displays the locations of all the public libraries in the state of Kentucky. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset displays the locations of all the public libraries in the state of Louisiana. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
The point shape file shows results of Democratic Primary in New Hampshire by city/town.
This data explores Average scores and achievement-level results in NAEP writing for eighth-grade public school students, by gender and state: 2007. Not available. The state/jurisdiction did not participate. # Rounds to zero. NOTE: Detail may not sum to totals because of rounding. SOURCE: U.S. Department of Education, Institute of Education Sciences, National Center for Education Statistics, National Assessment of Educational Progress (NAEP), 2007 Writing Assessment.
This dataset displays the locations of all the public libraries in the state of Maine. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset displays the locations of all the public libraries in the state of Maryland. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset displays the locations of all the public libraries in the state of Massachusetts. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset displays the locations of all the public libraries in the state of Michigan. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
The polyshape file shows the votes cast for major Democratic presidential candidates by county and also share of votes for selected candidates.
This dataset displays the locations of all the public libraries in the state of Minnesota. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset displays the locations of all the public libraries in the state of Mississippi. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
Map of the "states" within the country.
Map of the "states" within the country.
Map of the "states" within the country.
Map of the "states" within the country.
Map of the "states" within the country.
Map of the "states" within the country.
Map of the "states" within the country.
Map of the "states" within the country.
Map of the "states" within the country.
Map of the "states" within the country.
Map of the "states" within the country.
Map of the "states" within the country.
Map of the "states" within the country.
Map of the "states" within the country.
This dataset displays the locations of all the public libraries in the state of Missouri. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset displays the locations of all the public libraries in the state of Montana. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
The polyshape file shows results of Pennsylvania Democratic primary results by county
This dataset displays the locations of all the public libraries in the state of Nebraska. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset displays the locations of all the public libraries in the state of Nevada. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
The polyshape file shows results of Democratic primary results by candidate and by the number of delegates allocated to each candidate for selected states.
Alabama (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level.
This dataset displays the locations of all the public libraries in the state of New Hampshire. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset displays the locations of all the public libraries in the state of New Jersey. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset displays the locations of all the public libraries in the state of New Mexico. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset displays the locations of all the public libraries in the state of New York. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset displays the locations of all the public libraries in the state of North Carolina. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset displays the locations of all the public libraries in the state of North Dakota. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset displays the locations of all the public libraries in the state of Ohio. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset displays the locations of all the public libraries in the state of Oklahoma. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
The polyshape file shows results of Indiana Democratic primary and number f pledged delegates allocated to Obama and Clinton by congressional districts.
This dataset displays the locations of all the public libraries in the state of Oregon. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset displays the locations of all the public libraries in the state of Pennsylvania. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
The polyshape file shows the results of North Carolina Democratic primary by congressional districts along with the number of pledged delegates allocated to Clinton and Obama.
This dataset displays the locations of all the public libraries in the state of Rhode Island. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset displays the locations of all the public libraries in the state of South Carolina. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This data explores Percentage of eighth-grade public school students and average scores in NAEP writing for selected student groups by State for 2007. This data breaks down average writing scores based on students need for aid as measured by eligibility for free and reduced price lunches and by gender. Not available. The state/jurisdiction did not participate # Rounds to zero. Reporting standards not met. Sample size is insufficient to permit a reliable estimate. NOTE: Black includes African American, Hispanic includes Latino, and Pacifi c Islander includes Native Hawaiian. Race categories exclude Hispanic origin. Results are not shown for students whose race/ethnicity was unclassified and for students whose eligibility for free/reduced-price school lunch was not available. Detail may not sum to totals because of rounding. SOURCE: U.S. Department of Education, Institute of Education Sciences, National Center for Education Statistics, National Assessment of Educational Progress (NAEP), 2007 Writing Assessment.
This dataset displays the locations of all the public libraries in the state of South Dakota. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset displays the locations of all the public libraries in the state of Tennessee. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset explores Percentage of eighth-grade public school students and average scores in NAEP writing by race and state, USA, 2007 Notes: Not available. The state/jurisdiction did not participate. # Rounds to zero. Reporting standards not met. Sample size is insufficient to permit a reliable estimate. NOTE: Black includes African American, Hispanic includes Latino, and Pacifi c Islander includes Native Hawaiian. Race categories exclude Hispanic origin. Results are not shown for students whose race/ethnicity was unclassified Detail may not sum to totals because of rounding. SOURCE: U.S. Department of Education, Institute of Education Sciences, National Center for Education Statistics, National Assessment of Educational Progress (NAEP), 2007 Writing Assessment.
This dataset displays the locations of all the public libraries in the state of Texas. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
"Alaska (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
This dataset displays the locations of all the public libraries in the state of Utah. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset displays the locations of all the public libraries in the state of Vermont. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset displays the locations of all the public libraries in the state of Virginia. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset displays the locations of all the public libraries in the state of Washington. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset displays the locations of all the public libraries in the state of West Virginia. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset displays the locations of all the public libraries in the state of Wisconsin. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
This dataset displays the locations of all the public libraries in the state of Wyoming. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.
"Arkansas (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
This data explores Access to early childhood programs, by state: 2002 * In 2001, all preschool efforts in Florida were consolidated into a block grant administered by the Agency for Workforce Innovation. Funding is distributed to county-level early-childhood coalitions that make decisions on distribution. It is unclear yet how the new configuration will affect pre-K programs in the state. All data presented here are from before the consolidation. * In Alabama, pilot program is targeted based on need. However, any 4-year-old in pilot communities is eligible. In Minnesota, all 4-year-olds are eligible, but priority for services is given to children from low-income families that exceed Head Start income guidelines. * Risk factors are locally determined. In Nevada and West Virginia, all eligibility requirements for pre-K are locally determined. * Enrollment count for New Jersey is for Abbott districts only. In New Jersey, full-day kindergarten is mandated for 132 high-poverty districts. * Ohio serves an additional 18,705 children in its state-financed Head Start program. * Because pre-K funding is in the form of block grants and subject to district discretion, enrollment figures cannot be determined. NOTE: ES: Elementary School; MS: Middle School; HS: High School. SOURCE: Education Week, Quality Counts 2002, table Access to Early Childhood Programs. Data Source.
"Arizona (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"California (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"Colorado (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"Connecticut (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"Florida (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"Georgia (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"Hawaii (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"Alabama (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"Illinois (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"Indiana (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"Iowa (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"Kansas (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"Kentucky (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"Louisiana (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"Maine (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"Maryland(table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"Massachusetts (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"Michigan (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"Minnesota (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"Mississippi (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"Missouri (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"Montana (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"Delaware (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
The shape file shows the results of Democratic primary by congressional districts. It includes number of pledged delegates, votes and percent share for the major candidates.
The shape file is an update to an earlier file. It shows the results of Democratic primaries and caucus for the two major candidates (Obama and Hillary) by congressional districts, the number of votes cast, the total number of pledged delegates, share of pledged delegates for each candidates, share of votes etc. Please note that Washington has only delegate counts, the vote and share of votes are missing. Also, Texas results are by Texas Senatorial district boundaries and not by Congressional districts. Also New Jersey data is missing. Much of the data is compiled from each states' Secretary of State's office which usually handles that states election process.
The shape file shows TV ratings by Lower 48 Designated Market Areas (DMA) for 2007-2008. It also has estimates of number of household Television sets as well as the percent of TV viewership by DMA. Also known as Nielsen Ratings, the data is used heavily for advertising and marketing sectors.
The shape file shows Hispanic TV ratings by Lower 48 Designated Market Areas (DMA) for 2007-2008. It also has estimates of number of Hispanic household Television sets as well as the percent of Hispanic TV viewership by DMA. Also known as Nielsen Ratings, the data is used heavily by advertising and marketing sectors.
The shape file shows TV ratings by Lower 48 Designated Market Areas (DMA) , also known as TV markets for 2007-2008. It also has estimates of number of household Television sets as well as the percent of TV viewership by DMA. Also known as Nielsen Ratings, the data is used heavily for advertising and marketing sectors.
The shape file shows TV ratings by Lower 48 Designated Market Areas (DMA) for 2007-2008. It also has estimates of number of household Television sets as well as the percent of TV viewership by DMA. Also known as Nielsen Ratings, the data is used heavily for advertising and marketing sectors.
This dataset shows the locations of the 50 companies that had the largest number of employees among the Fortune Global 500. The dataset also shows the company's revenue rank for 2007 The list comes from cnnmoney.com whose Fortune section does analysis on the top corporations throughout the world
This dataset shows the locations of the largest corporations in the world by the city where their headquarters is located. The rankings are based on the amount of total revenue that the corporation earned during the year 2005. These 500 corporations are known as being a part of the Fortune 500 group which is an annual poll of the top corporations in the world. The poll is conducted by cnnmoney.com.
This dataset shows the locations of the largest corporations in the world by the city where their headquarters is located. The rankings are based on the amount of total revenue that the corporation earned during the year 2006. These 500 corporations are known as being a part of the Fortune 500 group which is an annual poll of the top corporations in the world. The poll is conducted by cnnmoney.com.
This dataset shows the locations of the largest corporations in the world by the city where their headquarters is located. The rankings are based on the amount of total revenue that the corporation earned during the year 2007. These 500 corporations are known as being a part of the Fortune 500 group which is an annual poll of the top corporations in the world. The poll is conducted by cnnmoney.com.
The polyshape file consists of Disposable income by TV Markets in 2007. The data for the 206 TV markets in the U.S. also includes ranking by disposable income and the ratio of Disposable income in a TV market with the U.S. Average (basis 100).
This dataset shows the locations of the 100 companies that had the greatest revenue increase from 2005 to 2006 that are among the Fortune Global 500 for 2006. The list comes from cnnmoney.com whose Fortune section does analysis on the top corporations throughout the world
This dataset displays the inmate populations for all the Federal Prisons throughout the United States on 5.8.08. This weekly Population Report can be found on the Bureau of Prisons website at bop.gov. These facilities are positioned by their lat/lon. This dataset is updated on a weekly basis.
This coverage represents year MODIS fire detections for the 7 day period specified for the geographic area covering the conterminous United States, Alaska, Hawaii, Canada and northern Mexico. The detections are obtained using both TERRA MODIS and AQUA MODIS data are collected and processed as a cooperative effort between the USDA Forest Service Remote Sensing Application Center, NASA-Goddard Space Flight Center and the University of Maryland. These fire detection data are collected for the USDA Forest Service MODIS Active Fire Mapping Program (http://activefiremaps.fs.fed.us). These data are intended to provide a synoptic view of active fires for the past and present over the specified time period. These data are collected at a spatial resolution of 1 kilometer and therefore are only intended for geographic display and analysis at the national and regional levels. No responsibility is assumed by the USDA Forest Service in the use of these data.
This datasets displays the locations of all recorded earthquakes of a magnitude of 1 or greater around the world from the period of 5.5.08 to 5.12.08. The findings are from the US Geological Survey (USGS). Earthquake information is extracted from a merged catalog of earthquakes located by the USGS and contributing networks. Earthquakes will be broadcast within a few minutes for California events, and within 30-minutes for world-wide events.
"Nevada (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"New Hampshire (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"New Jersey (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"New Mexico (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"New York (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"North Carolina (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"North Dakota (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"Ohio (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"Oklahoma (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"Oregon (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"Nebraska (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
Map of the "states" within the country.
Map of the "states" within the country.
Map of the "states" within the country.
Map of the "states" within the country.
Map of the "states" within the country.
Map of the "states" within the country.
Map of the "states" within the country.
Map of the "states" within the country.
Map of the "states" within the country.
Map of the "states" within the country.
Map of the "states" within the country.
Map of the "states" within the country.
Map of the "states" within the country.
Map of the "states" within the country.
Map of the "states" within the country.
Map of the "states" within the country.
Map of the "states" within the country.
Map of the "states" within the country.
This dataset explores 2007 State Revenues per Capita and Percentage of Personal Income relinquished in taxes by state for the year 2007. Source: U.S. Bureau of the Census and Bureau of Economic Analysis.
This data explores 2007 State Tax Collection by Source by State for the USA. Sources include property, sales, selective sales, individual income and corporate income. Source: U.S. Bureau of the Census. --- tax not levied at state level.
The data includes the location and related attributes for all public-use airports in the U.S. for 2007. More specifically, from the NTAD website: "Abstract: The Airports database is a geographic point database of aircraft landing facilities in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the landing facility, current usage including enplanements and aircraft operations, congestion levels and usage categories. There are 20491 airport landing facilities in this dataset. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product (Effective 18 Jaunary 2007)."
"Pennsylvania (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"Rhode Island (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"South Carolina (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"South Dakota (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"Tennessee (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"Texas (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"Utah (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"Vermont (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"Virginia (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"Washington (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"Wisconsin(table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
"Wyoming (table 3) - Number of SSI recipients in state (by eligibility category, age, and receipt of OASDI benefits) and amount of payments, by county, December 2007 Data not shown to avoid disclosure of information for particular individuals was filled with -1 County data on Supplemental Security Income (SSI) are a measure of the local impact of the program. This report is a resource for Social Security Administration (SSA) staff in formulating policy and for local service providers and economic planners. The SSI program is a cash assistance program that provides monthly benefits to low-income aged, blind, or disabled persons in the 50 states, the District of Columbia, and the Northern Mariana Islands. The states and other jurisdictions have the option of supplementing their residents' SSI payments and may choose to have the additional payments administered by the federal government. When a state chooses federal administration, SSA maintains the payment records and issues the federal payment and the state supplement in one check. The data presented in this document are for federal and federally administered state payments only. State-administered supplementation payments are not included. The tables present SSI data by eligibility category (aged, blind, and disabled) and age. SSI recipients who also receive Social Security (Old-Age, Survivors, and Disability Insurance) benefits are shown also in Table 3, which presents data at the county level."
This datasets displays the summary of the Geographic Spread of Influenza throughout the United States for the week ending on 1.5.2008. Each state is given a flu Status that is dependent on the spread of influenza throughout the state for the particular week. There are five levels of status that a state can obtain. They are: * No Activity: No laboratory-confirmed cases of influenza and no reported increase in the number of cases of ILI. * Sporadic: Small numbers of laboratory-confirmed influenza cases or a single laboratory-confirmed influenza outbreak has been reported, but there is no increase in cases of ILI. * Local: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in a single region of the state. * Regional: Outbreaks of influenza or increases in ILI and recent laboratory confirmed influenza in at least 2 but less than half the regions of the state. * Widespread: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in at least half the regions of the state. The information comes from the Centers for Disease Control and Prevention (CDC) To see more information about how this status is determined see http://www.cdc.gov/flu/weekly/fluactivity.htm for a full explanation of their system.
This datasets displays the summary of the Geographic Spread of Influenza throughout the United States for the week ending on 1.12.2008. Each state is given a flu Status that is dependent on the spread of influenza throughout the state for the particular week. There are five levels of status that a state can obtain. They are: * No Activity: No laboratory-confirmed cases of influenza and no reported increase in the number of cases of ILI. * Sporadic: Small numbers of laboratory-confirmed influenza cases or a single laboratory-confirmed influenza outbreak has been reported, but there is no increase in cases of ILI. * Local: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in a single region of the state. * Regional: Outbreaks of influenza or increases in ILI and recent laboratory confirmed influenza in at least 2 but less than half the regions of the state. * Widespread: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in at least half the regions of the state. The information comes from the Centers for Disease Control and Prevention (CDC) To see more information about how this status is determined see http://www.cdc.gov/flu/weekly/fluactivity.htm for a full explanation of their system.
This datasets displays the summary of the Geographic Spread of Influenza throughout the United States for the week ending on 1.19.2008. Each state is given a flu Status that is dependent on the spread of influenza throughout the state for the particular week. There are five levels of status that a state can obtain. They are: * No Activity: No laboratory-confirmed cases of influenza and no reported increase in the number of cases of ILI. * Sporadic: Small numbers of laboratory-confirmed influenza cases or a single laboratory-confirmed influenza outbreak has been reported, but there is no increase in cases of ILI. * Local: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in a single region of the state. * Regional: Outbreaks of influenza or increases in ILI and recent laboratory confirmed influenza in at least 2 but less than half the regions of the state. * Widespread: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in at least half the regions of the state. The information comes from the Centers for Disease Control and Prevention (CDC) To see more information about how this status is determined see http://www.cdc.gov/flu/weekly/fluactivity.htm for a full explanation of their system.
This datasets displays the summary of the Geographic Spread of Influenza throughout the United States for the week ending on 1.26.2008. Each state is given a flu Status that is dependent on the spread of influenza throughout the state for the particular week. There are five levels of status that a state can obtain. They are: * No Activity: No laboratory-confirmed cases of influenza and no reported increase in the number of cases of ILI. * Sporadic: Small numbers of laboratory-confirmed influenza cases or a single laboratory-confirmed influenza outbreak has been reported, but there is no increase in cases of ILI. * Local: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in a single region of the state. * Regional: Outbreaks of influenza or increases in ILI and recent laboratory confirmed influenza in at least 2 but less than half the regions of the state. * Widespread: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in at least half the regions of the state. The information comes from the Centers for Disease Control and Prevention (CDC) To see more information about how this status is determined see http://www.cdc.gov/flu/weekly/fluactivity.htm for a full explanation of their system.
This datasets displays the summary of the Geographic Spread of Influenza throughout the United States for the week ending on 2.2.2008. Each state is given a flu Status that is dependent on the spread of influenza throughout the state for the particular week. There are five levels of status that a state can obtain. They are: * No Activity: No laboratory-confirmed cases of influenza and no reported increase in the number of cases of ILI. * Sporadic: Small numbers of laboratory-confirmed influenza cases or a single laboratory-confirmed influenza outbreak has been reported, but there is no increase in cases of ILI. * Local: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in a single region of the state. * Regional: Outbreaks of influenza or increases in ILI and recent laboratory confirmed influenza in at least 2 but less than half the regions of the state. * Widespread: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in at least half the regions of the state. The information comes from the Centers for Disease Control and Prevention (CDC) To see more information about how this status is determined see http://www.cdc.gov/flu/weekly/fluactivity.htm for a full explanation of their system.
This datasets displays the summary of the Geographic Spread of Influenza throughout the United States for the week ending on 2.9.2008. Each state is given a flu Status that is dependent on the spread of influenza throughout the state for the particular week. There are five levels of status that a state can obtain. They are: * No Activity: No laboratory-confirmed cases of influenza and no reported increase in the number of cases of ILI. * Sporadic: Small numbers of laboratory-confirmed influenza cases or a single laboratory-confirmed influenza outbreak has been reported, but there is no increase in cases of ILI. * Local: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in a single region of the state. * Regional: Outbreaks of influenza or increases in ILI and recent laboratory confirmed influenza in at least 2 but less than half the regions of the state. * Widespread: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in at least half the regions of the state. The information comes from the Centers for Disease Control and Prevention (CDC) To see more information about how this status is determined see http://www.cdc.gov/flu/weekly/fluactivity.htm for a full explanation of their system.
This datasets displays the summary of the Geographic Spread of Influenza throughout the United States for the week ending on 2.16.2008. Each state is given a flu Status that is dependent on the spread of influenza throughout the state for the particular week. There are five levels of status that a state can obtain. They are: * No Activity: No laboratory-confirmed cases of influenza and no reported increase in the number of cases of ILI. * Sporadic: Small numbers of laboratory-confirmed influenza cases or a single laboratory-confirmed influenza outbreak has been reported, but there is no increase in cases of ILI. * Local: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in a single region of the state. * Regional: Outbreaks of influenza or increases in ILI and recent laboratory confirmed influenza in at least 2 but less than half the regions of the state. * Widespread: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in at least half the regions of the state. The information comes from the Centers for Disease Control and Prevention (CDC) To see more information about how this status is determined see http://www.cdc.gov/flu/weekly/fluactivity.htm for a full explanation of their system.
This datasets displays the summary of the Geographic Spread of Influenza throughout the United States for the week ending on 2.23.2008. Each state is given a flu Status that is dependent on the spread of influenza throughout the state for the particular week. There are five levels of status that a state can obtain. They are: * No Activity: No laboratory-confirmed cases of influenza and no reported increase in the number of cases of ILI. * Sporadic: Small numbers of laboratory-confirmed influenza cases or a single laboratory-confirmed influenza outbreak has been reported, but there is no increase in cases of ILI. * Local: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in a single region of the state. * Regional: Outbreaks of influenza or increases in ILI and recent laboratory confirmed influenza in at least 2 but less than half the regions of the state. * Widespread: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in at least half the regions of the state. The information comes from the Centers for Disease Control and Prevention (CDC) To see more information about how this status is determined see http://www.cdc.gov/flu/weekly/fluactivity.htm for a full explanation of their system.
This datasets displays the summary of the Geographic Spread of Influenza throughout the United States for the week ending on 3.1.2008. Each state is given a flu Status that is dependent on the spread of influenza throughout the state for the particular week. There are five levels of status that a state can obtain. They are: * No Activity: No laboratory-confirmed cases of influenza and no reported increase in the number of cases of ILI. * Sporadic: Small numbers of laboratory-confirmed influenza cases or a single laboratory-confirmed influenza outbreak has been reported, but there is no increase in cases of ILI. * Local: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in a single region of the state. * Regional: Outbreaks of influenza or increases in ILI and recent laboratory confirmed influenza in at least 2 but less than half the regions of the state. * Widespread: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in at least half the regions of the state. The information comes from the Centers for Disease Control and Prevention (CDC) To see more information about how this status is determined see http://www.cdc.gov/flu/weekly/fluactivity.htm for a full explanation of their system.
Neighborhood boundaries for large cities in Alabama. Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
This datasets displays the summary of the Geographic Spread of Influenza throughout the United States for the week ending on 3.8.2008. Each state is given a flu Status that is dependent on the spread of influenza throughout the state for the particular week. There are five levels of status that a state can obtain. They are: * No Activity: No laboratory-confirmed cases of influenza and no reported increase in the number of cases of ILI. * Sporadic: Small numbers of laboratory-confirmed influenza cases or a single laboratory-confirmed influenza outbreak has been reported, but there is no increase in cases of ILI. * Local: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in a single region of the state. * Regional: Outbreaks of influenza or increases in ILI and recent laboratory confirmed influenza in at least 2 but less than half the regions of the state. * Widespread: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in at least half the regions of the state. The information comes from the Centers for Disease Control and Prevention (CDC) To see more information about how this status is determined see http://www.cdc.gov/flu/weekly/fluactivity.htm for a full explanation of their system.
This datasets displays the summary of the Geographic Spread of Influenza throughout the United States for the week ending on 3.15.2008. Each state is given a flu Status that is dependent on the spread of influenza throughout the state for the particular week. There are five levels of status that a state can obtain. They are: * No Activity: No laboratory-confirmed cases of influenza and no reported increase in the number of cases of ILI. * Sporadic: Small numbers of laboratory-confirmed influenza cases or a single laboratory-confirmed influenza outbreak has been reported, but there is no increase in cases of ILI. * Local: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in a single region of the state. * Regional: Outbreaks of influenza or increases in ILI and recent laboratory confirmed influenza in at least 2 but less than half the regions of the state. * Widespread: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in at least half the regions of the state. The information comes from the Centers for Disease Control and Prevention (CDC) To see more information about how this status is determined see http://www.cdc.gov/flu/weekly/fluactivity.htm for a full explanation of their system.
purpose: Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods. Neighborhood boundaries for large cities in Alabama. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
Purpose: Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Abstract: Neighborhood boundaries for large cities in Alabama. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
This datasets displays the summary of the Geographic Spread of Influenza throughout the United States for the week ending on 3.22.2008. Each state is given a flu Status that is dependent on the spread of influenza throughout the state for the particular week. There are five levels of status that a state can obtain. They are: * No Activity: No laboratory-confirmed cases of influenza and no reported increase in the number of cases of ILI. * Sporadic: Small numbers of laboratory-confirmed influenza cases or a single laboratory-confirmed influenza outbreak has been reported, but there is no increase in cases of ILI. * Local: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in a single region of the state. * Regional: Outbreaks of influenza or increases in ILI and recent laboratory confirmed influenza in at least 2 but less than half the regions of the state. * Widespread: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in at least half the regions of the state. The information comes from the Centers for Disease Control and Prevention (CDC) To see more information about how this status is determined see http://www.cdc.gov/flu/weekly/fluactivity.htm for a full explanation of their system.
This datasets displays the summary of the Geographic Spread of Influenza throughout the United States for the week ending on 3.29.2008. Each state is given a flu Status that is dependent on the spread of influenza throughout the state for the particular week. There are five levels of status that a state can obtain. They are: * No Activity: No laboratory-confirmed cases of influenza and no reported increase in the number of cases of ILI. * Sporadic: Small numbers of laboratory-confirmed influenza cases or a single laboratory-confirmed influenza outbreak has been reported, but there is no increase in cases of ILI. * Local: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in a single region of the state. * Regional: Outbreaks of influenza or increases in ILI and recent laboratory confirmed influenza in at least 2 but less than half the regions of the state. * Widespread: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in at least half the regions of the state. The information comes from the Centers for Disease Control and Prevention (CDC) To see more information about how this status is determined see http://www.cdc.gov/flu/weekly/fluactivity.htm for a full explanation of their system.
This datasets displays the summary of the Geographic Spread of Influenza throughout the United States for the week ending on 4.5.2008. Each state is given a flu Status that is dependent on the spread of influenza throughout the state for the particular week. There are five levels of status that a state can obtain. They are: * No Activity: No laboratory-confirmed cases of influenza and no reported increase in the number of cases of ILI. * Sporadic: Small numbers of laboratory-confirmed influenza cases or a single laboratory-confirmed influenza outbreak has been reported, but there is no increase in cases of ILI. * Local: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in a single region of the state. * Regional: Outbreaks of influenza or increases in ILI and recent laboratory confirmed influenza in at least 2 but less than half the regions of the state. * Widespread: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in at least half the regions of the state. The information comes from the Centers for Disease Control and Prevention (CDC) To see more information about how this status is determined see http://www.cdc.gov/flu/weekly/fluactivity.htm for a full explanation of their system.
This datasets displays the summary of the Geographic Spread of Influenza throughout the United States for the week ending on 4.12.2008. Each state is given a flu Status that is dependent on the spread of influenza throughout the state for the particular week. There are five levels of status that a state can obtain. They are: * No Activity: No laboratory-confirmed cases of influenza and no reported increase in the number of cases of ILI. * Sporadic: Small numbers of laboratory-confirmed influenza cases or a single laboratory-confirmed influenza outbreak has been reported, but there is no increase in cases of ILI. * Local: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in a single region of the state. * Regional: Outbreaks of influenza or increases in ILI and recent laboratory confirmed influenza in at least 2 but less than half the regions of the state. * Widespread: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in at least half the regions of the state. The information comes from the Centers for Disease Control and Prevention (CDC) To see more information about how this status is determined see http://www.cdc.gov/flu/weekly/fluactivity.htm for a full explanation of their system.
This datasets displays the summary of the Geographic Spread of Influenza throughout the United States for the week ending on 4.19.2008. Each state is given a flu Status that is dependent on the spread of influenza throughout the state for the particular week. There are five levels of status that a state can obtain. They are: * No Activity: No laboratory-confirmed cases of influenza and no reported increase in the number of cases of ILI. * Sporadic: Small numbers of laboratory-confirmed influenza cases or a single laboratory-confirmed influenza outbreak has been reported, but there is no increase in cases of ILI. * Local: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in a single region of the state. * Regional: Outbreaks of influenza or increases in ILI and recent laboratory confirmed influenza in at least 2 but less than half the regions of the state. * Widespread: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in at least half the regions of the state. The information comes from the Centers for Disease Control and Prevention (CDC) To see more information about how this status is determined see http://www.cdc.gov/flu/weekly/fluactivity.htm for a full explanation of their system.
purpose: Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Alabama. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
This datasets displays the summary of the Geographic Spread of Influenza throughout the United States for the week ending on 4.26.2008. Each state is given a flu Status that is dependent on the spread of influenza throughout the state for the particular week. There are five levels of status that a state can obtain. They are: * No Activity: No laboratory-confirmed cases of influenza and no reported increase in the number of cases of ILI. * Sporadic: Small numbers of laboratory-confirmed influenza cases or a single laboratory-confirmed influenza outbreak has been reported, but there is no increase in cases of ILI. * Local: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in a single region of the state. * Regional: Outbreaks of influenza or increases in ILI and recent laboratory confirmed influenza in at least 2 but less than half the regions of the state. * Widespread: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in at least half the regions of the state. The information comes from the Centers for Disease Control and Prevention (CDC) To see more information about how this status is determined see http://www.cdc.gov/flu/weekly/fluactivity.htm for a full explanation of their system.
This datasets displays the summary of the Geographic Spread of Influenza throughout the United States for the week ending on 5.3.2008. Each state is given a flu Status that is dependent on the spread of influenza throughout the state for the particular week. There are five levels of status that a state can obtain. They are: * No Activity: No laboratory-confirmed cases of influenza and no reported increase in the number of cases of ILI. * Sporadic: Small numbers of laboratory-confirmed influenza cases or a single laboratory-confirmed influenza outbreak has been reported, but there is no increase in cases of ILI. * Local: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in a single region of the state. * Regional: Outbreaks of influenza or increases in ILI and recent laboratory confirmed influenza in at least 2 but less than half the regions of the state. * Widespread: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in at least half the regions of the state. The information comes from the Centers for Disease Control and Prevention (CDC) To see more information about how this status is determined see http://www.cdc.gov/flu/weekly/fluactivity.htm for a full explanation of their system.
Purpose: Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Alabama. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
purpose: Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Alabama. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
purpose: Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Alabama. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
Purpose: Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods. Neighborhood boundaries for large cities in Alabama. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
purpose:Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods. Neighborhood boundaries for large cities in Alabama. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
purpose: Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Alabama. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
purpose: Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Alabama. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
purpose: Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Alabama. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
Purpose: Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Alabama. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
Purpose: Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Alabama. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
purpose: Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Alabama. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
Purpose: Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Alabama. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
Purpose: Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Louisiana. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
purpose: Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Louisiana. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
Purpose: Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Louisiana. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
Purpose:Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Louisiana. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
purpose: Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Louisiana. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
purpose: Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Louisiana. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
Purpose: Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Louisiana. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
This dataset explores the U.S.Census data on State Government Tax Collections (STC) for the year 2007, by state and type of tax. The State Government Tax Collections (STC) report lists the various taxes collected by each state. The tables and data files show the tax revenues collected on a state by state basis.
Purpose: Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Louisiana. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
purpose: Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Louisiana. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
Purpose: Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Louisiana. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
This dataset displays all the hazardous waste sites in the United States and it's Territories as of 5.08. The data comes from the Agency for Toxic Substances and Disease Registry(ATSDR). The dataset contains information about the site: Site ID Site Name CERCLIS # Address City State County Latitude Longitude Population Region # Congressional Districts Federal Facility National Priorities List Status Ownership Status Classification For more information go to the Agency for Toxic Substances and Disease Registry(ATSDR)website at http://www.atsdr.cdc.gov
purpose: Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Louisiana. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
This data explores the state death tax revenue by year, collected by each state. The years 2001-2005 are accounted for here. Souce: U.S. Bureau of The Census, Government Tax Collections.
This dataset provides point data for all NCAA Division 1 college men's basketball schools, as of 2008.
This dataset lists point data for all schools involved with NCAA division I women's college basketball.
This dataset explores NCAA men's division two basketball by placing a point at every school that participates, as of 2008. Source: NCAA website
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries GADM, First Level Administrative Boundaries, british_virgin_islands, 2008
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
Map of the state boundaries
purpose:Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Louisiana. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
Purpose: Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Louisiana. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
Purpose: Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Louisiana. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
This dataset includes Table 13, Table 15, Table 19, Table 21. of the Maryland Vital Statistics Annual Report 2005 which include births by live order, births to unmarried women, births to women receiving first trimester prenatal care, and births to women receiving late or no prenatal care, all for 2005 by race and county. Rates that are based on fewer than five events in the numerator are not presented and are represented here as -1. Baltimore County and Baltimore City have been combined.
Purpose: Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Louisiana. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
Purpose:Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Louisiana. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
Purpose: Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Louisiana. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
Purpose: Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Louisiana. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
This data shows where there are interconnections between public transportation modes at aiports, ferry, and intercity rail and bus stations in the United States. More specifically, according to the Bureau of Transportation Statistics: "The Intermodal Passenger Connectivity Database is a nationwide data table of passenger transportation terminals, with data on the availability of connections among the various scheduled public transportation modes at each facility. In addition to geographic data for each terminal, the data elements describe the availability of rail, air, bus, transit, and ferry services. This data has been collected from various public sources to provide the only nationwide measurement of the degree of connectivity available in the national passenger transportation system. At this point, data has been collected for intercity rail stations and airline airports only. Data on terminals of other modes is being collected and will be released when it is available. It is anticipated that the entire database will be complete by December 31, 2008."
Incoming border crossing/entry data 2006 for vehicles, containers, passengers and pedestrians. The data represents activity at the port level on the U.S.-Canadian and U.S.-Mexican land border and international ferry crossings. The data is provided to BTS by the U.S. Department of Homeland Security - Customs and Border Protection Missing and/or Null values were filled with -1
Purpose: Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Louisiana. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Louisiana. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
Purpose: Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Louisiana. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
Purpose: Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Louisiana. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
Purpose: Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Louisiana. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
Displaying neighborhoods. Organizing and aggregating geographic and point level data based on neighborhoods Neighborhood boundaries for large cities in Louisiana. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. You are free to Share - to copy, distribute and transmit the work. You are free to adapt the work. You must attribute the work in the manner specified by the author or licensor. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same, similar or a compatible license.
This data explores NCAA division II women's basketball programs in the United States as of 2008. Each school is evident by point data according to their latitude and longitude coordinates.
This dataset includes Table 13, Table 15, Table 19, Table 21. of the Maryland Vital Statistics Annual Report 2005 which include births by live order, births to unmarried women, births to women receiving first trimester prenatal care, and births to women receiving late or no prenatal care, all for 2005 by race and county. Rates that are based on fewer than five events in the numerator are not presented and are represented here as -1. Baltimore County and Baltimore City have been combined.
This data explores division III men's basketball through the NCAA. Each NCAA D3 men's basketball program is noted by a point, based on the latitude and longitude of the school. This data was complied through the NCAA website and is current as of March 2008.
This data explores women's NCAA division III basketball. Each school participating in NCAA D3 women's basketball has been marked with a point at their latitude and longitude coordinates. This data was compiled from the NCAA website and is current as of March 2008.
This dataset shows all NCAA men's basketball programs as of March 2008. This data was compiled from the NCAA website.
This data shows every NCAA women's basketball program as of March 2008. This data was compiled from the NCAA website.
This dataset includes Table 9Aand 9B. of the Maryland Vital Statistics Annual Report 2005 which includes the number of births and the birth rate for 2005 by race and Hispanic origin and by county. Rate are per 1,000 population. Rates that are based on fewer than five events in the numerator are not presented and are represented here as -1.
The hydro polygon/arc coverages were created using TIGER/LINE 2000 shapefile data gathered from ESRI's Geography Network. The individual county hydrography line shapefiles were processed into Arc/Info coverages and then appended together to create complete state coverages. They were then edited to remove unwanted features, leaving a state-by-state database of both important and navigable water features. Attributes were added to denote navigable features and names. Also, an attribute was added to the polygons to denote which were water and which were land features. The state databases were then appended together to create a single, nationwide hydrography network containing named arcs and polygons. These features also contain a state FIPS. Because some of the hydro features are represented by lines instead of polygons, the complete hydro dataset consists of 2 shapefiles, one for lines and one for polygons. They must be used together to paint a complete picture.
1st Quarter 2008 (preliminary) State Existing-Home Sales, (Seasonally Adjusted Annual Rate, 000s). NAR releases statistics on state-by-state existing-home sales each Quarter. The state existing-home sales report includes single-family houses, condos and co-ops. Null or missing data was changed to -1 except in the "Percent change" field where it was replaced with -99
NAR releases statistics on metropolitan area median home prices each quarter. The price report reflects sales prices of existing condo and co-op prices by metro market. MSAs are as defined by the U.S. Office of Management and Budget and include the specified city or cities and surrounding suburban areas. Separate file was uploaded for Single Family Homes - 1Q 2008 Null or Missing data was replaced with -1 except in the "Percent Change" field where it was replaced with -99
This dataset includes Table 11 of the Maryland Vital Statistics Annual Report 2005 which includes GENERAL FERTILITY RATES (Total births per 1,000 women ages 15-44.) AND BIRTH RATES (Live births per 1,000 women in specified age group.) BY AGE OF MOTHER, RACE OF MOTHER, REGION, AND POLITICAL SUBDIVISION, MARYLAND, 2005. Rates that are based on fewer than five events in the numerator are not presented and are represented here as -1. Numbers and rates for Baltimore city and Baltimore county are combined.
NAR releases statistics on metropolitan area median home prices each quarter. The price report reflects sales prices of existing Single Family Home prices by metro market. MSAs are as defined by the U.S. Office of Management and Budget and include the specified city or cities and surrounding suburban areas. Separate file was uploaded for Condos/Co-Ops - 1Q 2008 Null or Missing data was replaced with -1 except in the "Percent Change" field where it was replaced with -99
The National Waterway Network is a comprehensive network database of the nation's navigable waterways. The data set covers the 48 contiguous states plus the District of Columbia, Hawaii, Alaska, Puerto Rico and water links between. The nominal scale of the dataset varies with the source material. The majority of the information is at 1:100,000 with larger scales used in harbor/bay/port areas and smaller scales used in open waters. Purpose: The National Waterway Network is a geographic database of navigable waterways in and around the United States, for analytical studies of waterway performance, for compiling commodity flow statistics, and for mapping purposes.
Map of the state boundaries for the United States
This dataset provides many demographic and social figures on topics such as health, education and family life for 2000. The data was accessed form the website for the National Institute of Statistics for Venezuela. The data are available yearly for the Federal Entities (states) of Venezuela. -1 is used for no value available.
Map of the "state" borders
Map of the "state" borders.
Map of the borders of provinces
This dataset provides many demographic and social figures on topics such as health, education and family life for 2001. The data was accessed form the website for the National Institute of Statistics for Venezuela. The data are available yearly for the Federal Entities (states) of Venezuela. Values of -1 represent no value.
This dataset provides many demographic and social figures on topics such as health, education and family life for 2002. The data was accessed form the website for the National Institute of Statistics for Venezuela. The data are available yearly for the Federal Entities (states) of Venezuela. Values of -1 represent no value
This data reports per capita personal income and changes in income for 362 metropolitan areas in the U.S. for the years 2000 through 2005.
Map of the "state" borders
Map of the "state" borders
Map of the "state" borders
Map of the "state" borders
Map of the "state" borders
Map of the "state" borders
Map of the "state" borders
Map of the "state" borders
Map of the "state" borders
Map of the "state" borders
Map of the "state" borders
Map of the "state" borders
Map of the "state" borders
Map of the "state" borders
Map of the "state" borders
Map of the "state" borders
Map of the "state" borders
This dataset provides many demographic and social figures on topics such as health, education and family life for 2003. The data was accessed form the website for the National Institute of Statistics for Venezuela. The data are available yearly for the Federal Entities (states) of Venezuela. Values of -1 represent no value
Map of the "state" borders
Map of the "state" borders
Map of the "state" borders
Map of the "state" borders
Map of the "state" borders
The polyshape file has data on the packaged alcohol and beverage (beer & ale, wine, distilled spirits) sales for 206 TV markets in the lower 48 U.S. The TV Markets, also known as Designated Market Areas (DMA) are used by Nielsen Rating system. The sales listed are percent figures for each of the market areas. Also listed is percent U.S. population in each market and an index that indicates how strong the sales are comapared to the average U.S. sales. A figure of more than 100 indicated stronger sales while one less than 100 shows lower sales.
The polyshape file has data on the car dealers (new and used) as well recreational vehicle dealers and parts (including tires) sales for 206 TV markets in the lower 48 U.S. The TV Markets, also known as Designated Market Areas (DMA) are used by Nielsen Rating system. The sales listed are percent figures for each of the market areas. Also listed is percent U.S. population in each market and an index that indicates how strong the sales are comapared to the average U.S. sales. A figure of more than 100 indicated stronger sales while one less than 100 shows lower sales.
The state fact sheets summarize the basic Toxics Release Inventory (TRI) data for each state from 2002. The TRI is a publicly available database containing information about releases and other waste management of toxic chemicals reported by industrial facilities. Each state fact sheet provides the following: * Reported Disposal or Other Releases and Other Waste Management Activities: o On- and Off-site Disposal or Other Releases: Amounts of TRI chemicals in disposal to Class I underground injection wells, RCRA Subtitle C landfills and other landfills, fugitive air emissions, point source air emissions, surface water discharges, disposal to Class II-V underground injection wells, land treatment, surface impoundments and other land disposal at reporting facilities within the state. o Off-site Disposal or Other Releases: Transfers of TRI chemicals in waste sent to underground injection wells, RCRA Subtitle C landfills, other landfills, storage, solidification/stabilization (metals only), wastewater treatment (metals only), publicly owned treatment works (POTWs) (metals only), surface impoundments, land treatment, other land disposal, other off-site management, and transfers to waste brokers for disposal and transfers to sites where the management type is unknown. Off-site transfer data exclude amounts sent for disposal or other releases to other TRI facilities that reported those amounts as on-site disposal or other releases. o Transfers Off-site for Further Waste Management: Amounts of TRI chemicals sent off-site for further waste management recycling, energy recovery, treatment, POTWs, or for disposal or other releases. For amounts transferred to POTWs, metals and metal category compounds are identified separately from non-metals. All release figures are recorded as pounds.
The polyshape file has data on the gas station and convenience store sales in the 206 TV markets in the lower 48 U.S. The TV Markets, also known as Designated Market Areas (DMA) are used by Nielsen Rating system. The sales listed are percent figures for each of the market areas. Also listed is percent U.S. population in each market and an index that indicates how strong the sales are compared to the average U.S. sales. A figure of more than 100 indicated stronger sales while one less than 100 shows lower sales.
The polyshape file has data on the food service and drinking place sales for the 206 TV markets in the lower 48 U.S. The TV Markets, also known as Designated Market Areas (DMA)are used by Nielsen Rating system. The sales listed are percent figures for each of the market areas. Also listed is percent U.S. population in each market and an index that indicates how strong the sales are compared to the average U.S. sales. A figure of more than 100 indicated stronger sales while one less than 100 shows lower sales. The categories in the Food Service and Drinking places include: * Full-service restaurants * Limited-service eating places * Limited-service restaurants * Cafeterias * Snack and nonalcoholic beverage bars * Special food services * Food service contractors * Caterers * Mobile food services * Drinking places (alcoholic beverages)
The polyshape file has data on the grocery store sales for 206 TV markets in the lower 48 U.S. The TV Markets, also known as Designated Market Areas (DMA)are used by Nielsen Rating system. The sales listed are percent figures for each of the market areas. Also listed is percent U.S. population in each market and an index that indicates how strong the sales are comapared to the average U.S. sales. A figure of more than 100 indicated stronger sales while one less than 100 shows lower sales. The types of grocery stores included are: * Supermarkets and grocery stores * Delicatessen-type establishments * Convenience stores or food marts (except those with fuel pumps)
This dataset displays Reported Disposal or Other Releases by state for industrial facilities in the USA for 2005. The state fact sheets summarize the basic Toxics Release Inventory (TRI) data for each state from 2002. The TRI is a publicly available database containing information about releases and other waste management of toxic chemicals reported by industrial facilities. Each state fact sheet provides the following: * Reported Disposal or Other Releases and Other Waste Management Activities: o On- and Off-site Disposal or Other Releases: Amounts of TRI chemicals in disposal to Class I underground injection wells, RCRA Subtitle C landfills and other landfills, fugitive air emissions, point source air emissions, surface water discharges, disposal to Class II-V underground injection wells, land treatment, surface impoundments and other land disposal at reporting facilities within the state. o Off-site Disposal or Other Releases: Transfers of TRI chemicals in waste sent to underground injection wells, RCRA Subtitle C landfills, other landfills, storage, solidification/stabilization (metals only), wastewater treatment (metals only), publicly owned treatment works (POTWs) (metals only), surface impoundments, land treatment, other land disposal, other off-site management, and transfers to waste brokers for disposal and transfers to sites where the management type is unknown. Off-site transfer data exclude amounts sent for disposal or other releases to other TRI facilities that reported those amounts as on-site disposal or other releases. o Transfers Off-site for Further Waste Management: Amounts of TRI chemicals sent off-site for further waste management recycling, energy recovery, treatment, POTWs, or for disposal or other releases. For amounts transferred to POTWs, metals and metal category compounds are identified separately from non-metals.
This dataset displays the inmate populations for all the Federal Prisons throughout the United States on 5.15.08. This weekly Population Report can be found on the Bureau of Prisons website at bop.gov. These facilities are positioned by their lat/lon and this dataset is updated on a weekly basis.
Alabama Unified School Boundary 2000 - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Alaska Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Arizona Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Arkansas Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
California Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Colorado Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Connecticut Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Deleware Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Florida Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Map of the "state" borders
Georgia Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Hawaii Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Idaho Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Illinois Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Indiana Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Iowa Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Kansas Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
For the third consecutive year, AutoVantage has polled drivers throughout the country to discover Americas most courteous and rudest cities for motorists. This website provides a rundown of the key findings for this years survey. It is hoped that by addressing and understanding the attitudes of drivers, the results of this survey will help educate drivers and influence safer driving habits. AutoVantage commissioned Prince Market Research, an independent research firm, to conduct a nationally representative telephone study with consumers in 25 major U.S. metropolitan areas. The survey was conducted between February 4 and March 23, 2008. A total of 2,512 interviews were completed, evenly distributed among the designated markets. Qualified respondents needed to be at least 21 years of age and drive at least 10 minutes during rush hour three or more days per week. The survey consisted of 34 questions, and interviews averaged 6 8 minutes. No incentive was offered. The margin of error is +/- 2%.
Kentucky Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
For the third consecutive year, AutoVantage has polled drivers throughout the country to discover Americas most courteous and rudest cities for motorists. This website provides a rundown of the key findings for this years survey. It is hoped that by addressing and understanding the attitudes of drivers, the results of this survey will help educate drivers and influence safer driving habits. AutoVantage commissioned Prince Market Research, an independent research firm, to conduct a nationally representative telephone study with consumers in 25 major U.S. metropolitan areas. The survey was conducted between February 4 and March 23, 2008. A total of 2,512 interviews were completed, evenly distributed among the designated markets. Qualified respondents needed to be at least 21 years of age and drive at least 10 minutes during rush hour three or more days per week. The survey consisted of 34 questions, and interviews averaged 6 8 minutes. No incentive was offered. The margin of error is +/- 2%.
Louisiana Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Maine Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Maryland Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Massachusetts Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Michigan Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Minnesota Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Mississippi Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Missouri Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
The second annual In The Drivers Seat Road Rage Survey, commissioned by AutoVantage, a leading national auto club, found that the least courteous city in the country is Miami, followed by New York and Boston. Its the second consecutive year that Miami claimed the top spot. The other two cities with the worst road rage were Los Angeles and Washington, D.C. The most courteous city is Portland, Ore., followed closely by Pittsburgh, Seattle/Tacoma, St. Louis and Dallas/Ft. Worth. The In The Driver's Seat 2007 AutoVantage Road Rage Survey, released today, was conducted to determine the driving habits and attitudes of commuters across the U.S. and to learn more about consumer views on the topic of road rage. ""Road rage has unfortunately too often become a way of life, both on and off the track,"" said NASCAR racing TV personality, radio host, best-selling author and AutoVantage spokesperson Liz Allison. ""More and more, in cities across America, people are acting out their frustrations with dangerous results. It's bad for professional and everyday drivers alike. ""Our Road Rage survey shines the light on emerging driving trends, and there are some very interesting results."" The survey's best and worst cities are: Least Courteous Cities (Worst Road Rage): 2007 2006 1. Miami 1. Miami 2. New York 2. Phoenix 3. Boston 3. New York 4. Los Angeles 4. Los Angeles 5. Washington, D.C 5. Boston Most Courteous Cities (Least Road Rage): 2007 2006 1. Portland, Ore. 1. Minneapolis 2. Pittsburgh 2. Nashville 3. Seattle/Tacoma 3. St. Louis 4. St. Louis 4. Seattle 5. Dallas/Ft. Worth 5. Atlanta Other cities surveyed include Phoenix; Chicago; Sacramento, Calif.; Philadelphia; San Francisco; Houston; Atlanta; Detroit; Minneapolis/St. Paul; Baltimore; Tampa, Fla.; San Diego; Cincinnati; Cleveland and Denver.
Montana Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
The second annual In The Drivers Seat Road Rage Survey, commissioned by AutoVantage, a leading national auto club, found that the least courteous city in the country is Miami, followed by New York and Boston. Its the second consecutive year that Miami claimed the top spot. The other two cities with the worst road rage were Los Angeles and Washington, D.C. The most courteous city is Portland, Ore., followed closely by Pittsburgh, Seattle/Tacoma, St. Louis and Dallas/Ft. Worth. The In The Driver's Seat 2007 AutoVantage Road Rage Survey, released today, was conducted to determine the driving habits and attitudes of commuters across the U.S. and to learn more about consumer views on the topic of road rage. "Road rage has unfortunately too often become a way of life, both on and off the track," said NASCAR racing TV personality, radio host, best-selling author and AutoVantage spokesperson Liz Allison. ""More and more, in cities across America, people are acting out their frustrations with dangerous results. It's bad for professional and everyday drivers alike. "Our Road Rage survey shines the light on emerging driving trends, and there are some very interesting results." The survey's best and worst cities are: Least Courteous Cities (Worst Road Rage): 2007 2006 1. Miami 1. Miami 2. New York 2. Phoenix 3. Boston 3. New York 4. Los Angeles 4. Los Angeles 5. Washington, D.C 5. Boston Most Courteous Cities (Least Road Rage): 2007 2006 1. Portland, Ore. 1. Minneapolis 2. Pittsburgh 2. Nashville 3. Seattle/Tacoma 3. St. Louis 4. St. Louis 4. Seattle 5. Dallas/Ft. Worth 5. Atlanta Other cities surveyed include Phoenix; Chicago; Sacramento, Calif.; Philadelphia; San Francisco; Houston; Atlanta; Detroit; Minneapolis/St. Paul; Baltimore; Tampa, Fla.; San Diego; Cincinnati; Cleveland and Denver.
Map of the "state" borders
The second annual In The Drivers Seat Road Rage Survey, commissioned by AutoVantage, a leading national auto club, found that the least courteous city in the country is Miami, followed by New York and Boston. Its the second consecutive year that Miami claimed the top spot. The other two cities with the worst road rage were Los Angeles and Washington, D.C. The most courteous city is Portland, Ore., followed closely by Pittsburgh, Seattle/Tacoma, St. Louis and Dallas/Ft. Worth. The In The Driver's Seat 2007 AutoVantage Road Rage Survey, released today, was conducted to determine the driving habits and attitudes of commuters across the U.S. and to learn more about consumer views on the topic of road rage. "Road rage has unfortunately too often become a way of life, both on and off the track,"" said NASCAR racing TV personality, radio host, best-selling author and AutoVantage spokesperson Liz Allison. " More and more, in cities across America, people are acting out their frustrations with dangerous results. It's bad for professional and everyday drivers alike. "Our Road Rage survey shines the light on emerging driving trends, and there are some very interesting results." The survey's best and worst cities are: Least Courteous Cities (Worst Road Rage): 2007 2006 1. Miami 1. Miami 2. New York 2. Phoenix 3. Boston 3. New York 4. Los Angeles 4. Los Angeles 5. Washington, D.C 5. Boston Most Courteous Cities (Least Road Rage): 2007 2006 1. Portland, Ore. 1. Minneapolis 2. Pittsburgh 2. Nashville 3. Seattle/Tacoma 3. St. Louis 4. St. Louis 4. Seattle 5. Dallas/Ft. Worth 5. Atlanta Other cities surveyed include Phoenix; Chicago; Sacramento, Calif.; Philadelphia; San Francisco; Houston; Atlanta; Detroit; Minneapolis/St. Paul; Baltimore; Tampa, Fla.; San Diego; Cincinnati; Cleveland and Denver.
Nebraska Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
The second annual In The Drivers Seat Road Rage Survey, commissioned by AutoVantage, a leading national auto club, found that the least courteous city in the country is Miami, followed by New York and Boston. Its the second consecutive year that Miami claimed the top spot. The other two cities with the worst road rage were Los Angeles and Washington, D.C. The most courteous city is Portland, Ore., followed closely by Pittsburgh, Seattle/Tacoma, St. Louis and Dallas/Ft. Worth. The In The Driver's Seat 2007 AutoVantage Road Rage Survey, released today, was conducted to determine the driving habits and attitudes of commuters across the U.S. and to learn more about consumer views on the topic of road rage. "Road rage has unfortunately too often become a way of life, both on and off the track," said NASCAR racing TV personality, radio host, best-selling author and AutoVantage spokesperson Liz Allison. ""More and more, in cities across America, people are acting out their frustrations with dangerous results. It's bad for professional and everyday drivers alike. "Our Road Rage survey shines the light on emerging driving trends, and there are some very interesting results." The survey's best and worst cities are: Least Courteous Cities (Worst Road Rage): 2007 2006 1. Miami 1. Miami 2. New York 2. Phoenix 3. Boston 3. New York 4. Los Angeles 4. Los Angeles 5. Washington, D.C 5. Boston Most Courteous Cities (Least Road Rage): 2007 2006 1. Portland, Ore. 1. Minneapolis 2. Pittsburgh 2. Nashville 3. Seattle/Tacoma 3. St. Louis 4. St. Louis 4. Seattle 5. Dallas/Ft. Worth 5. Atlanta Other cities surveyed include Phoenix; Chicago; Sacramento, Calif.; Philadelphia; San Francisco; Houston; Atlanta; Detroit; Minneapolis/St. Paul; Baltimore; Tampa, Fla.; San Diego; Cincinnati; Cleveland and Denver.
Map of the "state" borders BioGeoMancer http://biogeo.berkeley.edu/gadm/
Map of the "state" borders
Nevada Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
New Hampshire Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Map of the "state" borders
Map of the "state" borders
New Jersey Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Map of the "state" borders
New Mexico Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Map of the "state" borders
Map of the "state" borders
Map of the "state" borders
Map of the "state" borders
New York Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
North Carolina Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
North Dakota Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Map of the "state" borders
Ohio Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Map of the "state" borders
Oklahoma Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Map of the "state" borders
Oregon Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Pennsylvania Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Puerto Rico Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Rhode Island Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Map of the "state" borders
South Carolina Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Map of the "state" borders
South Dakota Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Tennessee Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Texas Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Map of the "state" borders
Map of the "state" borders
Utah Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Vermont Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Virginia Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Map of the "state" borders
Washington Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Map of the "state" borders BioGeoMancer
West Virginia Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Map of the "state" borders BioGeoMancer
Wisconsin Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Map of the "state" borders BioGeoMancer
Wyoming Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Map of the "state" borders
District of Columbia Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Map of the "state" borders
Map of the "state" borders
Map of the "state" borders
Map of the "state" borders
Virginia Unified School Boundary - School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
Map of the "state" borders
Map of the "state" borders
Map of the "state" borders
Map of the "state" borders
Map of the "state" borders
Map of the "state" borders
Map of the "state" borders
Map of the "state" borders
Map of the "state" borders
This dataset includes unemployment rates for all counties in the lower 48 for the year 2000. The data was extracted from the Bureau of Labor Statistic Local Area Unemployment Statistics (LAUS)program. (Pre-Update)
Map of the "state" borders
Map of the "state" borders
Map of the "state" borders
This dataset includes unemployment rates for all counties in the lower 48 for the year 2001. I have also calculated Rates of Change from 2000 and they are included as well. The data was extracted from the Bureau of Labor Statistic Local Area Unemployment Statistics (LAUS)program. (pre-update)
This dataset includes unemployment rates for all counties in the lower 48 for the year 2002. I have also calculated Rates of Change from 2001 they are included as well. The data was extracted from the Bureau of Labor Statistic Local Area Unemployment Statistics (LAUS)program. (pre-update)
This dataset provides many demographic and social figures on topics such as health, education and family life for 2004. The data was accessed form the website for the National Institute of Statistics for Venezuela. The data are available yearly for the Federal Entities (states) of Venezuela. Values of -1 represent no data available
The polyshape file shows data for the West Virginia primary held on 13th May, 2008. Along with votes by county for Clinton, Obama and Edwards, percent share of votes for each candidates has been computed.
This dataset provides many demographic and social figures on topics such as health, education and family life for 2005. The data was accessed form the website for the National Institute of Statistics for Venezuela. The data are available yearly for the Federal Entities (states) of Venezuela. Values of -1 represent no data available.
The Airports database is a geographic point database of aircraft landing facilities in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the landing facility, current usage including enplanements and aircraft operations, congestion levels and usage categories. There are 20491 airport landing facilities in this dataset. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product (Effective 18 Jaunary 2007)
This dataset provides many demographic and social figures on topics such as health, education and family life for 2006. The data was accessed form the website for the National Institute of Statistics for Venezuela. The data are available yearly for the Federal Entities (states) of Venezuela. Values of -1 represent no available data.
The data included in the GIS Traffic Stations Version database have been assimilated from station description files provided by FHWA for Weigh-in-Motion (WIM) stations, and Automatic Traffic Recorders (ATR). Location referencing information was derived from the National Highway Planning Network version 4.0. and State offices of Transportation. The attributes on the point elements of the database have come from two primary sources, the Station Description Records and the National Highway Planning Network's Linear Referencing System. The attributes for these databases have been intentionally limited to location referencing attributes since the core station description attribute data are contained within the Station Description Tables (SDT). There is a separate Station Description Table (SDT) for each of the different station types; WIM, and ATR. The attributes in the Station Description Table correspond with the Station Description Record found in Chapter 6 of the latest Traffic Monitoring Guide. The SDT contains the most recent stations available for each state and station type. This table was derived from files provided UTCTR by FHWA. The Station Description Table can be linked to the station shapefile via the STNNKEY field . A single exception table containing records for those stations that could not be located is provided for WIM, and ATR stations. Generally, this table contains records where location descriptions were not clear enough to locate a station. It is hoped that FHWA will be able to contact the States for a more detailed description
This dataset displays Reported Disposal or Other Releases by state for industrial facilities in the USA for 2004. Description of State Fact Sheets The state fact sheets summarize the basic Toxics Release Inventory (TRI) data for each state from 2002. The TRI is a publicly available database containing information about releases and other waste management of toxic chemicals reported by industrial facilities. Each state fact sheet provides the following: * Reported Disposal or Other Releases and Other Waste Management Activities: o On- and Off-site Disposal or Other Releases: Amounts of TRI chemicals in disposal to Class I underground injection wells, RCRA Subtitle C landfills and other landfills, fugitive air emissions, point source air emissions, surface water discharges, disposal to Class II-V underground injection wells, land treatment, surface impoundments and other land disposal at reporting facilities within the state. o Off-site Disposal or Other Releases: Transfers of TRI chemicals in waste sent to underground injection wells, RCRA Subtitle C landfills, other landfills, storage, solidification/stabilization (metals only), wastewater treatment (metals only), publicly owned treatment works (POTWs) (metals only), surface impoundments, land treatment, other land disposal, other off-site management, and transfers to waste brokers for disposal and transfers to sites where the management type is unknown. Off-site transfer data exclude amounts sent for disposal or other releases to other TRI facilities that reported those amounts as on-site disposal or other releases.
This dataset was created for my masters thesis on Urban Agriculture in Havana. The points represent gardens that were identified through a combination of visual identification in Google earth and site visits in Havana during the summer of 2007.
This data was downloaded from the Cuban website in March of 2008. All missing data is represented as -1. The selection of data for different years varies. The National Center of Statistics and the National Center of Information of Medical Sciences offer health statistics corresponding to the years 1995, 1996, 1997, 1998, 1999 , 2000 , 2001 , 2002 , 2003 , 2004, 2005 y 2006. The documents contain an important volume of statistical information about the fundamental components of the state of health of the Cuban population, resources, services, and the training of qualified personal. This has been published for 23 consecutive years. The indicators presented come from the following information sources: * Demographic publications from the National Office of Statistics * System of Information of National Statistics * system of Information of Statistics about the health sector * Direction of ambulatory attention (referencing family doctors) * National direction of Teaching (doctors and dentists in residence) * Registry of health professionals
The National Highway Planning Network is a comprehensive network database of the nation's major highway system. It consists of the nation's highways comprised of Rural Arterials, Urban Principal Arterials and all National Highway System routes. The data set covers the 48 contiguous States plus the District of Columbia, Alaska, Hawaii, and Puerto Rico. The nominal scale of the data set is 1:100,000 with a maximal positional error of 80 meters.
Map of the county borders within the states
Map of the county borders within the states BioGeoMancer
Housing Unit Estimates for the 100 Fastest Growing Counties With 5,000 or More Housing Units in 2006: April 1, 2000 to July 1, 2006
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states BioGeoMancer
Map of the county borders within the states BioGeoMancer
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
This data was downloaded from the Cuban website in March of 2008. All missing data is represented as -1. The selection of data for different years varies. The National Center of Statistics and the National Center of Information of Medical Sciences offer health statistics corresponding to the years 1995, 1996, 1997, 1998, 1999 , 2000 , 2001 , 2002 , 2003 , 2004, 2005 y 2006. The documents contain an important volume of statistical information about the fundamental components of the state of health of the Cuban population, resources, services, and the training of qualified personal. This has been published for 23 consecutive years. The indicators presented come from the following information sources: * Demographic publications from the National Office of Statistics * System of Information of National Statistics * system of Information of Statistics about the health sector * Direction of ambulatory attention (referencing family doctors) * National direction of Teaching (doctors and dentists in residence) * Registry of health professionals
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
Map of the county borders within the states
This dataset includes unemployment rates for all counties in the lower 48 for the year 2003. Rates of Change from 2002 are also included. The data was extracted from the Bureau of Labor Statistic Local Area Unemployment Statistics (LAUS)program. (pre-update)
This dataset includes unemployment rates for all counties in the lower 48 for the year 2004. I calculated Rates of Change from 2003 and they are also included. The data was extracted from the Bureau of Labor Statistic Local Area Unemployment Statistics (LAUS)program. (pre-update)
This dataset includes unemployment rates for all counties in the lower 48 for the year 2005. I calculated Rates of Change from 2004 and they are also included. The data was extracted from the Bureau of Labor Statistic Local Area Unemployment Statistics (LAUS)program. (pre-update)
This dataset includes unemployment rates for all counties in the lower 48 for the year 2006. I have also calculated Rates of Change from 2005 and they are included as well. The data was extracted from the Bureau of Labor Statistic Local Area Unemployment Statistics (LAUS)program. (pre-update)
The polyshape file has data on the amount of federal spending (assistance) received by states over the last eight years (FY2000 to FY2008 sofar). Also shown is the percent share by each state over the same time period.
The polyshape file shows Federal assistance ($) to states during FY 2000. It also has percent share for each state.
The polyshape file shows data of Federal assistance received by each state during FY 2007. It also has percent share of the same for each state.
The polyshape file shows Federal assistance (billions of $) for each state. Also shown is the percent share of each state during FY 2006.
The polyshape file shows Federal assistance ($ bill) to each state during FY 2005. Also shown is the percent share of the Federal assistance for each state.
The polyshape file shows Federal assistance ($ bill) to each state during FY 2005. Also shown is the percent share of the Federal assistance for each state.
The polyshape file shows Federal assistance ($ bill) to each state during FY 2005. Also shown is the percent share of the Federal assistance for each state.
The polyshape file shows Federal assistance ($ bill) to each state during FY 2002. Also shown is the percent share of the Federal assistance for each state.
The polyshape file shows Federal assistance ($ bill) to each state during FY 2001. Also shown is the percent share of the Federal assistance for each state.
This coverage represents year MODIS fire detections for the 7 day period specified for the geographic area covering the conterminous United States, Alaska, Hawaii, Canada and northern Mexico. The detections are obtained using both TERRA MODIS and AQUA MODIS data are collected and processed as a cooperative effort between the USDA Forest Service Remote Sensing Application Center, NASA-Goddard Space Flight Center and the University of Maryland. These fire detection data are collected for the USDA Forest Service MODIS Active Fire Mapping Program (http://activefiremaps.fs.fed.us). These data are intended to provide a synoptic view of active fires for the past and present over the specified time period. These data are collected at a spatial resolution of 1 kilometer and therefore are only intended for geographic display and analysis at the national and regional levels. No responsibility is assumed by the USDA Forest Service in the use of these data.
This dataset includes births, deaths and the ratio of births to deaths by metropolitan area for the years 2000-2006. The actual births and deaths for 2000 and estimates were taken from the U.S. Census Components of Population Change. Ratios were calculated based on that data.
This is the U.S. Census Components of Population Change by Metro Area. It includes estimates for population, births, deaths, net immigration, net migration for the years 2000-2006.
This dataset reports annual building permits by metro area in the U.S. for the years 2000-2006. It was created based on the U.S. Census quartlerly building permit data by county.
This data was downloaded from the Cuban website in March of 2008. All missing data is represented as -1. The selection of data for different years varies. The National Center of Statistics and the National Center of Information of Medical Sciences offer health statistics corresponding to the years 1995, 1996, 1997, 1998, 1999 , 2000 , 2001 , 2002 , 2003 , 2004, 2005 y 2006. The documents contain an important volume of statistical information about the fundamental components of the state of health of the Cuban population, resources, services, and the training of qualified personal. This has been published for 23 consecutive years. The indicators presented come from the following information sources: * Demographic publications from the National Office of Statistics * System of Information of National Statistics * system of Information of Statistics about the health sector * Direction of ambulatory attention (referencing family doctors) * National direction of Teaching (doctors and dentists in residence) * Registry of health professionals
This dataset reports annual building permits per capita (in 1,000's of persons) by metro area in the U.S. for the years 2000-2006. It was created based on the U.S. Census quartlerly building permit data and Census population estimates by county
This data was downloaded from the Cuban website in March of 2008. All missing data is represented as -1. The selection of data for different years varies. The National Center of Statistics and the National Center of Information of Medical Sciences offer health statistics corresponding to the years 1995, 1996, 1997, 1998, 1999 , 2000 , 2001 , 2002 , 2003 , 2004, 2005 y 2006. The documents contain an important volume of statistical information about the fundamental components of the state of health of the Cuban population, resources, services, and the training of qualified personal. This has been published for 23 consecutive years. The indicators presented come from the following information sources: * Demographic publications from the National Office of Statistics * System of Information of National Statistics * system of Information of Statistics about the health sector * Direction of ambulatory attention (referencing family doctors) * National direction of Teaching (doctors and dentists in residence) * Registry of health professionals
The United States MSA Boundaries data set contains the boundaries for metropolitan statistical areas in the United States. The data set contains information on location, identification, and size. The database includes metropolitan boundaries within all 50 states, the District of Columbia, and Puerto Rico. The general concept of a metropolitan area (MA) is one of a large population nucleus, together with adjacent communities that have a high degree of economic and social integration with that nucleus. Some MAs are defined around two or more nuclei. Each MA must contain either a place with a minimum population of 50,000 or a U.S. Census Bureau-defined urbanized area and a total MA population of at least 100,000 (75,000 in New England). An MA contains one or more central counties. An MA also may include one or more outlying counties that have close economic and social relationships with the central county. An outlying county must have a specified level of commuting to the central counties and also must meet certain standards regarding metropolitan character, such as population density, urban population, and population growth. In New England, MAs consist of groupings of cities and towns rather than whole counties. The territory, population, and housing units in MAs are referred to as "metropolitan." The metropolitan category is subdivided into "inside central city" and "outside central city." The territory, population, and housing units located outside territory designated "metropolitan" are referred to as "non-metropolitan." The metropolitan and non-metropolitan classification cuts across the other hierarchies; for example, generally there are both urban and rural territory within both metropolitan and non-metropolitan areas.
This dataset displays the locations of the top public high schools in the USA in 2008 according to Newsweek. The location of the high schools were determined by finding the lat/lon of the city and state of the high school. Public schools are ranked according to a ratio devised by Jay Mathews: the number of Advanced Placement, Intl. Baccalaureate and/or Cambridge tests taken by all students at a school in 2007 divided by the number of graduating seniors. All of the schools on the list have an index of at least 1.000; they are in the top 5 percent of public schools measured this way. If you have 2007 data showing that your school should be on this list, please contact Mathews at challenge@washpost.com. Note: Subs. Lunch % is the percentage of students receiving federally subsidized meals. E and E % stands for equity and excellence percentage: the portion of all graduating seniors at a school that had at least one passing grade on one AP or IB test.
This dataset displays the locations of the top public high schools in the USA in 2007 according to Newsweek. The location of the high schools were determined by finding the lat/lon of the city and state of the high school. Public schools are ranked according to a ratio devised by Jay Mathews: the number of Advanced Placement, Intl. Baccalaureate and/or Cambridge tests taken by all students at a school in 2006 divided by the number of graduating seniors. All of the schools on the list have an index of at least 1.000; they are in the top 5 percent of public schools measured this way. If you have 2006 data showing that your school should be on this list, please contact Mathews at challenge@washpost.com. Note: Subs. Lunch % is the percentage of students receiving federally subsidized meals. E and E % stands for equity and excellence percentage: the portion of all graduating seniors at a school that had at least one passing grade on one AP or IB test.
This Dataset provides detailed street address level data for Chester new Hampshire Property Listings. Data attributes include price home was last sold at, date of sale, number of bedrooms, bathrooms, and square footage of living area. Data is recent as of January, 2008.
This dataset is from the website USA Election Polls. The data provide information from exit polls from the Democratic primaries in 2008 by state for race/ethnicity and gender. All values of -1 represent no available data.
The point shape file shows locations of 5,097 AM radio stations in the U.S. The compiled list was geocoded using FCC's AM radio stations locations database.
The point shape file shows locations of 523 AM radio stations that carry Rush Limbaugh, i.e., almost 10% of all AM radio stations in the USA. The shape file was generated by combining data scraped from online source (see URL cited) and the geocoded list of 5,097 AM radio stations in the USA (see the URL below).
This dataset displays the state level employer firms and employment by firm size. Data is available for each US state. The figures include the total emplers and employees, as well as figures on the firms size. Notes: For state data, a firm is as an aggregation of all establishments (locations with payroll in any quarter) owned by a parent company within a state (start-ups after March, closures before March, and seasonal firms could have zero employment). See www.sba.gov/advo/research/data.html for more detail. Source: U.S. Small Business Administration, Office of Advocacy, based on data provided by the U.S. Census Bureau.
The point shapefile shows geocoded locations of hospices across the U.S. as of 12/31/2007. Out of 3,255 hospices for which data is available from HRSA (Health Resources and Services Administration), only 2,703 (nearly 83%) could be geocoded.
This dataset displays the locations of the top public high schools in the USA in 2003 according to Newsweek. The location of the high schools were determined by finding the lat/lon of the city and state of the high school. Public schools are ranked according to a ratio devised by Jay Mathews: the number of Advanced Placement, Intl. Baccalaureate and/or Cambridge tests taken by all students at a school in 2002 divided by the number of graduating seniors. All of the schools on the list have an index of at least 1.000; they are in the top 5 percent of public schools measured this way. If you have 2002 data showing that your school should be on this list, please contact Mathews at challenge@washpost.com. Note: Subs. Lunch % is the percentage of students receiving federally subsidized meals. E and E % stands for equity and excellence percentage: the portion of all graduating seniors at a school that had at least one passing grade on one AP or IB test.
This dataset displays the locations of the top public high schools in the USA in 2006 according to Newsweek. The location of the high schools were determined by finding the lat/lon of the city and state of the high school. Public schools are ranked according to a ratio devised by Jay Mathews: the number of Advanced Placement, Intl. Baccalaureate and/or Cambridge tests taken by all students at a school in 2005 divided by the number of graduating seniors. All of the schools on the list have an index of at least 1.000; they are in the top 5 percent of public schools measured this way. If you have 2005 data showing that your school should be on this list, please contact Mathews at challenge@washpost.com. Note: Subs. Lunch % is the percentage of students receiving federally subsidized meals. E and E % stands for equity and excellence percentage: the portion of all graduating seniors at a school that had at least one passing grade on one AP or IB test.
Percent Low-Birthweight Babies is the percentage of live births weighing less than 2,500 grams (5.5 pounds). The data are reported by place of mothers residence, not place of birth. This data is available on a state level as a percentage and also includes the rank for each year. Data is available from 1990 - 2004.
This dataset displays the locations of the top public high schools in the USA in 2005 according to Newsweek. The location of the high schools were determined by finding the lat/lon of the city and state of the high school. Public schools are ranked according to a ratio devised by Jay Mathews: the number of Advanced Placement, Intl. Baccalaureate and/or Cambridge tests taken by all students at a school in 2004 divided by the number of graduating seniors. All of the schools on the list have an index of at least 1.000; they are in the top 5 percent of public schools measured this way. If you have 2004 data showing that your school should be on this list, please contact Mathews at challenge@washpost.com. Note: Subs. Lunch % is the percentage of students receiving federally subsidized meals. E and E % stands for equity and excellence percentage: the portion of all graduating seniors at a school that had at least one passing grade on one AP or IB test.
Infant Mortality Rate (deaths per 1,000 live births) is the number of deaths occurring to infants under 1 year of age per 1,000 live births. The data are reported by place of residence, not place of death. The rate as well as the rank figures are included in this data. SOURCE: * U.S. Centers for Disease Control and Prevention, National Center for Health Statistics.
The polyshape file shows the number of persons on the wait list for various types of organ transplant by state as of May, 2008. The types of organ transplants include, kidney, heart, ling, liver, pancreas, heart/lung, kidney/pancreas etc. Note that there is no data available for Montana, Idaho and Wyoming. The highest number on the waiting list are in California (more than 20,800; of which more than 16,000 are on the wait list for kidney transplant). New York (9,359), Texas (9,300), Pennsylvania (7,304), lllinois (4,866) are the next four on the list. Look for another dataset that has wait list by percent share for each of the organ transplant types.
Child Death Rate (deaths per 100,000 children ages 114) is the number of deaths to children between ages 1 and 14, from all causes, per 100,000 children in this age range. The data are reported by place of residence, not place of death. SOURCES: * Death Statistics: U.S. Centers for Disease Control and Prevention, National Center for Health Statistics. * Population Statistics: U.S. Census Bureau.
Teen Death Rate (deaths per 100,000 teens ages 1519) is the number of deaths from all causes to teens between ages 15 and 19, per 100,000 teens in this age group. The data are reported by place of residence, not the place where the death occurred. SOURCES: * Death Statistics: U.S. Centers for Disease Control and Prevention, National Center for Health Statistics. * Population Statistics: U.S. Census Bureau.
This dataset shows the locations of Equestrian education programs at the college level for the state of Illinois.
Teen Birth Rate (births per 1,000 females ages 1519) is the number of births to teenagers between ages 15 and 19 per 1,000 females in this age group. Data reflect the mothers place of residence, rather than the place of the birth. SOURCES: * Birth Statistics: U.S. Centers for Disease Control and Prevention, National Center for Health Statistics. * Population Statistics: U.S. Census Bureau.
This dataset shows the locations of horse shoers and farriers in the Midwest of the United States. if your horse goes lame, visit one of these guys.
Percent of Teens Who Are High School Dropouts (ages 1619) is the percentage of teenagers between ages 16 and 19 who are not enrolled in school and are not high school graduates. Those who have a GED or equivalent are included as high school graduates in this measure. The measure used here is defined as a status dropout rate. SOURCE: * U.S. Census Bureau, American Community Survey.
Percent of Teens Not Attending School and Not Working (ages 1619) is the percentage of teenagers between ages 16 and 19 who are not enrolled in school (full- or part-time) and not employed (full- or part-time). This measure is sometimes referred to as Idle Teens or Disconnected Youth. SOURCE: * U.S. Census Bureau, American Community Survey.
This dataset displays the inmate populations for all the Federal Prisons throughout the United States on 5.22.08. This weekly Population Report can be found on the Bureau of Prisons website at bop.gov. These facilities are positioned by their lat/lon and this dataset is updated on a weekly basis.
This datasets displays the summary of the Geographic Spread of Influenza throughout the United States for the week ending on 5.10.2008. Each state is given a flu Status that is dependent on the spread of influenza throughout the state for the particular week. There are five levels of status that a state can obtain. They are: * No Activity: No laboratory-confirmed cases of influenza and no reported increase in the number of cases of ILI. * Sporadic: Small numbers of laboratory-confirmed influenza cases or a single laboratory-confirmed influenza outbreak has been reported, but there is no increase in cases of ILI. * Local: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in a single region of the state. * Regional: Outbreaks of influenza or increases in ILI and recent laboratory confirmed influenza in at least 2 but less than half the regions of the state. * Widespread: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in at least half the regions of the state. The information comes from the Centers for Disease Control and Prevention (CDC) To see more information about how this status is determined see http://www.cdc.gov/flu/weekly/fluactivity.htm for a full explanation of their system.
"This dataset displays Reported Disposal or Other Releases by state for industrial facilities in the USA for 2002. Description of State Fact Sheets The state fact sheets summarize the basic Toxics Release Inventory (TRI) data for each state from 2002. The TRI is a publicly available database containing information about releases and other waste management of toxic chemicals reported by industrial facilities. Each state fact sheet provides the following: * Reported Disposal or Other Releases and Other Waste Management Activities: o On- and Off-site Disposal or Other Releases: Amounts of TRI chemicals in disposal to Class I underground injection wells, RCRA Subtitle C landfills and other landfills, fugitive air emissions, point source air emissions, surface water discharges, disposal to Class II-V underground injection wells, land treatment, surface impoundments and other land disposal at reporting facilities within the state. o Off-site Disposal or Other Releases: Transfers of TRI chemicals in waste sent to underground injection wells, RCRA Subtitle C landfills, other landfills, storage, solidification/stabilization (metals only), wastewater treatment (metals only), publicly owned treatment works (POTWs) (metals only), surface impoundments, land treatment, other land disposal, other off-site management, and transfers to waste brokers for disposal and transfers to sites where the management type is unknown. Off-site transfer data exclude amounts sent for disposal or other releases to other TRI facilities that reported those amounts as on-site disposal or other releases. o Transfers Off-site for Future
This dataset displays Reported Disposal or Other Releases by state for industrial facilities in the USA for 2003. Description of State Fact Sheets The state fact sheets summarize the basic Toxics Release Inventory (TRI) data for each state from 2002. The TRI is a publicly available database containing information about releases and other waste management of toxic chemicals reported by industrial facilities. Each state fact sheet provides the following: * Reported Disposal or Other Releases and Other Waste Management Activities: o On- and Off-site Disposal or Other Releases: Amounts of TRI chemicals in disposal to Class I underground injection wells, RCRA Subtitle C landfills and other landfills, fugitive air emissions, point source air emissions, surface water discharges, disposal to Class II-V underground injection wells, land treatment, surface impoundments and other land disposal at reporting facilities within the state. o Off-site Disposal or Other Releases: Transfers of TRI chemicals in waste sent to underground injection wells, RCRA Subtitle C landfills, other landfills, storage, solidification/stabilization (metals only), wastewater treatment (metals only), publicly owned treatment works (POTWs) (metals only), surface impoundments, land treatment, other land disposal, other off-site management, and transfers to waste brokers for disposal and transfers to sites where the management type is unknown. Off-site transfer data exclude amounts sent for disposal or other releases to other TRI facilities that reported those amounts as on-site disposal or other releases.
The poly shapefile of lower 48 state counties shows the number of primary healthcare professionals, their shortage and an estimate of population that is below 200% poverty level, as well percent population below 200% poverty level. Note that the original data from HRSA of DHHS has over 34000 records, where each county may have more than one designated primary health care areas. To georeference this data of 34000 records to 3,111 counties in lower 48 state, crosstab was carried out such that for each county, the estimated percent population below poverty level was averaged for each county while the number of FTE (Full Time Equivalent) health care professionals and the shortage of FTEs was summed for each county.
Percent of Children Living in Families Where No Parent Has Full-Time, Year-Round Employment is the share of all children under age 18 living in families where no parent has regular, full-time employment. For children living in single-parent families, this means that the resident parent did not work at least 35 hours per week, at least 50 weeks in the 12 months prior to the survey. For children living in married-couple families, this means that neither parent worked at least 35 hours per week, at least 50 weeks in the 12 months prior to the survey. Children living with neither parent also were listed as not having secure parental employment because those chil- dren are likely to be economically vulnerable. SOURCE: * U.S. Census Bureau, American Community Survey.
Percent of Children in Poverty (income below $19,806 for a family of two adults and two children in 2005) is the percentage of children under age 18 who live in families with incomes below 100 percent of the U.S. poverty threshold, as defined by the U.S. Office of Management and Budget. The federal poverty definition consists of a series of thresholds based on family size and composition and is updated every year to account for inflation. In calendar year 2005, a family of two adults and two children fell in the poverty category if their annual income fell below $19,806. Poverty status is not determined for people living in group quarters, such as military barracks, prisons, and other institutional quarters, or for unrelated individuals under age 15 (such as foster children). The data are based on income received in the 12 months prior to the survey. SOURCE: * U.S. Census Bureau, American Community Survey.
Percent of Children in Single-Parent Families is the percentage of children under age 18 who live with their own single parent, either in a family or subfamily. In this definition, single-parent families may include cohabiting couples and do not include children living with married stepparents. SOURCE: * U.S. Census Bureau, American Community Survey.
Overall Rank for each state was obtained in the following manner. First, we converted the 2005 (or 2004, depending on the indicator) state numerical values for each of the 10 key indicators into standard scores. We then summed those standard scores to create a total standard score for each of the 50 states. Finally, we ranked the states on the basis of their total standard score in sequential order from highest/best (1) to lowest/ worst (50). Standard scores were derived by subtracting the mean score from the observed score and dividing the amount by the standard deviation for that distribution of scores. All measures were given the same weight in calculating the total standard score.
This dataset displays Reported Industrial Facility Waste Management by state in the USA for 2006. The state fact sheets summarize the basic Toxics Release Inventory (TRI) data for each state from 2002. The TRI is a publicly available database containing information about releases and other waste management of toxic chemicals reported by industrial facilities. Each state fact sheet provides the following: * Reported Disposal or Other Releases and Other Waste Management Activities: o Transfers Off-site for Further Waste Management: Amounts of TRI chemicals sent off-site for further waste management recycling, energy recovery, treatment, POTWs, or for disposal or other releases. For amounts transferred to POTWs, metals and metal category compounds are identified separately from non-metals.
This dataset displays Reported Industrial Facility Waste Management by state in the USA for 2005. The state fact sheets summarize the basic Toxics Release Inventory (TRI) data for each state from 2002. The TRI is a publicly available database containing information about releases and other waste management of toxic chemicals reported by industrial facilities. Each state fact sheet provides the following: * Reported Disposal or Other Releases and Other Waste Management Activities: o Transfers Off-site for Further Waste Management: Amounts of TRI chemicals sent off-site for further waste management recycling, energy recovery, treatment, POTWs, or for disposal or other releases. For amounts transferred to POTWs, metals and metal category compounds are identified separately from non-metals.
This dataset explores the child's finalization age at adoption by state. The ages are grouped as under 1, 1-5, 6-10, 11-15, 16-18, 19 and older. This dataset is from October 2005 - September 2006 (Fiscal year 2006).
This dataset displays Reported Industrial Facility Waste Management by state in the USA for 2004. The state fact sheets summarize the basic Toxics Release Inventory (TRI) data for each state from 2002. The TRI is a publicly available database containing information about releases and other waste management of toxic chemicals reported by industrial facilities. Each state fact sheet provides the following: * Reported Disposal or Other Releases and Other Waste Management Activities: o Transfers Off-site for Further Waste Management: Amounts of TRI chemicals sent off-site for further waste management recycling, energy recovery, treatment, POTWs, or for disposal or other releases. For amounts transferred to POTWs, metals and metal category compounds are identified separately from non-metals.
This datasets displays the locations of all recorded earthquakes of a magnitude of 1 or greater around the world from the period of 5.12.08 to 5.19.08. The findings are from the US Geological Survey (USGS). Earthquake information is extracted from a merged catalog of earthquakes located by the USGS and contributing networks. Earthquakes will be broadcast within a few minutes for California events and within 30-minutes for world-wide events.
This dataset explores the gender of public agency children adopted in fiscal year 2006 by state in the USA.
This data explores special needs in adopted children's cases. In the child welfare field, the child characteristics included in the "special needs" category are determined by the State child welfare agency. They always include having a disability and frequently include membership in a sibling or minority group, or older age. ** data from Colorado, Indiana, Iowa, Maryland and Washington are questionable due to the large percentage of missing data.
This dataset displays Reported Industrial Facility Waste Management by state in the USA for 2003. The state fact sheets summarize the basic Toxics Release Inventory (TRI) data for each state from 2002. The TRI is a publicly available database containing information about releases and other waste management of toxic chemicals reported by industrial facilities. Each state fact sheet provides the following: * Reported Disposal or Other Releases and Other Waste Management Activities: o Transfers Off-site for Further Waste Management: Amounts of TRI chemicals sent off-site for further waste management recycling, energy recovery, treatment, POTWs, or for disposal or other releases. For amounts transferred to POTWs, metals and metal category compounds are identified separately from non-metals.
The poly shapefile is based on HRSA of DHHS data from 2008. It shows the lower 48 state counties which have parts/areas that are medically underserved. The original data is by such parts/areas within each county. However,since there is no geographic boundary file for such areas, the such areas were combined and the data was aggreageted/averaged to create a county level boundary file. The counties with the most number of medically uderserved areas are: 1. Los Angeles, CA (705 medically underseved areas) 2. Cook County, IL (435 medically underserved ares) 3. Kings County, NY (319 medically underserved areas) 4. Wayne County, MI (292 medically underserved areas) 5. Harris County, TX (244 medically underserved areas)
The poly shapefile is a subset of data that was derived from HRSA data that shows medically underserved ares within each county. Out of nearly 2,650 counties with such areas, there are _only_ 96 counties that have areas that have incomes that are below the poverty level. The top five counties that are medically underserved and are poor are: 1. Radford, VA (52.7% pop below poverty level) 2. Autauga, AL (51.3% pop below poverty level) 3. Baldwin county, AL (50.2% pop below poverty level) 4. Washington D.C., (41.5% pop below poverty level) 5. Montgomery County, VA (40.4% pop below poverty level)
The point shapefile shows locations of the critical care hospitals in the lower 48 states compiled from Health Resource and Service Administration (HRSA) of Dept. of HHS, dataset. There are over 8000 records that have name, address, telephone numbers (where listed) and also number of certified and toal hospital beds available at these hospitals.
The point shapefile shows outpatient surgical centers data from HRSA (Health Resources and Services Admin) of the US Dept of HHS. The data includes location address, telephone number as well as the number of operating rooms in the center.
This dataset contains information on payphones by state for the year 2005. The data was extracted from the following report: http://hraunfoss.fcc.gov/edocs_public/attachmatch/DOC-270407A1.pdf The raw data in Table 7.5 was provided by National Payphone Clearinghouse and roll up analysis by the Industry Analysis and Technology Division staff, Wireline Competition Bureau. I have also calculated per capita payphones using the U.S. Census Estimates of state population for 2005.
This dataset contains information on payphones by state for the year 2006. The data was extracted from the following report: http://hraunfoss.fcc.gov/edocs_public/attachmatch/DOC-270407A1.pdf The raw data in Table 7.5 was provided by National Payphone Clearinghouse and roll up analysis by the Industry Analysis and Technology Division staff, Wireline Competition Bureau. I have also calculated per capita payphones using the U.S. Census Estimates of state population for 2006.
This dataset contains information on the percent change in payphones by state between 2005 and 2006. The data was extracted from the following report: http://hraunfoss.fcc.gov/edocs_public/attachmatch/DOC-270407A1.pdf The raw data in Table 7.5 that was used to compute changes was provided by National Payphone Clearinghouse and roll up analysis by the Industry Analysis and Technology Division staff, Wireline Competition Bureau.
This data includes information on the percentage of residential end-user premises with access to high-speed services - specifically, cable modem availability where cable systems offer cable TV service. The percentages are as on June 30, 2006. States not included in the dataset did not report to maintain firm confidentiality. Original Source: Industry Analysis and Technology Division, Wireline Competition Bureau, High-Speed Services for Internet Access: Status as of June 30, 2006 (January 2007).
This data includes information on the percentage of residential end-user premises with access to high-speed services - specifically, xDSL availability where ILECs offer local telephone service. The percentages are as on June 30, 2006. States not included in the dataset did not report to maintain firm confidentiality. Original Source: Industry Analysis and Technology Division, Wireline Competition Bureau, High-Speed Services for Internet Access: Status as of June 30, 2006 (January 2007).
This data reports the number of ADSL high-peed lines by state as of June 30, 2006 (Over 200 kbps in at least one direction. I have also calculated per capita equivalents using U.S. Census estimates of population for 2006. The figures on high-speed lines come from Table 2.6 from the URL link below. Original Source: Industry Analysis and Technology Division, Wireline Competition Bureau, High-Speed Services for Internet Access: Status as of June 30, 2006 (January 2007). States with no data withheld information for confidentiality reasons.
This data reports the number of Cable Modem high-speed lines by state as of June 30, 2006 (Over 200 kbps in at least one direction. I have also calculated per capita equivalents using U.S. Census estimates of population for 2006. The figures on high-speed lines come from Table 2.6 from the URL link below. Original Source: Industry Analysis and Technology Division, Wireline Competition Bureau, High-Speed Services for Internet Access: Status as of June 30, 2006 (January 2007). States with no data withheld information for confidentiality reasons.
This data reports the number of fiber optic cable high-speed lines by state as of June 30, 2006 (Over 200 kbps in at least one direction. I have also calculated per capita equivalents using U.S. Census estimates of population for 2006. The figures on high-speed lines come from Table 2.6 from the URL link below. Original Source: Industry Analysis and Technology Division, Wireline Competition Bureau, High-Speed Services for Internet Access: Status as of June 30, 2006 (January 2007). States with no data withheld information for confidentiality reasons.
This data reports the number of Fixed Wireless high-speed lines by state as of June 30, 2006 (Over 200 kbps in at least one direction. I have also calculated per capita equivalents using U.S. Census estimates of population for 2006. The figures on high-speed lines come from Table 2.6 from the URL link below. Original Source: Industry Analysis and Technology Division, Wireline Competition Bureau, High-Speed Services for Internet Access: Status as of June 30, 2006 (January 2007). States with no data withheld information for confidentiality reasons.
This data reports the number of Wireline high-speed lines by state as of June 30, 2006 (Over 200 kbps in at least one direction. I have also calculated per capita equivalents using U.S. Census estimates of population for 2006. The figures on high-speed lines come from Table 2.6 from the URL link below. Original Source: Industry Analysis and Technology Division, Wireline Competition Bureau, High-Speed Services for Internet Access: Status as of June 30, 2006 (January 2007). States with no data withheld information for confidentiality reasons.
This data is total high speed lines (Over 200 kbps in at least one direction)by state for the years 2002 through 2007 (month of June) The information was extracted from Table 10 in the report in the URL link below. I have also calculated per capita high speed lines for each year using U.S. Census estimates of population for 2002-2007.
This data reports mobile wireless phone subscriptions by state for the years 2000 through 2007 and number of carriers and percent resold for June 2006. -9999 indicates missing data. The data was extracted from Table 11.2 in the report in the URL link below. I have also computed per capita subscriptions using U.S. Census Estimates of populationf for 2000-2006.
This data is total end-user switched access lines served by reporting local exchange carriers - ILECs, CLECs, total for the two and share of total that is CLEC. The data was extracted from Table 8.5 in the report in the URL link below. Original Source: Industry Analysis and Technology Division, Wireline Competition Bureau, Local Telephone Competition: Status as of June 30, 2006 (January 2007).
This is number of high speed lines by type of end user - business versus residential by state as of June 2007. I also calculated the shares for each. The data was extracted from Table 13 in the report in the URL link below.
This dataset gives the state shares of Internet crime complainents in the U.S. The data was extracted from the 2007 Internet Crime Report prepared by the National White Collar Crime Center, the Bureau of Justice Assistance and FBI. Further details are provide in the report (see URL link below)
This dataset gives the state shares of Internet perpetrators in the U.S. The data was extracted from the 2007 Internet Crime Report prepared by the National White Collar Crime Center, the Bureau of Justice Assistance and FBI. Further details are provide in the report (see URL link below)
This datasets displays the locations of all recorded earthquakes of a magnitude of 1 or greater around the world from the period of 5.20.08 to 5.27.08. The findings are from the US Geological Survey (USGS). Earthquake information is extracted from a merged catalog of earthquakes located by the USGS and contributing networks. Earthquakes will be broadcast within a few minutes for California events and within 30-minutes for world-wide events.
This coverage represents year MODIS fire detections for the 7 day period specified for the geographic area covering the conterminous United States, Alaska, Hawaii, Canada and northern Mexico. The detections are obtained using both TERRA MODIS and AQUA MODIS data are collected and processed as a cooperative effort between the USDA Forest Service Remote Sensing Application Center, NASA-Goddard Space Flight Center and the University of Maryland. These fire detection data are collected for the USDA Forest Service MODIS Active Fire Mapping Program (http://activefiremaps.fs.fed.us). These data are intended to provide a synoptic view of active fires for the past and present over the specified time period. These data are collected at a spatial resolution of 1 kilometer and therefore are only intended for geographic display and analysis at the national and regional levels. No responsibility is assumed by the USDA Forest Service in the use of these data.
This dataset displays Reported Industrial Facility Waste Management by state in the USA for 2002. The state fact sheets summarize the basic Toxics Release Inventory (TRI) data for each state from 2002. The TRI is a publicly available database containing information about releases and other waste management of toxic chemicals reported by industrial facilities. Each state fact sheet provides the following: * Reported Disposal or Other Releases and Other Waste Management Activities: o Transfers Off-site for Further Waste Management: Amounts of TRI chemicals sent off-site for further waste management recycling, energy recovery, treatment, POTWs, or for disposal or other releases. For amounts transferred to POTWs, metals and metal category compounds are identified separately from non-metals.
Abstract: This data file contains information on the 64 Armories for NYS. The file contents are as follows: Shape (point) Type (Armory) City (Which is the location name of the armory.) Street Address Purpose: To provide the accurate location information for every armory in NYS. Citation_Information: Originator: NYS Division of Military and Naval Affairs Publication_Date: Title: New York State Armories Edition: Geospatial_Data_Presentation_Form: map Publication_Information: Publication_Place: Latham, NY Publisher: NYS Division of Military and Naval Affairs Online_Linkage: http://www.nysgis.state.ny.us/gis9/armories.zip
Ozone (O3) is a photochemical oxidant and the major component of smog. While O3 in the upper atmosphere is beneficial to life by shielding the earth from harmful ultraviolet radiation from the sun, high concentrations of O3 at ground level are a major health and environmental concern. The reactivity of O3 causes health problems because it damages lung tissue, reduces lung function and sensitizes the lungs to other irritants. Scientific evidence indicates that ambient levels of O3 not only affect people with impaired respiratory systems, such as asthmatics, but healthy adults and children as well. Title 40, Part 50 of the Code of the Federal Regulations lists the ambient air quality standards for ozone. Research and Innovative Technology Administration's Bureau of Transportation Statistics (RITA/BTS) Originator: Federal Highway Administration, Office of Planning, HEPP-1 Publication_Date: 2006 Title: Non-Attainment Areas: Ozone Geospatial_Data_Presentation_Form: vector digital data Publication_Information: Publication_Place: Washington, DC Publisher: Research and Innovative Technology Administration's Bureau of Transportation Statistics (RITA/BTS) Online_Linkage: Abstract: Non-attainment and maintenance areas for the United States and its territories. For more detailed information on this dataset, see the Overview Description in the Entity Attribute section of this document. Purpose: To establish the spatial boundaries of each nonattainment and maintenance area.
This dataset provides information about 2007 Endowment figures across Colleges and Universities in the World (mainly in the United States). The Study was conducted by NACUBO. Results are also listed for 2006 and percentage change has also been listed between the two years. Locations are mapped by the lat/lon coordinates of the institution. More information on the study can be found at http://www.nacubo.org/ The National Endowment Study is the largest and longest running annual survey studying the endowment holdings of higher education institutions and their foundations. Information is collected and calculated on behalf of NACUBO by TIAA-CREF. Seven hundred and eighty-five (785) institutions in the United States and Canada participated in the 2007 NES, which is the largest number in the 35-year history of the study and the seventh consecutive year of record-breaking participation since NACUBO began its partnership with TIAA-CREF in 2000. NACUBO, (National Association of College and University Business Officers) founded in 1962, is a nonprofit professional organization representing chief administrative and financial officers at more than 2,100 colleges and universities across the country. NACUBOs mission is to promote sound management and financial practices at colleges and universities. Data was accessed on 1/23/2008 http://www.nacubo.org/Images/All%20Institutions%20Listed%20by%20FY%202007%20Market%20Value%20of%20Endowment%20Assets_2007%20NES.pdf
This dataset shows boundaries for urban areas with a population greater than 50,000 within United States in states where the Appalachian Trail passes though and the District of Columbia. The information used to create this data was from the Bureau of Transportation Statistics. This data was released in April 2002 and was found on-line at the Appalachian Trail Conservatory in Shape file format. This polygon data may be used to provide information about the locations, names, and urban codes of urbanized areas primarily to aid with planning and development.
Abstract: Quality of life information is one of the factors taken into consideration when a business is deciding where to expand or relocate. The Virginia Economic Development Partnership has developed a golf course data layer to use while assisting businesses during this decision making process. The list Citation_Information: Originator: Virginia Economic Development Partnership Publication_Date: 20021001 Title: Golf Courses in Virginia Geospatial_Data_Presentation_Form: vector digital data Other_Citation_Details: None Online_Linkage: Online_Linkage: of golf courses originally came from the 2001 Virginia Golf Course directory published by the Virginia Tourism Corporation in association with the Virginia State Golf Association (VSGA). Since that time, the list of courses has been updated using new directories as well as various websites including , , , and . The final product includes boundaries (polygons) and points for public, private, semi-private, resort, and military golf courses in Virginia. The boundaries and points were originally located by geocoding street addresses and verifying and correcting the result using USGS DOQs (1994-1998) and SPOT satellite imagery (2001). Other sources for boundaries included the Virginia Atlas and Gazetteer and ADC street map books. The golf course locations were corrected in 2003 to match the Virginia Base Mapping Program imagery (VBMP), and all updates since that time have been based on the VBMP as well. Purpose: The purpose of this data is to provide a geographic representation of the location of each golf course for tourism and economic development. This data is also used in landuse classification projects. Accessed through: http://gis.vedp.org/data_search.aspx Access to metadata: http://gis.vedp.org/meta/golf_meta.htm Accessed On January 24, 2008.
The map is based on data from the Tennessee Secretary of State's Division of Elections. It shows the number of registered voters as of 1st Dec, 2007. The release date for this data is 22nd January, 2008. This data is combined with demographics data for 2005, which includes population by race and sex. In 2005, Tennessee male population was nearly 2.77 million, and female population was 2.919 million. The white population was 4.65 million as opposed to black population of nearly 933 thousand. The total number of registered voters are 3,694,559.
This dataset shows worker arrival time. The information is mapped according to place of work. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Tables.asp.
Cabelas is a specialty retailer of hunting, fishing, camping and related outdoor recreation merchandise based in Sidney, NE. It uses catalogs, the Internet, and has 26 retail stores throughout the United States. This dataset maps the 26 Cabelas retail stores. The physical address and phone numbers were retrieved from cabelas.com and the address was then geocoded to find the exact lat/lon of the store's location. The data is current as of 12.2007. Several more stores are being planned to open in the future. These sites can be seen on another dataset entitled, "Future Cabelas Store Locations 12.2007" For more info, go to cabelas.com Data accessed on December 10th 2007 http://www.cabelas.com/cabelas/en/templates/community/aboutus/retail-stores.jsp
This dataset shows the classes of workers according to where they live. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Tables.asp.
HAZUS is an abbreviation for Hazards United States, and was developed by FEMA. The HAZUS dataset was designed to estimate the potential physical, economic and social losses during hazardous events such as flooding or earthquakes. To Measure the social impact of these events HAZUS includes detailed demographic data for the United States. This dataset pulls out the housing and real estate data from the demographic files, at the census block level for the New Hampshire section of the Boston, MA Metropolitan Statistic Area (MSA). Data attributes for housing include owner occupied single family units, owner occupied multi-family units, renter occupied single family units, vacant single family units along with others. Demographics data was recent as of May 2006. Source: http://www.fema.gov/plan/prevent/hazus/index.shtm
This dataset illustrates the largest difference between high and low temperatures and the smallest difference between high and low temperatures in cities with 50,000 people or more. A value of -1 means that the data was not applicable. Also included are the rankings, the inverse ranking to be used for mapping purposes, the popualtion, the name of city and state, and the temperature degree difference. Source City-Data URL http//www.city-data.com/top2/c489.html http//www.city-data.com/top2/c490.html Date Accessed November 13,2007
The poly shapefile based on CDC's National Center on Birth Defects and Developmental Disabilities (NCBDDD) 2005 report show data of percent children 4 to 17 who have been ever diagnosed with ADHD and also percent children from same age group who are undergoing medical treatment. The data is at state level.
HAZUS is an abbreviation for Hazards United States, and was developed by FEMA. The HAZUS dataset was designed to estimate the potential physical, economic and social losses during hazardous events such as flooding or earthquakes. To measure the social impact of these events, HAZUS includes detailed demographic data for the United States. This dataset pulls out the residential data from the demographic files, at the census block level for the Wisconsin section of the Minneapolis Minnesota Metropolitan Statistic Area (MSA). Data attributes include population group quarters, school enrollment, population commuting at 5 pm, population in hotels, visiting populations, population residing by day or night, and others. Demographics data was recent as of May 2006. Source: http://www.fema.gov/plan/prevent/hazus/index.shtm
Defendants charged with trafficking/possession of methamphetamine. The map is based on reports released by the U.S. Sentencing Commission in 2006
This map displays defendants charged with trafficking/possession of powdered cocaine. The map is based on reports released by the U.S. Sentencing Commission in 2006. 11/2007 http://www.ussc.gov/
This dataset provides information about duly sworn city, university and college, county, state, tribal, and federal law enforcement officers who were accidentally killed in the line of duty from 1997-2006 in the USA. More non-geographic statistics about these fatalities can be found at http://www.fbi.gov/ucr/killed/2006/accidentallykilled.html http://www.fbi.gov/ucr/killed/2006/table46.html
This data reports Internet crime perpetrators per capita (per 100,000 people) by State for 2007. The data was extracted from the 2007 Internet Crime Report prepared by The National White Collar Crime Center, the Bureau of Justice Assistance, FBI. Further details provided in the link to the report in the URL below.
The map is based on the U.S. Sentence Commission reports for the year 2006. The map has data for the number of defendents charged with either trafficking or possessing marijuana.
This dataset provides information about duly sworn city, university and college, county, state, tribal, and federal law enforcement officers who were accidentally killed in the line of duty from 1997-2006 in the Northeast. More non-geographic statistics about these fatalities can be found at http://www.fbi.gov/ucr/killed/2006/accidentallykilled.html http://www.fbi.gov/ucr/killed/2006/table46.html
This dataset provides information about duly sworn city, university and college, county, state, tribal, and federal law enforcement officers who were accidentally killed in the line of duty from 1997-2006 in the Midwest. More non-geographic statistics about these fatalities can be found at http://www.fbi.gov/ucr/killed/2006/accidentallykilled.html http://www.fbi.gov/ucr/killed/2006/table46.html
This dataset provides information about duly sworn city, university and college, county, state, tribal, and federal law enforcement officers who were feloniously killed in the line of duty from 1997-2006 in the entire United States. More non-geographic statistics about these fatalities can be found at http://www.fbi.gov/ucr/killed/2006/feloniouslykilled.html note: Data from the past 10 years do not include the officers who died as a result of the events of September 11, 2001. http://www.fbi.gov/ucr/killed/2006/table1.html
This dataset provides information about duly sworn city, university and college, county, state, tribal, and federal law enforcement officers who were feloniously killed in the line of duty from 1997-2006 in the South. More non-geographic statistics about these fatalities can be found at http://www.fbi.gov/ucr/killed/2006/feloniouslykilled.html note: Data from the past 10 years do not include the officers who died as a result of the events of September 11, 2001. http://www.fbi.gov/ucr/killed/2006/table1.html
The U.S. can safely claim the title for most plastic surgeries. Americans had 90,992 plastic surgery operations, followed not so closely by Mexicans with 52,956. Also included in this dataset are per capita statistics, where Switzerland comes out on top with 215 surgeries per 100,000 people. Source: NationMaster.com http://www.nationmaster.com/graph/hea_pla_sur_pro_percap-plastic-surgery-procedures-per-capita Accessed 11.13.07 Original data was found at International Society of Aesthetic Plastic Surgery.
This dataset explores Total and current expenditures per pupil in fall enrollment in public elementary and secondary education, by function and state 2003 - 2004. NOTE: Excludes expenditures for state education agencies. "0" indicates none or less than $0.50. Some data have been revised from previously published figures. Detail may not sum to totals because of rounding. SOURCE: U.S. Department of Education, National Center for Education Statistics, Common Core of Data (CCD), "National Public Education Financial Survey," 200304. (This table was prepared August 2006.) http://nces.ed.gov/programs/digest/d06/tables/dt06_168.asp Accessed on 12 November 2007
This dataset explores Total and current expenditures per pupil in fall enrollment in public elementary and secondary education, by function and state: 2002 - 2003 NOTE: Excludes expenditures for state education agencies. "0" indicates none or less than $0.50. Some data have been revised from previously published figures. Detail may not sum to totals because of rounding. SOURCE: U.S. Department of Education, National Center for Education Statistics, Common Core of Data (CCD), "National Public Education Financial Survey," 2002-03. (This table was prepared August 2006.) http://nces.ed.gov/programs/digest/d06/tables/dt06_169.asp accessed on 12 November 2007
This dataset explores Current expenditure per pupil in average daily attendance in public elementary and secondary schools, by state -- Selected years, 1959-60 through 2003-04 * Note - data is in unadjusted dollars http://nces.ed.gov/programs/digest/d06/tables/dt06_171.asp Accessed on 12 November 2007
This dataset displays building permit statistics on an state and metropolitan area level. The data is provided on an annual basis. The data is scaled to the thousands. This data was collected from the National Association of Home Builders' Webpage at: http://www.nahb.org/reference_list.aspx?pageNumber=1&pageSize=0§ionID=130 Access Date: November 13, 2007 NOTES: Metropolitan areas marked with an asterisk ( * ) are areas where all permit offices are requested to report monthly. ** Office of Management and Budget (OMB) revised the metropolitan classification system in June of 2003. ~Year total includes data revisions that are not captured by the monthly year-to-date (YTD) data and, for some metropolitan areas, localities that only report on an annual basis.
This dataset explores Full-time-equivalent (FTE) fall enrollment in degree-granting institutions, by control and state - Selected years, 1980 through 2005 NOTE: Data through 1990 are for institutions of higher education, while later data are for degree-granting institutions. Degree-granting institutions grant associate's or higher degrees and participate in Title IV federal financial aid programs. The degree-granting classification is very similar to the earlier higher education classification, but it includes more 2-year colleges and excludes a few higher education institutions that did not grant degrees. (See Guide to Sources for details.) SOURCE: U.S. Department of Education, National Center for Education Statistics, Higher Education General Information Survey (HEGIS), "Fall Enrollment in Colleges and Universities" 1980 survey; and 1990 through 2005 Integrated Postsecondary Education Data System, "Fall Enrollment Survey" (IPEDS-EF:90), and Spring 2001 through Spring 2006. (This table was prepared August 2006.) http://nces.ed.gov/programs/digest/d06/tables/dt06_206.asp Accessed on 12 November 2007
This dataset explores Residence and migration of all freshmen students in degree-granting institutions, by state: Fall 2004 NOTE: Includes all first-time postsecondary students enrolled at reporting institutions. Degree-granting institutions grant associate's or higher degrees and participate in Title IV federal financial aid programs. SOURCE: U.S. Department of Education, National Center for Education Statistics, Integrated Postsecondary Education Data System (IPEDS), Spring 2005. (This table was prepared September 2005.) http://nces.ed.gov/programs/digest/d06/tables/dt06_207.asp Accessed on 12 November 2007
The map is based on the U.S. Sentence Commission reports for the year 2006. The map has data for the number of defendants charged with either trafficking or possessing crack cocaine in United States District Courts. 11/2007 http://www.ussc.gov/
This dataset displays the Top Power Dining Spots in the World. The list comes from Forbes.com for the year 2007. These are the restaurants were the most powerful people come to dine. From CEO's to past Presidents, you will be in refined company when you take a seat at any of these establishments. So if you are of the elite in the world and want to dine with the rich and powerful try one of these Ten Power Dining Spots. http://www.forbes.com/wineandfood/2007/05/21/restaurant-dining-power-forbeslife-cx_pl_0522powerdining.html
This dataset displays the Blood Alcohol Concentration (BAC) of the driver for all fatal traffic accidents in 2006. The data is divided on a state level, and was collected from the Fatality Analysis Reporting System at: http://www-fars.nhtsa.dot.gov/States/StatesAlcohol.aspx Access Date: November 16, 2007
This data is based on US Census bureaus series on Manufacturing, Mining and Construction Statistics Source: www.census.gov/const/www/
This dataset displays the Pedestrian fatality rates for the United States on a state level. An Inverse ranking is used to display the highest values to the rankings. This dataset was collected from the fatality analysis reporting system at: http://www-fars.nhtsa.dot.gov/States/StatesPedestrians.aspx Date: November 12, 2007
This dataset displays the number of persons killed in traffic accidents by state in 2006. This dataset also displays the Blood Alcohol Concentration (BAC) of those involved in the accident. Each category is broken down into the number of and percentage of the total accidents in 2006. This data was collected from the Fatality Analysis Reporting System at: http://www-fars.nhtsa.dot.gov/States/StatesAlcohol.aspx Access date: November 13, 2007 California and Florida lead the nation in total killed, while DC holds the least amount of persons killed.
This dataset explore the Residence and migration of all freshmen students in degree-granting institutions who graduated from high school in the previous 12 months, by state: Fall 2004 NOTE: Includes all first-time postsecondary students enrolled at reporting institutions. Degree-granting institutions grant associate's or higher degrees and participate in Title IV federal financial aid programs. SOURCE: U.S. Department of Education, National Center for Education Statistics, Integrated Postsecondary Education Data System (IPEDS), Spring 2005. (This table was prepared September 2005.) http://nces.ed.gov/programs/digest/d06/tables/dt06_208.asp Accessed on 12 November 2007
This dataset explores residence and migration of all freshmen students in 4-year degree-granting institutions who graduated from high school in the previous 12 months, by state for Fall 2004 NOTE: Includes all first-time postsecondary students enrolled at reporting institutions. Degree-granting institutions grant associate's or higher degrees and participate in Title IV federal financial aid programs. SOURCE: U.S. Department of Education, National Center for Education Statistics, Integrated Postsecondary Education Data System (IPEDS), Spring 2005. (This table was prepared September 2005.) http://nces.ed.gov/programs/digest/d06/tables/dt06_209.asp Accessed on 11 November 2007
This dataset shows school district expenditures. It is derived from US Census bureau's Public Elementary-Secondary Education Finance data for year 2004. It breaks down spending per student by expenditure on staff salaries and benefits, monies spent on general administration and other support services. Source: http://www.census.gov/www/school04.html Note: Value of zero indicates no data
This is a compilation of the lat/longs of Alaska campgrounds and RV parks. There is one for each state. The source is Campusa.com
The map is a based on Census demographics data at block level and fire hazard zones indentified by LANDFIRE (Landscape Fire and Resource Management Planning Tools Project), part of US Forest Service of Interior Dept. The data from LANDFIRE was cross tabulated with Census demographics at block level to produce this map.
The map is a based on Census demographics data at block level and fire hazard zones indentified by LANDFIRE (Landscape Fire and Resource Management Planning Tools Project), part of US Forest Service of Interior Dept. The data from LANDFIRE was cross tabulated with Census demographics at block level to produce this map.
This dataset shows the classes of workers according to where they live. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1338.
The map is a based on Census demographics data at block level and fire hazard zones indentified by LANDFIRE (Landscape Fire and Resource Management Planning Tools Project), part of US Forest Service of Interior Dept. The data from LANDFIRE was cross tabulated with Census demographics at block level to produce this map.
This dataset shows the incomes of people reporting from their job location. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level.
The map is a based on Census demographics data at block level and fire hazard zones indentified by LANDFIRE (Landscape Fire and Resource Management Planning Tools Project), part of US Forest Service of Interior Dept. The data from LANDFIRE was cross tabulated with Census demographics at block level to produce this map.
This dataset displays the current-dollar GDP by US state. The period covered includes 2003-2006. Posted for each state and year is the state GDP in millions of dollars and the percent of US total GDP. This data was collected from the Bureau of Economic Analysis at their web page at: http://www.bea.gov/newsreleases/regional/gdp_state/gsp_newsrelease.htm Access Date: October 29, 2007
This dataset illustrates the number of wild animals with negative results for rabies, by country, from 1988 to 2006. A value of -1 means that no data was available. Source: World Health Organization URL: http://www.who.int/globalatlas/dataQuery/default.asp Date Accessed: October 24, 2007
This dataset shows the number of workers in 15 categories of industry. The information is mapped according to place of work. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1344.
This dataset shows the type of transportation people use to go to work. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1338.
This dataset illustrates the number of wild animals with positive results for rabies, by country, from 1988 to 2006. A value of -1 means that no data was available. Source: World Health Organization URL: http://www.who.int/globalatlas/dataQuery/default.asp Date Accessed: October 24, 2007
This dataset shows the number of workers in 25 categories of occupation. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1338.
This data set illustrates the Rabies presence by country from 1987 to 2006. The values represented are (1) for present, (0) not present, and (-1) no data available. Source: World Health Organization URL: http://www.who.int/globalatlas/dataQuery/reportData.asp?rptType=1 Date Accessed: October 24, 2007
This dataset shows length of US residence and worker earnings in 1999. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1339.
This dataset shows the classes of workers according to where they live. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1338.
This is a list of structures that have been lost during the Wildfires in San Diego. This list was compiled by SignOnSanDiego/Union-Tribune staff and is not an official listing of structures lost.this list contains 438 structures which have been destroyed. Source URL: http://www.signonsandiego.com/firemap/structuresburned.html
This dataset shows the incomes of residents. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1338.
This dataset shows the type of transportation people use to go to work. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1338.
This dataset shows the origin and race of residents. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1341.
This dataset shows the incomes of residents. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1338.
This dataset shows the number of workers in 25 categories of occupation. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1338.
This dataset shows the means of transportation to work reported by females. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1338.
This dataset shows the origin and race of residents. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1341.
This dataset shows the type of transportation people use to go to work. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level.
This dataset shows the number of workers in 25 categories of occupation. The information is mapped according to place of work. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level.
This data set illustrates the trade of fish and fisheries in quantity and value of exports as well as quantity and value in imports. A value of -1 means that no data was present. Source: http://earthtrends.wri.org/searchable_db/index.php?step=countries&ccID%5B%5D=0&allcountries=checkbox&theme=1&variable_ID=2295&action=select_years http://earthtrends.wri.org/searchable_db/index.php?step=countries&ccID%5B%5D=0&allcountries=checkbox&theme=1&variable_ID=2296&action=select_years http://earthtrends.wri.org/searchable_db/index.php?step=countries&ccID%5B%5D=0&allcountries=checkbox&theme=1&variable_ID=2297&action=select_years http://earthtrends.wri.org/searchable_db/index.php?step=countries&ccID%5B%5D=0&allcountries=checkbox&theme=1&variable_ID=2296&action=select_years September 28, 2007
This dataset includes historical shark attacks by territory. It is a simplified version of the large database of shark attacks created by The Global Shark Attack File. About GASF: The Global Shark Attack File was created to provide medical personnel, shark behaviorists, lifesavers, and the media with meaningful information resulting from the scientific forensic examination of shark accidents. Whenever possible, GSAF investigators conduct personal interviews with patients and witnesses, medical personnel and other professionals, and conduct examinations of the incident site. Weather and sea conditions and environmental data are evaluated in an attempt to identify factors that contributed to the incident. Source: http://www.sharkattackfile.net/incidentlog.htm Accessed: 9.27.07
This data set illustrates the production of aquatic plants, crustaceans, diadromous fish, freshwater fish, marine fish, and molluscs. A value of -1 means that no data was present. Source: http://earthtrends.wri.org/searchable_db/index.php?step=countries&ccID%5B%5D=0&allcountries=checkbox&theme=1&variable_ID=36&action=select_years http://earthtrends.wri.org/searchable_db/index.php?step=countries&ccID%5B%5D=0&allcountries=checkbox&theme=1&variable_ID=34&action=select_years http://earthtrends.wri.org/searchable_db/index.php?step=countries&ccID%5B%5D=0&allcountries=checkbox&theme=1&variable_ID=32&action=select_years http://earthtrends.wri.org/searchable_db/index.php?step=countries&ccID%5B%5D=0&allcountries=checkbox&theme=1&variable_ID=830&action=select_years http://earthtrends.wri.org/searchable_db/index.php?step=countries&ccID%5B%5D=0&allcountries=checkbox&theme=1&variable_ID=831&action=select_years http://earthtrends.wri.org/searchable_db/index.php?step=countries&ccID%5B%5D=0&allcountries=checkbox&theme=1&variable_ID=40&action=select_years September 27, 2007
The map shows Iraq war fatality counts by cities. It is based on the data compiled by Iraq Coalition Casualty Count organization (http://icasualties.org/oif/). Here is a link to read about how they collect the data http://icasualties.org/oif/Methodology.aspx
Check out where the United States Speakers of the House of Representatives have been born! Data Source: http://www.lonympics.co.uk/new/birthplaceofPresidentsUSA.htm#President Accessed on 27 Sept. 2007
This dataset shows all the ice rinks in Rhode Island Geocoded by latitude and longitude. Using X and Y coordinates. Data source : http://www.arenamaps.com/arenas/RhodeIsland.htm
This Dataset highlights and geocodes the estimated shopping mall sales by state. This data provided by the National Research Bureau, 2005, and was collected through http://www.statemaster.com/graph/lif_sho_mal_est_sal-lifestyle-shopping-malls-estimated-sales
This maps the number of AIDS cases reporte from 1998 to 2004 and the number of cases reported in 2004, as well as the 2004 rate (in cases per 100,000) and the prevalance at the end of 2004, mapped by select metropolitan statistical areas in the United States. Data obtained from CDC STD surveillance report Data URL: http://www.cdc.gov/hiv/topics/surveillance/resources/reports/2006supp_vol12no2/pdf/HIVAIDS_SSR_Vol12_No2.pdf
The map is based on Bureau of Justice Statistic (BJS) annual statistic on prison population. It was combined with the annual population estimates from Census to compute female prisoners per 100k population. The top 10 states with largest male prison population per 100k in 2004 are Delaware, Oklahoma, Texas, Mississippi, Louisiana, Montana, Arizona, Idaho, Missouri, Connecticut. Compared to top ten states for Male prisoners, which are all in south, the top 10 female prisoner states do not show geographic concentration. Data for Wash. DC is not reported, according to BJS, the "responsibility for felons was transferred to the Federal Bureau of Prisons". Only those female prisoners with one or more years of sentence are included. Source for parole data: Data source: BJS, National Prisoner Statistics data series (NPS-1) URL: http://www.ojp.usdoj.gov/bjs/data
Aquaculture is defined by FAO as "the farming of aquatic organisms". Farming implies some form of intervention in the rearing process to enhance production, such as regular stocking, feeding, protection from predators, etc. Farming also implies individual or corporate ownership of the stock being cultivated. For statistical purposes, aquatic organisms which are harvested by an individual or corporate body which has owned them throughout their rearing period contribute to aquaculture while aquatic organisms which are exploitable by the public as a common property resource, with or without appropriate licenses, are the harvest of fisheries. Production of fish, crustaceans and molluscs is expressed in live weight, that is the nominal weight of the aquatic organisms at the time of capture. The harvest of aquatic plants is given in wet weight. Fish, crustaceans, molluscs and all other aquatic organisms included in the database have been classified according to approximately 350 commercial species items, further arranged within the 50 groups of species constituting the nine divisions of the FAO International Standard Statistical Class Online resource: http://geodata.grid.unep.ch URL original source: http://www.fao.org/fi/statist/fisoft/fishplus.asp
The map data is derived from the United Nations Environment Programme (UNEP) for the years ranging from 1958-2000. The map shows the concentration of water withdrawal as a percentage of the total renewable water resources. UNEP defines renewable resources as that of "total resources that are offered by the average annual natural inflow and runoff that feed each hydrosystem (catchment area or aquifer)." Online resource: http://geodata.grid.unep.ch URL original source: http://www.fao.org/ag/agl/aglw/aquastat/dbase/index.htm
The map data is derived from the United Nations Environment Programme (UNEP) for 1960 to 2005. The map shows the concentration of the total percent of the total population that is considered urban population within each country. "Total population residing in urban areas. Because of national differences in the characteristics that distinguish urban from rural areas, the distinction between urban and rural population is not amenable to a single definition that would be applicable to all countries. National definitions are most commonly based on size of locality. Population which is not urban is considered rural." Online resource: http://geodata.grid.unep.ch URL original source: http://www.un.org/esa/population/unpop.htm
This data set illustrates New Jersey Bridges as found from the USGS. Source: http://www.hometownlocator.com/State/DisplayStateFeatures.cfm?FeatureType=bridge&StateCode=NJ&StartRow=27 September 27, 2007
This dataset shows the locations based on street addresses of all of the Ice Rinks in the State of Utah. The raw data was geocoded from its original source at: http://www.arenamaps.com/arenas/Utah.htm
The map data is derived from the United Nations Environment Programme (UNEP) for the years ranging from 1990 to 2003. The map shows the concentration of the total number of reported malaria cases by country measured in the total number per 100,000 population. Facts about Malaria, from UNEP: "There are over 40 species of anopheline mosquitoes that transmit human malaria, which differ in their transmission potential." "The most competent and efficient malaria vector, Anopheles gambiae, occurs exclusively in Africa and is also one of the most difficult to control." "Climatic conditions determine the presence or absence of anophelines vectors." "Tropical areas of the world have the best combination of adequate rainfall, temperature and humidity allowing for breeding and survival of anophelines." Online resource: http://geodata.grid.unep.ch URL original source: http://globalatlas.who.int/GlobalAtlas/DataQuery/browse.asp?catID=012800000000&lev=3
This data set illustrates the exports and imports, of values and quantities, of Roundwood. A value of -1 means that no data was available. Source: http://earthtrends.wri.org/searchable_db/index.php?step=countries&ccID%5B%5D=0&allcountries=checkbox&theme=9&variable_ID=332&action=select_years http://earthtrends.wri.org/searchable_db/index.php?step=countries&ccID%5B%5D=0&allcountries=checkbox&theme=9&variable_ID=334&action=select_years http://earthtrends.wri.org/searchable_db/index.php?step=countries&ccID%5B%5D=0&allcountries=checkbox&theme=9&variable_ID=333&action=select_years http://earthtrends.wri.org/searchable_db/index.php?step=countries&ccID%5B%5D=0&allcountries=checkbox&theme=9&variable_ID=335&action=select_years September 27, 2007
This dataset shows the locations based on street addresses of all of the Ice Rinks in the State of Wyoming. The raw data was geodcoded from its original source at: http://www.arenamaps.com/arenas/Wyoming.htm
This data set illustrates the consumption, imports, and exports of paper and paperboard across the globe. The value of -100 means that no data was available. http://earthtrends.wri.org/searchable_db/index.php?step=countries&ccID%5B%5D=0&allcountries=checkbox&theme=9&variable_ID=571&action=select_years http://earthtrends.wri.org/searchable_db/index.php?step=countries&ccID%5B%5D=0&allcountries=checkbox&theme=9&variable_ID=573&action=select_years http://earthtrends.wri.org/searchable_db/index.php?step=countries&ccID%5B%5D=0&allcountries=checkbox&theme=9&variable_ID=569&action=select_years http://earthtrends.wri.org/searchable_db/index.php?step=countries&ccID%5B%5D=0&allcountries=checkbox&theme=9&variable_ID=568&action=select_years September 26, 2007
This data set illustrates the total forest area, the average annual percent, the net change, and the percent change of forests across the globe. http://earthtrends.wri.org/searchable_db/index.php?step=countries&ccID%5B%5D=0&allcountries=checkbox&theme=9&variable_ID=296&action=select_years http://earthtrends.wri.org/searchable_db/index.php?step=countries&ccID%5B%5D=0&allcountries=checkbox&theme=9&variable_ID=299&action=select_years http://earthtrends.wri.org/searchable_db/index.php?step=countries&ccID%5B%5D=0&allcountries=checkbox&theme=9&variable_ID=297&action=select_years http://earthtrends.wri.org/searchable_db/index.php?step=countries&ccID%5B%5D=0&allcountries=checkbox&theme=9&variable_ID=298&action=select_years September 26, 2007
he map is based on Federal Election Commission (FEC) report on political contributions. It shows locations of all those who have maxed out in their donations to support Obama's campaign for the primaries. Notice from FEC: Reports and statements filed by political committees may be inspected and copied by anyone. The names and addresses of individual contributors, however, may not be sold or used for any commercial purpose or to solicit any type of contribution or donation, such as political or charitable contributions. 2 U.S.C. 438(a)(4); 11 CFR 104.15. This restriction applies to Federal reports and statements. Any person who violates this restriction is subject to the penalties of 2 U.S.C. 437g.
This data set illustrates the protected and land area of sparse trees and parkland area. http://earthtrends.wri.org/searchable_db/index.php?step=countries&ccID%5B%5D=0&allcountries=checkbox&theme=9&variable_ID=324&action=select_years http://earthtrends.wri.org/searchable_db/index.php?step=countries&ccID%5B%5D=0&allcountries=checkbox&theme=9&variable_ID=325&action=select_years September 25, 2007
Sulfur dioxide is an air pollutant produced when fossil fuels containing sulfur are burned. It contributes to acid rain and can damage human health, particularly that of the young and the elderly. National figures only include data from UNFCCC Greenhouse Gas Inventory (GHG) Annex I Parties. These inventory data are provided in the national communications under the Convention by Annex I and non-Annex I Parties, and in addition Annex I Parties submit annual national greenhouse gas inventories. We use the category "National Total" from the GHG Database; this category does not include emissions resulting from fuel sold to ships or aircraft engaged in international transport (international bunker fuel emissions). Furthermore, the "National Total" does not include emissions from biomass burning or emissions or removals from the land-use change and forestry sector. Online resource: http://geodata.grid.unep.ch URL original source: http://ghg.unfccc.int/ Original data source uses a value of -9999 to indicate no data available, i have substituted a value of 0.
This data set illustrates the protected and total are of global non tropical forests. They are further defined as "Tropical forests included all forests located between the Tropics of Cancer and Capricorn. All other forests were put into the non-tropical categories. Montane forests within the tropics that were classified in the source maps as "temperate" were registered in the "tropical forests" categories in this study" (Earth Trends). http://earthtrends.wri.org/searchable_db/index.php?step=countries&ccID%5B%5D=0&allcountries=checkbox&theme=9&variable_ID=321&action=select_years http://earthtrends.wri.org/searchable_db/index.php?step=countries&ccID%5B%5D=0&allcountries=checkbox&theme=9&variable_ID=320&action=select_years September 25, 2007
This data set illustrates the Greyhound Bus terminals in Massachusetts, Maine, New Hampshire, and Vermont. http://www.greyhound.com/scripts/en/TicketCenter/locations.asp?state=me http://www.greyhound.com/scripts/en/TicketCenter/locations.asp?state=nh http://www.greyhound.com/scripts/en/TicketCenter/locations.asp?state=vt http://www.greyhound.com/scripts/en/TicketCenter/locations.asp?state=ma September 21, 2007
Looking for a hair-raising experience? Check out this dataset to see where you can find the most twists, turns, and death defying plunges. Source: http://www.ultimaterollercoaster.com/coasters/yellowpages/sort_location.mpl Accessed: 9.21.07
This data set illustrates the locations of the Greyhound Bus terminals in Arizona, Utah, Colorado, and New Mexico. http://www.greyhound.com/scripts/en/TicketCenter/locations.asp?state=az http://www.greyhound.com/scripts/en/TicketCenter/locations.asp?state=co http://www.greyhound.com/scripts/en/TicketCenter/locations.asp?state=ut http://www.greyhound.com/scripts/en/TicketCenter/locations.asp?state=nm September 21, 2007
This data set illustrates the Greyhound Bus terminals found in Alabama. http://www.greyhound.com/scripts/en/TicketCenter/locations.asp?state=al September 20, 2007
This data set illustrates the top 50 best places to eat in the world. http://www.theworlds50best.com/2007_list.html August 23, 2007
This data set illustrates the international paper and paperboard production from 1961 to 2005. This data is defined as "Paper and paperboard production is the amount of primary paper and paperboard produced, even though a portion of it may immediately be consumed in the production of another product" (Earth Trends). A value of -1 means that no data was available. http://earthtrends.wri.org/searchable_db/index.php?step=countries&ccID%5B%5D=0&allcountries=checkbox&theme=9&variable_ID=570&action=select_years September 19, 2007
This data set illustrates the number of active troops by active service, reserve force, paramilitary, total troops, and active troops per thousand people across the globe. http://en.wikipedia.org/wiki/List_of_countries_by_number_of_active_troops August 27, 2007
This data set illustrates the area of mixed forests, by square kilometers, around the world. It can be defined as "A mixed forest is dominated by trees with a percent canopy cover of greater than 60% and height exceeding 2 meters. It consists of tree communities with interspersed mixtures or mosaics of the other four forest cover types. None of the forest types exceeds 60% of landscape" (Earth Trends). http://earthtrends.wri.org/searchable_db/index.php?step=countries&ccID%5B%5D=0&allcountries=checkbox&theme=9&variable_ID=754&action=select_years September 18, 2007
This Dataset shows the location of the Bank of America branches and ATMs in the Washington DC area. I was able to geocode these locations based on street addresses provided by this website: http://www.insiderpages.com/s/DC/Washington/Banks_page277?sort=alpha&radius=50
This data charts international arrivals to the United States of America by person's country of residency for the years 2000 - 2006. Sources: U.S. Department of Commerce, ITA, Office of Travel & Tourism Industries; Statistics Canada (Canada); and Banco de Mexico/Secretaria de Turismo (Mexico). http://tinet.ita.doc.gov/outreachpages/download_data_table/Historical_arrivals_2000_2006.pdf Accessed on 18 Sept. 2007
Exports of TOTAL from Texas in United States Dollars ($ USD). This data comes from Trade Stats Express - State Export Data and covers the years 2001- March 2007. Source: http://tse.export.gov/MapFrameset.aspx?MapPage=SEDMapWorldDisplay.aspx&UniqueURL=fzalwu55osssr245pb42yw55-2007-9-13-14-13-5 Accessed on 17 Sept. 2007
This information comes from CIA's World Factbook 2007. The site describes account balance as "a country's net trade in goods and services, plus net earnings from rents, interest, profits, and dividends, and net transfer payments (such as pension funds and worker remittances) to and from the rest of the world during the period specified. These figures are calculated on an exchange rate basis, i.e., not in purchasing power parity (PPP) terms." Most of the values were derived from 2006 data.
This data set illustrates three issues relating to water pollution across the globe. Suspended solids, freshwater pollution, and dissolved oxygen concentration are these issues. A value of -1 means that no data was available. http://www.nationmaster.com/graph/env_wat_sus_sol-environment-water-suspended-solids http://www.nationmaster.com/graph/env_wat_fre_pol-environment-water-freshwater-pollution http://www.nationmaster.com/graph/env_wat_dis_oxy_con-environment-water-dissolved-oxygen-concentration September 17, 2007
This entry refers to 2005 net official development assistance (ODA) from the Organization for Economic Cooperation and Development (OECD) nations to developing countries and multilateral organizations. ODA is defined as financial assistance that is concessional in character, has the main objective to promote economic development and welfare of the less developed countries. Values are also included for assistance as a percentage of Gross National Income, and for change in assistance from 2004 to 2005. Source: http://www.oecd.org/dataoecd/52/18/37790990.pdf Accessed: 9.17.07
This dataset gives the average annual number of deaths during a year per 1,000 population at midyear; also known as crude death rate. This information was found at the CIA's World Factbook 2007. The site had this to say about death rate, "The death rate, while only a rough indicator of the mortality situation in a country, accurately indicates the current mortality impact on population growth. This indicator is significantly affected by age distribution, and most countries will eventually show a rise in the overall death rate, in spite of continued decline in mortality at all ages, as declining fertility results in an aging population." Source: https://www.cia.gov/library/publications/the-world-factbook/docs/notesanddefs.html#2010 Accessed: 9.17.07
This data set illustrates the closed and open shrublands across the globe. They are defined as the following: "Closed shrublands are lands with woody vegetation less than 2 meters tall and with shrub canopy cover greater than 60%. The shrub foliage can be either evergreen or deciduous. Open shrublands are lands with woody vegetation less than 2 meters tall and with shrub canopy cover is between 10-60%. The shrub foliage can be either evergreen or deciduous" (Earth Trends). http://earthtrends.wri.org/searchable_db/index.php?step=countries&ccID%5B%5D=0&allcountries=checkbox&theme=9&variable_ID=755&action=select_years http://earthtrends.wri.org/searchable_db/index.php?step=countries&ccID%5B%5D=0&allcountries=checkbox&theme=9&variable_ID=756&action=select_years September 17, 2007
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
The data provides information on ferry terminals in or on the border of U.S and its territories. Parking availability, automobile access and other information on other intermodal connections is also included.
This Dataset gives the average retail gasoline price per state. Current gas prices were provided by AAA, and historic gas price comes from the 2007 gas price study. Gas Prices are shown in US Dollars per Gallon. The AAA Fuel Gauge Web Site is derived from credit card transactions at more than 85,000 stations around the country. Prices shown are combined averages of the last card swipe of the previous day. percentage change data attribute was created from the historic data to the current data.
The data comes from Table 2 in Assessing Broadband in America: OECD and ITIF Broadband Rankings, prepared by Daniel Correa. See further details in the URL link to the report below. Original Source: OECD Directorate for Science, Technology, and Industry and ITIF calculations (see footnote 12 in report)
From Source: Food budget shares and income and price elasticities are estimated, using 1996 data, for nine major consumption groups and eight food subgroups across 114 countries. The broad groups include food, beverage, and tobacco; clothing and footwear; education; gross rent, fuel, and power; house furnishings and operations; medical care; recreation; transport and communications; and other items. Food subgroups include bread and cereals, meat, fish, dairy products, fats and oils, fruit and vegetables, beverages and tobacco, and other food products. The depth and breath of these data provide an opportunity to incorporate the elasticities into research on changing food demand patterns. Albania Antigua & Barbuda Argentina Armenia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bolivia Botswana Brazil Bulgaria Cameroon Canada Chile Congo Cote d'Ivoire Czech Republic Denmark Dominica Ecuador Egypt Estonia Fiji Finland France Gabon Georgia Germany Greece Grenada Guinea Hong Kong Hungary Iceland Indonesia Iran Ireland Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Korea Kyrgyzstan Latvia Lebanon Lithuania Luxembourg Macedonia Madagascar Malawi Mali Mauritius Mexico Moldova Mongolia Morocco Nepal Netherlands New Zealand Nigeria Norway Oman Pakistan Paraguay Peru Philippines Poland Portugal Qatar Romania Russia Senegal Sierra Leone Singapore Slovakia Slovenia Spain Sri Lanka St. Kitts & Nevis St. Lucia St.Vincent & Grenadines Swaziland Sweden Switzerland Syria Tajikistan Tanzania Thailand Trinidad & Tobago Tunisia Turkey Turkmenistan Ukraine United Kingdom United States Uruguay Uzbekistan Venezuela Vietnam Yemen Zambia Zimbabwe
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This data provides counts of alternative fuel stations by fuel type and by state. The fuels included in the data are: CNG-Compressed Natural Gas, E85-85% Ethanol, LPG-Propane, ELEC-Electric, BD-Biodiesel, HY-Hydrogen and LNG-Liquefied Natural Gas. Counts are for 2008. I have also calculated fuel stations per capita (in 100,000s of persons) using the U.S. Census estimates of population for 2007
This dataset provides information on telecommunications revenues by state (in millions) for the years 2005 through 2004. The data comes from Table 15.5 in the report in the URL link below. I have also calculated the percent change in revenue between 1995 and 2004.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This data reports Internet crime complainents per capita (per 100,000 people) by State for 2007. The data was extracted from the 2007 Internet Crime Report prepared by The National White Collar Crime Center, the Bureau of Justice Assistance, FBI. Further details provided in the link to the report in the URL below.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
The poly shapefile is based on Census data that compares Census 2000 population levels to estimates in July, 2006 for all the counties that are designated by NOAA (see the URL below) as "Coastal Region Counties". There are 645 jurisdictions, whose combined population in was over 146.6 million (Year 2000) and estimated to be 154.3 million in 2006. In both years, the largest and the smallest counties were Los Angeles, CA and Kenedy, TX. Flagler, FL registered the largest percent change (66.7%) and St. Bernard, LA registered the highest percent decrease (-76.9%). The later is direct result of the 2005 Katrina disaster. http://www.census.gov/geo/landview/lv6help/coastal_cty.pdf
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This data explores the U.S. Department of Health and Human Services (DHHS) Administration for Children and Families Administration on Children, Youth and Families Children's Bureau Adoption of Children with Public Child Welfare Agency Involvement by State for Fiscal Years 1995 - 2006. For Fiscal Years 1995 - 1997, The data for FY 1995-FY 1997 were reported by States to set baselines for the Adoption Incentive Program. They came from a variety of sources including the Adoption and Foster Care Analysis and Reporting System (AFCARS), court records, file reviews and legacy information systems. For Fiscal Years 1998 - 2006, Unless otherwise noted, the data come from the AFCARS adoption database. Because AFCARS adoption data are being continuously updated and cleaned, the numbers reported here may differ from data reported elsewhere. In addition, data reported for the Adoption Incentive Program will differ from these data because adoptions reported for that program are identified through a different AFCARS data element and must qualify in other ways to be counted toward the award of incentive funds. Counts include adoptions reported as of 6/1/2005. Where appropriate, AFCARS data have been adjusted for duplication.
This data explores the DHHS Children's Bureau data on Children in Public Foster Care Waiting to be Adopted. *There is no federal definition for a child waiting to be adopted. For analytical purposes, the definition used in the table above includes children who have a goal of adoption and/or whose parental rights have been terminated. It excludes children 16 years old and older, whose parental rights have been terminated and who have a goal of emancipation. The # of children waiting to be adopted reported by individual States will likely differ somewhat from those in this table because State definitions vary according to State policies and practices. Because this data are being continuously updated and cleaned, the numbers reported here may differ from data reported elsewhere. This has resulted in an increase in the reported size of the waiting population for fiscal years 2002-2006. This change and other minor changes made to the computer program provide a more accurate picture of the size and nature of the "waiting" population at the end of each fiscal year.
The poly shapefile shows income levels needed to support a family of four living in low-cost areas withing the states. It also shows percent income above the average poverty levels (Fed poverty level $20,650)for the U.S.
This dataset explores Foster Care FY2000 - FY2005 Entries, Exits, and Numbers of Children In Care on the Last Day of Each Federal Fiscal Year. NOTE: This table reflects State data submitted to the Children's Bureau as of March 2007. The table does not include any estimates for individual States. Jurisdictions with insufficient data ("NA") are not included in the total for that year. Pre-2003 Nevada data were generated from various sources, rather than from a statewide child welfare system. NOTE: Ideally, if the number of children in the "in care" count declines, as it did during this period, the number of exits should consistently be greater than the number of entries in that year. However, this does not occur with these data. Underreporting of foster care exits by some States is the major reason for this data quality issue.
The poly shapefile shows income levels needed to support a family of four living in mid-cost areas within the states. It also shows percent income above the Federal poverty levels ($20,650 = 100%)
The poly shapefile shows income levels needed to support a family of four living in the high-cost of living areas within the states. It also shows percent income above the Federal poverty levels ($20,650 = 100%)
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
The poly shapefile shows the total number of bankruptcies filed per year in the lower 48 states from 1985 to 2006. The original data came from the U.S. bankruptcy courts. In the U.S. personal and business bankruptcies are handled by the U.S. bankruptcy courts spread across 94 judicial districts. For more information go to: http://www.uscourts.gov/bankruptcycourts.html
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
The poly shapefile shows annual percent change in the number of bankruptcies between 1985 and 2006 for the lower 48 states. The original data from US Bankruptcy courts was downloaded from the Census 2008 USA Statistical Abstract and yearly percent change computation was carried out. Elsewhere on the Finder! you may find the annual bankruptcy data by state for the same time periods. For details on the stats go to: http://www.uscourts.gov/usbankruptcy.html
This dataset list the locations of all the remaining monarchies throughout the world as of 5.29.2008. Just recently the nation of Nepal after being a monarchy for 239 years is now a secular republic. The country's newly elected Constituent Assembly, led by former communist insurgents, declared the country a republic in a vote of 560 to 4. The last country to overthrow their monarch system of government was Iran in 1979 when the Shah of Iran was overthrown. The dataset contains the name of the country, the type of government of the country, the monarch(s) of the country, and any other notes to add about the Country's Monarchy. Information was obtained from Rueters and the CIA Factbook.
This dataset explores the prior relationship of adoptive parents to their adoptee children during fiscal year 2006 (from October 1, 2005 to September 30, 2006). *The data from Maryland, Nebraska, New York, Ohio, Rhode Island and Washington was questionable due to the large percentage of missing data. *Iowa does not track non-welfare stepparent adoptions. Law defines relative as the fourth degree of consanguinity. *Nebraska includes great aunt/uncle, great grandparent, great great great grandparent, great great aunt/uncle, great great great grandparent, great great great aunt/uncle, adoptive sibling, biological sibling, first and second cousins, grandparent, parent-in-law, aunt/uncle. Fictive kin (ie. Godparents) are not included.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This data explores the race/ethnicity of public agency children adopted for the fiscal year 2006 (from October 1,2005 to September 30, 2006) by state.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This data explores the break down of funding into state and federal subsidies. This data is from the United States Department of Health and Human Services - Children's Bureau for the fiscal year 2006 (October 1, 2005 through September 30, 2006). *florida includes only children entered in the Interim Child Welfare Services Information System (ICWSIS) and Florida's SACWIS with the same client identification number. Coded yes if payment was made for a maintenance subsidy, whether or not Title IV-E. Most recent monthly amount paid for maintenance subsidy only.
This datasets displays the summary of the Geographic Spread of Influenza throughout the United States for the week ending on 5.17.2008. Each state is given a flu Status that is dependent on the spread of influenza throughout the state for the particular week. There are five levels of status that a state can obtain. They are: * No Activity: No laboratory-confirmed cases of influenza and no reported increase in the number of cases of ILI. * Sporadic: Small numbers of laboratory-confirmed influenza cases or a single laboratory-confirmed influenza outbreak has been reported, but there is no increase in cases of ILI. * Local: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in a single region of the state. * Regional: Outbreaks of influenza or increases in ILI and recent laboratory confirmed influenza in at least 2 but less than half the regions of the state. * Widespread: Outbreaks of influenza or increases in ILI cases and recent laboratory-confirmed influenza in at least half the regions of the state. The information comes from the Centers for Disease Control and Prevention (CDC) To see more information about how this status is determined see http://www.cdc.gov/flu/weekly/fluactivity.htm for a full explanation of their system.
This dataset displays the inmate populations for all the Federal Prisons throughout the United States on 5.29.08. This weekly Population Report can be found on the Bureau of Prisons website at bop.gov. These facilities are positioned by their lat/lon and this dataset is updated on a weekly basis.
This dataset explores the time between tpr and finalization for fiscal year 2006 (from October 1, 2005 to September 30, 2006) from the Department of Health and Human Services - Administration for children and families - Children's Bureau.
This dataset explores the United States Department of Agriculture (USDA) Food and Nutrition Service data on national school lunches served by state for the years 2003-2007.
This dataset explores the United States Department of Agriculture (USDA) Food and Nutrition Service National School Lunch Program Total Participation by state for fiscal years 2003-2007.
This dataset shows the total amount of expenditures and operating costs that states spent on inmates in the fiscal year of 2001. Correctional authorities spent $38.2 billion to maintain the Nation's State correctional systems in fiscal year 2001, including $29.5 billion specifically for adult correctional facilities. Day-today operating expenses totaled $28.4 billion, and capital outlays for land, new building, and renovations, $1.1 billion. The average annual operating cost per State inmate in 2001 was $22,650, or $62.05 per day. Among facilities operated by the Federal Bureau of Prisons, it was $22,632 per inmate, or $62.01 per day. In a followup to a study based on FY 1996 data, this report presents unique statistics on the cost of operating State prisons in FY 2001. Information was obtained by extracting corrections data from each State's responses to the U.S. Census Bureau's annual Survey of Government Finances. Item categories were standardized across jurisdictions, and reported figures were verified with State budget officials. For more information please see source url.
This dataset shows the total amount of State Prison Expenditures for Medical Care, Food expenses, and Utilities in the year 2001. Over a quarter of prison operating costs are for basic living expenses. Prisoner medical care, food service, utilities, and contract housing totaled $7.3 billion, or about 26% of State prison current operating expenses. Inmate medical care totaled $3.3 billion, or about 12% of operating expenditures. Supplies and services of government staff and full-time and part-time managed care and fee-for service providers averaged $2,625 per inmate, or $7.19 per day. By comparison, the average annual health care expenditure of U.S. residents, including all sources in FY 2001, was $4,370, or $11.97 per day. Factors beyond the scope of this report contributed to the variation in spending levels for prisoner medical care. Lacking economies of scale, some States had significantly higher than average medical costs for everyone, and some had higher proportions of inmates whose abuse of drugs or alcohol had led to disease. Also influencing variations in expenditures were staffing and funding of prisoner health care and distribution of specialized medical equipment for prisoner treatment. Food service in FY 2001 cost $1.2 billion, or approximately 4% of State prison operating expenditures. On average nationwide, State departments of correction spent $2.62 to feed inmates each day. Utility services for electricity, natural gas, heating oil, water, sewerage, trash removal, and telephone in State prisons totaled $996 million in FY 2001. Utilities accounted for about 3.5% of State prison operating expenditure. For more information see the url source of this dataset.
This dataset explores the cash received for school lunches by state from the national school lunch program for the years 2003- 2007. Payments to State agencies are based on per meal rates which are adjusted annually to offset changes in food prices. Administrative costs are not included. Department of Defense activity represents children of armed forces personnel attending schools overseas. Cash payments include the costs of snacks served under the National School Lunch Program as well as lunches. Data are subject to revision.
This dataset explores the commodity costs of the national school lunch program by state for the fiscal years 2003-2007. Includes entitlement commodities, bonus commodities, and cash-in-lieu of commodities. Entitlement commodities are based on a rate per meal which is adjusted annually to offset changes in food costs; bonus commodities are surplus Dept. of Agriculture foods. Commodity costs represent value of foods delivered to State warehouses during the fiscal year.
This dataset explores the school breakfast program participation by state for the fiscal years 2003-2007. Participation data are nine-month averages; summer months (June-August) are excluded. Participation is based on average daily meals divided by an attendance factor of 0.927
This dataset explores the national school breakfast program - the total number of breakfasts served by state for fiscal years 2003-2007.
This dataset displays the energy consumption figures for each US state during the year 2005. This data is divided by sector, which includes residential, commercial, industrial, transportation, and total consumption figures. These statistics are displayed on a trillion British Thermal Unit (Btu) scale. Texas and California are consistantly atop the list as the highest consumers of energy across all sectors. With Texas being th highest total consumer. On the other end of the spectrum Vermont is the lowest total consumer of energy in 2005.
This dataset explores the national school breakfast program's cash received by state for fiscal years 2003-2007. Payments to State agencies are based on per meal rates which are adjusted annually to offset changes in food prices. Administrative costs are not included.
This dataset explores the Special Milk Program - Total Half Pints served by state for the fiscal years 2003- 2007.
This dataset displays figures on energy consumption by source and total consumption per Capita. This information is available by state for the year 2005. This information is provided by the Energy Information Administration. Alaska tops the list of total consumption per capita, while Texas ranks highest in consumption for all other categories. Included is figures regarding coal, natural gas, petroleum, and retail electricity sales.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset explores the child and adult care food program average daily attendance by state for the fiscal years 2003 - 2007.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset explores the USDA child and adult care food program total meals served by state for the fiscal years 2003-2007.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the energy prices and expenditures for each of the 50 United States, plus the District of Columbia. Included in the dataset are figures on the prices on a scale with nominal dollars per million Btu. Expenditures in millions of nominal dollars. Expenditures per person in nominal dollars. Hawaii pays the highest in prices, with Texas paying the most in expenditures.
This dataset explores the USDA Food and Nutrition Service Child and Adult Care Food Program by recording the cash payments received by state for fiscal years 2003-2007. * Payments to State agencies are based on per meal rates which are adjusted annually to offset changes in food prices. Administrative costs are not included. Data are subject to revision.
This dataset explores the USDA summer food service program participation by state for fiscal years 2003-2007. *Average daily attendance is reported for July only, the peak month of national program activity. Unlike participation data in the National School Lunch and School Breakfast Programs, average daily attendance is not adjusted for absenteeism. Data are subject to revision.
This dataset explores the USDA Summer Food Service program, listing total meals served by state for fiscal years 2003-2007.
This dataset displays the Motor Gasoline Prices and Expenditures for all 50 US States plus the District of Columbia. This data is available for the Year 2005, and includes information on Prices in nominal dollars per million Btu. Expenditures in Million Nominal dollars, and expenditures per person in nominal dollars.
This dataset explores the USDA Food and Nutrition Service - Summer Food Service total cash payments by state for fiscal years 2003-2007. * Cash payments are based on per meal reimbursement rates which are adjusted annually to offset changes in food prices. They do not include administrative expenses or commodity costs. Data are subject to revision.
Food budget shares and income and price elasticities are estimated, using 1996 data, for nine major consumption groups and eight food subgroups across 114 countries. The broad groups include food, beverage, and tobacco; clothing and footwear; education; gross rent, fuel, and power; house furnishings and operations; medical care; recreation; transport and communications; and other items. Food subgroups include bread and cereals, meat, fish, dairy products, fats and oils, fruit and vegetables, beverages and tobacco, and other food products. The depth and breath of these data provide an opportunity to incorporate the elasticities into research on changing food demand patterns.
This dataset displays statistics on both Petroleum and Natural Gas prices and expenditures for the year 2005 in the US. This data is available on a state level, and also includes the District of Columbia. The price figures and given in Nominal Dollars per million Btu, and the expenditure figures are given in Million Nominal Dollars.
This dataset explores the USDA national school lunch program by reporting the number of children participating at two points in time (Feb. 2007 and Jan. and Feb. 2008) and the percent change from 2007 to 2008. *Participation data are based on average daily meals adjusted by an attendance factor of 0.927. Data for January and February 2008 are preliminary and are subject to significant change; all data are subject to revision.
Overview (From USDA) Food budget shares are estimated, using 1996 data, for nine major consumption groups and eight food subgroups across 114 countries. The broad groups include food, beverage, and tobacco; clothing and footwear; education; gross rent, fuel, and power; house furnishings and operations; medical care; recreation; transport and communications; and other items. Food subgroups include bread and cereals, meat, fish, dairy products, fats and oils, fruit and vegetables, beverages and tobacco, and other food products. The depth and breath of these data provide an opportunity to incorporate the elasticities into research on changing food demand patterns.
Overview Food budget shares and income and price elasticities are estimated, using 1996 data, for nine major consumption groups and eight food subgroups across 114 countries. The broad groups include food, beverage, and tobacco; clothing and footwear; education; gross rent, fuel, and power; house furnishings and operations; medical care; recreation; transport and communications; and other items. Food subgroups include bread and cereals, meat, fish, dairy products, fats and oils, fruit and vegetables, beverages and tobacco, and other food products. The depth and breath of these data provide an opportunity to incorporate the elasticities into research on changing food demand patterns.
International baseline data on the supply, demand, and trade for major agricultural commodities for selected countries.
Index of monthly average price for regular fuel in major US Cities from 1995 to April 2008. Months are numbered. For example: 1995M09 = September 1995 Data was extracted from the Consumer Price Index. Polygons were extracted from the Office of Management and Budget's breakdown of Metropolitan Statistical Areas from 1996
The food production per capita index presents net food production (after deduction for feed and seed) of a country's agricultural sector per person relative to the base period 1999-2001. The food production per capita index covers all edible agricultural products that contain nutrients; coffee and tea are excluded. For a given year and country, the index is calculated by taking the disposable average output of all food commodities per person in terms of weight or volume during the period of interest and dividing that year's output by the average of the 1999-2001 output per person. This ratio is then multiplied by 100 to obtain the index number. The index represents the total amount of food commodity for that period per capita relative to the 1999-2001 average amount of food commodities per capita.
This data reports the percent of flights that arrived on time for airports in the U.S. and for the year 2003. The original data comes from monthly numbers reported by US certified air carriers that account for at least one percent of domestic scheduled passenger revenues--includes scheduled and actual arrival and departure times for flights
This data reports the percent of flights that arrived on time for airports in the U.S. and for the year 2004. The original data comes from monthly numbers "reported by US certified air carriers that account for at least one percent of domestic scheduled passenger revenues--includes scheduled and actual arrival and departure times for flights." www.bts.gov
This data reports the percent of flights that arrived on time for airports in the U.S. and for the year 2005. The original data comes from monthly numbers "reported by US certified air carriers that account for at least one percent of domestic scheduled passenger revenues--includes scheduled and actual arrival and departure times for flights." www.bts.gov
This data reports the percent of flights that arrived on time for airports in the U.S. and for the year 2006. The original data comes from monthly numbers "reported by US certified air carriers that account for at least one percent of domestic scheduled passenger revenues--includes scheduled and actual arrival and departure times for flights." www.bts.gov
This data reports the percent of flights that arrived on time for airports in the U.S. and for the year 2007. The original data comes from monthly numbers "reported by US certified air carriers that account for at least one percent of domestic scheduled passenger revenues--includes scheduled and actual arrival and departure times for flights." www.bts.gov
This is average departure delay by airport for 2003. The original data comes from monthly numbers "reported by US certified air carriers that account for at least one percent of domestic scheduled passenger revenues--includes scheduled and actual arrival and departure times for flights." www.bts.gov
This is average departure delay by airport for 2004. The original data comes from monthly numbers "reported by US certified air carriers that account for at least one percent of domestic scheduled passenger revenues--includes scheduled and actual arrival and departure times for flights." www.bts.gov
This is average departure delay by airport for 2005. The original data comes from monthly numbers "reported by US certified air carriers that account for at least one percent of domestic scheduled passenger revenues--includes scheduled and actual arrival and departure times for flights." www.bts.gov
This is average departure delay by airport for 2006. The original data comes from monthly numbers "reported by US certified air carriers that account for at least one percent of domestic scheduled passenger revenues--includes scheduled and actual arrival and departure times for flights." www.bts.gov
This is average departure delay by airport for 2007. The original data comes from monthly numbers "reported by US certified air carriers that account for at least one percent of domestic scheduled passenger revenues--includes scheduled and actual arrival and departure times for flights." www.bts.gov
This is average departure delay by airport for 1st Quarter 2008. The original data comes from monthly numbers "reported by US certified air carriers that account for at least one percent of domestic scheduled passenger revenues--includes scheduled and actual arrival and departure times for flights." www.bts.gov
This data reports the percent of flights that departed on time for airports in the U.S. and for the year 2003. The original data comes from monthly numbers "reported by US certified air carriers that account for at least one percent of domestic scheduled passenger revenues--includes scheduled and actual arrival and departure times for flights." www.bts.gov
This data reports the percent of flights that departed on time for airports in the U.S. and for the year 2004. The original data comes from monthly numbers "reported by US certified air carriers that account for at least one percent of domestic scheduled passenger revenues--includes scheduled and actual arrival and departure times for flights." www.bts.gov
This data reports the percent of flights that departed on time for airports in the U.S. and for the year 2005. The original data comes from monthly numbers "reported by US certified air carriers that account for at least one percent of domestic scheduled passenger revenues--includes scheduled and actual arrival and departure times for flights." www.bts.gov
This data reports the percent of flights that departed on time for airports in the U.S. and for the year 2006. The original data comes from monthly numbers "reported by US certified air carriers that account for at least one percent of domestic scheduled passenger revenues--includes scheduled and actual arrival and departure times for flights." www.bts.gov
This data reports the percent of flights that departed on time for airports in the U.S. and for the year 2007. The original data comes from monthly numbers "reported by US certified air carriers that account for at least one percent of domestic scheduled passenger revenues--includes scheduled and actual arrival and departure times for flights." www.bts.gov
This data reports the percent of flights that departed on time for airports in the U.S. and for 1st Quarter 2008. The original data comes from monthly numbers "reported by US certified air carriers that account for at least one percent of domestic scheduled passenger revenues--includes scheduled and actual arrival and departure times for flights." www.bts.gov
This is the average taxi-in time at U.S. airports in 2003. The original data comes from monthly numbers "reported by US certified air carriers that account for at least one percent of domestic scheduled passenger revenues--includes scheduled and actual arrival and departure times for flights." www.bts.gov
This is the average taxi-in time at U.S. airports in 2004. The original data comes from monthly numbers "reported by US certified air carriers that account for at least one percent of domestic scheduled passenger revenues--includes scheduled and actual arrival and departure times for flights." www.bts.gov
This is the average taxi-in time at U.S. airports in 2005. The original data comes from monthly numbers "reported by US certified air carriers that account for at least one percent of domestic scheduled passenger revenues--includes scheduled and actual arrival and departure times for flights." www.bts.gov
This is the average taxi-in time at U.S. airports in 2006. The original data comes from monthly numbers "reported by US certified air carriers that account for at least one percent of domestic scheduled passenger revenues--includes scheduled and actual arrival and departure times for flights." www.bts.gov
This is the average taxi-in time at U.S. airports in 2007. The original data comes from monthly numbers "reported by US certified air carriers that account for at least one percent of domestic scheduled passenger revenues--includes scheduled and actual arrival and departure times for flights." www.bts.gov
This is the average taxi-in time at U.S. airports for 1st Quarter 2008. The original data comes from monthly numbers "reported by US certified air carriers that account for at least one percent of domestic scheduled passenger revenues--includes scheduled and actual arrival and departure times for flights." www.bts.gov
This is the average taxi-out time at U.S. airports in 2003. The original data comes from monthly numbers "reported by US certified air carriers that account for at least one percent of domestic scheduled passenger revenues--includes scheduled and actual arrival and departure times for flights." www.bts.gov
This is the average taxi-out time at U.S. airports in 2004. The original data comes from monthly numbers "reported by US certified air carriers that account for at least one percent of domestic scheduled passenger revenues--includes scheduled and actual arrival and departure times for flights." www.bts.gov
This is the average taxi-out time at U.S. airports in 2005. The original data comes from monthly numbers "reported by US certified air carriers that account for at least one percent of domestic scheduled passenger revenues--includes scheduled and actual arrival and departure times for flights." www.bts.gov
This is the average taxi-out time at U.S. airports in 2006. The original data comes from monthly numbers "reported by US certified air carriers that account for at least one percent of domestic scheduled passenger revenues--includes scheduled and actual arrival and departure times for flights." www.bts.gov
This is the average taxi-out time at U.S. airports in 2007. The original data comes from monthly numbers "reported by US certified air carriers that account for at least one percent of domestic scheduled passenger revenues--includes scheduled and actual arrival and departure times for flights." www.bts.gov
This is the average taxi-out time at U.S. airports for 1st Quarter 2008. The original data comes from monthly numbers "reported by US certified air carriers that account for at least one percent of domestic scheduled passenger revenues--includes scheduled and actual arrival and departure times for flights." www.bts.gov
This is the average departure delay from weather at U.S. airports in 2003. The original data comes from monthly numbers "reported by US certified air carriers that account for at least one percent of domestic scheduled passenger revenues--includes scheduled and actual arrival and departure times for flights." www.bts.gov
This is the average departure delay from weather at U.S. airports in 2004. The original data comes from monthly numbers "reported by US certified air carriers that account for at least one percent of domestic scheduled passenger revenues--includes scheduled and actual arrival and departure times for flights." www.bts.gov
This is the average departure delay from weather at U.S. airports in 2005. The original data comes from monthly numbers "reported by US certified air carriers that account for at least one percent of domestic scheduled passenger revenues--includes scheduled and actual arrival and departure times for flights." www.bts.gov
This is the average departure delay from weather at U.S. airports in 2006. The original data comes from monthly numbers "reported by US certified air carriers that account for at least one percent of domestic scheduled passenger revenues--includes scheduled and actual arrival and departure times for flights." www.bts.gov
This is the average departure delay from weather at U.S. airports in 2007. The original data comes from monthly numbers "reported by US certified air carriers that account for at least one percent of domestic scheduled passenger revenues--includes scheduled and actual arrival and departure times for flights." www.bts.gov
This coverage represents year MODIS fire detections for the 7 day period specified for the geographic area covering the conterminous United States, Alaska, Hawaii, Canada and northern Mexico. The detections are obtained using both TERRA MODIS and AQUA MODIS data are collected and processed as a cooperative effort between the USDA Forest Service Remote Sensing Application Center, NASA-Goddard Space Flight Center and the University of Maryland. These fire detection data are collected for the USDA Forest Service MODIS Active Fire Mapping Program (http://activefiremaps.fs.fed.us). These data are intended to provide a synoptic view of active fires for the past and present over the specified time period. These data are collected at a spatial resolution of 1 kilometer and therefore are only intended for geographic display and analysis at the national and regional levels. No responsibility is assumed by the USDA Forest Service in the use of these data.
This datasets displays the locations of all recorded earthquakes of a magnitude of 1 or greater around the world from the period of 5.27.08 to 6.2.08. The findings are from the US Geological Survey (USGS). Earthquake information is extracted from a merged catalog of earthquakes located by the USGS and contributing networks. Earthquakes will be broadcast within a few minutes for California events and within 30-minutes for world-wide events.
HAZUS is an abbreviation for Hazards United States, and was developed by FEMA. This data set provides a count of buildings at the census block level for the Cincinnati Metropolitan Statistic Area (MSA)located in Kentucky. ABSG developed this data set from the 2000 version of TIGER/Line files and first quarter of 2002 data from Dun & Bradstreet. The dataset was generated by dividing the square footage by occupancy by census block by typical floor areas (square footage) for each occupancy. Original data was made available at the state level and the MSA was extracted out of the state level data. Data can be found online at http://www.fema.gov/plan/prevent/hazus/index.shtm as well as at the National Institute of Building Science http://www.nibs.org/hazusweb/. Original data was made available at the state level and the MSA was extracted out of the state level data.
The poly shapefile was generated from the democratic Primary data scraped from the Green Papers website. It has votes and delegate counts for Clinton and Obama for the 5th Feb, 2008 primary. The data is available for the 20 "Democratic Districts" while the Census shape file is available for New Jersey for the 40 "Legislative Districts". Thus one "Democratic District" data is allocated to two "Legislative Districts" to generate the shape file.
This SBO dataset explores women-owned businesses and their receipts in the USA from 1997-2002. The Survey of Business owners (SBO) is a consolidation of two prior surveys, the Surveys of Minority- and Women-Owned Business Enterprises (SMOBE/SWOBE), and includes questions from a survey discontinued in 1992 on Characteristics of Business Owners (CBO).
HAZUS is an abbreviation for Hazards United States, and was developed by FEMA. The HAZUS dataset was designed to estimate the potential physical, economic and social losses during hazardous events such as flooding or earthquakes. To Measure the social impact of these events HAZUS includes detailed demographic data for the United States. This dataset pulls out the residential data from the demographic files, at the census block level for the Indiana section of the Chicago Metropolitan Statistic Area (MSA). Attributes included in the resident section of demographics include population group quarters, School enrollment, population commuting at 5 pm, population in hotels, visiting populations, population residing by day or night, and others. Demographics data was recent as of May 2006. Source: http://www.fema.gov/plan/prevent/hazus/index.shtm
HAZUS is an abbreviation for Hazards United States, and was developed by FEMA. The HAZUS dataset was designed to estimate the potential physical, economic and social losses during hazardous events such as flooding or earthquakes. To measure the social impact of these events, HAZUS includes detailed demographic data for the United States. This dataset pulls out the income range data from the demographic files, at the census block level for the Kentucky section of the Cincinnati, Ohio Metropolitan Statistic Area (MSA). Income attributes include; incomes under $10k, incomes from $10k-$20k, $20k-$30k, and so on up until income of $100k+. Demographics data was recent as of May 2006.
The ICP data collection was conducted in 100 economies, divided into five regions, and when combined with a Eurostat-OECD PPP program, brings the total to 146 economies. The principal outputs of the ICP are estimates of Purchasing Power Parities (PPPs) benchmarked to the year 2005. The new PPPs replace previous benchmark estimates, some dating back to the 1980s. The preliminary global ICP report provides information on gross domestic product (GDP), GDP per capita, household consumption, collective government consumption, and capital formation for all 146 economies. These estimates are derived from PPPs based upon national surveys that priced nearly 1,000 products and services. Comparative price levels are also included. (The figures in this dataset are all in current US $ as of 2005)
HAZUS is an abbreviation for Hazards United States, and was developed by FEMA. The HAZUS dataset was designed to estimate the potential physical, economic and social losses during hazardous events such as flooding or earthquakes. To measure the social impact of these events, HAZUS includes detailed demographic data for the United States. This dataset pulls out the racial data from the demographic files, at the census block level for the Washington portion of the Portland Metropolitan Statistic Area (MSA). Attributes include Whites, Blacks, Asians, Hispanics, Hawaiian and Pacific Islanders, Native Americans, and populations stating other race. Demographics data was recent as of May 2006.
This file shows bars and clubs in the New York City MSA. locations were pulled from multiple data sources. This isn't a full listing of bars in the NYC area, but all bars do have a user rating with them. This dataset has been migrated from our Geocommons platform, and lacks a description from the original posting user. This is not a Fortiusone provided dataset. Please keep this in mind, and make of the dataset what you will. Thank you for visiting Finder!
The data is based on Economic Research Service (ERN) of USDA's dataset that shows where the creative people are in the U.S. Its an interpretation of Richard Florida's thesis that much of urban development is determined by people who work in the so called ideas and knowledge industry. The workers who are in ideas and knowledge industry are attracted to areas that offer jobs in these industries and also because of desirable traits such as quality of life indicators. For details see http://www.ers.usda.gov/data/creativeclasscodes/ and http://www.ers.usda.gov/Data/CreativeClassCodes/methods.htm
This dataset shows locations of National Wilderness Preservation System Areas in the United States, Puerto Rico, and the U.S. Virgin Islands, as well as relevant information on the areas. Only areas of 640 acres or more are included. This dataset was released in December 2005 and found on-line at the National Atlas, www.nationalatlas.gov, in shape file format. Metadata Source:http://www.nationalatlas.gov/metadata/wildrnp020.faq.html
This dataset shows the type of transportation people use to go to work. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1338.
This dataset shows the incomes of residents. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1338.
This dataset shows the incomes of people reporting from their job location. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1344.
This dataset shows the origin and race of residents. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level.
This dataset shows the incomes of residents. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level.
This dataset shows the means of transportation to work reported by females. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1338.
This dataset shows the number of hours worked per week in 1999. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level.
This dataset shows the number of workers in 15 categories of industry. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level.
This dataset shows the number of people enrolled in various levels of school, according to where they live. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1341.
This dataset shows the means of transportation to work reported by females. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1338.
This dataset shows housing tenure. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1347
This dataset shows the means of transportation to work reported by males. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1338. 0/50/50/50/50/5
This dataset shows the incomes of people reporting from their job location. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1344.
This dataset shows the incomes of people reporting from their job location. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1344.
This dataset shows the number of people enrolled in various levels of school, according to where they live. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level.
This dataset shows length of US residence and worker earnings in 1999. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1339.
This dataset shows the means of transportation to work reported by females. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level.
This data reports crime statistics for 4-year public and private post-secondary schools. The source of the data is Department of Education, The Campus Security Data Analysis Cutting Tool: http://ope.ed.gov/security/
This dataset has been migrated from our Geocommons platform, and lacks a description from the original posting user. This is not a Fortiusone provided dataset. Please keep this in mind, and make of the dataset what you will. Thank you for visiting Finder!
The map data is derived from the United Nations Environment Programme (UNEP) for the years ranging from 1958 to a projected 2012. The map shows the concentration of the total actual external water resources for usage by country measured in billion cubic meters. UNEP defines total actual external renewable water resources (ERWR actual) as the "part of the country's annual renewable water resources which is not generated in the country." Online resource: http://geodata.grid.unep.ch URL original source: http://www.fao.org/ag/agl/aglw/aquastat/dbase/index.htm
The map data is derived from the United Nations Environment Programme (UNEP) for the years ranging from 1958 to a projected 2012. The map shows the concentration of the total goods hauled by road within each country measured in million metric tons times kilometers traveled. This could also be understood as Road Traffic - Goods Hauled per Km. According to UNEP, goods hauled by road are the "volume of goods transported by road vehicles, measured in million metric tons times kilometers traveled." Online resource: http://geodata.grid.unep.ch URL original source: http://www.worldbank.org/data/
Rental data for San Francisco 2br
The map data is derived from the United Nations Environment Programme (UNEP) for the years 1990, 1995, 2000, and 2005. The map shows the concentration of the population within 100 kilometers of coast by country measured in thousands of people. Online resource: http://geodata.grid.unep.ch URL original source: http://geodata.grid.unep.ch
The map data is derived from the United Nations Environment Programme (UNEP) for the years ranging from 1990 to 2001. The map shows the concentration of the total quantity of fongicides and/or bactericides used in or sold to the agricultural sector by country measured in metric tons. According to UNEP this is corresponds to the definition for pesticide consumption. The classifications of fongicides and bactericides include inorganics, dithiocarbamates, benzimidazoles, triazoles, diazoles, diazines, morpholines and others not elsewhere classified. Online resource: http://geodata.grid.unep.ch URL original source: http://apps.fao.org
This dataset shows the amount of federal assistance each state received. This assistance includes direct payments, grants, insurance, loans, and other types of federal aid. Data is available for the fiscal years 2000 through 2006. Source: http://www.fedspending.org FedSpending.org compiled the data using the U.S. Census Bureau's Federal Assistance Award Data System (FAADS), which was last released on 11/01/2006. After the close of each quarter of the Federal fiscal year, the Federal Assistance Award Data System (FAADS) produces a file of standardized data records on all types of financial assistance awards made by Federal agencies to all types of recipients during the indicated quarter. Each Federal fiscal year begins on October 1 of one calendar year and ends on September 30 of the year indicated.
The map data is derived from the United Nations Environment Programme (UNEP) for the years ranging from 1960 to 2000. The map shows the Official Development Assistance (ODA) and Official Aid by country measured in millions of current US dollors. According to UNEP, "aid includes both official development assistance (ODA) and official aid." More information can be found at: Online resource: http://geodata.grid.unep.ch URL original source: http://www.worldbank.org/data/
The map data is derived from the United Nations Environment Programme (UNEP) for the years ranging from 1982 to a projected 2010. The map shows the nuclear waste as annual spent fuel arisings by country measured in tons of heavy metal. According to UNEP, "nuclear waste presents annual spent fuel arisings in nuclear power plants of OECD countries." Also, "it should be noted that they do not represent all radioactive waste generated, and that amounts of spent fuel arisings depend on the share of nuclear electricity in the energy supply and on the nuclear plant technologies adopted." Online resource: http://geodata.grid.unep.ch URL original source: http://www.oecd.org
This dataset explores the number of non-resident arrivals to the United States in 2007 by month. The counts provide a look at the number of people coming into the country by month from the two bordering neighbors - Mexico and Canada. * ARRIVALS TO INTERIOR ONLY (SEE INTRODUCTION). ** Year end total from Banco de Mexico (includes to Interior *** Preliminary Canadian arrivals to the U.S. subject to future revisions based upon Statistics Canada's survey.
The map data is derived from the United Nations Environment Programme (UNEP) for the years ranging from 1970 to 2002. The map shows the concentration of the total youth literacy rate as a percent of people aged 15-24 by country. According to UNEP, "youth literacy rate (% people ages 15-24) is the percentage of people ages 15 -24 who can, with understanding, both read and write a short, simple statement related to their everyday life." Online resource: http://geodata.grid.unep.ch URL original source: http://www.worldbank.org/data/
The map is based on Federal Highway Administrations's (FHWA) National Bridge Inventory (NBI) data. The NBI data's lat-lons (DMS format) for bridges do not have good resolution and hence when the latitude and longitudes are converted to Decimal Degree (DD) format translates into some what approximate physical location. http://www.fhwa.dot.gov/
This dataset shows the estimated cost to repair bridges and roads by county. there is also a total cost but it doesn't necessarily match up with the total of bridge and road costs because the values were divided down to the county level from the state level. Data Source: http://www.fhwa.dot.gov/bridge/britab.htm
The map is base on hurricane tracks extracted for the month of September from the NOAA's Hurricane website. Hurricanes start as a low pressure disturbance off West-African cost. Some have theorized the seeding of a hurricane starts as a low pressure disturbance over Ethiopia.
Self-employment may be seen either as a survival strategy for those who cannot find any other means of earning an income or as evidence of entrepreneurial spirit and a desire to be ones own boss. The self-employment rates shown in this section reflect these various motives. Source URL: http://titania.sourceoecd.org/vl=2487979/cl=12/nw=1/rpsv/factbook/06-01-04.htm Source URL:
Employment is generally measured through household labour force surveys and, according to the ILO Guidelines, employed persons are defined as those aged 15 or over who report that they have worked in gainful employment for at least one hour in the previous week. Self-employed persons include employers, own-account workers, members of producers co-operatives, and unpaid family workers. The last of these are unpaid in the sense that they do not have a formal contract to receive a fixed amount of income at regular intervals, but they share in the income generated by the enterprise; unpaid family workers are particularly important in farming and retail trade. Note that all persons who work in corporate enterprises, including company directors, are considered to be employees. The rates shown here are the percentages of the self-employed in total civilian employment i.e., total employment less military employees. Source URL: http://titania.sourceoecd.org/vl=2487979/cl=12/nw=1/rpsv/factbook/06-01-04.htm
Long-term unemployment is here measured as those who have been unemployed for 12 months or more as a percentage of the total number of persons unemployed. Clearly, long-term unemployment is of particular concern to policy makers. Quite apart from the mental stress caused to the unemployed and their families, high rates of long-term unemployment indicate that labour markets are operating inefficiently and, in countries which pay generous unemployment benefits, the existence of long-term unemployment is a significant burden on government finances.
ORGANISATION FOR ECONOMIC CO-OPERATION AND DEVELOPMENT Fisheries make an important contribution to sustainable income, employment opportunities and overall food protein intake. In certain countries, including at least two OECD countries Iceland and Japan fish is the main source of protein intake. The figures refer to the tonnages of landed catches of marine fish, and cultivated fish and crustaceans taken from inland waters and sea tanks. Landed catches of marine fish for each country cover landings in both foreign and domestic ports. The table distinguishes between marine capture fisheries and aquaculture because of their different production systems and growth rates.
This data set illustrates the mean and median hourly wage estimates as well as the mean annual wage estimates for sales and related occupations across the US. http://www.bls.gov/oes/current/oessrcma.htm August 17, 2007
Diseases of the Respiratory System: Effects are generally irritation and reduced lung function with increased incidence of respiratory disease, especially in more susceptible members of the population such as young children, the elderly and asthmatics. Diseases of the Respiratory System includes: ICD-9 BTL codes B31-B32, ICD-9 code CH08 for some ex-USSR countries, ICD-9 code C052 for China, ICD-10 codes J00-J99, European mortality indicator database (HFA-MDB), available at www.euro.who.int, for missing figures for some european countries: indicator "3250 Deaths, Diseases of the Respiratory System" The original dataset uses a value of -9999 to indicate no data available, i have substituted a value of 0. Online resource: http://geodata.grid.unep.ch URL original source: http://www3.who.int/whosis/mort/text/download.cfm?path=whosis,evidence,whsa,mort_download&language=english
This data set illustrates the rankings of the best places to work within the Federal Government for 2007. Data for 2005 and the percent change between the given years is also present. http://bestplacestowork.org/BPTW/rankings/index.php?t=scores_large&c=index August 31, 2007
This dataset shows the hometowns of US Olympic Gold medal winners by their Sport. This dataset show All Americans who have won Gold Medals in 'Athletics', which is the classification for Track and Field events and others. Data was found online at Wikipedia, and it isn't perfect. i was able to geocode about 100 of the almost 150 gold medalists. Source URL: http://en.wikipedia.org/wiki/Category:Olympic_gold_medalists_for_the_United_States
This Dataset Tally's up the number of Olympic Gold medal winners per state. if an athlete has earned multiple medals, they only count as one. Its just the way it works out. anyways, this was pulled from Wikipedia.org, and is incomplete, these aren't total counts, these are just counts that i could find data for. If you'd like to try to do better, feel free. Source URL: http://en.wikipedia.org/wiki/Category:Olympic_gold_medalists_for_the_United_States
This data set illustrates the best places to find a restroom in the great state of New Hampshire. http://www.safe2pee.org/beta/ September 6, 2007
Top 20 Barley Producers in 2006 of the world, as reported by the United States Department of Agriculture - Foreign Agricultural Service. Data source: USDA-FAS, Production, Supply and Distribution (PS&D) database. http://www.fas.usda.gov/psdonline/psdHome.aspx Accessed on 12 Sept. 2007. * Note: European Union value was given to each of the 27 countries currently in the EU.
This data set illustrates the number of dams by country. http://www.worldwater.org/data.html# September 12, 2007
This dataset shows the locations based on street addresses of all of the Ice Rinks in the State of Vermont. The raw data was geocoded from its original source at: http://www.arenamaps.com/arenas/Vermont.htm
This is a compilation of the lat/longs of Arkansas campgrounds and RV parks. There is one for each state. The source is Campusa.com
This is a compilation of the lat/longs of Connecticut campgrounds and RV parks. There is one for each state. The source is Campusa.com
This is a compilation of the lat/longs of Delaware campgrounds and RV parks. There is one for each state. The source is Campusa.com
This is a compilation of the lat/longs of Iowa campgrounds and RV parks. There is one for each state. The source is Campusa.com
This is a compilation of the lat/longs of Kansas campgrounds and RV parks. There is one for each state. The source is Campusa.com
This dataset depicts the number of adopted children during the October 1, 2004 - September 30, 2005 time period. The numbers are categorized and broken down by state. The male and female figures are the percentage that each makes up of the total number of those adopted. This data was collected at: http://www.acf.hhs.gov/programs/cb/stats_research/afcars/statistics/gender_tbl1_2005.htm Access Date November 13, 2007.
This dataset represents year 2000 MODIS MOD14 fire detections for the geographic area covering the conterminous United States, Alaska, Hawaii, Canada and northern Mexico. The detections are obtained using both Terra MODIS and Aqua MODIS data collected and processed as a cooperative effort between the USDA Forest Service Remote Sensing Applications Center, the NASA-Goddard Space Flight Center Rapid Response Project and the University of Maryland. Purpose: These fire detection data are provided by NASA and distributed by the USDA Forest Service MODIS Active Fire Mapping Program (http://activefiremaps.fs.fed.us/gisdata.php?area=na). These data are intended to provide a synoptic view of active fires for the specified time period. These data are collected at a spatial resolution of 1 kilometer and therefore are only intended for geographic display and analysis at the national and regional levels. No responsibility is assumed by the USDA Forest Service in the use of these data. http://activefiremaps.fs.fed.us/fireptdata/modisfire_2000.htm
The poly shapefile has data for total number of business tax returns (electronic and paper filing) by type of businesses for the lower 48 state counties for the year 2006. The types of businesses include corporations, s-corporations, partnerships, estates and trusts. The data also has count of approved and active tax preparation entities that transmit returns electronically. They are referred to as ERO (Electronic Return Originators). Note: -99 refers to number of business tax returns less than 10.
Presents data from the National Inmate Survey (NIS), 2007, conducted in 146 State and Federal prisons between April and August 2007, with a sample of 23,398 inmates. The report and appendix tables provide a listing of State and Federal prisons ranked according to the incidence of prison rape, as required under the Prison Rape Elimination Act of 2003. Facilities are listed by the prevalence and incidence of sexual victimization in each facility, as reported by inmates during a personal interview and based on activity since admission to the facility or in the 12 months prior to the interview. The report includes national-level and facility-level estimates of nonconsensual sexual acts, abusive sexual contacts, inmate-on-inmate and staff-on-inmate victimization, and level of coercion. It also includes estimates of the standard error for selected measures of sexual victimization. Data from jail inmates collected in the National Inmate Survey will be completed in January 2008, with a report ranking facilities expected in April 2008. National Inmate Survey (NIS) is part of the BJS National Prison Rape Statistics Program to gather mandated data on the incidence of prevalence of sexual assault in correctional facilities under the Prison Rape Elimination Act of 2003 (P.L. 108-79). The Act requires a 10% sample of correctional facilities to be listed by incidence of sexual assault. Data are collected directly from inmates in a private setting using Audio Computer-Assisted Self Interview (ACASI) technology with a laptop touchscreen and an audio feed to maximize inmate confidentiality and minimize literacy issues. The sample includes approximately 150 state and federal prison facilities and 300 jail facilities, and between 80,000 to 90,000 individual inmate interviews. The first year of collection is to be completed by year end 2007. For more information on this data please go to: http://www.ojp.usdoj.gov/bjs/abstract/svsfpri07.htm
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
The poly shapefile has for the statistics of the 2006 individual tax returns at county level for the lower 48 states. The stats show the number of tax returns, the number of refunds, number of Electronic and Paper tax returns, Total Avg. Adjusted Gross Income (AGI) etc. Look for part 2 and part 3 of the stats file elsewhere on the Finder!
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the price and expenditure figures on both coal and retail electricity use in the United States. This information is broken down to a state level. The figures on prices are in Nominal dollars per million BTU and the Expenditures being on a Million Nominal Dollars Scale. This information was made available by the EIA: Energy Information Administration. This information is for the year 2005.
The poly shapefile has individual income tax return stats at county level released by IRS. The statistics include the Total of average AGI (Aggregate Gross Income), count of direct deposits, count of Earned Income Tax returns (EITC), total of average Tax refunds, count of tax returns with Schedule C attached, count of tax returns with Schedule F attached. You may find other tax related stats uploaded to Finder! as Part 1 and Part 3.
The poly shapefile has individual income tax return stats at county level released by IRS. The statistics include the count of returns by age 30, 30 to 44, 45 to 60 and 60 plus, also include count of "single" returns, "Married and Joint returns", "Head of Household returns". count of tax returns with Schedule C (business investment profit/loss) attached, count of tax returns with Schedule F attached (farm investment profit/loss). You may find other tax related stats uploaded to Finder! as Part 1 and Part 2.
This data comes from the Survey on Sexual Violence, 2006, an administrative records collection of incidents of inmate-on-inmate and staff-on-inmate sexual violence reported to correctional authorities. This dataset in particular focuses on allegations of inmate-on-inmate sexual violence reported by State or Federal prison authorities by State. Between January 1 and June 30, 2007, BJS completed the third annual national survey of administrative records in adult correctional facilities, covering calendar year 2006. Although the results were limited to incidents reported to correctional officials, the survey provides an understanding of what officials know, based on the number of reported allegations, and the outcomes of follow-up investigations. By comparing results of the 2006 survey with those from 2004 and 2005, BJS is able to assess trends in sexual violence for the first time since the Act was passed. AL, AK, GA, MS, NV, NC, VA, WI: Allegations of abusive sexual contacts could not be counted separately from allegations of nonconsensual sexual acts. MT: Includes consensual contact between inmates. SC, WV: Allegations limited to substantiated occurrences only. For more information on this data please go to: http://www.ojp.usdoj.gov/bjs/abstract/svrca06.htm
This data comes from the Survey on Sexual Violence, 2006, an administrative records collection of incidents of inmate-on-inmate and staff-on-inmate sexual violence reported to correctional authorities. This dataset in particular focuses on allegations of staff-on-inmate sexual violence reported by State or Federal prison authorities by State. Between January 1 and June 30, 2007, BJS completed the third annual national survey of administrative records in adult correctional facilities, covering calendar year 2006. Although the results were limited to incidents reported to correctional officials, the survey provides an understanding of what officials know, based on the number of reported allegations, and the outcomes of follow-up investigations. By comparing results of the 2006 survey with those from 2004 and 2005, BJS is able to assess trends in sexual violence for the first time since the Act was passed. NV, NJ, NM, NC, RI: Reports of staff sexual misconduct may include reports of staff sexual harassment. TX: Reports of staff sexual harassment are not recorded in a central database. For more information on this data please go to: http://www.ojp.usdoj.gov/bjs/abstract/svrca06.htm
irish ireland eircom wifi hotspots
This dataset was compiled from the ATF 2007 report on firearms trace data. The numbers provided represent the top 15 source states of firearms for each state. The number and percentage of out of state guns are also calculated.
This dataset displays characteristics regarding state level sub prime loans. There are over 50 characteristics regarding a wide range of loan, housing, ant mortgage information. Included are the number of sub prime loans, foreclosure, and the number of ARM loans are some of the highlights. This data was made available by the Federal Reserve Bank of New York. Source: FirstAmerican CoreLogic, LoanPerformance Data, U.S. Census Bureau, and Federal Reserve Bank of New York (a) Statistics calculated on first-lien and active (includes REO) loans. (b) Statistics calculated on first-lien, owner-occupied, active (includes REO) loans. (c) 'Prepayment penalty in force' denotes that the loan age is less than the prepayment penalty term. (d) Statistics calculated on first-lien, owner-occupied, active (includes REO), variable rate loans.
This dataset was compiled from the ATF 2007 report on firearms trace data. The numbers provided represent numbers of firearms from each state (when they are in the top 15 source states) to other states. Other statistics are also calculated.
This dataset examines the number of unidentified persons reported to the Centers for Disease Control and Preventions (CDC) National Death Index (NDI), by State, from 1980 to 2004. This report also looks at the number of unidentified human remains reported to the Federal Bureau of Investigations (FBI) National Crime Information Center (NCIC) Unidentified Person File. It describes the characteristics by race and gender and the manner of death. Highlights include the following: Between 1980 and 2004, about 10,300 unidentified human remains were reported to the National Death Index (NDI). Almost three-quarters of unidentified persons were reported by 5 states; Arizona, California, Florida, New York, and Texas. Of the 2,900 National Crime Information Center records that contained data on the manner of death, 27% were ruled homicides; 12%, accidental deaths; 7%, natural causes; and 5%, suicides. The majority of unidentified persons were white (70%); blacks made up 15% of unidentified persons; and race could not be determined in 13% of the cases. For more information about this data go to: http://www.ojp.usdoj.gov/bjs/abstract/uhrus04.htm
his data was downloaded from the Cuban website in March of 2008. All missing data is represented as -1. The selection of data for different years varies. The National Center of Statistics and the National Center of Information of Medical Sciences offer health statistics corresponding to the years 1995, 1996, 1997, 1998, 1999 , 2000 , 2001 , 2002 , 2003 , 2004, 2005 y 2006. The documents contain an important volume of statistical information about the fundamental components of the state of health of the Cuban population, resources, services, and the training of qualified personal. This has been published for 23 consecutive years. The indicators presented come from the following information sources: * Demographic publications from the National Office of Statistics * System of Information of National Statistics * System of Information of Statistics about the health sector * Direction of ambulatory attention (referencing family doctors) * National direction of Teaching (doctors and dentists in residence) * Registry of health professionals
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
Russ Nelson's GPS Tracks from 12/05 trip to India http://www.worldwindcentral.com/wiki/User:RussNelson
The poly shapefile shows results of Democratic primary held on 3rd June, 2008 at county level. It also has percent votes won by Clinton and Obama. The "unconfirmed" or "unverified" results are from the South Dakota Secretary of State's website. These were scraped and geocoded to produce the shape file.
This dataset shows what guidelines states hold in denying someone the opportunity to purchase or possess a firearm within their state as of December 31st, 2005. The categories for denial include felonies, misdemeanors, fugitive status, mental illness, court order, drug abuse, alcohol abuse, minor/underage, juvenile offender, and alien status. Each state has their own guidelines. A yes in a category means that the state prohibits someone of this status from purchasing or possessing a firearm. A No means that they are allowed. The categories of prohibited persons in the Federal Gun Control Act (GCA) are the prevailing minimum nationwide. Firearm transfer to or possession by such persons is unlawful. State statutes may include additional or more restrictive prohibitions. These prohibitory laws are intended to prevent firearm possession or purchase by persons believed to be incapable of handling a weapon in a safe and legal manner. In some cases Federal and State laws allow a prohibited person to regain firearm rights. Survey of State Procedures Related to Firearm Transfers, 2005 This entire report provides an overview of the firearm check procedures in each State and State interaction with the National Instant Criminal Background Check System (NICS) operated by the FBI. The report summarizes issues about State procedures, including persons prohibited from purchasing firearms, restoration of rights of purchase to prohibited persons, permits, prohibited firearms, waiting periods, fees, and appeals. Supplemental tables contain data on 2005 applications to purchase firearms and rejections, as well as tabular presentations of State-by-State responses. More information can be obtained by following the link to the source url.
The poly shapefile shows "unofficial" results of the Democratic and Republican primary at county level posted on the Montana secretary of state's website. The results were scraped and geocoded to produce the shapefile. Note that Lewis and Clark county results were not available at 3:44 AM on 06/04/2008.
This file describes the boundaries of the first level administrative regions (Provinces) in Iraq.
This file describes the borders of the first and second level administrative boundaries of Iraq.
This dataset explores the USDA (United States Department of Agriculture) Food and Nutrition Service Program - Food Distribution Program on Indian Reservations by recording the number of persons participating by state for the years 2003-2007. *FDPIR is an alternative to the Food Stamp Program for Indian tribal organizations which prefer food distribution. Participation numbers are 12-month averages. Data are subject to revision.
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This dataset explores the United States Department of Agriculture (USDA) Food and Nutrition Service Program - Food Stamp Program by recording the average monthly participation rate by state for the years 2003 - 2007. * The following outlying areas receive Nutrition Assistance Grants which provide benefits analogous to the Food Stamp Program: Puerto Rico, American Samoa, and the Northern Marianas. The number of persons participating is reported monthly. Annual averages are the sums divided by twelve. All data are subject to revision.
This dataset explores the United States Department of Agriculture (USDA) Food and Nutrition Service Program - Food Stamp Program by recording the average monthly participation by households for the years 2003-2007 by state. * The following outlying areas receive Nutrition Assistance Grants which provide benefits analogous to the Food Stamp Program: Puerto Rico, American Samoa, and the Northern Marianas. The number of households participating is reported monthly. Annual averages are the sums divided by twelve. All data are subject to revision.
This dataset explores the United States Department of Agriculture (USDA) Food and Nutrition Service Program - Food Stamp Program by recording the benefits each state receives for the years 2003-2007. * The following outlying areas receive Nutrition Assistance Grants which provide benefits analogous to the Food Stamp Program: Puerto Rico, American Samoa, and the Northern Marianas. All data are subject to revision.
This dataset explores the United States Department of Agriculture (USDA) Food and Nutrition Service Program - Food Stamp Program by recording the average monthly benefit per person by state for the years 2003 - 2007. * The following outlying areas receive Nutrition Assistance Grants which provide benefits analogous to the Food Stamp Program: Puerto Rico, American Samoa, and the Northern Marianas. Annual averages are total benefits divided by total annual participation. All data are subject to revision.
This dataset explores the United States Department of Agriculture (USDA) Food and Nutrition Service Program - Food Stamp Program by recording the average monthly benefit by household for the years 2003-2007 by state. * The following outlying areas receive Nutrition Assistance Grants which provide benefits analogous to the Food Stamp Program: Puerto Rico, American Samoa, and the Northern Marianas. Annual averages are total benefits divided by total annual household participation. All data are subject to revision.
This dataset explores the United States Department of Agriculture (USDA) Food and Nutrition Service Program - Food Stamp Program by recording the number of persons participating in February 2007, January 2008 and February 2008. Then, a calculation of change over time is achieved. * The following areas receive Nutrition Assistance Grants which provide benefits analogous to the Food Stamp Program: Puerto Rico, American Samoa, and the Northern Marianas. January and February 2008 data are preliminary and are subject to significant revision.
This dataset explores the United States Department of Agriculture (USDA) Food and Nutrition Service Program - Food Stamp Program by recording the number of households participating in February 2007, January 2008, February 2008 and then calculates the change over time by state. * The following areas receive Nutrition Assistance Grants which provide benefits analogous to the Food Stamp Program: Puerto Rico, American Samoa, and the Northern Marianas. January and February 2008 data are preliminary and are subject to significant revision.
This dataset explores the United States Department of Agriculture (USDA) Food and Nutrition Service Program - Commodity Supplemental Food Program by recording the total participation by state for the years 2003-2007. The Commodity Supplemental Food Programs (CSFP) is a Federally funded program, which works to improve the health of low-income pregnant and breastfeeding women, other new mothers up to one year postpartum, infants, children up to age six, and elderly people at least 60 years of age by supplementing their diets with nutritious USDA commodity foods. It provides food and administrative funds to States to supplement the diets of these groups. * If a State operated for less than a full year, its annual average does not include non-operating months (e.g., if it operated for two month, the annual participation sum is divided by two rather than twelve). Consequently, the sum of the States exceeds the Total for most years. In FY 2005, Louisiana participation is an 8 month average; there was no activity in September due to Hurricane Katrina. In FY 2006, its participation gradually rose from under 6,000 in the initial month to 62,000 during the last two months. CSFP was originally a food distribution alternative to the WIC Program which provided supplemental food packages to women, infants and children. It began serving elderly persons on a pilot basis in FY 1982. By FY 1999, most participants were elderly. FY 2007 data are preliminary; all data are subject to revision.
This dataset explores the United States Department of Agriculture (USDA) Food and Nutrition Service Program's "The Emergency Food Assistance Program (TEFAP)" - Total Food Cost by state for the fiscal years 2003-2007. TEFAP is a Federal program that helps supplement the diets of low-income needy persons, including elderly people, by providing them with emergency food and nutrition assistance. *Food costs are the value of entitlement and bonus commodities delivered to State warehouses during the fiscal year. Data are subject to revision.
This dataset explores the United States Department of Agriculture (USDA) Food and Nutrition Service Program - WIC Program total participation by state for the fiscal years 2003-2007. WIC (women, infants, children) provides Federal grants to States for supplemental foods, health care referrals, and nutrition education for low-income pregnant, breastfeeding, and non-breastfeeding postpartum women, and to infants and children up to age five who are found to be at nutritional risk. * WIC is the common abbreviation for Special Supplemental Nutrition Program for Women, Infants and Children. Participation data are 12-month averages. The sum of the substates may not add to the state total due to rounding. Data are subject to revision.
This dataset explores the United States Department of Agriculture (USDA) Food and Nutrition Service Program - WIC Program Total Food Cost by state for the fiscal years 2003-2007. WIC provides Federal grants to States for supplemental foods, health care referrals, and nutrition education for low-income pregnant, breastfeeding, and non-breastfeeding postpartum women, and to infants and children up to age five who are found to be at nutritional risk. *Food costs do not include Farmers Market benefits. Data are subject to revision.
This dataset provides highly detailed (Block Level) views of various demographics for Manhattan, New York city. this dataset includes information on age, race, sex, income, housing, and various other attributes. This data comes from the 2000 Us Census and was joined to the Census Tiger line files to create the output. enjoy!
This dataset displays ridership statistics for major transit agencies across the USA for the first quarter of 2008 and compares them to the same figures from 2007. The findings show that the use of Public Transportation in the USA has increased dramatically in the past year. The Data comes from the American Public Transportation Association. The American Public Transportation Association (APTA) announced that Americans took 2.6 billion trips on public transportation in the first three months of 2008. This is almost 85 million more trips than last year for the same time period. Last year 10.3 billion trips were taken on U.S. public transportation the highest number of trips taken in fifty years. In the first quarter of 2008, public transportation continued to climb and rose by 3.3 percent. In contrast, the Federal Highway Administration has reported that the vehicle miles traveled on our nations roads declined by 2.3 percent in the first quarter. Light rail (modern streetcars, trolleys, and heritage trolleys) had the highest percentage of ridership increase among all modes, with a double digit 10.3 percent increase for the first quarter. Commuter rail posted the second largest ridership increase at 5.7 percent. Heavy rail (subways and elevated trains) ridership increased by 4.4 percent. Bus ridership saw an increase of 2 percent nationwide. Terms: A Trip is a trip on one transit vehicle regardless of the type of fare paid or transfer presented MODE CODES MB Bus TB Trolleybus DR Demand Response VP Vanpool JT Jitney HR Heavy Rail LR Light Rail CR Commuter Rail IR Intermediate Rail FB Ferryboat AG Automated Guideway IP Inclined Plane TOTAL Agency Total Blank Entries = Not calculable due to zero base or missing data
This dataset explores the United States Department of Agriculture (USDA) Food and Nutrition Service Program - WIC program average annual benefit per person by state for the fiscal years 2003-2007. WIC provides Federal grants to States for supplemental foods, health care referrals, and nutrition education for low-income pregnant, breastfeeding, and non-breastfeeding postpartum women, and to infants and children up to age five who are found to be at nutritional risk. *WIC is the common abbreviation for Special Supplemental Nutrition Program for Women, Infants and Children. The average monthly benefit equals total annual food cost divided by average monthly participation, divided by 12. Farmers Market benefits are not included. Data are subject to revision.
This dataset explores the United States Department of Agriculture (USDA) Food and Nutrition Service Program - WIC Program Nutrition Service and Administrative Costs by state for fiscal years 2003-2007. WIC provides Federal grants to States for supplemental foods, health care referrals, and nutrition education for low-income pregnant, breastfeeding, and non-breastfeeding postpartum women, and to infants and children up to age five who are found to be at nutritional risk. * WIC is the common abbreviation for Special Supplemental Nutrition Program for Women, Infants and Children. The above costs include certifying participant eligibility, nutrition education, breastfeeding promotion, health care coordination and referral, drug abuse education, clinic operations, food delivery and warehousing, vendor monitoring, financial management, program integrity, and systems development and operations. Data are subject to revision.
This data set illustrates the earthquake that have happened between 1998 and 2007. Attributes included are the distance, region, direction, location, date, time, and magnitude. Source: USGS URL: http://www.swivel.com/data_sets/show/1009513 http://pasadena.wr.usgs.gov/shake/ca/archives.html Date Accessed: October 10th, 2007
This dataset is a boundary file obtained from the US Census Tiger Shape file library which can be found online. I downloaded the File for California then Used ESRI ArcMap to cut out the San Francisco MSA from Californai. Census demographic data was joined to the boundaries. This file includes attributes on Race and Populations and other demographic data.
Test data to see how SHP file imports work.
More test
The poly shapefile shows count of pledged and unpledged (super delegates) for major Democratic candidates as well as the totals for each and totals for the state. The candidates include Obama, Clinton, Edwards while there are a few Unpledged (Super) delegates who have not declared support to either Obama or Clinton.
The poly shapefile shows the count of pledged and unpledged (super) delegates by candidates and by state for the 2008 Republican Presidential primary campaign.
This dataset displays the inmate populations for all the Federal Prisons throughout the United States on 6.5.08. This weekly Population Report can be found on the Bureau of Prisons website at bop.gov. These facilities are positioned by their lat/lon and this dataset is updated on a weekly basis.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset looks at age and juvenile offender status as a means of restricting the purchase and possession of firearms in the USA as of 12.31.2005. This data displays the minimum age you must be to purchase/possess a handgun or a long gun in every state in the USA. It also displays if a state restricts juvenile offenders from purchasing/possessing a firearm, handguns or long guns. Also provided in the data is the statute within the States legislation that states the firearm purchase/possession restriction. Handgun: A firearm that has a short stock and is designed to be held and fired by the use of a single hand, such as a pistol or revolver. Long gun: A firearm with a barrel extended to around 30 inches to improve accuracy and range, and commonly with a shoulder butt, designed to be fired with two hands, such as a rifle or shotgun. This data comes from Survey of State Procedures Related to Firearm Transfers, 2005. The Survey provides an overview of the firearm check procedures in each State and State interaction with the National Instant Criminal Background Check System (NICS) operated by the FBI. The report summarizes issues about State procedures, including persons prohibited from purchasing firearms, restoration of rights of purchase to prohibited persons, permits, prohibited firearms, waiting periods, fees, and appeals. Supplemental tables contain data on 2005 applications to purchase firearms and rejections, as well as tabular presentations of State-by-State responses. This is one of a series of reports published from the BJS Firearm Inquiry Statistics (FIST) project, managed under the BJS National Criminal History Improvement Program (NCHIP). This is a web only document.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset shows the number of workers in 25 categories of occupation. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level.
This dataset shows the number of workers in 25 categories of occupation. The information is mapped according to place of work. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level.
This dataset looks at firearm restrictions across the USA by state. If a state has a restriction on a certain weapon than possession is prohibited or allowed only under limited exceptions, or there is a registration requirement. Surveyed Weapons: Assault weapon: A semiautomatic firearm with a large-capacity magazine and special features common to military weapons. Machine gun: (automatic firearm) A firearm that shoots, is designed to shoot, or can be readily restored to shoot, automatically more than one bullet, without manual reloading, by a single function of the trigger. Short-barreled rifle: A rifle having one or more barrels less than 16 inches in length, and any weapon made from a rifle, whether by alteration, modification, or otherwise, if such weapon, as modified, has an overall length of less than 26 inches. Short-barreled shotgun: A shotgun having one or more barrels less than 18 inches in length, and any weapon made from a shotgun, whether altered or modified, if such weapon has an overall length of less then 26 inches. Unsafe handgun: (Saturday night special or junk gun) A handgun with a barrel length under 4 inches that is easily concealable and not effective for sporting or self defense purposes due to its poor quality of construction, inaccuracy, and lack of essential safety features. Definitions are from or adapted from Federal and State Codes (a jurisdictions laws should be consulted for specific definitions). This data comes from Survey of State Procedures Related to Firearm Transfers, 2005. The Survey provides an overview of the firearm check procedures in each State and State interaction with the National Instant Criminal Background Check System (NICS) operated by the FBI. The report summarizes issues about State procedures, including persons prohibited from purchasing firearms, restoration of rights of purchase to prohibited persons, permits, prohibited firearms, waiting periods, fees, and appeals.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset displays the total exports from the respective state for all merchandise. This data is available on a global scale, and in available for the range spanning 1999 - 2007. The figures are given in the dollar amount. Presented by the Office of Trade and Industry Information (OTII), Manufacturing and Services, International Trade Administration, U.S. Department of Commerce. The State Export Data are available as full year totals for 1999 through 2007 and Year-To-Current-Quarter for 2007and 2008. "Year-To-Current-Quarter" is defined as January 1 through the last day of the most recent quarter in the system. ( March 31, June 30, September 30 or December 31 for the specified year). Year-To-Current-Quarter data are not available until First-Quarter 2008 data becomes available. Data are available for individual states or U.S. regions. You can tabulate these statistics using any of the NAICS classification systems (up to the three-digit level). State Export Data section offers four options: Global Patterns of a State's Exports, which displays (1) a world map showing export patterns from a state or U.S. region and (2) a table sortable by trade partner or by individual year data. State-by-State Exports to a Selected Market, which displays (1) a U.S. map showing states exporting a product to a world market and (2) a table sortable by exporting state or by individual year data. Export Product Profile to a Selected Market, which displays (1) a pie chart showing major exports from a state to a world market and (2) a table sortable by exported product or by individual year data.
This dataset represents the top five countries to import into Canada for the years 1995 - 2002. This data is from Statistics Canada. The total imports for each year are as follows in million of Canadian dollars: 1995 - $ 225,553, 1996 - $232,566, 1997 - $272,946, 1998 - $298,386, 1999 - $320,409, 2000 - $356,862, 2001 - $343,076, 2002 - $348,445.
This dataset explores the Statistics Canada report on the top 5 importing countries by percent into Canada for the years 1995-2002.
This dataset from the Energy Information Administration displays figures on the energy production and consumption estimates in trillion Btu by state for the year 2005. Included in this data is the total production, total consumption, and the difference between the two. All of which are measured on a Trillion Btu scale. The difference is total consumption minus total production, and represents interstate flows, net imports, and stock changes. Data is available for all 50 United States and the District of Columbia.
This is a dataset of 424 newsstands in New York City compiled from superpages.com. Attributes name, address, business categories and phone number. Please not that this is not all of the newsstands in New York City and that some of the newsstands listed may not actually be a newsstand or may no longer be in business.
This dataset displays energy production estimates in trillion Btu by source and by state for the year 2005. Included in the data are figures on coal, natural gas, crude oil, nuclear, renewable, and total energy production. All of which are on a trillion Btu Scale. Data is available for all 50 US states, and the District of Columbia. This information is for the year 2005. Side Notes: Includes coal recovery, market production of natural gas, lease condensate included in the crude oil, and renewable energy consumption is used as proxy.
This dataset shows actual locations of newsstands throughout New York City, with actual contact information, however I've added a few columns of fake data representing sales of magazines at that newsstand. the numbers are randomly generated, and fake.
The poly shapefile shows results of the Washington state democratic presidential primary results by county. It includes vote total and percent of votes for not only Clinton and Obama, but also for other candidates who had then dropped out of race, such as Edwards, Richardson, Biden, Dodd, Gravel, Kucinich. In fact Gravel since then has left Democrats and tried unsuccessfully to win nomination of the Libertarian party. Bob Barr, a former republican congressman from Georgia and somtime ACLU activits, won the nomination.
The poly shapefile shows results of Idaho presidential primary results by county. It includes both Democratic and Republican candidates and percent votes received by each candidate. Note that in Idaho, one can vote for None of the Above in both the Democratic and Republican primaries.
The poly shapefile shows results of the Oregon 2008 presidential primary by county for major candidates of both parties. Also included is a statistic for number of write-in votes by party.
The poly shapefile shows results of Nebraska presidential primary by county for Clinton, Obama and McCain, as well their respective share of votes.
The poly shapefile shows results of the South Carolina Democratic primary by Congressional Districts. It also has number of delgates allocated to Clinton and Obama as well as share of votes by each candidate.
This dataset explores the Statistics Canada data on province accounting and bookkeeping. Notes: - North American Industry Classification System (NAICS), 2002 - 54121. - Estimates for the most recent year are preliminary. Preliminary data are subject to revision. Due to rounding, components may not add to total (where applicable). - Operating revenue excludes investment income, capital gains, extraordinary gains and other non-recurring items. - Operating expenses exclude write-offs, capital losses, extraordinary losses, interest on borrowing, and other non-recurring items. - Salaries, wages and benefits include vacation pay and commissions for all employees for whom a T4 slip was completed and the employer portion of employee benefits for items such as Canada/Qubec Pension Plan or Employment Insurance premiums. - Operating profit margin is derived as follows: operating revenue minus operating expenses, expressed as a percentage of operating revenue. Source: Statistics Canada, CANSIM, table (for fee) 360-0007 and Catalogue no. 63-018-X. Last modified: 2008-06-02.
The fossil fuel webmap contains locations of Australian fossil fuel power stations that are greater than 20MW. Each power station has such information as fuel type, technology used, size (MW), ownership, latitude and longitude and data source. Web links and site photographs are provided where possible. A download feature is provided for clients who want the base data.
This coverage represents year MODIS fire detections for the 7 day period specified for the geographic area covering the conterminous United States, Alaska, Hawaii, Canada and northern Mexico. The detections are obtained using both TERRA MODIS and AQUA MODIS data are collected and processed as a cooperative effort between the USDA Forest Service Remote Sensing Application Center, NASA-Goddard Space Flight Center and the University of Maryland. These fire detection data are collected for the USDA Forest Service MODIS Active Fire Mapping Program (http://activefiremaps.fs.fed.us). These data are intended to provide a synoptic view of active fires for the past and present over the specified time period. These data are collected at a spatial resolution of 1 kilometer and therefore are only intended for geographic display and analysis at the national and regional levels. No responsibility is assumed by the USDA Forest Service in the use of these data.
This dataset explores the Statistics Canada data on province accounting and bookkeeping. Notes: - North American Industry Classification System (NAICS), 2002 - 54121. - Estimates for the most recent year are preliminary. Preliminary data are subject to revision. Due to rounding, components may not add to total (where applicable). - Operating revenue excludes investment income, capital gains, extraordinary gains and other non-recurring items. - Operating expenses exclude write-offs, capital losses, extraordinary losses, interest on borrowing, and other non-recurring items. - Salaries, wages and benefits include vacation pay and commissions for all employees for whom a T4 slip was completed and the employer portion of employee benefits for items such as Canada/Qubec Pension Plan or Employment Insurance premiums. - Operating profit margin is derived as follows: operating revenue minus operating expenses, expressed as a percentage of operating revenue. Source: Statistics Canada, CANSIM, table (for fee) 360-0007 and Catalogue no. 63-018-X. Last modified: 2008-06-02.
The fossil fuel webmap contains locations of Australian fossil fuel power stations that are greater than 20MW. Each power station has such information as fuel type, technology used, size (MW), ownership, latitude and longitude and data source. Web links and site photographs are provided where possible. A download feature is provided for clients who want the base data.
This datasets displays the locations of all recorded earthquakes of a magnitude of 1 or greater around the world from the period of 6.2.08 to 6.9.08. The findings are from the US Geological Survey (USGS). Earthquake information is extracted from a merged catalog of earthquakes located by the USGS and contributing networks. Earthquakes will be broadcast within a few minutes for California events and within 30-minutes for world-wide events.
This dataset displays the locations of all operating renewable energy generators. The generators are classified by technology and by state. The renewables webmap contains locations of Australian renewable power stations that are greater than 3kW. Each power station has such information as fuel type, technology used, size (kW), ownership, latitude and longitude and data source. Web links and site photographs are provided where possible. A download feature is provided for clients who want the base data.
This dataset explores the Statistics Canada data on province accounting and bookkeeping. Notes: - North American Industry Classification System (NAICS), 2002 - 54121. - Estimates for the most recent year are preliminary. Preliminary data are subject to revision. Due to rounding, components may not add to total (where applicable). - Operating revenue excludes investment income, capital gains, extraordinary gains and other non-recurring items. - Operating expenses exclude write-offs, capital losses, extraordinary losses, interest on borrowing, and other non-recurring items. - Salaries, wages and benefits include vacation pay and commissions for all employees for whom a T4 slip was completed and the employer portion of employee benefits for items such as Canada/Qubec Pension Plan or Employment Insurance premiums. - Operating profit margin is derived as follows: operating revenue minus operating expenses, expressed as a percentage of operating revenue. Source: Statistics Canada, CANSIM, table (for fee) 360-0007 and Catalogue no. 63-018-X. Last modified: 2008-06-02.
This dataset explores the Statistics Canada data of accounting and bookkeeping by province. Notes: - North American Industry Classification System (NAICS), 2002 - 54121. - Estimates for the most recent year are preliminary. Preliminary data are subject to revision. Due to rounding, components may not add to total (where applicable). - Operating revenue excludes investment income, capital gains, extraordinary gains and other non-recurring items. - Operating expenses exclude write-offs, capital losses, extraordinary losses, interest on borrowing, and other non-recurring items. - Salaries, wages and benefits include vacation pay and commissions for all employees for whom a T4 slip was completed and the employer portion of employee benefits for items such as Canada/Qubec Pension Plan or Employment Insurance premiums. - Operating profit margin is derived as follows: operating revenue minus operating expenses, expressed as a percentage of operating revenue. Source: Statistics Canada, CANSIM, table (for fee) 360-0007 and Catalogue no. 63-018-X. Last modified: 2008-06-02.
This dataset explores the Statistics Canada data of accounting and bookkeeping by province. Notes: - North American Industry Classification System (NAICS), 2002 - 54121. - Estimates for the most recent year are preliminary. Preliminary data are subject to revision. Due to rounding, components may not add to total (where applicable). - Operating revenue excludes investment income, capital gains, extraordinary gains and other non-recurring items. - Operating expenses exclude write-offs, capital losses, extraordinary losses, interest on borrowing, and other non-recurring items. - Salaries, wages and benefits include vacation pay and commissions for all employees for whom a T4 slip was completed and the employer portion of employee benefits for items such as Canada/Qubec Pension Plan or Employment Insurance premiums. - Operating profit margin is derived as follows: operating revenue minus operating expenses, expressed as a percentage of operating revenue. Source: Statistics Canada, CANSIM, table (for fee) 360-0007 and Catalogue no. 63-018-X. Last modified: 2008-06-02.
The accredited renewables webmap contains locations of Australian accredited renewable power stations that are greater than 3kW. Each power station has such information as fuel type, technology used, size (kW), ownership, latitude and longitude and data source. Web links and site photographs are provided where possible. A download feature is provided for clients who want the base data.
This dataset explores Statistics Canada's data on advertising and related service spending by province. Notes: - North American Industry Classification System (NAICS), 2002 - 5418. - Estimates for the most recent year are preliminary. Preliminary data are subject to revision. Due to rounding, components may not add to total (where applicable). - Operating revenue excludes investment income, capital gains, extraordinary gains and other non-recurring items. - Operating expenses exclude write-offs, capital losses, extraordinary losses, interest on borrowing, and other non-recurring items. - Salaries, wages and benefits include vacation pay and commissions for all employees for whom a T4 slip was completed and the employer portion of employee benefits for items such as Canada/Qubec Pension Plan or Employment Insurance premiums. - Operating profit margin is derived as follows: operating revenue minus operating expenses, expressed as a percentage of operating revenue. Source: Statistics Canada, CANSIM, table (for fee) 360-0003 and Catalogue no. 63-018-X. Last modified: 2008-03-07. The survey is currently administered as part of the Unified Enterprise Survey Program (UES).
This dataset explores Statistics Canada's data on advertising and related service spending by province. Notes: - North American Industry Classification System (NAICS), 2002 - 5418. - Estimates for the most recent year are preliminary. Preliminary data are subject to revision. Due to rounding, components may not add to total (where applicable). - Operating revenue excludes investment income, capital gains, extraordinary gains and other non-recurring items. - Operating expenses exclude write-offs, capital losses, extraordinary losses, interest on borrowing, and other non-recurring items. - Salaries, wages and benefits include vacation pay and commissions for all employees for whom a T4 slip was completed and the employer portion of employee benefits for items such as Canada/Qubec Pension Plan or Employment Insurance premiums. - Operating profit margin is derived as follows: operating revenue minus operating expenses, expressed as a percentage of operating revenue. Source: Statistics Canada, CANSIM, table (for fee) 360-0003 and Catalogue no. 63-018-X. Last modified: 2008-03-07. The survey is currently administered as part of the Unified Enterprise Survey Program (UES).
This dataset explores Statistics Canada's data on advertising and related service spending by province. Notes: - North American Industry Classification System (NAICS), 2002 - 5418. - Estimates for the most recent year are preliminary. Preliminary data are subject to revision. Due to rounding, components may not add to total (where applicable). - Operating revenue excludes investment income, capital gains, extraordinary gains and other non-recurring items. - Operating expenses exclude write-offs, capital losses, extraordinary losses, interest on borrowing, and other non-recurring items. - Salaries, wages and benefits include vacation pay and commissions for all employees for whom a T4 slip was completed and the employer portion of employee benefits for items such as Canada/Qubec Pension Plan or Employment Insurance premiums. - Operating profit margin is derived as follows: operating revenue minus operating expenses, expressed as a percentage of operating revenue. Source: Statistics Canada, CANSIM, table (for fee) 360-0003 and Catalogue no. 63-018-X. Last modified: 2008-03-07. The survey is currently administered as part of the Unified Enterprise Survey Program (UES).
This dataset explores Statistics Canada's data on advertising and related service spending by province. Notes: - North American Industry Classification System (NAICS), 2002 - 5418. - Estimates for the most recent year are preliminary. Preliminary data are subject to revision. Due to rounding, components may not add to total (where applicable). - Operating revenue excludes investment income, capital gains, extraordinary gains and other non-recurring items. - Operating expenses exclude write-offs, capital losses, extraordinary losses, interest on borrowing, and other non-recurring items. - Salaries, wages and benefits include vacation pay and commissions for all employees for whom a T4 slip was completed and the employer portion of employee benefits for items such as Canada/Qubec Pension Plan or Employment Insurance premiums. - Operating profit margin is derived as follows: operating revenue minus operating expenses, expressed as a percentage of operating revenue. Source: Statistics Canada, CANSIM, table (for fee) 360-0003 and Catalogue no. 63-018-X. Last modified: 2008-03-07. The survey is currently administered as part of the Unified Enterprise Survey Program (UES).
This dataset explores Statistics Canada's data on advertising and related service spending by province. Notes: - North American Industry Classification System (NAICS), 2002 - 5418. - Estimates for the most recent year are preliminary. Preliminary data are subject to revision. Due to rounding, components may not add to total (where applicable). - Operating revenue excludes investment income, capital gains, extraordinary gains and other non-recurring items. - Operating expenses exclude write-offs, capital losses, extraordinary losses, interest on borrowing, and other non-recurring items. - Salaries, wages and benefits include vacation pay and commissions for all employees for whom a T4 slip was completed and the employer portion of employee benefits for items such as Canada/Qubec Pension Plan or Employment Insurance premiums. - Operating profit margin is derived as follows: operating revenue minus operating expenses, expressed as a percentage of operating revenue. Source: Statistics Canada, CANSIM, table (for fee) 360-0003 and Catalogue no. 63-018-X. Last modified: 2008-03-07. The survey is currently administered as part of the Unified Enterprise Survey Program (UES).
Describes the number and share of the student population which own a cell phone by major region, including information about whether the students are employed.
Describes the number and share of cell phone owners by employment.
This is an updated (June 10, 2008) poly shapefile of the democratic primary results at congressional district level for the lower 48 states.
This dataset explores Statistics Canada data on adult correctional services, admissions to provincial, territorial and federal programs. These correctional services data are recorded by province and year, more years are available in Finder! .. : not available for a specific period of time. . : not available for any reference period. Note: Fiscal year (April 1 through March 31). Not all variables are applicable to or available for all jurisdictions. Inter-jurisdictional comparisons of the data should be made with caution. 1. May include intermittent sentences. 2. Typically includes offenders held in temporary detention for immigration purposes or parole suspension and generally excludes lock-up counts. 3. Excludes sentences of two years or more. 4. Represent the unique number of persons admitted to a particular legal status during the year and not the number of distinct admissions. 5. Estimated for 2002/2003. Source: Statistics Canada, CANSIM, table (for fee) 251-0002. Last modified: 2008-06-06.
This dataset explores Statistics Canada data on adult correctional services, admissions to provincial, territorial and federal programs. These correctional services data are recorded by province and year, more years are available in Finder! .. : not available for a specific period of time. . : not available for any reference period. Note: Fiscal year (April 1 through March 31). Not all variables are applicable to or available for all jurisdictions. Inter-jurisdictional comparisons of the data should be made with caution. 1. May include intermittent sentences. 2. Typically includes offenders held in temporary detention for immigration purposes or parole suspension and generally excludes lock-up counts. 3. Excludes sentences of two years or more. 4. Represent the unique number of persons admitted to a particular legal status during the year and not the number of distinct admissions. 5. Estimated for 2002/2003. Source: Statistics Canada, CANSIM, table (for fee) 251-0002. Last modified: 2008-06-06.
This dataset explores Statistics Canada data on adult correctional services, admissions to provincial, territorial and federal programs. These correctional services data are recorded by province and year, more years are available in Finder! .. : not available for a specific period of time. . : not available for any reference period. Note: Fiscal year (April 1 through March 31). Not all variables are applicable to or available for all jurisdictions. Inter-jurisdictional comparisons of the data should be made with caution. 1. May include intermittent sentences. 2. Typically includes offenders held in temporary detention for immigration purposes or parole suspension and generally excludes lock-up counts. 3. Excludes sentences of two years or more. 4. Represent the unique number of persons admitted to a particular legal status during the year and not the number of distinct admissions. 5. Estimated for 2002/2003. Source: Statistics Canada, CANSIM, table (for fee) 251-0002. Last modified: 2008-06-06.
This dataset explores Statistics Canada data on adult correctional services, admissions to provincial, territorial and federal programs. These correctional services data are recorded by province and year, more years are available in Finder! .. : not available for a specific period of time. . : not available for any reference period. Note: Fiscal year (April 1 through March 31). Not all variables are applicable to or available for all jurisdictions. Inter-jurisdictional comparisons of the data should be made with caution. 1. May include intermittent sentences. 2. Typically includes offenders held in temporary detention for immigration purposes or parole suspension and generally excludes lock-up counts. 3. Excludes sentences of two years or more. 4. Represent the unique number of persons admitted to a particular legal status during the year and not the number of distinct admissions. 5. Estimated for 2002/2003. Source: Statistics Canada, CANSIM, table (for fee) 251-0002. Last modified: 2008-06-06.
This dataset explores Statistics Canada data on adult correctional services, admissions to provincial, territorial and federal programs. These correctional services data are recorded by province and year, more years are available in Finder! .. : not available for a specific period of time. . : not available for any reference period. Note: Fiscal year (April 1 through March 31). Not all variables are applicable to or available for all jurisdictions. Inter-jurisdictional comparisons of the data should be made with caution. 1. May include intermittent sentences. 2. Typically includes offenders held in temporary detention for immigration purposes or parole suspension and generally excludes lock-up counts. 3. Excludes sentences of two years or more. 4. Represent the unique number of persons admitted to a particular legal status during the year and not the number of distinct admissions. 5. Estimated for 2002/2003. Source: Statistics Canada, CANSIM, table (for fee) 251-0002. Last modified: 2008-06-06.
Dataset contains the night sky brightness value from different locations in the world measured by observing orion. This from a project called GLOBE at Night organized by The Global Learning and Observations to Benefit the Environment (GLOBE) Program, Boulder, CO; the National Optical Astronomy Observatory (NOAO) in Tucson, AZ; Centro de Apoyo a la Didactica de la Astronomia (CADIAS) in Chile; Environmental Systems Research Institute, Inc. (ESRI); and the International Dark-Sky Association (IDA)with data from 65 countries
This dataset explores Statistics Canada data on Agriculture value added account, by province. Multiple years of data can be found on Finder! Source: Statistics Canada, CANSIM, table (for fee) 002-0004. Last modified: 2008-05-26. Find information related to this table (CANSIM table(s); Definitions, data sources and methods; The Daily; publications; and related Canadian Statistics tables).
This dataset explores Statistics Canada data on Agriculture value added account, by province. Multiple years of data can be found on Finder! Source: Statistics Canada, CANSIM, table (for fee) 002-0004. Last modified: 2008-05-26. Find information related to this table (CANSIM table(s); Definitions, data sources and methods; The Daily; publications; and related Canadian Statistics tables).
This dataset is from the website USA Election Polls. The data provide information from exit polls from the Democratic primaries in 2008 by state for many demographics including income and education. All values of -1 represent no available data.
Data on GDP Per capita of countries and their Human Development Index Ranking. The data is from the 2007/2008 United Nations Human Development Report.
This dataset is compiled from the Mexican Population and Household Census from 2005 (Conteo de Poblacion y Vivienda 2005). The data is at municipal level (of almost 2,000 municipalities) and is comprised of total population, population by age groups, population by sex, average age by sex and the male to female ratio. Where there were inconsistencies in municipality boundaries between the Mexican data and the available shapefile, the data have been combined in the appropriate fashion. The polygons that contain data from more than one municipality are labeled with all municipality names. Values of -1 represent no available data.
This dataset explores Statistics Canada data on Agriculture value added account, by province. Multiple years of data can be found on Finder! Source: Statistics Canada, CANSIM, table (for fee) 002-0004. Last modified: 2008-05-26. Find information related to this table (CANSIM table(s); Definitions, data sources and methods; The Daily; publications; and related Canadian Statistics tables).
This dataset explores Statistics Canada data on Agriculture value added account, by province. Multiple years of data can be found on Finder! Source: Statistics Canada, CANSIM, table (for fee) 002-0004. Last modified: 2008-05-26. Find information related to this table (CANSIM table(s); Definitions, data sources and methods; The Daily; publications; and related Canadian Statistics tables).
This dataset is compiled from the Mexican Population and Household Census from 2005 (Conteo de Poblacion y Vivienda 2005). The data is at municipal level (of almost 2,000 municipalities) and is comprised of number of localities and their populations by the size of localities. Where there were inconsistencies in municipality boundaries between the Mexican data and the available shapefile, the data have been combined in the appropriate fashion. The polygons that contain data from more than one municipality are labeled with all municipality names. Values of -1 represent no available data.
This dataset explores Statistics Canada data on Agriculture value added account, by province. Multiple years of data can be found on Finder! Source: Statistics Canada, CANSIM, table (for fee) 002-0004. Last modified: 2008-05-26. Find information related to this table (CANSIM table(s); Definitions, data sources and methods; The Daily; publications; and related Canadian Statistics tables).
This dataset explores the Statistics Canada data from the 2001 Census of earnings by highest level of education completed. Average earnings of the population 15 years and over by highest level of schooling, by province and territory (2001 Census) Definitions Highest level of schooling: Refers to the highest grade or year of elementary or secondary (high) school attended, or to the highest year of university or other non-university education completed. University education is considered to be a higher level of schooling than other non-university education. Also, the attainment of a degree, certificate or diploma is considered to be at a higher level than years completed or attended without an educational qualification. Earnings (employment income): Refers to total income received by persons 15 years of age and over during calendar year 2000 as wages and salaries, net income from a non-farm unincorporated business and/or professional practice, and/or net farm self-employment income. High school graduation certificate and/or some postsecondary: Includes persons who have attended courses at postsecondary institutions and who may or may not have a high school graduation certificate. Excludes persons with a postsecondary certificate, diploma or degree. Since 1981, "postsecondary" refers to years of schooling completed at university or at institutions other than a university, a secondary (high) school or an elementary school. Examples of postsecondary institutions include community colleges, institutes of technology, CEGEPs, private trade schools, private business colleges and schools of nursing.
Contains data both of public investment in education as percentage of GDP as well as the number of internet user per 1000 people in the corresponding country.
Data on government spending on education as percentage of GDP
This dataset explores Statistics Canada Average number of employees by selected characteristics and profession, unadjusted data, by province (monthly). 1. Those who work as employees of a private firm or business or the public sector. 2. Employees who are members of a union and employees who are not union members but who are covered by a collective agreement or a union contract. 3. Employees who are not members of a union or not covered by a collective agreement or a union contract. 4. A permanent job is one that is expected to last as long as the employee wants it, given that business conditions permit. That is, there is no pre-determined termination date. 5. A temporary job has a predetermined end date, or will end as soon as a specified project is completed. Includes seasonal jobs; temporary, term or contract jobs including work done through a temporary help agency; casual jobs; and other temporary work. Sources: Statistics Canada, CANSIM tables (for fee) 282-0069 and 282-0073. Last modified: 2008-06-06.
This dataset provides the number of persons infected with Salmonella Saintpaul in each of the 17 states affected from mid April to June 9th 2008. These cases have been connected to the consumption of raw tomatoes.
Data on life expectancy at birth for different countries and their Human Development Index rank
This dataset explores Statistics Canada Average hourly wages by selected characteristics and profession, unadjusted data, by province (monthly). 1. Those who work as employees of a private firm or business or the public sector. 2. Employees who are members of a union and employees who are not union members but who are covered by a collective agreement or a union contract. 3. Employees who are not members of a union or not covered by a collective agreement or a union contract. 4. A permanent job is one that is expected to last as long as the employee wants it, given that business conditions permit. That is, there is no pre-determined termination date. 5. A temporary job has a predetermined end date, or will end as soon as a specified project is completed. Includes seasonal jobs; temporary, term or contract jobs including work done through a temporary help agency; casual jobs; and other temporary work. Sources: Statistics Canada, CANSIM tables (for fee) 282-0069 and 282-0073. Last modified: 2008-06-06.
This dataset explores Statistics Canada Average average number of employees by selected characteristics and profession, unadjusted data, by province (monthly). 1. Those who work as employees of a private firm or business or the public sector. 2. Employees who are members of a union and employees who are not union members but who are covered by a collective agreement or a union contract. 3. Employees who are not members of a union or not covered by a collective agreement or a union contract. 4. A permanent job is one that is expected to last as long as the employee wants it, given that business conditions permit. That is, there is no pre-determined termination date. 5. A temporary job has a predetermined end date, or will end as soon as a specified project is completed. Includes seasonal jobs; temporary, term or contract jobs including work done through a temporary help agency; casual jobs; and other temporary work. Sources: Statistics Canada, CANSIM tables (for fee) 282-0069 and 282-0073. Last modified: 2008-06-06.
This dataset explores Statistics Canada Average average hourly wages by selected characteristics and profession, unadjusted data, by province (monthly). 1. Those who work as employees of a private firm or business or the public sector. 2. Employees who are members of a union and employees who are not union members but who are covered by a collective agreement or a union contract. 3. Employees who are not members of a union or not covered by a collective agreement or a union contract. 4. A permanent job is one that is expected to last as long as the employee wants it, given that business conditions permit. That is, there is no pre-determined termination date. 5. A temporary job has a predetermined end date, or will end as soon as a specified project is completed. Includes seasonal jobs; temporary, term or contract jobs including work done through a temporary help agency; casual jobs; and other temporary work. Sources: Statistics Canada, CANSIM tables (for fee) 282-0069 and 282-0073. Last modified: 2008-06-06.
Data on the percentage of people who are living under the poverty line in their respective country
This dataset explores Statistics Canada Average percent change of average hourly wages by selected characteristics and profession, unadjusted data, by province (monthly). 1. Those who work as employees of a private firm or business or the public sector. 2. Employees who are members of a union and employees who are not union members but who are covered by a collective agreement or a union contract. 3. Employees who are not members of a union or not covered by a collective agreement or a union contract. 4. A permanent job is one that is expected to last as long as the employee wants it, given that business conditions permit. That is, there is no pre-determined termination date. 5. A temporary job has a predetermined end date, or will end as soon as a specified project is completed. Includes seasonal jobs; temporary, term or contract jobs including work done through a temporary help agency; casual jobs; and other temporary work. Sources: Statistics Canada, CANSIM tables (for fee) 282-0069 and 282-0073. Last modified: 2008-06-06.
Data show the ratio of the income or expenditure share of the richest group (10%)to that of the poorest 10%
Data on adult literacy rate(ages 15 and over) in different countries
This dataset explores the average household expenditures per household in Canadian Dollars ($CAD) by province and territory in Canada for 2006. . : not available for a specific period of time. 1. Data for the territories were collected every second year starting with 2001. Source: Statistics Canada, CANSIM, table (for fee) 203-0001. Last modified: 2008-05-23.
This dataset explores the data integrity of the Statistics Canada data on average household expenditures by percent of households reporting expenditures for 2006 by province and territory. .. : not available for a specific period of time. 1. Data for the territories were collected every second year starting with 2001. Source: Statistics Canada, CANSIM, table (for fee) 203-0001. Last modified: 2008-05-23.
This dataset explores the Average undergraduate tuition fees for full-time students, by discipline and by province. Note: Using the most current enrolment data available, average tuition fees have been weighted by the number of students enrolled by institution and field of study. Fees at both public and private institutions are included in the weighted average calculations. Source: Statistics Canada, Centre for Education Statistics. Last modified: 2004-09-01.
This dataset explores the Average undergraduate tuition fees for full-time students, by discipline and by province. Note: Using the most current enrolment data available, average tuition fees have been weighted by the number of students enrolled by institution and field of study. Fees at both public and private institutions are included in the weighted average calculations. Source: Statistics Canada, Centre for Education Statistics. Last modified: 2004-09-01.
This dataset explores the Average undergraduate tuition fees for full-time students, by discipline and by province. Note: Using the most current enrolment data available, average tuition fees have been weighted by the number of students enrolled by institution and field of study. Fees at both public and private institutions are included in the weighted average calculations. Source: Statistics Canada, Centre for Education Statistics. Last modified: 2004-09-01.
This data reports the percent of flights that departed on time at U.S. airports in 1993. The original data comes from monthly numbers reported by U.S. certified air carrier that account for at least one percent of domestic scheduled passenger revenues includes scheduled and actual arrival and departure times for flights. www.bts.gov
This data reports the percent of flights that departed on time at U.S. airports in 1994. The original data comes from monthly numbers reported by U.S. certified air carrier that account for at least one percent of domestic scheduled passenger revenues includes scheduled and actual arrival and departure times for flights. www.bts.gov
This data reports the percent of flights that departed on time at U.S. airports in 1995. The original data comes from monthly numbers reported by U.S. certified air carrier that account for at least one percent of domestic scheduled passenger revenues includes scheduled and actual arrival and departure times for flights. www.bts.gov
This data reports the percent of flights that departed on time at U.S. airports in 1996. The original data comes from monthly numbers reported by U.S. certified air carrier that account for at least one percent of domestic scheduled passenger revenues includes scheduled and actual arrival and departure times for flights. www.bts.gov
This data reports the percent of flights that departed on time at U.S. airports in 1997. The original data comes from monthly numbers reported by U.S. certified air carrier that account for at least one percent of domestic scheduled passenger revenues includes scheduled and actual arrival and departure times for flights. www.bts.gov
This data reports the percent of flights that departed on time at U.S. airports in 1998. The original data comes from monthly numbers reported by U.S. certified air carrier that account for at least one percent of domestic scheduled passenger revenues includes scheduled and actual arrival and departure times for flights. www.bts.gov
This data reports the percent of flights that departed on time at U.S. airports in 1999. The original data comes from monthly numbers reported by U.S. certified air carrier that account for at least one percent of domestic scheduled passenger revenues includes scheduled and actual arrival and departure times for flights. www.bts.gov
This dataset displays the inmate populations for all the Federal Prisons throughout the United States on 6.12.08. This weekly Population Report can be found on the Bureau of Prisons website at bop.gov. These facilities are positioned by their lat/lon and this dataset is updated on a weekly basis.
Data on student-teacher ratio in 2006. This is the ratio of number of students per teacher in each state. There has been several studies for example the Tennessee STAR experiment that have looked into the effect of small classes on student performance - i.e., the smaller the class - the smaller the number of students assigned to a teacher
Data on Government spending per student on the state level for the year 2006
The "Real-time streamflow" map from USGS tracks short-term changes (over several hours) in rivers and streams. This data is a snap shot from the USGS website downloaded on Friday June 13, 2008 - on a week when there were flood conditions were worse in the Midwest
This dataset explores the Average undergraduate tuition fees for full-time students, by discipline and by province. Note: Using the most current enrolment data available, average tuition fees have been weighted by the number of students enrolled by institution and field of study. Fees at both public and private institutions are included in the weighted average calculations. Source: Statistics Canada, Centre for Education Statistics. Last modified: 2004-09-01.
This dataset explores the Average undergraduate tuition fees for full-time students, by discipline and by province. Note: Using the most current enrolment data available, average tuition fees have been weighted by the number of students enrolled by institution and field of study. Fees at both public and private institutions are included in the weighted average calculations. Source: Statistics Canada, Centre for Education Statistics. Last modified: 2004-09-01.
This dataset explores the number of bankruptcies by industry for 2007 in Canada. Note: North American Industry Classification System (NAICS) 2002. Source: Statistics Canada, CANSIM, table (for fee) 177-0006. Last modified: 2008-06-12.
This dataset displays points in Iowa that are currently going through "major flooding" as deemed by the National Oceanic and Atmospheric Administration's National Weather Services Advanced Hydrologic Prediction Service. The dataset provides the location name, major flooding point location (city, state, lat, lon), locations main water source, current height, current flow, current status, and forecasted status in one weeks time. The information was collected between 7:00 am and 9:30 am central time on the 13th of June, 2008.Various locations recorded their data within this time interval. Categories of Status: Record, Major, Moderate, Flood, Action, Non-Action Lat/lon coordinates are provided by the website. For more information about these major flood locations visit: http://www.weather.gov/ahps/ By visiting the site you can view all major flooding points in the country and gather more information about past, present, and future flooding incidents at that point.
This dataset explores births and birthrates by province and territory for the years 2002-2007. p : preliminary. r : revised. Note: From July 1 of one year to June 30 of the next year. Source: Statistics Canada, CANSIM, table (for fee) 051-0004 and Catalogue no. 91-213-X. Last modified: 2007-09-27.
This dataset explores outstanding business debt by province for 2006. More data by industry can be found at the original source, Statistics Canada. x : suppressed to meet the confidentiality requirements of the Statistics Act Notes: All data are as at December 31. More detailed statistics on suppliers of business financing are available (free) online at the SME Financial Data Initiative website. 1. All financing suppliers includes debt outstanding owed to suppliers shown in the table, i.e., domestic banks, other banks, credit unions and caisses populaires, and finance companies, as well as debt owed to suppliers not shown, i.e., portfolio managers, venture capital companies, financial funds, and insurance and leasing companies. 2. Credit unions and caisses populaires. 3. Total debt outstanding is displayed by four classification variables: authorization level; debt instrument type; province/territory; and industry. All add to the same total. 4. Authorization level is the maximum amount a client is permitted to borrow. 5. Term instruments, such as term loans and mortgage loans, generally cover longer periods of time and involve periodic repayment of both principal and interest. 6. Operating instruments, such as lines of credit and credit cards, are used for the day to day operations of a business and entail non-periodic repayments. 7. Knowledge-based industries are defined as knowledge producers (science and technology-based firms) and high-knowledge users (business innovators and large scale knowledge user firms). Typically, firms involved in pharmaceuticals, health biotechnology, development of new materials, telecommunications, information technology, software design, medical equipment manufacturing and avionics are considered to be knowledge-based industries. These industries represent a subset of the industries listed in the table above. Source: Statistics Canada, Survey of Suppliers of Business Financing. Last modified: 2008-03-10.
This dataset displays the average daily streamflow conditions for Thursday, June 12th, 2008 across the USA. The map depicts streamflow conditions as computed at USGS streamgages. The severity of the streamflows are represented by percentiles of historical daily streamflow for the day of the year. Percentage scale: <10 = Much Below Normal Streamflow 10-24 = Below Normal Streamflow 25-75 = Normal Streamflow 76-90 = Above Normal Streamflow >90 = Much above Normal Streamflow
This dataset explores the Capital expenditures by sector, by province and territory in Canada. This data takes into account total construction and machinery and equipment and values are in million of dollars. x : suppressed to meet the confidentiality requirements of the Statistics Act Note: This survey collects data on the intentions for capital investment and the expenditures for the previous two years. Sources: Statistics Canada, CANSIM, table (for fee) 029-0005 and Catalogue no. 61-205-XIB. Last modified: 2008-02-27.
This dataset explores the Capital expenditures by sector, by province and territory in Canada. This data takes into account total construction and machinery and equipment and values are in million of dollars. x : suppressed to meet the confidentiality requirements of the Statistics Act Note: This survey collects data on the intentions for capital investment and the expenditures for the previous two years. Sources: Statistics Canada, CANSIM, table (for fee) 029-0005 and Catalogue no. 61-205-XIB. Last modified: 2008-02-27.
"This dataset displays the average daily streamflow conditions for Thursday, June 13th, 2008 across the USA. The map depicts streamflow conditions as computed at USGS streamgages. The severity of the streamflows are represented by percentiles of historical daily streamflow for the day of the year. Percentage scale: <10 = Much Below Normal Streamflow 10-24 = Below Normal Streamflow 25-75 = Normal Streamflow 76-90 = Above Normal Streamflow >90 = Much above Normal Streamflow"
This dataset explores the Capital expenditures by sector, by province and territory in Canada. This data takes into account total construction and machinery and equipment and values are in million of dollars. x : suppressed to meet the confidentiality requirements of the Statistics Act Note: This survey collects data on the intentions for capital investment and the expenditures for the previous two years. Sources: Statistics Canada, CANSIM, table (for fee) 029-0005 and Catalogue no. 61-205-XIB. Last modified: 2008-02-27.
This dataset explores the Capital expenditures by sector, by province and territory in Canada. This data takes into account total construction and machinery and equipment and values are in million of dollars. x : suppressed to meet the confidentiality requirements of the Statistics Act Note: This survey collects data on the intentions for capital investment and the expenditures for the previous two years. Sources: Statistics Canada, CANSIM, table (for fee) 029-0005 and Catalogue no. 61-205-XIB. Last modified: 2008-02-27.
This dataset explores the Capital expenditures by sector, by province and territory in Canada intentional data for 2008. This data takes into account total construction and machinery and equipment and values are in million of dollars. x : suppressed to meet the confidentiality requirements of the Statistics Act Note: This survey collects data on the intentions for capital investment and the expenditures for the previous two years. Sources: Statistics Canada, CANSIM, table (for fee) 029-0005 and Catalogue no. 61-205-XIB. Last modified: 2008-02-27.
This dataset explores total number of fines in cases in adult criminal court by province and territory for 2005/2006. Source: Statistics Canada, CANSIM, table (for fee) 252-0046 and Catalogue no. 85-002-X. Last modified: 2007-12-17.
This is farm income (livestock and crops) in 1,000's of dollars by county for the U.S., 2006. The source is the Bureau of Economic Analysis, Regional Economic Accounts. Data may useful in understanding how the June 2008 floods in Iowa may impact the agriculture sector and the consequently, the economy.
This is farm employment by county for the U.S., 2006. The source is the Bureau of Economic Analysis, Regional Economic Accounts. Data may useful in understanding how the June 2008 floods in Iowa may impact the agriculture sector and the consequently, the economy
"The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available." -- source: metadata
The 500 year flood zone was extracted from the Digital Flood Insurance Map data using the flood zone code. "The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available." -- source: metadata
This coverage represents year MODIS fire detections for the 7 day period specified for the geographic area covering the conterminous United States, Alaska, Hawaii, Canada and northern Mexico. The detections are obtained using both TERRA MODIS and AQUA MODIS data are collected and processed as a cooperative effort between the USDA Forest Service Remote Sensing Application Center, NASA-Goddard Space Flight Center and the University of Maryland. These fire detection data are collected for the USDA Forest Service MODIS Active Fire Mapping Program (http://activefiremaps.fs.fed.us). These data are intended to provide a synoptic view of active fires for the past and present over the specified time period. These data are collected at a spatial resolution of 1 kilometer and therefore are only intended for geographic display and analysis at the national and regional levels. No responsibility is assumed by the USDA Forest Service in the use of these data.
This datasets displays the locations of all recorded earthquakes of a magnitude of 1 or greater around the world from the period of 6.9.08 to 6.16.08. The findings are from the US Geological Survey (USGS). Earthquake information is extracted from a merged catalog of earthquakes located by the USGS and contributing networks. Earthquakes will be broadcast within a few minutes for California events and within 30-minutes for world-wide events.
This dataset is an update (as of June 14th) of the cases of Slamonella Saintpaul throughout the country. It provides the number of persons infected with Salmonella Saintpaul in each of the 17 states affected for June 9th and June 12th 2008. These cases have been connected to the consumption of raw tomatoes. The Dataset also provides the states or counties (for Florida) whose tomatoes have been declared safe by the CDC for June 13th and June 14th.
The following is the list of all countries visited by Secretary of State, Condeleeza Rice in 2005. Indicator of foreign policy priorities.
The following is the list of all countries visited by Secretary of State, Condeleeza Rice in 2007. Indicator of foreign policy priorities.
The following is the list of all countries visited by Secretary of State, Condeleeza Rice in 2008. Indicator of foreign policy priorities.
The point shapefile shows locations of individual donors who gave to Obama's presidential campaign during the month of April, 2008. The political donations data is based on the campaign finance reports filed by individual presidential candidates with FEC (Federal Election Commission). There are over 150,000 individual campaign donation records in the report filed by Obama's campaign for the month of April, 2008, which were then geocoded and filtered by states. The uploaded shapefile shows only Alabama donors. Very Important According to FEC Notice: Reports and statements filed by political committees may be inspected and copied by anyone. The names and addresses of individual contributors, however, may not be sold or used for any commercial purpose or to solicit any type of contribution or donation, such as political or charitable contributions. 2 U.S.C. 438(a)(4); 11 CFR 104.15. This restriction applies to Federal reports and statements. Any person who violates this restriction is subject to the penalties of 2 U.S.C. 437g. For details please see: http://www.fec.gov/pages/brochures/sale_and_use_brochure.pdf
The point shapefile shows locations of individual donors who gave to Obama's presidential campaign during the month of April, 2008. The political donations data is based on the campaign finance reports filed by individual presidential candidates with FEC (Federal Election Commission). There are over 150,000 individual campaign donation records in the report filed by Obama's campaign for the month of April, 2008, which were then geocoded and filtered by states. The uploaded shapefile shows only Arkansas donors. Very Important According to FEC Notice: Reports and statements filed by political committees may be inspected and copied by anyone. The names and addresses of individual contributors, however, may not be sold or used for any commercial purpose or to solicit any type of contribution or donation, such as political or charitable contributions. 2 U.S.C. 438(a)(4); 11 CFR 104.15. This restriction applies to Federal reports and statements. Any person who violates this restriction is subject to the penalties of 2 U.S.C. 437g. For details please see: http://www.fec.gov/pages/brochures/sale_and_use_brochure.pdf
The point shapefile shows locations of individual donors who gave to Obama's presidential campaign during the month of April, 2008. The political donations data is based on the campaign finance reports filed by individual presidential candidates with FEC (Federal Election Commission). There are over 150,000 individual campaign donation records in the report filed by Obama's campaign for the month of April, 2008, which were then geocoded and filtered by states. The uploaded shapefile shows only Arizona donors. Very Important According to FEC Notice: Reports and statements filed by political committees may be inspected and copied by anyone. The names and addresses of individual contributors, however, may not be sold or used for any commercial purpose or to solicit any type of contribution or donation, such as political or charitable contributions. 2 U.S.C. 438(a)(4); 11 CFR 104.15. This restriction applies to Federal reports and statements. Any person who violates this restriction is subject to the penalties of 2 U.S.C. 437g. For details please see: http://www.fec.gov/pages/brochures/sale_and_use_brochure.pdf
The point shapefile shows locations of individual donors who gave to Obama's presidential campaign during the month of April, 2008. The political donations data is based on the campaign finance reports filed by individual presidential candidates with FEC (Federal Election Commission). There are over 150,000 individual campaign donation records in the report filed by Obama's campaign for the month of April, 2008, which were then geocoded and filtered by states. The uploaded shapefile shows only Connecticut donors. Very Important According to FEC Notice: Reports and statements filed by political committees may be inspected and copied by anyone. The names and addresses of individual contributors, however, may not be sold or used for any commercial purpose or to solicit any type of contribution or donation, such as political or charitable contributions. 2 U.S.C. 438(a)(4); 11 CFR 104.15. This restriction applies to Federal reports and statements. Any person who violates this restriction is subject to the penalties of 2 U.S.C. 437g. For details please see: http://www.fec.gov/pages/brochures/sale_and_use_brochure.pdf
The point shapefile shows locations of individual donors who gave to Obama's presidential campaign during the month of April, 2008. The political donations data is based on the campaign finance reports filed by individual presidential candidates with FEC (Federal Election Commission). There are over 150,000 individual campaign donation records in the report filed by Obama's campaign for the month of April, 2008, which were then geocoded and filtered by states. The uploaded shapefile shows only Delaware donors. Very Important According to FEC Notice: Reports and statements filed by political committees may be inspected and copied by anyone. The names and addresses of individual contributors, however, may not be sold or used for any commercial purpose or to solicit any type of contribution or donation, such as political or charitable contributions. 2 U.S.C. 438(a)(4); 11 CFR 104.15. This restriction applies to Federal reports and statements. Any person who violates this restriction is subject to the penalties of 2 U.S.C. 437g. For details please see: http://www.fec.gov/pages/brochures/sale_and_use_brochure.pdf
SEIFA is a suite of four summary measures that have been created from 2006 Census information. The indexes can be used to explore different aspects of socio-economic conditions by geographic areas. For each index, every geographic area in Australia is given a SEIFA number which shows how disadvantaged that area is compared with other areas in Australia. Each index summarises a different aspect of the socio-economic conditions of people living in an area. Each summarise a different set of social and economic information. The indexes provide more general measures of socio-economic status than is given by measuring income or unemployment alone, for example Index of Relative Socio-economic Disadvantage: is derived from Census variables related to disadvantage such as low income low educational attainment unemployment and dwellings without motor vehicles Index of Relative Socio-economic Advantage and Disadvantage: a continuum of advantage (high values) to disadvantage (low values) which is derived from Census variables related to both advantage and disadvantage, like household with low income and people with a tertiary education Index of Economic Resources: focuses on Census variables like the income, housing expenditure and assets of households Index of Education and Occupation: includes Census variables relating to the educational and occupational characteristics of communities, like the proportion of people with a higher qualification or those employed in a skilled occupation. The concept of relative socio-economic disadvantage is neither simple, nor well defined. SEIFA uses a broad definition of relative socio-economic disadvantage in terms people's access to material and social resources, and their ability to participate in society. While SEIFA represents an average of all people living in an area, SEIFA does not represent the individual situation of each person. Larger areas are more likely to have greater diversity of people and households
This Dataset shows the locations and project names for Levees of concern according to the US Army Corps of Engineers. An unacceptable maintenance rating means a levee has one or more deficient conditions that can reasonably be foreseen to prevent the project from functioning as designed. Examples of maintenance deficiencies include: animal burrows, erosion, tree growth, movement of floodwalls or faulty culvert conditions.
Map of Registered Sex Offenders in the United States Data obtained via phone survey of the individual sex offender registries in the 50 states, District of Columbia The total number of registered sex offenders has been compared to census data to determine the number of sex offenders per 100,000 total population in that state Data on each state and territory is the total number of registered sex offenders and the number per 100,000 total population Included in the totals of thirty-eight (38) states or territories are offenders who have been deported, are currently incarcerated, or have moved to another state. The 18 states or territories that do NOT include these types of offenders in their totals are designated by hash marks.
This dataset was retrieved from the U.S. Department of Justice Federal Bureau of Investigation Criminal Justice Information Services Division website on February 29, 2008. "This table provides the total number of state law enforcement employees, the total number of male officers, the total number of female officers, the total number of male civilian employees, and the total number of female civilian employees". Values for individual agencies were aggregated for each state. Estimated population was added for each state for 2006 that appeared on Table 5 of the data from 2006. "The FBI collects these data through the Uniform Crime Reporting (UCR) Program". Please see the Data Declaration for further information on the data set. Values of -1 represent no value.
This dataset was retrieved from the U.S. Department of Justice Federal Bureau of Investigation Criminal Justice Information Services Division website on February 29, 2008. "This table provides arrest data for 29 separate UCR offenses for each state for 2006". The table provides data for total arrests by class of crime. "The FBI collects these data through the Uniform Crime Reporting (UCR) Program". Estimated population was added for each state for 2006 that appeared on Table 5 of the data from 2006. Please see the Data Declaration for further information on the data set. Values of -1 represent no value.
SEIFA is a suite of four summary measures that have been created from 2006 Census information. The indexes can be used to explore different aspects of socio-economic conditions by geographic areas. For each index, every geographic area in Australia is given a SEIFA number which shows how disadvantaged that area is compared with other areas in Australia. Each index summarises a different aspect of the socio-economic conditions of people living in an area. Each summarise a different set of social and economic information. The indexes provide more general measures of socio-economic status than is given by measuring income or unemployment alone, for example Index of Relative Socio-economic Disadvantage: is derived from Census variables related to disadvantage such as low income low educational attainment unemployment and dwellings without motor vehicles Index of Relative Socio-economic Advantage and Disadvantage: a continuum of advantage (high values) to disadvantage (low values) which is derived from Census variables related to both advantage and disadvantage, like household with low income and people with a tertiary education Index of Economic Resources: focuses on Census variables like the income, housing expenditure and assets of households Index of Education and Occupation: includes Census variables relating to the educational and occupational characteristics of communities, like the proportion of people with a higher qualification or those employed in a skilled occupation. The concept of relative socio-economic disadvantage is neither simple, nor well defined. SEIFA uses a broad definition of relative socio-economic disadvantage in terms people's access to material and social resources, and their ability to participate in society. While SEIFA represents an average of all people living in an area, SEIFA does not represent the individual situation of each person. Larger areas are more likely to have greater diversity of people and households
This dataset displays public elementary and secondary schools throughout the country that are either single-sex schools or offer single-sex classes for the 2008-2009 school year. For the 2008-2009 school year, there are at least 392 public schools in the United States offering single-sex educational opportunities. Most of those schools are COED schools which offer single-sex CLASSROOMS, but which retain at least some coed activities. In some cases, the only coed activities are lunch and one or two electives, so the distinction between a single-sex school, and a coed school with single-sex classrooms, can become a semantic quibble. From March 2002 through July 2007, we tried to make a distinction between single-sex schools, on the one hand, and coed schools with single-sex classes, on the other hand. We listed single-sex schools on one web page, while coed schools with single-sex classes were listed on a separate web page. As it became increasingly obvious that the distinction was often arbitrary, we decided in August 2007 to begin listing all public schools offering single-sex classrooms on the same web page, which is this page. By our count, 97 of the 392 schools below qualify as single-sex schools, meaning that students attending any of those 97 schools have all their school activities -- including lunch and all electives -- in a setting which is all-boys or all-girls. Most of those 97 schools are single-sex campuses, such as the The Ann Richards School for Young Women which opened in Austin, Texas in August 2007. Note: Schools which offer single-sex classes only in physical education and/or health and/or sex education are NOT listed here. In addition, correctional schools for adjudicated delinquent juveniles are not listed here.
This dataset was created from the USDA Farmers Market database listing. The point data is usually the exact location of the market but may sometimes be the general area. Attributes include contact information, hours, and if the market takes food stamps.
This dataset displays the participation of each state in the National Instant Criminal Background Check System (NICS) in the USA as of 12.31.2005. The NICS is a point-of-sale system for determining eligibility to purchase a firearm in the USA. Federal Firearms License holders are required by law to use the NICS to determine if it is legal to sell a firearm to a prospective buyer. The NICS determines if the buyer is prohibited from buying a firearm under the Gun Control Act of 1968. The NICS is applicable to sales from federally licensed dealers. Sales of firearms by private sellers are allowed to proceed without a background check unless required by state law. These regulations remain in place at gun shows, where no special leniency is granted to licensed sellers, and no additional requirements are placed upon private sellers. Each State determines the extent of its participation in the NICS process. Three basic forms of State involvement currently exist: 1. a POC requests a NICS check on all firearm transfers originating in the State; 2. a POC requests a NICS check on all handgun transfers; licensees in the State are required to contact the FBI for approval of long gun transfers; or 3. the State does not maintain a point of contact; licensees are required to contact the FBI for NICS checks on all firearm transfers originating in the State. The FBI and the POC agencies always check three major Federal databases, the National Crime Information Center (NCIC), the Interstate Identification Index (III), and the NICS Index. A POC may check additional State records. A check may include contacting an agency that maintains a record that the FBI or POC cannot access directly. After a search, the checking agency responds with a notice to the licensee that the transfer may proceed, may not proceed, or is delayed pending further review of the applicant's record. Other notes: State forbids pawning a handgun = AL, IN, MA, MI, NJ (all firearms), NH, PA
This is a map of the Shelters throughout the midwest in response to the Flooding in Iowa and the Tornados in Indiana. This dataset includes information on Shelters, service delivery sites, and Bulk distribution centers.
Selections from the 2000 Census by state. Population age and gender. Literacy rates; by urban, rural, and gender. Housing Characteristics: Number of Dwellings Type(house, apartment, etc), Head of Household Demographics(age, income, education, etc...), Relation of Habitants to Head of Household(roomate, son, daughter, etc...), Number of Habitants
Total economic assistance provided by the United States to different countries around the world. The amount is in millions of historical dollars
As of May 13, 2008, state and city health departments from 15 states have identified 28 ill persons infected with same genetic fingerprint of Salmonella Agona. Ill persons with the outbreak strain have been identified from Colorado (1), Delaware (2), Illinois (1), Maine (4), Massachusetts (2), Michigan (1), Minnesota (1), North Dakota (1), New Hampshire (2), New Jersey (5), New York (3), Ohio (1), Pennsylvania (2), Rhode Island (1), and Vermont (1). Onset dates, which are known for 23 patients, ranged from January 1 to April 10, 2008. Patients ages ranged from 4 months to 95 years with a median age of 65 years. Eight hospitalizations and no deaths have been reported.
Kevin Stolarick of the Creative Class Group contributed this data, which includes rankings of US Cities by measures of tolerance, housing affordability, age groups, crime, recreational activities, health care affordability and many others. It comes from a variety of government sources, including the American Community Survey conducted by the US Dept. of Census. For more information visit http://creativeclass.com.
This dataset displays all the Harley-Davidson Dealer Locations throughout the USA as of 6.2008. The information includes; Store Name, Store Location, Store Phone, Store Fax, Store Website. Dealer locations provide the following services and services vary from store to store; Motorcycles, Service, MotorClothes Merchandise, Motor Accesories, Online Shopping, Authorized Rentals, Rider's Edge, H.O.G. Chapter, H.O.G. Fly & Ride, Buell Motorcycles. To see exactly what services each location provides go to the H-D Dealer Locator website at http://www.harley-davidson.com/DE/LOC/en/DealerLocator.asp?LL=en-US&AD4=USA
Created from USGS 7.5 minute Topographic Quadrangles. MIRIS digital base maps used as control reference. Identifies watershed boundaries and the direction of the water flow.
This dataset displays all the Vespa Dealer Locations throughout the USA as of 6.2008. The information includes; Store Name, Store Location, Store Phone, Store Hours, Store Website. The data comes from the website of Vespa at vespausa.com and the lat/lons were obtained by geocoding the location's street address.
This dataset displays all the Segway Dealer Locations throughout the USA as of 6.2008. The information includes; Store Name, Store Location, Store Phone. The data comes from the website of Segway at segway.com and the lat/lons were obtained by geocoding the location's street address.
This dataset was created from the USDA Farmers Market database listing. The point data is usually the exact location of the market but may sometimes be the general area. Attributes include contact information, hours, and if the market takes food stamps.
This dataset was created from the USDA Farmers Market database listing. The point data is usually the exact location of the market but may sometimes be the general area. Attributes include contact information, hours, and if the market takes food stamps.
This dataset was created from the USDA Farmers Market database listing. The point data is usually the exact location of the market but may sometimes be the general area. Attributes include contact information, hours, and if the market takes food stamps.
This dataset displays all the smart car Dealer Locations throughout the USA as of 6.2008. The information includes; Dealer Name, Dealer Location, Dealer Phone, Dealer Website. The data comes from the website of smartUSA at smartusa.com and the lat/lons were obtained by geocoding the location's street address.
Includes demographic data for subregions of the state of Acre, Brazil. Unless otherwise indicated, data are from the year 2000 census.
This dataset displays all the Tomos Dealer Locations throughout the USA as of 6.2008. Tomos is a company based in Slovenia that specializes in the production and sale of 2-wheel vehicles like the scooter and the moped. They have carried their operation into the USA and are one of the most widely recognized moped/scooter distributors throughout the country. The information includes; Dealer Name, Dealer Location, Dealer Phone. The data comes from the website of TomosUSA at tomosusa.com and the lat/lons were obtained by geocoding the location's street address.
This dataset was created from the USDA Farmers Market database listing. The point data is usually the exact location of the market but may sometimes be the general area. Attributes include contact information, hours, and if the market takes food stamps.
this Data set has over 4,100 Bike shop locations throughout the united States. this isn't a Complete National List of bicycle shops, but its a good start. hopefully I'll be able to add to it as we go. Attributes include shop name, phone number and address. In this bicycle shop directory, you can find a broad selection of local bike shops in each state. Most bicycle stores offer both sales and service; however some are only rentals. Be sure to call ahead before visiting these shops to check their hours of operation, and to verify their location and status. Although we try to keep these listings current, some of the bicycle shops listed herein may have relocated or even ceased operations.
This dataset displays the inmate populations for all the Federal Prisons throughout the United States on 6.19.08. This weekly Population Report can be found on the Bureau of Prisons website at bop.gov. These facilities are positioned by their lat/lon and this dataset is updated on a weekly basis.
This dataset displays all the Genuine Scooter Company Dealer Locations throughout the USA as of 6.2008. Genuine Scooter Company is based in Chicago, IL and is known for producing and selling scooter. There most popular scooter is the Stella and has over time developed a cult-following. The information includes; Dealer Name, Dealer Location, Dealer Phone. The data comes from the website of Genuine Scooter Company at genuinescooters.com and the lat/lons were obtained by geocoding the location's street address.
This dataset was created from the USDA Farmers Market database listing. The point data is usually the exact location of the market but may sometimes be the general area. Attributes include contact information, hours, and if the market takes food stamps.
This dataset is an update (as of June 19th) of the cases of Slamonella Saintpaul throughout the country. It provides the number of persons infected with Salmonella Saintpaul in each of the 17 states affected for June 9th, June 12th, and June 19th 2008. These cases have been connected to the consumption of raw tomatoes. The Dataset also provides the states or counties (for Florida) whose tomatoes have been declared safe by the CDC for June 13th, June 14th and June 19th.
The point shapefile shows locations of individual donors who gave to Obama's presidential campaign during the month of April, 2008. The political donations data is based on the campaign finance reports filed by individual presidential candidates with FEC (Federal Election Commission). There are over 150,000 individual campaign donation records in the report filed by Obama's campaign for the month of April, 2008, which were then geocoded and filtered by states. The uploaded shapefile shows only Arizona donors. Very Important According to FEC Notice: Reports and statements filed by political committees may be inspected and copied by anyone. The names and addresses of individual contributors, however, may not be sold or used for any commercial purpose or to solicit any type of contribution or donation, such as political or charitable contributions. 2 U.S.C. 438(a)(4); 11 CFR 104.15. This restriction applies to Federal reports and statements. Any person who violates this restriction is subject to the penalties of 2 U.S.C. 437g.
The poly shapefile shows aggregated totals at county level of individual donors who gave to Obama's presidential campaign during the month of April, 2008. The political donations data is based on the campaign finance reports filed by individual presidential candidates with FEC (Federal Election Commission). There are over 150,000 individual campaign donation records in the report filed by Obama's campaign for the month of April, 2008, which were then geocoded and aggregagted at county level for the lower 48 states. The shapefile has count of donors as well total for April and totals so far (from Jan 07 to April 07).
The poly shapefile shows individual contribution totals by county for the four quarters (4th quarter of 2003 to 3rd quarter of 2004) given to Bush-Cheney 2004 presidential campaign. The political donations data is based on the campaign finance reports filed by individual presidential candidates with FEC (Federal Election Commission). There are over 200,000 individual campaign donation records in the report filed by Bush-Cheney campaign over the four quarters. These were geocoded and then aggregated at county level for the lower 48 states. Also shows data for the number of donor records by county.
The poly shapefile shows aggregated totals of individual donations at county level for the first four months of 2008 given to Obama's presidential campaign. The political donations data is based on the campaign finance reports filed by individual presidential candidates with FEC (Federal Election Commission). The data for four months was uploaded into Access database and aggregate by individual donors resulting in over 80,000 records which were then geocoded and further aggregate to county levels for the lower 48 states. The uploaded shapefile has data on number of donors and total donations by county.
This coverage represents year MODIS fire detections for the 7 day period specified for the geographic area covering the conterminous United States, Alaska, Hawaii, Canada and northern Mexico. The detections are obtained using both TERRA MODIS and AQUA MODIS data are collected and processed as a cooperative effort between the USDA Forest Service Remote Sensing Application Center, NASA-Goddard Space Flight Center and the University of Maryland. These fire detection data are collected for the USDA Forest Service MODIS Active Fire Mapping Program (http://activefiremaps.fs.fed.us). These data are intended to provide a synoptic view of active fires for the past and present over the specified time period. These data are collected at a spatial resolution of 1 kilometer and therefore are only intended for geographic display and analysis at the national and regional levels. No responsibility is assumed by the USDA Forest Service in the use of these data.
This datasets displays the locations of all recorded earthquakes of a magnitude of 1 or greater around the world from the period of 6.16.08 to 6.23.08. The findings are from the US Geological Survey (USGS). Earthquake information is extracted from a merged catalog of earthquakes located by the USGS and contributing networks. Earthquakes will be broadcast within a few minutes for California events and within 30-minutes for world-wide events.
This dataset displays all the eGO Vehicles Dealer Locations throughout the USA as of 6.2008. eGO Vehicles are manufactorers of Electric Powered Bikes. Their vehicles are environmentally friendly and are ideal for short commutes. The information includes; Dealer Name, Dealer Location, Dealer Phone. The data comes from the website of eGO Vehicles at egovehicles.com and the lat/lons were obtained by geocoding the location's street address.
This dataset was created from the USDA Farmers Market database listing. The point data is usually the exact location of the market but may sometimes be the general area. Attributes include contact information, hours, and if the market takes food stamps.
This dataset displays all the Home Depot locations as of 6.23.2008. This dataset was created to help in the relief of the recent floods that have ravaged Iowa City in June of 2008. The data comes from the website of Home Depot at homedepot.com and the lat/lons were obtained by geocoding the location's street address.
This dataset displays the status of bridges in Iowa City as of 6.19.08. The data comes from the website of Iowa City at icgov.org on their Flood Recovery Resource Center. The lat/lons were obtained by geocoding visually on google earth.
This coverage contains boundaries of Texas state parks, wildlife management areas (WMAs) and fisheries facilities. The boundaries were collected from Texas Dept. of Transportation county maps,General Land Office data, Texas Parks and Wildlife Dept. (TPWD) Public Lands Stackhouse mylar sheets from the Survey Section, other TPWD Survey Section data, Park or WMA boundaries on U.S. Geological Survey 7.5 quads, TPWD Wildlife Division boundaries drawn on USGS 7.5 quads from Penny Bartnicki (Wildlife Facilities Coordinator). When completem this coverage should include boundaries for all state parks, wildlife management areas and fisheries facilities Polygons were digitized from deed and survey information from the Texas General Land Office and Texas Parks and Wildlife Dept. Properties that lacked x,y coordinates were placed using features on USGS 1:24,000 quads as reference. The quad features were also used to determine closure for tracts that failed to close. If survey or deed information was not available, USGS quads and Texas Dept. of Transportation data were referenced for property boundaries, however priority was given to the quads when possible. If these maps were of no use, headquarters and field staff of TPWD were consulted to help resolve boundaries and/or locations of the properties.
This data was collected by the U.S. Bureau of Land Management (BLM) in New Mexico at both the New Mexico State Office and at the various field offices. This dataset is meant to depict the surface owner or manager of the land parcels. In the vast majority of land parcels, they will be one and the same. However, there are instances where the owner and manager of the land surface are not the same. When this occurs, the manager of the land is usually indicated. BLM's Master Title Plats are the official land records of the federal government and serve as the primary data source for depiction of all federal lands. Information from State of New Mexico is the primary source for the depiction of all state lands. Auxilliary source are referenced, as well, for the depiction of all lands. Collection of this dataset began in the 1980's using the BLM's ADS software to digitize information at the 1:24,000 scale. In the mid to late 1990's the data was converted from ADS to ArcInfo software and merged into tiles of one degree of longitude by one half degree of latitude. These tiles were regularly updated. The tiles were merged into a statewide coverage. The source geodatabase for this shapefile was created by loading the merged ArcInfo coverage into a personal geodatabase. The geodatabase data were snapped to a more accurate GCDB derived land network, where available. In areas where GCDB was not available the data were snapped to digitized PLSS. In 2006, the personal geodatabase was loaded into an enterprise geodatabase (SDE). This shapefile has been created by exporting the feature class from SDE.
This dataset contains 342 National Park System unit boundaries. Under the jurisdiction of the National Park Service (NPS), these park units are located throughout the United States (U.S.) and its territories. Almost all the parks are located north of the equator in the western hemisphere; although a couple parks are south of the equator or in the eastern hemisphere. The dataset was compiled (and edited) from a variety sources: park-based GIS databases; U.S. Geological Survey 7.5' 1:24,000 quadrangles; NPS Park Land Status Maps; legal descriptions; etc.). The boundaries are in Latitude-Longitude (Clarke 1866-NAD27) decimal degrees. The ID_ field contains the unique 4 character park code identifying each park. The NAME1_ field contains the full park name. The NAME2_ field contains information about the source, scale, and date of the boundary. The boundaries are generally the designated boundary. Inholdings may or may not be shown depending on the park. This dataset was originally created in Environmental System's Research Institute's (ESRI) ATLAS*GIS software and is currently maintained in this software. This version of the dataset was created using ESRI's ArcTools 8.0.2 Import to ShapeFile from .AGF file command, ShapeFile to Coverage command, and then Export to Interchange File. To obtain the most accurate, current boundary, users should contact the specific park These digital park unit boundaries should not be used for any legal boundary disputes. They are intended solely for use only in identifying the general locations of national park units throughout the U.S. This dataset was compiled to assist the NPS Water Resources Division in determining the proximity of certain hydrographic features to national park units and whether national park units are contained in other management units.
This dataset provides points for 375 Hotels in Iowa as well as the lowest price for each hotel and their address. This does not necessarily contain all of the hotels in Iowa. Values of -1 represent no data available.
This dataset includes all of the counties in Iowa that have been declared disasters (as of June 17, 2008) as a result of the May/June 2008 floods. The declarations fall into three categories: *Governor Culvers Disaster Proclamation *Presidential Disasters for Individual Assistance *Presidential Disasters for Public Assistance
This dataset includes all of the counties that Gov. Rod Blagojevich has declared disasters (as of June 18) as a result of the May/June 2008 flooding and levee failures. From: "President Bush to tour Cedar Rapids; 19 Illinois counties declared disaster areas", Galenagazette, June 18, 2008
This dataset includes all counties that have been declared presidential disaster areas as a result of the May/June 2008 floods (and severe storms). Only declarations for individual assistance have been made -i.e., none for public assistance.
This is farm income from livestock in 1,000's of dollars by county for the U.S., 2006. The source is the Bureau of Economic Analysis, Regional Economic Accounts. Data may useful in understanding how the June 2008 floods in Iowa may impact the agriculture sector and the consequently, the economy.
This is farm income from crops in 1,000's of dollars by county for the U.S., 2006. The source is the Bureau of Economic Analysis, Regional Economic Accounts. Data may useful in understanding how the June 2008 floods in Iowa may impact the agriculture sector and the consequently, the economy.
This dataset displays the status of reentry into properties that were evacuated during the intense flooding that hit Cedar Rapids, IA in Mid June of 2008. The status will either be entry permitted or unsafe to reenter. The data comes from the website of Corridor Recovery at CorridorRecover.org. CorridorRecover.org is comprehensive source for information and updates on the continuing 2008 flood recovery efforts in Cedar Rapids, Linn County and the surrounding communities. The list below includes all properties located in the flood-affected zone that have been inspected by the assessment teams. * Those that have a status of unsafe have been identified as unsafe for re-entry. * Entry is permitted for property owners - at their own risk - to those addresses listed as entry permitted. * Those addresses that are not listed and that are located within the flood-affected area are still located behind the barrier line and are inaccessible at this time. The lat/lons were obtained by geocoding the given street addresses.
The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The specifications for the horizontal control of Q3 Flood Data files are consistent with those required for mapping at a scale of 1:24000.
The poly shapefile shows the lower 48 counties that have been identified to receive Federal assistance on account of a natural disaster such as, drought, floods, fire, wind damage, excessive heat, winter storm, tornadoes, hurricanes, pests, hail, excessive wind etc. Farm Service Agency of USDA is tasked with providing assistance to counties declared as natural disaster area by the President or the Secretary of State. In 2007, nearly all counties received the assistance due to one or more natural disasters. Most common was the drought condition and the least common was pests. The data shows number of natural disaster events by county in 2007, also included are total number of days that a county was declared as disaster area, also shown are total number of disaster events by county.
The poly shapefile shows the lower 48 counties that have been identified to receive Federal assistance on account of a natural disaster such as, drought, floods, fire, wind damage, excessive heat, winter storm, tornadoes, hurricanes, pests, hail, excessive wind etc. Farm Service Agency of USDA is tasked with providing assistance to counties declared as natural disaster area by the President or the Secretary of State. In 2007, nearly all counties received the assistance due to one or more natural disasters. Most common was the drought condition and the least common was pests. The data shows number of natural disaster events by county in 2007, also included are total number of days that a county was declared as disaster area, also shown are total number of disaster events by county. The total number of disaster days for some counties may exceed 365 if these counties were declared disaster areas in the previous years. As of Jan, 2008, FSA has verified all data related to disaster events.
The poly shapefile shows the lower 48 counties that have been identified to receive Federal assistance on account of a natural disaster such as, drought, floods, fire, wind damage, excessive heat, winter storm, tornadoes, hurricanes, pests, hail, excessive wind etc. Farm Service Agency of USDA is tasked with providing assistance to counties declared as natural disaster area by the President or the Secretary of State. In 2007, nearly all counties received the assistance due to one or more natural disasters. Most common was the drought condition and the least common was pests. The data shows number of natural disaster events by county in 2007, also included are total number of days that a county was declared as disaster area, also shown are total number of disaster events by county. The total number of disaster days for some counties may exceed 365 if these counties were declared disaster areas in the previous years. As of Jan, 2008, FSA has verified all data related to disaster events.
Wildfires have consumed much of California in the past couple days. This dataset shows current conditions of these fires from the past 12 hours in California and the rest of the United States. These fire information products were compiled at the USDA Forest Service (USFS) Remote Sensing Applications Center in cooperation with NASA Goddard Space Flight Center, the University of Maryland, the National Interagency Fire Center, and the USFS Missoula Fire Sciences Lab. For more information visit activefiremaps.fs.fed.us/recent3.php
This dataset provides all updates of the cases of Slamonella Saintpaul throughout the U.S. from June 2nd to June 20th. These cases have been connected to the consumption of raw tomatoes. The numbers provided are the number of cases based on the state of residence of the person infected.
This dataset displays data from the 2005 Census of Japan. It displays population, population change, area, and population density of the 47 prefectures in Japan. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau
This dataset is an update (as of June 20th)of states in the U.S. and Mexico or counties (for Florida) whose tomatoes have been declared safe by the CDC. An outbreak of Salmonella Saintpaul have been connected to the consumption of raw tomatoes.
This dataset displays data from the 2005 Census of Japan. It displays population by sex and households by type in the 47 prefectures in Japan. The data also breaks the data down by shi (cities) and gun(districts) within the prefecture. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau.
This dataset explores total number of fines in cases in adult criminal court by province and territory for 2005/2006. "Other sentences" include absolute and conditional discharge, suspended sentence, community service order and prohibition order among others. Source: Statistics Canada, CANSIM, table (for fee) 252-0046 and Catalogue no. 85-002-X. Last modified: 2007-12-17.
This dataset explores total number of fines in cases in adult criminal court by province and territory for 2005/2006. Source: Statistics Canada, CANSIM, table (for fee) 252-0046 and Catalogue no. 85-002-X. Last modified: 2007-12-17.
This dataset displays data from the 2005 Census of Japan. It displays population by age, selected age ranges, percentages of age ranges, average average, and median age in the selected prefectures in Japan. Only 30 of the 47 prectures were displayed in the data source. There are also 2 other datasets that break this data up by male and female figures. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau.
This dataset explores total number of cases in adult criminal court by type of sentence and by province and territory for 2005/2006. Note: The conditional sentence of imprisonment option came into effect under Bill C-41 in September 1996. When a conditional sentence is imposed, the offender serves their sentence in the community under supervision. The Adult Criminal Court Survey (ACCS) began collecting data on conditional sentences in 1998/1999 from Newfoundland and Labrador, Ontario and Alberta. Prince Edward Island, Nova Scotia, Saskatchewan and the Yukon began reporting conditional sentencing data to the Adult Criminal Court Survey (ACCS) from 1999/2000, and New Brunswick and British Columbia from 2001/2002. Quebec does not report conditional sentencing data at this time. Source:Statistics Canada, CANSIM, table (for fee) 252-0046 and Catalogue no. 85-002-X. Last modified: 2007-12-17.
This dataset displays the population statistics by county and age for England and Wales. This data is derived from statistics from the 2001 UK Census. Due to variation in the data and the shapefile data is not available for Merseyside, West Midlands, West Yorkshire, South Yorkshire, and Tyne and Wear.
This dataset displays data from the 2005 Census of Japan. It displays male population by age, selected age ranges, percentages of age ranges, average average, and median age in the selected prefectures in Japan for the year 2005. Only 30 of the 47 prectures were displayed in the data source. There are also 2 other datasets that break this data up by total and female figures. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau.
This dataset explores total number of cases in adult criminal court by type of sentence and by province and territory for 2005/2006. Source:Statistics Canada, CANSIM, table (for fee) 252-0046 and Catalogue no. 85-002-X. Last modified: 2007-12-17.
The 500 year flood zone was extracted from the Digital Flood Insurance Map data using the flood zone code. "The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available." -- source: metadata
This is the 500 year flood plain for Johnson County, Iowa and the Iowa City area.
This dataset displays data from the 2005 Census of Japan. It displays female population by age, selected age ranges, percentages of age ranges, average average, and median age in the selected prefectures in Japan for the year 2005. Only 30 of the 47 prectures were displayed in the data source. There are also 2 other datasets that break this data up by total and male figures. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau.
This dataset displays data from the 2005 Census of Japan. It displays data on Private Households/Household Members and Persons per Household by size of Household prefectures in Japan. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau.
This dataset displays data from the 2005 Census of Japan. It displays data on data on Institutional Households and Household Members throughout prefectures in Japan. This dataset specifically deals with Students in School Dormitories. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau.
A joint venture involving the National Atlas programs in Canada (Natural Resources Canada), Mexico (Instituto Nacional de Estadstica Geografa e Informtica), and the United States (U.S. Geological Survey), as well as the North American Commission for Environmental Co-operation, has led to the release (June 2004) of several new products: an updated paper map of North America, and its associated geospatial data sets and their metadata. These data sets are available online from each of the partner countries both for download. This data has been revised and re-released in 2006. The North American Atlas data are standardized geospatial data sets at 1:10,000,000 scale. A variety of basic data layers (e.g. roads, railroads, populated places, political boundaries, hydrography, bathymetry, sea ice and glaciers) have been integrated so that their relative positions are correct. This collection of data sets forms a base with which other North American thematic data may be integrated. Any data outside of Canada, Mexico, and the United States of America included in the North American Atlas data sets is strictly to complete the context of the data. The North American Atlas - Political Boundaries data set shows political entities in North America as polygons representing jurisdictional areas, and as lines representing political boundaries, including International boundaries, Provincial boundaries, State or territory boundaries, and the International Date Line.
This dataset explores total number of cases in adult criminal court by type of sentence and by province and territory for 2005/2006. Source:Statistics Canada, CANSIM, table (for fee) 252-0046 and Catalogue no. 85-002-X. Last modified: 2007-12-17.
This layer shows the continuous settlement area of the 1996 Canadian ecumene by census division. The population ecumene captures over 98% of the total population of Canada. The ecumene framework represents an attempt to balance the needs of national scale choropleth mapping with the spatial realities of the Canadian population distribution.
This dataset displays data from the 2005 Census of Japan. It displays data on Institutional Households and Household Members throughout prefectures in Japan. This dataset specifically deals with Inpatients of Hospitals. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau.
This dataset explores total number of cases in adult criminal court by type of sentence and by province and territory for 2005/2006. Source:Statistics Canada, CANSIM, table (for fee) 252-0046 and Catalogue no. 85-002-X. Last modified: 2007-12-17.
This dataset displays the inmate populations for all the Federal Prisons throughout the United States on 6.26.08. This weekly Population Report can be found on the Bureau of Prisons website at bop.gov. These facilities are positioned by their lat/lon and this dataset is updated on a weekly basis.
This dataset explores Canada cattle inventories by province as of July 1, 2007. Values by thousand head. Notes: - Bull: An uncastrated male bovine - Heifer: Female cow that has never borne young - Steer: A castrated male bovine Source: Statistics Canada, CANSIM, table (for fee) 003-0032 and Catalogue no. 23-012-X (free). Last modified: 2008-02-14.
This dataset explores Canada's cattle inventories by province as of January 1, 2008. All values in thousand head. Notes: - Bull: An uncastrated male bovine - Heifer: Female cow that has never borne young - Steer: A castrated male bovine Source: Statistics Canada, CANSIM, table (for fee) 003-0032 and Catalogue no. 23-012-X (free). Last modified: 2008-02-14.
This dataset displays data from the 2005 Census of Japan. It displays data on Institutional Households and Household Members throughout prefectures in Japan. This dataset specifically deals with Inmates of Social Institutions. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau.
A joint venture involving the National Atlas programs in Canada (Natural Resources Canada), Mexico (Instituto Nacional de Estadstica Geografa e Informtica), and the United States (U.S. Geological Survey), as well as the North American Commission for Environmental Co-operation, has led to the release (June 2004) of several new products: an updated paper map of North America, and its associated geospatial data sets and their metadata. These data sets are available online from each of the partner countries both for visualization and download. The North American Atlas data are standardized geospatial data sets at 1:10,000,000 scale. A variety of basic data layers (e.g. roads, railroads, populated places, political boundaries, hydrography, bathymetry, sea ice and glaciers) have been integrated so that their relative positions are correct. This collection of data sets forms a base with which other North American thematic data may be integrated. Any data outside of Canada, Mexico, and the United States of America included in the North American Atlas data sets is strictly to complete the context of the data. The North American Atlas - Populated Places data set shows a selection of named populated places suitable for use at a scale of 1:10,000,000. Places, which refer to individual municipalities, are always shown using point symbols. These symbols have been fitted to the North American Atlas roads, railroads, and hydrography layers, so that the points represent the approximate locations of places relative to data in these other layers.
This dataset displays data from the 2005 Census of Japan. It displays data on Institutional Households and Household Members throughout prefectures in Japan. This dataset specifically deals with Persons in Camps of Self-Defense Forces. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau.
This shapefile contains the locations of all black bear nuisance reports in the state of Florida. Only those records for which geographic coordinates can be obtained are included in this shapefile. The source data for this shapefile can be found at http://wildnet.fwc.state.fl.us/beardata/default.htm These data are available for all people interested in the locations of black bear road kills in the state of Florida
Atlas of Canada National Frameworks data are standardized national coverages of commonly used geospatial datasets at the 1:1 000 000 scale. A variety of framework layers (e.g. hydrology, roads, railways, populated places) have been integrated so that their relative positions are correct. Hydrology (which includes coastline) is the base layer to which all others are fitted. In addition, the Atlas of Canada National Frameworks collection forms a base to which an increasing number of national scale thematic frameworks from other Federal Government agencies are integrated (e.g. ecological regions, census subdivisions). National Scale Frameworks Populated Places, Canada is a selection of named populated places suitable for use at a scale of 1:1 000 000. The points have been fitted to other National Scale Frameworks layers. Therefore, points represent the approximate locations of places relative to these other layers. A subset of data from the Canadian Geographical Names Data Base (CGNDB) were used. The CGNDB is maintained by the Names Section of the Centre for Topographic Information (Government of Canada, Natural Resources Canada). The selection of features was based on population size, historical significance and noteworthiness. Cartographic considerations were also taken into account. The Atlas of Canada National Scale Frameworks are a set of integrated base map layers which form part of a larger National Scale Frameworks data collection. These data have been compiled at a scale of 1:1 000 000 with the primary goal being to indicate correct relative positioning with other framework layers rather than absolute positional accuracy.
This dataset displays data from the 2005 Census of Japan. It displays data on Institutional Households and Household Members throughout prefectures in Japan. This dataset specifically deals with Inmates of Reformatory Institutions. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau.
A joint venture involving the National Atlas programs in Canada (Natural Resources Canada), Mexico (Instituto Nacional de Estadstica Geografa e Informtica), and the United States (U.S. Geological Survey), as well as the North American Commission for Environmental Co-operation, has led to the release (June 2004) of several new products: an updated paper map of North America, and its associated geospatial data sets and their metadata. These data sets are available online from each of the partner countries both for visualization and download. The North American Atlas data are standardized geospatial data sets at 1:10,000,000 scale. A variety of basic data layers (e.g. roads, railroads, populated places, political boundaries, hydrography, bathymetry, sea ice and glaciers) have been integrated so that their relative positions are correct. This collection of data sets forms a base with which other North American thematic data may be integrated. Any data outside of Canada, Mexico, and the United States of America included in the North American Atlas data sets is strictly to complete the context of the data. The North American Atlas - Railroads data set shows the railroads of North America at 1:10,000,000 scale. The railroads selected for this data set are either rail links between major centres of population or major resource railways. There is no classification of rail lines. This data set was produced using digital files supplied by Natural Resources Canada, Instituto Nacional de Estadstica Geografa e Informtica, and the U.S. Geological Survey.
A joint venture involving the National Atlas programs in Canada (Natural Resources Canada), Mexico (Instituto Nacional de Estadstica Geografa e Informtica), and the United States (U.S. Geological Survey), as well as the North American Commission for Environmental Co-operation, has led to the release (June 2004) of several new products: an updated paper map of North America, and its associated geospatial data sets and their metadata. These data sets are available online from each of the partner countries both for download. This data has been revised and re-released in 2006. The North American Atlas data are standardized geospatial data sets at 1:10,000,000 scale. A variety of basic data layers (e.g. roads, railroads, populated places, political boundaries, hydrography, bathymetry, sea ice and glaciers) have been integrated so that their relative positions are correct. This collection of data sets forms a base with which other North American thematic data may be integrated. Any data outside of Canada, Mexico, and the United States of America included in the North American Atlas data sets is strictly to complete the context of the data. The North American Atlas - Roads data set shows the roads of North America at 1:10,000,000 scale. The roads included in this data set are either those that connect major centres of population or selected frontier roads. Roads under construction are not shown. There are three road classes: Major roads, which are divided, multi-lane, limited access highways; Secondary roads, which are all roads that do not meet the definition of major roads; and Ferries, which are major ferry links which run either year round or through periods when ice conditions permit.
This dataset displays data from the 2005 Census of Japan. It displays data on Institutional Households and Household Members throughout prefectures in Japan. This dataset specifically deals with all Institutions that include: Students in School Dormitories, Inpatients in Hospitals, Inmates of Social Institutions, Persons in Camps of Self-Defense, and Inmates of Reformatory Institutions. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau.
This shapefile contains the locations of all black bear road kills in the state of Florida. Only those records for which geographic coordinates can be obtained are included in this shapefile. The source data for this shapefile can be found at
This dataset explores the number of certified organic farms reporting to the 2001 Canadian Census. ... : not applicable. Notes: - The question on certified organic farming was new in 2001. - Due to both undercoverage and response errors, the number of farms producing certified organic products for sale is under-reported. 1. Respondents could choose more than one category. Source: Statistics Canada, Census of Agriculture. Last modified: 2004-05-30.
This dataset explores the components of population growth by province from July 1, 2006 through June 30, 2007. ... : not applicable. Source: Statistics Canada, CANSIM, table (for fee) 051-0004. Last modified: 2007-09-27.
This dataset explores Computer systems design and related services, by province as recorded by Statistics Canada. Notes: - North American Industry Classification System (NAICS), 2002 - 54151. - Estimates for the most recent year are preliminary. Preliminary data are subject to revision. Due to rounding, components may not add to total (where applicable). - Operating revenue excludes investment income, capital gains, extraordinary gains and other non-recurring items. - Operating expenses exclude write-offs, capital losses, extraordinary losses, interest on borrowing, and other non-recurring items. - Salaries, wages and benefits include vacation pay and commissions for all employees for whom a T4 slip was completed and the employer portion of employee benefits for items such as Canada/Qubec Pension Plan or Employment Insurance premiums. - Operating profit margin is derived as follows: operating revenue minus operating expenses, expressed as a percentage of operating revenue. Source: Statistics Canada, CANSIM, table (for fee) 354-0005 and Catalogue no. 63-018-X. Last modified: 2008-05-23.
This dataset explores Computer systems design and related services by province for 2003. Notes: - North American Industry Classification System (NAICS), 2002 - 54151. - Estimates for the most recent year are preliminary. Preliminary data are subject to revision. Due to rounding, components may not add to total (where applicable). - Operating revenue excludes investment income, capital gains, extraordinary gains and other non-recurring items. - Operating expenses exclude write-offs, capital losses, extraordinary losses, interest on borrowing, and other non-recurring items. - Salaries, wages and benefits include vacation pay and commissions for all employees for whom a T4 slip was completed and the employer portion of employee benefits for items such as Canada/Qubec Pension Plan or Employment Insurance premiums. - Operating profit margin is derived as follows: operating revenue minus operating expenses, expressed as a percentage of operating revenue. Source: Statistics Canada, CANSIM, table (for fee) 354-0005 and Catalogue no. 63-018-X. Last modified: 2008-05-23.
This dataset explores Computer systems design and related services by province for 2004. Notes: - North American Industry Classification System (NAICS), 2002 - 54151. - Estimates for the most recent year are preliminary. Preliminary data are subject to revision. Due to rounding, components may not add to total (where applicable). - Operating revenue excludes investment income, capital gains, extraordinary gains and other non-recurring items. - Operating expenses exclude write-offs, capital losses, extraordinary losses, interest on borrowing, and other non-recurring items. - Salaries, wages and benefits include vacation pay and commissions for all employees for whom a T4 slip was completed and the employer portion of employee benefits for items such as Canada/Qubec Pension Plan or Employment Insurance premiums. - Operating profit margin is derived as follows: operating revenue minus operating expenses, expressed as a percentage of operating revenue. Source: Statistics Canada, CANSIM, table (for fee) 354-0005 and Catalogue no. 63-018-X. Last modified: 2008-05-23.
This dataset explores Computer systems design and related services by province for 2005. Notes: - North American Industry Classification System (NAICS), 2002 - 54151. - Estimates for the most recent year are preliminary. Preliminary data are subject to revision. Due to rounding, components may not add to total (where applicable). - Operating revenue excludes investment income, capital gains, extraordinary gains and other non-recurring items. - Operating expenses exclude write-offs, capital losses, extraordinary losses, interest on borrowing, and other non-recurring items. - Salaries, wages and benefits include vacation pay and commissions for all employees for whom a T4 slip was completed and the employer portion of employee benefits for items such as Canada/Qubec Pension Plan or Employment Insurance premiums. - Operating profit margin is derived as follows: operating revenue minus operating expenses, expressed as a percentage of operating revenue. Source: Statistics Canada, CANSIM, table (for fee) 354-0005 and Catalogue no. 63-018-X. Last modified: 2008-05-23.
This dataset explores Computer systems design and related services by province for 2006. Notes: - North American Industry Classification System (NAICS), 2002 - 54151. - Estimates for the most recent year are preliminary. Preliminary data are subject to revision. Due to rounding, components may not add to total (where applicable). - Operating revenue excludes investment income, capital gains, extraordinary gains and other non-recurring items. - Operating expenses exclude write-offs, capital losses, extraordinary losses, interest on borrowing, and other non-recurring items. - Salaries, wages and benefits include vacation pay and commissions for all employees for whom a T4 slip was completed and the employer portion of employee benefits for items such as Canada/Qubec Pension Plan or Employment Insurance premiums. - Operating profit margin is derived as follows: operating revenue minus operating expenses, expressed as a percentage of operating revenue. Source: Statistics Canada, CANSIM, table (for fee) 354-0005 and Catalogue no. 63-018-X. Last modified: 2008-05-23.
This dataset explores the Consumer Price Index, alcoholic beverages and tobacco products, by province for 2003 in Canada. Note: Annual average indexes are obtained by averaging the indexes for the 12 months of the calendar year. Source: Statistics Canada, CANSIM, table (for fee) 326-0021 and Catalogue nos. 62-001-X and 62-010-X. Last modified: 2008-04-22.
This dataset explores the Consumer Price Index, alcoholic beverages and tobacco products, by province for 2003 in Canada. Note: Annual average indexes are obtained by averaging the indexes for the 12 months of the calendar year. Source: Statistics Canada, CANSIM, table (for fee) 326-0021 and Catalogue nos. 62-001-X and 62-010-X. Last modified: 2008-04-22.
This dataset explores the Consumer Price Index, alcoholic beverages and tobacco products, by province for 2003 in Canada. Note: Annual average indexes are obtained by averaging the indexes for the 12 months of the calendar year. Source: Statistics Canada, CANSIM, table (for fee) 326-0021 and Catalogue nos. 62-001-X and 62-010-X. Last modified: 2008-04-22.
The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available." -- source: metadata
This dataset explores the consumer price index (CPI) by province for 2003. * 2002 = 0 A consumer price index (CPI) is an index number measuring the average price of consumer goods and services purchased by households. It is one of several price indices calculated by national statistical agencies. The percent change in the CPI is a measure of inflation. The CPI can be used to index (i.e., adjust for the effects of inflation) wages, salaries, pensions, or regulated or contracted prices. The CPI is, along with the population census and the National Income and Product Accounts, one of the most closely watched national economic statistics. Note: Annual average indexes are obtained by averaging the indexes for the 12 months of the calendar year. Source: Statistics Canada, CANSIM, table (for fee) 326-0021 and Catalogue nos. 62-001-X and 62-010-X. Last modified: 2008-04-22.
This dataset explores the consumer price index (CPI) by province for 2004. * 2002 = 0 A consumer price index (CPI) is an index number measuring the average price of consumer goods and services purchased by households. It is one of several price indices calculated by national statistical agencies. The percent change in the CPI is a measure of inflation. The CPI can be used to index (i.e., adjust for the effects of inflation) wages, salaries, pensions, or regulated or contracted prices. The CPI is, along with the population census and the National Income and Product Accounts, one of the most closely watched national economic statistics. Note: Annual average indexes are obtained by averaging the indexes for the 12 months of the calendar year. Source: Statistics Canada, CANSIM, table (for fee) 326-0021 and Catalogue nos. 62-001-X and 62-010-X. Last modified: 2008-04-22.
This dataset explores the consumer price index (CPI) by province for 2005. * 2002 = 0 A consumer price index (CPI) is an index number measuring the average price of consumer goods and services purchased by households. It is one of several price indices calculated by national statistical agencies. The percent change in the CPI is a measure of inflation. The CPI can be used to index (i.e., adjust for the effects of inflation) wages, salaries, pensions, or regulated or contracted prices. The CPI is, along with the population census and the National Income and Product Accounts, one of the most closely watched national economic statistics. Note: Annual average indexes are obtained by averaging the indexes for the 12 months of the calendar year. Source: Statistics Canada, CANSIM, table (for fee) 326-0021 and Catalogue nos. 62-001-X and 62-010-X. Last modified: 2008-04-22.
This dataset explores the consumer price index (CPI) by province for 2006. * 2002 = 0 A consumer price index (CPI) is an index number measuring the average price of consumer goods and services purchased by households. It is one of several price indices calculated by national statistical agencies. The percent change in the CPI is a measure of inflation. The CPI can be used to index (i.e., adjust for the effects of inflation) wages, salaries, pensions, or regulated or contracted prices. The CPI is, along with the population census and the National Income and Product Accounts, one of the most closely watched national economic statistics. Note: Annual average indexes are obtained by averaging the indexes for the 12 months of the calendar year. Source: Statistics Canada, CANSIM, table (for fee) 326-0021 and Catalogue nos. 62-001-X and 62-010-X. Last modified: 2008-04-22.
This dataset explores the consumer price index (CPI) by province for 2007. * 2002 = 0 A consumer price index (CPI) is an index number measuring the average price of consumer goods and services purchased by households. It is one of several price indices calculated by national statistical agencies. The percent change in the CPI is a measure of inflation. The CPI can be used to index (i.e., adjust for the effects of inflation) wages, salaries, pensions, or regulated or contracted prices. The CPI is, along with the population census and the National Income and Product Accounts, one of the most closely watched national economic statistics. Note: Annual average indexes are obtained by averaging the indexes for the 12 months of the calendar year. Source: Statistics Canada, CANSIM, table (for fee) 326-0021 and Catalogue nos. 62-001-X and 62-010-X. Last modified: 2008-04-22.
This dataset explores crimes by offences in Canada by province for the year 2006. 1. "Assault level 1" is the first level of assault. It constitutes the intentional application of force without consent, the attempt or threat to apply force to another person, or openly wearing a weapon (or an imitation) while accosting or impeding another person. 2. Includes unlawfully causing bodily harm, discharging firearms with intent, abductions, assaults against police officers, assaults against other peace or public officers and other assaults. 3. Includes dangerous operation of motor vehicle, boat, vessel or aircraft, dangerous operation of motor vehicle, boat, vessel or aircraft causing bodily harm or death, driving motor vehicle while prohibited and failure to stop or remain. Source: Statistics Canada, CANSIM, table (for fee) 252-0013. Last modified: 2007-08-08.
This coverage represents year MODIS fire detections for the 7 day period specified for the geographic area covering the conterminous United States, Alaska, Hawaii, Canada and northern Mexico. The detections are obtained using both TERRA MODIS and AQUA MODIS data are collected and processed as a cooperative effort between the USDA Forest Service Remote Sensing Application Center, NASA-Goddard Space Flight Center and the University of Maryland. These fire detection data are collected for the USDA Forest Service MODIS Active Fire Mapping Program (http://activefiremaps.fs.fed.us). These data are intended to provide a synoptic view of active fires for the past and present over the specified time period. These data are collected at a spatial resolution of 1 kilometer and therefore are only intended for geographic display and analysis at the national and regional levels. No responsibility is assumed by the USDA Forest Service in the use of these data.
Wildfires have consumed much of the western USA in the past couple days. Red Flag warnings are currently up in SW Colorado, Southern Utah, Northern Nevada, and in parts of Oregon and Washington. This dataset shows current conditions of these fires from the past 12 hours in United States. These fire information products were compiled at the USDA Forest Service (USFS) Remote Sensing Applications Center in cooperation with NASA Goddard Space Flight Center, the University of Maryland, the National Interagency Fire Center, and the USFS Missoula Fire Sciences Lab. For more information visit activefiremaps.fs.fed.us/recent3.php
This dataset explores the average number of days lost per worker by province for the year 2003-2007 in Canada. Note: Includes full-time paid workers only. Source: Statistics Canada, CANSIM, table (for fee) 279-0029. Last Modified: 2008-05-22.
This is a dataset of points for the official Indiana State Government State Disaster Recovery Centers for the flooding in June of 2008. The point contain the address and phone number of the centers and indicate if the center is a One-Stop Disaster Assistance Center.
This datasets displays the locations of all recorded earthquakes of a magnitude of 1 or greater around the world from the period of 6.23.08 to 6.30.08. The findings are from the US Geological Survey (USGS). Earthquake information is extracted from a merged catalog of earthquakes located by the USGS and contributing networks. Earthquakes will be broadcast within a few minutes for California events and within 30-minutes for world-wide events.
This is a dataset of points of the first 40 Cedar Rapids structures that will be bought out and razed by the city due to flood damage. Points provide the address of each structure.
This dataset explores the days of work lost per worker due to illness or disability by province in Canada for 2003-2007. Note: Includes full-time paid workers only. Source: Statistics Canada, CANSIM, table 279-0029. Last Modified: 2008-05-22.
This dataset displays the population and dwelling counts for Canada by census division. Content considerations: The 2006 Census population counts for a particular area represent the number of Canadians whose usual place of residence is in that area, regardless of where they happened to be on Census Day. Also included are any Canadians who were staying in that area on Census Day and who had no usual place of residence elsewhere in Canada, as well as those considered to be non-permanent residents. The dwelling counts refer to total private dwellings and private dwellings occupied by usual residents in Canada. The census dwelling counts do not include collective dwellings, which are dwellings of a commercial, institutional or communal nature. The usual residents in collective dwellings are, however, included in the population counts. Changes occur to the names, boundaries, and other characteristics of geographic areas. Users wishing to compare 2006 Census data with those of other censuses should then take into account that the boundaries of geographic areas may change from one census to another. In order to facilitate comparison, the 2001 Census counts are adjusted as needed to take into account boundary changes between the 2001 and 2006 censuses. This symbol may also refer to corrections to the 2001 counts; however, most of these are the result of boundary changes. This symbol is also used to identify areas that have been created since 2001, such as newly incorporated municipalities (census subdivisions) and new designated places (DPLs). Land area is the area in square kilometres of the land-based portions of standard geographic areas.
This dataset displays the population and dwelling counts for Canada by census division. Content considerations: The 2006 Census population counts for a particular area represent the number of Canadians whose usual place of residence is in that area, regardless of where they happened to be on Census Day. Also included are any Canadians who were staying in that area on Census Day and who had no usual place of residence elsewhere in Canada, as well as those considered to be non-permanent residents. The dwelling counts refer to total private dwellings and private dwellings occupied by usual residents in Canada. The census dwelling counts do not include collective dwellings, which are dwellings of a commercial, institutional or communal nature. The usual residents in collective dwellings are, however, included in the population counts. Changes occur to the names, boundaries, and other characteristics of geographic areas. Users wishing to compare 2006 Census data with those of other censuses should then take into account that the boundaries of geographic areas may change from one census to another. In order to facilitate comparison, the 2001 Census counts are adjusted as needed to take into account boundary changes between the 2001 and 2006 censuses. This symbol may also refer to corrections to the 2001 counts; however, most of these are the result of boundary changes. This symbol is also used to identify areas that have been created since 2001, such as newly incorporated municipalities (census subdivisions) and new designated places (DPLs). Land area is the area in square kilometres of the land-based portions of standard geographic areas.
This dataset displays the population and dwelling counts for Canada by census division. Content considerations: The 2006 Census population counts for a particular area represent the number of Canadians whose usual place of residence is in that area, regardless of where they happened to be on Census Day. Also included are any Canadians who were staying in that area on Census Day and who had no usual place of residence elsewhere in Canada, as well as those considered to be non-permanent residents. The dwelling counts refer to total private dwellings and private dwellings occupied by usual residents in Canada. The census dwelling counts do not include collective dwellings, which are dwellings of a commercial, institutional or communal nature. The usual residents in collective dwellings are, however, included in the population counts. Changes occur to the names, boundaries, and other characteristics of geographic areas. Users wishing to compare 2006 Census data with those of other censuses should then take into account that the boundaries of geographic areas may change from one census to another. In order to facilitate comparison, the 2001 Census counts are adjusted as needed to take into account boundary changes between the 2001 and 2006 censuses. This symbol may also refer to corrections to the 2001 counts; however, most of these are the result of boundary changes. This symbol is also used to identify areas that have been created since 2001, such as newly incorporated municipalities (census subdivisions) and new designated places (DPLs). Land area is the area in square kilometres of the land-based portions of standard geographic areas.
This dataset explores the death rate in Canada by province for 2002-2007. Note: From July 1 of one year to June 30 of the next year. Source: Statistics Canada, CANSIM, table (for fee) 051-0004 and Catalogue no. 91-213-X. Last modified: 2007-09-27.
This dataset displays data from the 2005 Census of Japan. It displays data on Private Households throughout prefectures in Japan. This dataset specifically deals with number of Private Households, Number of Private Household Members, and Average number of Members per Private Household. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau.
This dataset explores department store sales by province for the years 2001-2004 in Canada. x : suppressed to meet the confidentiality requirements of the Statistics Act .. : not available for a specific period of time. . : not available for any reference period. Note: Statistics Canada is no longer publishing separate figures for Department Stores due to confidentiality constraints. Instead, Department Stores sales will be combined in the near future with Other General Merchandise Stores sales under the grouping General Merchandise Stores. Source: Statistics Canada, CANSIM, table (for fee) 076-0005. Last modified: 2006-02-21.
This dataset displays the population and dwelling counts for Canada by census division. Content considerations: The 2006 Census population counts for a particular area represent the number of Canadians whose usual place of residence is in that area, regardless of where they happened to be on Census Day. Also included are any Canadians who were staying in that area on Census Day and who had no usual place of residence elsewhere in Canada, as well as those considered to be non-permanent residents. The dwelling counts refer to total private dwellings and private dwellings occupied by usual residents in Canada. The census dwelling counts do not include collective dwellings, which are dwellings of a commercial, institutional or communal nature. The usual residents in collective dwellings are, however, included in the population counts. Changes occur to the names, boundaries, and other characteristics of geographic areas. Users wishing to compare 2006 Census data with those of other censuses should then take into account that the boundaries of geographic areas may change from one census to another. In order to facilitate comparison, the 2001 Census counts are adjusted as needed to take into account boundary changes between the 2001 and 2006 censuses. This symbol may also refer to corrections to the 2001 counts; however, most of these are the result of boundary changes. This symbol is also used to identify areas that have been created since 2001, such as newly incorporated municipalities (census subdivisions) and new designated places (DPLs). Land area is the area in square kilometres of the land-based portions of standard geographic areas.
This dataset explores Disposal and diversion of waste by province in Canada in 2002, 2004 and the percent change from 2002-2004. x : suppressed to meet the confidentiality requirements of the Statistics Act Note: Figures may not add up to totals due to rounding. 1. Total amount of non-hazardous waste disposed of in public and private waste disposal facilities. This includes waste that is exported out of the source province or out of the country for disposal. This does not include wastes disposed in hazardous waste disposal facilities or wastes managed by the waste generator on site. 2. Waste diversion and residential sector disposal data are derived from a survey administered by RECYC-QUBEC. Source: Statistics Canada, Environment Accounts and Statistics Division. Last modified: 2008-04-10.
This dataset explores Distribution of employed people by industry and province in Canada for 2007. 1. Formerly Management of companies, administrative and other support services. Source: Statistics Canada, CANSIM, table (for fee) 282-0008 and Catalogue no 71F0004XCB. Last modified: 2008-01-10.
This dataset provides all updates of the cases of Slamonella Saintpaul throughout the U.S. from June 2nd to June 27th. These cases have been connected to the consumption of raw tomatoes. The numbers provided are the number of cases based on the state of residence of the person infected. The estimated population for 2007 has also been included for each state.
This dataset includes average domestic itinerary airfares for the top 100 U.S. Airports. Time periods include 4Q 2000, 4Q 2004, 4Q 2005, 4Q 2006, 4Q 2007. Percent changes for 2000-2007 and 2006-2007 are also included.
This dataset displays data from the 2005 Census of Japan. It displays data on Private Households throughout prefectures in Japan. This dataset specifically deals with number of Private Households living in dwelling, Number of Private Household living in dwelling Members, Average number of Members per Private Household living in dwelling, Area of Floor Space per Household of Private households living in dwelling, and Area of Floor Space per Person of Private households living in dwelling. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau.
This dataset displays the population and dwelling counts for Canada by census division. Content considerations: The 2006 Census population counts for a particular area represent the number of Canadians whose usual place of residence is in that area, regardless of where they happened to be on Census Day. Also included are any Canadians who were staying in that area on Census Day and who had no usual place of residence elsewhere in Canada, as well as those considered to be non-permanent residents. The dwelling counts refer to total private dwellings and private dwellings occupied by usual residents in Canada. The census dwelling counts do not include collective dwellings, which are dwellings of a commercial, institutional or communal nature. The usual residents in collective dwellings are, however, included in the population counts. Changes occur to the names, boundaries, and other characteristics of geographic areas. Users wishing to compare 2006 Census data with those of other censuses should then take into account that the boundaries of geographic areas may change from one census to another. In order to facilitate comparison, the 2001 Census counts are adjusted as needed to take into account boundary changes between the 2001 and 2006 censuses. This symbol may also refer to corrections to the 2001 counts; however, most of these are the result of boundary changes. This symbol is also used to identify areas that have been created since 2001, such as newly incorporated municipalities (census subdivisions) and new designated places (DPLs). Land area is the area in square kilometres of the land-based portions of standard geographic areas.
This dataset explores the Distribution of House of Commons seats at general elections by province for 2006. Source: Elections Canada. Last modified: 2007-01-18.
This dataset displays the population and dwelling counts for Canada by census division. Content considerations: The 2006 Census population counts for a particular area represent the number of Canadians whose usual place of residence is in that area, regardless of where they happened to be on Census Day. Also included are any Canadians who were staying in that area on Census Day and who had no usual place of residence elsewhere in Canada, as well as those considered to be non-permanent residents. The dwelling counts refer to total private dwellings and private dwellings occupied by usual residents in Canada. The census dwelling counts do not include collective dwellings, which are dwellings of a commercial, institutional or communal nature. The usual residents in collective dwellings are, however, included in the population counts. Changes occur to the names, boundaries, and other characteristics of geographic areas. Users wishing to compare 2006 Census data with those of other censuses should then take into account that the boundaries of geographic areas may change from one census to another. In order to facilitate comparison, the 2001 Census counts are adjusted as needed to take into account boundary changes between the 2001 and 2006 censuses. This symbol may also refer to corrections to the 2001 counts; however, most of these are the result of boundary changes. This symbol is also used to identify areas that have been created since 2001, such as newly incorporated municipalities (census subdivisions) and new designated places (DPLs). Land area is the area in square kilometres of the land-based portions of standard geographic areas.
This dataset displays the population and dwelling counts for Canada by census division. Content considerations: The 2006 Census population counts for a particular area represent the number of Canadians whose usual place of residence is in that area, regardless of where they happened to be on Census Day. Also included are any Canadians who were staying in that area on Census Day and who had no usual place of residence elsewhere in Canada, as well as those considered to be non-permanent residents. The dwelling counts refer to total private dwellings and private dwellings occupied by usual residents in Canada. The census dwelling counts do not include collective dwellings, which are dwellings of a commercial, institutional or communal nature. The usual residents in collective dwellings are, however, included in the population counts. Changes occur to the names, boundaries, and other characteristics of geographic areas. Users wishing to compare 2006 Census data with those of other censuses should then take into account that the boundaries of geographic areas may change from one census to another. In order to facilitate comparison, the 2001 Census counts are adjusted as needed to take into account boundary changes between the 2001 and 2006 censuses. This symbol may also refer to corrections to the 2001 counts; however, most of these are the result of boundary changes. This symbol is also used to identify areas that have been created since 2001, such as newly incorporated municipalities (census subdivisions) and new designated places (DPLs). Land area is the area in square kilometres of the land-based portions of standard geographic areas.
This dataset explores the number of divorces in Canada by province for the years 1999 - 2003. .. : not available for a specific period of time. Source: Statistics Canada, CANSIM, table (for fee) 053-0002. Last modified: 2006-03-22.
This dataset displays data from the 2005 Census of Japan. It displays data on Private Households throughout prefectures in Japan. This dataset specifically deals with number of Private Households principal households, Number of Private Household principal households Members, Average number of Members per Private Household principal households, Area of Floor Space per Household of Private households principal households, and Area of Floor Space per Person of Private households principal households. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau.
This dataset explores Domestic and international cargo, tonnage loaded and unloaded by water transport, by province and territory in Canada for 2001-2005. Source: Statistics Canada, Catalogue no. 54-205-X. Last modified: 2008-05-06.
This dataset displays the population and dwelling counts for Canada by census division. Content considerations: The 2006 Census population counts for a particular area represent the number of Canadians whose usual place of residence is in that area, regardless of where they happened to be on Census Day. Also included are any Canadians who were staying in that area on Census Day and who had no usual place of residence elsewhere in Canada, as well as those considered to be non-permanent residents. The dwelling counts refer to total private dwellings and private dwellings occupied by usual residents in Canada. The census dwelling counts do not include collective dwellings, which are dwellings of a commercial, institutional or communal nature. The usual residents in collective dwellings are, however, included in the population counts. Changes occur to the names, boundaries, and other characteristics of geographic areas. Users wishing to compare 2006 Census data with those of other censuses should then take into account that the boundaries of geographic areas may change from one census to another. In order to facilitate comparison, the 2001 Census counts are adjusted as needed to take into account boundary changes between the 2001 and 2006 censuses. This symbol may also refer to corrections to the 2001 counts; however, most of these are the result of boundary changes. This symbol is also used to identify areas that have been created since 2001, such as newly incorporated municipalities (census subdivisions) and new designated places (DPLs). Land area is the area in square kilometres of the land-based portions of standard geographic areas.
This dataset displays the population and dwelling counts for Canada by census division. Content considerations: The 2006 Census population counts for a particular area represent the number of Canadians whose usual place of residence is in that area, regardless of where they happened to be on Census Day. Also included are any Canadians who were staying in that area on Census Day and who had no usual place of residence elsewhere in Canada, as well as those considered to be non-permanent residents. The dwelling counts refer to total private dwellings and private dwellings occupied by usual residents in Canada. The census dwelling counts do not include collective dwellings, which are dwellings of a commercial, institutional or communal nature. The usual residents in collective dwellings are, however, included in the population counts. Changes occur to the names, boundaries, and other characteristics of geographic areas. Users wishing to compare 2006 Census data with those of other censuses should then take into account that the boundaries of geographic areas may change from one census to another. In order to facilitate comparison, the 2001 Census counts are adjusted as needed to take into account boundary changes between the 2001 and 2006 censuses. This symbol may also refer to corrections to the 2001 counts; however, most of these are the result of boundary changes. This symbol is also used to identify areas that have been created since 2001, such as newly incorporated municipalities (census subdivisions) and new designated places (DPLs). Land area is the area in square kilometres of the land-based portions of standard geographic areas.
This dataset displays the population and dwelling counts for Canada by census division. Content considerations: The 2006 Census population counts for a particular area represent the number of Canadians whose usual place of residence is in that area, regardless of where they happened to be on Census Day. Also included are any Canadians who were staying in that area on Census Day and who had no usual place of residence elsewhere in Canada, as well as those considered to be non-permanent residents. The dwelling counts refer to total private dwellings and private dwellings occupied by usual residents in Canada. The census dwelling counts do not include collective dwellings, which are dwellings of a commercial, institutional or communal nature. The usual residents in collective dwellings are, however, included in the population counts. Changes occur to the names, boundaries, and other characteristics of geographic areas. Users wishing to compare 2006 Census data with those of other censuses should then take into account that the boundaries of geographic areas may change from one census to another. In order to facilitate comparison, the 2001 Census counts are adjusted as needed to take into account boundary changes between the 2001 and 2006 censuses. This symbol may also refer to corrections to the 2001 counts; however, most of these are the result of boundary changes. This symbol is also used to identify areas that have been created since 2001, such as newly incorporated municipalities (census subdivisions) and new designated places (DPLs). Land area is the area in square kilometres of the land-based portions of standard geographic areas.
This dataset displays data from the 2005 Census of Japan. It displays data on Private Households throughout prefectures in Japan. This dataset specifically deals with number of Private Households owned households, Number of Private Household owned households Members, Average number of Members per Private Household owned households, Area of Floor Space per Household of Private households owned households, and Area of Floor Space per Person of Private households owned households. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau.
This dataset displays data from the 2005 Census of Japan. It displays data on Private Households throughout prefectures in Japan. This dataset specifically deals with number of Private Households Rented Houses owned by the Local Government, Number of Private Household Rented Houses owned by the Local Government Members, Average number of Members per Private Household Rented Houses owned by the Local Government, Area of Floor Space per Household of Private households Rented Houses owned by the Local Government, and Area of Floor Space per Person of Private households Rented Houses owned by the Local Government. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau.
This dataset displays data from the 2005 Census of Japan. It displays data on Private Households throughout prefectures in Japan. This dataset specifically deals with number of Rented Households owned by Incorporated Administration Agency and Public Cooperation, Number of Rented Households owned by Incorporated Administration Agency and Public Cooperation Members, Average number of Members per Rented Households owned by Incorporated Administration Agency and Public Cooperation, Area of Floor Space per Household of Rented Households owned by Incorporated Administration Agency and Public Cooperation, and Area of Floor Space per Person of Rented Households owned by Incorporated Administration Agency and Public Cooperation. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau.
This dataset displays data from the 2005 Census of Japan. It displays data on Private Households throughout prefectures in Japan. This dataset specifically deals with number of Rented Households owned Privately, Number of Rented Households owned Privately Members, Average number of Members per Rented Households owned Privately, Area of Floor Space per Household of Rented Households owned Privately, and Area of Floor Space per Person of Rented Households owned Privately. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau.
Hospital directory for Washington State CHARS Hospitals.
This dataset displays the population figures for Canada according to age and sex. Included in the various datasets are figures for male, female, and total according to their respective age group. The included age groups are: 0 to 14, 15 to 64, 65 and Over, 80 and Over, and Total Population. This information is split between three different datasets; one dataset for male, female, and total population figures. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset displays the population figures for Canada according to age and sex. Included in the various datasets are figures for male, female, and total according to their respective age group. The included age groups are: 0 to 14, 15 to 64, 65 and Over, 80 and Over, and Total Population. This information is split between three different datasets; one dataset for male, female, and total population figures. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset displays the population figures for Canada according to age and sex. Included in the various datasets are figures for male, female, and total according to their respective age group. The included age groups are: 0 to 14, 15 to 64, 65 and Over, 80 and Over, and Total Population. This information is split between three different datasets; one dataset for male, female, and total population figures. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset displays the population figures for Canada according to age and sex. Included in the various datasets are figures for male, female, and total according to their respective age group. The included age groups are: 0 to 14, 15 to 64, 65 and Over, 80 and Over, and Total Population. This information is split between three different datasets; one dataset for male, female, and total population figures. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset displays data from the 2005 Census of Japan. It displays data on Private Households throughout prefectures in Japan. This dataset specifically deals with number of Rented Households Issued Housing, Number of Rented Households Issued Housing Members, Average number of Members per Rented Households Issued Housing, Area of Floor Space per Household of Rented Households Issued Housing, and Area of Floor Space per Person of Rented Households Issued Housing. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau.
This dataset displays the population figures for Canada according to age and sex. Included in the various datasets are figures for male, female, and total according to their respective age group. The included age groups are: 0 to 14, 15 to 64, 65 and Over, 80 and Over, and Total Population. This information is split between three different datasets; one dataset for male, female, and total population figures. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset displays the population figures for Canada according to age and sex. Included in the various datasets are figures for male, female, and total according to their respective age group. The included age groups are: 0 to 14, 15 to 64, 65 and Over, 80 and Over, and Total Population. This information is split between three different datasets; one dataset for male, female, and total population figures. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset displays the population figures for Canada according to age and sex. Included in the various datasets are figures for male, female, and total according to their respective age group. The included age groups are: 0 to 14, 15 to 64, 65 and Over, 80 and Over, and Total Population. This information is split between three different datasets; one dataset for male, female, and total population figures. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset displays the population figures for Canada according to age and sex. Included in the various datasets are figures for male, female, and total according to their respective age group. The included age groups are: 0 to 14, 15 to 64, 65 and Over, 80 and Over, and Total Population. This information is split between three different datasets; one dataset for male, female, and total population figures. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset displays the population figures for Canada according to age and sex. Included in the various datasets are figures for male, female, and total according to their respective age group. The included age groups are: 0 to 14, 15 to 64, 65 and Over, 80 and Over, and Total Population. This information is split between three different datasets; one dataset for male, female, and total population figures. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset displays the population figures for Canada according to age and sex. Included in the various datasets are figures for male, female, and total according to their respective age group. The included age groups are: 0 to 14, 15 to 64, 65 and Over, 80 and Over, and Total Population. This information is split between three different datasets; one dataset for male, female, and total population figures. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset displays data from the 2005 Census of Japan. It displays data on Private Households throughout prefectures in Japan. This dataset specifically deals with number of Private Households with Rented Rooms, Number of Private Households with Rented Rooms Members, Average number of Members per Private Households with Rented Rooms, Area of Floor Space per Household of Private Households with Rented Rooms, and Area of Floor Space per Person of Private Households with Rented Rooms. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau.
This dataset displays data from the 2005 Census of Japan. It displays data on Private Households with Related Members 65 Years of Age and Over throughout prefectures in Japan. This dataset specifically deals with number of Private Households with Related Members 65 Years of Age and Over, Number of Private Households with Related Members 65 Years of Age and Over, and number of 65 and older persons living with related members. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau.
This dataset explores Domestic spending on research and development (GERD)funding by sector and province in Canada for the years 2001-2005. Notes: - Gross Domestic Expenditures on Research and Development (GERD) refers to all monies expended for Research and Development (R & D) performed within the country in a given year. - Total GERD is often displayed by performing sector as well as by funding sector. - More recent preliminary data at the Canada level is available from CANSIM table (for fee) 358-0001. Sources: Statistics Canada, CANSIM, table (for fee) 358-0001 and Catalogue no. 88F0006XIE. Last modified: 2008-02-07.
This dataset displays the population figures for Canada according to age and sex. Included in the various datasets are figures for male, female, and total according to their respective age group. The included age groups are: 0 to 14, 15 to 64, 65 and Over, 80 and Over, and Total Population. This information is split between three different datasets; one dataset for male, female, and total population figures. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
The trails included in this dataset are owned and/or operated by Boulder County. purpose: To provide accurate spatial and tabular data for all trails that are owned and/or operated by Boulder County. Many meetings were held with Operations and Law Enforcement staff to ensure that attribute values were agreed upon and corrected from the previous dataset. Niwot and Rock Creek/Coal Creek are the most complex trail systems since there are multiple entities involved in the ownership and maintenance of individual trail segments. The data is accurate to the best of the knowledge by BCPOS staff.
This dataset displays the population figures for Canada according to age and sex. Included in the various datasets are figures for male, female, and total according to their respective age group. The included age groups are: 0 to 14, 15 to 64, 65 and Over, 80 and Over, and Total Population. This information is split between three different datasets; one dataset for male, female, and total population figures. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset displays the population figures for Canada according to age and sex. Included in the various datasets are figures for male, female, and total according to their respective age group. The included age groups are: 0 to 14, 15 to 64, 65 and Over, 80 and Over, and Total Population. This information is split between three different datasets; one dataset for male, female, and total population figures. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset displays data from the 2005 Census of Japan. It displays data on Aged Single Persons throughout prefectures in Japan. This dataset specifically breaks up the age ranges into 6 different categories (65 and older, 65-69, 70-74, 75-79, 80-84 85 and older) for males, females, and both sexes. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau.
This dataset displays the population figures for Canada according to age and sex. Included in the various datasets are figures for male, female, and total according to their respective age group. The included age groups are: 0 to 14, 15 to 64, 65 and Over, 80 and Over, and Total Population. This information is split between three different datasets; one dataset for male, female, and total population figures. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset displays the population figures for Canada according to age and sex. Included in the various datasets are figures for male, female, and total according to their respective age group. The included age groups are: 0 to 14, 15 to 64, 65 and Over, 80 and Over, and Total Population. This information is split between three different datasets; one dataset for male, female, and total population figures. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset displays the population figures for Canada according to age and sex. Included in the various datasets are figures for male, female, and total according to their respective age group. The included age groups are: 0 to 14, 15 to 64, 65 and Over, 80 and Over, and Total Population. This information is split between three different datasets; one dataset for male, female, and total population figures. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset displays the population figures for Canada according to age and sex. Included in the various datasets are figures for male, female, and total according to their respective age group. The included age groups are: 0 to 14, 15 to 64, 65 and Over, 80 and Over, and Total Population. This information is split between three different datasets; one dataset for male, female, and total population figures. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset displays the population figures for Canada according to age and sex. Included in the various datasets are figures for male, female, and total according to their respective age group. The included age groups are: 0 to 14, 15 to 64, 65 and Over, 80 and Over, and Total Population. This information is split between three different datasets; one dataset for male, female, and total population figures. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset displays all airports located in the state of North Carolina. The data is represented as point data. It comes from The North Carolina Center for Geographic Information and Analysis (NCCGIA) and the information comes from the FAA. It was produced in March of 2004. These data were created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS). Please visit cgia.state.nc.us for more information
This dataset displays the population figures for Canada according to age and sex. Included in the various datasets are figures for male, female, and total according to their respective age group. The included age groups are: 0 to 14, 15 to 64, 65 and Over, 80 and Over, and Total Population. This information is split between three different datasets; one dataset for male, female, and total population figures. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset displays the population figures for Canada according to age and sex. Included in the various datasets are figures for male, female, and total according to their respective age group. The included age groups are: 0 to 14, 15 to 64, 65 and Over, 80 and Over, and Total Population. This information is split between three different datasets; one dataset for male, female, and total population figures. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset displays the population figures for Canada according to age and sex. Included in the various datasets are figures for male, female, and total according to their respective age group. The included age groups are: 0 to 14, 15 to 64, 65 and Over, 80 and Over, and Total Population. This information is split between three different datasets; one dataset for male, female, and total population figures. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
"Facilities in the District that have above ground storage tanks." Attributes include company name, contact information, and chemical hazards.
This dataset displays the population figures for Canada according to age and sex. Included in the various datasets are figures for male, female, and total according to their respective age group. The included age groups are: 0 to 14, 15 to 64, 65 and Over, 80 and Over, and Total Population. This information is split between three different datasets; one dataset for male, female, and total population figures. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset displays the population figures for Canada according to age and sex. Included in the various datasets are figures for male, female, and total according to their respective age group. The included age groups are: 0 to 14, 15 to 64, 65 and Over, 80 and Over, and Total Population. This information is split between three different datasets; one dataset for male, female, and total population figures. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset displays the population figures for Canada according to age and sex. Included in the various datasets are figures for male, female, and total according to their respective age group. The included age groups are: 0 to 14, 15 to 64, 65 and Over, 80 and Over, and Total Population. This information is split between three different datasets; one dataset for male, female, and total population figures. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset lists and describes all sites that are part of DC's African American Heritage Trail: "Historic and cultural sites detailing African American History in DC."
This dataset displays the population figures for Canada according to age and sex. Included in the various datasets are figures for male, female, and total according to their respective age group. The included age groups are: 0 to 14, 15 to 64, 65 and Over, 80 and Over, and Total Population. This information is split between three different datasets; one dataset for male, female, and total population figures. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset displays the population figures for Canada according to age and sex. Included in the various datasets are figures for male, female, and total according to their respective age group. The included age groups are: 0 to 14, 15 to 64, 65 and Over, 80 and Over, and Total Population. This information is split between three different datasets; one dataset for male, female, and total population figures. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
The North Carolina Department of Environment and Natural Resources, Division of Water Quality developed the digital Animal Operation Permits data to define the location of animal operation permits throughout the state. These data were created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS). Please visit cgia.state.nc.us for more information
This dataset displays the population figures for Canada according to age and sex. Included in the various datasets are figures for male, female, and total according to their respective age group. The included age groups are: 0 to 14, 15 to 64, 65 and Over, 80 and Over, and Total Population. This information is split between three different datasets; one dataset for male, female, and total population figures. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
National Wildlife Refuges in Texas owned by the U.S. Fish and Wildlife Service (USFWS). Digitized by Texas General Land Office from hardcopy maps provided by the USFWS Realty Division. Areas with REFUGE_SOURCE values of "USFWS" were provided by the USFWS as AutoCAD drawings. Cartographic display only, at scales of 1:24,000 and smaller. Data do not purport to accurately delineate boundaries between public and private land.USFWS refuge areas acquired since 1992 have been added from various sources and may not be correctly depicted.
Point locations representing aquaculture facilities in Texas coastal counties Data digitized by Txas General Land Office based on Texas Dept. of Agriculture information (street addresses and verbal descriptions) For display/cartography at 1:24,000 scale or smaller (locations not exact) Data was reprojected from state a state plain.
Public access points to bays and Gulf beaches in Texas coastal counties. Data collected by the Texas General Land Office in cooperation with coastal municipal and county governments. For display/cartography at 1:24,000 scale or smaller (locations may be inexact)
Locations of boat launch facilities on the Texas coast. Data digitized by the Texas Parks and Wildlife Department. For display/cartography at 1:24,000 or smaller scales. Some locations may be inexact. Some facilities may no longer be open Data was reprojected from a state plain.
The North Carolina Department of Environment and Natural Resources, Division of Water Quality, in cooperation with the NC Center for Geographic Information and Analysis, developed the GIS data set, Ambient Water Quality Monitoring Sites data to enhance planning, siting, and impact analysis in areas directly affecting water quality. This file identifies locations in North Carolina where water quality data are collected on a routine basis and analyzed for presence of various chemicals. These data were created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS). Please visit cgia.state.nc.us for more information
This is a polygon dataset delineating areas in the Gulf of Mexico that are excluded from Regional Response Team VI (RRT 6) pre-approval for the use of in-situ burning to remediate the effects of an oil spill. These areas surround shoals, natural banks, hard bottom habitats, artificial reefs, and the town of Grand Isle. The exclusion area around Grand Isle is observed if a south or generally on-shore wind condition exists.
This dataset displays the population figures for Canada according to age and sex. Included in the various datasets are figures for male, female, and total according to their respective age group. The included age groups are: 0 to 14, 15 to 64, 65 and Over, 80 and Over, and Total Population. This information is split between three different datasets; one dataset for male, female, and total population figures. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset displays the population figures for Canada according to age and sex. Included in the various datasets are figures for male, female, and total according to their respective age group. The included age groups are: 0 to 14, 15 to 64, 65 and Over, 80 and Over, and Total Population. This information is split between three different datasets; one dataset for male, female, and total population figures. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
Undeveloped coastal areas in Texas in the Coastal Barrier Resources System, with other protected areas of barrier islands. Data digitized by Texas General Land Office from U.S. Fish and Wildlife Service hardcopy maps produced pursuant to the Coastal Barrier Improvement Act (P.L. 101-591).
The Division of Coastal Management provides financial support to coastal communities who wish to provide public access to waterfront areas. This GIS data set provides point locations of such access sites in North Carolina. Attributes that can be taken from this layer include: the municipality or county responsible for the site (sponsor), the general size of the parking lot, the type of waterfront (urban, ocean, estuarine), the date the data were collected and the DCM contract number of the site. These data were created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS). Please visit cgia.state.nc.us for more information
This boundary file shows the break up of Texas at the county level, with detailed information. Boundary files can be important for joining with other datasets. this dataset was reprojected from a state plain.
This dataset displays the population figures for Canada according to age and sex. Included in the various datasets are figures for male, female, and total according to their respective age group. The included age groups are: 0 to 14, 15 to 64, 65 and Over, 80 and Over, and Total Population. This information is split between three different datasets; one dataset for male, female, and total population figures. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset displays the population figures for Canada according to age and sex. Included in the various datasets are figures for male, female, and total according to their respective age group. The included age groups are: 0 to 14, 15 to 64, 65 and Over, 80 and Over, and Total Population. This information is split between three different datasets; one dataset for male, female, and total population figures. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
Placement areas for dredged material (spoil) designated by the U.S. Army Corps of Engineers. Digitized by Texas General Land Office from engineering drawings of various scales provided with Corps of Engineers dredging plans.
The NC Center for Geographic Information and Analysis developed this set of point ocations of bridges maintained by the NC Department of Transportation. Data from multiple sources were integrated to produce the best approximation of North Carolina's bridge inventory. This theme does not include culverts and other structures maintained by NC DOT. These data were created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS). Please visit cgia.state.nc.us for more information
Boundaries of shipping safety fairways in the Gulf of Mexico offshore of Texas. Digitized by Texas General Land Office in AutoCAD 12 from lat/lon coordinates provided by the U.S. Army Corps of Engineers
Point locations representing marinas in Texas coastal counties. Data digitized by Texas General Land Office based on information maintained by GLO and Texas Parks and Wildlife Dept. (street addresses and verbal descriptions). For display/cartography at 1:24,000 or smaller scales. Locations are not exact Data was reprojected from a state plain.
Boundaries of the Flower Garden Banks National Marine Sanctuary in the Gulf of Mexico offshore of Texas. Digitized in AutoCAD 12 from hardcopy maps included in the "Final Environmental Impact Statement/Management Plan for the Flower Garden Banks National Marine Sanctuary" (National Oceanic and Atmospheric Administration) and georeferenced using given state plane coordinates. data was reprojected from a state plain.
Boundaries and survey information for tracts in a Navigation District. This dataset is used by the Texas General Land Office to depict Navigation District tracts for the purpose of mineral leasing and general information about surface ownership. This layer contains the arc information of the Navigation Districts
This dataset is used by the Texas General Land Office to depict Navigation District tracts for the purpose of mineral leasing and general information about surface ownership. This layer contains the polygon information of the Navigation Districts
This dataset displays the population figures for Canada according to couple families. Included in the data are population figures on couples, both married and common law. Information on couples with and without children can be found in this dataset. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset displays the population figures for Canada according to couple families. Included in the data are population figures on couples, both married and common law. Information on couples with and without children can be found in this dataset. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset displays the population figures for Canada according to couple families. Included in the data are population figures on couples, both married and common law. Information on couples with and without children can be found in this dataset. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset displays the population figures for Canada according to couple families. Included in the data are population figures on couples, both married and common law. Information on couples with and without children can be found in this dataset. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset displays the population figures for Canada according to couple families. Included in the data are population figures on couples, both married and common law. Information on couples with and without children can be found in this dataset. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset displays the population figures for Canada according to couple families. Included in the data are population figures on couples, both married and common law. Information on couples with and without children can be found in this dataset. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset displays the population figures for Canada according to couple families. Included in the data are population figures on couples, both married and common law. Information on couples with and without children can be found in this dataset. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset displays the population figures for Canada according to couple families. Included in the data are population figures on couples, both married and common law. Information on couples with and without children can be found in this dataset. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset displays the population figures for Canada according to couple families. Included in the data are population figures on couples, both married and common law. Information on couples with and without children can be found in this dataset. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset displays the population figures for Canada according to couple families. Included in the data are population figures on couples, both married and common law. Information on couples with and without children can be found in this dataset. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.
This dataset shows the locations of the Fireworks displays in the Washington DC area for the 4th of July, 2008. there is another map if you follow the link.
The point shapefile shows results of an attribute match between political donors of Bush-Cheney from 2004 (3rd Qtr 2003 to 3rd Qtr 2004)and Obama (Jan through Apr 2008). The attribute match was done based on concatenated X and Y coordinates of the geocoded political donors data for both campaigns. There is a political talk about how some of (former) Bush-Cheney supporters are now donating to Obama campaign. Some of the stories in the paper have identified a few people, however there is no comprehensive dataset/analysis that is available. We at FortiusOne decided to use the geocoded data we had for Bush-Cheney 2004 campaign (from FEC) and join it spatilly and based on attribute values with the Obama donors (FEC data again) to see whether we could identify the so-called turn-coats. Elsewhere on Finder you may find data based on spatial join and based on other attributes. Needless to say, the results obtained so far do not conclude one way or another that these are the donors.
NC Center for Geographic Information and Analysis developed the digital Community College Locations data from addresses provided by the NC Community College System. This file enables users to identify community college locations. This data covers the entire extent of North Carolina. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS). For more information go to cgia.state.nc.us/
The North Carolina Department of Environment and Natural Resources, Office of Legislative and Intergovernmental Affairs, in cooperation with the NC Center for Geographic Information and Analysis, developed the digital Conservation Tax Credit Properties data to enhance planning, siting and impact analysis for the Clean Water Management Trust Fund project. This file outlines the extent of the property boundaries donated to the state in return for a tax credit. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS). For more information go to cgia.state.nc.us/
Route Description: Head up Vasquez Road to Arapaho Road west of town. Follow the dirt road at the end of Arapaho and look for the signs. Best to Go Up chickadee and bomb down Blue Sky Distance 14.7 miles Distance PRO 22.7 miles Start Elevation 9,075 feet Max Elevation 10,085 feet Max Elevation PRO 11,025 feet
Route Description: Start on Elk Creek Road (just above Elk Meadow Trail). Up Elk Creek Road to Sunken Bridges (sign missing, use forest service sign: USFS 8862). Up Sunken Bridges to CR159. o Beginners & Sport Women turn right and go directly to Zoom. Left on CR159 to second entrance for Upper Elk Creek. Right on Upper Elk Creek (sign missing, use forest service sign: USFS1583). Upper Elk Creek loop clockwise back to CR159. Left on CR159 to Zoom. Right on Zoom and descend to Chainsaw and back to Elk Creek Road. Up Elk Creek Road to Elk Meadow Trail. Left on Elk Meadow Trail to D2. Up D2 to WTB. Up WTB to D4. Down D4 to Vasquez Road. Right on Vasquez Road. Up Vasquez Road to the Ford. Left across the Ford to Tunnel Hill. Up Tunnel Hill to Chickadee. Left on Chickadee and down to Little Vasquez. Right on Little Vasquez up to Lower Arapahoe. Left on Lower Arapahoe and down to Four Points. Left on the Long Trail at Four Points. Down the Long Trail to Turnpike to finish. Official Technical Information: * Beginner Course Length: 17.25 miles * Full Course Length: 24 miles
The North Carolina Department of Environment and Natural Resources, Division of Water Quality, in cooperation with the NC Center for Geographic Information and Analysis, developed the digital GIS Discharger Coalitions'Monitoring Sites data to help analyze the impact on water quality of the discharges of the coalition's members. This data contains sites from multiple coalitions that are monitored by the Division of Water Quality (DWQ). Each coalition contains multiple members for which they routinely collect water samples. Each member of a coalition is a permitted National Pollutant Discharge Elimination System discharger. This data identifies the point locations of the sample sites. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS). For more information go to cgia.state.nc.us/
Official Technical Information * Distance: 25.8 miles * Start Elevation: 8,756 feet * Finish Elevation: 9,080 feet * Low Point: 8,745 feet * High Point: 9,945 feet * Total Climbing: 4,011 feet
The North Carolina Wildlife Resources Commission in cooperation with the N.C. Center for Geographic Information and Analysis developed the WRC DPMTW digital data to enhance planning and management of trout streams. The GIS data set depicts the trout regulations in effect on trout streams managed under the DPMTW program as listed in the 1997-98 North Carolina Inland Fishing, Hunting & Trapping Regulations Digest (Effective July 1, 1997 to June 30, 1998). This file enables the user to identify the regulations in effect through a color coding system that reflects the foreground color of signs posted along the streams. The file also reveals whether or not the streams are located on public lands (game lands). Publically accessible lands data were derived from Federal lands files, North Carolina game lands files, and data digitized from private ownership maps. Plans are to update these maps as changes occur. These maps are provided as a guide to trout waters and users should refer to the current Regulations Digest to confirm regulations in effect. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS). For more information go to cgia.state.nc.us/
This dataset explores Earnings, average hourly for hourly paid employees, by province and territory in Canada for the years 2003 - 2007. Data is for All industries excluding unclassified enterprises. Notes: - Data include overtime. - North American Industry Classification System (NAICS), 2002. Source: Statistics Canada, CANSIM, table (for fee) 281-0030 and Catalogue no. 72-002-X. Last modified: 2008-03-31.
The NC Center for Geographic Information and Analysis, using US Geological Survey maps, developed the GIS data set, Federal Land Ownership, to delineate the boundaries of land in North Carolina that is owned and managed by the US Government. This file is updated as changes occur. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS). For more information go to cgia.state.nc.us/
This dataset contains 342 National Park System unit boundaries. Under the jurisdiction of the National Park Service (NPS), these park units are located throughout the United States (U.S.) and its territories. Almost all the parks are located north of the equator in the western hemisphere; although a couple parks are south of the equator or in the eastern hemisphere. The dataset was compiled (and edited) from a variety sources: park-based GIS databases; U.S. Geological Survey 7.5' 1:24,000 quadrangles; NPS Park Land Status Maps; legal descriptions; etc.). The boundaries are in Latitude-Longitude (Clarke 1866-NAD27) decimal degrees. The ID_ field contains the unique 4 character park code identifying each park. The NAME1_ field contains the full park name. The NAME2_ field contains information about the source, scale, and date of the boundary. The boundaries are generally the designated boundary. Inholdings may or may not be shown depending on the park. This dataset was originally created in Environmental System's Research Institute's (ESRI) ATLAS*GIS software and is currently maintained in this software. This version of the dataset was created using ESRI's ArcTools 8.0.2 Import to ShapeFile from .AGF file command, ShapeFile to Coverage command, and then Export to Interchange File. To obtain the most accurate, current boundary, users should contact the specific park. These digital park unit boundaries should not be used for any legal boundary disputes. They are intended solely for use only in identifying the general locations of national park units throughout the U.S. This dataset was compiled to assist the NPS Water Resources Division in determining the proximity of certain hydrographic features to national park units and whether national park units are contained in other management units.
Names of Populated Places in Texas. Display of city, town, and locale names in Texas based on population. Data was provided by the Texas General Land Office in 2003. Data was reprojected from a state plain.
This dataset provides a listing of art attractions in and around Loudoun County VA. Points provide information such as a website and descriptions. All descriptions and other information are from the Visit Loudoun Website.
The North Carolina Department of Environment and Natural Resources, Division of Water Quality,with funding from the NC Clean Water Management Trust Fund and in cooperation with the NC Center for Geographic Information and Analysis, developed the digital fish community sampling data to enhance water quality assessment & plan review of Trust Fund project applications. This file identifies points where fish community sampling has been done. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS). For more information go to cgia.state.nc.us/
This dataset provides a listing of farms and markets in and around Loudoun County VA. Points provide information such as a website and descriptions. All descriptions and other information are from the Visit Loudoun Website.
This dataset provides a listing of Golf Courses in and around Loudoun County VA. Points provide information such as a website and descriptions. All descriptions and other information are from the Visit Loudoun Website.
This dataset provides a listing of places that offer activities related to horses and horse riding in and around Loudoun County VA. Points provide information such as a website and descriptions. All description and other information are from the Visit Loudoun Website.
This dataset displays the inmate populations for all the Federal Prisons throughout the United States on 7.2.08. This weekly Population Report can be found on the Bureau of Prisons website at bop.gov. These facilities are positioned by their lat/lon and this dataset is updated on a weekly basis.
This dataset provides a listing of hotels and other accommodations in and around Leesburg VA. It does not necessarily include all accommodations in the area. Points provide information such as a website and description as well as the amenities. All description and other information are from the Visit Loudoun Website.
This dataset provides a listing of must see attractions in and around Loudoun County VA. Points provide information such as a website and descriptions. All descriptions and other information are from the Visit Loudoun Website.
This dataset provides a listing of recreational activities in and around Loudoun County VA. Points provide information such as a website and descriptions. All descriptions and other information are from the Visit Loudoun Website.
This dataset explores Earnings, average weekly, by province and territory in Canada for 2003-2007. This data is for All industries excluding unclassified enterprises Notes: - Data include overtime. - North American Industry Classification System (NAICS), 2002. Source: Statistics Canada, CANSIM, table (for fee) 281-0044 and Catalogue no. 72-002-X. Last modified: 2008-03-31.
This dataset provides a listing of restaurants and other food venues in and around Leesburg VA. It does not necessarily include all food venues in the area. Points provide information such as a website and description of the venue.
This dataset explores Education price index, by province in Canada for 1999 - 2003. This dataset is for elementary and secondary eduction. * 1992 = 100 for the purposes of this dataset. Source: Statistics Canada, CANSIM tables (for fee) 478-0013 and 326-0002, and Catalogue no. 81-229-X. Last Modified: 2007-06-19.
This dataset provides a listing of spas in and around Loudoun County VA. Points provide information such as a website and descriptions. All descriptions and other information are from the Visit Loudoun Website.
This dataset provides a listing of must see town in and around Loudoun County VA. Points provide information such as a website and descriptions. All description and other information are from the Visit Loudoun Website.
This dataset explores Employed labour force by mode of transportation to work by province and territory fr 2001. Source: Statistics Canada, Census of Population. Last modified: 2004-09-01.
Abstract: A representation of the administrative units of the Oregon Water Resources Dept. Purpose: To represent the OWRD administrative basins as defined by Oregon Revised Statutes (ORS 536.700). They are not designed for use in hydrologic analysis or other similar analyses even though they may correspond with other drainage delineations. Supplemental_Information: Note that the documentation of the procedures used to create this data set were compiled long after the original effort and by persons not involved in the original project. Following the OWRD Drainage Basin map series (see first cross reference entry below), OWRD GIS staff used corresponding line work (arcs), where applicable, from a 1:24,000-scale fourth-field hydrologic units theme of the state of Oregon. In cases where there werent corresponding lines, the OWRD drainage basin maps were photocopied and enlarged to 24,000-scale and the lines transferred by hand to U.S.G.S. 24,000-scale quadrangle maps. From there they were digitized into the final theme. Arc were snapped together to form polygons representing the basins and attributed with the OWRD basin name (long & short names) and OWRD basin number.
This dataset provides a listing of vineyards in and around Loudoun County VA. Points provide information such as a website and wine descriptions. All description and other information are from the Visit Loudoun Website.
This is a region dataset delineating the areas of offshore Louisiana and Texas having Regional Response Team VI (RRT 6) pre-approval for the use of dispersants to break up an oil spill. This area is defined as that area of no less than 10 meters depth and at least three nautical miles from the nearest shoreline, out to the limit of the Exclusive Economic Zone. Three nautical miles from the nearest shoreline for Louisiana corresponds to the state's territorial limits. This data set is bounded on the west by the Galveston Marine Safety Office zone and on the east by the Mobile Marine Safety Office zone. The attributes of the boundary arcs indicate the source of each section of the boundary.
Abstract: The beach access points theme was created to display the location of public beach access along the Oregon Coast. Boat ramp locations were added to the dataset to allow users to view the location of boat ramps along the Columbia River and the Willamete River north of the Oregon City Dam. Purpose: The theme allows the user to locate and extract information on various beach access locations. The information includes approximate geographic location and attributes defining the development level of the site.
Railroad lines in Texas. Arcs extracted from Texas Dept. of Transportation county map series coverages appended by Texas General Land Office. Some arcs may have been spatially displaced to facilitate cartographic display at smaller scales. data was reprojected from a state plain.
This dataset displays information regarding the language spoken most often at home. This data is available on the Census Division level, and is available from the 2006 Canadian Census. This data was obtained through: Statistics Canada. This data refers to the language spoken most often at home by the individual at the time of the census. Other languages spoken at home on a regular basis were also collected. Included are population figures for the following attributes: Total Population, English, French, Non-Official, English and French, English and Non-Official Language, French and Non-Official Language, and English French and Non-Official Speaking. This data is also broken down by Age Group.
This dataset displays information regarding the language spoken most often at home. This data is available on the Census Division level, and is available from the 2006 Canadian Census. This data was obtained through: Statistics Canada. This data refers to the language spoken most often at home by the individual at the time of the census. Other languages spoken at home on a regular basis were also collected. Included are population figures for the following attributes: Total Population, English, French, Non-Official, English and French, English and Non-Official Language, French and Non-Official Language, and English French and Non-Official Speaking. This data is also broken down by Age Group.
This dataset displays information regarding the language spoken most often at home. This data is available on the Census Division level, and is available from the 2006 Canadian Census. This data was obtained through: Statistics Canada. This data refers to the language spoken most often at home by the individual at the time of the census. Other languages spoken at home on a regular basis were also collected. Included are population figures for the following attributes: Total Population, English, French, Non-Official, English and French, English and Non-Official Language, French and Non-Official Language, and English French and Non-Official Speaking. This data is also broken down by Age Group.
This dataset displays information regarding the language spoken most often at home. This data is available on the Census Division level, and is available from the 2006 Canadian Census. This data was obtained through: Statistics Canada. This data refers to the language spoken most often at home by the individual at the time of the census. Other languages spoken at home on a regular basis were also collected. Included are population figures for the following attributes: Total Population, English, French, Non-Official, English and French, English and Non-Official Language, French and Non-Official Language, and English French and Non-Official Speaking. This data is also broken down by Age Group.
This dataset displays information regarding the language spoken most often at home. This data is available on the Census Division level, and is available from the 2006 Canadian Census. This data was obtained through: Statistics Canada. This data refers to the language spoken most often at home by the individual at the time of the census. Other languages spoken at home on a regular basis were also collected. Included are population figures for the following attributes: Total Population, English, French, Non-Official, English and French, English and Non-Official Language, French and Non-Official Language, and English French and Non-Official Speaking. This data is also broken down by Age Group.
This dataset displays information regarding the language spoken most often at home. This data is available on the Census Division level, and is available from the 2006 Canadian Census. This data was obtained through: Statistics Canada. This data refers to the language spoken most often at home by the individual at the time of the census. Other languages spoken at home on a regular basis were also collected. Included are population figures for the following attributes: Total Population, English, French, Non-Official, English and French, English and Non-Official Language, French and Non-Official Language, and English French and Non-Official Speaking. This data is also broken down by Age Group.
This dataset displays information regarding the language spoken most often at home. This data is available on the Census Division level, and is available from the 2006 Canadian Census. This data was obtained through: Statistics Canada. This data refers to the language spoken most often at home by the individual at the time of the census. Other languages spoken at home on a regular basis were also collected. Included are population figures for the following attributes: Total Population, English, French, Non-Official, English and French, English and Non-Official Language, French and Non-Official Language, and English French and Non-Official Speaking. This data is also broken down by Age Group.
This dataset displays information regarding the language spoken most often at home. This data is available on the Census Division level, and is available from the 2006 Canadian Census. This data was obtained through: Statistics Canada. This data refers to the language spoken most often at home by the individual at the time of the census. Other languages spoken at home on a regular basis were also collected. Included are population figures for the following attributes: Total Population, English, French, Non-Official, English and French, English and Non-Official Language, French and Non-Official Language, and English French and Non-Official Speaking. This data is also broken down by Age Group.
This dataset displays information regarding the language spoken most often at home. This data is available on the Census Division level, and is available from the 2006 Canadian Census. This data was obtained through: Statistics Canada. This data refers to the language spoken most often at home by the individual at the time of the census. Other languages spoken at home on a regular basis were also collected. Included are population figures for the following attributes: Total Population, English, French, Non-Official, English and French, English and Non-Official Language, French and Non-Official Language, and English French and Non-Official Speaking. This data is also broken down by Age Group.
This dataset displays information regarding the language spoken most often at home. This data is available on the Census Division level, and is available from the 2006 Canadian Census. This data was obtained through: Statistics Canada. This data refers to the language spoken most often at home by the individual at the time of the census. Other languages spoken at home on a regular basis were also collected. Included are population figures for the following attributes: Total Population, English, French, Non-Official, English and French, English and Non-Official Language, French and Non-Official Language, and English French and Non-Official Speaking. This data is also broken down by Age Group.
Polygonal areas representing colonial waterbird (gulls, terns, wading birds) rookeries in Texas coastal counties and bays. Defined and digitized by Texas General Land Office personnel in cooperation with representatives of Texas Parks and Wildlife Dept., U.S. Fish and Wildlife Service, and the Texas Colonial Waterbird Society
Describes relevant information about public fireworks shows on the 4th of July.
Describes relevant information about fireworks in the new york metro area.
The point shape file shows locations of Bush Cheney campaign donors in Wash. D.C. during the 2004 election campaign. The campaign finance data was geocoded from the campaign finance reports filed by Bush-Cheney presidential campaign committee with the Federal Election Commission between 4th Qtr of 2003 and 3rd qrt of 2004. The point data shows only those geocoded records that had geocoding score of 90 and above and the type of locations where either "Address Point" or "Street Address". All those records with less than 90 score and/or those with locations indicating zipcode centroids or City/State centroids were not included. Elsewhere on Finder! you may find other campaign finace data including Obama, Clinton etc.
The point shape file shows locations of Obama campaign donors in Wash. D.C. during the 2008 election campaign. The campaign finance data was geocoded from the monthly campaign finance reports filed by Obama presidential campaign committee between Jan and May 2008, with the Federal Election Commission. The point data shows only those geocoded records that had geocoding score of 90 and above and the type of locations where either "Address Point" or "Street Address". All those records with less than 90 score and/or those with locations indicating zipcode centroids or City/State centroids were not included. Elsewhere on Finder! you may find other campaign finance data including Bush-Cheney, Clinton etc. Important to note that if a donor has multiple records, these were merged into single record and the total sum for each donor was computed. Notice: Reports and statements filed by political committees may be inspected and copied by anyone. The names and addresses of individual contributors, however, may not be sold or used for any commercial purpose or to solicit any type of contribution or donation, such as political or charitable contributions. 2 U.S.C. 438(a)(4); 11 CFR 104.15. This restriction applies to Federal reports and statements. Any person who violates this restriction is subject to the penalties of 2 U.S.C. 437g.
The point shape file shows locations of Bush Cheney campaign donors in New York city during the 2004 election campaign. The campaign finance data was geocoded from the campaign finance reports filed by Bush-Cheney presidential campaign committee with the Federal Election Commission between 4th Qtr of 2003 and 3rd qrt of 2004. The point data shows only those geocoded records that had geocoding score of 90 and above and the type of locations where either "Address Point" or "Street Address". All those records with less than 90 score and/or those with locations indicating zipcode centroids or City/State centroids were not included. Elsewhere on Finder! you may find other campaign finace data including Obama, Clinton etc. Important to note that if a donor has multiple records, these were merged into single record and the total sum for each donor was computed. Notice: Reports and statements filed by political committees may be inspected and copied by anyone. The names and addresses of individual contributors, however, may not be sold or used for any commercial purpose or to solicit any type of contribution or donation, such as political or charitable contributions. 2 U.S.C. 438(a)(4); 11 CFR 104.15. This restriction applies to Federal reports and statements. Any person who violates this restriction is subject to the penalties of 2 U.S.C. 437g.
The point shape file shows locations of Obama campaign donors in New York city during the 2008 election campaign. The campaign finance data was geocoded from the campaign finance reports filed by Obama presidential campaign committee with the Federal Election Commission between Jan, 2008 to May 2008. The point data shows only those geocoded records that had geocoding score of 90 and above and the type of locations where either "Address Point" or "Street Address". All those records with less than 90 score and/or those with locations indicating zipcode centroids or City/State centroids were not included. Elsewhere on Finder! you may find other campaign finace data including Obama, Clinton etc. Important to note that if a donor has multiple records, these were merged into single record and the total sum for each donor was computed. Notice: Reports and statements filed by political committees may be inspected and copied by anyone. The names and addresses of individual contributors, however, may not be sold or used for any commercial purpose or to solicit any type of contribution or donation, such as political or charitable contributions. 2 U.S.C. 438(a)(4); 11 CFR 104.15. This restriction applies to Federal reports and statements. Any person who violates this restriction is subject to the penalties of 2 U.S.C. 437g.
The point shape file shows the results of attribute join between Bush-Cheney donors from 2004 and Obama donors in 2008 (Jan to Apr 2008).The attribute used for "join" operation is concatenated x and y coordinates of geocoded donor records of both campaigns. Note that only those records with geocoding score of 90 plus and with the geocoding attribute of "Street Address" or "Address Points" were used. Since there can be more than one record per donor, multiple records were aggregated to single record and donations added together for such multiple record. All those with geocoding score of less than 90 and geocoding attribute of "Zipcode" or "City-State" centroid were dropped. Notice: Reports and statements filed by political committees may be inspected and copied by anyone. The names and addresses of individual contributors, however, may not be sold or used for any commercial purpose or to solicit any type of contribution or donation, such as political or charitable contributions. 2 U.S.C. 438(a)(4); 11 CFR 104.15. This restriction applies to Federal reports and statements. Any person who violates this restriction is subject to the penalties of 2 U.S.C. 437g. Campaign finance reports filed by Bush-Cheney campaign with the Federal Election Commission (FEC)
The point shape file shows the results of attribute join between Bush-Cheney donors from 2004 and Obama donors in 2008 (Jan to Apr 2008).The attribute used for "join" operation is concatenated x and y coordinates of geocoded donor records of both campaigns. Note that only those records with geocoding score of 90 plus and with the geocoding attribute of "Street Address" or "Address Points" were used. Since there can be more than one record per donor, multiple records were aggregated to single record and donations added together for such multiple record. All those with geocoding score of less than 90 and geocoding attribute of "Zipcode" or "City-State" centroid were dropped. Notice: Reports and statements filed by political committees may be inspected and copied by anyone. The names and addresses of individual contributors, however, may not be sold or used for any commercial purpose or to solicit any type of contribution or donation, such as political or charitable contributions. 2 U.S.C. 438(a)(4); 11 CFR 104.15. This restriction applies to Federal reports and statements. Any person who violates this restriction is subject to the penalties of 2 U.S.C. 437g.
The point shapefile shows the results of spatial join between Bush-Cheney donors with Obama donors. Bush-Cheney donors data is based on 2004 Campaign finance reports filed by Bush-Cheney campaign over the four quarters (4th qrt 2003 to 3rd qtr 2004). In case of such join, the results shows that for each of the Bush-Cheney donors there are 'N' number of obama donors where N is 1 or more than 1 and also the total amount donated by these N Obama donors. Note that for both Bush-Cheney and Obama donors, only those with geocoding score of 90 plus and with the location attribute of "Address Point", "Street Address" were chosen, also in case of multiple records of a donor, these were merged into a single record with aggregated amount for the donation. Notice: Reports and statements filed by political committees may be inspected and copied by anyone. The names and addresses of individual contributors, however, may not be sold or used for any commercial purpose or to solicit any type of contribution or donation, such as political or charitable contributions. 2 U.S.C. 438(a)(4); 11 CFR 104.15. This restriction applies to Federal reports and statements. Any person who violates this restriction is subject to the penalties of 2 U.S.C. 437g. Campaign finance reports filed by Bush-Cheney campaign with the Federal Election Commission (FEC) For details please see: http://www.fec.gov/pages/brochures/sale_and_use_brochure.pdf
The point shapefile shows the results of spatial join between Bush-Cheney donors with Obama donors. Bush-Cheney donors data is based on 2004 Campaign finance reports filed by Bush-Cheney campaign over the four quarters (4th qrt 2003 to 3rd qtr 2004). In case of such join, the results shows that for each of the Bush-Cheney donors there are 'N' number of obama donors where N is 1 or more than 1 and also the total amount donated by these N Obama donors. Note that for both Bush-Cheney and Obama donors, only those with geocoding score of 90 plus and with the location attribute of "Address Point", "Street Address" were chosen, also in case of multiple records of a donor, these were merged into a single record with aggregated amount for the donation. Notice: Reports and statements filed by political committees may be inspected and copied by anyone. The names and addresses of individual contributors, however, may not be sold or used for any commercial purpose or to solicit any type of contribution or donation, such as political or charitable contributions. 2 U.S.C. 438(a)(4); 11 CFR 104.15. This restriction applies to Federal reports and statements. Any person who violates this restriction is subject to the penalties of 2 U.S.C. 437g. For details please see: http://www.fec.gov/pages/brochures/sale_and_use_brochure.pdf
Location and classification of the schools in Swaziland, Africa
The point shapefile shows the results of spatial join between locations of Obama donors and Bush-Cheney donors in the NY City. You will find elsewhere on Finder! data showing the spatial join between Bush-Cheney and Obama donors. The number of records in each of these is limited by the number of records of the file with which the other one is joined. The donor locations shapefiles were geocoded from the Campaign finance reports filed by Obama and Bush-Cheney campaigns respectively. Only those reocrds with geocoding score of 90 plus and with the location attribute of "Street Address" and "Street Address point" are selected. Duplicate records are deleted in terms of first file with which the spatial join is using the second file. For eg., in this shape file, the number of duplicate records with respect to Obama donors are deleted. Important Note: Notice: Reports and statements filed by political committees may be inspected and copied by anyone. The names and addresses of individual contributors, however, may not be sold or used for any commercial purpose or to solicit any type of contribution or donation, such as political or charitable contributions. 2 U.S.C. 438(a)(4); 11 CFR 104.15. This restriction applies to Federal reports and statements. Any person who violates this restriction is subject to the penalties of 2 U.S.C. 437g.
The point shapefile shows the results of spatial join between locations of Obama donors and Bush-Cheney donors in the NY City. You will find elsewhere on Finder! data showing the spatial join between Bush-Cheney and Obama donors. The number of records in each of these is limited by the number of records of the file with which the other one is joined. The donor locations shapefiles were geocoded from the Campaign finance reports filed by Obama and Bush-Cheney campaigns respectively. Only those reocrds with geocoding score of 90 plus and with the location attribute of "Street Address" and "Street Address point" are selected. Duplicate records are deleted in terms of first file with which the spatial join is using the second file. For eg., in this shape file, the number of duplicate records with respect to Obama donors are deleted. Also note that in this spatial join, only those records that has spatial distance of zero were included.
The poly shapefile shows results of the individual donations to Obama campaign aggregated at county level in Jan 2008. The data for individual donations came from the Jan'08 campaign finance reports filed by Obama campaign in Feb, 2008. Also included are the number of donations (count of donations) in the month of Jan, 2008. Elsewhere on Finder! you may search for Obama camapign donations by county for the months of February, March, April and May, 2008.
The poly shapefile shows results of the individual donations to Obama campaign aggregated at county level in Jan 2008. The data for individual donations came from the Feb'08 campaign finance reports filed by Obama campaign on Mar 20, 2008. Also included are the number of donations (count of donations) in the month of Feb, 2008. Elsewhere on Finder! you may search for Obama camapign donations by county for the months of January, March, April and May, 2008.
The poly shapefile shows results of the individual donations to Obama campaign aggregated at county level in Mar2008. The data for individual donations came from the Mar'08 campaign finance reports filed by Obama campaign on 20 Apr, 2008. Also included are the number of donations (count of donations) in the month of Mar, 2008. Elsewhere on Finder! you may search for Obama camapign donations by county for the months of January, February, April and May, 2008.
The poly shapefile shows results of the individual donations to Obama campaign aggregated at county level in Apr2008. The data for individual donations came from the Apr'08 campaign finance reports filed by Obama campaign on May 20, 2008. Also included are the number of donations (count of donations) in the month of Apr, 2008. Elsewhere on Finder! you may search for Obama camapign donations by county for the months of January, February, March, and May, 2008.
The poly shapefile shows results of the individual donations to Obama campaign aggregated at county level in May2008. The data for individual donations came from the May'08 campaign finance reports filed by Obama campaign on Jun 20, 2008. Also included are the number of donations (count of donations) in the month of May, 2008. Elsewhere on Finder! you may search for Obama camapign donations by county for the months of January, February, March, and April, 2008.
This coverage represents year MODIS fire detections for the 7 day period specified for the geographic area covering the conterminous United States, Alaska, Hawaii, Canada and northern Mexico. The detections are obtained using both TERRA MODIS and AQUA MODIS data are collected and processed as a cooperative effort between the USDA Forest Service Remote Sensing Application Center, NASA-Goddard Space Flight Center and the University of Maryland. These fire detection data are collected for the USDA Forest Service MODIS Active Fire Mapping Program (http://activefiremaps.fs.fed.us). These data are intended to provide a synoptic view of active fires for the past and present over the specified time period. These data are collected at a spatial resolution of 1 kilometer and therefore are only intended for geographic display and analysis at the national and regional levels. No responsibility is assumed by the USDA Forest Service in the use of these data.
This datasets displays the locations of all recorded earthquakes of a magnitude of 1 or greater around the world from the period of 6.30.08 to 7.7.08. The findings are from the US Geological Survey (USGS). Earthquake information is extracted from a merged catalog of earthquakes located by the USGS and contributing networks. Earthquakes will be broadcast within a few minutes for California events and within 30-minutes for world-wide events.
This dataset displays the population statistics regarding the mother tongue of the population at the time of the 2006 Census of Canada. This data was collected from Statistics Canada, and is available on the census division level. Due to the size of the files, this dataset has been broken down into census divisions according to each Province or Territory. Mother tongue refers to the first language learned at home in childhood and still understood by the individual at the time of the census.
This dataset displays the population statistics regarding the mother tongue of the population at the time of the 2006 Census of Canada. This data was collected from Statistics Canada, and is available on the census division level. Due to the size of the files, this dataset has been broken down into census divisions according to each Province or Territory. Mother tongue refers to the first language learned at home in childhood and still understood by the individual at the time of the census.
The North Carolina Department of Environment, Health, and Natural Resources, Division of Land Resources, NC Geological Survey, in cooperation with the North Carolina Center for Geographic Information and Analysis, developed the GIS data set version of the Geology of North Carolina. The data represents the digital equivalent of the official State Geology map (1:500,000-scale), but was digitized from (1:250,000-scale) base maps. The geologic formation id is the only attribute present. There are two additional files which accompany this layer, dikes and faults. These should be used together with the Geology formations layer. All three files come together. (Refer to the cross references section for more detail on the dikes and faults). This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS). To learn more about this data go to cgia.state.nc.us
This dataset displays the population statistics regarding the mother tongue of the population at the time of the 2006 Census of Canada. This data was collected from Statistics Canada, and is available on the census division level. Due to the size of the files, this dataset has been broken down into census divisions according to each Province or Territory. Mother tongue refers to the first language learned at home in childhood and still understood by the individual at the time of the census.
Sanctuaries managed by the National Audubon Society or local Audubon Society chapters in Texas coastal bays. Digitized by Texas General Land Office from lease documents. Most of these areas are state-owned tracts leased from the Texas General Land Office. Also includes representation of the Sabal Palm Sanctuary owned by the National Audubon Society.
This dataset explores Farm census family by size and province for 1996 in Canada. 1. Only unincorporated farms are included because incorporated farms are legal entities. Source: Statistics Canada, Censuses of Agriculture and Population. Last modified: 2004-09-29.
Points representing occurrence/distribution of animals, plants and/or plant communities in areas adjacent to coastal bays and the Gulf of Mexico in Texas. Defined and digitized by Texas General Land Office personnel based on consultation with representatives of Texas Parks and Wildlife Dept., General Land Office, U.S. Fish and Wildlife Service, and more than 30 other public agencies, academic institutions, and private groups and citizens. Data are spatially inexact and are subject to revision and may not accurately depict present occurrence of species or habitats
This dataset displays the population statistics regarding the mother tongue of the population at the time of the 2006 Census of Canada. This data was collected from Statistics Canada, and is available on the census division level. Due to the size of the files, this dataset has been broken down into census divisions according to each Province or Territory. Mother tongue refers to the first language learned at home in childhood and still understood by the individual at the time of the census.
The North Carolina Department of Environment, Health, and Natural Resources, Division of Land Resources, NC Geological Survey, in cooperation with the North Carolina Center for Geographic Information and Analysis, developed the GIS data set version of the Geology of North Carolina. The data represents the digital equivalent of the official State Geology map (1:500,000-scale), but was digitized from (1:250,000-scale) base maps. This file contains the line attributes which identify dikes in North Carolina. The geologic formation id is the only attribute present. There are two additional files which accompany this layer, formations and faults. These should be used together with the dikes layer. All three files come together. (Refer to the cross references section for more detail on the formations and faults).
This dataset displays the population statistics regarding the mother tongue of the population at the time of the 2006 Census of Canada. This data was collected from Statistics Canada, and is available on the census division level. Due to the size of the files, this dataset has been broken down into census divisions according to each Province or Territory. Mother tongue refers to the first language learned at home in childhood and still understood by the individual at the time of the census.
This dataset displays the population statistics regarding the mother tongue of the population at the time of the 2006 Census of Canada. This data was collected from Statistics Canada, and is available on the census division level. Due to the size of the files, this dataset has been broken down into census divisions according to each Province or Territory. Mother tongue refers to the first language learned at home in childhood and still understood by the individual at the time of the census.
This dataset displays the population statistics regarding the mother tongue of the population at the time of the 2006 Census of Canada. This data was collected from Statistics Canada, and is available on the census division level. Due to the size of the files, this dataset has been broken down into census divisions according to each Province or Territory. Mother tongue refers to the first language learned at home in childhood and still understood by the individual at the time of the census.
This dataset displays the population statistics regarding the mother tongue of the population at the time of the 2006 Census of Canada. This data was collected from Statistics Canada, and is available on the census division level. Due to the size of the files, this dataset has been broken down into census divisions according to each Province or Territory. Mother tongue refers to the first language learned at home in childhood and still understood by the individual at the time of the census.
This dataset displays the population statistics regarding the mother tongue of the population at the time of the 2006 Census of Canada. This data was collected from Statistics Canada, and is available on the census division level. Due to the size of the files, this dataset has been broken down into census divisions according to each Province or Territory. Mother tongue refers to the first language learned at home in childhood and still understood by the individual at the time of the census.
The North Carolina Department of Environment, Health, and Natural Resources, Division of Land Resources, NC Geological Survey, in cooperation with the North Carolina Center for Geographic Information and Analysis, developed the GIS data set version of the Geology of North Carolina. The data represents the digital equivalent of the official State Geology map (1:500,000-scale), but was digitized from (1:250,000-scale) base maps. This file contains the line attributes which identify faults in North Carolina. The geologic formation id is the only attribute present. There are two additional files which accompany this layer, formations and dikes. These should be used together with the faults layer. All three files come together. (Refer to the cross references section for more detail on the formations and dikes). This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS). For more information go to cgia.state.nc.us
This dataset displays the population statistics regarding the mother tongue of the population at the time of the 2006 Census of Canada. This data was collected from Statistics Canada, and is available on the census division level. Due to the size of the files, this dataset has been broken down into census divisions according to each Province or Territory. Mother tongue refers to the first language learned at home in childhood and still understood by the individual at the time of the census.
This dataset explores Farm census family by size, by province (2001 Censuses of Agriculture and Population) for 2001. 1. Only unincorporated farms are included because incorporated farms are legal entities. Source: Statistics Canada, Censuses of Agriculture and Population. Last modified: 2004-09-29.
This dataset explores Farm census family by size, by province by examining the percent change in size from 1996 to 2001. Other datasets about farm census family size can also be found on Finder! 1. Only unincorporated farms are included because incorporated farms are legal entities. Source: Statistics Canada, Censuses of Agriculture and Population. Last modified: 2004-09-29.
The NC Center for Geographic Information and Analysis developed the GIS data set, County Boundaries, as mapped by the US Geological Survey-Digital Line Graph Program to facilitate planning, siting and impact analysis in the 100 individual counties of North Carolina. This file enables the user to make various county-level determinations when used in conjunction with other data layers. This coverage does not include the shoreline but contains straight-lined boundaries of all of North Carolina's Counties. Another coverage exists which does include the shoreline. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS). For more information about this data got to cgia.state.nc.us
The NC Center for Geographic Information and Analysis, using US Department of Commerce, Bureau of the Census data, developed the digital 1970 Census Boundaries/Population data file containing easily accessible population and housing counts for the state of North Carolina. This file was developed to enable a user to see population and housing statistics from the 1970 Census as a way of track population and housing counts over time. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS). For more information about the data please go to cgia.state.nc.us
This dataset explores Farm operators by education level and gender in Canada for 2001. This dataset looks at all farm operators. 1. Refers to the highest grade or year of elementary or secondary (high) school attended, or to the highest university degree completed or college or trade diploma or certificate completed. 2. Includes completed postsecondary education, trades certificate or diploma, and college certificate or diploma. Source: Statistics Canada, Censuses of Agriculture and Population. Last modified: 2004-09-29.
This dataset explores Farm operators by education, by province (2001 Censuses of Agriculture and Population) for persons who's primary occupation is agriculture. This dataset breaks the data down by gender as well. 1. Refers to the highest grade or year of elementary or secondary (high) school attended, or to the highest university degree completed or college or trade diploma or certificate completed. 2. Includes completed postsecondary education, trades certificate or diploma, and college certificate or diploma. Source: Statistics Canada, Censuses of Agriculture and Population. Last modified: 2004-09-29.
This dataset explores Farm operators by education, by province (2001 Censuses of Agriculture and Population) for persons who's primary occupation is not agriculture. This dataset breaks the data down by gender as well. 1. Refers to the highest grade or year of elementary or secondary (high) school attended, or to the highest university degree completed or college or trade diploma or certificate completed. 2. Includes completed postsecondary education, trades certificate or diploma, and college certificate or diploma. Source: Statistics Canada, Censuses of Agriculture and Population. Last modified: 2004-09-29.
This dataset displays statistics on the immigrant status and the period of immigration for the Canadian population. These figures are derived from the Canadian Census of 2006. This information is provided by Statistics Canada, and is shown on the Census Division level. Due to the size of this dataset, it has been broken up on the province/territory level. Information is given for the following categories: total population, non-immigrant population, immigrant population, immigrated before 1991, immigrated between 1991 and 1995, immigrated between 1996 and 2000, immigrated between 2001 and 2006. The total population count includes the non-immigrant population, the immigrant population and the non-permanent resident population. The non-permanent population is not shown separately in this table. Non-immigrants are persons who are Canadian citizens by birth. Although most Canadian citizens by birth were born in Canada, a small number were born outside Canada to Canadian Parents.
This dataset displays statistics on the immigrant status and the period of immigration for the Canadian population. These figures are derived from the Canadian Census of 2006. This information is provided by Statistics Canada, and is shown on the Census Division level. Due to the size of this dataset, it has been broken up on the province/territory level. Information is given for the following categories: total population, non-immigrant population, immigrant population, immigrated before 1991, immigrated between 1991 and 1995, immigrated between 1996 and 2000, immigrated between 2001 and 2006. The total population count includes the non-immigrant population, the immigrant population and the non-permanent resident population. The non-permanent population is not shown separately in this table. Non-immigrants are persons who are Canadian citizens by birth. Although most Canadian citizens by birth were born in Canada, a small number were born outside Canada to Canadian Parents.
This dataset displays statistics on the immigrant status and the period of immigration for the Canadian population. These figures are derived from the Canadian Census of 2006. This information is provided by Statistics Canada, and is shown on the Census Division level. Due to the size of this dataset, it has been broken up on the province/territory level. Information is given for the following categories: total population, non-immigrant population, immigrant population, immigrated before 1991, immigrated between 1991 and 1995, immigrated between 1996 and 2000, immigrated between 2001 and 2006. The total population count includes the non-immigrant population, the immigrant population and the non-permanent resident population. The non-permanent population is not shown separately in this table. Non-immigrants are persons who are Canadian citizens by birth. Although most Canadian citizens by birth were born in Canada, a small number were born outside Canada to Canadian Parents.
This dataset displays statistics on the immigrant status and the period of immigration for the Canadian population. These figures are derived from the Canadian Census of 2006. This information is provided by Statistics Canada, and is shown on the Census Division level. Due to the size of this dataset, it has been broken up on the province/territory level. Information is given for the following categories: total population, non-immigrant population, immigrant population, immigrated before 1991, immigrated between 1991 and 1995, immigrated between 1996 and 2000, immigrated between 2001 and 2006. The total population count includes the non-immigrant population, the immigrant population and the non-permanent resident population. The non-permanent population is not shown separately in this table. Non-immigrants are persons who are Canadian citizens by birth. Although most Canadian citizens by birth were born in Canada, a small number were born outside Canada to Canadian Parents.
This dataset displays statistics on the immigrant status and the period of immigration for the Canadian population. These figures are derived from the Canadian Census of 2006. This information is provided by Statistics Canada, and is shown on the Census Division level. Due to the size of this dataset, it has been broken up on the province/territory level. Information is given for the following categories: total population, non-immigrant population, immigrant population, immigrated before 1991, immigrated between 1991 and 1995, immigrated between 1996 and 2000, immigrated between 2001 and 2006. The total population count includes the non-immigrant population, the immigrant population and the non-permanent resident population. The non-permanent population is not shown separately in this table. Non-immigrants are persons who are Canadian citizens by birth. Although most Canadian citizens by birth were born in Canada, a small number were born outside Canada to Canadian Parents.
This data represents the Oregon City Limit boundaries. Each city limit is defined as a continuous area within the statutory boundary of an incorporated city, which is the smallest subdivision of an annexed area. It is represented as spatial data (polygon with label point). The use of city limits information was identified as a need for general planning purposes within ODOT. It was determined that this would be a frequently used data set that needed to be both spatially referenced and attributed in a GIS base layer. The decision was made to create a statewide coverage of the boundary outlining the city limits for each of the 242 incorporated cities. An incorporated city may have multiple areas that are not contiguous. Each such area is represented separately with its own polygon. The area of the city limits will be calculated from the polygons created. For assessment and taxation purposes, the boundary change process has two key dates. One is the effective date of the boundary change. The other is the filing deadline with the Department of Revenue. While both of these dates relate to boundary changes, they operate independently. The two key dates are March 31 and July 1. These dates help determine the property affected by a boundary change. The district must file its boundary change documents in final approved form to the Department of Revenue Cadastral Information Systems Unit by March 31 and obtain a notice of approval. In order for a district to extend its tax rate to an annexed territory, the districts annexation must be effective on or before July 1.
This dataset displays statistics on the immigrant status and the period of immigration for the Canadian population. These figures are derived from the Canadian Census of 2006. This information is provided by Statistics Canada, and is shown on the Census Division level. Due to the size of this dataset, it has been broken up on the province/territory level. Information is given for the following categories: total population, non-immigrant population, immigrant population, immigrated before 1991, immigrated between 1991 and 1995, immigrated between 1996 and 2000, immigrated between 2001 and 2006. The total population count includes the non-immigrant population, the immigrant population and the non-permanent resident population. The non-permanent population is not shown separately in this table. Non-immigrants are persons who are Canadian citizens by birth. Although most Canadian citizens by birth were born in Canada, a small number were born outside Canada to Canadian Parents.
This dataset displays statistics on the immigrant status and the period of immigration for the Canadian population. These figures are derived from the Canadian Census of 2006. This information is provided by Statistics Canada, and is shown on the Census Division level. Due to the size of this dataset, it has been broken up on the province/territory level. Information is given for the following categories: total population, non-immigrant population, immigrant population, immigrated before 1991, immigrated between 1991 and 1995, immigrated between 1996 and 2000, immigrated between 2001 and 2006. The total population count includes the non-immigrant population, the immigrant population and the non-permanent resident population. The non-permanent population is not shown separately in this table. Non-immigrants are persons who are Canadian citizens by birth. Although most Canadian citizens by birth were born in Canada, a small number were born outside Canada to Canadian Parents.
This dataset displays statistics on the immigrant status and the period of immigration for the Canadian population. These figures are derived from the Canadian Census of 2006. This information is provided by Statistics Canada, and is shown on the Census Division level. Due to the size of this dataset, it has been broken up on the province/territory level. Information is given for the following categories: total population, non-immigrant population, immigrant population, immigrated before 1991, immigrated between 1991 and 1995, immigrated between 1996 and 2000, immigrated between 2001 and 2006. The total population count includes the non-immigrant population, the immigrant population and the non-permanent resident population. The non-permanent population is not shown separately in this table. Non-immigrants are persons who are Canadian citizens by birth. Although most Canadian citizens by birth were born in Canada, a small number were born outside Canada to Canadian Parents.
Boundaries of tracts in submerged state-owned bays, estuaries, and the nearshore Gulf of Mexico nominated for the upcoming sealed bid lease sale
This dataset displays statistics on the immigrant status and the period of immigration for the Canadian population. These figures are derived from the Canadian Census of 2006. This information is provided by Statistics Canada, and is shown on the Census Division level. Due to the size of this dataset, it has been broken up on the province/territory level. Information is given for the following categories: total population, non-immigrant population, immigrant population, immigrated before 1991, immigrated between 1991 and 1995, immigrated between 1996 and 2000, immigrated between 2001 and 2006. The total population count includes the non-immigrant population, the immigrant population and the non-permanent resident population. The non-permanent population is not shown separately in this table. Non-immigrants are persons who are Canadian citizens by birth. Although most Canadian citizens by birth were born in Canada, a small number were born outside Canada to Canadian Parents.
This dataset displays statistics on the immigrant status and the period of immigration for the Canadian population. These figures are derived from the Canadian Census of 2006. This information is provided by Statistics Canada, and is shown on the Census Division level. Due to the size of this dataset, it has been broken up on the province/territory level. Information is given for the following categories: total population, non-immigrant population, immigrant population, immigrated before 1991, immigrated between 1991 and 1995, immigrated between 1996 and 2000, immigrated between 2001 and 2006. The total population count includes the non-immigrant population, the immigrant population and the non-permanent resident population. The non-permanent population is not shown separately in this table. Non-immigrants are persons who are Canadian citizens by birth. Although most Canadian citizens by birth were born in Canada, a small number were born outside Canada to Canadian Parents.
This data represents the Oregon City Limit boundaries. Each city limit is defined as a continuous area within the statutory boundary of an incorporated city, which is the smallest subdivision of an annexed area. It is represented as spatial data (polygon with label point). Purpose: The use of city limits information was identified as a need for general planning purposes within ODOT. It was determined that this would be a frequently used data set that needed to be both spatially referenced and attributed in a GIS base layer. The decision was made to create a statewide coverage of the boundary outlining the city limits for each of the 242 incorporated cities. An incorporated city may have multiple areas that are not contiguous. Each such area is represented separately with its own polygon. The area of the city limits will be calculated from the polygons created. For assessment and taxation purposes, the boundary change process has two key dates. One is the effective date of the boundary change. The other is the filing deadline with the Department of Revenue. While both of these dates relate to boundary changes, they operate independently. The two key dates are March 31 and July 1. These dates help determine the property affected by a boundary change. The district must file its boundary change documents in final approved form to the Department of Revenue Cadastral Information Systems Unit by March 31 and obtain a notice of approval. In order for a district to extend its tax rate to an annexed territory, the district?s annexation must be effective on or before July 1.
Abstract: A continuous area within the statutory boundary of an incorporated city, which is the smallest subdivision of an annexed area. It is represented as spatial data (polygon with label point). The use of city limits information was identified as a need for general planning purposes within ODOT. It was determined that this would be a frequently used data set that needed to be both spatially referenced and attributed in a GIS base layer. The decision was made to create a statewide coverage of the boundary outlining the city limits for each of the 241 incorporated cities. An incorporated city may have multiple areas that are not contiguous. Each such area is represented separately with its own polygon. The area of the city limits will be calculated from the polygons created.
Display and/or analyses requiring spatially distributed monthly or annual precipitation for the climatological period 1961-90.
Parameter-elevation Regressions on Independent Slopes Model (PRISM) derived raster data is the underlying data set from which the polygons and vectors were created. PRISM is an analytical model that uses point data and a digital elevation model (DEM) to generate gridded estimates of annual, monthly and event-based climatic parameters. Detailed descriptions of the PRISM raster data can be found with the accompanying raster data sets. For further information, the online PRISM homepage can be found at
This dataset explores the farm population of Canada by province in 1996. 1. Refers to all persons who are members of a farm operator's household, living on a farm in a rural or urban area. 2. Refers to sparsely populated lands lying outside urban areas. 3. Refers to areas with minimum population concentrations of 1,000 and a population density of at least 400 per square kilometre, based on the previous census population counts. All territory outside urban areas is considered rural. Taken together, urban and rural areas cover all of Canada. Source: Statistics Canada, Censuses of Agriculture and Population. Last modified: 2004-09-29.
A continuous area within the statutory boundary of an incorporated city, which is the smallest subdivision of an annexed area. It is represented as spatial data (polygon with label point). The use of city limits information was identified as a need for general planning purposes within ODOT. It was determined that this would be a frequently used data set that needed to be both spatially referenced and attributed in a GIS base layer. The decision was made to create a statewide coverage of the boundary outlining the city limits for each of the 240 incorporated cities. An incorporated city may have multiple areas that are not contiguous. Each such area is represented separately with its own polygon. The area of the city limits will be calculated from the polygons created.
Polygonal areas representing county or municipal parks in Texas coastal counties. Arcs were extracted from Texas Dept. of Transportation county map series files and may be somewhat generalized.
A continuous area within the statutory boundary of an incorporated city, which is the smallest subdivision of an annexed area. It is represented as spatial data (polygon with label point). The use of city limits information was identified as a need for general planning purposes within ODOT. It was determined that this would be a frequently used data set that needed to be both spatially referenced and attributed in a GIS base layer. The decision was made to create a statewide coverage of the boundary outlining the city limits for each of the 240 incorporated cities. An incorporated city may have multiple areas that are not contiguous. Each such area is represented separately with its own polygon. The area of the city limits will be calculated from the polygons created. The city limits base layer will be updated and maintained to include approximately 1000 new annexations per year
This dataset explores the farm population of Canada by province in 2001. 1. Refers to all persons who are members of a farm operator's household, living on a farm in a rural or urban area. 2. Refers to sparsely populated lands lying outside urban areas. 3. Refers to areas with minimum population concentrations of 1,000 and a population density of at least 400 per square kilometre, based on the previous census population counts. All territory outside urban areas is considered rural. Taken together, urban and rural areas cover all of Canada. Source: Statistics Canada, Censuses of Agriculture and Population. Last modified: 2004-09-29.
This data set combined attributes from the USGS GNIS coverage with linework showing city limit boundaries in the state of Oregon This dataset is for determining the general location of city limits in the state of Oregon. The most precise city limit boundaries are kept by individual cities. The data is meant to be used with other 1:24000 scale data. The city limit boundaries were created by ODOT for use with the states road coverages.
public agenda.org
This dataset explores the farm population of Canada by province by comparing the populations from 1996 to 2001. 1. Refers to all persons who are members of a farm operator's household, living on a farm in a rural or urban area. 2. Refers to sparsely populated lands lying outside urban areas. 3. Refers to areas with minimum population concentrations of 1,000 and a population density of at least 400 per square kilometre, based on the previous census population counts. All territory outside urban areas is considered rural. Taken together, urban and rural areas cover all of Canada. Source: Statistics Canada, Censuses of Agriculture and Population. Last modified: 2004-09-29.
The NC Center for Geographic Information and Analysis developed the GIS data set, County Boundaries with Shoreline, as mapped by the US Geological Survey-Digital Line Graph Program to facilitate planning, siting and impact analysis in the 100 individual counties of North Carolina. This file enables the user to make various county-level determinations when used in conjunction with other data layers. Another coverage contains straight-lined boundaries of the coastal counties without the shoreline. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS). For more information about the data please go to cgia.state.nc.us
Locations of heliports in Texas coastal counties. Data generated from latitude/longitude coordinates provided by the Texas Dept. of Transportation Aviation Division. For display/cartography at scales of 1:24,000 or smaller Data are incomplete and some locations may be spatially inaccurate
This theme was created by mergeing blocks in the 2000 Census Redistricting block file to create Oregon's Congressional Districts. These district were put into effect by the Multnomah County Circuit court in the fall of 2001 and will stay in effect until ordered by a court, or changed by the 2011 redistricting effort.
Urbanized areas in Texas. Created by TGLO personnel based on USGS data. For display/cartography at intermediate or smaller scales (e.g. smaller than 1:24,000. Lines updated to reflect current extent of urban and suburban areas. this data set was reprojected from a state plain file.
The NC Center for Geographic Information and Analysis, using US Department of Commerce, Bureau of the Census data, developed the GIS data set, 1980 Census Boundaries/Population, containing easily accessible population and housing counts for the state of North Carolina. This file was developed to enable a user to see population and housing statistics from the 1980 Census as a way of tracking population and housing counts over time. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS). For more information please go to cgia.state.nc.us
This dataset explores Food services and drinking places Full-service restaurants by province and territory. x : suppressed to meet the confidentiality requirements of the Statistics Act F : too unreliable to be published. Notes: - North American Industry Classification System (NAICS), 2002 - 7221. - Estimates for the most recent year are preliminary. Preliminary data are subject to revision. Due to rounding, components may not add to total (where applicable). - Operating revenue excludes investment income, capital gains, extraordinary gains and other non-recurring items. - Operating expenses exclude write-offs, capital losses, extraordinary losses, interest on borrowing, and other non-recurring items. - Salaries, wages and benefits include vacation pay and commissions for all employees for whom a T4 slip was completed and the employer portion of employee benefits for items such as Canada/Qubec Pension Plan or Employment Insurance premiums. - Operating profit margin is derived as follows: operating revenue minus operating expenses, expressed as a percentage of operating revenue. Source: Statistics Canada, CANSIM, table (for fee) 355-0005 and Catalogue no. 63-018-X. Last modified: 2008-04-11.
This coverage shows the Oregon Congressional districts. This dataset was created to delineate Oregon Congressional districts for mapping purposes only. The coverage only delineates Congressional districts as they were drawn up by the Oregon Legislature for the 1990s.
The NC Center for Geographic Information and Analysis, using TIGER/line 2000 files and statistics from the US Department of Commerce/Bureau of the Census, developed the GIS 2000 Census Tract data sets for each of the 100 counties in North Carolina and combined the data into one statewide coverage. This file was developed to enable a user to see the geographic component from the 2000 Census. For more information about this data please go to cgia.state.nc.us/
The layer includes washover data including channel and interdune drainage features and washover areas for the entire Texas coast. Data was mapped and digitized at the Bureau of Economic Geology
National Wildlife Refuges in Texas owned by the U.S. Fish and Wildlife Service (USFWS). Digitized by Texas General Land Office from hardcopy maps provided by the USFWS Realty Division. Areas with REFUGE_SOURCE values of "USFWS" were provided by the USFWS as AutoCAD drawings. USFWS refuge areas acquired since 1992 have been added from various sources and may not be correctly depicted.
This dataset displays the statistics on labor force in Canada. These figures are available on the census division level for each province/territory. This data was derived from the 2006 Canadian Census, and made available through Statistics Canada. The following categories are provided as a total/male/female figure: Total population, 15 to 24, 25 54, 55 and over, as well as the median age. Labour force refers to those persons who were either employed or unemployed during the week prior to the Census Day: May 16, 2006. The employment level is the number of persons who during the week prior to the census did any work for pay or in self-employment or without pay on a family farm, business or professional practice, or were absent from their job or business, with or without pay, for the entire week because of a vacation, an illness, a labour dispute, at their place of work, or any other reasons. Due to the size of this dataset it has been broken down according to the province or territory.
The NC Center for Geographic Information and Analysis acquired the voting districts shapefiles for the state of North Carolina from the General Assembly/Information Systems Division. These data represent the boundaries of 2001 Congressional districts in North Carolina (zero deviation). Block assignments were based on the plan ratified by the General Assembly in 2001 and effective for the 2002 elections. Each district is labeled with unique district identification number. The shapefiles were processed into ARC/INFO coverages and projected from Decimal Degrees to Stateplane NAD83 meters projection. These data were created to display the boundaries of voting districts, and to enable users to display voting districts with other geographic features. For more information go to cgia.state.nc.us
The NC Center for Geographic Information and Analysis acquired the voting districts shapefiles for the state of North Carolina from the General Assembly/Information Systems Division. These data represent the boundaries of 2003 House districts in North Carolina, ratified Nov. 25, 2003. Each district is labeled with unique district identification number. The shapefiles were processed into ARC/INFO coverages and projected from Decimal Degrees to Stateplane NAD83 meters projection. These data were created to display the boundaries of voting districts, and to enable users to display voting districts with other geographic features.
The NC Center for Geographic Information and Analysis acquired the voting districts shapefiles for the state of North Carolina from the General Assembly/Information Systems Division. These data represent the boundaries of 2003 Senate Districts in North Carolina, ratified Nov. 25, 2003. Each district is labeled with unique district identification number. The shapefiles were processed into ARC/INFO coverages and projected from Decimal Degrees to Stateplane NAD83 meters projection. These data were created to display the boundaries of voting districts, and to enable users to display voting districts with other geographic features.
The North Carolina Department of Environment, Health, and Natural Resources, Divison of Waste Management, Superfund Section in cooperation with the North Carolina Center for Geographic Information and Analysis developed the GIS data set, Hazardous Substance Disposal Sites, to enhance planning, siting, and impact analysis in areas directly affected by Hazardous Substance Disposal Sites. The arc and polygon data identifies locations of uncontrolled and unregulated, hazardous waste sites (formerly called superfund sites) in North Carolina.The file includes sites on the CERCLA Information System (CERCLIS), the National Priorities List, the State Inactive Hazardous Sites List, the Sites Priority List, and some Department of Defense sites. Attributes describe the state or federal status, facility name, coordinate location, and site id numbers. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS).
The North Carolina Department of Environment and Natural Resources, Division of Water Quality in cooperation with the NC Center for Geographic Information and Analysis, developed the GIS data set, High Quality Water and Outstanding Resource Water Management Zones, to enhance planning, siting and impact analysis in areas directly affecting waters considered as having excellent (high) water quality or designated as an outstanding resource. Point and non-point source pollution management strategies are applicable to these waters. Zones in North Carolina were developed from NC DWQ Stream Classification Schedule, October 1, 1992. The 1:100,000-scale streams classified as "HQW" or "ORW" had a one-mile buffer generated around them. If the watershed boundary was closer than one mile, the ridge line was digitized from 1:24,000-scale topographic quads and superseded the one-mile buffer. The coastal HQW streams had a 1/2-mile buffer generated - with ridge lines added as needed. The coastal streams classified as "ORW" had a buffer generated around them of 575 feet. This data was created to assist governmental agencies and others in making resource management decisions through the use of a Geographic Information System (GIS).
NC Center for Geographic Information and Analysis developed the digital Hospital Locations data from hospital addresses provided by the State Center for Health Statistics This file enables users to identify hospital locations. This data covers the entire extent of North Carolina. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS).
Hurricane Evacuation Routes in North Carolina A hurricane evacuation route is a designated route used to direct traffic inland in case of a hurricane threat. This dataset is based on supplied data from gulf coast and Atlantic seaboard states. Each state was contacted by TGS to determine an official source for hurricane evacuation routes. GIS data was gathered from states willing to share such data. In cases where states were unable or unwilling to share data in this format, TGS requested that the states provide a source for identifying hurricane evacuation routes. The states usually identified a website that made this data available to the public. Hurricane evacuation routes depicted on non-GIS maps were digitized using aerial ortho imagery while referencing supplied maps and NAVTEQ_Streets_2006_Q3. Shape files that depicted hurricane evacuation routes were edge matched and merged with the digitized evacuation routes. All routes identified as primary hurricane evacuation routes were included in this dataset. If a state also designated secondary hurricane evacuation routes, they were included as well. Routes depicted in this dataset are dependent upon what each state identified as a hurricane evacuation route. Criteria used to identify these routes may vary from state to state. Homeland Security Use Cases: Use cases describe how the data may be used and help to define and clarify requirements. 1) A resource for emergency route planning purposes. 2) A resource for situational awareness planning and response for federal government events. 3) A portion of an evacuation route may be rendered unusable due to natural or man made disaster and rerouting of traffic is necessary. 4) An incident has occurred during an evacuation and first responders must quickly deploy to the area. 5) Public awareness.
This dataset displays the statistics on labor force in Canada. These figures are available on the census division level for each province/territory. This data was derived from the 2006 Canadian Census, and made available through Statistics Canada. The following categories are provided as a total/male/female figure: Total population, 15 to 24, 25 54, 55 and over, as well as the median age. Labour force refers to those persons who were either employed or unemployed during the week prior to the Census Day: May 16, 2006. The employment level is the number of persons who during the week prior to the census did any work for pay or in self-employment or without pay on a family farm, business or professional practice, or were absent from their job or business, with or without pay, for the entire week because of a vacation, an illness, a labour dispute, at their place of work, or any other reasons. Due to the size of this dataset it has been broken down according to the province or territory.
2008 Howard County Maryland Public Schools. These point features are on spatially located on top of the building.
This dataset displays the statistics on labor force in Canada. These figures are available on the census division level for each province/territory. This data was derived from the 2006 Canadian Census, and made available through Statistics Canada. The following categories are provided as a total/male/female figure: Total population, 15 to 24, 25 54, 55 and over, as well as the median age. Labour force refers to those persons who were either employed or unemployed during the week prior to the Census Day: May 16, 2006. The employment level is the number of persons who during the week prior to the census did any work for pay or in self-employment or without pay on a family farm, business or professional practice, or were absent from their job or business, with or without pay, for the entire week because of a vacation, an illness, a labour dispute, at their place of work, or any other reasons. Due to the size of this dataset it has been broken down according to the province or territory.
This dataset explores Food services and drinking places Full-service restaurants by province and territory. x : suppressed to meet the confidentiality requirements of the Statistics Act F : too unreliable to be published. Notes: - North American Industry Classification System (NAICS), 2002 - 7221. - Estimates for the most recent year are preliminary. Preliminary data are subject to revision. Due to rounding, components may not add to total (where applicable). - Operating revenue excludes investment income, capital gains, extraordinary gains and other non-recurring items. - Operating expenses exclude write-offs, capital losses, extraordinary losses, interest on borrowing, and other non-recurring items. - Salaries, wages and benefits include vacation pay and commissions for all employees for whom a T4 slip was completed and the employer portion of employee benefits for items such as Canada/Qubec Pension Plan or Employment Insurance premiums. - Operating profit margin is derived as follows: operating revenue minus operating expenses, expressed as a percentage of operating revenue. Source: Statistics Canada, CANSIM, table (for fee) 355-0005 and Catalogue no. 63-018-X. Last modified: 2008-04-11.
This dataset displays the statistics on labor force in Canada. These figures are available on the census division level for each province/territory. This data was derived from the 2006 Canadian Census, and made available through Statistics Canada. The following categories are provided as a total/male/female figure: Total population, 15 to 24, 25 54, 55 and over, as well as the median age. Labour force refers to those persons who were either employed or unemployed during the week prior to the Census Day: May 16, 2006. The employment level is the number of persons who during the week prior to the census did any work for pay or in self-employment or without pay on a family farm, business or professional practice, or were absent from their job or business, with or without pay, for the entire week because of a vacation, an illness, a labour dispute, at their place of work, or any other reasons. Due to the size of this dataset it has been broken down according to the province or territory.
This data contains the hydrologic units boundaries for the 18 southeasternmost independent cities/counties in Virginia. This area is part of the Albemarle-Pamlico Estuarine Study (APES) area. Hydrologic units depict watershed areas. This data only covers the Virginia APES area. The APES area covers a large portion of the North Carolina coast, central and north-central NC and southeastern VA. This data was collected as part of a study on the APE area. The APES area covers a large portion
This dataset displays the statistics on labor force in Canada. These figures are available on the census division level for each province/territory. This data was derived from the 2006 Canadian Census, and made available through Statistics Canada. The following categories are provided as a total/male/female figure: Total population, 15 to 24, 25 54, 55 and over, as well as the median age. Labour force refers to those persons who were either employed or unemployed during the week prior to the Census Day: May 16, 2006. The employment level is the number of persons who during the week prior to the census did any work for pay or in self-employment or without pay on a family farm, business or professional practice, or were absent from their job or business, with or without pay, for the entire week because of a vacation, an illness, a labour dispute, at their place of work, or any other reasons. Due to the size of this dataset it has been broken down according to the province or territory.
The USDA-Natural Resources Conservation Service, Raleigh Office in cooperation with the NC Center for Geographic Information & Analysis, and the NC Dept. of Environment, Health and Natural Resources, Division of Water Quality developed the Hydrologic Units-North Carolina digital data to track resource and conservation activities in the state's river basins and subbasins. Using the 14-digit hyrologic unit code the regional, subregional, accounting, cataloging, NRCS sub-unit, and NRCS reporting unit boundaries id's are recorded. The area attributes allow the user to see hydrologic unit, river basin and subbasin levels of geography. This River Basins file was produced from the Hydrologic Units data and identifies the major NC river basins. Data from the protected and critical watersheds layer for the state was used during the development of the HU boundaries. This coverage supersedes data on past versions, particularly the cama24.hu coverage, which was completed as a preliminary to this statewide version. Some boundaries may have changed between the two versions. There are two additional coverages which were generated from this data, the huncrb-river basins; and huncsb-subbasins files. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS).
This dataset explores Food services and drinking places Full-service restaurants by province and territory. x : suppressed to meet the confidentiality requirements of the Statistics Act F : too unreliable to be published. Notes: - North American Industry Classification System (NAICS), 2002 - 7221. - Estimates for the most recent year are preliminary. Preliminary data are subject to revision. Due to rounding, components may not add to total (where applicable). - Operating revenue excludes investment income, capital gains, extraordinary gains and other non-recurring items. - Operating expenses exclude write-offs, capital losses, extraordinary losses, interest on borrowing, and other non-recurring items. - Salaries, wages and benefits include vacation pay and commissions for all employees for whom a T4 slip was completed and the employer portion of employee benefits for items such as Canada/Qubec Pension Plan or Employment Insurance premiums. - Operating profit margin is derived as follows: operating revenue minus operating expenses, expressed as a percentage of operating revenue. Source: Statistics Canada, CANSIM, table (for fee) 355-0005 and Catalogue no. 63-018-X. Last modified: 2008-04-11.
This dataset displays the statistics on labor force in Canada. These figures are available on the census division level for each province/territory. This data was derived from the 2006 Canadian Census, and made available through Statistics Canada. The following categories are provided as a total/male/female figure: Total population, 15 to 24, 25 54, 55 and over, as well as the median age. Labour force refers to those persons who were either employed or unemployed during the week prior to the Census Day: May 16, 2006. The employment level is the number of persons who during the week prior to the census did any work for pay or in self-employment or without pay on a family farm, business or professional practice, or were absent from their job or business, with or without pay, for the entire week because of a vacation, an illness, a labour dispute, at their place of work, or any other reasons. Due to the size of this dataset it has been broken down according to the province or territory.
The USDA-Natural Resources Conservation Service, Raleigh Office in cooperation with the NC Center for Geographic Information & Analysis, and the NC Dept. of Environment, Health and Natural Resources, Division of Water Quality developed the Hydrologic Units-North Carolina digital data to track resource and conservation activities in the state's river basins and subbasins. Using the 14-digit hyrologic unit code the regional, subregional, accounting, cataloging, NRCS sub-unit, and NRCS reporting unit boundaries id's are recorded. The area attributes allow the user to see hydrologic unit, river basin and subbasin levels of geography. This file specifically shows the North Carolina subbasins. Data from the protected and critical watersheds layer for the state was used during the development of the HU boundaries. This coverage supersedes data on past versions, particularly the cama24.hu coverage, which was completed as a preliminary to this statewide version. Some boundaries may have changed between the two versions. There are two additional coverages which were generated from this data, the huncrb-river basins; and huncsb-subbasins files. See the cross references section for details. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS).
This dataset explores Food services and drinking places Full-service restaurants by province and territory. x : suppressed to meet the confidentiality requirements of the Statistics Act F : too unreliable to be published. Notes: - North American Industry Classification System (NAICS), 2002 - 7221. - Estimates for the most recent year are preliminary. Preliminary data are subject to revision. Due to rounding, components may not add to total (where applicable). - Operating revenue excludes investment income, capital gains, extraordinary gains and other non-recurring items. - Operating expenses exclude write-offs, capital losses, extraordinary losses, interest on borrowing, and other non-recurring items. - Salaries, wages and benefits include vacation pay and commissions for all employees for whom a T4 slip was completed and the employer portion of employee benefits for items such as Canada/Qubec Pension Plan or Employment Insurance premiums. - Operating profit margin is derived as follows: operating revenue minus operating expenses, expressed as a percentage of operating revenue. Source: Statistics Canada, CANSIM, table (for fee) 355-0005 and Catalogue no. 63-018-X. Last modified: 2008-04-11.
This dataset displays the statistics on labor force in Canada. These figures are available on the census division level for each province/territory. This data was derived from the 2006 Canadian Census, and made available through Statistics Canada. The following categories are provided as a total/male/female figure: Total population, 15 to 24, 25 54, 55 and over, as well as the median age. Labour force refers to those persons who were either employed or unemployed during the week prior to the Census Day: May 16, 2006. The employment level is the number of persons who during the week prior to the census did any work for pay or in self-employment or without pay on a family farm, business or professional practice, or were absent from their job or business, with or without pay, for the entire week because of a vacation, an illness, a labour dispute, at their place of work, or any other reasons. Due to the size of this dataset it has been broken down according to the province or territory.
This dataset displays the statistics on labor force in Canada. These figures are available on the census division level for each province/territory. This data was derived from the 2006 Canadian Census, and made available through Statistics Canada. The following categories are provided as a total/male/female figure: Total population, 15 to 24, 25 54, 55 and over, as well as the median age. Labour force refers to those persons who were either employed or unemployed during the week prior to the Census Day: May 16, 2006. The employment level is the number of persons who during the week prior to the census did any work for pay or in self-employment or without pay on a family farm, business or professional practice, or were absent from their job or business, with or without pay, for the entire week because of a vacation, an illness, a labour dispute, at their place of work, or any other reasons. Due to the size of this dataset it has been broken down according to the province or territory.
The NC Center for Geographic Information and Analysis, developed this digital Major Hydrography data to enhance planning, siting and impact analysis in areas directly affecting surface waters consisting of streams and rivers, lakes, reservoirs, and shorelines. The data is a subset of the 1:24,000-scale detailed hydrography data. This file is updated as changes occur. This data was created to assist governmental agencies and others in making resource management decisions through the use of a Geographic Information System (GIS) where information on general hydrographic features is needed.
This dataset displays the statistics on labor force in Canada. These figures are available on the census division level for each province/territory. This data was derived from the 2006 Canadian Census, and made available through Statistics Canada. The following categories are provided as a total/male/female figure: Total population, 15 to 24, 25 54, 55 and over, as well as the median age. Labour force refers to those persons who were either employed or unemployed during the week prior to the Census Day: May 16, 2006. The employment level is the number of persons who during the week prior to the census did any work for pay or in self-employment or without pay on a family farm, business or professional practice, or were absent from their job or business, with or without pay, for the entire week because of a vacation, an illness, a labour dispute, at their place of work, or any other reasons. Due to the size of this dataset it has been broken down according to the province or territory.
This dataset displays the statistics on labor force in Canada. These figures are available on the census division level for each province/territory. This data was derived from the 2006 Canadian Census, and made available through Statistics Canada. The following categories are provided as a total/male/female figure: Total population, 15 to 24, 25 54, 55 and over, as well as the median age. Labour force refers to those persons who were either employed or unemployed during the week prior to the Census Day: May 16, 2006. The employment level is the number of persons who during the week prior to the census did any work for pay or in self-employment or without pay on a family farm, business or professional practice, or were absent from their job or business, with or without pay, for the entire week because of a vacation, an illness, a labour dispute, at their place of work, or any other reasons. Due to the size of this dataset it has been broken down according to the province or territory.
The North Carolina State Energy Office in the Department of Administration supported the NC Center for Geographic Information and Analysis to develop a point layer of landfill locations in North Carolina, based on the inventory prepeared by the US EPA Landfill Methane Outreach Program. This set of Landfill Methane Outreach Program (LMOP) Landfill Sites represent sites with methane gas generation potential. Methane gas is a byproduct of solid waste decomposition in landfills. The file identifies landfills in North Carolina from the LMOP Landfill Project, verfied using information provided by the Division of Waste Management, NC Department of Environment and Natural Resources. In addition, CGIA created 10-mile buffers around each landfill point and analyzed company locations within the buffers based on a dataset derived for the State Energy Office by the Appalachian Regional Development Institute at Appalachian State University from a Harris Company commercial database. This data set was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS).
This dataset explores Food services and drinking places Full-service restaurants by province and territory. x : suppressed to meet the confidentiality requirements of the Statistics Act F : too unreliable to be published. Notes: - North American Industry Classification System (NAICS), 2002 - 7221. - Estimates for the most recent year are preliminary. Preliminary data are subject to revision. Due to rounding, components may not add to total (where applicable). - Operating revenue excludes investment income, capital gains, extraordinary gains and other non-recurring items. - Operating expenses exclude write-offs, capital losses, extraordinary losses, interest on borrowing, and other non-recurring items. - Salaries, wages and benefits include vacation pay and commissions for all employees for whom a T4 slip was completed and the employer portion of employee benefits for items such as Canada/Qubec Pension Plan or Employment Insurance premiums. - Operating profit margin is derived as follows: operating revenue minus operating expenses, expressed as a percentage of operating revenue. Source: Statistics Canada, CANSIM, table (for fee) 355-0005 and Catalogue no. 63-018-X. Last modified: 2008-04-11.
The North Carolina slope movement-slope movement deposit database (NCSM-SMD database) covers all of North Carolina. The NCSM-SMD databases includes slopemovement and deposit type, location, dimensions, dates, geologic (rock and soil), geomorphic and other site data for individual slope movements, and slope movement deposits. While the majority of the slope movement (landslide) events have occured mountainous western North Carolina, other parts of the state are not immune from such events. Initial data collection by the North Carolina Geological Survey (NCGS) began in 1990, but the impetus to assemble these data arose from a collaborative effort, beginning in 2004, between the North Carolina Division of Emergency Management, NCDEM, and the NCGS, to establish a statewide inventory of geological hazards. The geological hazard inventory currently includes the locations of and information on slope movements and slope movement deposits, earthquakes, historic mines, sinkholes, and a number of additional geological hazards. Further impetus to develop the NCSM-SMD database resulted from at least 90 slope meovements triggered by the inland tracking of hurricanes during September 2004. These slope movements resulted in a total of five deaths and 27 destroyed or heavily damaged homes. Reported landslides for which there are geographic coordinates are in the accomapanying data table and are present in the ESRI shape file. As of 15 February 2005 there are a total 497 slope movement-slope movement deposit records in the database; of these 446 have geographic coordinates. Those deposits without coordinates are not plotted but listed in the metadata abstract in an abbeviated format. The following is a glossary of terms used to describe the slope movements and slope movement deposits in this database. The project data is stored in a MS Access database in the NCGS's Swannanoa office. These data provide an inventory or landslides in North Carolina as of 15 February 2005 in support of a geohazards inventory of North Carolina funded through FEMA and the North Carolina Division of Emergency Managment
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is broke up into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is broke up into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
This data layer consists of conservation areas drawn on 1:24,000 scale USGS quadrangles by the participating land trusts. The Conservation Fund coordinated the land trusts mapping efforts. The conservation areas were manually digitized by CGIA. This layer was created with the cooperation of The Clean Water Management Trust Fund. This data was created for The Clean Water Management Trust Fund. This data was also created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS).
This dataset explore Forest fires and forest land burned in Canada by province and territory in 2005 by recording the number of fires and breaking it down by causes. .. : not available for a specific period of time. 1. Intensive protection zone includes forested lands of high value and areas where a risk to human life exists. Limited protection zone includes remote forested lands or other areas of low value where intensive forest protection cannot be justified economically. Source: National Forestry Database Program, 2007, Forest Fires (accessed August 20, 2007). Last modified: 2007-10-12.
The NC DENR Ecosystem Enhancement Program (EEP) Planning Group produces two primary products: Watershed Restoration Plans, which identify Targeted Local Watersheds (TLWs) across each of the major river basins; and Local Watershed Plans, which develop comprehensive solutions to local water quality problems within selected local watersheds. [Local Watersheds are synonymous with NRCS 14-digit hydrologic units]. Watershed Restoration Plans for each of the 17 river basins in NC are updated on a five-year planning cycle concurrent with the DENR DWQ Basinwide Water Quality Plans. This 2005 update identifies 335 local watersheds that will be the focus of EEP planning and implementation. The purpose and method of watershed selection are summarized at nceep.net/services/restplans/Planning%20Guide.pdf. The targeted watersheds are further described in each basin restoration plan at nceep.net/services/restplans/watershedplans.html. The purpose of this theme is to provide water quality planners and ecosystem planners with a set of watersheds that represent the greatest needs and opportunities for watershed restoration.
This dataset explores Government pollution abatement and control expenditures for provincial and territorial governments in Canada for the years 1995 - 2000. ... : not applicable. 1. Includes Nunavut up to and including 1998 or 1998-1999. Source: Statistics Canada, Catalogue no. 16-200-XKE. Last modified: 2005-02-01.
This dataset displays the industry employment by age groups for Canada according to goods. This information is displayed on the census division level, and is broke up into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
This dataset explores Government pollution abatement and control expenditures for local governments in Canada for the years 1995 - 2000. ... : not applicable. 1. Includes Nunavut up to and including 1998 or 1998-1999. Source: Statistics Canada, Catalogue no. 16-200-XKE. Last modified: 2005-02-01.
This dataset displays the industry employment by age groups for Canada according to goods. This information is displayed on the census division level, and is broke up into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is broke up into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is broke up into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
This dataset explores Health-adjusted life expectancy by sex in Canada for 2001. 1. The estimates are based on two years of death data (2000 and 2001). 2. Life expectancy is the number of years a person would be expected to live, starting at birth, if the age- and sex-specific mortality rates for a given observation period (such as a calendar year) were held constant over the estimated life span. 3. Health-adjusted life expectancy is a more comprehensive indicator than that of life expectancy because it introduces the concept of quality of life. Health-adjusted life expectancy is the number of years in full health that an individual can expect to live given the current morbidity and mortality conditions. Health-adjusted life expectancy uses the Health Utility Index (HUI) to weigh years lived in good health higher than years lived in poor health. Thus, health-adjusted life expectancy is not only a measure of quantity of life but also a measure of quality of life. 4. Canada, excluding the territories. Source: Statistics Canada, CANSIM, table 102-0121 and Catalogue no. 82-221-X. Last modified: 2007-11-26.
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is broke up into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is broke up into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
This dataset explores Homeowner expenditure on repairs and renovations by province in Canada for 2002. 1. Average Expenditure: Averages are based on all of the households in the sample including those that reported no expenditure for the category. Source: Income Statistics Division, Homeowner Repair and Renovation Expenditure 2002, Catalogue no. 62-201-XIB. Last modified: 2005-01-12.
The North Carolina Department of Environment and Natural Resources, Division of Water Quality, Planning Branch in cooperation with the NC Center for Geographic Information and Analysis, developed the GIS data set, National Pollutant Discharge Elimination System Sites(NPDES), to enhance planning, siting, and impact analysis in areas which are directly affected by these sites. The file identifies outfall locations for individual NPDES permitted wastewater discharges to surface waters in North Carolina. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS).
CGIA developed this set of point locations for potential emergency shelters in North Carolina as part of a project for the Flood Innundation and Forecast Mapping System. Structures selected to serve as shelters in disaster response will vary. This set represent structures of the type that may be selected by local emergency managers, the Red Cross, or other disaster response agencies. These data were created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS). These data are useful in many planning and emergency management operations.
This dataset lays out the path that the bulls run each day during the San Fermin festival in Pamplona Spain. The festival starts the 6th of July. The path was actually copied from the website's map and made into a kml. The bull start the run on Calle Santo Domingo and head south arriving at the bull ring.
This dataset contains bars in Pamplona, Spain. This list does not necessarally contain all of the bars in Pamplona.
This dataset contains hotels in Pamplona, Spain. Attributes include the estimated price range and the contact information for the hotel. This list does not necessarily contain all of the hotels in Pamplona.
North Carolina Sea Grant and the North Carolina Department of Environment and Natural Resources, Division of Parks and Recreation, in cooperation with the NC Center for Geographic Information and Analysis, developed the digital geographic information system (GIS) Paddle Trails, Coastal Plain data to as part of an ongoing effort to inventory and publicize watertrails through DPR's trails programs. This data contains the trail locations and access points for the inventoried trails in the coastal plain of North Carolina. Other trails in the coastal plain and in other portions of the state are to be inventoried as resources allow. This data was created as part of the North Carolina Coastal Plain Paddle Trails Initiative, a private grant funded program with NC Sea Grant. This initiative consisted off multiple parts that ranged from a paddler's inventory to economic impact assessments. This effort has developed an understanding of how paddling and paddling related actions impact and interact with the environment, local establishment and infrastructure and can help guide efforts in the development of ecotourism.
The NC Center for Geographic Information and Analysis developed the GIS data set, Public Municipal Stormwater Systems, as mapped by contractors to the NC Rural Center (engineering firms McGill & Associates and Hobbs, Upchurch & Associates) during 2004, 2005, and 2006 to facilitate planning, siting and impact analysis in the 100 individual counties of North Carolina. This file enables the user to make various county-level determinations when used in conjunction with other data layers. The purpose of this data set is to inform users of key information about Public Municipal Stormwater Systems in North Carolina, with particular focus on system size and growth, regulatory compliance, and capital improvement needs of the systems.
The NC Center for Geographic Information and Analysis developed the GIS data set, Type A Current Public Sewer Systems, as mapped by contractors to the NC Rural Center (engineering firms McGill & Associates and Hobbs, Upchurch & Associates) during 2004, 2005, and 2006 to facilitate planning, siting and impact analysis in the 100 individual counties of North Carolina. This file enables the user to make various county-level determinations when used in conjunction with other data layers. The purpose of this data set is to inform users of key information about public sewer systems in North Carolina, with particular focus on system size and growth, sewage discharge annd treatment, and capital improvement needs of the systems.
The NC Center for Geographic Information and Analysis developed the GIS data set, Type A Future Public Sewer Systems, as mapped by contractors to the NC Rural Center (engineering firms McGill & Associates and Hobbs, Upchurch & Associates) during 2004, 2005, and 2006 to facilitate planning, siting and impact analysis in the 100 individual counties of North Carolina. This file enables the user to make various county-level determinations when used in conjunction with other data layers. The purpose of this data set is to inform users of key information about public sewer systems in North Carolina, with particular focus on system size and growth, sewage discharge annd treatment, and capital improvement needs of the systems.
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is broke up into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is broke up into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
The NC Center for Geographic Information and Analysis developed the GIS data set, Type A Current Public Water Systems, as mapped by contractors to the NC Rural Center (engineering firms McGill & Associates and Hobbs, Upchurch & Associates) during 2004, 2005, and 2006 to facilitate planning, siting and impact analysis in the 100 individual counties of North Carolina. This file enables the user to make various county-level determinations when used in conjunction with other data layers. The purpose of this data set is to inform users of key information about public water systems in North Carolina, with particular focus on system size and growth, water usage, water treatment, and capital improvement needs of the systems.
Map showing 8 major climate classes for Africa. Digital version of "Major Climatic Divisions" derived from the Agro-Ecological Zones Project, made by FAO in 1978. Refer to World Soil Resources Report 48, Vol. 1 Methodology and Results for Africa.
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
This dataset explores Homicide offences by number and rate for Canada from 2002 - 2006. Source: Statistics Canada, CANSIM, table (for fee) 253-0001. Last modified: 2007-10-17.
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
The US Geological Survey-National Mapping Division created the 1:100,000-scale Railroads data from their published maps. The 1:24,000 scale railroads were derived from USGS's DLG (Digital Line Graph) Program The NC Center for Geographic Information and Analysis, combined these two data sources to develop the NC statewide Transportation-Railroads digital data as a base layer showing railroad features. 24 k data was use when duplicate tracks existed from both sources. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS).
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
The NCREDC in conjunction with Hobbs, Upchurch & Associates developed the digital location and information of sewer pumps as mapped by individual system owners as required by contract. The data collected will facilitate planning, siting and impact analysis in the 70 individual counties of North Carolina. This file enables the user to make various county-level determinations when used in conjunction with other data layers. This data contains information on sewer pumping stations, including: pump ID, area name, original construction year, latest renovation, and pump capacity in gallons per minute. Other coverages exist with sewer lines and other appurtenances. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS).
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
The NCREDC in conjunction with Hobbs, Upchurch & Associates developed the digital Type "A" Sewer Systems as mapped by individual system owners as required by contract. The data collected will facilitate planning, siting and impact analysis in the 70 individual counties of North Carolina. This file enables the user to make various county-level determinations when used in conjunction with other data layers. This data contains information on type "A" sewer systems which are existing community sanitary sewer systems which serve the general public accept domestic wastewater and are generally considered large systems. Data includes information on: system ID, system name, owners ID, parts of system, total number of parts, year of construction, description of the service area, number of residential customers, number of non-residential customers, number of bulk purchasers, maximum daily flow, average daily flow, average monthly charge for residential customers, average monthly charge for non-residential customers, average monthly charge for bulk purchase customers, average monthly usage for residential customers, average monthly usage for non-residential customers, average monthly usage for bulk purchase customers, basin transfer, current conditions/problems, engineers recommendations, estimate to implement recommendations, expansion of service area, projected maximum daily flow for year 2000, projected maximum daily flow for year 2010, projected maximum daily flow for year 2020, projected average daily flow for year 2000, projected average daily flow for year 2010, projected average daily flow for year 2020, indebtedness, bond rating, and cash reserves.Other coverages exist with sewer lines and other appurtenances. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS).
The NCREDC in conjunction with Hobbs, Upchurch & Associates developed the digital "B" Sewer System as mapped by individual system owners as required by contract. The data collected will facilitate planning, siting and impact analysis in the 70 individual counties of North Carolina. This file enables the user to make various county-level determinations when used in conjunction with other data layers. This data contains information on "B" Sewer systems which are existing community systems which serve the general public and accept domestic wastewater are generally smaller systems representing small, private, business, industrial, mobile home, multi-family housing or single subdivision systems which have very limited potential future economic development impact. Information includes: system ID, system name, owner's name and telephone number. Other coverages exist with Sewer lines and other appurtenances. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS).
The NCREDC in conjunction with Hobbs, Upchurch & Associates developed the digital ``P' Sewer System as mapped by individual system owners as required by contract. The data collected will facilitate planning, siting and impact analysis in the 70 individual counties of North Carolina. This file enables the user to make various county-level determinations when used in conjunction with other data layers. This data contains information on `P' Sewer systems which are planned or proposed public community system service areas are outside of current service area boundaries where public systems do not currently exist. Type P systems are areas which have been identified as having sufficient need and population density to support viable public systems and which have an existing minimum potential user density of 40 existing potential connections per mile of wastewater collection line. Information includes: system ID, parent system ID, cost estimate to implement. Other coverages exist with sewer lines and other appurtenances. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS).
The NCREDC in conjunction with Hobbs, Upchurch & Associates developed the digital location and information of sewer treatment plants as mapped by individual system owners as required by contract. The data collected will facilitate planning, siting and impact analysis in the 70 individual counties of North Carolina. This file enables the user to make various county-level determinations when used in conjunction with other data layers. This data contains information on sewerage treatment plants as defined by NCREDC. Information includes: WWTP ID, original construction year, latest renovation date, permitted plant capacity, maximum daily flow, average daily flow, type of treatment, Sludge disposal technology, estimate of I/I and facility area in acres. Other coverages exist with sewer lines and other appurtenances. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS).
The NCREDC in conjunction with Hobbs, Upchurch & Associates developed the digital Sewer system discharges as mapped by individual system owners as required by contract. The data collected will facilitate planning, siting and impact analysis in the 70 individual counties of North Carolina. This file enables the user to make various county-level determinations when used in conjunction with other data layers. This data contains information on sewage discharges, including: discharge ID, location description, original construction date, and latest renovation date. Other coverages exist with sewer lines and other appurtenances. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS).
The NCREDC in conjunction with Hobbs, Upchurch & Associates developed the digital Sewer system land applications as mapped by individual system owners as required by contract. The data collected will facilitate planning, siting and impact analysis in the 70 individual counties of North Carolina. This file enables the user to make various county-level determinations when used in conjunction with other data layers. This data contains information on sewer land applications, including: land application ID, original construction date, latest renovation, permit expiration date, and land area. Other coverages exist with sewer lines and other appurtenances. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS).
NC Center for Geographic Information and Analysis developed the digital Non-Public Schools data from addresses provided by the NC Department of Administration, Division of Non-Public Education on 5/07/03. This file enables users to identify non-public school locations. This data covers the entire extent of North Carolina. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS).
CGIA developed this set of point locations for public schools in North Carolina as part of a project for the NC Division of Emergency Management. School data serves multiple purposes, but foremost for this project, public schools are vital facilities in terms of emergency management. Many schools serve as shelters and all are critical to hazard vulnerability planning and emergency response. CGIA used two methods to generate point locations for public schools. First, CGIA used a road network from GDT, Inc. with ArcView GIS to geocode the addresses. The initial process matched 60 percent of the schools with a point on the road network. Point locations are approximate, based on an interpolation of street numbers along street segments. Second, CGIA worked with the NC Department of Public Instruction to use the Transportation Information Management System (TIMS) along with geographic layers from the NC Corporate Geographic Database to determine school locations. Many of these point locations are coinciden with the center of school buildings on digital imagery or along driveways and may be more accurate than points located using the first method. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS).
This dataset explores Horticulture and greenhouse products by province in 1981. 1. Conversion factor: 1 hectare equals 2.471 acres. 2. Conversion factor: 1 square metre equals 10.76391 square feet. Source: Statistics Canada, Census of Agriculture. Last modified: 2004-05-30.
This dataset explores Horticulture and greenhouse products by province in 1986. Other years of data is also available on Finder! 1. Conversion factor: 1 hectare equals 2.471 acres. 2. Conversion factor: 1 square metre equals 10.76391 square feet. Source: Statistics Canada, Census of Agriculture. Last modified: 2004-05-30.
This dataset explores Horticulture and greenhouse products by province in Canada for 1991. Other years of data are available on Finder! 1. Conversion factor: 1 hectare equals 2.471 acres. 2. Conversion factor: 1 square metre equals 10.76391 square feet. Source: Statistics Canada, Census of Agriculture. Last modified: 2004-05-30.
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
This GIS data set is a digital general soil association map of North Carolina developed by the National Cooperative Soil Survey. It consists of a broad based inventory of soils and nonsoil areas that occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. The soil maps for STATSGO are compiled by generalizing more detailed soil survey maps. Where more detailed soil survey maps are not available, data on geology, topography, vegetation, and climate are assembled, together with Land Remote Sensing Satellite (LANDSAT) images. Soils of like areas are studied, and the probable classification and extent of the soils are determined. Map unit composition for a STATSGO map is determined by transecting or sampling areas on the more detailed maps and expanding the data statistically to characterize the whole map unit. This data set consists of georeferenced digital map data and computerized attribute data. The map data are collected in 1- by 2-degree topographic quadrangle units and merged and distributed as statewide coverages. The soil map units are linked to attributes in the Map Unit Interpretations Record relational data base which gives the proportionate extent of the component soils and their properties. STATSGO depicts information about soil features on or near the surface of the Earth. These data are collected as part of the National Cooperative Soil Survey.
This dataset explores Horticulture and greenhouse products by province in Canada for 1991. Other years of data are available on Finder! 1. Conversion factor: 1 hectare equals 2.471 acres. 2. Conversion factor: 1 square metre equals 10.76391 square feet. Source: Statistics Canada, Census of Agriculture. Last modified: 2004-05-30.
This dataset explores Horticulture and greenhouse products by province for 2001. Other years' datasets are also available on Finder! 1. Conversion factor: 1 hectare equals 2.471 acres. 2. Conversion factor: 1 square metre equals 10.76391 square feet. Source: Statistics Canada, Census of Agriculture. Last modified: 2004-05-30.
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
The North Carolina Department of Environment, Health, and Natural Resources, Division of Water Quality, in cooperation with the NC Center for Geographic Information and Analysis, developed the GIS data set, Surface Water Intakes to enhance planning, siting and impact analysis in areas directly affecting water supply intakes in North Carolina. The file enables users to identify point locations where communities draw raw water from a lake, river, or stream; treat it; and distribute treated water to residences and businesses in North Carolina. The original locations were developed by the DEHNR-Div of Environmental Health, Public Water Supply Branch in April of 1990. Locations have been altered, added and deleted by the Division of Water Quality who updates this file in accordance with the Water Supply Watersheds file. This file is updated as changes occur. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS).
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
In the late 1990s, the North Carolina Department of Environment and Natural Resources, Division of Water Quality developed a GIS data set representing point locations of intensive animal operations in North Carolina. In 2003, CGIA used digital ortho photography from 1998 to verify the DWQ points for swine operations and to identify additional swine lagoons and barns visible in the photos. The intention is to display patterns of swine operations for planning and impact analysis without including attributes of the operations. Matching points to DWQ permits, for example, would take more research and processing. These data were created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS).
The NC DENR Ecosystem Enhancement Program (EEP) Planning Group produces two primary products: Watershed Restoration Plans, which identify Targeted Local Watersheds (TLWs) across each of the major river basins; and Local Watershed Plans, which develop comprehensive solutions to local water quality problems within selected local watersheds. [Local Watersheds are synonymous with NRCS 14-digit hydrologic units]. Watershed Restoration Plans for each of the 17 river basins in NC are updated on a five-year planning cycle concurrent with the DENR DWQ Basinwide Water Quality Plans. This 2005 update identifies 335 local watersheds that will be the focus of EEP planning and implementation. The purpose of this theme is to provide water quality planners and ecosystem planners with a set of watersheds that represent the greatest needs and opportunities for watershed restoration.
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
This set of boundaries represent Township Boundaries and other Minor Civil Divisions as released by the US Bureau of the Census as cartographic boundary files based on Census 2000 geography. Statistical data are not joined to these boundaries. The purpose of this data set is to provide approximate township boundaries and other minor civil divisions as a context for other GIS themes and as a reference for statistical data from Census 2000.
This dataset describes the path that the bulls run each day during the San Fermin festival in Pamplona Spain. The festival starts the 6th of July. The bull start the run on Calle Santo Domingo and head north arriving at the bull ring. Each point describes a section of the run including its level of safety and the death that have occurred in that section.
This dataset provides the location and description of some of Pamplona's best tapas or pinchos bars. "Pinchos are small portions of food or tapas that are served at the bar and are meant to be eaten immediately." Most are bars that have competed in Pincho Week, which is held each year at the end of March. "Navarre can be considered to be one of Spains leading regions for this style of cuisine." (a few of the bars came from: http://www.atapear.com/guia-de-bares-de-tapas/comunidad-foral-de-navarra/pamplona)
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
The poly shapfile shows aggregated dollar amounts received by counties as part of crop damage assistance provided by FSA (Farm Service Agency) of USDA for the year 2005. The original data came from the data-repository FAADS database maintained by Census. It has quarterly data on all the payments made by the Federal govt to all Govt and non-govt entities in the U.S. The 1st quarter 2005 has assistance that was approved during 2004. Also listed in this shapefile are the total number of natural disaster events and count of disaster event types. This data came from FSA's website. Elsewhere on Finder! you may find data for 2006 and 2007.
The poly shapfile shows aggregated dollar amounts received by counties as part of crop damage assistance provided by FSA (Farm Service Agency) of USDA for the year 2006. The original data came from the data-repository FAADS database maintained by Census. It has quarterly data on all the payments made by the Federal govt to all Govt and non-govt entities in the U.S. Also listed in this shapefile are the total number of natural disaster events and count of disaster event types. This data came from FSA's website. Elsewhere on Finder! you may find data for 2005 and 2007.
The poly shapfile shows aggregated dollar amounts received by counties as part of crop damage assistance provided by FSA (Farm Service Agency) of USDA for the year 2007. The original data came from the data-repository FAADS database maintained by Census. It has quarterly data on all the payments made by the Federal govt to all Govt and non-govt entities in the U.S. Also listed in this shapefile are the total number of natural disaster events and count of disaster event types. This data came from FSA's website. Elsewhere on Finder! you may find data for 2005 and 2006.
The US Geological Survey-National Mapping Division created the 1:24,000-scale Pipe and Transmission data for their published maps. The NC Center for Geographic Information and Analysis, developed the NC statewide Transportation- Miscellaneous (1:24,000) digital data as a base layer showing pipe and transmission lines. This data was compiled directly from the DLGs. Apparent inconsistencies in specific areas may be due to different compliation dates of the source maps. Airports and landing strips have been removed and are stored in another file. DLG's depict information about geographic features on or near the surface of the Earth, terrain, and political and administrative units. These data were collected as part of the National Mapping Program. NC CGIA digitizes and distributes dlgs to help agencies and others make resource management and other types of decisions.
NC Center for Geographic Information and Analysis developed the digital NC Independent Colleges and Universities data from addresses provided by the State Library of North Carolina on 7/08/03. This file enables users to identify independent college and university locations. These data cover the entire extent of North Carolina. These data were created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS).
TIGER, TIGER/Line, and Census TIGER are registered trademarks of the U.S. Census Bureau. ZCTA is a trademark of the U.S. Census Bureau. The UA Census 2000 TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on January 1, 2000 legal boundaries. A complete set of UA Census 2000 TIGER/Line files includes all counties and statistically equivalent entities in the United States, Puerto Rico, and the Island Areas as of January 1, 2000. The UA Census 2000 TIGER/Line files do not include a file for Broomfield County, CO which became effective November 15, 2001. The Census TIGER database represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The UA Census 2000 TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. The boundary information in the TIGER/Line files are for statistical data collection and tabulation purposes only; their depiction and designation for statistical purposes does not constitute a determination of jurisditional authority or rights of ownership or entitlement. The files contain information distributed over a series of record types for the spatial objects of a county. There are 17 record types, including the basic data record, the shape coordinate points, and geographic codes that can be used with appropriate software to prepare maps. Other geographic information contained in the files includes attributes such as feature identifiers/census feature class codes (CFCC) used to differentiate feature types, address ranges and ZIP Codes, codes for legal and statistical entities, latitude/longitude coordinates of linear and point features, landmark point features, area landmarks, key geographic features, and area boundaries. The UA Census 2000 TIGER/Line data dictionary contains a complete list of all the fields in the 17 record types.
The North Carolina Department of Administration, State Property Office, in cooperation with the NC Center for Geographic Information and Analysis, developed the GIS data set, State-owned Complexes, to define the exterior boundaries of state-owned complexes in North Carolina; e.g.:DOT maintenance yards, state parks, state universities, etc. This point layer is a subset of the full State Owned Complexes and contains only public universities. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS).
The U.S. Geological Survey (USGS) in cooperation with the NC Center for Geographic Information and Analysis, developed the GIS data set, USGS Stream Gaging Stations for North Carolina River Basins. Data collection at these stations monitors streamflow and quality of water. This data set was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS).
The NCREDC in conjunction with Hobbs, Upchurch & Associates developed the digital Water system intakes as mapped by individual system owners as required by contract. The data collected will facilitate planning, siting and impact analysis in the 70 individual counties of North Carolina. This file enables the user to make various county-level determinations when used in conjunction with other data layers. This data contains information on water intakes, including: intake number original construction date, latest renovation to the intake, and permitted maximum flow. Other coverages exist with water lines and other appurtenances. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS).
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
The NCREDC in conjunction with Hobbs, Upchurch & Associates developed the digital location and information of water master meters as mapped by individual system owners as required by contract. The data collected will facilitate planning, siting and impact analysis in the 70 individual counties of North Carolina. This file enables the user to make various county-level determinations when used in conjunction with other data layers. This data contains information on water master meters including: meter ID, original construction year, latest year of renovation, meter size, maximum amount of water available for purchase from the meter. Other coverages exist with water lines and other appurtenances. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS).
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
The NCREDC in conjunction with Hobbs, Upchurch & Associates developed the digital location and information of water pumps as mapped by individual system owners as required by contract. The data collected will facilitate planning, siting and impact analysis in the 70 individual counties of North Carolina. This file enables the user to make various county-level determinations when used in conjunction with other data layers. This data contains information on water pumps as defined by NCREDC, pump ID, area name, original construction year, latest renovation, pump capacity. Other coverages exist with water lines and other appurtenances. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS).
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
The NCREDC in conjunction with Hobbs, Upchurch & Associates developed the digital Type `A' Water Systems as mapped by individual system owners as required by contract. The data collected will facilitate planning, siting and impact analysis in the 70 individual counties of North Carolina. This file enables the user to make various county-level determinations when used in conjunction with other data layers. This data contains information on water intakes, including: data about customers, flows, projected flows, problems, recommendations, system description, costs, owner information and financial information. Other coverages exist with water lines and other appurtenances. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS).
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
The NCREDC in conjunction with Hobbs, Upchurch & Associates developed the digital ``B' Water System as mapped by individual system owners as required by contract. The data collected will facilitate planning, siting and impact analysis in the 70 individual counties of North Carolina. This file enables the user to make various county-level determinations when used in conjunction with other data layers. This data contains information on ``B' water systems as defined by NCREDC, system ID, system name, population served, owner's name and telephone number. Other coverages exist with water lines and other appurtenances. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS).
The NCREDC in conjunction with Hobbs, Upchurch & Associates developed the digital ``P' Water System as mapped by individual system owners as required by contract. The data collected will facilitate planning, siting and impact analysis in the 70 individual counties of North Carolina. This file enables the user to make various county-level determinations when used in conjunction with other data layers. This data contains information on `P' water systems as defined by NCREDC, system ID, parent system ID, cost estimate toimplement. Other coverages exist with water lines and other appurtenances. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS).
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
The NCREDC in conjunction with Hobbs, Upchurch & Associates developed the digital location and information of water tanks as mapped by individual system owners as required by contract. The data collected will facilitate planning, siting and impact analysis in the 70 individual counties of North Carolina. This file enables the user to make various county-level determinations when used in conjunction with other data layers. This data contains information on water tanks as defined by NCREDC, tank ID, area name, original construction year, latest renovation, type of tank, tank utilization, construction material, bottom elevation, overflow elevation, tank capacity. Other coverages exist with water lines and other appurtenances. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS).
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
The NCREDC in conjunction with Hobbs, Upchurch & Associates developed the digital location and information of water treatment plants as mapped by individual system owners as required by contract. The data collected will facilitate planning, siting and impact analysis in the 70 individual counties of North Carolina. This file enables the user to make various county-level determinations when used in conjunction with other data layers. This data contains information on water treatment plants as defined by NCREDC, WTP ID, original construction year, latest renovation, permitted plant capacity, maximum daily flow, average daily flow, type of treatment, and facility area in acres. Other coverages exist with water lines and other appurtenances. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS).
The NCREDC in conjunction with Hobbs, Upchurch & Associates developed the digital well location map by individual system owners as required by contract. The data collected will facilitate planning, siting and impact analysis in the 70 individual counties of North Carolina. This file enables the user to make various county-level determinations when used in conjunction with other data layers. This data contains information on groundwater intake wells, including: Well ID, construction date, latest renovation date, and safe yield. Other coverages exist with other appurtenances. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS).
The North Carolina Department of Environment and Natural Resources, Division of Water Quality, in cooperation with the NC Center for Geographic Information and Analysis, developed the digital Water Supply Watersheds data to enhance planning, siting and impact analysis in areas directly affecting water supply intakes. This file outlines the extent of protected and critical areas and stream classifications for areas around water supply watersheds in which development directly affects a water supply intake. This file enables users to identify the areas which have special restrictions for building and development based on water supply intakes. This file is updated as changes occur. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS).
The NC-CGIA developed the digital GIS Wild and Scenic Rivers data set from the National Wild and Scenic Rivers System website information (http://www.rivers.gov). The Wild and Scenic Rivers Act established a method for providing Federal protection for certain of our country's remaining free-flowing rivers, preserving them and their immediate environments for the use and enjoyment of present and future generations. Rivers are included in the system so that they may benefit from the protective management and control of development for which the Act provides. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS).
ESRI ArcView shapefile depicting New Mexico coal mines permitted under the Surface Mining Control and Reclamation Act of 1977 (SMCRA), by either the NM Mining & Minerals Division (MMD), or by the federal DOI Office of Surface Mining, Reclamation & Enforcement, as of October 2005. The permit boundaries of the mines are displayed as polygons; these boundaries were typically derived from source AutoCAD drawing (.dwg) files submitted to as part of the permitting process, and are known to contain some inaccuracies. The data is intended for general depiction of New Mexico coal mine permit boundaries, and not for highly detailed analysis requiring accurate locations
This set of boundaries represent Zip Code Tabulation Areas (5-digit) as released by the US Bureau of the Census as cartographic boundary files based on Census 2000 geography. There are multiple polygons per 5-digit zip code in some cases. Statistical data are not joined to these boundaries. The purpose of this data set is to provide approximate zip code boundaries as a context for other GIS themes and as a reference for statistical data from Census 2000, Zip Code Tabulation Areas.
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
An inventory of the names and locations of oilfields, mines, dams, towers, and other man-made structures in New Mexico. Extracted from the USGS Geographic Names Information System. This dataset is a subset of the original dataset which can be found with the link. This dataset only shows the features labeled with'type' = Dam.
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
An inventory of the names and locations of oilfields, mines, dams, towers, and other man-made structures in New Mexico. Extracted from the USGS Geographic Names Information System. This dataset only shows the locations of the Mines from the original Data set. data was reprojected from a state plain system.
This dataset displays data from the 2005 Census of Japan. It displays data on Foreigners living throughout prefectures in Japan. This dataset specifically breaks up the data for males, females, and both sexes. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau.
An inventory of the names and locations of oilfields, mines, dams, towers, and other man-made structures in New Mexico. Extracted from the USGS Geographic Names Information System. This dataset is a subset of the original dataset found at the New Mexico Resource GIS program, and includes only the data on Oil Fields. data was reprojected from a state plain system.
This dataset is a graphic depiction of the legal jurisdictional county perimeters for the State of Oregon. For more information about the data go to gis.oregon.gov
An inventory of the names and locations of oilfields, mines, dams, towers, and other man-made structures in New Mexico. Extracted from the USGS Geographic Names Information System. this dataset only contains the 'tower' features from the original dataset, Gnis01m.shp. data was also reprojected from a state plain system.
Under a federal program called "Conservation Reserve Program" (CRP), the USDA pays individual farmers for not cultivating their farms. With the recent worldwide rise in crop prices, and under pressure from the Farm lobby, the USDA is considering releasing such fallow land for raising crops. The poly shapefile shows total payments by county made to individual farmers under the CRP in 2007. The total amount for the lower 48 states is over $1.87 billion for the entire 2007. Nearly 2,650 counties out of 3,108 received payments under this program. The counties with the most payments are: Witman, WA (~$136 mill) Hill, MT (~$118 mill), Choteau, MT (~$110 mill) Adams, WA (~$108 mill) Umatilla, OR (~$98 mill)
An inventory of the names and locations of oilfields, mines, dams, towers, and other man-made structures in New Mexico. Extracted from the USGS Geographic Names Information System. this data set shows 'other' man made structures in New Mexico. data was reprojected from a state plain format.
This dataset explores Health and social service institutions revenue and expenditures by province in Canada for 2008. Data is in thousands of dollars (Canadian Dollars $CAD). .. : not available for a specific period of time. Note : Fiscal year ending March 31. Source: Statistics Canada, CANSIM, table (for fee) 385-0008. Last modified: 2008-06-25.
The buildings and structures in Tompkins County.
A ZIP Code tabulation area (ZCTA ) is a statistical geographic entity that approximates the delivery area for a U.S. Postal Service five-digit or three-digit ZIP Code. ZCTAs are aggregations of census blocks that have the same predominant ZIP Code associated with the addresses in the U.S. Census Bureau's Master Address File. Three -digit ZCTA codes are applied to large contiguous areas for which the U.S. Census Bureau does not have five-digit ZIP Code information in its Master Address File. ZCTAs do not precisely depict ZIP Code delivery areas, and do not include all ZIP Codes used for mail delivery. The U.S. Census Bureau has established ZCTAs as a new geographic entity similar to, but replacing, data tabulations for ZIP Codes undertaken in conjunction with the 1990 and earlier censuses.
Under a federal program called "Conservation Reserve Program" (CRP), the USDA pays individual farmers for not cultivating their farms. With the recent worldwide rise in crop prices, and under pressure from the Farm lobby, the USDA is considering releasing such fallow land for raising crops. The poly shapefile shows total payments by county made to individual farmers under the CRP in the 4th quarter of 2007. Under CRP, farmers in 1,752 counties in the lower 48 states received a total of over $552 million in the 4th quarter of 2007. The top five counties during this period were: Ross, MN ($798,017) Bradford, PA ($796,014) Umatilla, OR ($666,257) Cheyenne, NE ($581,988) Fayette, OH ($533,732)
This dataset explore Household Internet use by location of access and province in Canada. Note: The tables of the Household Internet survey (HIUS) available from 1997 to 2003 are replaced by the tables of the Canadian Internet use survey (CIUS) beginning with 2005. The unit surveyed is now the individual rather than the household. Only adults aged 18 years and over were surveyed. Source: Statistics Canada, CANSIM, table (for fee) 358-0002. Last modified: 2005-02-18.
This dataset explores Household Internet use by location of access and province, in Canada. Note: The tables of the Household Internet survey (HIUS) available from 1997 to 2003 are replaced by the tables of the Canadian Internet use survey (CIUS) beginning with 2005. The unit surveyed is now the individual rather than the household. Only adults aged 18 years and over were surveyed. Source: Statistics Canada, CANSIM, table (for fee) 358-0002. Last modified: 2005-02-18.
This dataset explores Household Internet use by location of access and province, in Canada. Note: The tables of the Household Internet survey (HIUS) available from 1997 to 2003 are replaced by the tables of the Canadian Internet use survey (CIUS) beginning with 2005. The unit surveyed is now the individual rather than the household. Only adults aged 18 years and over were surveyed. Source: Statistics Canada, CANSIM, table (for fee) 358-0002. Last modified: 2005-02-18.
Under a federal program called "Conservation Reserve Program" (CRP), the USDA pays individual farmers for not cultivating their farms. With the recent worldwide rise in crop prices, and under pressure from the Farm lobby, the USDA is considering releasing such fallow land for raising crops. The poly shapefile shows total payments by county made to individual farmers under the CRP in 2007. Farmers in 1,701 counties out of 3,109 in the lower 48 states received more than $35.9 million under the CRP program. The top five counties in the 3rd quarter of 2007 were: Umatilla, OR ($861,886) Morrow, OR ($684,117) Moreohouse, LA ($460,486) Whitman, WA ($417,355) Susquehenna, PA ($376,494) Average county payment was $21,131. Look for other quarterly data for 2007 and for the year on Finder! by using the keyword "Agriculture".
This dataset explores Household Internet use by location of access and province, in Canada. Note: The tables of the Household Internet survey (HIUS) available from 1997 to 2003 are replaced by the tables of the Canadian Internet use survey (CIUS) beginning with 2005. The unit surveyed is now the individual rather than the household. Only adults aged 18 years and over were surveyed. Source: Statistics Canada, CANSIM, table (for fee) 358-0002. Last modified: 2005-02-18.
This dataset explores Household Internet use by location of access and province, in Canada. Note: The tables of the Household Internet survey (HIUS) available from 1997 to 2003 are replaced by the tables of the Canadian Internet use survey (CIUS) beginning with 2005. The unit surveyed is now the individual rather than the household. Only adults aged 18 years and over were surveyed. Source: Statistics Canada, CANSIM, table (for fee) 358-0002. Last modified: 2005-02-18.
Under a federal program called "Conservation Reserve Program" (CRP), the USDA pays individual farmers for not cultivating their farms. With the recent worldwide rise in crop prices, and under pressure from the Farm lobby, the USDA is considering releasing such fallow land for raising crops. The poly shapefile shows total payments by county made to individual farmers under the CRP in 2007. Farmers in 1,663 counties in the lower 48 state received a total of $113.87 million under the CRP for not cultivating their farms. The top five counties in terms of CRP amounts are: Chenango, NY ($360,333) Yolo, CA ($325,590) Big Horn, MT ($317,757) Logan, OH ($313,097) Wash D.C. ($311,610) Average amount per county was $22,290. Search for other quarters data and annul data with the keyword "Agriculture".
Under a federal program called "Conservation Reserve Program" (CRP), the USDA pays individual farmers for not cultivating their farms. With the recent worldwide rise in crop prices, and under pressure from the Farm lobby, the USDA is considering releasing such fallow land for raising crops. The poly shapefile shows total payments by county made to individual farmers under the CRP in 2007. Farmers in 2,620 counties out of 3,109 in the lower 48 states received a total of $1.744 billion under the CRP for not cultivating their farms. The top five counties in terms of CRP fudnds are: Whitman, WA ($12,523,739) Hill, MT ($11,629,546) Chouteau, MT ($10,848,571) Adams, WA ($10,719,423) Weld, CO ($9,034,464) Avg payment per county was: $665,751. Eleswhere on Finder! you may look for data for the other three quarter of 2007 and for entire year 2007. Compared to first quarters of 2007, the amounts paid are much less during the other three quarters.
Location of AT&T Stores in the US
The poly shapefile shows at the county level, the number and percent of census tracts that are identified by GSE's (Govt Sponsored Entities such as Fannie Mae and Freedie Mac) as being underserved in terms of mortgage credit. In 2004, there were 1,531 counties out of 3,111 in the lower 48 state that were identified as 100% "Underserved", i.e., their incomes were less than 120% of the median income of the MSA and minority population was more than 30%, or they consisted of poor neighborhoods that had incomes less than 90% of the MSA within which these were located. GSE (Govt Sponsored Enterprises such as Fannie Mae and Freddie Mac buy/backup conventional mortgages. Their total investments exceed half trillion $s. By law these entities have to buy mortgages from certain neighborhoods that have been identified as mortgage credit "underserved" areas. The aim is to buy/backup mortgages from areas (census tracts) that have incomes that are less than 120% of the median income at the MSA level and whose minority population is more than 30% of the total. Another qualifier used is where median income is 90% or less than MSA income leveles. By buying mortgages from such areas, the GSEs provide incentive to private lenders to lend to poor/minority customers who would otherwise would not be eligible for mortgage. Search similar data for other years (2005, 2006 and 2007) on Finder! by using keywords "Housing Sector". There were 183 counties that had the dubious distinction of being "underserved" for each of the year, from 2004 through 2007.
The poly shapefile shows at the county level, the number and percent of census tracts that are identified by GSE's (Govt Sponsored Enterprise) such as Fannie Mae and Freedie Mac) as being underserved in terms of mortgage credit. In 2005, there were 813 counties out of 3,111 in the lower 48 state that were identified as 100% "Underserved", i.e., their incomes were less than 120% of the median income of the MSA and minority population was more than 30%, or they consisted of poor neighborhoods that had incomes less than 90% of the MSA within which these were located. GSEs buy/backup conventional mortgages. Their total investments exceed half trillion $s. By law these entities have to buy mortgages from certain neighborhoods that have been identified as mortgage credit "underserved" areas. The aim is to buy/backup mortgages from areas (census tracts) that have incomes that are less than 120% of the median income at the MSA level and whose minority population is more than 30% of the total. Another qualifier used is where median income is 90% or less than MSA income leveles. By buying mortgages from such areas, the GSEs provide incentive to private lenders to lend to poor/minority customers who would otherwise would not be eligible for mortgage. Search similar data for other years (2004, 2006 and 2007) on Finder! by using keywords "GSE" or "Govt Sponsored Enterprises". There were 183 counties that had the dubious distinction of being "underserved" for each of the year, from 2004 through 2007.
The poly shapefile shows at the county level, the number and percent of census tracts that are identified by GSE's (Govt Sponsored Enterprise) such as Fannie Mae and Freddie Mac) as being underserved in terms of mortgage credit. In 2004, there were 1,531 counties out of 3,111 in the lower 48 state that were identified as 100% "Underserved", i.e., their incomes were less than 120% of the median income of the MSA and minority population was more than 30%, or they consisted of poor neighborhoods that had incomes less than 90% of the MSA within which these were located. GSEs buy/backup conventional mortgages. Their total investments exceed half trillion $s. By law these entities have to buy mortgages from certain neighborhoods that have been identified as mortgage credit "underserved" areas. The aim is to buy/backup mortgages from areas (census tracts) that have incomes that are less than 120% of the median income at the MSA level and whose minority population is more than 30% of the total. Another qualifier used is where median income is 90% or less than MSA income leveles. By buying mortgages from such areas, the GSEs provide incentive to private lenders to lend to poor/minority customers who would otherwise would not be eligible for mortgage. Search similar data for other years (2004, 2005 and 2007) on Finder! by using keywords "GSE" or "Govt Sponsored Enterprises". There were 183 counties that had the dubious distinction of being "underserved" for each of the year, from 2004 through 2007.
The poly shapefile shows at the county level, the number and percent of census tracts that are identified by GSE's (Govt Sponsored Enterprise) such as Fannie Mae and Freddie Mac) as being underserved in terms of mortgage credit. In 2007, there were 832 counties out of 3,111 in the lower 48 state that were identified as 100% "Underserved", i.e., their incomes were less than 120% of the median income of the MSA and minority population was more than 30%, or they consisted of poor neighborhoods that had incomes less than 90% of the MSA within which these were located. GSEs buy/backup conventional mortgages. Their total investments exceed half trillion $s. By law these entities have to buy mortgages from certain neighborhoods that have been identified as mortgage credit "underserved" areas. The aim is to buy/backup mortgages from areas (census tracts) that have incomes that are less than 120% of the median income at the MSA level and whose minority population is more than 30% of the total. Another qualifier used is where median income is 90% or less than MSA income leveles. By buying mortgages from such areas, the GSEs provide incentive to private lenders to lend to poor/minority customers who would otherwise would not be eligible for mortgage. Search similar data for other years (2005, 2006 and 2007) on Finder! by using keywords "GSE" or "Govt Sponsored Enterprises". There were 183 counties that had the dubious distinction of being "underserved" for each of the year, from 2004 through 2007.
The poly shapefile shows at the county level, the number and percent of census tracts that are identified by GSE's (Govt Sponsored Enterprise) such as Fannie Mae and Freddie Mac) as being underserved in terms of mortgage credit. The data is for years 2004 through 2007. In 2004 there over nearly half the counties that were considered to be "underserved", however by 2005 the number had gone down to half of that and then for 2006 and 2007, there was no change. If one considers all four years data, there were only 183 out of 3,111 counties in the lower 48 states that did not fall under "underserved" areas category. GSEs buy/backup conventional mortgages. Their total investments exceed half trillion $s. By law these entities have to buy mortgages from certain neighborhoods that have been identified as mortgage credit "underserved" areas. The aim is to buy/backup mortgages from areas (census tracts) that have incomes that are less than 120% of the median income at the MSA level and whose minority population is more than 30% of the total. Another qualifier used is where median income is 90% or less than MSA income leveles. By buying mortgages from such areas, the GSEs provide incentive to private lenders to lend to poor/minority customers who would otherwise would not be eligible for mortgage. Search similar data for other years (2004, 2005, 2006 and 2007) on Finder! by using keywords "GSE" or "Govt Sponsored Enterprises".
The poly shapefile shows at the county level, the number and percent of census tracts that are identified by GSE's (Govt Sponsored Enterprise) such as Fannie Mae and Freddie Mac) as being underserved in terms of mortgage credit. In 2008, there were 822 counties with 3,103 census-tracts out of 3,111 countie in the lower 48 state that were identified as 100% "Underserved", i.e., their incomes were less than 120% of the median income of the MSA and minority population was more than 30%, or they consisted of poor neighborhoods that had incomes less than 90% of the MSA within which these were located. Valencia, Cibola and Rio Arriba of New Mexico were the three top counties with highest number of census tracts designated as underserved. GSEs buy/backup conventional mortgages. Their total investments exceed half trillion $s. By law these entities have to buy mortgages from certain neighborhoods that have been identified as mortgage credit "underserved" areas. The aim is to buy/backup mortgages from areas (census tracts) that have incomes that are less than 120% of the median income at the MSA level and whose minority population is more than 30% of the total. Another qualifier used is where median income is 90% or less than MSA income leveles. By buying mortgages from such areas, the GSEs provide incentive to private lenders to lend to poor/minority customers who would otherwise would not be eligible for mortgage. Search similar data for other years (2003, 2004, 2005, 2006 and 2007) on Finder! by using keywords "GSE" or "Govt Sponsored Enterprises". There were 183 counties that had the dubious distinction of being "underserved" for each of the year, from 2004 through 2007.
The poly shapefile shows at the county level, the number and percent of census tracts that are identified by GSE's (Govt Sponsored Enterprise) such as Fannie Mae and Freddie Mac) as being underserved in terms of mortgage credit. In 2003, there were 1,528 counties with 8,318 census tracts out of 3,111 counties in the lower 48 state that were identified as 100% "Underserved", i.e., their incomes were less than 120% of the median income of the MSA and minority population was more than 30%, or they consisted of poor neighborhoods that had incomes less than 90% of the MSA within which these were located. The top five counties with the highest number of census tracts declared as "Underserved" are: 1. Pinal, AZ (40) 2. Navajo, AZ (36) 3. Imperial, CA (33) 4. San Juan, NM (31) 5. McKinley, NM (31). GSEs buy/backup conventional mortgages. Their total investments exceed half trillion $s. By law these entities have to buy mortgages from certain neighborhoods that have been identified as mortgage credit "underserved" areas. The aim is to buy/backup mortgages from areas (census tracts) that have incomes that are less than 120% of the median income at the MSA level and whose minority population is more than 30% of the total. Another qualifier used is where median income is 90% or less than MSA income levels. By buying mortgages from such areas, the GSEs provide incentive to private lenders to lend to poor/minority customers who would otherwise would not be eligible for mortgage. Search similar data for other years (2004, 2005, 2006, 2007 and 2008) on Finder! by using keywords "GSE" or "Govt Sponsored Enterprises". There were 183 counties that had the dubious distinction of being "underserved" for each of the year, from 2004 through 2007.
This coverage represents year MODIS fire detections for the 7 day period specified for the geographic area covering the conterminous United States, Alaska, Hawaii, Canada and northern Mexico. The detections are obtained using both TERRA MODIS and AQUA MODIS data are collected and processed as a cooperative effort between the USDA Forest Service Remote Sensing Application Center, NASA-Goddard Space Flight Center and the University of Maryland. These fire detection data are collected for the USDA Forest Service MODIS Active Fire Mapping Program (http://activefiremaps.fs.fed.us). These data are intended to provide a synoptic view of active fires for the past and present over the specified time period. These data are collected at a spatial resolution of 1 kilometer and therefore are only intended for geographic display and analysis at the national and regional levels. No responsibility is assumed by the USDA Forest Service in the use of these data.
This datasets displays the locations of all recorded earthquakes of a magnitude of 1 or greater around the world from the period of 7.7.08 to 7.14.08. The findings are from the US Geological Survey (USGS). Earthquake information is extracted from a merged catalog of earthquakes located by the USGS and contributing networks. Earthquakes will be broadcast within a few minutes for California events and within 30-minutes for world-wide events.
This dataset displays the inmate populations for all the Federal Prisons throughout the United States on 7.10.08. This weekly Population Report can be found on the Bureau of Prisons website at bop.gov. These facilities are positioned by their lat/lon and this dataset is updated on a weekly basis.
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
This dataset displays the locations of the hometowns of all the 2008 MLB All-Stars. It shows where all the current best players in the game grew up. By looking at the points on a map you can see where "hotspots" of talented baseball player hometowns are located. For more information go to mlb.com.
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
This dataset is compiled from the Mexican Population and Household Census from 2005 (Conteo de Poblacion y Vivienda 2005). The data is at municipal level (of almost 2,000 municipalities) and is comprised of the populations of municipalities based on age, gender and place of residence in 2000 including international residence. The data have been broken up into 10 dataset by age group so that the file sizes would be smaller. Where there were inconsistencies in municipality boundaries between the Mexican data and the available shapefile, the data have been combined in the appropriate fashion. The polygons that contain data from more than one municipality are labeled with all municipality names. Values of -1 represent no available data.
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
This dataset is compiled from the Mexican Population and Household Census from 2005 (Conteo de Poblacion y Vivienda 2005). The data is at municipal level (of almost 2,000 municipalities) and is comprised of the populations of municipalities based on age, gender and place of residence in 2000 including international residence. The data have been broken up into 10 dataset by age group so that the file sizes would be smaller. Where there were inconsistencies in municipality boundaries between the Mexican data and the available shapefile, the data have been combined in the appropriate fashion. The polygons that contain data from more than one municipality are labeled with all municipality names. Values of -1 represent no available data.
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
This dataset displays the industry employment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census.
This dataset is compiled from the Mexican Population and Household Census from 2005 (Conteo de Poblacion y Vivienda 2005). The data is at municipal level (of almost 2,000 municipalities) and is comprised of the populations of municipalities based on age, gender and place of residence in 2000 including international residence. The data have been broken up into 10 dataset by age group so that the file sizes would be smaller. Where there were inconsistencies in municipality boundaries between the Mexican data and the available shapefile, the data have been combined in the appropriate fashion. The polygons that contain data from more than one municipality are labeled with all municipality names. Values of -1 represent no available data.
This dataset displays the locations of the hometowns of all the 2008 NFL Pro-Bowlers. It shows where all the current best players in the game grew up. By looking at the points on a map you can see where "hotspots" of talented football player hometowns are located. For more information go to nfl.com.
This dataset displays the highest level of educational attainment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census. 'Highest certificate, diploma or degree' refers to the highest certificate, diploma or degree completed based on a hierarchy which is generally related to the amount of time spent 'in-class.' For postsecondary completers, a university education is considered to be a higher level of schooling than a college education, while a college education is considered to be a higher level of education than in the trades. Although some trades requirements may take as long or longer to complete than a given college or university program, the majority of time is spent in on-the-job paid training and less time is spent in the classroom.
This dataset displays the highest level of educational attainment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census. 'Highest certificate, diploma or degree' refers to the highest certificate, diploma or degree completed based on a hierarchy which is generally related to the amount of time spent 'in-class.' For postsecondary completers, a university education is considered to be a higher level of schooling than a college education, while a college education is considered to be a higher level of education than in the trades. Although some trades requirements may take as long or longer to complete than a given college or university program, the majority of time is spent in on-the-job paid training and less time is spent in the classroom.
This dataset is compiled from the Mexican Population and Household Census from 2005 (Conteo de Poblacion y Vivienda 2005). The data is at municipal level (of almost 2,000 municipalities) and is comprised of the populations of municipalities based on age, gender and place of residence in 2000 including international residence. The data have been broken up into 10 dataset by age group so that the file sizes would be smaller. Where there were inconsistencies in municipality boundaries between the Mexican data and the available shapefile, the data have been combined in the appropriate fashion. The polygons that contain data from more than one municipality are labeled with all municipality names. Values of -1 represent no available data.
This dataset displays the highest level of educational attainment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census. 'Highest certificate, diploma or degree' refers to the highest certificate, diploma or degree completed based on a hierarchy which is generally related to the amount of time spent 'in-class.' For postsecondary completers, a university education is considered to be a higher level of schooling than a college education, while a college education is considered to be a higher level of education than in the trades. Although some trades requirements may take as long or longer to complete than a given college or university program, the majority of time is spent in on-the-job paid training and less time is spent in the classroom.
This dataset displays the highest level of educational attainment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census. 'Highest certificate, diploma or degree' refers to the highest certificate, diploma or degree completed based on a hierarchy which is generally related to the amount of time spent 'in-class.' For postsecondary completers, a university education is considered to be a higher level of schooling than a college education, while a college education is considered to be a higher level of education than in the trades. Although some trades requirements may take as long or longer to complete than a given college or university program, the majority of time is spent in on-the-job paid training and less time is spent in the classroom.
This dataset is compiled from the Mexican Population and Household Census from 2005 (Conteo de Poblacion y Vivienda 2005). The data is at municipal level (of almost 2,000 municipalities) and is comprised of the populations of municipalities based on age, gender and place of residence in 2000 including international residence. The data have been broken up into 10 dataset by age group so that the file sizes would be smaller. Where there were inconsistencies in municipality boundaries between the Mexican data and the available shapefile, the data have been combined in the appropriate fashion. The polygons that contain data from more than one municipality are labeled with all municipality names. Values of -1 represent no available data.
This dataset displays the highest level of educational attainment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census. 'Highest certificate, diploma or degree' refers to the highest certificate, diploma or degree completed based on a hierarchy which is generally related to the amount of time spent 'in-class.' For postsecondary completers, a university education is considered to be a higher level of schooling than a college education, while a college education is considered to be a higher level of education than in the trades. Although some trades requirements may take as long or longer to complete than a given college or university program, the majority of time is spent in on-the-job paid training and less time is spent in the classroom.
This dataset displays the highest level of educational attainment by age groups for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census. 'Highest certificate, diploma or degree' refers to the highest certificate, diploma or degree completed based on a hierarchy which is generally related to the amount of time spent 'in-class.' For postsecondary completers, a university education is considered to be a higher level of schooling than a college education, while a college education is considered to be a higher level of education than in the trades. Although some trades requirements may take as long or longer to complete than a given college or university program, the majority of time is spent in on-the-job paid training and less time is spent in the classroom.
This dataset displays the locations of the hometowns of all the 2008 NBA All-Stars. It shows where all the current best players in the game grew up. By looking at the points on a map you can see where "hotspots" of talented basketball player hometowns are located. For more information go to nba.com.
The poly shapefile shows quarterly HPI (Housing price Index) data for 358 metropolitan areas (MSA) for Year 2000. The original data going back to 1975 for some MSAs and 1986 onwards for most of the MSAs, was downloaded from Office of Federal Housing Enterprise Oversight of HUD, filtered and tabulated to extract quarterly HPIs by MSAs. According to OFHEO, "The HPI is a weighted, repeat-sales index, meaning that it measures average price changes in repeat sales or refinancings on the same properties. This information is obtained by reviewing repeat mortgage transactions on single-family properties whose mortgages have been purchased or securitized by Fannie Mae or Freddie Mac since January 1975." HPI is an index as widely popular as the S&P/Case-Schiller index on housing prices. Every month, quarter and year OFHEO publishes updated and cumulative HPI at the MSA level for single-family housing, its a broad indicator of price of single family homes in different MSAs and the time series data may be used to gauge how housing prices change geographically and over time. For details on how its computed, go to http://www.ofheo.gov/hpi.aspx?Nav=60 OFHEO is an independent entity that works to ensure "...the capital adequacy and financial safety and soundness of two housing government-sponsored enterprises (GSEs) -- Fannie Mae and Freddie Mac. Fannie Mae and Freddie Mac are the nation's largest housing finance institutions."
This dataset displays the locations of the hometowns of all the 2008 NHL All-Stars. It shows where all the current best players in the game grew up. By looking at the points on a map you can see where "hotspots" of talented hockey player hometowns are located. For more information go to nhl.com.
The poly shapefile shows quarterly HPI (Housing price Index) data for 358 metropolitan areas (MSA) for Year 2001. The original data going back to 1975 for some MSAs and 1986 onwards for most of the MSAs, was downloaded from Office of Federal Housing Enterprise Oversight of HUD, filtered and tabulated to extract quarterly HPIs by MSAs. Elsewhere on Finder! you may search for HPI data by year and quartes using the keyword "hpi", "gse", "Fannie Mae", "Freddie Mac". According to OFHEO, "The HPI is a weighted, repeat-sales index, meaning that it measures average price changes in repeat sales or refinancings on the same properties. This information is obtained by reviewing repeat mortgage transactions on single-family properties whose mortgages have been purchased or securitized by Fannie Mae or Freddie Mac since January 1975." HPI is an index as widely popular as the S&P/Case-Schiller index on housing prices. Every month, quarter and year OFHEO publishes updated and cumulative HPI at the MSA level for single-family housing, its a broad indicator of price of single family homes in different MSAs and the time series data may be used to gauge how housing prices change geographically and over time. For details on how its computed, go to http://www.ofheo.gov/hpi.aspx?Nav=60 OFHEO is an independent entity that works to ensure "...the capital adequacy and financial safety and soundness of two housing government-sponsored enterprises (GSEs) -- Fannie Mae and Freddie Mac. Fannie Mae and Freddie Mac are the nation's largest housing finance institutions."
The poly shapefile shows quarterly HPI (Housing price Index) data for 358 metropolitan areas (MSA) for Year 2002. The original data going back to 1975 for some MSAs and 1986 onwards for most of the MSAs, was downloaded from Office of Federal Housing Enterprise Oversight of HUD, filtered and tabulated to extract quarterly HPIs by MSAs. Elsewhere on Finder! you may search for HPI data by year and quartes using the keyword "hpi", gse, Fannie Mae, Freddie Mac According to OFHEO, "The HPI is a weighted, repeat-sales index, meaning that it measures average price changes in repeat sales or refinancings on the same properties. This information is obtained by reviewing repeat mortgage transactions on single-family properties whose mortgages have been purchased or securitized by Fannie Mae or Freddie Mac since January 1975." HPI is an index as widely popular as the S&P/Case-Schiller index on housing prices. Every month, quarter and year OFHEO publishes updated and cumulative HPI at the MSA level for single-family housing, its a broad indicator of price of single family homes in different MSAs and the time series data may be used to gauge how housing prices change geographically and over time. For details on how its computed, go to http://www.ofheo.gov/hpi.aspx?Nav=60 OFHEO is an independent entity that works to ensure "...the capital adequacy and financial safety and soundness of two housing government-sponsored enterprises (GSEs) -- Fannie Mae and Freddie Mac. Fannie Mae and Freddie Mac are the nation's largest housing finance institutions."
The poly shapefile shows quarterly HPI (Housing price Index) data for 358 metropolitan areas (MSA) for Year 2003. The original data going back to 1975 for some MSAs and 1986 onwards for most of the MSAs, was downloaded from Office of Federal Housing Enterprise Oversight of HUD, filtered and tabulated to extract quarterly HPIs by MSAs. Elsewhere on Finder! you may search for HPI data by year and quartes using the keyword "hpi", gse, Fannie Mae, Freddie Mac According to OFHEO, "The HPI is a weighted, repeat-sales index, meaning that it measures average price changes in repeat sales or refinancings on the same properties. This information is obtained by reviewing repeat mortgage transactions on single-family properties whose mortgages have been purchased or securitized by Fannie Mae or Freddie Mac since January 1975." HPI is an index as widely popular as the S&P/Case-Schiller index on housing prices. Every month, quarter and year OFHEO publishes updated and cumulative HPI at the MSA level for single-family housing, its a broad indicator of price of single family homes in different MSAs and the time series data may be used to gauge how housing prices change geographically and over time. For details on how its computed, go to http://www.ofheo.gov/hpi.aspx?Nav=60 OFHEO is an independent entity that works to ensure "...the capital adequacy and financial safety and soundness of two housing government-sponsored enterprises (GSEs) -- Fannie Mae and Freddie Mac. Fannie Mae and Freddie Mac are the nation's largest housing finance institutions."
The poly shapefile shows quarterly HPI (Housing price Index) data for 358 metropolitan areas (MSA) for Year 2004. The original data going back to 1975 for some MSAs and 1986 onwards for most of the MSAs, was downloaded from Office of Federal Housing Enterprise Oversight of HUD, filtered and tabulated to extract quarterly HPIs by MSAs. Elsewhere on Finder! you may search for HPI data by year and quartes using the keyword "hpi", gse, Fannie Mae, Freddie Mac According to OFHEO, "The HPI is a weighted, repeat-sales index, meaning that it measures average price changes in repeat sales or refinancings on the same properties. This information is obtained by reviewing repeat mortgage transactions on single-family properties whose mortgages have been purchased or securitized by Fannie Mae or Freddie Mac since January 1975." HPI is an index as widely popular as the S&P/Case-Schiller index on housing prices. Every month, quarter and year OFHEO publishes updated and cumulative HPI at the MSA level for single-family housing, its a broad indicator of price of single family homes in different MSAs and the time series data may be used to gauge how housing prices change geographically and over time. For details on how its computed, go to http://www.ofheo.gov/hpi.aspx?Nav=60 OFHEO is an independent entity that works to ensure "...the capital adequacy and financial safety and soundness of two housing government-sponsored enterprises (GSEs) -- Fannie Mae and Freddie Mac. Fannie Mae and Freddie Mac are the nation's largest housing finance institutions."
The poly shapefile shows quarterly HPI (Housing price Index) data for 358 metropolitan areas (MSA) for Year 2005. The original data going back to 1975 for some MSAs and 1986 onwards for most of the MSAs, was downloaded from Office of Federal Housing Enterprise Oversight of HUD, filtered and tabulated to extract quarterly HPIs by MSAs. Elsewhere on Finder! you may search for HPI data by year and quartes using the keyword "hpi", gse, Fannie Mae, Freddie Mac According to OFHEO, "The HPI is a weighted, repeat-sales index, meaning that it measures average price changes in repeat sales or refinancings on the same properties. This information is obtained by reviewing repeat mortgage transactions on single-family properties whose mortgages have been purchased or securitized by Fannie Mae or Freddie Mac since January 1975." HPI is an index as widely popular as the S&P/Case-Schiller index on housing prices. Every month, quarter and year OFHEO publishes updated and cumulative HPI at the MSA level for single-family housing, its a broad indicator of price of single family homes in different MSAs and the time series data may be used to gauge how housing prices change geographically and over time. For details on how its computed, go to http://www.ofheo.gov/hpi.aspx?Nav=60 OFHEO is an independent entity that works to ensure "...the capital adequacy and financial safety and soundness of two housing government-sponsored enterprises (GSEs) -- Fannie Mae and Freddie Mac. Fannie Mae and Freddie Mac are the nation's largest housing finance institutions."
The poly shapefile shows quarterly HPI (Housing price Index) data for 358 metropolitan areas (MSA) for Year 2006. The original data going back to 1975 for some MSAs and 1986 onwards for most of the MSAs, was downloaded from Office of Federal Housing Enterprise Oversight of HUD, filtered and tabulated to extract quarterly HPIs by MSAs. Elsewhere on Finder! you may search for HPI data by year and quartes using the keyword "hpi", gse, Fannie Mae, Freddie Mac According to OFHEO, "The HPI is a weighted, repeat-sales index, meaning that it measures average price changes in repeat sales or refinancings on the same properties. This information is obtained by reviewing repeat mortgage transactions on single-family properties whose mortgages have been purchased or securitized by Fannie Mae or Freddie Mac since January 1975." HPI is an index as widely popular as the S&P/Case-Schiller index on housing prices. Every month, quarter and year OFHEO publishes updated and cumulative HPI at the MSA level for single-family housing, its a broad indicator of price of single family homes in different MSAs and the time series data may be used to gauge how housing prices change geographically and over time. For details on how its computed, go to http://www.ofheo.gov/hpi.aspx?Nav=60 OFHEO is an independent entity that works to ensure "...the capital adequacy and financial safety and soundness of two housing government-sponsored enterprises (GSEs) -- Fannie Mae and Freddie Mac. Fannie Mae and Freddie Mac are the nation's largest housing finance institutions."
The poly shapefile shows quarterly HPI (Housing price Index) data for 358 metropolitan areas (MSA) for Year 2007. The original data going back to 1975 for some MSAs and 1986 onwards for most of the MSAs, was downloaded from Office of Federal Housing Enterprise Oversight of HUD, filtered and tabulated to extract quarterly HPIs by MSAs. Elsewhere on Finder! you may search for HPI data by year and quartes using the keyword "hpi", gse, Fannie Mae, Freddie Mac According to OFHEO, "The HPI is a weighted, repeat-sales index, meaning that it measures average price changes in repeat sales or refinancings on the same properties. This information is obtained by reviewing repeat mortgage transactions on single-family properties whose mortgages have been purchased or securitized by Fannie Mae or Freddie Mac since January 1975." HPI is an index as widely popular as the S&P/Case-Schiller index on housing prices. Every month, quarter and year OFHEO publishes updated and cumulative HPI at the MSA level for single-family housing, its a broad indicator of price of single family homes in different MSAs and the time series data may be used to gauge how housing prices change geographically and over time. For details on how its computed, go to http://www.ofheo.gov/hpi.aspx?Nav=60 OFHEO is an independent entity that works to ensure "...the capital adequacy and financial safety and soundness of two housing government-sponsored enterprises (GSEs) -- Fannie Mae and Freddie Mac. Fannie Mae and Freddie Mac are the nation's largest housing finance institutions."
This dataset displays visible minority counts for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census. The Employment Equity Act defines visible minorities as 'persons, other than Aboriginal peoples, who are non-Caucasian in race or non-white in colour.'
This dataset displays visible minority counts for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census. The Employment Equity Act defines visible minorities as 'persons, other than Aboriginal peoples, who are non-Caucasian in race or non-white in colour.'
This dataset is compiled from the Mexican Population and Household Census from 2005 (Conteo de Poblacion y Vivienda 2005). The data is at municipal level (of almost 2,000 municipalities) and is comprised of the populations of municipalities based on age, gender and place of residence in 2000 including international residence. The data have been broken up into 10 dataset by age group so that the file sizes would be smaller. Where there were inconsistencies in municipality boundaries between the Mexican data and the available shapefile, the data have been combined in the appropriate fashion. The polygons that contain data from more than one municipality are labeled with all municipality names. Values of -1 represent no available data.
This dataset locates all dams in Oregon. Purpose: Depict the approximate location of dams in the state of Oregon that the State has statutory authority over. These are dams that are greater than or equal to 10-feet in height and store greater than or equal to 9.2-acre-feet of water behind them. Supplemental_Information Procedures_Used Dams are located by John Falk to the nearest second of latitude and longitude on USGS 1:24,000-scale quad maps. This information is stored in a format compatible with the National Dams Inventory database structure. Bob Harmon geo-coded the dam locations from a copy of Johns database in ArcView 3.0a and translated the locations into a shapefile. The shapefile was converted into an ARC/INFO coverage and projected into the Oregon State Lambert Projection in ARC.
This dataset is compiled from the Mexican Population and Household Census from 2005 (Conteo de Poblacion y Vivienda 2005). The data is at municipal level (of almost 2,000 municipalities) and is comprised of the populations of municipalities based on age, gender and place of residence in 2000 including international residence. The data have been broken up into 10 dataset by age group so that the file sizes would be smaller. Where there were inconsistencies in municipality boundaries between the Mexican data and the available shapefile, the data have been combined in the appropriate fashion. The polygons that contain data from more than one municipality are labeled with all municipality names. Values of -1 represent no available data.
This map includes Oregon Department of Environmental Quality (DEQ) and Oregon Department of Human Services (DHS) Drinking Water Program Source Water Assessment results for community and non-transient non-community public water systems (PWS) for surface water systems that were active in June 1999 (when Oregon's Source Water Assessment Plan was approved by EPA). This layer was developed in order to spatially reference the watersheds that supply drinking water to surface water intakes for Public Water Systems (PWS) within the state of Oregon. Source water assessments were completed for these PWS's in accordance with the 1996 Amendments to the Safe Drinking Water Act and Oregon's 1999 Source Water Assessment Plan. The original list of PWSs was generated in 1999, however additional PWSs may be added in the future. These source areas should be used in conjunction with the locations of potential contaminant source threats as well as mapped sensitive areas to provide an overall picture of the susceptibility of the drinking water system.
Ecoregions denote areas of general similarity in ecosystems and in the type quality, and quantity of environmental resources. This map depicts revisions and subdivisions of ecoregions that was compiled at a relatively small scale (Omernik 1987). Compilation of this map, performed at the larger 1:250,000 scale, was part of a collaborative project between the United States Environmental Protection Agency, National Health and Environmental Effects Research Laboratory (NHEERL)- Corvallis, OR., the U.S. Forest Service, Natural Resources Conservation Service, Washington State Department of Natural Resources & the Oregon Natural Heritage Program. The ecoregions and subregion are designed to serve as a spatial framework for environmental resource management. The most immediate needs by the states are for developing regulations, biological criteria and water quality standards, and for setting management goals for nonpoint-source pollution. Explanation of the methods used to describe the ecoregions are given in Omernik (1995), Griffith et al. (1994), and Gallan et al. (1989). This map is a draft product of one of a few regional interagency collaborative projects aimed at obtaining consensus between the EPA, the NRCS, and the USFS regarding alignments of ecological regions. The purpose of this data is to assist managers of aquatic and terrestrial resources in understanding the regional patterns of the realistically attainable quality of these resources.
This dataset is compiled from the Mexican Population and Household Census from 2005 (Conteo de Poblacion y Vivienda 2005). The data is at municipal level (of almost 2,000 municipalities) and is comprised of the populations of municipalities based on age, gender and place of residence in 2000 including international residence. The data have been broken up into 10 dataset by age group so that the file sizes would be smaller. Where there were inconsistencies in municipality boundaries between the Mexican data and the available shapefile, the data have been combined in the appropriate fashion. The polygons that contain data from more than one municipality are labeled with all municipality names. Values of -1 represent no available data.
This dataset represents Oregon Historic Timber from 1914. The data comes from the Oregon State University Archives. Visit the citation url's below for more information.
This dataset is compiled from the Mexican Population and Household Census from 2005 (Conteo de Poblacion y Vivienda 2005). The data is at municipal level (of almost 2,000 municipalities) and is comprised of the populations of municipalities based on age, gender and place of residence in 2000 including international residence. The data have been broken up into 10 dataset by age group so that the file sizes would be smaller. Where there were inconsistencies in municipality boundaries between the Mexican data and the available shapefile, the data have been combined in the appropriate fashion. The polygons that contain data from more than one municipality are labeled with all municipality names. Values of -1 represent no available data.
This Data set was downloaded from the Openstreetmaps geofabrik website. If you Download the Shp.zip file for Albania you get 5 shapefiles, including one labeled Nature, which is this file. The file includes information on Parks and Water, including Mikri Prespa Lake. Dataset contains 33 features.
This dataset is compiled from the Mexican Population and Household Census from 2005 (Conteo de Poblacion y Vivienda 2005). The data is at municipal level (of almost 2,000 municipalities) and is comprised of the populations of municipalities based on age, gender and place of residence in 2000 including international residence. The data have been broken up into 10 dataset by age group so that the file sizes would be smaller. Where there were inconsistencies in municipality boundaries between the Mexican data and the available shapefile, the data have been combined in the appropriate fashion. The polygons that contain data from more than one municipality are labeled with all municipality names. Values of -1 represent no available data.
This dataset shows various points of interest in Albania, including restaurants, nightclubs, hotels, places of worship, cafes and art centers. this dataset contains 21 features.
This Data set was downloaded from the openstreetmaps, Geofabrik website and includes information and locatiosn of roads throughout Albania. Data set includes Road names and type. type of road includes information on whether the road is a primary, residential or secondary road, etc.
This dataset displays the housing affordability count for owner and renter housholds for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census. Data presented for private households with household income greater than zero in non-farm, non-reserve private occupied dwellings.
This dataset contains details about waterways in Albania including Canals and Rivers. Dataset includes attributes for type of feature that is represented, name of feature, and width of feature.
This dataset displays the housing affordability count for owner and renter housholds for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census. Data presented for private households with household income greater than zero in non-farm, non-reserve private occupied dwellings.
This dataset was originally created by Randall Sounhein (2000) from the "Heads of Tide for Coastal Streams in Oregon " study conducted by the Department of State Lands in March 1989. All digitization was conducted against 1:24,000 USGS Quads and 1:24,000 Digitial Ortho Quads of 1996 vintage.
This dataset is compiled from the Mexican Population and Household Census from 2005 (Conteo de Poblacion y Vivienda 2005). The data is at municipal level (of almost 2,000 municipalities) and is comprised of the populations of municipalities based on age, gender and place of residence in 2000 including international residence. The data have been broken up into 10 dataset by age group so that the file sizes would be smaller. Where there were inconsistencies in municipality boundaries between the Mexican data and the available shapefile, the data have been combined in the appropriate fashion. The polygons that contain data from more than one municipality are labeled with all municipality names. Values of -1 represent no available data.
This dataset is compiled from the Mexican Population and Household Census from 2005 (Conteo de Poblacion y Vivienda 2005). The data is at municipal level (of almost 2,000 municipalities) and is comprised of the populations of municipalities based on age, gender and place of residence in 2000 including international residence. The data have been broken up into 10 dataset by age group so that the file sizes would be smaller. Where there were inconsistencies in municipality boundaries between the Mexican data and the available shapefile, the data have been combined in the appropriate fashion. The polygons that contain data from more than one municipality are labeled with all municipality names. Values of -1 represent no available data.
The DLG data files derived from the 1:2,000,000-scale maps contain selected base categories of cartographic data in digital form. The data files are derived from the sectional maps of the 1970 National Atlas of the United States of America. The Boundaries category includes boundary information collected in two separate subcategories: (1) Political Boundaries and (2) Administrative Boundaries. The Hydrography data includes data in three separate subcategories: (1) Streams, (2) Water Bodies, and (3) Hypsography (Continental Divide only). The Transportation category of data includes major transportation systems collected in three separate subcategories: (1) Roads and Trails, (2) Railroads, and (3) Cultural Features (airports and Alaska pipeline). Purpose: DLG's depict information about geographic features on or near the surface of the Earth, terrain, and political and administrative units. These data were collected as part of the National Mapping
This dataset is compiled from the Mexican Population and Household Census from 2005 (Conteo de Poblacion y Vivienda 2005). The data is at municipal level (of almost 2,000 municipalities) and is comprised of the populations of municipalities based on age, gender and place of residence in 2000 including international residence. The data have been broken up into 10 dataset by age group so that the file sizes would be smaller. Where there were inconsistencies in municipality boundaries between the Mexican data and the available shapefile, the data have been combined in the appropriate fashion. The polygons that contain data from more than one municipality are labeled with all municipality names. Values of -1 represent no available data.
Abstract: This data contains mileposts on state owned highways. Milepost_2007 depicts the actual physical location of the milepost paddles as determined by highway inventory. Purpose: This GIS base layer can be used for planning purposes and as a reference layer on standard Oregon Department of Transportation (ODOT) city and county map formats.
This dataset is compiled from the Mexican Population and Household Census from 2005 (Conteo de Poblacion y Vivienda 2005). The data is at municipal level (of almost 2,000 municipalities) and is comprised of the populations of municipalities based on age, gender and place of residence in 2000 including international residence. The data have been broken up into 10 dataset by age group so that the file sizes would be smaller. Where there were inconsistencies in municipality boundaries between the Mexican data and the available shapefile, the data have been combined in the appropriate fashion. The polygons that contain data from more than one municipality are labeled with all municipality names. Values of -1 represent no available data.
This geospatial dataset is a hydrologic boundary layer containing nested hydrologic unit boundaries. The standard allows for mapping to the (16-digit) level. The dataset was developed by delineating the boundary lines on 1:24,000 base maps and digitizing the delineated lines. Digital Elevation Model data was used in part of the process to establish preliminary boundaries. This data set consists of geo-referenced digital map data and associated attributes. The hydrologic unit code attached to each delineated polygon is linked to the attribute data, which can contain information on area in acres, non-contributing area, state(s) the HU falls within, name for 7th and 8th level HU, 5th and 6th level code for downstream hydrologic unit, and hydrologic unit modifications. Each line has attributes that describe the HU level (1-8), originating source for that line and a metadata ID number that links the line to its associated metadata file. Purpose: The watershed and subwatershed hydrologic unit boundaries provide a uniquely identified and uniform method of subdividing large drainage areas. These smaller sized hydrologic units (up to 250,000 acres) are useful in many programs supported by the NRCS and others. This data set is intended as a tool for water-resource management and planning activities, particularly for site-specific and localized studies, which require the amount of detail provided by a large-scale map.
This polygon theme contains a spatial representation of the 303(d) list and should be used in conjunction with the actual 303(d) list. The 303(d) list attribute information included in the GIS attributes table is generalized and is described below. Purpose: This layer was developed in order to portray spatially some elements of the 303(d) list and to assist in the 303(d) list development process
This polygon theme contains a spatial representation of the 303(d) list and should be used in conjunction with the actual 303(d) list. The 303(d) list attribute information included in the GIS attributes table is generalized and is described below. Purpose: This layer was developed in order to portray spatially some elements of the 303(d) list and to assist in the 303(d) list development process
GIS representation of Oregons Water Quality Limited Streams (303(d) List) Purpose: To assist in working with the List. Is not meant to replace the List. Supplemental_Information: Features were selected from the USGS River Reach file based on the List were added
This theme delineates BLM owned lands in the state of Oregon. It was derived from the 1:100000 Ownership coverage for the state of Oregon. The ownership coverage was created from a series of paper source maps ranging in date from 1973 to 1984. (See the ownership metadata for the exact age of each sheet.) Purpose: This theme was created to ease the locating of BLM lands in Oregon.
This theme is a one degree latitude and longitude graticule for the state of Oregon. Purpose: This theme was generated in order to create a 1 degree by 1 degree gradicule for the state of Oregon.
This data set shows the locations and outlines of over 2,000 buildings in Austria, many of which are public museums, and government buildings. Data was uploaded as a polygon shapefile, not all buildings are labeled, but many are labeled by name.
This dataset shows natural areas in Austria. Natural Areas consist of water, riverbanks, parks, forests, and other feature types. This dataset has almost 4000 features for various natural areas.
This dataset represents the 1990 State of Oregon Legislative Districts. The Oregon State Service Center for Geographic Information Systems (SSCGIS) obtained a list of US Census blocks for each house District. The list was used to "delineate" legislative districts from the Census tiger block coverage. Purpose: Intended to delineate 1990 House and Senate Districts in the State of Oregon at 1:100,000 in a digital spatial (GIS) format. Supplemental_Information: Each census block was assigned a House District number based on a list received from the Oregon Secretary of State office. Senate District numbers were assigned based on a list of House districts in each senate district. Water bodies were assigned a value of x99. Each of the blocks was checked for accuracy. Once the blocks were quality checked, Arc/Info was used to dissolve senate and house districts into individual house and senate polygon coverages. The house and senate coverages were combined to get the legis statewide house and senate district coverage.
This is a file of the lines which make up the CTA's public transport system in Chicago.
This data set shows points of interest in Austria. Features included in this data set include, libraries, post offices, places of worship, parking, restaurants, cafes, fuel, parking, police, theaters, cinemas, prisons, universities, camp sites and other public places. there are over 5,000 points of interest included.
Lines which represent the designated bike lanes of chicago.
This data set shows the Rail system of Austria, including rails and trams. attributes include name of the rail, and type of rail. data was downloaded from openstreetmaps geofabrik.
This dataset displays the median earnings figures for full time earners, for all occupations for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census. Data presented for private households with household income greater than zero in non-farm, non-reserve private occupied dwellings.
This data set includes waterways, including rivers streams, aqueducts and canals. Data was found online at the Openstreetmaps Geofabrik site.
This dataset provides the number of persons infected with Salmonella Saintpaul (22 updates from the CDC) in each state throughout June and July of 2008. These cases may have been connected to the consumption of raw tomatoes. The dataset also contains the estimated population for 2007 for each state.
This dataset displays the median earnings figures for full time earners, for all occupations for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census. Data presented for private households with household income greater than zero in non-farm, non-reserve private occupied dwellings.
The Oregon House Districts theme was created by merging blocks from the census 2000 redistricting Blocks theme using the Autobound Redistricting extension. The polygons formed by the merged blocks represents the boundaries of the Oregon State House Districts. The districts were created to delineate Oregon House Districts
This dataset shows almost 20,000 buildings in Belarus. each building is represented as a polygon. There is an attribute for name, however so far the features are only named with numerical values.
The Oregon Senate Districts theme was created by merging blocks from the census 2000 redistricting blocks theme using the Autobound Redistricting extension. The polygons formed by the merged blocks represent the boundaries of the Oregon House districts. Two house districts were than merged to create each Senate District. Purpose: To delineate Oregon House Districts.
This point theme shows the location of populated places in the state of Oregon as derived from the 1:24,000 GNIS theme. Purpose: The purpose of this theme is to delineate the location of populated places in the state of Oregon.
This dataset is an update (as of July 9th 2008)of states in the U.S. Mexico (counties for Florida and Guatemala and Canada) whose tomatoes have been declared safe by the CDC. An outbreak of Salmonella Saintpaul have been connected to the consumption of raw tomatoes.
Natural areas data set includes information about forests, riverbeds, parks, and water in Belarus. There are also attributes for IDs, and names, however very few names are provided. data is shown in polygon format. data was downloaded from the openstreetmaps geofabrik site.
911 Public Safety Answering Point (PSAP) service area boundaries in Oregon According to the National Emergency Number Association (NENA), a Public Safety Answering Point (PSAP) is a facility equipped and staffed to receive 9-1-1 calls. The service area is the geographic area within which a 911 call placed using a landline is answered at the associated PSAP. This dataset only includes primary PSAPs. Secondary PSAPs, backup PSAPs, and wireless PSAPs have been excluded from this dataset. Primary PSAPs receive calls directly, whereas secondary PSAPs receive calls that have been transferred by a primary PSAP. Backup PSAPs provide service in cases where another PSAP is inoperable. Most military bases have their own emergency telephone systems. To connect to such system from within a military base it may be necessary to dial a number other than 9 1 1. Due to the sensitive nature of military installations, TGS did not actively research these systems. If civilian authorities in surrounding areas volunteered information about these systems or if adding a military PSAP was necessary to fill a hole in civilian provided data, TGS included it in this dataset. Otherwise military installations are depicted as being covered by one or more adjoining civilian emergency telephone systems. In some cases areas are covered by more than one PSAP boundary. In these cases, any of the applicable PSAPs may take a 911 call. Where a specific call is routed may depend on how busy the applicable PSAPS are (i.e. load balancing), operational status (i.e. redundancy), or time of date / day of week. If an area does not have 911 service, TGS included that area in the dataset along with the address and phone number of their dispatch center. These are areas where someone must dial a 7 or 10 digit number to get emergency services. These records can be identified by a "Y" in the [NON911EMNO] field. This indicates that dialing 911 inside one of these areas does not connect one with emergency services. This dataset was constructed by gathering information about PSAPs from state level officials. In some cases this was geospatial information, in others it was tabular. This information was supplemented with a list of PSAPs from the Federal Communications Commission (FCC). Each PSAP was researched to verify its tabular information. In cases where the source data was not geospatial, each PSAP was researched to determine its service area in terms of existing boundaries (e.g. city and county boundaries). In some cases existing boundaries had to be modified to reflect coverage areas (e.g. entire county north of Country Road 30). However, there may be cases where minor deviations from existing boundaries are not reflected in this dataset, such as the case where a particular PSAPs coverage area includes an entire county, and the homes and businesses along a road which is partly in another county. Text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. All diacritics (e.g., the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics. Purpose: Homeland Security Use Cases: Use cases describe how the data may be used and help to define and clarify requirements. 1) A disaster has struck, or is predicted for, a locality. The PSAP that may be affected must be identified and verified to be operational. 2) In the event that the local PSAP is inoperable, adjacent PSAP locations could be identified and utilized.
Points of Interest in Belarus apparently includes fuel stops and parking. This data set shows various points of interest (about 340). most of which are fuel and parking spots, although it also includes toilets, bus stations, pharmacies, and post offices among other things.
Railway data for Belarus includes Train, subway and tram lines throughout Belarus. Data was uploaded as a polyline shape file, and will appear as such. data was found online at the Openstreetmaps Geofabrik site.
ODOT state railway system linework and attribute edits completed Dec 2004. Updates previous OGDC railroads shapefile. Purpose: Improvement of linework positional accuracy and extent; updates track status and ownership attributes.
This dataset displays all of the rivers in Oregon. By mapping this dataset a GIS Element is brought to the Oregon Rivers Database System. The originator of the data is the OR Dept of Energy and was published in 2001. For more information go to gis.oregon.gov.
This file includes all signed Interstate, State, and US routes for the State of Oregon. Purpose: To show location of routes and provide cross-reference to ODOT highway numbers. This file includes all applicable jurisdictions of roadways to give a complete picture of routes located within Oregon. Supplemental_Information: Please note that not all signed routes are State of Oregon highways.
This Data set comes from the Open Street Maps, Geofabrik Site, and includes all the of the Features from the Railway shape file which were labeled with a type = 'subway'. The railway shapefile had be be divided by feature type because the file size was too large. This Subway data includes 513 polyline links, along with an Openstreetmaps ID and the a Feature Name where available.
This dataset displays the median earnings figures for full time earners, for all occupations by education level for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census. Data presented for private households with household income greater than zero in non-farm, non-reserve private occupied dwellings.
This dataset displays the median earnings figures for full time earners, for all occupations by education level for Canada. This information is displayed on the census division level, and is divided into two datasets (due to the file size). The first dataset includes: Ontario, Quebec, Prince Edward Island, New Brunswick, Nova Scotia, Newfoundland, Nunavut, Northwest Territories, and Yukon. The Second includes: British Columbia, Alberta, Saskatchewan, and Manitoba. Industry Employment is divided further by industry type. This data is derived from the Canadian Census of 2006, and made available through Statistics Canada. To find other Canadian Census Data files please search for: Canada-census. Data presented for private households with household income greater than zero in non-farm, non-reserve private occupied dwellings.
This dataset is a subset of the Points of Interest Data set from the Open Street Maps Geofabrik site. Data provides the locations of 615 Beer Gardens (beirgarten) in Germany. All feature types = beirgarten. Very impressive work from the open street map people, nice work.
This data set comes from the Open Street Maps people and the Geofabrik website. This may seem like a bit of an eclectic sampling of data points, but they all contain the keyword Bahnhof (German for train station). Many points are Train station parking lots, or drug stores, or bicycle rentals, or bus stations, etc... but they all have bahnhof in there. hopefully this is useful.
The school district theme was created in various stages from 1997-2000. The theme was originally derived from 1:100,000 scale census data. Purpose: The data was prepared to identify school district boundaries for the Oregon Department of Education.. Supplemental_Information: The school district theme was created in various stages from 1997 2000. The theme was originally derived from 1:100,000 scale census data. The data was originally prepared in 1997 and 1998 to identify school district boundaries for the Oregon Department of Educations day care provider lunch reimbursement program. The theme was created at the State Service Center for GIS (now part of DAS/IRMDs General Government Data Center.) Drafts of the theme were sent to the department of education for review. The Oregon Department of Education updated the theme to correct school district names during 2000. The theme contains school district boundaries. The Oregon Geospatial Data Clearinghouse completed the latest update in 2001.
This dataset includes buildings occupied by the headquarters of cabinet level state government executive departments, legislative offices buildings outside of the capitol building, offices and court rooms associated with the highest level of the judicial branch of the state government, and large multi-agency state office buildings. All entities that have been verified to have no building name, have had their [NAME] attribute set to "NO NAME". If the record in the original source data had no building name and TGS was unable to verify the building name, the [NAME] attribute was set to "UNKNOWN". The currentness of this dataset is indicated by the [CONTDATE] attribute. Based upon this attribute, the oldest record dates from 2007/12/03 and the newest record dates from 2007/12/04. Homeland Security Use Cases: Use cases describe how the data may be used and help to define and clarify requirements. 1) There has been a natural or manmade disaster, such as a hurricane or earthquake. An assessment of what State property may be affected, and what State services may be impacted needs to be made. 2) There is a predicted natural disaster, such as a hurricane. An assessment of what State property, personnel and services might be in the disaster's predicted footprint or path needs to be made. Preparations need to be made to evacuate personnel, secure property, and arrange for alternate methods of delivering the critical services that may be affected. 3) There has been a terrorist threat against State property and/or personnel. Steps need to be taken to identify what is being threatened, counter the threat, and protect threatened personnel and property. Additional property may be impacted due to its proximity to the threatened property, or the threat may contain only a general spatial reference, and the spatial component of this dataset may need to be used to identify the threatened property.
This line theme contains a spatial representation of the 303(d) list and should be used in conjunction with the actual 303(d) list. The 303(d) list attribute information included in the GIS attributes table is generalized and is described below. Purpose: This layer was developed in order to portray spatially some elements of the 303(d) list and to assist in the 303(d) list development process
This dataset displays streams throughout the state of Oregon. The purpose of mapping this data is to add a GIS layer of water quality limited streams. For more information go to: gis.oregon.gov
Urban Growth Boundaries polygons for Oregon Municipalities/Cities. Purpose: These data are intended for science researchers, students, policy makers, and the general public. Urban Growth Boundaries were established by DLCD Statewide Planning Goal 14 defined in OAR 660-015-000(14). This requires all cities to estimate future growth and plan/zone lands to meet those needs. By law, the municipality is responsible for developing plans that implement the Statewide Land Use Planning Goals. The areas include UGB amendments. UGBs were defined/created as part of Goal 14 by the DLCD on 12/27/74.
The DLG data files derived from the 1:2,000,000-scale maps contain selected base categories of cartographic data in digital form. The data files are derived from the sectional maps of the 1970 National Atlas of the United States of America. The Boundaries category includes boundary information collected in two separate subcategories: (1) Political Boundaries and (2) Administrative Boundaries. The Hydrography data includes data in three separate subcategories: (1) Streams, (2) Water Bodies, and (3) Hypsography (Continental Divide only). The Transportation category of data includes major transportation systems collected in three separate subcategories: (1) Roads and Trails, (2) Railroads, and (3) Cultural Features (airports and Alaska pipeline). Purpose: DLG's depict information about geographic features on or near the surface of the Earth, terrain, and political and administrative units. These data were collected as part of the National Mapping Program. Supplemental_Information: These metadata describe the 1:2,000,000-scale digital line graph holdings of the USGS for the conterminous United States. This is a data-set level implementation of the Content Standards for Digital Geospatial Metadata, and will be in place until file-specific information for individual digital line graphs is available.
Abstract: Boundaries of Oregon's watershed councils. Purpose: Provide a graphic delineation of watershed council areas. Supplemental_Information: From the 1999 Oregon State Service Center for GIS (SSCGIS; now the Oregon Geospatial Data Clearinghouse (OGDC)) metadata entry: This work was commissioned by the Governors Watershed Enhancement Board (GWEB) about the middle of 1998 and was active through the middle of 1999 at the State Service Center for GIS. Jim Godfrey and Steve Barnett did the digitizing. Vivienne Torgeson was the GWEB point of contact. This is a work in progress, and should be considered draft. Watershed Council boundaries will continue to change. Errors in digitizing will be identified and corrected. Wherever possible, we followed fifth field watershed boundaries, rather than follow exactly the input maps from the watershed councils. All such alterations were coordinated with the watershed councils. Many of these watershed council boundary line segments were copied directly from the fifth field boundary lines. Some line segments from county boundaries were also included. As background, rivers and road linework were displayed when needed for clarification. In the western part of Oregon, the fifth field boundaries are 1:24,000. Eastern Oregon fifth field boundaries are at 1:100,000. Also, the county boundary file is 1:100,000. So the scale of this theme should be considered to be nearly 1:24,000 in the west, but only 1:100,000 east of the Cascades. Originally digitized in five sections, this posted version of the watershed council boundaries is a single theme, statewide in scope. There are some areas that as yet have no established watershed council.
The poly shapefile shows number of housing units by county in the lower 48 states in year 2000. The original data (table) came from Census. According to Census the term Housing Units is defined as "...- A housing unit is a house, an apartment, a mobile home or trailer, a group of rooms, or a single room that is occupied, or, if vacant, is intended for occupancy as separate living quarters. Separate living quarters are those in which the occupants live separately from any other persons in the building and which have direct access from the outside of the building or through a common hall." http://www.census.gov/popest/topics/terms/housing_unit.html For methodology read here: http://www.census.gov/popest/topics/methodology/2005_hu_meth.html You may look for housing units data for other years(01,02,03,04,05 and 06) on Finder! by searching with the key "housing units"
Abstract: This coverage displays the names and boundaries of Oregon Coastal Watershed councils. Purpose: The purpose of this coverage is to delineate watershed council boundaries for mapping purposes. Supplemental_Information: Procedures_Used The fifcl theme was created by clipping the fifth field watershed coverage to the coastal salmon migration boundary (area that drains directly into the Pacific Ocean. The fifth field watersheds was edited to show the extent of each watershed council. Annotation was added labeling each of the watershed councils. The results were tarred to tape and stored. One year later the data was restored from tape. Several lines were added to delineate new watershed councils along the northern oregon coast. In all cases Ken Bierly (GWEB) reviewed the boundaries pointing out necessary changes. Upon final approval the data was tarred onto tape until it was brought back off tape to create metadata and put it up on the GIS Service Center Webpage. The name of the theme was changed to cnclbndy to better represent what the theme was. Revisions The data was revised in the summer of 1997 in order to split an existing watershed council into two watershed councils. Reviews_Applied_to_Data The theme was reviewed for completeness and correctness by the analyst project manager and client. The label errors command was run on the theme prior to its inclusion on the SSCGIS ftp site.
The poly shapefile shows number of housing units by county in the lower 48 states in year 2001. The original data (table) came from Census. According to Census the term Housing Units is defined as "...- A housing unit is a house, an apartment, a mobile home or trailer, a group of rooms, or a single room that is occupied, or, if vacant, is intended for occupancy as separate living quarters. Separate living quarters are those in which the occupants live separately from any other persons in the building and which have direct access from the outside of the building or through a common hall." http://www.census.gov/popest/topics/terms/housing_unit.html For methodology read here: http://www.census.gov/popest/topics/methodology/2005_hu_meth.html You may look for housing units data for other years(00,02,03,04,05 and 06) on Finder! by searching with the key "housing units"
The poly shapefile shows number of housing units by county in the lower 48 states in year 2002. The original data (table) came from Census. According to Census the term Housing Units is defined as "...- A housing unit is a house, an apartment, a mobile home or trailer, a group of rooms, or a single room that is occupied, or, if vacant, is intended for occupancy as separate living quarters. Separate living quarters are those in which the occupants live separately from any other persons in the building and which have direct access from the outside of the building or through a common hall." http://www.census.gov/popest/topics/terms/housing_unit.html For methodology read here: http://www.census.gov/popest/topics/methodology/2005_hu_meth.html You may look for housing units data for other years(00,01,03,04,05 and 06) on Finder! by searching with the key "housing units"
The poly shapefile shows number of housing units by county in the lower 48 states in year 2003. The original data (table) came from Census. According to Census the term Housing Units is defined as "...- A housing unit is a house, an apartment, a mobile home or trailer, a group of rooms, or a single room that is occupied, or, if vacant, is intended for occupancy as separate living quarters. Separate living quarters are those in which the occupants live separately from any other persons in the building and which have direct access from the outside of the building or through a common hall." http://www.census.gov/popest/topics/terms/housing_unit.html For methodology read here: http://www.census.gov/popest/topics/methodology/2005_hu_meth.html You may look for housing units data for other years(00,01,02,04,05 and 06) on Finder! by searching with the key "housing units"
This Data set shows the locations of various buildings throughout Belgium. many are labeled with building names, how ever many are unnamed. Locations were uploaded as polygon shape files,so you can get the outline of the building. pretty impressive data set.
This dataset explores Immigrant population by place of birth in Canada by province in 2006. Source: Statistics Canada, 2006 Census of Population. Last modified: 2007-12-11.
Selected Coastal Place Names for the following islands: Kauai, Oahu, Maui, and Hawaii.
Abstract: part of the Willamette Basin Geographic Initiative Program, the Environmental Protection Agency (EPA) funded The Nature Conservancy of Oregon to inventory, classify, and map native wetland and riparian plant communities and their threatened biota in the Willamette Valley. Between October 1994 and September 1996, we evaluated 172 wetland and riparian sites throughout the Willamette Valley. A site is a stream or river reach or wetland area that was inventoried at one to many locations. Of these sites, 21 are high-quality remnants important for future protection and restoration efforts. We identified 153 natural communities as occurring in native wetland and riparian habitats, of which 101 are new to the plant community classification of the Oregon Natural Heritage Program. Purpose: This project was conducted in order to gather information about the Willamette Valley to aid in the development of the Willamette Valley Conservation Plan. The Willamette Valley represents one of the most threatened ecoregions in Oregon. This Phase I Project is a much needed project that has the potential to promote integrated efforts on a wide range of activities in the basin that have at their core the conservation of aquatic and terrestrial related natural resources. The Willamette Valley was dominated by extensive and diverse riparian and wetland plant communities during presettlement times in the early 1800's (Johannessen et al. 1971). Settlement of the Willamette Valley, the endpoint of the Oregon Trail, brought dramatic changes to the landscape as it was cleared for pasture and drained for agricultural purposes (Boag 1992). Now only about 10% of the Willamette Valley remains in relatively natural vegetative communities. The Willamette Valley also became home to over two-thirds of the states population by the end of the 1980's. Finally, the streams and rivers which drained into the Willamette Valley have changed significantly since presettlement times, with flood control dams and stream channelization projects resulting in a vastly different hydrologic regime than previously existed for the Willamette drainage (Seddell and Froggatt, 1984). Nevertheless, in the face of extensive alteration of natural habitats, there remain examples of natural communities and populations of rare and threatened species. These occurrences, and the open spaces of the valley, are prime attractions to the human population there who desire increased connection to the outdoors for recreation and renewal. Maintaining biodiversity and restoring sites critical for conservation is as necessary for the long-term livability of the Willamette Valley as it is for the long-term survival of the species native to the ecoregion.
The poly shapefile shows number of housing units by county in the lower 48 states in year 2004. The original data (table) came from Census. According to Census the term Housing Units is defined as "...- A housing unit is a house, an apartment, a mobile home or trailer, a group of rooms, or a single room that is occupied, or, if vacant, is intended for occupancy as separate living quarters. Separate living quarters are those in which the occupants live separately from any other persons in the building and which have direct access from the outside of the building or through a common hall." http://www.census.gov/popest/topics/terms/housing_unit.html For methodology read here: http://www.census.gov/popest/topics/methodology/2005_hu_meth.html You may look for housing units data for other years(00,01,02,03,05 and 06) on Finder! by searching with the key "housing units"
Coastlines for the main Hawaiian Islands. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
The poly shapefile shows number of housing units by county in the lower 48 states in year 2005. The original data (table) came from Census. According to Census the term Housing Units is defined as "...- A housing unit is a house, an apartment, a mobile home or trailer, a group of rooms, or a single room that is occupied, or, if vacant, is intended for occupancy as separate living quarters. Separate living quarters are those in which the occupants live separately from any other persons in the building and which have direct access from the outside of the building or through a common hall." http://www.census.gov/popest/topics/terms/housing_unit.html For methodology read here: http://www.census.gov/popest/topics/methodology/2005_hu_meth.html You may look for housing units data for other years(00,01,02,03,04 and 06) on Finder! by searching with the key "housing units"
The poly shapefile shows number of housing units by county in the lower 48 states in year 2006. The original data (table) came from Census. According to Census the term Housing Units is defined as "...- A housing unit is a house, an apartment, a mobile home or trailer, a group of rooms, or a single room that is occupied, or, if vacant, is intended for occupancy as separate living quarters. Separate living quarters are those in which the occupants live separately from any other persons in the building and which have direct access from the outside of the building or through a common hall." http://www.census.gov/popest/topics/terms/housing_unit.html For methodology read here: http://www.census.gov/popest/topics/methodology/2005_hu_meth.html You may look for housing units data for other years(00,01,02,03,04 and 05) on Finder! by searching with the key "housing units"
Point Locations of Dams in Hawaii This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Geographic areas that meet the population density requirements of the National Fire Plan (1 dwelling per 40 acre or 28 persons per square mile, minimum of 4 dwellings/8 people, basic infrastructure present, county road, power, and/or phones), with primary jurisdiction assigned. Jurisdictions include city, tribes, rural fire districts, national parks and county (where none of above exists). Purpose: Oregon Communities At Risk assessment for 2004 for the National Fire Plan. Populated jurisdictions deliniates areas meeting the population density criteria in the National Fire Plan with the corresponding agency with primary responsibility for life.
Ditches for all major Hawaiian Islands except Kahoolawe. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This dataset shows buildings in Belarus. Each building is represented as a polygon. There is an attribute for name, however so far the features are only named with numerical values.
This Open Street Maps data shows Natural Areas in Belgium, including features such as forests, water, riverbanks, and parks. Natural areas are shown as over 3000 polygons in Belgium. enjoy.
Abstract: Geographic areas classified as Forestland Urban Interface by county classification committees under SB360, "Oregon's Forestland Urban Interface Fire Protection Act of 1997." Currently, Jackson and Dechutes counties have completed this classification process. Purpose: "Oregon's Forestland Urban Interface Fire Protection Act of 1997", ORS 477.015 - 477.061, provides a process for county classification committees to identify and classify areas that will place certain fire hazard mitigation obligations on landowners.
Extracted from the USGS 1983 DLGs for the main hawaiian islands. Description from "Standards for Digital Line Graphs, Part 3 Attribute Coding": Transmission lines and pipelines are not shown on USGS maps as continuous transportation features. These features are shown more for their landmark character. Pipelines in particular are often shown only where there is a visible scar on the ground. As explained in section 3.0.5, some features are suppressed for legibility concerns. Transmission lines and pipelines are often suppressed for other features, particularly roads. Do not attempt to connect the dropped portions of these features. Digitize these features as shown on the map. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Abstract: Geographic areas identified as Wildland-Urban Interface in Community Wildfire Protection Plans. Purpose: Healthy Forest Restoration Act
This open street maps data layer shows various points of interest throughout the country of Belgium. Points include post offices, hospitals, places of worship, parking, fuel, speed cameras, camp sites, schools, fire stations, courthouses, and so on. many of the attributes also have names associated with these points of interest.
Spot elevations, in feet, scanned from USGS mylar quad maps for selected islands. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This dataset shows natural areas in Ukraine. Natural Areas consist of water, riverbanks, parks, forests, and other feature types. This dataset has almost 700 features for various natural areas.
Spot elevations, in feet, scanned from USGS mylar quad maps for selected islands. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This data layer was provided by open street maps and shows the Railway system of Belgium. Feature types include, railways, subways, trams, and stations. data was uploaded as a polyline shape file.
Spot elevations, in feet, scanned from USGS mylar quad maps for selected islands. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This data set shows points of interest in Ukraine. Features included in this data set include, libraries, post offices, places of worship, parking, restaurants, cafes, fuel, parking, police, theaters, cinemas, prisons, universities, camp sites and other public places. there are over 200 points of interest included.
This data set was provided by open street maps and shows the waterways, streams, rivers, canals, and other water routes throughout Belgium. Data includes attributes for name, ID, type of feature, and width of the waterway (if available).
Railway data for Ukraine includes Train, subway and tram lines throughout Ukraine. Data was uploaded as a polyline shape file, and will appear as such. data was found online at the Openstreetmaps Geofabrik site.
Geographic Place Names from the USGS Geographic Names Information System (GNIS). This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis. Downloaded by the Office of Planning from USGS in March, 2003. (Item definition obtained from GNIS On-Line Data Users Guide(http://mapping.usgs.gov/www/ti/GNIS/gnis_users_guide.html), 2000.
This Data set was downloaded from the openstreetmaps, Geofabrik website and includes information and location of roads throughout Ukraine. Data set includes Road names and type. type of road includes information on whether the road is a primary, residential or secondary road, etc.
Locations of small boat harbors and boat ramps. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Locations of small boat harbors and boat ramps. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis. Compiled from data described above onto USGS quadrangle maps and digitized by Ogden Environmental in 1994 in Arc/Info version 6.1.2
Abstract: Generalized Zoning Coverage for the state of Oregon. The coverage is digitized from data collected from 1983 through 1986. Limited zoning changes have ocured since this time. This dataset represents the best STATEWIDE zoning coverage available for the state of Oregon Purpose: This data set was developed to show generalized zoning throughout the state of Oregon.
This dataset contains details about waterways in Ukraine including Canals and Rivers. Dataset includes attributes for type of feature that is represented, name of feature, and width of feature.
This dataset shows over 30 buildings in Turkey. each building is represented as a polygon. There is an attribute for name, however so far the features are only named with numerical values.
This dataset shows natural areas in Turkey. Natural Areas consist of water, riverbanks, parks, forests, and other feature types. This dataset has almost 1200 features for various natural areas.
This data set shows points of interest in Turkey. Features included in this data set include, libraries, post offices, places of worship, parking, restaurants, cafes, fuel, parking, police, theaters, cinemas, prisons, universities, camp sites and other public places. there are almost 1,000 points of interest included.
Railway data for Turkey includes Train, subway and tram lines throughout Turkey. Data was uploaded as a polyline shape file, and will appear as such. data was found online at the Openstreetmaps Geofabrik site.
This Data set was downloaded from the openstreetmaps, Geofabrik website and includes information and location of roads throughout Turkey. Data set includes Road names and type. type of road includes information on whether the road is a primary, residential or secondary road, etc.
This data set includes waterways, including rivers streams, aqueducts and canals. Data was found online at the Openstreetmaps Geofabrik site.
Locations of hotels in the State of Hawaii. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This data set was provided by the kind people of Open street maps. data was uploaded as a polygone file showing the boundaries of buildings in the country of Bulgaria. There are only 270 buildings, but there is great detail. this data set includes attributes for the building name if it is available.
Hydrography Points Extracted from the USGS 1983 DLGs for the main hawaiian islands. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
this data set was provided by open street maps. Data was uploaded from a polygon shape file, and shows the locations of forests, parks, riverbeds, water, and other Natural Areas in Bulgaria.
DLG Hydrography Polygons Extracted from the USGS 1983 DLGs for the main hawaiian islands. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This data set was provided by open street maps. Data shows various points of interest throughout the country of Bulgaria including points such as Hospitals, parking, fuel, places of worship, courthouse, monuments, police and fire stations,schools, hotels, and cafes among others.
this open street maps layer shows the locations of the Bulgarian railway system. this data set includes features for rails, subways, trams, and other railway related terms. data was uploaded as a polyline shapefile.
Miscellaneous DLG Hydrography Polygons Extracted from the USGS 1983 DLGs for the main hawaiian islands. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Abstract: United States Department of Agriculture Forest Service lands are shown as polygons in this data set. Each named forest is a discrete set of areas. Purpose: This data set is used as a reference layer at the Washington State Department of Transportation to depict National Forests at a small scale.
Hydrographic Units for the islands of Oahu, Maui, Molokai and Hawaii. Digitized from the Department of Land & Natural Resources, Division of Water and Land Development (DOWALD) folded paper Station Location maps, found in the 1983 open-file report 81-1056B, "Summary of Available Data on Surface Water," State of Hawaii, Vol. 3. The scale of the source maps varied by island, and were as follows: Molokai, W. Maui and S.E. Maui at 1" = 1 mile (1:63,360) N.E. Maui at 25/32" = 1 mile (1:81,100.8) N. Oahu at 13/16" = 1 mile (1:77,981.5) S. Oahu at 15/16" = 1 mile (1:67,584) E. Hawaii at 25/32" = 2 miles (1:162,201.6) N.W. Hawaii at 13/16" = 2 miles (1:155,963) S.W. Hawaii at 15/16" = 2 miles (1:135,168)
Locations of mile markers for the state highways and the major roads on the Islands of Hawaii, Maui, and Molokai DLNR, Division of Forestry and Wildlife (DOFAW). The DOFAW staff in the Hawaii, Maui, and Molokai branches drove on the highways and the other important roads, marking the locations of the sighted mile markers on the USGS quadrangle maps. On Maui, they also marked the bridges as well as other signs and lardmarks along the roads. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Mile Markers Locations of mile markers for the state highways and the major roads on the Islands of Hawaii, Maui, and Molokai DLNR, Division of Forestry and Wildlife (DOFAW). The DOFAW staff in the Hawaii, Maui, and Molokai branches drove on the highways and the other important roads, marking the locations of the sighted mile markers on the USGS quadrangle maps. On Maui, they also marked the bridges as well as other signs and lardmarks along the roads. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Locations of mile markers for the state highways and the major roads on the Islands of Hawaii, Maui, and Molokai DLNR, Division of Forestry and Wildlife (DOFAW). The DOFAW staff in the Hawaii, Maui, and Molokai branches drove on the highways and the other important roads, marking the locations of the sighted mile markers on the USGS quadrangle maps. On Maui, they also marked the bridges as well as other signs and lardmarks along the roads. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This data set was provided by open street maps and shows various roadways, roads, highways, and paths throughout Bulgaria. seems like a pretty detailed map. Data was uploaded as a polyline shape file. includes attributes for name, type of road, and a one way flag. if value in one way is 0, the road is open for 2 way traffic, if there is a value of 1, there is only 1 way traffic.
Na Ala Hele State Trails and Access System Public trails within the Na Ala Hele Trail and Access system, which are managed by Na Ala Hele Trail Specialists at DOFAW's county district offices. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Abstract: Lines and points depict the locations of the Washington State Department of Transportation's Nickel Projects. This includes the Nickel funding package project list enacted for transportation by the 2003 Washington State Legislature (http://www.wsdot.wa.gov/projects/nickel/ProjectList.pdf). This list was prepared by WSDOT from the project listing adopted by the Legislature in the Transportation Budget (ESHB 1163) and transmitted to the Legislative Evaluation & Accountability Program from the Chairs of the Senate and House Transportation Committees on April 27, 2003. This data set includes the current Program Item Numbers (PINs) and locational information as it existed in the Capital Improvement and Preservation Program database in September 2003. Purpose: This data set is intended for use as a reference layer for GIS analysis and display. Supplemental Information: Included with the spatial data are tables for Work Items, where applicable. Also included is an Excel document that shows Program Item Number relationships between Legislatively approved Nickel Projects and 9/2003. The 9/2003 PIN number can be related to data in the Capital Improvement and Preservation Program database for additional information on individual projects. The bucket project table includes Nickel projects that have a non-specific or statewide location.
This dataset shows more than 4,000 buildings in Switzerland. Each building is represented as a polygon.
Abstract: Lines and points depict the locations of the Washington State Department of Transportation's Nickel Projects. This includes the Nickel funding package project list enacted for transportation by the 2003 Washington State Legislature (http://www.wsdot.wa.gov/projects/nickel/ProjectList.pdf). This list was prepared by WSDOT from the project listing adopted by the Legislature in the Transportation Budget (ESHB 1163) and transmitted to the Legislative Evaluation & Accountability Program from the Chairs of the Senate and House Transportation Committees on April 27, 2003. This data set includes the current Program Item Numbers (PINs) and locational information as it existed in the Capital Improvement and Preservation Program database in September 2003. Purpose: This data set is intended for use as a reference layer for GIS analysis and display. Supplemental Information: Included with the spatial data are tables for Work Items, where applicable. Also included is an Excel document that shows Program Item Number relationships between Legislatively approved Nickel Projects and 9/2003. The 9/2003 PIN number can be related to data in the Capital Improvement and Preservation Program database for additional information on individual projects. The bucket project table includes Nickel projects that have a non-specific or statewide location.
Names and addresses of Streets and Roadways (major and minor) for the Island of Hawaii by the County of Hawaii, Planning Department. These road features originally derived from Tiger Line files created for the Year 2000 Census data. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis. The County of Hawaii centerlines layer depicts the street network as it exists on the ground, as opposed to official roadways from paper documents. Likewise street names are the ones in use, meaning the ones that the County uses to assign addresses. This is true even if the name in use differs from the official name of the street. The entity is the street segment: the portion lying between two adjacent intersections. Each centerline has a street name attribute and an address range. All segments of a street are included if any buildings are addressed anywhere on the street. Streets are included regardless of ownership (County, State, Federal or private). Centerlines include, but are not limited to, those streets that have addressable buildings.
Abstract: Lines and points depict the locations of the Washington State Department of Transportation's Nickel Projects. This includes the Nickel funding package project list enacted for transportation by the 2003 Washington State Legislature (http://www.wsdot.wa.gov/projects/nickel/ProjectList.pdf). This list was prepared by WSDOT from the project listing adopted by the Legislature in the Transportation Budget (ESHB 1163) and transmitted to the Legislative Evaluation & Accountability Program from the Chairs of the Senate and House Transportation Committees on April 27, 2003. This data set includes the current Program Item Numbers (PINs) and locational information as it existed in the Capital Improvement and Preservation Program database in September 2003. Purpose: This data set is intended for use as a reference layer for GIS analysis and display. Supplemental Information: Included with the spatial data are tables for Work Items, where applicable. Also included is an Excel document that shows Program Item Number relationships between Legislatively approved Nickel Projects and 9/2003. The 9/2003 PIN number can be related to data in the Capital Improvement and Preservation Program database for additional information on individual projects. The bucket project table includes Nickel projects that have a non-specific or statewide location.
This dataset shows natural areas in Switzerland. Natural Areas consist of water, riverbanks, parks, forests, and other feature types. This dataset has more than 7,000 features for various natural areas.
This data set shows points of interest in Switzerland. Features included in this data set include, libraries, post offices, places of worship, parking, restaurants, cafes, fuel, parking, police, theaters, cinemas, prisons, universities, camp sites and other public places. there are almost 5,000 points of interest included.
This data set shows the Rail system of Switzerland, including rails and trams. attributes include name of the rail, and type of rail. data was downloaded from openstreetmap geofabrik.
this data set was provided by open street maps and shows various waterways, including rivers, streams, canals, and other water related features. data was uploaded as a polygon Shape file.
Roads and road names for the islands of Maui, Molokai and Lanai. This layer was developed by Maui County GIS staff based on data originally created by the Maui County Police Department (MPD). Information proprietary to MPD was removed and road centerlines and road names were edited with information from various sources, including the Maui County Dept. of Public Works, Maui County Real Property Tax Division (Dept. of Finance), subdivision maps, TMK plats, satellite imagery and field checks by Maui County GIS staff with vehicle-mounted GPS. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Abstract: Lines represent Washington State Highways of Statewide Significance. Highways of Statewide Significance include interstate highways and other principal arterials that are needed to connect major communities in the state. Highways of Statewide Significance were designated by the 1999 Washington State legislature by enactment of SHB 1487, updated by the legislature in 2002 to include an additional portion of State Route 509 and the State Route 2 Newport Couplet, and then updated again to reflect changes by the legislature as of 3/13/2004. Purpose: This designation assists with the allocation and direction of funding.
Polygons describing the location and definition (public, catholic, etc) of school grounds in chicago.
This Data set is part of two datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout Eastern Switzerland. Data set includes Road names and type. type of road includes information on whether the road is a primary, residential or secondary road, etc. Because the dataset for the entire country was too big, it was divided into eastern and western Switzerland.
this data set was provided by the nice fellows over at Open street map and shows various buildings in Cyprus. Buildings have an attribute for name which can help identify some of the more important buildings, but many are unnamed. data was uploaded as a polygon shape file.
This Data set is part of two datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout Western Switzerland. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. Because the dataset for the entire country was too big, it was divided into eastern and western Switzerland.
This data set includes waterways, including rivers streams, aqueducts and canals. Data was found online at the Openstreetmaps Geofabrik site.
Abstract: Inventory of Washington State DOT noise barriers. Purpose: Spatial data for mapping and analysis purposes. Supplemental Information: For additional information about WSDOT noise barriers see: http://www.wsdot.wa.gov/regions/Northwest/rp&s/environmental/aae/default.htm#Acoustics
Abstract: Type-II (proposed) Washington State DOT noise barriers Purpose: Spatial data for mapping and analysis purposes. Supplemental Information: For further information about noise barriers go to WSDOT's Acoustics web site at http://www.wsdot.wa.gov/regions/Northwest/rp&s/environmental/aae/default.htm#Acoustics
This dataset explores Incidence of low income among the population living in private households by province in Canada from the 1995 and 2000 Censuses. Source: Statistics Canada, Census of Population. Last modified: 2005-01-10.
Abstract: This data set shows the locations of bridges maintained or owned by the Washington State Department of Transportation (WSDOT) and located on the State Route system. The bridge locations and attributes were obtained from the Transportation Data Office in an Excel Spreadsheet. Data are current as of 1/29/2004. Bridge locations were defined in the spreadsheet based on State Route Milepost and SR/RRT/RRQ and Accumulated Route Miles (ARM) along the State Routes. These events were mapped using the WSDOT 1:24,000 Linear Reference System (LRS) and saved as a new data layer. The LRS line work was last updated on 2/23/2004, and reflects values in the published 2003 State Highway Log (2/28/2003). Purpose: Show the location of WSDOT Bridges and to allow the user to determine the Bridge ID and Structure number. With this information the user may query the WSDOT Bridge Inventory System. Supplemental Information: Of the 2898 bridges, 85 were not mapped. Of these, 3 had ARM values that were not found on the route and 82 were on routes that did not exist in the LRS. The RRTs in this second group were broken down as follows. RRT Number Not Found CD 10 CI 13 FD 2 FI 4 HD 3 HI 2 Ramps 42 TB 5 TR 1 All bridge information is included within the bridge shapefile data table. You may use the LOC_ERROR field within the shapefile to determine if a given bridge was/was not mapped and why.
Abstract: Routes of vessels providing scheduled, public car ferry service in the waters of Washington State are depicted as linear features. Known private, provincial, tribal and passenger-only ferry services are also shown. Purpose: This data set is used as a reference layer for geographic information systems at the Washington State Department of Transportation. This layer is not intended for navigational purposes.
Abstract: This data depicts the locations of ferry terminals in Washington State. Purpose: To enable Geographic Information System users to more easily display and analyze all known public, private, tribal and provincial ferry terminals in Washington State. Supplemental Information: Please note that this dataset is separate from the GIS Road Log Ferry Terminals GIS dataset, which shows only ferry terminals that are directly adjacent to a Washington State Route.
Abstract: This dataset provides the State Route 2005 update Freight and Goods Transportation System designations, estimated 2004 average gross annual truck tonnage, FGTS segment lengths, FGTS segment descriptions, and county. The Freight and Goods Transportation System (FGTS) is a ranking of roads in Washington State by the estimated average gross annual truck tonnage carried. The FGTS identifies the routes most heavily used by trucks and provides factual data to support funding for projects that improve conditions for freight transportation. This information also supports planning for pavement upgrades, traffic congestion management, and other investment decisions. The system is affected by changes in the economy, international trade, and the transportation industry such as changes in truck travel patterns, cargoes, and tonnages. Revisions to the Freight and Goods Transportation System routes and tonnage classifications are developed by the agency having jurisdiction over the roadway segment. The Office of Freight Strategy and Policy, within WSDOT's Strategic Planning & Programming Service Center, is responsible for maintaining the Freight and Goods Transportation System database and for coordinating the preparation of its mapping with the Planning & Programming Service Center's Geographic Services Office.
This dataset displays energy production estimates in trillion Btu by source and by state for the year 2005. Included in the data are figures on coal, natural gas, crude oil, nuclear, renewable, and total energy production. All of which are on a trillion Btu Scale. Data is available for all 50 US states, and the District of Columbia. This information is for the year 2005. Side Notes: Includes coal recovery, market production of natural gas, lease condensate included in the crude oil, and renewable energy consumption is used as proxy.
This dataset from the Energy Information Administration displays figures on the energy production and consumption estimates in trillion Btu by state for the year 2005. Included in this data is the total production, total consumption, and the difference between the two. All of which are measured on a Trillion Btu scale. The difference is total consumption minus total production, and represents interstate flows, net imports, and stock changes. Data is available for all 50 United States and the District of Columbia.
This dataset displays the amount of hydroelectric power that was consumed on a nation level. The dataset covers the time period spanning from 1980 to 2005. Data is available for 200+ countries. This data is scalled at: Billion Kilowatt hours. Data references:Energy Information Administration International Energy Annual 2005 Table Posted: September 11, 2007 Next Update: June 2008 This data is available directly at: http://www.eia.doe.gov/fuelrenewable.html Access Date: November 8, 2007.
Abstract: Lines and points depict the locations of the Washington State Department of Transportation's Nickel Projects. This includes the Nickel funding package project list enacted for transportation by the 2003 Washington State Legislature (http://www.wsdot.wa.gov/projects/nickel/ProjectList.pdf). This list was prepared by WSDOT from the project listing adopted by the Legislature in the Transportation Budget (ESHB 1163) and transmitted to the Legislative Evaluation & Accountability Program from the Chairs of the Senate and House Transportation Committees on April 27, 2003. This data set includes the current Program Item Numbers (PINs) and locational information as it existed in the Capital Improvement and Preservation Program database in September 2003. Purpose: This data set is intended for use as a reference layer for GIS analysis and display. Supplemental Information: Included with the spatial data are tables for Work Items, where applicable. Also included is an Excel document that shows Program Item Number relationships between Legislatively approved Nickel Projects and 9/2003. The 9/2003 PIN number can be related to data in the Capital Improvement and Preservation Program database for additional information on individual projects. The bucket project table includes Nickel projects that have a non-specific or statewide location.
Abstract: This data set contains access control information. Purpose: Developed for Access Hearings Office to show access control information spatially.
The poly shapefile shows the HUD estimates of median income by MSA for the years 2008 and Census estiamtes for median income in 2004, along with change in median income levels between 2004 and 2008 and percent change/annual percent change. The top five MSA in terms of 2008 median income levels are: San Jose-Sunnyvale-Santa Clara, CA (97,800) Bridgeport-Stamford-Norwalk, CT (97,500) Washington-Arlington-Alexandria, DC-VA-MD-WV (97,200) San Francisco-Oakland-Fremont (94,300) Boulder, CO (85,000) There are some surprising candidates names when it comes to MSAs with the highest annual percent change: the top five MSAs are: New Orleans-Metarrie-Kenner, LA (9.95%) Billing, MT (9.95%) Washington-Arlington-Alexandria, DC-VA-MD-WV (9.17%) Ithaca, NY (8.88%) Yuba City, CA (8.84%).
Abstract: This data set is a linear depiction of railway mainline rights of way currently considered active by the Washington State Department of Transportation's Public Transportation and Rail Office. Some railroads included here exhibit little or no active operation, but are not formally abandoned. Each separately owned mainline route is depicted as a single line--multiple tracks, sidings, yards, and industrial spurs are not shown. Purpose: This data set is used to present a small-scale cartographic rendition of active railroads in Washington State, and as a reference layer for geographic information systems at WSDOT.
Abstract: Railway rights-of-way abandoned since 1953 in Washington state are shown as lines. Trackage may or may not exist, and the right of way may or may not be currently owned by a railroad company. Purpose: This data set is used as a general-purpose base map and as a reference layer for geographic information systems at the Washington State Department of Transportation.
Abstract: The State Routes of Washington are segmented according to the nominal roadside landscape classification determined by the Roadside Design Office of the Washington State Department of Transportation. Purpose: The purpose of this data set is to provide an easily displayed representation of the classifications of roadside landscape on a medium- to small-scale state-wide map. Supplemental Information: Roadside Landscape Classification segments are no less than 0.9 miles in length except where State Routes: pass through small towns; pass through semiurban areas directly adjacent to urban areas; or intersect, if a shorter length is necessary to blend the route corridors together.
Abstract: This data set is a linear representation of Washington State Routes, with State Route (SR) identifiers and route measure attributes. Each SR is symbolized with a single line whether or not the highway is divided. Entrance, exit and collector/distributor ramps are not included, but spurs, couplets and reversible lanes are. Purpose: The data provide a small-scale cartographic rendition of Washington State highways. They also represent the linear reference system (LRS) used by Washington State Department of Transportation. This LRS enables the use of dynamic segmentation to position features along the highway system according to the features' route measure position. This dataset is a snapshot of the roadway system, effective 12/31/07. Supplemental Information: San Juan County contains no State Routes.
Abstract: This dataset contains two sources used to determine X, Y coordinates for positions along Washington State highways perpendicular to milepost markers. Locations were collected on the fly from a moving vehicle using Global Positioning Systems (GPS) technology, and using Geographic Information Systems (GIS) processes, the Washington State Department of Transportation (WSDOT) 24k Linear Referencing System (LRS) and the WSDOT Traffic Signs Management Systems database (TSMS). Purpose: Provide location reference along Washington State Highways for such uses as: routing, vehicle tracking, emergency services, traffic safety, and WSDOT project planning and management.
Abstract: GPS locations of environmentally sensitive areas that front state highways. Sensitve areas include waterbodies, wetlands, streams and channel migration zones. Line segments were generated with 300 foot buffers added to the beginning and ending of the lines. Data was collected to indicate the region, county, who collected the data, what type of sensitive area and the side of the highway it is on, as well as latitude and longitude points from the GPS unit. Purpose: To help field maintenance crew identify where environmentally sensitive area are to avoid performing environmentally hazardous actions in that area. Supplemental Information: This data set does not cover the entire state. The original data collected in 2000 and 2001 included North Central Region, Southwest Region and South Central Region. Olympic Region was added in 2002. Eastern Region was added in 2003. Northwest Region maintains a separate data set.
Abstract: Polygons depict the boundaries of Washington State's incorporated municipalities, as recorded by the Washington State Office of Financial Management. Attributes include city names as provided by the Washington State Office of Financial Management, and Federal Information Processing Standard codes(FIPS) as provided by the National Institute of Standards and Technology. The Washington State Office of Financial Management provided FIPS codes for cities incorporated after the National Institute of Standards and Technology's FIPS code publication date. GNIS (Geographic Name Information System) codes provided by the Washington State Department of Revenue have been included for this quarter. For this particular update, all annexations approved by Office of Financial Management for Third Quarter of 2008 are included. Purpose: This data set is used as a reference layer for geographic information systems at the Washington State Department of Transportation. Supplemental Information: The calendar date under time period of content is the date of annexation approval and certification by the Washington State Office of Financial Management.
Abstract: The counties of Washington state are depicted as polygons. Purpose: This data set is intended for use as a reference map layer for GIS applications.
Highway Urban Areas, as defined by the Federal Highway Administration, are depicted as polygons. Purpose: The Federal Highway Administration (FHWA) requires a review of highway urban and urbanized areas after each decennial US Census. The Census Bureau determines boundaries for urbanized areas with 50,000 or more people. Highway urbanized areas must include all areas defined as urbanized by the Census bureau but can and usually do include area beyond the Census Bureau defined boundaries. For urban areas of 5,000 through 49,999 people, FHWA uses city limits or Census Designated Place boundaries, with some adjustments, as the minimum area. This data set is used for identification of Urban Areas and as a reference layer for geographic information systems at WSDOT.
Abstract: Boundaries of Indian Reservations recognized by the U.S. Bureau of Indian Affairs. Purpose: This data set is used as a reference layer for geographic information systems at the Washington State Department of Transportation (WSDOT).
Major Road Features derived from Tiger Line files created for the year 2000 Census. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
"Major roads" extracted from the USGS 1983 DLGs for the main hawaiian islands. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Abstract: Major cities of Washington State, including every county seat, are depicted as point features. Purpose: This data set is used as a reference layer for geographic information systems at the Washington State Department of Transportation (WSDOT).
Abstract: United States military reservations are shown as polygons in this data set. Purpose: This data set is used as a reference layer for geographic information systems at the Washington State Department of Transportation.
Abstract: Polygons depict National Parks in Washington State. Purpose: This data set is used as a reference layer for geographic information systems at the Washington State Department of Transportation (WSDOT).
This dataset shows more than 3,000 buildings in Sweden. Each building is represented as a polygon.
Streams identified by the Hawaii Stream assessment as having aquatic significance This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Abstract: Polygons depict National Recreation Areas in Washington State. Purpose: This data set is used as a reference layer for geographic information systems at the Washington State Department of Transportation (WSDOT).
Starbucks said July 1 it intended to close 600 company-operated stores in the U.S. to help deal with a slowing economy. The stores make up 8 percent of the company's 7,250 it operates. The shutdowns will run through March 2009 and reduce the company's global workforce by as many as 12,000 jobs. This data set gives the locations of the first 50 stores to close. The raw data for this data set was found online at the Chicago tribune website. The website provided a list of Starbucks locations, which were then geocoded using a few different geocoders to try to get matches for all of the Closing stores. 48 of the 50 locations were successfully coded.
Abstract: Points depict Washington State's populated places. This data reflects information provided by the US Geological Survey's Geographic Names Information System (GNIS), the National Institute of Standards and Technology's Federal Information Processing Standards, and the Washington State Office of Financial Management's list of incorporated entities. Purpose: This data set is used as a reference layer for geographic information systems at the Washington State Department of Transportation. Supplemental Information: This data set can be queried to display types of populated places: incorporated entities, unincorporated entities, named places within incorporated entities, and so forth. Associated county information is also provided. Please refer to http://geonames.usgs.gov/gnisftp.html for more information on the Geographic Names Information System and to http://www.itl.nist.gov/fipspubs/fip55-3.htm for more information on the Federal Information Processing Standards codes.
Streams identified by the Hawaii Stream assessment as being of cultural significance This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Abstract: Polygons represent the Regional Transportation Planning Organizations (RTPOs) and Metropolitan Planning Organizations (MPO's). RTPOs are responsible for transportation planning, growth management compliance within their jurisdictions, and the development and adoption of regional transportation plans. Purpose: This data set is used as a reference layer for geographic information systems at the Washington State Department of Transportation.
Streams identified by the Hawaii Stream assessment as having significantly diverse resources This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This dataset shows natural areas in Northern Sweden. Natural Areas consist of water, riverbanks, parks, forests, and other feature types. Because the dataset for the entire country was too big, it was divided into northern, southeastern and southwestern Sweden.Together, the datasets have more almost 12,000 features for various natural areas.
Streams identified by the Hawaii Stream assessment as having significant riparian resources This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This dataset shows natural areas in southeastern Sweden. Natural Areas consist of water, riverbanks, parks, forests, and other feature types. Because the dataset for the entire country was too big, it was divided into northern, southeastern and southwestern Sweden.Together, the datasets have more almost 12,000 features for various natural areas.
This dataset shows natural areas in southwestern Sweden. Natural Areas consist of water, riverbanks, parks, forests, and other feature types. Because the dataset for the entire country was too big, it was divided into northern, southeastern and southwestern Sweden.Together, the datasets have more almost 12,000 features for various natural areas.
This data set shows points of interest in Sweden. Features included in this data set include, libraries, post offices, places of worship, parking, restaurants, cafes, fuel, parking, police, theaters, cinemas, prisons, universities, camp sites and other public places. there are over 4,000 points of interest included.
2000 US Census Blocks: Hawaii 1 of 2 Downloaded from www.geographynetwork.com. Merged all 5 counties into one layer using ArcView's Geoprocessing extension. Projected from decimal degrees to UTM Zone 4 using 'Hawaii Datums and Projections' extension in ArcView. 2000 block population added only to the shapefile. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This data set shows the Rail system of Sweden, including rails and trams. attributes include name of the rail, and type of rail. Data was downloaded from openstreetmap geofabrik.
US census of 2000 Blocks Downloaded from www.geographynetwork.com. Merged all 5 counties into one layer using ArcView's Geoprocessing extension. Projected from decimal degrees to UTM Zone 4 using 'Hawaii Datums and Projections' extension in ArcView. 2000 block population added only to the shapefile. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This Dataset is part of three downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout northern Sweden. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. Because the dataset for the entire country was too big, it was divided into northern, southeastern and southwestern Sweden.
1990 US Census Blocks (Polygon) Downloaded from www.geographynetwork.com. Merged all 5 counties into one layer using ArcView's Geoprocessing extension. Projected from decimal degrees to UTM Zone 4 NAD83 using ArcToolbox. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
1990 US Census Blocks Downloaded from www.geographynetwork.com. Merged all 5 counties into one layer using ArcView's Geoprocessing extension. Projected from decimal degrees to UTM Zone 4 NAD83 using ArcToolbox. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This Dataset is part of three datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout southeastern Sweden. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. Because the dataset for the entire country was too big, it was divided into northern, southeastern and southwestern Sweden.
1990 Census Blocks (2 of 2)(Polygon) Downloaded from www.geographynetwork.com. Merged all 5 counties into one layer using ArcView's Geoprocessing extension. Projected from decimal degrees to UTM Zone 4 NAD83 using ArcToolbox. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This Dataset is part of three datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout southwestern Sweden. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. Because the dataset for the entire country was too big, it was divided into northern, southeastern and southwestern Sweden.
This data set includes waterways, including rivers streams, aqueducts and canals. Data was found online at the Openstreetmaps Geofabrik site.
2000 US Census Block Groups (Polygon) Downloaded from www.geographynetwork.com. Merged all 5 counties into one layer using ArcView's Geoprocessing extension. Projected from decimal degrees to UTM Zone 4 NAD83 using ArcToolbox. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
1990 US Census Block Groups (Polygon) Downloaded from www.geographynetwork.com. Merged all 5 counties into one layer using ArcView's Geoprocessing extension. Projected from decimal degrees to UTM Zone 4 NAD83 using ArcToolbox. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
2000 US Census Designated Places (Polygon) Downloaded from www.geographynetwork.com. Merged all 5 counties into one layer using ArcView's Geoprocessing extension. Projected from decimal degrees to UTM Zone 4 using 'Hawaii Datums and Projections' extension in ArcView. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
2000 US Census Tracts (Polygon) Downloaded from www.geographynetwork.com. Merged all 5 counties into one layer using ArcView's Geoprocessing extension. Projected from decimal degrees to UTM Zone 4 using 'Hawaii Datums and Projections' extension in ArcView. Coastline clipped using 1983 USGS DLG coastline. The Northwestern Hawaiian Islands were removed. Tract Name and Population added from DBEDT's population table. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
2000 US Census Hawaiian Homelands This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis. Downloaded from www.geographynetwork.com. Merged all 5 counties into one layer using ArcView's Geoprocessing extension. Projected from decimal degrees to UTM Zone 4 using 'Hawaii Datums and Projections' extension in ArcView.
This dataset shows more than 1,000 buildings in Spain. Each building is represented as a polygon.
This dataset shows natural areas in Spain. Natural Areas consist of water, riverbanks, parks, forests, and other feature types. This dataset has almost 2,000 features for various natural areas.
This dataset shows points of interest in Spain. Features included in this dataset include, libraries, post offices, places of worship, parking, restaurants, cafes, fuel, parking, police, theaters, cinemas, prisons, universities, camp sites and other public places. there are over 8,000 points of interest included.
2000 Zip Code Tabulation Areas Downloaded from the U.S. Census Bureau's website. Projected from decimal degrees to UTM Zone 4, Old Hawaiian Datum using 'Hawaii Datums and Projections' extension in ArcView. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
2000 County Census Divisions Downloaded from www.geographynetwork.com. Merged all 5 counties into one layer using ArcView's Geoprocessing extension. Projected from decimal degrees to UTM Zone 4 using 'Hawaii Datums and Projections' extension in ArcView. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This dataset shows the Rail system of Spain, including rails and trams. attributes include name of the rail, and type of rail. Data was downloaded from openstreetmap geofabrik.
City and County of Honolulu Council District Boundaries, as adopted by the State Reapportionment Commission, November, 2001. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
City and County of Honolulu Council District Boundaries, as adopted by the State Reapportionment Commission, November, 1991. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Unites States Congressional Boundaries as adopted by the State of Hawaii Reapportionment Commission on November 30, 2001. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Unites States Congressional Boundaries as adopted by the State of Hawaii Reapportionment Commission in November, 1991. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Conservation District Subzones, Statewide Coverage as of 1995. Statewide Subzone coverage created by The Office of Planning (OP), by merging separate island coverages, Sept. 2000. Changed attribute values of "doughnut" polygons (i.e., polygons not within conservation district, but wholly contained within polygons that are within conservation district) from "blank" to "NA" to make it more clear that these areas are not in the conservation district at all, February, 2008. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Civil boundaries are the limiting lines of jurisdictional authority for the various levels of government. The international boundaries of the United States were established through treaties made by the nations concerned, and State boundaries have been defined by the Congress of the United States. Subdivisions within the States, counties or county equivalents, can be further divided into minor civil divisions. Incorporated places include cities, towns, and villages. Incorporated places can be within, exclusive of, or coextensive with, the county or minor civil division in which they are located. Quadrangle maps show only subdivisions that are reasonably stable. Refer to Appendix 3.5.A for more specific information on the civil divisions of the States, the District of Columbia, the Outlying Areas of the United States, the Freely Associated States, and the Trust Territory. In addition to civil boundaries, a variety of reservations are also collected in this category. Appendix 3.5.B provides generic examples of the kinds of reservations that are associated with each reservation type, regardless of jurisdiction. Appendix 3.5.C is divided into separate parts for national, State, and county, and lists the DLG-3 code used to collect each kind of reservation. Hawaii is divided into five counties. Four of the counties are subdivided into minor civil divisions called districts. Ahupuaas and homesteads reflect historical ownership patterns and although they are not civil boundaries, they are important features and are collected. The boundaries of ilis and leles, further subdivisions of ahupuaas, are not collected.
This Dataset was downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout Central Spain. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. Because the dataset for the entire country was too big, it was divided into Northern, Southern, Eastern and Central Spain.
This Dataset is part of three datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout Eastern Spain. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. Because the dataset for the entire country was too big, it was divided into Northern, Southern, Eastern and Central Spain.
This Dataset is part of three datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout Northern Spain. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. Because the dataset for the entire country was too big, it was divided into Northern, Southern, Eastern and Central Spain.
This Dataset is part of two datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout Southern Spain. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. Because the dataset for the entire country was too big, it was divided into Northern, Southern, Eastern and Central Spain.
This data set includes waterways, including rivers streams, aqueducts and canals. Data was found online at the Openstreetmaps Geofabrik site.
This dataset shows almost 4,000 buildings in Slovakia. Each building is represented as a polygon.
This dataset shows natural areas in Slovakia. Natural Areas consist of water, riverbanks, parks, forests, and other feature types. This dataset has more than 3500 features for various natural areas.
This dataset shows points of interest in Slovakia. Features included in this dataset include, libraries, post offices, places of worship, parking, restaurants, cafes, fuel, parking, police, theaters, cinemas, prisons, universities, camp sites and other public places. there are over 2,000 points of interest included.
This dataset shows the Rail system of Slovakia, including rails and trams. attributes include name of the rail, and type of rail. Data was downloaded from openstreetmap geofabrik.
This Dataset was downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout Slovakia. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc.
This dataset includes waterways, including rivers streams, aqueducts and canals. Data was found online at the Openstreetmaps Geofabrik site.
This dataset displays the sum total of money that was contributed by individual donors to Presidential candidate John McCain by county throughout the USA in March of 2008. The data for individual donations came from the March'08 campaign finance reports filed by the McCain campaign in 6/23/2008.
Development / Community Plan areas. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This dataset shows over 800 buildings in Romania. Each building is represented as a polygon.
This dataset shows natural areas in Romania. Natural Areas consist of water, riverbanks, parks, forests, and other feature types. This dataset has almost 1000 features for various natural areas.
This dataset shows points of interest in Romania. Features included in this dataset include, libraries, post offices, places of worship, parking, restaurants, cafes, fuel, parking, police, theaters, cinemas, prisons, universities, camp sites and other public places. there are over 1,500 points of interest included.
Enterprise Zones are authorized under Chapter 209E, HRS, as amended. The governor is authorized to designate up to six enterprise zones per county for a period of twenty years. Updated April 2008. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This dataset shows the Rail system of Romania, including rails and trams. attributes include name of the rail, and type of rail. Data was downloaded from openstreetmap geofabrik.
This Dataset was downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout Romania. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc.
This dataset displays the sum total of money that was contributed by individual donors to Presidential candidate John McCain by county throughout the USA in April of 2008. The data for individual donations came from the April'08 campaign finance reports filed by the McCain campaign in 6/19/2008.
This dataset includes waterways, including rivers streams, aqueducts and canals. Data was found online at the Openstreetmaps Geofabrik site.
This dataset displays the sum total of money that was contributed by individual donors to Presidential candidate John McCain by county throughout the USA in May of 2008. The data for individual donations came from the May'08 campaign finance reports filed by the McCain campaign in 6/19/2008.
This dataset displays the sum total of money that was contributed by individual donors to Presidential candidate John McCain by county throughout the USA in February of 2008. The data for individual donations came from the February'08 campaign finance reports filed by the McCain campaign in 6/5/2008.
This dataset displays the sum total of money that was contributed by individual donors to Presidential candidate John McCain by county throughout the USA in January of 2008. The data for individual donations came from the January'08 campaign finance reports filed by the McCain campaign in 6/5/2008.
The list published by STARBUCKS was scraped from the pdf file and geocoded for the lower 48 states. Out of 616 stores, the map shows 590.
This dataset includes information on the number of 2008 Starbucks closings by county, county-level per capita closings and closings per men versus women. It was generated by doing a spatial join of the closings (see http://finder.geocommons.com/overlays/3090?page= for the locations of the Starbucks) with 2006 U.S. Census data.
This dataset explores the Frequency of language of work by province in Canada in 2001. Source: Statistics Canada, Census of Population. Last modified: 2001-04-25.
The poly shapefile shows the count of Starbucks closures by urban areas/cities. The top five urban areas are: By Urban Area Dallas Fort-Worth Arlington (25) Los Angeles-Long Beach-Santa Ana (22) New York-Newark (22) Chicago (18) Las Vegas (15) Elsewhere on Finder! you may find data on locations of stores slated for closure and also count of stores set for closure by zipcode. Use key word Starbucks.
The poly shapefile shows the count of Starbucks closures by zipcode (five digit) areas. The top five zipcodes are: By Zipcode 1. 89108 Las Vegas, NV (5) 2. 63103 St. Louis, MO (4) 3. 77102 Houston, TX (4) 4. 92101 San Diego, CA (3) 5. 63102 St. Louis, MO (3) Elsewhere on Finder! you may find data on locations of stores slated for closure and also count of stores set for closure by urban areas. Use key word Starbucks.
This dataset is compiled from the Mexican Population and Household Census from 2005 (Conteo de Poblacion y Vivienda 2005). The data is at municipal level (of almost 2,000 municipalities) and is comprised of the number of households by the number of members in the household and the gender of the head of household. According to the Mexican government, a head of household is someone who recoginzed as such by the other members of the household. Data were also included for the total male and female populations, average age by gender and the ratio of males to females. Where there were inconsistencies in municipality boundaries between the Mexican data and the available shapefile, the data have been combined in the appropriate fashion. The polygons that contain data from more than one municipality are labeled with all municipality names. Values of -1 represent no available data.
This data set was found online at the Google earth Community and was downloaded as a KML file. This includes nearly all of the Starbucks locations in the World as of 2006, and includes a street address and latitude and longitude.
test
test projection
This dataset explores the number of induced abortions by area of residence of patients. x : suppressed to meet the confidentiality requirements of the Statistics Act .. : not available for a specific period of time. Note: Data users should be aware of certain limitations to the Therapeutic Abortion Survey. There are recognized issues concerning coverage, increased submission of aggregate counts instead of detailed records, and an increased reliance on age estimation. 1. In 2004, data for Manitoba include only abortions performed in hospitals. 2. For 2002 and 2003, Nunavut residents are excluded due to incomplete reporting. 3. As of 2004, abortions performed on Canadian residents in selected American states are no longer collected. 4. Abortions performed in Canada on non-Canadian residents. 5. Abortions performed on women aged 14 and under and aged 45 and older are included in the 15 to 44 age group. Excludes non-Canadian residents. 6. Includes cases of unknown area of residence and prior to 2004, abortions performed on Canadian residents in selected American states. Sources: Statistics Canada, CANSIM, table 106-9013 and Catalogue no. 82-223-X; Canadian Institute for Health Information. Last modified: 2008-05-21.
This dataset explores induced abortions rate per 1,000 women aged 15 to 44 by area of residence of patients. x : suppressed to meet the confidentiality requirements of the Statistics Act .. : not available for a specific period of time. Note: Data users should be aware of certain limitations to the Therapeutic Abortion Survey. There are recognized issues concerning coverage, increased submission of aggregate counts instead of detailed records, and an increased reliance on age estimation. 1. In 2004, data for Manitoba include only abortions performed in hospitals. 2. For 2002 and 2003, Nunavut residents are excluded due to incomplete reporting. 3. As of 2004, abortions performed on Canadian residents in selected American states are no longer collected. 4. Abortions performed in Canada on non-Canadian residents. 5. Abortions performed on women aged 14 and under and aged 45 and older are included in the 15 to 44 age group. Excludes non-Canadian residents. 6. Includes cases of unknown area of residence and prior to 2004, abortions performed on Canadian residents in selected American states. Sources: Statistics Canada, CANSIM, table 106-9013 and Catalogue no. 82-223-X; Canadian Institute for Health Information. Last modified: 2008-05-21.
This dataset explores Induced abortions per 100 live births in Canada from 2001- 2005. x : suppressed to meet the confidentiality requirements of the Statistics Act .. : not available for a specific period of time. Note: Data users should be aware of certain limitations to the Therapeutic Abortion Survey. There are recognized issues concerning coverage, increased submission of aggregate counts instead of detailed records, and an increased reliance on age estimation. 1. In 2004, data for Manitoba include only abortions performed in hospitals. 2. For 2002 and 2003, Nunavut residents are excluded due to incomplete reporting. 3. Includes cases of unknown area of residence and, prior to 2004, abortions performed on Canadian residents in the United States. Sources: Statistics Canada, CANSIM, table 106-9013 and Catalogue no. 82-223-X; Canadian Institute for Health Information. Last modified: 2008-05-21.
The csv file has data more than 8500 banks in the U.S for which FIDC collects data on their finances, such as total assets, liabilities, deposits etc. Look for data on non-current loans (loans that are 30 to 60, 60 to 90, 90 to 120 or more days in default) and profits/loss as well percent of deposits that are insured by FDIC.
The csv file has data on the nearly 8520 plus banks in the U.S for which FIDC collects data on their finances, such as total assets, liabilities, deposits etc. Look for data on non-current loans (loans that are 30 to 60, 60 to 90, 90 to 120 or more days in default) and profits/loss as well percent of deposits that are insured by FDIC. The quarterly reports are released about two months after the end of a specific quarter.
This coverage represents year MODIS fire detections for the 7 day period specified for the geographic area covering the conterminous United States, Alaska, Hawaii, Canada and northern Mexico. The detections are obtained using both TERRA MODIS and AQUA MODIS data are collected and processed as a cooperative effort between the USDA Forest Service Remote Sensing Application Center, NASA-Goddard Space Flight Center and the University of Maryland. These fire detection data are collected for the USDA Forest Service MODIS Active Fire Mapping Program (http://activefiremaps.fs.fed.us). These data are intended to provide a synoptic view of active fires for the past and present over the specified time period. These data are collected at a spatial resolution of 1 kilometer and therefore are only intended for geographic display and analysis at the national and regional levels. No responsibility is assumed by the USDA Forest Service in the use of these data.
This datasets displays the locations of all recorded earthquakes of a magnitude of 1 or greater around the world from the period of 7.14.08 to 7.21.08. The findings are from the US Geological Survey (USGS). Earthquake information is extracted from a merged catalog of earthquakes located by the USGS and contributing networks. Earthquakes will be broadcast within a few minutes for California events and within 30-minutes for world-wide events.
This dataset displays the inmate populations for all the Federal Prisons throughout the United States on 7.17.08. This weekly Population Report can be found on the Bureau of Prisons website at bop.gov. These facilities are positioned by their lat/lon and this dataset is updated on a weekly basis.
The csv file has data on more than 8520 banks in the U.S for which FIDC collects data on their finances: such as total assets, liabilities, deposits etc. The part 2 of the 4th quarter 2007 includes the profit/loss for the quarter as well as the percent of insured deposits. In the light of failure of and near-run on IndyMac bank, the percent of insured deposits has become an issue for the public. However, FDIC insures $100K in each account and thus the general public should not worry about losing money. The percent insured deposits includes deposits larger than $100K. Some of the largest banks such as City, Chase -Morgan etc have less than 70% of their total deposits insured, however FDIC will make sure that sum of upto $100k in deposits are available to every account. Also included are non-current loans i.e., loans that are 30 to 60, 60 to 90, 90 to 120 or more days in default). The quarterly reports are released about two months after the end of a specific quarter.
The csv file has data on more than 8520 banks in the U.S for which FIDC collects data on their finances: such as total assets, liabilities, deposits etc. The part 2 of the 4th quarter 2007 includes the profit/loss for the quarter as well as the percent of insured deposits. In the light of failure of and near-run on IndyMac bank, the percent of insured deposits has become an issue for the public. However, FDIC insures $100K in each account and thus the general public should not worry about losing money. The percent insured deposits includes deposits larger than $100K. Some of the largest banks such as City, Chase -Morgan etc have less than 70% of their total deposits insured, however FDIC will make sure that sum of upto $100k in deposits are available to every account. Also included are non-current loans i.e., loans that are 30 to 60, 60 to 90, 90 to 120 or more days in default). The quarterly reports are released about two months after the end of a specific quarter.
This dataset displays the sum total of money that was contributed by individual donors to Presidential candidate John McCain by county throughout the USA in June of 2008. The data for individual donations came from the June '08 campaign finance reports filed by the McCain campaign in 7/18/2008.
Abstract: Washington State Department of Transportation's six region boundaries are depicted as polygons. Purpose: This data set is used as a reference layer for geographic information systems at the Washington State Department of Transportation.
Abstract: Lakes and waterbodies in Washington that may be exempt from stormwater flow controls. Data set does not include a spatial representation of the Puget Sound or the Pacific Ocean but these water bodies are exempt. Purpose: This file is one of three resultant files after performing the analysis described in Phases I and II to determine which waterbodies in Washington may be exempt from stormwater flow control requirements. Supplemental Information: Developed as part of an analysis to determine which Washington streams or waterbodies may be exempted from stormwater flow control for the Washington State Department of Transportation (WSDOT). Phases I and II of the project consisted of a position paper and workshop describing a methodology for determining which streams may be exempted from stormwater flow control by looking at a combination of drainage area, cumulative changes in watershed vegetative cover, and percent impervious area. The paper SW_ExemptReachesEvaluations0404.pdf can be accessed at http://www.wsdot.wa.gov/environment/wqec/docs/SW_ExemptReachesEvaluation0404.pdf or W:\Data\GIS\GISOSC\GEODATA\Layers\RiversStreams
Fire Response Zones for the Main Hawaiian Islands Department of Land and Natural Resources, Division of Forestry and Wildlife, Fire Management Program, 2007. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Abstract: Streams in Washington that may be exempted from stormwater flow controls. These streams have a drainage area of at least 100-105 square miles. Purpose: This file is one of three resultant files after performing the analysis described in Phases I and II to determine which streams in Washington may be exempt from stormwater flow control requirements. Supplemental Information: Developed as part of an analysis (Agreement Y-8314, TOD AN - Phase III Discharge of Stormwater to 5th Order Streams: Definition of Exempt Stream Boundaries in Washington) to determine which western Washington streams may be exempted from stormwater flow control for the Washington State Department of Transportation (WSDOT). Phases I and II of the project consisted of a position paper and workshop describing a methodology for determining which streams may be exempted from stormwater flow control by looking at a combination of drainage area, cumulative changes in watershed vegetative cover, and percent impervious area. This document SW_ExemptReachesEvaluation0404.pdf can be found at http://www.wsdot.wa.gov/environment/wqec/docs/SW_ExemptReachesEvaluation0404.pdf or W:\Data\GIS\GISOSC\GEODATA\Layers\RiversStreams
Locations of fisheries management areas, managed by DLNR, Division of Aquatic Resources. DLNR, Division of Aquatic Resources; most boundaries were compiled by Ogden Environmental onto USGS quadrangle maps from unregisterable maps; a few boundaries were verified using GPS. For more information on sources and methods used, see CZM report cited below. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Abstract: Major hydrography for Washington State represented as polygons. Features in this data set define the land extent of Washington state. Purpose: This data set is for general-purpose base maps at 1:500,000 or smaller, where detailed river information is not needed.
Abstract: Selected major lakes and reservoirs of Washington State are depicted as polygons. Major reservoirs on the Columbia and Snake Rivers, and Lake Washington are excluded. Purpose: This data set is used as a reference layer for geographic information systems at the Washington State Department of Transportation..
Abstract: Points represent stormwater outfalls along Washington State Department of Transportation state routes. The main areas of emphasis are: King, Pierce, Snohomish, Spokane, and Kitsap Counties, as well as parts of Thurston County (National Pollutant Discharge Elimination System permit areas). Purpose: This data set serves as an inventory of all sites where highway storm runoff is discharged from WSDOT right-of-way to surface water bodies, to ground water via dry wells, and by infiltration. Supplemental Information: Data points pulled from Stormwater Database Version 2
Abstract: The Washington State Department of Ecology has conducted monthly water quality monitoring at hundreds of freshwater and marine water quality stations throughout the state since 1959. Ecology monitors about 80 stations each year, some on a one-year basis, some on a five-year rotation, and some are monitored continuously. This spatial data set shows the location of these monitoring stations. Purpose: Describe locations of Environmental Assessment Program (formerly called Environmental Investigations and Laboratory Services Program) Ambient Freshwater and Marine monitoring Stations.
Historical land division boundaries for the island of Oahu. Polygon coverage of O`ahu showing pre-Mahele (ca.1850) ahupua`a boundaries, and coastlines ca. 1900. Commonly referred to as ahupuaa boundaries, but these boundaries changed and evolved over time, therefore, Historic Preservation Division refers to the layer as historic land divisions. Source: State Department of Land and Natural Resources, Historic Preservation Division, 1996. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Historic (Traditional) Land Divisions for the Island of Lanai (This data is sometimes known as ahupuaa - see oahhistland.txt for more information). Screen digitized from a scan of the USGS 1:24,000 quadrangle map. County of Maui, Department of Water Supply. County of Maui, Department of Water Supply.
Abstract:
Automated hydrograph separation techniques were used to evaluate the groundwater contribution to total streamflow (baseflow) at active and inactive stream guaging stations throughout Washington State. Discharge records for 582 guaging stations, with at least three complete water years of daily mean streamflow data, were downloaded from the U.S. Geological Survey (USGS) National Water Information System. Station characteristics were compiled for each gage, including period of streamflow record, type and degree of regulation affecting the gage, watershed drainage area, USGS station number, station name, and gage location.
Summary statistics were calculated for annual mean streamflow and annual 7-day low flow for all 582 stations. Monthly, and in some cases annual, statistics for baseflow were then estimated using a USGS hydrograph separation software program called HYSEP (Sloto and Crouse, 1996) for those stations judged to be free of significant snowmelt or regulation effects.
Purpose:
To improve our understanding of the baseflow characteristics of Washington rivers and streams and the role groundwater discharge plays in maintaining streamflow.
Supplemental_Information:
The methods used to define the baseflow and streamflow statistics are described in the following report: Estimated Baseflow Characteristics of Selected Washington Rivers and Streams, Water Supply Bulletin No. 60, (Publication No. 99-327) by Sinclair, K. A., and Pitz, C. F. 1999. The report is available at
This data includes the traditional set of boundary information shown on USGS 1:24,000-scale topographic maps (1992-1997). These data are intended for geographic display and analysis at a regional level. The data should be displayed and analyzed at scales appropriate for 1:24,000-scale data. Source: U.S. Geological Survey, Western Geographic Science Center, 2004. History: This layer was downloaded from USGS Hawaii Data Clearinghouse website (http://hawaii.wr.usgs.gov), 2007. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This data includes the traditional set of boundary information shown on USGS 1:24,000-scale topographic maps (1992-1997). These data are intended for geographic display and analysis at a regional level. The data should be displayed and analyzed at scales appropriate for 1:24,000-scale data. Source: U.S. Geological Survey, Western Geographic Science Center, 2004. History: This layer was downloaded from USGS Hawaii Data Clearinghouse website (http://hawaii.wr.usgs.gov), 2007. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This data includes the traditional set of boundary information shown on USGS 1:24,000-scale topographic maps (1992-1997). These data are intended for geographic display and analysis at a regional level. The data should be displayed and analyzed at scales appropriate for 1:24,000-scale data. Source: U.S. Geological Survey, Western Geographic Science Center, 2004. History: This layer was downloaded from USGS Hawaii Data Clearinghouse website (http://hawaii.wr.usgs.gov), 2007. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This data includes the traditional set of boundary information shown on USGS 1:24,000-scale topographic maps (1992-1997). These data are intended for geographic display and analysis at a regional level. The data should be displayed and analyzed at scales appropriate for 1:24,000-scale data. Source: Hawaii Biodiversity and Mapping Program, University of Hawaii at Manoa, Honolulu, HI, 2006. History: This layer was downloaded from USGS Hawaii Data Clearinghouse website (http://hawaii.wr.usgs.gov), 2007. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Public Hunting Areas as described in Hawaii Administrative Rules, Title 13, DLNR, Subtitle 5, Forestry and Wildlife, Part 2, Wildlife, Chapters 122 and 123, and as depicted in DOFAW's Hunting Regulation Guides. See http://www.state.hi.us/dlnr/dofaw/rules/Ch123/HAR_Title13_Ch123.pdf for complete code descriptions. Source: Compiled Nov., 2002 by SOH, DLNR, DOFAW from various sources including the source described in the paragraph above, C&C and GDSI parcel boundaries, as well as DRGs (Digital Raster Graphics), with input from and verification by State foresters and others familiar with the public hunting area boundaries. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Judicial District Boundaries for the 8 main Hawaiian Islands. Source: Judicial Districts are set by Hawaii State Statute (HRS Chapter 3, Section 4-1) The statute says that the districts are "for election, taxation, education, city, county, and all other purposes...." History: Extracted by OP staff from the 1983 1:24,000 USGS Digital Line Graphs. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
2005 Land Use Pattern Allocation Guide map for the island of Hawaii as amended by Ordinance 06 153 (Bill 309, Draft 4). Projection: Stateplane, Zone 1 (Feet) Datum: NAD 83 (North American Datum, 1983) Source: Hawaii County General Plan 1" = 2 mile blueline maps dated November, 1989; County of Hawaii, Planning Department. General Revision Program, 1999 adopted January 2005. As amended by Ordinance 06 153 (Bill 309, Draft 4). History: The original was data digitized in ArcInfo by State Office of Planning. The County of Hawaii, Planning Dept. utilized available GIS data from various resources during the General Revision Program process. Office of Planning received data from County of Hawaii, June 2007 and Projected the data into UTM Zone 4, meters. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Parks for islands of Kauai, Maui, Oahu. Source: C&C parcel data (Oahu), GDSI parcel data (Kauai and Maui). History: Derived from parcel data described above, 1998. Created This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.point coverages from polygon coverages for redistribution, 10/99.
This dataset displays the locations of all the John McCain 2008 Regional Headquarters. The data included: Name, Address, Address2, City, State, Zip, Lat/Lon, Office Phone, Office Fax, and the states that the Headquarters serves. The data was taken from johnmccain.com and is current as of 7.21.2008
This dataset was created from the USDA Farmers Market database listing. The point data is usually the exact location of the market but may sometimes be the general area. Attributes include contact information, hours, and if the market takes food stamps.
Parks for islands of Kauai, Maui, Oahu. Source: C&C parcel data (Oahu), GDSI parcel data (Kauai and Maui). History: Derived from parcel data described above, 1998. Created point coverages from polygon coverages for redistribution, 10/99.
High School Districts Source: www.geographynetwork.com (May, 2001), based on 2000 TIGER/line Files. History: Downloaded from www.geographynetwork.com. Merged all 5 counties into one layer using ArcView's Geoprocessing extension. Projected from decimal degrees to UTM Zone 4 using 'Hawaii Datums and Projections' extension in ArcView. Converted to Coverage using ArcToolBox. Revised layer, Nov. 2001: Removed slivers and added Admin (Administrative Area) field. August, 2002: Converted to double precision. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Public School locations for the main Hawaiian islands. Sources: USGS Geographic Names Information System (GNIS) - 1992, DAGS Planning - 2000, C&C of Honolulu - 2001, Hawaii DOE Website. History: Created by Office of Planning, 2001, using various sources. August, 2002 - converted to double precision. Corrected location of Sunset Beach Elem School, Aug 2002. KKerr added schools Mililani Ike Elementary (Mililani, Oahu) and Chiefess Kamakahelei Middle (Lihue, Kauai) and made some minor attribute edits. Added new schools; added charter schools; adjusted locations for several schools; added attributes, 2008. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Various reserves, preserves, parks, etc. as of January, 2008. Source: Compiled 2002 by SOH, DLNR, DOFAW from various sources including the data provided by DSP and the C&C parcel boundaries with input from State foresters and others familiar with the reserve boundaries. The boundaries in these coverages are not final; they are updated frequently. Latest update - January, 2008 This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This dataset explores Infant mortality rates by province in Canada from 2001 - 2005. Note: The infant mortality rate is calculated as the number of deaths of children less than one year of age per 1,000 live births. Source: Statistics Canada, CANSIM, table 102-0504 and Catalogue no. 84F0211X. Last modified: 2008-01-14.
Special Management Area maps for islands of Niihau, Kauai, Oahu, Maui, Molokai, Lanai and Hawaii. Source: All islands except Oahu: County Planning Department blueline maps; compiled and drafted on USGS quadrangle base. Oahu: C&C of Honolulu GIS database. History: All islands except Oahu: digitized in Arc/Info version 7.1.1 using ArcEdit by the Office of Planning (OP) from County blueline maps, 1998. Edits/Updates: Received and incorporated updates from C&C of Honolulu and County of Hawaii, 2006. Received and incorporated updates from County of Maui, 2007. April, 2008 - OP staff removed interior polygons This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
CIP for years 1997-2000 for the islands listed above Source: Unknown History: Created by OSP staff in October, 1997 for Governor's Island Town Meetings. Islands merged into one layer, August, 2003. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
State Polling Places, as of June, 2002. Source: State of Hawaii, Office of Elections. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This dataset displays the locations of all the John McCain 2008 Victory Offices. The data included: Name, Address, Address2, City, State, Zip, Lat/Lon, Office Phone, Office Fax. The data was taken from johnmccain.com and is current as of 7.21.2008
State Election Precincts, as of June, 2002. Source: State of Hawaii, Office of Elections. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
State Election Precincts for 1998. Source: State of Hawaii, Office of Elections. State Election Precincts for 1998. Source: State of Hawaii, Office of Elections. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This dataset displays basins that are located throughout the state of Washington. Criterion is based on guidelines set by the Washington State Department of Ecology in 1991. For more information go to ecy.wa.gov
State Election Precincts for 1996. Source: State of Hawaii, Office of Elections. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
State of Hawaii House of Representative District Boundaries as adopted by the State of Hawaii Reapportionment Commission on November 30, 2001. Source: State of Hawaii, Office of Elections, January, 2002. History: Primarily derived from 1:100,000 Tiger Line Files. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Abstract: The digital maps presented here were originally published as hard copy maps in the Coastal Zone Atlas of Washington between 1978 and 1980. Although the Atlas has been out of print for many years, the maps contain information that remain the basis for local planning decisions. After receiving multiple requests for electronic versions of portions of the Atlas, an effort was made to scan, georeference and digitize aspects of the Atlas, beginning with the slope stability maps. These maps indicate the relative stability of coastal slopes as interpreted by geologists based on aerial photographs, geological mapping, topography, and field observations. Such methods are standard, but may occasionally result in some unstable areas being overlooked and in some stable areas being incorrectly identified as unstable. Further inaccuracies are introduced to the data through the process of converting the published maps into digital format. Important land use or building decisions should always be based on detailed geotechnical investigations. This mapping represents conditions observed in the early and mid-1970s. Shorelines and steep slopes are dynamic areas and many landslides have occurred since that time that are not reflected on these maps. Subsequent human activities may have increased or decreased the stability of some areas. Purpose: These maps are intended to educate the public about Washington's shoreline and to guide regional land use decisions. These maps should not be used as a substitute for site-specific studies carried out by qualified geologists and engineers. The Department of Ecology assumes no liability for the data depicted on these maps.
State of Hawaii House of Representative District Boundaries as adopted by the State of Hawaii Reapportionment Commission in November, 1991. Source: State of Hawaii, Office of Elections, January, 2002. History: Primarily derived from 1:100,000 Tiger Line Files.. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
State Land Use District Boundaries for the 8 main Hawaiian Island. Version Date: April 20, 2006. Source: State Land Use Commission 1:24,000 mylar maps. State Land Use District Boundaries were compiled by the State Land Use Commission using the State of Hawaii's Geographic Information System (GIS). The State Land Use Districts depicted in these files are not official and are merely representations for presentation purposes only. A determination of the official State Land Use District Boundaries should be obtained through the State Land Use Commission. Duplication of these files or the information therein is prohibited unless authorized by the State Land Use Commission. History: Initially digitized in Arc/Info versions 4, 5, and 6 using ArcEdit by the Office of Planning (OP) from State Land Use Commission's (LUC) 1:24,000 mylar maps. Updated by LUC staff, April 2006. Converted to personal geodatabase to obtain Shape Length and Shape Area by OP. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
State of Hawaii Senatorial District Boundaries as adopted by the State of Hawaii Reapportionment Commission on November 30, 2001. Source: State of Hawaii, Office of Elections, January, 2002. History: Primarily derived from 1:100,000 Tiger Line Files. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
State of Hawaii Senatorial District Boundaries as adopted by the State of Hawaii Reapportionment Commission in November, 1991. Source: State of Hawaii, Office of Elections, January, 2002. History: Primarily derived from 1:100,000 Tiger Line Files.
Traffic Analysis Zones for the island of Kauai Unknown - see history below History: Created by consultant to James Yamamoto for a carrying capacity project for the island of Kauai in the mid-1990s. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Abstract: Ambient monitoring measures the status of air quality throughout the state to assess trends, compliance with federal and state air quality standards, effectiveness of control strategies and attainment plans, health effects and environmental damage; respond to citizen complaints; evaluate specific geographic or hot-spot air quality concerns; and create environmental indicators. Emission inventory is the cataloging of sources of air pollution and the emissions from those sources. Inventory data are critical to the understanding of the causes of air pollution problems and creation of appropriate solutions. Meteorological forecasting and dispersion modeling of air pollutants are essential to understanding the movement and buildup of air pollution; the carrying capacity of airsheds; the interaction of pollutants; and the location of maximum impact of sources of pollution. As of September 26, 2005 there are no longer any areas of Washington designated as "NONATTAINMENT." Purpose: Show areas that presently and historically did not meet carbon monoxide air quality standards.
Abstract: This dataset shows locations of dairy farms in Washington State that are holders of a Milk Producers License issued by Washington State's Department of Agriculture. The data was collected in response to the 1998 Dairy Nutrient Management Act. It includes information regarding acreage (rented and owned) and herd size (milking cows, dry cows, heifers, and calves). The data was compiled from inspections and registrations conducted between 10/1/98 and 7/1/03. This data set includes information regarding herd size (milking cows, dry cows, heifers, calves, and animal units) and acreage available for nutrient application (total of rented and owned). Purpose: GIS database of dairy farms to identify locations for surface water degradation studies. Supplemental_Information: The dairy program shifted to Department of Agriculture on 7/1/2003. Since then Ecology no longer tracks the dairies. Information for the dairy GIS layers is not being updated at this time.
Abstract: Littoral drift, or shore drift, is the process by which beach sediment is moved along the shoreline. Drift results primarily from the oblique approach of wind-generated waves and can therefore change in response to short-term (daily, weekly, or seasonally) shifts in wind direction. Over the long term, however, many shorelines exhibit a single direction of net shore drift. Net shore-drift is determined through geomorphologic analysis of beach sediment patterns and of coastal landforms. Many shorelines can be divided into discrete littoral, or drift, cells, which are independent of one another and for which distinct sediment sources and sinks can be identified. This coverage denotes the extent of individual littoral cells and the direction of net shore-drift within each. Purpose: Heightened concerns about the adverse impact of shoreline modifications on geologic processes, and consequently, on nearshore biological resources has increased the need to provide information on longshore sediment transport in digital format.
Abstract: Bathymetric contours of selected freshwater lakes within Washington State Purpose: Lake depths Supplemental_Information: Original maps are available in Ecology's library: Reconnaissance Data on Lakes in Washington by G.C. Bortleson, N.P. Dion, J.B. McConnell, and L.M. Nelson. Published by Washington State Department of Ecology Volume, Counties, Call Number 1. Clallam, Island, Jefferson, San Juan, Skagit, and Whatcom D-341, v.1 2. King and Snohomish D-341, v.2 3. Kitsap, Mason, and Pierce D-341, v.3 4. Clark, Cowlitz, Grays Harbor, Lewis, Pacific, Skamania, and Thurston D-341, v.4 5. Adams, Benton, Douglas, Franklin, Grant, Lincoln, Walla Walla, and Whitman D-341, v.5 6. Chelan, Ferry, Kittitas, Klickitat, Okanogan, and Yakima Counties D-341, v.6 7. Pend Oreille, Spokane, and Stevens D-341, v.7
Abstract: Booming strategies for Geographic Response Plans for the Washington marine areas and Lower Columbia River. Includes the major tribs to the Lower Columbia in Oregon. Purpose: To show generalized location and placement of booms in the event of a major oil spill. In the Map Document "Explore GRPs.mxd", the Layer name is "Booming Strategies." The layer is set to draw at: 1:200,000 and larger. Labels are set to draw at the same scale.
Abstract: Layer contains boundaries of each individual GRP Map (Geographic Response Plan) for Marine waters and the Lower Columbia River and a "box" around the surrounding area. This layer can be used to mask all but the GRP map of interest by using a Definition Query. Purpose: Shows each individual GRP map and as a mask to gray out all areas but one of interest
Abstract: Potential locations where a spill may originate such as an oil refinery or shipping lane with fast current. Purpose: Identify where spills may occur.
Abstract: Ambient monitoring measures the status of air quality throughout the state to assess trends, compliance with federal and state air quality standards, effectiveness of control strategies and attainment plans, health effects and environmental damage; respond to citizen complaints; evaluate specific geographic or hot-spot air quality concerns; and create environmental indicators. Emission inventory is the cataloging of sources of air pollution and the emissions from those sources. Inventory data are critical to the understanding of the causes of air pollution problems and creation of appropriate solutions. Meteorological forecasting and dispersion modeling of air pollutants are essential to understanding the movement and buildup of air pollution; the carrying capacity of airsheds; the interaction of pollutants; and the location of maximum impact of sources of pollution. As of September 26, 2005 there are no longer any areas of Washington designated as "NONATTAINMENT." Purpose: Show areas that presently and historically did not meet ozone air quality standards.
Abstract: Ambient monitoring measures the status of air quality throughout the state to assess trends, compliance with federal and state air quality standards, effectiveness of control strategies and attainment plans, health effects and environmental damage; respond to citizen complaints; evaluate specific geographic or hot-spot air quality concerns; and create environmental indicators. Emission inventory is the cataloging of sources of air pollution and the emissions from those sources. Inventory data are critical to the understanding of the causes of air pollution problems and creation of appropriate solutions. Meteorological forecasting and dispersion modeling of air pollutants are essential to understanding the movement and buildup of air pollution; the carrying capacity of airsheds; the interaction of pollutants; and the location of maximum impact of sources of pollution. As of September 26, 2005 there are no longer any areas of Washington designated as "NONATTAINMENT." Purpose: Show areas that presently and historically did not meet particulate matter air quality standards. This applies to particulates less than 10 microns is size. The US Environmental Protection Agency sets air quality standards and defines those areas that do not meet air quality standards. Supplemental_Information: Air quality concerns come in three forms: public health, environment and quality of life. Thirteen areas of Washington state were designated as violating national, health-based, ambient air quality standards for six chemicals known as criteria pollutants. Over 2.3 million people live within these areas. Additionally, special monitoring studies show the potential for violations in several new areas such as Wenatchee, Ellensburg and parts of the Columbia plateau. Although air quality has improved significantly in the state's major urban areas, most remain close to violating one or more federal air quality standards. Population growth, more cars, and economic expansion will continue to push vehicle use and emissions higher. It will take vigilance and the combined effort of citizens, business and government to sustain our air quality gains.
Abstract: Washington Rivers and Connecting Water Bodies Purpose: Cartographic coverage of major water within the state of Washington. All data pulled from 100k Hydro Framework.
Abstract: Point layer showing river mile points where they are depicted on the USGS 7 minute quadranges. Only those water bodies that show river miles are in this layer. Purpose: Show river mile locations for hydrology projects. Supplemental_Information: Note that some water bodies have gaps in the river miles order. These mile points are missing in certain USGS quadrangle maps. 7 minutes USGS quadrangle maps that lack USGS river miles: Aberdeen SE, Auburn, Bacon Peak, Big Devil Creek, Black Diamond, Burnt Peak, Carlisle, Cathlamet Bay, Chinook, Clark Mtn, Colfax North, Copalis Crossing, Des Moines, Diamond, Elberton, Everett, Fort Simcoe, Glacier, Gold Bar, Grant Orchards, Greenwater, Groat Mountain, Index, Lake Lawrence, Mabton East, McKays Butte, Maltby, Maple Valley, Moses Lake NW, Mount Vernon, Mt Blum, Mt Juniper, Mt Larabee, Mt Lyall, Mt Sefrit, Naches, Newaukum Lake, Onalaska, Onalaska NW, Poverty Bay, Prosser, Puyallup, Renton, Rosburg, Seattle South, Smith Creek Butte, Snohomish, Snoqualmie Lake, South Bend, Stanwood, Tacoma North, Tacoma South, Thorp, Toppenish Mtn, Trinity, Vail, Warrenton, Western, White Swan, Whitstram
Abstract: This Layer is the spatial representation of the Ecology Publication No. 06-10-038: Waters Requiring Supplemental Spawning and Incubation Protection for Salmonid Species and is part of the Water Quality Standards for Surface Waters of the State of Washington (Chapter 173-201A WAC). These data indicated where and when additional temperature criteria are required to ensure protection for the incubation of salmon, trout, and char. Spawning information in these data are seasonal and must be used in conjunction with other aquatic life use information provided in Part II of the water quality standards. When the Supplemental Temperature data does not apply (see dates for the attribute table), the underlying annual temperature applies. Purpose: This dataset contains spatial and attribute information of the Seasonal Supplemental Temperature Standards for Salmonids and must be used in conjunction with other temperature data in the Water Quality Standards for Surface Waters for Washington Chapter 173-201A WAC. The temperatures represented in these data represent the regulatory maximum threshold for the time period specified.
Abstract: Those portions of streams and rivers constituting "Shorelines of the State" as defined by the Shoreline Management Act, RCW 90.58 and listed in WAC 173-18. Please read the definitions of "Shorelines", "Shorelines of state-wide significance", and "Shorelines of the state" in 90.58.030. Points show the location on a stream where it comes under shoreline jurisdiction or crosses county or state boundaries. Purpose: Show points where steams in Washington State begin to fall under the Shoreline Management Act or cross a county or state boundary. Supplemental_Information: Washington's Shoreline Management Act (SMA) was passed by the Legislature in 1971 and adopted by the public in a 1972 referendum. The goal of the SMA is "to prevent the inherent harm in an uncoordinated and piecemeal development of the state's shorelines."
This dataset shows 51 buildings in Portugal. Each building is represented as a polygon.
Agricultural Land Use Maps for islands of Kauai, Oahu, Maui, Molokai, Lanai and Hawaii. Source: State Department of Agriculture 1:24,000 hand drafted stabiline maps; compiled and drafted during 1978-80 from information from State DOA Planning and Development Section, and the US Soil Conservation Service. History: Digitized in Arc/Info version 6 using ArcEdit by the Office of State Planning (OSP) from State Department of Agriculture's 1:24,000 stabiline maps. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This dataset shows natural areas in Portugal. Natural Areas consist of water, riverbanks, parks, forests, and other feature types. This dataset has almost 400 features for various natural areas.
Abstract: Shoreline Management Act (SMA) coverage; points denote the stream location where water flow reaches 20 cubic feet per second. This is the point where the stream falls under SMA jurisdiction. Purpose: Develop a more accurate method to determine the upstream boundary point for streams and rivers that come under the jurisdiction of the Shoreline Management Act. Supplemental_Information: This is NOT the official dataset for SMA. It has not been officially adopted and is considered DRAFT data. These shoreline points were determined by USGS in three studies commissioned by the Department of Ecology. The first study considered streams for western Washington. The second study added steams and basins in northeastern Washington, and finally a third study added streams in southeastern Washington. This layer combines the points from all three studies.
This dataset shows points of interest in Portugal. Features included in this dataset include, libraries, post offices, places of worship, parking, restaurants, cafes, fuel, parking, police, theaters, cinemas, prisons, universities, camp sites and other public places. there are over 800 points of interest included.
This dataset shows the Rail system of Portugal, including rails and trams. attributes include name of the rail, and type of rail. Data was downloaded from openstreetmap geofabrik.
Aquifers, as determined/defined by DLNR/DOWALD. (Note: DOH maintains another version of aquifers, which is more resource- oriented in nature, and which has different boundaries than the DLNR/DOWALD version, which is more administrative in nature). Source: State Department of Land and Natural Resources island-wide maps of varying scales and sizes. History: Digitized in 1995 in Arc/Info using ArcEdit by DLNR-DOWALD from island-wide maps of varying scales. Updated by DOWALD in March,2000. Updated by CWRM in February, 2005 to add the island of Molokai. Coastline revised by CWRM, Jan 2006. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Abstract: Shows point on a stream where downstream of that point a stream becomes a Shoreline of Statewide Significance (SSS). In western Washington this is where the flow reaches 1000 cubic feet per second. In eastern Washington it is the point downstream where the annual flow is measured at 200 cubic feet per second OR from the first 300 square miles of drainage area, whichever is larger. Purpose: Develop a more accurate method to determine the upstream boundary point for streams and rivers that come under the jurisdiction of the Shoreline Management Act
Aquifers, as determined/defined by DLNR/DOWALD. (Note: DOH maintains another version of aquifers, which is more resource- oriented in nature, and which has different boundaries than the DLNR/DOWALD version, which is more administrative in nature). Source: State Department of Land and Natural Resources island-wide maps of varying scales and sizes. History: Digitized in 1995 in Arc/Info using ArcEdit by DLNR-DOWALD from island-wide maps of varying scales. Updated by DOWALD in March,2000. Updated by CWRM in February, 2005 to add the island of Molokai. Coastline revised by CWRM, Jan 2006. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This Dataset was downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout Portugal. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc.
This dataset includes waterways, including rivers streams, aqueducts and canals. Data was found online at the Openstreetmaps Geofabrik site.
Aquifers, as determined/defined by DOH. (Note: DLNR maintains another version of aquifers, which is more administrative in nature, and which has different boundaries than the DOH version, which is more resource-oriented in nature). The attribute data represent aquifer type codes and status codes that describe an aquifer's geology and status (ie. development stage, utility, salinity, uniqueness, and vulnerability). Source: Original maps prepared by John F. Mink and L. Stephen Lau (Water Resources Research Center)for the Department of Health's Groundwater Protection Program. Digitized by DOH - Environmental Planning Office from the original mylars, based on USGS 1:24,000 scale maps. History: Digitized in 1992 by DOH - Environmental Planning Office from the original mylars, based on USGS 1:24,000 scale maps. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Abstract: Ceded Tribal lands in Washington State, current and historic. This coverage is a work in progress and as such is draft information. Historic boundary lines were digitized from 1:100k data based on the "Article of Agreement" dated 1854-1879. Purpose: Show extent and locations of historic and ceded tribal lands. Supplemental_Information: The Washington State Dept. of Ecology makes no warranty for the accuracy of this material and is not libel for its use. Ecology will maintain this data layer for all interested parties. Documentation corrections should be submitted to the contact person. This data may or may not reflect the most current tribal reservation areas. Tribal reservations are updated regularly in the Major Public Lands (MPL) layer maintained by Washington State Dept. of Natural Resources. 20061220 - Updated, land dispute between the Yakama Indian Reservation and Klickitat County resolved
This dataset shows almost 300 buildings in Poland. Each building is represented as a polygon.
This dataset shows natural areas in Poland. Natural Areas consist of water, riverbanks, parks, forests, and other feature types. This dataset has almost 3500 features for various natural areas.
Abstract: The Department of Ecology has compiled and assessed available water quality data on a statewide basis in order to get a better picture of the overall status of water quality in Washington's waters. The streams and waterbodies contained within this GIS layer are the result of the assessment submitted to the Environmental Protection Agency (EPA) as an "integrated report" to satisfy federal Clean Water Act requirements of sections 303(d) and 305(b). Category 5 of the Assessment is the list of known polluted waters in the state, sometimes referred to as the 303(d) list. Purpose: The Department of Ecology (Ecology) has compiled and assessed available water quality data on a statewide basis in order to get a better picture of the overall status of water quality in Washington?s waters. Assessed waters include all the rivers, lakes and marine waters in the state where data were available. To develop the list, Ecology compiled its own water quality data and invited other groups to submit water quality data they have collected. All data submitted needed to be collected using appropriate scientific methods.
Important Agricultural Lands (IAL) as determined/delineated by the LESA Commission. ALISH, LSB and the U.S. Soil Conservation Service LESA studies were all used and considered when evaluating land for inclusion in the IAL inventory. The "Land Evaluation" portion of the study primarily considered soils to determine rankings. In the "Site Assessment" portion of the study, consideration was given to significant factors other than soils that contribute to the viability of a given site for agricultural use. See the report listed below for more specific information as to criteria and exact methodology used. Source: "A Report on the State of Hawaii Land Evaluation and Site Assessment System" by The State of Hawaii Land Evaluation and Site Assessment Commission, February, 1986. History: Polygons were drafted onto 1:24000 USGS quadrangle maps, then digitized in Arc/Info version 7.x by Office of Planning staff. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This dataset shows points of interest in Poland. Features included in this dataset include, libraries, post offices, places of worship, parking, restaurants, cafes, fuel, parking, police, theaters, cinemas, prisons, universities, camp sites and other public places. there are over 1,500 points of interest included.
This dataset shows the Rail system of Poland, including rails and trams. attributes include name of the rail, and type of rail. Data was downloaded from openstreetmap geofabrik.
Land Use and Land Cover (LULC) data consists of historical land use and land cover classification data that was based primarily on the manual interpretation of 1970's and 1980's aerial photography. Secondary sources included land use maps and surveys. There are 21 possible categories of cover type The spatial resolution for all LULC files will depend on the format and feature type. Files in GIRAS format will have a minimum polygon area of 10 acres (4 hectares) with a minimum width of 660 feet (200 meters) for manmade features. Non-urban or natural features have a minimum polygon area of 40 acres (16 hectares) with a minimum width of 1320 feet (400 meters). Files in CTG format will have a resolution of 30 meters. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Abstract: Water Resource Inventory Areas (WRIA) for Washington State at 1:24,000 scale. WRIAs were formalized under WAC 173-500-040 and authorized under the Water Resources Act of 1971, RCW 90.54. Ecology was given the responsibility for the development and management of these administrative and planning boundaries. These boundaries represent the administrative under pinning of this agency's business activities. The original WRIA boundary agreements and judgments were reached jointly by Washington's natural resource agencies (Ecology, Natural Resources, Fish and Wildlife) in 1970. Purpose: To create a WRIA coverage at a scale of 1:24,000 through the updating of two "like" data sets from different sources. Additionally, to address discrepancies found between the two coverages and determine a "best fit" line through several stages of visual analysis. The development process identified several major objectives as reasoning to update the digital data coverage: To improve the spatial resolution of the data set, To align the WRIA boundaries with 1:24,000 scale hydrology and topography data, To insure of the alignment of the WRIA boundaries to existing county and state boundaries where appropriate, and To have one reconciled set of administrative watershed boundaries (i.e. WADNR's boundaries to nest within the WRIA boundaries) Supplemental_Information: Developed with funding from the Department of Ecology's Information Integration Project (IIP). Developed in cooperation with the Department of Natural Resources - Forest Practices Division.
This Dataset is part of two datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout Eastern Poland. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. Because the dataset for the entire country was too big, it was divided into eastern and western Poland.
Major Land Resource Areas for the main hawaiian islands. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This Dataset was downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout Western Poland. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. Because the dataset for the entire country was too big, it was divided into eastern and western Poland.
This dataset explore Land and freshwater area in Canada by province and territory. Source: Natural Resources Canada, GeoAccess Division. Last modified: 2005-02-01.
Collection of layers from various sources depicting land that was at one time in pineapple or sugarcane production. Not all prior ag lands are represented. Source: Various: OAHPINE - Digitized by Office of Planning from 1:24,000 ortho-photo quads, 1989. Attributes derived from various sugar company maps. NISUGAR - Digitized by Office of Planning, from unknown source, 1991. OAHSUGCO - Digitized by Office of Planning from maps of varying scale provided by Oahu Sugar Company, 1989. WAISUGCO - Digitized by Office of Planning from maps of varying scale provided by Waialua Sugar Company, date unknown. History: Digitized by Office of Planning staff in ArcInfo. See above for sources and dates. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Collection of layers from various sources depicting land that was at one time in pineapple or sugarcane production. Not all prior ag lands are represented. Source: Various: OAHPINE - Digitized by Office of Planning from 1:24,000 ortho-photo quads, 1989. Attributes derived from various sugar company maps. NISUGAR - Digitized by Office of Planning, from unknown source, 1991. OAHSUGCO - Digitized by Office of Planning from maps of varying scale provided by Oahu Sugar Company, 1989. WAISUGCO - Digitized by Office of Planning from maps of varying scale provided by Waialua Sugar Company, date unknown. History: Digitized by Office of Planning staff in ArcInfo. See above for sources and dates. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Collection of layers from various sources depicting land that was at one time in pineapple or sugarcane production. Not all prior ag lands are represented. Source: Various: OAHPINE - Digitized by Office of Planning from 1:24,000 ortho-photo quads, 1989. Attributes derived from various sugar company maps. NISUGAR - Digitized by Office of Planning, from unknown source, 1991. OAHSUGCO - Digitized by Office of Planning from maps of varying scale provided by Oahu Sugar Company, 1989. WAISUGCO - Digitized by Office of Planning from maps of varying scale provided by Waialua Sugar Company, date unknown. History: Digitized by Office of Planning staff in ArcInfo. See above for sources and dates. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Collection of layers from various sources depicting land that was at one time in pineapple or sugarcane production. Not all prior ag lands are represented. Source: Various: OAHPINE - Digitized by Office of Planning from 1:24,000 ortho-photo quads, 1989. Attributes derived from various sugar company maps. NISUGAR - Digitized by Office of Planning, from unknown source, 1991. OAHSUGCO - Digitized by Office of Planning from maps of varying scale provided by Oahu Sugar Company, 1989. WAISUGCO - Digitized by Office of Planning from maps of varying scale provided by Waialua Sugar Company, date unknown. History: Digitized by Office of Planning staff in ArcInfo. See above for sources and dates. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Abstract:
This dataset shows the locations of all hospitals in operation in Washington State in 2008. These include military, chemical dependency, acute care and psychiatric hospitals.
Purpose:
To provide point locations for general cartographic uses. This dataset is used for DOH's CAH, CHARS and Bioterrorism programs.
Supplemental_Information:
This dataset was created using the DOH's standard geocoding process. This guideline is available at
Rain gauges located on the main Hawaiian Islands Source: DLNR, CWRM, Hing Tai Lee, 1997 History: Rain gauge sites were generated in Arc/Info using latitude/longitude coordinates contained in the database. Attributes were then "JOINED" to the point layer in 1997 by Hing Tai Lee, DLNR. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This data set was provided by open street maps and provides great boundary files for Natural Areas in Cyprus. Natural Areas include river banks, forests, parks, and water bodies. data includes names with many of the attributes, however many are just polygon features with a type.
This dataset includes waterways, including rivers streams, aqueducts and canals. Data was found online at the Openstreetmaps Geofabrik site.
Abstract: This dataset shows the boundaries of the 35 local health jurisdictions in Washington State. Purpose: To provide a layer for general cartographic uses.
This data was provided by the people over at Open street maps, and shows various points of interest throughout Cyprus. This point level data is divided by feature type, which includes restaurants, places of worship, fuel, parking, and various other points. The Data also has a name attribute which gives more specific details for the location.
Median annual rainfall in millimeters and inches. Source: Giambelluca, T.W., Nullet, M.A., and Schroeder, T.A. 1986. Hawaii Rainfall Atlas, Report R76, Hawaii Division of Water and Land Development, Department of Land and Natural Resources, Honolulu. vi + 267 p. History: Digitized in early 1990's in Arc/Info by the Office of Planning using ArcEdit from island-wide mylar maps (obtained from DLNR/DOWALD) of varying scales and sizes. Scales varied by island, and were as follows: Kauai 1-1/4" = 2 mi. ( ~ 1:101,376) Oahu 1" = 2 mi. ( ~ 1:126,720) Molokai 1" = 2 mi. ( ~ 1:126,720) Lanai 1" = 2 mi. ( ~ 1:126,720) Maui 13/16" = 2 mi. ( ~ 1:155,963) Hawaii 3" = 16 mi. ( ~ 1:337,920) February, 2004: 500 foot isohyet in west Hawaii was edited to close polygon. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This data set comes from open street maps. Data includes information about the roadways throughout Cyprus. The roadways are broken down by type, which includes primary, secondary, tertiary, paths, cycling routes, etc..., and roadways are more specifically broken down by name. data was uploaded as a polyline file.
Abstract: Locations of retail pharmacies, hospital pharmacies, pharmaceutical wholesalers and pharmaceutical manufacturers. Purpose: This dataset was made as part of a project to map Washington's Health System.
this data was provided by Open street maps. data includes detailed poly line files showing the locations of various waterways throughout Cyprus, including rivers, streams, canals, and so on. there is also an attribute for Name when it is available and width of the waterway feature.
Abstract: The Rural Health Clinics program was established to stabilize access to outpatient primary care in underserved rural areas and encourage the use of physicians, physician assistants, nurse practitioners, and certified nurse midwives. Under the program, the U.S. Center for Medicare and Medicaid Services (CMS) designates private and non-profit clinics meeting certain conditions for certification as Rural Health Clinics (RHCs). RHCs are eligible for enhanced Medicare and Medicaid reimbursement. Purpose: This dataset was made as part of a project to map Washington's Health System.
Abstract: The Community & Migrant Health Centers server the low-income, uninsured, and underserved populations of Washington State. These health centers serve low income and other persons with limited access to health care. Purpose: This dataset was made as part of a project to map Washington's Health System.
Abstract: An ambulatory surgery center (ASC) is a health care facility that specializes in providing surgery, pain management and certain diagnostic (e.g., colonoscopy) services in an outpatient setting. Overall, the services provided can be generally called procedures. In simple terms, ASC-qualified procedures can be considered procedures that are more intensive than those done in the average doctor's office but not so intensive as to require a hospital stay. An ambulatory surgery center and a specialty hospital often provide similar facilities and support similar types of procedures. The specialty hospital may provide the same procedures or slightly more complex ones and the specialty hospital will often allow an overnight stay. Ambulatory surgery centers do not provide emergency services. Purpose: This dataset was made as part of a project to map Washington's Health System.
"Restricted Watersheds" are those watersheds where water supplies are vulnerable to contamination by public access and are therefore restricted to public access. Access to those watersheds requires permits. For detailed information, refer to Hawaii Administrative Rules, Title 13, DLNR, Subtitle 5 Forestry and Wildlife, Part 1 Forestry, Chapter 105, Rules Regulating Restricted Watersheds. Creator: DOFAW Date Created: February 2005 Source: Survey maps by the State of Hawaii, Department of Accounting and General Services, Survey Division Methods: The boundaries were digitized based on the C&C and the GDSI parcel boundaries as well as DRGs (Digital Raster Graphics). This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Abstract: This dataset shows the locations of Native American Health Centers in Washington State. Purpose: This dataset was made as part of a project to map Washington's Health System.
Abstract: Core Safety Net clinic locations. Purpose: This dataset was made as part of a project to map Washington's Health System.
This dataset provides information on known and undiscovered oil contained in fields within the USGS-defined Assessment Units. An assesment unit is a volume of rock that contains fields with similar characteristics. Note: -9999 are missing values
Abstract: Point locations representing blood donation centers. Purpose: This dataset was made as part of a project to map Washington's Health System.
Abstract: Women, Infants & Children Nutrition Program Clinics
Purpose:
This dataset was made as part of a project to map Washington's Health System.
Supplemental_Information:
WIC is a nutrition program that helps pregnant women, new mothers, and young children eat well, learn about nutrition and stay healthy. Nutrition education and counseling, nutritious foods, and assistance with access to health care are provided to low-income women, infants, and children through the Special Supplemental Nutrition Program for Women, Infants and Children, popularly known as WIC.
Abstract: Women, Infants and Children (WIC) authorized retail locations. Purpose: This dataset was made as part of a project to map Washington's Health System.
Abstract: Health Service Corp Providers Purpose: This dataset was made as part of a project to map Washington's Health System.
this data set from open street maps gives the locations of various buildings throughout the Czech Republic. Buildings are represented as polygons and many have an attribute giving the name of the building, if the data is available. data was uploaded as a polygon shape file.
this data set, provided by openstreetmap, shows the locations of various natural areas all over the Czech Republic. Natural areas consist of forests, river banks, water, and parks. data was uploaded as a polygon shapefile
This dataset provides information on known and undiscovered natural gas (including NGL) within the USGS-defined Assessment Units. An assessment unit is a volume of rock that contains fields with similar characteristics.
This Data set was found at Open Street Maps Geofabrik website. this data set shows various points of interest in the Czech Republic. Points of interest include restaurants, fuel, hospitals, schools, cafes, parking, places of worship, and bars / pubs. data includes an attribute for Feature type, and feature name when available.
This dataset explores Local general government revenue and expenditures in Canada by province and territory for 2005. .. : not available for a specific period of time. 1. Year ending December 31. Source: Statistics Canada, CANSIM, table (for fee) 385-0004. Last modified: 2008-06-19.
This dataset shows over 200 buildings in Norway. Each building is represented as a polygon.
This dataset shows natural areas in Norway. Natural Areas consist of water, riverbanks, parks, forests, and other feature types. This dataset has almost 4000 features for various natural areas.
This dataset shows points of interest in Norway. Features included in this dataset include, libraries, post offices, places of worship, parking, restaurants, cafes, fuel, parking, police, theaters, cinemas, prisons, universities, camp sites and other public places. there are over 3,000 points of interest included.
This dataset shows the Rail system of Norway, including rails and trams. attributes include name of the rail, and type of rail. Data was downloaded from openstreetmap geofabrik.
This dataset includes waterways, including rivers streams, aqueducts and canals. Data was found online at the Openstreetmaps Geofabrik site.
This Dataset is part of three datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout Eastern Norway. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. Because the dataset for the entire country was too big, it was divided into eastern, central and western Norway.
Estimated Daily Solar Insulation Contours, in calories/sq.cm/day Source: State Department of Planning and Economic Development, Energy Division "Sunshine Maps," 1985. Source maps were of varying scales, with each island depicted on an 11x17 paper map sheet. Per DBEDT Energy Division, July, 2006: "The solar maps were put together several years ago by a consultant we hired to review old Hawaii Sugar Planters Associaiton annemometer solar data collected from a number of different sites." History: Digitized by OP staff in Arc/Info using ArcEdit, 1992. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Stream gages as identified by the Commission on Water Resource Management, mid-1990's(?). This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
There is one T&E coverage for each island. Each island is divided into distinct zones of T&E species concentration, ranging from 'low' concentration to 'very high' concentration of T&E plant species. It should be noted, however, that for these particular coverages, concentration does not necessarily reflect the rareness of a particular plant species. In other words, an area designated as having a 'low' concentration of T&E species may include the last known occurrence of a particular plant species. Source: All island coverages were digitized from Division of Forestry and Wildlife's mylar threatened and endangered (T&E) plant species maps. The maps were all at a scale of 1:62,500 except Hawaii, which was at a scale of 1:250,000. DOFAW's maps were created using The Nature Conservancy's Rare & Endangered Species maps. History: Digitized by the Office of Planning from source describe above, March, 1992. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This dataset explores the number of marriages by province and territory in Canada from 2003 - 2007 by year. : preliminary. Source: Statistics Canada, CANSIM, table (for fee) 053-0001. Last modified: 2008-06-25.
New York state assembly district boundaries for the City of New York. These district boundaries represent the redistricting as of the US Census 2000. These districts were created by the Department of City Planning to aid city agencies in administering public services
The City Council Districts are the result of the recent redistricting process, which takes place every ten years to reflect population changes reported in the 2000 Census. These geographies were redrawn by the New York City Council Redistricting Commission. These districts were created by the Department of City Planning to aid city agencies in administering public services.
US House of Representatives Congressional District boundaries for the City of New York. These district boundaries represent the redistricting as of the US Census 2000. These districts were created by the Department of City Planning to aid city agencies in administering public services.
New York City Board of Elections election districts for the City of New York. These district boundaries represent the redistricting as of the US Census 2000. These districts were created by the Department of City Planning to aid city agencies in administering public services
The New York City Municipal Court boundaries. These districts were created by the Department of City Planning to aid city agencies in administering public services.
This Dataset is part of three datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout central Norway. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. Because the dataset for the entire country was too big, it was divided into eastern, central and western Norway.
Locations of water quality monitoring sites Source: U.S. EPA provided latitude/longitude coordinates for STORET sites; SOH/DOH provided latitude/longitude coordinates for ODES sites. History: Files provided by sources above were converted to point cover- ages using the Arc/Info GENERATE command by Ogden Environmental in 1994 in Arc/Info version 6.1.2. Generated coverages were then projected into UTM Zone 4, Old Hawaiian Datum. Note 1: Fresh water monitoring sites were not checked by DOH. Several were not located directly on streams (based on lat/long) - Ogden recommended locational checks on these sites. Note 2: For more information, refer to "Final Report: Comprehensive Management of Coastal Resources, Phase1," Ogden Environmental Services for the Coastal Zone Management Program, Office of Planning, June 1994. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This Dataset is part of three datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout Western Norway. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. Because the dataset for the entire country was too big, it was divided into eastern, central and western Norway.
New York State Senate district boundaries for the City of New York. These district boundaries represent the redistricting as of the US Census 2000. These districts were created by the Department of City Planning to aid city agencies in administering public services.
Community Districts are mandated by the city charter to review and monitor quality of life issues for New York City neighborhoods. These districts were created by the Department of City Planning to aid city agencies in administering public services
Abstract: Facilities providing kidney dialysis services. Purpose: This dataset was made as part of a project to map Washington's Health System.
The poly shapefile shows total June, 2008 donations to Obama campaign by individual donors at the county level. Also included are the count of individual donations by county and donations at county level so far. Much of the donations come from counties in North-East and West. Nearly 2,260 counties have at least one or more donation out of 3,111 counties in the lower 48 states. The top five counties in terms of total June donations are: 1. Los Angeles, CA ($ ~1.51 mill) 2. New York, NY ($ ~1.48 mill) 3. Cook, IL ($ ~0.92 mill) 4. Wash D.C., DC ($ ~0.86 mill) 5. King, WA ($ ~0.82 mill)
Abstract:
This dataset shows the locations of all Medical Testing Sites (MTS) operating in Washington State in 2005. These include level "A" labs capable of performing blood or CSF cultures.
Purpose:
To provide point locations for general cartographic uses. This dataset was created for the Critical Infrastructure project with the EMD.
Supplemental_Information:
This dataset was created using the DOH's standard geocoding process. This guideline is available at
Abstract: Locations of licensed temporary farmworker housing facilities. These include cherry harvest and migrant camps. Purpose: This dataset was made as part of a project to map Washington's Health System.
Abstract: This dataset provides the federally designated health professional shortage areas in Washington State for the primary care designations. Purpose: This dataset is suitable for general cartographic purposes and spatial analyses.
Abstract: This dataset provides the federally designated health professional shortage areas in Washington State for the Mental care designations. Purpose: This dataset is suitable for general cartographic purposes and spatial analyses.
Abstract: This dataset provides the federally designated health professional shortage areas in Washington State for the Dental care designations. Purpose: This dataset is suitable for general cartographic purposes and spatial analyses.
Abstract: Nursing services must be available 24-hours a day to residents whose conditions are complex and/or medically unstable and who require frequent medical or nursing intervention. In addition, they provide at least daily nursing supervision to residents needing health services and restorative or maintenance assistance with medications, eating, dressing, walking, and other personal care needs. Purpose: This dataset was made as part of a project to map Washington's Health System.
The poly shapefile shows the individual donations to Clinton campaign aggregated at the county level for the lower 48 states. Also included is the number of donor records by county and the total donation received so far during this election cycle from a county. 1,423 counties out of 3,111 in the lower 48 states donated to Clinton campaigns in June, 2008. The top five counties in terms of aggregated individual donations are: 1. Los Angeles, CA (~ $92K) 2. New York, NY (~ $64K) 3. Wash DC, DC (~ $33K) 4. King, WA (~ $33K) 5. Cook, WA (~ $33K) Note that Obamas each donated the maximum possible $2,300 to Clinton campaign. The FEC individual donor data was extracted from Clinton campaign finance report and then geocoded and aggregated at the county level.
Abstract: Adult Family Homes are regular neighborhood homes where staff assumes responsibility for the safety and well-being of the adult. A room, meals, laundry, supervision and varying levels of assistance with care are provided. Some provide occasional nursing care. Some offer specialized care for people with mental health issues, developmental disabilities or dementia. The home can have two to six residents and is licensed by the state. Purpose: This dataset was made as part of a project to map Washington's Health System.
Abstract: Boarding Homes are facilities in a community setting where staff assumes responsibility for the safety and well-being of the adult. Many boarding homes call themselves "Assisted Living" facilities. Housing, meals, laundry, supervision, and varying levels of assistance with care are provided. Some provide nursing care. Some offer specialized care for people with mental health issues, developmental disabilities, or dementia. The home can have seven or more residents and is licensed by the state. Purpose: This dataset was made as part of a project to map Washington's Health System.
Abstract: Locations of facilities surveyed under the Child Group Survey Program at DOH. Purpose: This dataset was made as part of a project to map Washington's Health System.
Abstract: Locations of residential treatment facilities. These include Alcoholism Treatment, Chemical Dependency, Adult Treatment, Residential Rehabilitation and Adult Mental Health Facilities. Purpose: This dataset was made as part of a project to map Washington's Health System.
Abstract: DOH approved Farmers Markets for the WIC program. Purpose: This dataset was made as part of a project to map Washington's Health System.
Abstract:
This dataset shows the boundaries for shellfish biotoxin closure zones in Puget Sound and Washington coastal areas.
Purpose:
To define areas of marine waters that are managed distinctly for shellfish biotoxin closures. These areas are used to communicate closures to the general public. The areas also support the Internet biotoxin bulletin application at
Abstract: This dataset shows the boundaries of commercial shellfish growing areas in Washington State. The boundaries cover the Puget Sound and the Washington coastal areas. Purpose: These boundaries are used to communicate closures and restrictions to commercial harvesters and to validate license renewals in the Office of Shellfish and Water Protection.
Abstract:
This dataset shows the public beaches in Washington State that the DOH recomends for shellfish harvesting. The Office of Shellfish and Water Protection monitors water quality and changes the status of these beaches on a regular basis.
Purpose:
This dataset is used to display open and closed beaches. It also supports the Shellfish Biotoxin Program mapping site at
Abstract: Emergency Medical Services Planning Regions Purpose: This dataset was made as part of a project to map Washington's Health System.
Abstract: Trauma Response Planning Areas Purpose: This dataset was made as part of a project to map Washington's Health System.
Abstract: Public Health Emergency Preparedness and Response Regions Purpose: This dataset was made as part of a project to map Washington's Health System.
This data was provided by the very nice people over at Open street map. Data includes a detailed map of the Roads in the Czech Republic, including attributes for the Type of roadway (primary, secondary, paths, etc...) and Road names. data was uploaded as a Poly line shape file.
Waterfalls Source: USGS Digital Line Graphs, 1983 version; DLNR Division of Aquatic Resources (DAR),2004. History: Points were extracted from the 1983 DLG hydrography layers. DAR coded points with the HSA stream code, and the HSA stream name and additional attribute data. OP Staff removed USGS DLG Major/Minor codes and HSA and DAR codes, leaving only Waterfall name, stream name and tributary name. OP staff also merged islands together and projected into NAD83. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Abstract: This spatial dataset contains Washington State Prisons represented as point locations. Purpose: This dataset was made as part of a project to map Washington's Health System.
Abstract: Point locations representing work release facilities. Purpose: This dataset was made as part of a project to map Washington's Health System.
Abstract: This datset shows police jurisdictions in Washington State. Purpose: This dataset is intended for general cartography and spatial analyses. Supplemental_Information: This is an old dataset that was found on the Dept of Health local area network without any supporting documentation. Jurisdiction boundaries are likely to have changed fom those shown herein. The date of currency of these data are unknown.
Watershed Unit Boundaries for the 8 major hawaiian islands, generated in Arc/Info and GRID using USGS DEM data. Source: GDSI, 1995 History: General: Most arcs were created automatically from digital elevation model (DEM) data of Arc/INFO GRID watershed commands as described in the report "State Definition and Delineation of Watersheds" submitted along with these coverages. Arcs which could not be automatically created were manually digitized either on-screen (for small arcs and those across nearly flat areas) or from paper topographic quadrangle maps 1:24,000 scale (for longer arcs). Coastline arcs were copied from the ALLCOAST coverage from the Office of State Planning. There is an arc attribute to identify the source of each arc. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Abstract: Locations of large onsite septic systems with a design flow of 3,500 - 14,500 gallons per day. Department of Ecology regulates larger systems within their Facility Site database. Purpose: This dataset was made as part of a project to map Washington's Health System.
Watershed Unit Boundaries for the 8 major hawaiian islands, generated in Arc/Info and GRID using USGS DEM data. Source: GDSI, 1995 History: General: Most arcs were created automatically from digital elevation model (DEM) data of Arc/INFO GRID watershed commands as described in the report "State Definition and Delineation of Watersheds" submitted along with these coverages. Arcs which could not be automatically created were manually digitized either on-screen (for small arcs and those across nearly flat areas) or from paper topographic quadrangle maps 1:24,000 scale (for longer arcs). Coastline arcs were copied from the ALLCOAST coverage from the Office of State Planning. There is an arc attribute to identify the source of each arc. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This data was provided by open street maps. Data includes a detailed poly line shape showing the locations of various waterways, canals, river,s and streams throughout the Czech Republic. Includes attributes for Name, Type of Waterway, and Width is available for some features.
Lines from 1:24,000 National Wetlands Inventory Maps, 1978. Source: U.S. Department of the Interior, Fish and Wildlife Service History: Received in ditigal format (DLG) from U.S. Fish and Wildlife Service, 1992. OP Staff separated into polygon and line coverages using DISSOLVE command and ArcEdit, 1993, 1999. Converted to NAD 83, April, 2003. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Polygons from 1:24,000 National Wetlands Inventory Maps, 1978. Source: U.S. Department of the Interior, Fish and Wildlife Service History: Received in ditigal format (DLG) from U.S. Fish and Wildlife Service, 1992. OP Staff separated into polygon and line coverages using DISSOLVE command and ArcEdit, 1993, 1999. OP staff further edited by deleting internal and ocean polygons, April, 2003. Converted to NAD 83, April, 2003 This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This dataset explores the Annual average number of employees in the military by province for 2003 - 2007 in Canada. x : suppressed to meet the confidentiality requirements of the Statistics Act Notes: - Employment data are not in full-time equivalent and do not distinguish between full-time and part-time employees. - As at December 31. 1. Civilian employees are excluded. Reservists are included as of January 1974. Source: Statistics Canada, CANSIM, table (for fee) 183-0004 and Catalogue no 68-213-XIB. Last modified: 2008-05-29.
File of Emergency Shelters in Maui County based on the list published on the County of Maui website, Civil Defense. Data is dated 12/1/2005. Addresses for locations is provided. Four shelters were removed from the list on 11/21/06 based on information from Civil Defense. (Paia Elementary, Kaunakakai Elementary, Dole Community Center and Lahaina Civic Center) Purpose: To locate emergency shelters and to identify if they are Tsunami and/or Hurricane shelters. Supplemental_Information: Majority of shelters are located at schools. Those shelters were co-located with school locations based on the 2006 school data developed by Maui County. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Emergency Shelter locations for the State of Hawaii. Source(s): Pacific Disaster Center. Dated: 07/01/2005. Maui County. Dated: 11/21/06. cont. with metadata link This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Digital Flood data for islands of Niihau, Kauai, Oahu, Maui, Molokai, and Hawaii. Source: Federal Emergency Management Agency (FEMA); Scanned and compiled by FEMA from 1:24,000 Digital Flood Insurance Rate Maps (DFIRMs). History: Received from Pacific Disaster Center, 1996. Dissolved by ZONE item in ARC by Office of Planning, 2003. Updated boundaries for Niihau, Kauai, and Oahu with 2005 data, 2007.. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Lava Flow Hazard Zone Maps Source: U.S. Department of the Interior / Geological Survey History: Digitized by the Office of Planning for the USGS, Hawaii Volcanos Obervatory, 1991. See Notes, below. NOTES: (From original lava flow hazard map publication, 1991) This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Lava Flow Hazard Zone Maps Source: U.S. Department of the Interior / Geological Survey History: Digitized by the Office of Planning for the USGS, Hawaii Volcanos Obervatory, 1991. See Notes, below. NOTES: (From original lava flow hazard map publication, 1991) This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Lava Flow Hazard Zone Maps Source: U.S. Department of the Interior / Geological Survey History: Digitized by the Office of Planning for the USGS, Hawaii Volcanos Obervatory, 1991. See Notes, below. NOTES: (From original lava flow hazard map publication, 1991) This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Overwash resulting from storm surge during Hurricane Iniki, which struck Hawaii on September 11, 1992 Source: Aerial Photographs taken shortly after Hurricane Iniki History: Digitized in 1992 in Arc/Info under a contract with Chip Fletcher for CZM. Overwash was determined from aerial photography flown after the hurricane. For more information, contact the State Coastal Zone Management Program. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This dataset explores Mortgage loan approvals, new residential construction and existing residential properties in Canada by province in 2007. 1. Data are limited to fully documented loans approved by Canada Mortgage and Housing Corporation or by approved lenders. Source: Statistics Canada, CANSIM, table (for fee) 027-0017. Last Modified: 2008-06-24.
Tsunami Evacuation Zones for the islands of Kauai, Oahu, Molokai, Lanai, Maui and Hawai Source: Pacific Disaster Center (PDC), 1998. History: (Text written by PDC Staff, 1998): Tsunami evacuation layers for the State were digitized from Tsunami Evacuation Zone proof maps provided by the State of Hawaii Civil Defense, and published in County Telephone Directories by GTE in 1991. These maps were produced by the Joint Institute for Marine and Atmospheric Research, at the University of Hawaii, in cooperation with the State of Hawaii Civil Defense System. Data from these maps were digitized in the GIS program Arc View Version 3.0a using features from island coastlines, roads, and the USGS 7.5 minute digital raster graphics (DRGs). Specific distances given on the maps (for example: "1900 feet from Farrington Highway") were incorporated into the digitization. Where no distances were given, evacuation zone boundaries were estimated by topograph- ical characteristics, or approximated using surrounding features such as roads. In cases where evacuation zone bound- aries bordered roadways, selected roads from state DLG road layer were extracted into the tsunami evacuation shape file for accuracy. No details of scale accompanied the paper proofs. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Readings of tsunami wave heights at various locations from the 1946, 1952, 1957, 1960 and 1964 Hawaii tsunamis. Source: 'Tsunami Wave Runup Heights In Hawaii,' Harold G. Loomis, May, 1976. History: Digitized by Office of Planning Staff in October, 1999, using publication noted above. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Abstract: Ground water aquifers in Washington State. Purpose: The purpose of this coverage is to show the areal extent and textual designations of aquifers in Washington State.
Ratings of risk from wild-land fires for major populated areas on the Hawaiian islands Source: Department of Land and Natural Resources, Division of Forestry and Wildlife, Fire Management Program, 2007. History: Guided by the National Fire Plan and the Healthy Forests Restoration Act (HFRA), state wildland fire-fighting agencies and their federal and local partners are responsible for identifying communities at risk from wildland fires. Based on the guidelines developed by the National Association of State Foresters in June 2003, the Division of Forestry and Wildlife identified at-risk wildland-urban interface communities in the major Hawaiian islands and rated each community's risk from wild-land fires (reference: http://www.stateforesters.org/reports/COMMUNITIESATRISKFG.pdf). Data were collected and completed during the years 2006 and 2007. This database will be used to develop Community Wildfire Protection Plans.
Abstract: School Districts, WA State based on Census TIGER/Line Files, 2007 First Edition release. Purpose: Statistical enumeration, cartographic display and analysis. Language_of_Dataset: en Supplemental_Information: This data set was extracted from the TIGER/Line files, 2007 First Edition files. The geographic coverage area is based on January 1, 2000 legal boundaries in order to provide consistency with Census 2000 and specific Washington State Office of Financial Management data products. These boundaries reflect the three mile territorial limit which extends into large water bodies. The boundaries do not depict a detailed coastline. In Douglas, Franklin, Grays Harbor, Island, Jefferson, King, Kitsap, Lewis, Pierce, Thurston, Wahkiakum, and Whatcom Counties there is improved spatial accuracy as the result of the MAF/TIGER Accuracy Improvement Project. The TIGER/Line files have been modified by the Office of Financial Management (OFM) by: 1) reprojecting the data to the State's standard horizontal datum and coordinate system, 2) improving feature attribution, 3) and ensuring that the data are compatible with Census 2000 and other OFM data sets. For additional assistance, please contact a Forecast Analyst- GIS Specialist at the Washington State Office of Financial Management, General Administration Building, Suite 318, Olympia, WA 98504-3113 || Phone: 360-902-0599 || Fax: 360-725-5174 || Email: ofm.forecasting@ofm.wa.gov.
This dataset contains those aids to navigation located in marine waters within the vicinity of the main Hawaiian Islands and recorded on the nautical charts. Source: NOAA Raster Nautical ChartsThis dataset contains those aids to navigation located in marine waters within the vicinity of the main Hawaiian Islands and recorded on the nautical charts. Source: NOAA Raster Nautical Charts History: The raster nautical charts were first reprojected from their original projection/datum to UTM Zone 4, Old Hawaiian using NOAA's Nautical Chart Reprojector v1.8.3. NOAA's ArcView ChartViewer extension was used to display the reprojected nautical charts in ArcView v3.2. Subject areas were then digitized off the individual nautical charts and merged into a single dataset/shapefile which covers the entire state. The dataset was then transformed to UTM Zone 4, NAD 83, to adhere to new project requirements, using the Hawaii Datums and Projections extension in ArcView. Completed December, 2002. History: The raster nautical charts were first reprojected from their original projection/datum to UTM Zone 4, Old Hawaiian using NOAA's Nautical Chart Reprojector v1.8.3. NOAA's ArcView ChartViewer extension was used to display the reprojected nautical charts in ArcView v3.2. Subject areas were then digitized off the individual nautical charts and merged into a single dataset/shapefile which covers the entire state. The dataset was then transformed to UTM Zone 4, NAD 83, to adhere to new project requirements, using the Hawaii Datums and Projections extension in ArcView. Completed December, 2002.
This dataset contains those anchorage areas located in marine waters within the vicinity of the main Hawaiian Islands and recorded on the nautical charts. Source: NOAA Raster Nautical Charts History: The raster nautical charts were first reprojected from their original projection/datum to UTM Zone 4, Old Hawaiian using NOAA's Nautical Chart Reprojector v1.8.3. NOAA's ArcView ChartViewer extension was used to display the reprojected nautical charts in ArcView v3.2. Subject areas were then digitized off the individual nautical charts and merged into a single dataset/shapefile which covers the entire state. The dataset was then transformed to UTM Zone 4, NAD 83, to adhere to new project requirements, using the Hawaii Datums and Projections extension in ArcView. Completed December, 2002. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
As Defined by FEMA: What is a FIRM? It is the official map of a community on which FEMA has delineated both the special hazard areas and the risk premium zones applicable to the community. Why would I need to use a FIRM? * Private citizens and insurance and brokers use the FIRM to locate properties and buildings in flood insurance risk areas. * Community officials use the FIRM to administer floodplain management regulations and to mitigate flood damage. * Lending institutions and federal agencies use the FIRM to locate properties and buildings in relation to mapped flood hazards, and to determine whether flood insurance is required when making loans or providing grants following a disaster for the purchase or construction of a building.
600 foot (100 fathom) bathymetric contour needed to define seaward boundary of Water Quality Classification zones. Source: Marine Atlas of the Hawaiian Islands, A.P. Balder, 1992. Supplemented with 600 foot contour on USGS quads, where available. Source maps varied in scale from 1:80,000 to 1:600,000, with RMS errors varying from .002 to .010. History: Compiled and digitized by Ogden Environmental in 1994 in Arc/Info version 6.1.2 using source maps described above. Note: For more information, refer to "Final Report: Comprehensive Management of Coastal Resources, Phase1," Ogden Environmental Services for the Coastal Zone Management Program, Office of Planning, June 1994. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Abstract: State Legislative Districts, WA State based on Census TIGER/Line Files, 2007 First Edition release. Purpose: Statistical enumeration, cartographic display and analysis. Language_of_Dataset: en Supplemental_Information: This data set was extracted from the TIGER/Line files, 2007 First Edition files. The geographic coverage area is based on the legislative district boundaries approved by the Washington State Redistricting Commission on December 16, 2001 and amended by the State Legislature on February 8, 2002. These boundaries reflect the three mile territorial limit which extends into large water bodies. The boundaries do not depict a detailed coastline. In Douglas, Franklin, Grays Harbor, Island, Jefferson, King, Kitsap, Lewis, Pierce, Thurston, Wahkiakum, and Whatcom Counties there is improved spatial accuracy as the result of the MAF/TIGER Accuracy Improvement Project. The TIGER/Line files have been modified by the Office of Financial Management (OFM) by: 1) reprojecting the data to the State's standard horizontal datum and coordinate system, 2) improving feature attribution, 3) and ensuring that the data are compatible with Census 2000 and other OFM data sets. For additional assistance, please contact a Forecast Analyst- GIS Specialist at the Washington State Office of Financial Management, General Administration Building, Suite 318, Olympia, WA 98504-3113 || Phone: 360-902-0599 || Fax: 360-725-5174 || Email: ofm.forecasting@ofm.wa.gov.
Abstract: Incorporated Places, WA State based on Census TIGER/Line Files, 2007 First Edition release. Purpose: Statistical enumeration, cartographic display and analysis. Language_of_Dataset: en Supplemental_Information: This data set was extracted from the TIGER/Line files, 2007 First Edition files. The geographic coverage area is based on January 1, 2000 legal boundaries in order to provide consistency with Census 2000 and specific Washington State Office of Financial Management data products. These boundaries reflect the three mile territorial limit which extends into large water bodies. The boundaries do not depict a detailed coastline. In Douglas, Franklin, Grays Harbor, Island, Jefferson, King, Kitsap, Lewis, Pierce, Thurston, Wahkiakum, and Whatcom Counties there is improved spatial accuracy as the result of the MAF/TIGER Accuracy Improvement Project. The TIGER/Line files have been modified by the Office of Financial Management (OFM) by: 1) reprojecting the data to the State's standard horizontal datum and coordinate system, 2) improving feature attribution, 3) and ensuring that the data are compatible with Census 2000 and other OFM data sets. For additional assistance, please contact a Forecast Analyst- GIS Specialist at the Washington State Office of Financial Management, General Administration Building, Suite 318, Olympia, WA 98504-3113 || Phone: 360-902-0599 || Fax: 360-725-5174 || Email: ofm.forecasting@ofm.wa.gov.
Conveyance zones define areas that are likely to have overland flow as part of the floodplain. In conveyance areas, the City requires a conveyance analysis to ensure that development will not reduce the conveyance of the floodplain.
Abstract: Census Tracts, WA State based on Census TIGER/Line Files, 2007 First Edition release. Purpose: Statistical enumeration, cartographic display and analysis. Language_of_Dataset: en Supplemental_Information: This data set was extracted from the TIGER/Line files, 2007 First Edition files. The geographic coverage area is based on January 1, 2000 legal boundaries in order to provide consistency with Census 2000 and specific Washington State Office of Financial Management data products. These boundaries reflect the three mile territorial limit which extends into large water bodies. The boundaries do not depict a detailed coastline. In Douglas, Franklin, Grays Harbor, Island, Jefferson, King, Kitsap, Lewis, Pierce, Thurston, Wahkiakum, and Whatcom Counties there is improved spatial accuracy as the result of the MAF/TIGER Accuracy Improvement Project. The TIGER/Line files have been modified by the Office of Financial Management (OFM) by: 1) reprojecting the data to the State's standard horizontal datum and coordinate system, 2) improving feature attribution, 3) and ensuring that the data are compatible with Census 2000 and other OFM data sets. For additional assistance, please contact a Forecast Analyst- GIS Specialist at the Washington State Office of Financial Management, General Administration Building, Suite 318, Olympia, WA 98504-3113 || Phone: 360-902-0599 || Fax: 360-725-5174 || Email: ofm.forecasting@ofm.wa.gov.
This dataset contains those boating facilities located on the main Hawaiian Islands. Source : NOAA Raster Nautical Charts, DLNR/DOBAR, Bryans Sectional Maps, Charlie's Charts of the Hawaiian Islands. History: This dataset was generated using a variety of sources. The raster nautical charts were first reprojected from their original projection/datum to UTM Zone 4, NAD 83 using NOAA's Nautical Chart Reprojector v1.8.3. NOAA's ArcView ChartViewer extension was used to display the reprojected nautical charts in ArcView v3.2. Data points were then plotted using the individual nautical charts as base maps. The data was then merged into a single dataset/shapefile which covers the entire state. Completed December, 2002.
Principal bodysurfing sites of the main Hawaiian islands, with site ratings of cultural significance and ability level required. Source: "Statewide Recreation Resources Inventory: Principal Bodysurfing Sites" by John R. K. Clark for State of Hawaii, DLNR, State Parks, 1987. History: Sites were depicted in the report on 8-1/2 x 11 xerox copies of portions of the 1:24,000 USGS topo maps. Using these maps, the sites were then screen digitized in Arc/Info version 7.x by Office of Planning staff. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Principal bodysurfing sites of the main Hawaiian islands, with site ratings of cultural significance and ability level required. Source: "Statewide Recreation Resources Inventory: Principal Bodysurfing Sites" by John R. K. Clark for State of Hawaii, DLNR, State Parks, 1987. History: Sites were depicted in the report on 8-1/2 x 11 xerox copies of portions of the 1:24,000 USGS topo maps. Using these maps, the sites were then screen digitized in Arc/Info version 7.x by Office of Planning staff. Principal bodysurfing sites of the main Hawaiian islands, with site ratings of cultural significance and ability level required. Source: "Statewide Recreation Resources Inventory: Principal Bodysurfing Sites" by John R. K. Clark for State of Hawaii, DLNR, State Parks, 1987. History: Sites were depicted in the report on 8-1/2 x 11 xerox copies of portions of the 1:24,000 USGS topo maps. Using these maps, the sites were then screen digitized in Arc/Info version 7.x by Office of Planning staff.
This dataset contains those marine bottom type/seabed classifications within the vicinity of the main Hawaiian Islands and recorded on the nautical charts. Source : NOAA Raster Nautical Charts History: The raster nautical charts were first reprojected from their original projection/datum to UTM Zone 4, Old Hawaiian using NOAA's Nautical Chart Reprojector v1.8.3. NOAA's ArcView ChartViewer extension was used to display the reprojected nautical charts in ArcView v3.2. Objects were then digitized off the individual nautical charts and merged into a single dataset/shapefile which covers the entire state. The dataset was then transformed to UTM Zone 4, NAD 83, to adhere to new project requirements, using the Hawaii Datums and Projections extension in ArcView. Completed December, 2002. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This dataset explores the number of motor vehicle registrations by province in Canada in 2007. 1. Off road vehicles include snowmobiles, dune buggies and amphibious vehicles. Source: Statistics Canada, CANSIM, table (for fee) 405-0004. Last Modified: 2008-02-27.
Abstract: United States Congressional legislative boundaries within Pennsylvania as set forth in Act 34 of 2002. This layer was digitized by PADOT from maps generated by the Reapportionment Commission for the Bureau of Commissions, Elections and Legislation Pennsylvania Dept. of State. These boundaries were used as the legislative district boundaries for the November 2002 general election and are currently being contested in the judicial system. The current layers are these same district boundary linework attributed with the current legislator's name, party affiliation and home county. Purpose: Public information and support for transportation planning, design and development. Supplemental_Information: This data is intended for use at 1:24,000 or smaller scale.
Abstract: County boundaries within Pennsylvania as delineated for the PennDOT Type 10 general highway map. Purpose: Public information and support for transportation planning, design and development. Supplemental_Information: This data is intended for use at 1:24,000 or smaller scale.
Abstract: Pennsylvania Dept. of Transportation engineering district boundaries for the state of Pennsylvania Purpose: Public information and support for transportation planning, design and development. Supplemental_Information: This data is intended for use at 1:24,000 or smaller scale.
Geographic boundaries of the twelve Bottomfishing Restricted Fishing Areas in the Main Hawaiian Islands (MHI = 8 southeasternmost Hawaiian Islands including Kauai, Ni'ihau and Ka'ula Rock. Source: Digital GIS coverage provided by DLNR-DAR to Garmin International and available on the State of Hawaii GIS Website (www.hawaii.gov/dbedt/gis) History: Areas selected by intersecting surveyed and compiled 100-400 meter depth contours (derived from NOAA point soundings) with areas containing habitat features preferred by bottomfish species (deep slope snappers, carangids and groupers). Surveys by C. Kelly et al. (2006) under contract to DLNR-DAR. Final areas selected revised with public input and based on assessment of commercial fisheries data from the DLNR-DAR. Layer created by M.K. Lowe (2007). This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Abstract: Boundaries of municipalities within Pennsylvania as delineated for the PennDOT Type 10 general highway maps. Additional information comes from the Pennsylvania Bureau of Municipal Services. This layer contains all classifications of municipality including first and second class townships, boroughs, cities and the town. Purpose: Public information and support for transportation planning, design and development. Supplemental_Information: This data is intended for use at 1:24,000 or smaller scale. This layer supercedes and replaces previous versions of padot-borough, padot-city-town, and padot-township.
Abstract: School District boundaries in Pennsylvania from Dept. of Education district maps 2008 Purpose: Public information and support for transportation planning, design and development.
The poly shapefile shows the count road accident deaths by county in the lower 48 states (including Wash D.C.) for the year 2006. The National Highway Traffic Safety Administration (NHTSA) report on "motor vehicle fatalities" provides data on traffic deaths based on the FARS (the Fatality Analysis Reporting System)generated from Police Accident Reports (PAR). There were over 38,580 road accident incidents that resulted in more than 42,640 deaths. More than 59,330 vehicles and nearly 100,000 people (more than 6,180 of which were pedestrians) were involved in these traffic accidents.
Abstract: State senate boundaries within Pennsylvania attributed with names of legislators and party affiliations. Purpose: Public information and support for transportation planning, design and development. Supplemental_Information: This data is intended for use at 1:24,000 or smaller scale.
This Dataset is part of 35 datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout eastern Drenthe in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
This dataset displays the inmate populations for all the Federal Prisons throughout the United States on 7.24.08. This weekly Population Report can be found on the Bureau of Prisons website at bop.gov. These facilities are positioned by their lat/lon and this dataset is updated on a weekly basis.
This Dataset is part of 35 datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout western Drenthe in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
This Dataset is part of 35 datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout northern Flevoland in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
Abstract: State House boundaries within Pennsylvania attributed with names of legislators and party affiliations. Purpose: Public information and support for transportation planning, design and development. Supplemental_Information: This data is intended for use at 1:24,000 or smaller scale.
This Dataset is part of 35 datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout southern Flevoland in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
This Dataset is part of 35 datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout western Friesland in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
This Dataset is part of 35 datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout eastern Gelderland in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
This Dataset is part of 35 datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout north western Gelderland in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
This Dataset is part of 35 datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout western Gelderland in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
This Dataset is part of 35 datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout eastern Groningen in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
Abstract: watershed boundaries for the Delaware River Basin at the HUC 11 level Purpose: Education, research, and envionmental planning.
This Dataset is part of 35 datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout western Groningen in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
The poly shapefile shows the count of drunk drivers involved in traffic accidents with fatalities by county in 2006 for the lower 48 states (including Wash D.C.). The top five counties with the traffic accidents involving drunk driving and fatalities are (DD =drunk drivers involved in TF = traffic fatalities): 1. Los Angeles, CA (DD=342, TF=799) 2. Maricopa, AZ (DD = 270 TF = 563) 3. Riverside, CA (DD=161, TF=355) 4. Cook, IL (DD=161, TF=362) 5. Harris, TX (DD=153, TF=324) Also shown are the number of hit-and-run incidents that resulted in traffic fatalities. The top 3 counties from the above list share this dubious distinction too. The county level data was aggregated from the FARS (Fatality Analysis Report) data published by National Highway Traffic Safety Administration (NHTSA) of USDoT based on Police Accident Reports (PAR) for 2006.
This Dataset is part of 35 datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout northern Limburg in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
Abstract:
This map layer shows tornado touchdown points in Pennsylvania from 1950 to 2004. Statistical data
were obtained from the National Weather Service, Storm Prediction Center
(SPC). The SPC data originate from the Severe Thunderstorm Database and
the National Oceanic and Atmospheric Administration (NOAA) Storm Data
publication. This layer is clipped to Pennsylvania
Purpose:
These data are intended for geographic display and analysis at the national level, and for large regional areas. The data should be displayed and analyzed at scales appropriate for 1:2,000,000-scale data. No responsibility is assumed by the National Weather Service or the National Atlas of the United States in the use of these data.
Supplemental_Information:
This map layer represents an edited version of the information available,
in ASCII format, from the SPC page at
The 2003 urban influence codes form a classification scheme that distinguishes metropolitan counties by size and nonmetropolitan counties by size of the largest city or town and proximity to metro and micro areas. The standard Office of Management and Budget (OMB) metro and nonmetro categories have been subdivided into two metro and 10 nonmetro categories, resulting in a 12-part county codification. This scheme was originally developed in 1993. This scheme allows researchers to break county data into finer residential groups, beyond metro and nonmetro, particularly for the analysis of trends in nonmetro areas that are related to population density and metro influence. The 2003 urban influence codes are not directly comparable with the codes from previous years because of the new methodology used in developing the 2003 metropolitan areas.
This Dataset is part of 35 datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout southern Limburg in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
This Dataset is part of 35 downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout north western Noord Brabant in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
Abstract: Boundaries of the PA DCNR, Bureau of Forestry Districts. These districts represent the regional management organization of the Bureau. Purpose: For public information and educational purposes
This Dataset is part of 35 downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout south western Noord Brabant in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
Abstract: This data set represents the state forest management areas including part of the state forest boundary. The wild and natural areas are legislated land areas that fit a specific management strategy for preservation Purpose: The purpose of this layer is to show the area considered as Pennsylvania Wilds. Supplemental_Information: The 12-county region in Northcentral PA known as the Pennsylvania Wilds represents a region of enormous potential. The 2 million acres of public lands in the region are a tremendous resource held in trust for all the people. The plan for the Wilds is to conserve and maintain these resources, make them more accessible to residents and visitors alike, and improve the economics base of the local communities.
This Dataset is part of 35 downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout the Amsterdam region of Noord Holland in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
This Dataset is part of 35 downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout central Noord Holland in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
Abstract: North Central portion of Pennsylvania, selected for economic and recreational initiatives Purpose: The purpose of this layer is to show the area considered as Pennsylvania Wilds. Supplemental_Information: The 12-county region in Northcentral PA known as the Pennsylvania Wilds represents a region of enormous potential. The 2 million acres of public lands in the region are a tremendous resource held in trust for all the people. The plan for the Wilds is to conserve and maintain these resources, make them more accessible to residents and visitors alike, and improve the economics base of the local communities. Time_Period_of_Content: Time_Period_Information:
This Dataset is part of 35 downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout eastern Noord Holland in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
This Dataset is part of 35 downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout northern Noord Holland in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
This Dataset is part of 35 downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout the northern island Noord Holland in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
This Dataset is part of 35 downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout the western Noord Holland in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
Abstract: The state forest boundry coverage is being updated frequently. It is derived from survey descriptions and will be, and has been in certain areas, adjusted to GPS boundry corners. Purpose: The state forest coverage was created to help in the management of state forest lands.
Abstract: State Park Boundaries as of February 2008 Purpose: To outline the general boundary of State Parks.
Abstract: Beneficial Land Use is a DEP primary facility type related to the Water Pollution Control Program. The sub-facility type related to Beneficial Land Use is the Parcel. A parcel refers to the land application site that is proposed to received biosolids or residential septage. Land application for biosolids and septage means beneficial use, meaning it is applied to land as a soil amendment/fertilizer.
Abstract: The Land Recycling Program encourages the recycling and redevelopment of old industrial sites. It sets standards, by law for the first time, that are protective of human health and the environment, but which consider future use. It provides potential developers with clear cleanup standards based on risk, not a moving target in a negotiated agreement, and provides an end to liability when that cleanup standard is achieved. The Land Recycling Program includes four bills. Act 2, Act 3, and Act 4 were signed into law by Governor Tom Ridge on May 19, 1995. Act 6 amended Act 4 and became effective in May 2000. Act 2 of 1995 is the Land Recycling and Environmental Remediation Standards Act. This act is the primary law establishing the Land Recycling Program. It creates a realistic framework for setting cleanup standards, provides special incentives for developing abandoned sites, releases responsible parties from liability when cleanup standards are met, set deadlines for Department of Environmental Protection (DEP) action and provides funding for environmental studies and cleanups. Act 3 of 1995 is the Economic Development Agency, Fiduciary and Lender Environmental Liability Protection Act. This act limits the environmental liability of those involved in redeveloping and financing a recycled industrial site. Act 4 of 1995 is the Industrial Sites Environmental Assessment Act. This act provides up to $2 million for environmental assessments in certain communities and for cleanups in certain cities through the Department of Community and Economic Development. Act 6 of 2000 is the Industrial Sites Environmental Assessment Act. This act expands the grant program under Act 4 of 1995 and provides for performance-based loans. Purpose: To display the location of abandoned and unused industrial sites. This data complements the attribute data found on the publicly available web site "PASiteFinder. Supplemental_Information: PASiteFinder is an online database for buyers and sellers to access Brownfield real estate in PA. PASiteFinder allows you to search hundreds of Pennsylvania Brownfields based on your site selection criteria and provides the opportunity to close the deal by providing access information on financial incentives, lenders, attorneys, insurers and other real estate expertise. www.state.pa.us (PA Keyword: PASiteFinder) Contact Information, For more information on this initiative or general information on the Land Recycling Program call 717-783-7816, or the Information Request Line at 717-787-6264 to request written material or to place a message on voice mail. Questions and comments may be directed to Tom Fidler, Program Manager, at tfidler@state.pa.us.
This is Craig Stanton's 3500 kilometer walking journey across Japan. The videos are geo-tagged via Seero.com
this data comes from the open street map people and provides information on Buildings within Denmark. Data was uploaded as a polygon shape file showing individual buildings in the Country of Denmark and includes an attribute for building names when available.
This data comes from open street maps and provides detailed information about natural areas within the country of Denmark. Natural Areas include Forest, river banks, water, and parks. This data includes attributes for the type of feature and the name of the feature if available.
Abstract: A Captive Hazardous Waste Operation is a DEP primary facility type related to the Waste Management Hazardous Waste Program. The sub-facility types related to Captive Hazardous Waste Operations that are included in eMapPA are: Boiler/Industrial Furnace, Disposal Facility, Hazardous Generator, Incinerator, Recycling Facility, Storage Facility, and Treatment Facility._______Captive Hazardous Waste Operation Sub-Facility Types Boiler or Industrial Furnace: Facility permitted by DEP to burn or process hazardous waste generated onsite, to recover thermal energy, or to accomplish recovery of materials in association with a manufacturing process. Disposal Facility: Facility permitted by DEP to dispose of hazardous waste generated onsite by incineration, or by intentionally placing the waste in or on land or water in specially designed and constructed containment units where the waste will remain after closure of the facility. Hazardous Generator: A site where hazardous waste is first produced. The hazardous waste may be accumulated onsite at this facility for a prescribed limited amount of time (usually between 90 and 270 days) without first obtaining a storage permit from the Department, as long as it is done in accordance with prescribed standards. Incinerator: Facility permitted by DEP to burn or thermally combust hazardous waste generated onsite in an enclosed device using controlled flame. Devices meeting the criteria for classification as a boiler, industrial furnace, carbon regeneration unit, or sludge dryer are not incinerators. Recycling Facility: Facility permitted by DEP to treat hazardous waste generated onsite, making it suitable for upcoming recovery of a usable product or material. Storage Facility: Facility permitted by DEP to hold hazardous waste generated onsite for a temporary period (not to exceed one year). At the end of that period the hazardous waste is treated, disposed of, or stored elsewhere. Facilities accumulating hazardous wastes generated onsite in accordance with prescribed generator accumulation standards for a prescribed limited amount of time (usually between 90 and 270 days) are NOT storage facilities. Treatment Facility: Facility permitted by DEP to change the physical, chemical or biological character or composition of hazardous waste that is generated onsite. The purpose is to neutralize the waste or to render the waste non-hazardous, safer for transport, suitable for recovery, suitable for storage, or reduced in volume.
This data provided by open street maps shows the locations of various points of interest throughout the country of Denmark. Data includes attributes to show the feature type and the feature name if available. data was uploaded as a poly point shape file.
Abstract: Represents the Primary Facility type Coal Mining Operation (CMO) point features. A Coal Mining Operation is a DEP primary facility type related to the Mining Program. The sub-facility types related to Coal Mining Operations that are included are:_____Deep Mine Underground mining of coal. Includes, but is not limited to, portal, tunnel, slope, and drift mines. Discharge Point Discharge of water from an area as a result of coal mining activities. Mineral Preparation Plant Facility at which coal is cleaned and processed. Post Mining Treatment Post-mining discharges are groundwater seeps and flows that occur after a mine has been completed and reclaimed. Many of these discharges have become contaminated by contacting acid producing rock in the mine environment. Untreated discharges that enter clean streams cause acidification, which immediately kills much of the aquatic life. Coal mines that are predicted to have discharges are not permitted; however, coal mining operators are required to treat post-mining discharges in cases where the predictions do not come true. Through advances in predictive science, less than 2 percent of the permits issued today result in a post-mining discharge. New technologies, including alkaline addition and special handling of acid producing material, are being studied in order to help address the remaining 2 percent. Refuse Disposal Facility An area used for disposal or storage of waste coal, rock, shale, slate, clay, and other coal mining related materials. Refuse Reprocessing Facility at which coal is extracted from waste coal, rock, shale, slate, clay, and other coal mining related material, i.e., coal refuse. Surface Mine Surface mining of coal by removing material which lies above the coal seam. Includes, but is not limited to, strip, auger, quarry, dredging, and leaching mines.
This dataset provides detailed information about the roadways in Denmark,from the open street map project. This data includes information on primary, secondary and tertiary roads, along with paths and other roadways. there is also an attribute for Feature name if it is available. date was uploaded as a poly line shape file.
Abstract: Coal Pillar Locations are pillars of coal that must remain in place to provide support for a coal mine.
Abstract: Coal Pillar Locations are pillars of coal that must remain in place to provide support for an oil and gas well on the surface.
This data set was provided by open street maps and shows various waterways throughout Denmark. Waterways include features streams, rivers, canals, and other waterways. There are also attributes for feature name and width if those figures are available. data was uploaded as a poly line shape file.
This data set was provided by open street maps and gives great detailed information about various buildings in the country of Estonia. Data was uploaded as a polygon shape file and includes attributes for the name of the Building if data is available.
this data was provided by open street maps, and includes data on various natural areas throughout the country of Estonia. Natural Areas include riverbanks, forests, parks, and water. data was uploaded to finder as a polygon shape file and contains attributes defining the feature type and name of the feature when available.
This data provides point level data for places of interest in Estonia. Places of interest include restaurants, cafes, fuel, parks, parking, places of worship, libraries, post offices, and pubs, along with many others. Each point has an attribute for Type of feature and name of feature when available. data was uploaded as a poly point shape file.
This data set provides rail and railway data for the country of Estonia. Data was uploaded as a poly line shape file and includes attributes on the type of railway, which includes trams, subways, and rails, and also provides railway names when available.
This data set provides information on roadway and transportation infrastructure of the country of Estonia. Data was uploaded as a poly line shape file, and includes attributes for feature type, feature name, and a one way road flag (0= two way traffic, 1= one way traffic.)
This data set provides information about the waterways and various water features in the country of Estonia. Data was uploaded as a poly line shape file from Open Street Maps and includes attributes for Type of feature, name of feature, and Width of feature when available.
This dataset shows the amount of money that John McCain has raised throughout the USA during his candidacy for President of the United States from 1.1.2007 to 5.31.2008. The information provided gives the name of the state, the total amount of funds that have been given to John McCain in the state, the total amount of fundraising that has been given to any Presidential Candidates, and the percentage of total state funds that has been given to McCain. All campaign fundraising statistics are based on data provided by the Federal Election Commision (FEC) and organized by the Center for Responsive Politics. The totals presented reflect donations from individual donors, political action committees, and political parties. The data roughly covers the period 1.1.2007 through 5.31.2008. The statistics do not show the money candidates have spent during their campaigns and the amount they have on hand. For more information vist cnn.com/ELECTION/2008
Abstract: An Encroachment Location for Oil & Gas is a DEP primary facility type related to the Oil and Gas Program. The sub-facilities that fall under Oil and Gas Encroachment also exist under Encroachment Locations. The difference is in the DEP program that regulates the facilities. Sub Facility types include:___Bridge--- A bridge across a stream required to provide access primarily to an oil and gas location Culvert--- A culvert installed to provide access primarily to an oil and gas location
Abstract: Census tracts are small, relatively permanent statistical subdivisions of a county delineated by local participants as part of the U.S. Census Bureau's Participant Statistical Areas Program. The U.S. Census Bureau delineated census tracts in situations where no local participant existed or where local or tribal governments declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of decennial census data. This is the first decennial census for which the entire United States is covered by census tracts. For the 1990 census, some counties had census tracts and others had block numbering areas (BNAs). In preparation for Census 2000, all BNAs were replaced by census tracts, which may or may not cover the same areas. Census tracts generally have between 1,500 and 8,000 people, with an optimum size of 4,000 people. (Counties with fewer people have a single census tract.) When first delineated, census tracts are designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Census tract boundaries are delineated with the intention of being maintained over many decades so that statistical comparisons can be made from decennial census to decennial census. However, physical changes in street patterns caused by highway construction, new developments, and so forth, may require occasional boundary revisions. In addition, census tracts occasionally are split due to population growth or combined as a result of substantial population decline. Census tracts are identified by a four-digit basic number and may have a two-digit numeric suffix; for example, 6059.02. The decimal point separating the four-digit basic tract number from the two-digit suffix is shown in the printed reports and on census maps. In computer-readable files, the decimal point is implied. Many census tracts do not have a suffix; in such cases, the suffix field is either left blank or is zero-filled. Leading zeros in a census tract number (for example, 002502) are shown only in computer-readable files. Census tract suffixes may range from .01 to .98. For the 1990 census, the .99 suffix was reserved for census tracts/block numbering areas (BNAs) that contained only crews-of-vessels population; for Census 2000, the crews-of-vessels population is part of the related census tract. Census tract numbers range from 1 to 9999 and are unique within a county or statistically equivalent entity. The U.S. Census Bureau reserves the basic census tract numbers 9400 to 9499 for census tracts delineated within or to encompass American Indian reservations and off-reservation trust lands that exist in multiple states or counties. The number 0000 in computer-readable files identifies a census tract delineated to provide complete coverage of water area in territorial seas and the Great Lakes. Purpose: Developing decisions based on ethnic populations and poverty areas in Census Bureau Tracts Supplemental_Information: Census tract polygons were joined with Census population data and Census Poverty data to produce this layer for the PA Department of Environmental Protection. Specifically, an Environmental Justice Area is defined as a census tract area that has 20% or more of the population in poverty or 30% or more of the population is non-white.
Abstract: An Erosion and Sediment Control Facility is a DEP primary facility type related to the Water Pollution Control program. The following sub-facility types related to Erosion and Sediment Control Facilities are included: Agricultural Activities Commercial or Industrial Development Government Facilities Oil and Gas Development Private Road or Residence Public Road Construction Recreational Activities Remediation/Restoration Residential Subdivision Sewerage or Water Systems Silviculture Utility Facility and/or Transmission Line Any of the above development activities that may discharge stormwater during construction fall under the erosion and sediment control permit category.
Abstract: An Industrial Mineral Mining Operation is a DEP primary facility type related to the Industrial Mineral Mining Program. The sub-facility types are listed below:__________Deep Mine Underground mining of industrial minerals, i.e., noncoal mining. Includes, but is not limited to, industrial minerals extracted from beneath the surface by means of shafts, tunnels, adits, or other mine openings. Discharge Point Discharge of water from an area as a result of industrial mining activities, i.e., noncoal mining. Mineral Preparation Plant Facility at which industrial minerals (i.e., noncoal minerals) are cleaned and processed. Surface Mine Surface mining of industrial minerals (i.e., noncoal minerals) by removing material which lies above the industrial minerals. Includes, but is not limited to, strip, auger, quarry, dredging, and leaching mines.
Abstract: Land Recycling Cleanup Location Land Recycling Cleanup Locations (LRCL) are divided into one or more sub-facilities categorized as media: Air, Contained Release or Abandoned Container, Groundwater, Sediment, Soil, Surface Water, and Waste. Media is the environmental resource that is associated with the cleanup effort. The following primary facility kinds describe the Acts from which cleanup locations are derived: Act2 Land Recycling and Environmental Remediation Standards The first declaration of Section 102 of the policy provides a brief description of the purpose of Act2: The elimination of public health and environmental hazards on existing commercial and industrial land across this Commonwealth is vital to their use and reuse as sources of employment, housing, recreation, and open-space areas. The reuse of industrial land is an important component of a sound land use policy that will help prevent the needless development of prime farmland, open-space areas and natural areas and reduce public costs for installing new water, sewer, and highway infrastructure. CERCLA Comprehensive Environmental Response, Compensation, and Liability Act, also known as the Superfund This act was passed by Congress as a federal law in December of 1980, creating a tax on chemical and petroleum industries to: Identify and respond to sites from which releases of hazardous substances into the environment have occurred or could potentially occur Ensure they are cleaned up by responsible parties or through government funding Evaluate damages to natural resources HSCA Hazardous Sites Cleanup Act [This Act] provides the Department of Environmental Protection (DEP) with the funding and the authority to conduct cleanup actions at sites where hazardous substances have been released. HSCA also provides DEP with enforcement authorities to force the persons who are responsible for releases of hazardous substances to conduct cleanup actions or to repay public funds spent on a DEP funded cleanup action. HSCA funds are also used to pay the state share of costs of cleanup actions at Pennsylvania sites in the Federal Superfund program. Under the provisions of HSCA, most HSCA sites involve bankrupt facility owners, abandoned facilities, and inappropriate disposal of hazardous substances. As a general rule, HSCA sites do not include active facilities with financially viable owners. Other The Other primary facility kind includes a mixture of various different cleanup sites, no further action sites, and potential sites. This is optional data that the regional offices are not required to maintain. STSP Storage Tank Spill and Prevention Act Releases and/or ruptures from improperly installed or faulty storage tanks contaminate the Commonwealth's land and water resources. This act was passed to prevent such contamination through "improved safeguards on the installation and construction of storage tanks."
Abstract: Mine Drainage Treatment/Land Reclamation Locations are clean-up projects that are working to eliminate some form of abandoned mine. The following sub-facility types are included:_________Abandoned Coal Refuse Pile Reclamation Abandoned Deep Mine Reclamation Abandoned Mine Drainage Treatment Abandoned Oil & Gas Well Reclamation Abandoned Surface Mine Reclamation Internal Monitoring Point
Abstract: A Municipal Waste Operation is a DEP primary facility type related to the Waste Management Municipal Waste Program. The sub-facility types related to Municipal Waste Operations that are included are:_Composting: Includes facilites that use land for processing municipal waste by composting. Composting is a process that biologically decomposes organic waste under controlled anaerobic or aerobic conditions to yield a humus-like product. Land Application: Includes facilities that uses agricultural utilization or land reclamation of waste. Sewage sludge is land-applied for its nutrient value or as a soil conditioner. Landfill - Abandoned: The Abandoned Landfill Inventory Project collects geospatial and descriptive data for closed and abandoned landfills throughout the state of Pennsylvania. Locations for sites were determined from historic records such as microfiche, index card, topographic map, and staff personal files, and then compiled into site lists. Each of the six DEP regions is staffed with summer interns who physically locate the sites and collect the data for the project. The purpose of the Abandoned Landfill Inventory Project is to determine the location of abandoned and closed landfills in order to catalog potential environmental hazards. The data is intended for internal government and public consumption, in order to keep property sales, clean-up efforts, and land development well informed. For metadata on the ALI Project, see Abandonded Landfill Metadata. Landfill: A landfill is a facility that uses land for the disposal of municipal waste. Processing Facility: A processing facility is a transfer station, composting facility, resource recovery facility, or a facility that reduces the volume or bulk of municipal waste for offsite reuse. Resource Recovery: A resource recovery is a facility that provides for the extraction and utilization of materials or energy from municipal waste. The facility can be a mechanical extraction facility or a combustion facility. Transfer Station: A transfer station is a facility that receives and processes or temporarily stores municipal waste at a location other than the generation site. This sub-facility facilitates the transportation or transfer of municipal waste to a processing or disposal facility.
Abstract: An Oil and Gas Water Pollution Control Facility is a DEP primary facility type related to the Oil & Gas Program. The following lists the sub-facility types related to Water Pollution Control that are included: ____ Discharge Point -- The outfall from a wastewater treatment facility for oil and gas fluids Internal Monitoring Point -- A monitoing point within the wastewater treatment system where samples are collected Treatment Plant -- A facility for treating oil and gas wastewater to achieve permit effluent limits
This dataset contains those submarine cables located in marine waters within the vicinity of the main Hawaiian Islands and recorded on the nautical charts. Source : NOAA Raster Nautical Charts History: The raster nautical charts were first reprojected from their original projection/datum to UTM Zone 4, NAD83 using NOAA's Nautical Chart Reprojector v1.8.3. NOAA's ArcView ChartViewer extension was used to display the reprojected nautical charts in ArcView v3.2. Data points were then digitized off the individual nautical charts and merged into a single dataset/shapefile which covers the entire state. Completed December, 2002. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This data set shows the locations of various buildings throughout the country of Finland. data was uploaded as a polygon shape file, which provides the outlines of each individual building. attributes include data on the name of the building when available.
Coastal Resources for selected islands Source: Kauai: "Kauai Coastal Resource Atlas, 'U.S. Army Corp of Engineers, 1984. Oahu and Maui from 'Oahu Resource Atlas' and 'Maui Resource Atlas' Harbors Division, 1981. History: Digitized in 1989 for the Office of Planning by Sets Hawaii. Coastal Resources for selected islands Source: Kauai: "Kauai Coastal Resource Atlas, 'U.S. Army Corp of Engineers, 1984. Oahu and Maui from 'Oahu Resource Atlas' and 'Maui Resource Atlas' Harbors Division, 1981. History: Digitized in 1989 for the Office of Planning by Sets Hawaii.
This data shows the locations of various natural areas throughout the country of Finland. Natural areas include parks, forest, riverbeds and water. data was uploaded as a polygon shape file and shows the borders of these natural areas, and includes attributes about the feature name and feature type when available.
This Dataset is part of 35 downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout north eastern Noord Brabant in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
Boundaries of near-shore coral reefs in selected locations. Source: Field surveys as compiled by CORIAL under contract to Ogden Environmental Services, 1994. Data sources included: Molokai Coastal Resource Atlas, 1984; Status of Coral Reefs off the Southeast Coast of Molokai, Hawaii, 1991; Kauai Coastal Resource Atlas, 1983; Kauai Island Coastal Resource Inventory, 1982; Hawaii Coastal Resource Atlas, 1981; A Coastal Resource Inventory of the Lopa-Naha, Lanai Coastline Final Report, 1988; West Hawaii Coastal Reef Inventory, 1981; and Molokai Coastal Resource Inventory, 1984. For more information on sources and methods used, see CZM report cited below. History: Compiled and digitized by Ogden Environmental in 1994 in Arc/Info version 6.1.2 using source maps described above. Note: For more information, refer to "Final Report: Comprehensive Management of Coastal Resources, Phase1," Ogden Environmental Services for the Coastal Zone Management Program, Office of Planning, June 1994. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This data set shows various points of interest throughout the country of Finland. Points of interest include, but are not limited to the following: Hospitals, schools, post offices, restaurants, fuel, parking, places of worship, churches, monuments, pubs, nightclubs, campsites, and monuments. data was uploaded as a poly point shape file.
this data set shows the locations of the Railway system throughout the country of Finland. Railways include trains, rails, trams, and subways. each of the features has attribute data for the type of feature, and name of feature when available. data was uploaded as a poly line shape file.
This Dataset is part of 35 downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout south eastern Noord Brabant in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
This dataset contains those coral reefs located in marine waters within the vicinity of the main Hawaiian Islands and recorded on the nautical charts. Source : NOAA Nautical Charts History: The raster nautical charts were first reprojected from their original projection/datum to UTM Zone 4, NAD 83 using NOAA's Nautical Chart Reprojector v1.8.3. NOAA's ArcView ChartViewer extension was used to display the reprojected nautical charts in ArcView v3.2. Subject areas were then digitized off the individual nautical charts and merged into a single dataset/shapefile which covers the entire state. Completed December, 2002. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This Dataset is part of 35 datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout Eastern Overijssel in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
This Dataset is part of 35 datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout western Overijssel in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
This Dataset is part of 35 datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout eastern Friesland in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
This Dataset is part of 35 datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout central Gelderland in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
This Dataset is part of 35 datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout Eastern Utrecht in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
This Dataset is part of 35 downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout Western Utrecht in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
his Dataset is part of 35 datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout Zeeland in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
This Dataset is part of 35 downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout central Zuid Holland in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
This Dataset is part of 35 downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout central Weatern Zuid Holland in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
This Dataset is part of 35 downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout North eastern Zuid Holland in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
This Dataset is part of two datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout North western Zuid Holland in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
This Dataset is part of 35 downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout south eastern Zuid Holland in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
This Dataset is part of 35 downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout south western Zuid Holland in the Netherlands. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. It also includes foot and bicycle paths. Because the dataset for the entire country was too big, it was divided into provinces and then those were divided into sections. There are a total of 35 sections.
This dataset shows natural areas in eastern netherlands. Natural Areas consist of water, riverbanks, parks, forests, and other feature types. Because the dataset for the entire country was too big, it was divided into eastern and western Netherlands
This dataset shows natural areas in western Netherlands. Natural Areas consist of water, riverbanks, parks, forests, and other feature types. Because the dataset for the entire country was too big, it was divided into eastern and western Netherlands
This dataset shows buildings in the Netherlands. Each building is represented as a polygon.
This dataset shows points of interest in Netherlands. Features included in this dataset include, libraries, post offices, places of worship, parking, restaurants, cafes, fuel, parking, police, theaters, cinemas, prisons, universities, camp sites and other public places.
This dataset shows the Rail system of Netherlands, including rails and trams. attributes include name of the rail, and type of rail. Data was downloaded from openstreetmap geofabrik.
This dataset includes waterways, including rivers streams, aqueducts and canals. Data was found online at the Openstreetmaps Geofabrik site.
This dataset shows buildings in Monaco. Each building is represented as a polygon.
This dataset shows natural areas in Monaco. Natural Areas consist of water, riverbanks, parks, forests, and other feature types.
This dataset shows points of interest in Monaco. Features included in this dataset include, libraries, post offices, places of worship, parking, restaurants, cafes, fuel, parking, police, theaters, cinemas, prisons, universities, camp sites and other public places. there are almost 100 points of interest included.
This Dataset was downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout Monaco. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc.
This dataset shows almost 100 buildings in Maldova. Each building is represented as a polygon.
This dataset shows natural areas in Monaco. Natural Areas consist of water, riverbanks, parks, forests, and other feature types.
This dataset shows points of interest in Maldova. Features included in this dataset include, libraries, post offices, places of worship, parking, restaurants, cafes, fuel, parking, police, theaters, cinemas, prisons, universities, camp sites and other public places. there are almost 100 points of interest included.
This dataset shows the Rail system of Maldova, including rails and trams. attributes include name of the rail, and type of rail. Data was downloaded from openstreetmap geofabrik.
This Dataset was downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout Maldova. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc.
This dataset includes waterways, including rivers streams, aqueducts and canals. Data was found online at the Openstreetmaps Geofabrik site.
This dataset contains those dumping areas located in marine waters within the vicinity of the main Hawaiian Islands and recorded on the nautical charts. Source : NOAA Nautical Charts History: The raster nautical charts were first reprojected from their original projection/datum to UTM Zone 4, NAD 83 using NOAA's Nautical Chart Reprojector v1.8.3. NOAA's ArcView ChartViewer extension was used to display the reprojected nautical charts in ArcView v3.2. Subject areas were then digitized off the individual nautical charts and merged into a single dataset/shapefile which covers the entire state. Completed December, 2002. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This dataset contains those explosive dumping areas located in marine waters within the vicinity of the main Hawaiian Islands and recorded on the nautical charts. Source : NOAA Nautical Charts History: The raster nautical charts were first reprojected from their original projection/datum to UTM Zone 4, NAD 83 using NOAA's Nautical Chart Reprojector v1.8.3. NOAA's ArcView ChartViewer extension was used to display the reprojected nautical charts in ArcView v3.2. Subject areas were then digitized off the individual nautical charts and merged into a single dataset/shapefile which covers the entire state. Completed December, 2002. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
FADs near the main hawaiian islands. Source: Tabular information provided to OP by DLNR History: Input by OP staff from coordinates/table provided to OP by DLNR staff in the early 1990s. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This dataset contains those FADs located in marine waters within the vicinity of the main Hawaiian Islands and recorded on the nautical charts. Source : NOAA Nautical Charts History: The raster nautical charts were first reprojected from their original projection/datum to UTM Zone 4, NAD 83 using NOAA's Nautical Chart Reprojector v1.8.3. NOAA's ArcView ChartViewer extension was used to display the reprojected nautical charts in ArcView v3.2. Subject points were then digitized off the individual nautical charts and merged into a single dataset/shapefile which covers the entire state. Completed December, 2002. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
State of Hawaii Commercial Fish Catch Statistical Areas, including a more detailed coastline for the Main Hawaiian Islands, recognized islets and the Northwestern Hawaiian Islands (major natural and manmade features throughout the Hawaiian Archipelago). Source: Hawaii Department of Land & Natural Resource's Division of Aquatic Resources (DLNR-DAR). This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Description: This dataset contains those fish havens located in marine waters within the vicinity of the main Hawaiian Islands and recorded on the nautical charts. Source : NOAA Nautical Charts History: The raster nautical charts were first reprojected from their original projection/datum to UTM Zone 4, NAD 83 using NOAA's Nautical Chart Reprojector v1.8.3. NOAA's ArcView ChartViewer extension was used to display the reprojected nautical charts in ArcView v3.2. Subject areas were then digitized off the individual nautical charts and merged into a single dataset/shapefile which covers the entire state. Completed December, 2002. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Locations/boundaries of fish ponds Source: Field surveys as compiled by CORIAL under contract to Ogden Environmental Services, 1994. Data sources included: State GIS Hydro poly layer; Bishop Museum; DLNR SHPD. For more information on sources and methods used, see CZM report cited below. History: Compiled and digitized by Ogden Environmental in 1994 in Arc/Info version 6.1.2 using source maps described above. Note: For more information, refer to "Final Report: Comprehensive Management of Coastal Resources, Phase1," Ogden Environmental Services for the Coastal Zone Management Program, Office of Planning, June 1994. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Locations of fish ponds Source: Field surveys as compiled by CORIAL under contract to Ogden Environmental Services, 1994. Data sources included: State GIS Hydro poly layer; Bishop Museum; DLNR SHPD. For more information on sources and methods used, see CZM report cited below. History: Compiled and digitized by Ogden Environmental in 1994 in Arc/Info version 6.1.2 using source maps described above. Note: For more information, refer to "Final Report: Comprehensive Management of Coastal Resources, Phase1," Ogden Environmental Services for the Coastal Zone Management Program, Office of Planning, June 1994. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Marine Life Conservation Districts Source: Various paper maps from years 1981-1984 History: Screen digitized by Ogden Environmental in 1994 in Arc/Info version 6.1.2 using ArcEdit various paper maps, including parcel maps and hand-drawn maps from various sources. The textual boundary descriptions of the MLCDs from the Hawaii Administrative Rules were also used. Note: For more information, refer to "Final Report: Comprehensive Management of Coastal Resources, Phase1," Ogden Environmental Services for the Coastal Zone Management Program, Office of Planning, June 1994. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Description: This dataset contains those obstructions located in marine waters within the vicinity of the main Hawaiian Islands and recorded on the nautical charts. Source : NOAA Nautical Charts History: The raster nautical charts were first reprojected from their original projection/datum to UTM Zone 4, NAD 83 using NOAA's Nautical Chart Reprojector v1.8.3. NOAA's ArcView ChartViewer extension was used to display the reprojected nautical charts in ArcView v3.2. Data points were then digitized off the individual nautical charts and merged into a single dataset/shapefile which covers the entire state. Completed December, 2002.
Ocean polygon layer used to mask out ocean areas. Source: Derived from Coastline layer. History: Created by Office of Planning. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Ocean Recreation Areas for the State of Hawaii. Sub-area polygons can be found in the ORECSUBA coverage. Specific recreation zones can be found in the ORECZONES coverage. Special overlapping zones can be found in the ORECSPEC coverage. Source: Legislative Citations (see polygon attributes for specific citations). History: Compiled and digitized by Ogden Environmental Services, 1994. Beginning points for most areas were compiled onto USGS quad maps; then generally screen digitized using legislative citation descriptions. Ogden attemped to correct problem polygons (see orec.problems) by consulting with DLNR, Division of Boating and Recreation. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Polygons belonging in either ORECSUBZ or ORECZONES which overlap other polygons in those layers. (See report mentioned below for further explanation). Source: Legislative Citations (see polygon attributes for specific citations). History: Compiled and digitized by Ogden Environmental Services, 1994. Beginning points for most areas were compiled onto USGS quad maps; then generally screen digitized using legislative citation descriptions. Ogden attemped to correct problem polygons (see orec.problems) by consulting with DLNR, Division of Boating and Recreation. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Ocean Recreation Area Sub-Zones for the State of Hawaii. General ocean recreation areas may be found in the ORECGENL coverage. Ocean recreation area zones can be found in the ORECZONES coverage. Special overlapping zones can be found in the ORECSPEC coverage. Source: Legislative Citations (see polygon attributes for specific citations). History: Compiled and digitized by Ogden Environmental Services, 1994. Beginning points for most areas were compiled onto USGS quad maps; then generally screen digitized using legislative citation descriptions. Ogden attemped to correct problem polygons (see orec.problems) by consulting with DLNR, Division of Boating and Recreation. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
Ocean Recreation Zones for the State of Hawaii. General ocean recreation areas may be found in the ORECGENL coverage. Recreation sub-zones can be found in the ORECSUBZ coverage. Special overlapping zones can be found in the ORECSPEC coverage. Source: Legislative Citations (see polygon attributes for specific citations). History: Compiled and digitized by Ogden Environmental Services, 1994. Beginning points for most areas were compiled onto USGS quad maps; then generally screen digitized using legislative citation descriptions. Ogden attemped to correct problem polygons (see orec.problems) by consulting with DLNR, Division of Boating and Recreation. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This dataset contains those offshore installations located in marine waters within the vicinity of the main Hawaiian Islands and recorded on the nautical charts. Source : NOAA Nautical Charts History: The raster nautical charts were first reprojected from their original projection/datum to UTM Zone 4, NAD 83 using NOAA's Nautical Chart Reprojector v1.8.3. NOAA's ArcView ChartViewer extension was used to display the reprojected nautical charts in ArcView v3.2. Data points were then digitized off the individual nautical charts and merged into a single dataset/shapefile which covers the entire state. Completed December, 2002. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This dataset contains those sewer lines located in marine waters within the vicinity of the main Hawaiian Islands and recorded on the nautical charts. Source : NOAA Nautical Charts History: The raster nautical charts were first reprojected from their original projection/datum to UTM Zone 4, NAD 83 using NOAA's Nautical Chart Reprojector v1.8.3. NOAA's ArcView ChartViewer extension was used to display the reprojected nautical charts in ArcView v3.2. Objects were then digitized off the individual nautical charts and merged into a single dataset/shapefile which covers the entire state. Completed December, 2002. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This dataset contains those submerged buoys located in marine waters within the vicinity of the main Hawaiian Islands and recorded on the nautical charts. Source : NOAA Nautical Charts History: The raster nautical charts were first reprojected from their original projection/datum to UTM Zone 4, NAD 83 using NOAA's Nautical Chart Reprojector v1.8.3. NOAA's ArcView ChartViewer extension was used to display the reprojected nautical charts in ArcView v3.2. Objects were then digitized off the individual nautical charts and merged into a single dataset/shapefile which covers the entire state. Completed December, 2002. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This dataset contains the 3 Nautical Mile Boundaries located within the vicinity of the main Hawaiian Islands. Source: USGS Digital Line Graphs, 1983 version, and derived boundaries. History: This file was created by merging the coast_n83 polygon file with the islets_n83 polygon file from the State of Hawaii, Office of Planning using the union tool in ESRI's ArcGIS 9.1. A three nautical mile buffer was applied using the buffer tool in ArcGIS 9.1 then buffered polygons were merged. The coast_n83 and islets_n83 polygons were clipped using the erase tool in ArcInfo 9.1. Individual polygon areas were calculated using the calculate areas tool within ArvGIS 9.1. Projection is UTM Zone 4, and datum is NAD 83. File was completed in December, 2006. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This dataset contains those unexploded ordnances located in marine waters within the vicinity of the main Hawaiian Islands and recorded on the nautical charts. Source : NOAA Nautical Charts History: The raster nautical charts were first reprojected from their original projection/datum to UTM Zone 4, NAD 83 using NOAA's Nautical Chart Reprojector v1.8.3. NOAA's ArcView ChartViewer extension was used to display the reprojected nautical charts in ArcView v3.2. Data points were then digitized off the individual nautical charts and merged into a single dataset/shapefile which covers the entire state. Completed December, 2002. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
this data was provided by openstreetmaps, and provides information about various buildings throughout the country of France. Data was uploaded as a polygon shape file and contains attributes for Feature name and feature type.
this data was provided by openstreetmaps and provides information about various natural areas throughout the country of France. Natural areas include forests, parks, riverbeds and water. data was uploaded as a polyline shape file.
This data was provided by openstreetmaps and provides detailed information about various points of interest throughout the country of France. Points of interest include, but are not limited to parks, hospitals, schools, parking, fuel, restaurants, cafes, nightclubs, pubs, and hotels. Data is attributed by Feature type, and name when available.
this data was provided by openstreetmaps and contains detailed information about the Railway infrastructure throughout the Country of France. Railways include rails, subways, and trams. data was uploaded as a poly line Shape file.
This dataset contains those marine Water Quality Standards Classifications surrounding the main Hawaiian Islands as specified in Hawaii Administrative Rules Title 11, Department of Health, Chapter 54 Water Quality Standards. Source : DOH Water Quality Classification Maps, DOH Water Quality Classification jpg's History: The original Water Quality Classifications dataset, Wqclass, was first transformed from UTM Zone 4, Old Hawaiian to UTM Zone 4, NAD 83 using the Hawaii Datums and Projections extension in ArcView 3.2. The transformed dataset was amended to incorporate the following changes: 1)Kahoolawe erased from water standards classification polygon, 2)Sand Island erased from water standards classification polygon, 3)corrected the water standards classification boundary between Kahoolawe and Maui, 4)corrected the water standards classification designations around Hawaii island, 5)corrected the water standards classification designation around Kahoolawe, and 6)deleted the polygons representing land masses (i.e. islands). This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
HumpbackWhale National Marine Sanctuary boundaries for the State of Hawaii. Source: NOAA National Marine Sanctuary Program History: Received by Office of Planning from NOAA National Marine Sanctuary Program, March, 2006. OP staff projected from geographic to UTM coordinates. Please see hihwnms.xml for more information as to compilation procedures. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This dataset contains those shipwrecks located in marine waters within the vicinity of the main Hawaiian Islands and recorded on the nautical charts. Source : NOAA Nautical Charts History: The raster nautical charts were first reprojected from their original projection/datum to UTM Zone 4, NAD 83 using NOAA's Nautical Chart Reprojector v1.8.3. NOAA's ArcView ChartViewer extension was used to display the reprojected nautical charts in ArcView v3.2. Data points were then digitized off the individual nautical charts and merged into a single dataset/shapefile which covers the entire state. Completed December, 2002. This dataset was collected from the Hawaii Statewide GIS Program: The Office of Planning GIS Program leads a multi-agency effort to establish, promote, and coordinate the use of geographic information systems (GIS) technology among Hawaii State Government agencies. The State Office of Planning is responsible for the planning and coordination of activities that are critical to the States enterprise GIS. The primary goal of the Statewide GIS Program is to improve overall efficiency and effectiveness in government decision-making. To find similar datasets please search with the following unique identifier: Hawaii-gis.
This datalayer contains Vermont agricultural data describing changes in farming activity (1860-1997), by county, extracted from U.S. Census of Agriculture. Initial 1969-1992 data was originally collected by Rick Wackernagel, UVM Extension Service, Department of Community Development & Applied Economics (CDAE), then distributed by VCGI as the data product 'FARMDATA' in 1995. VCGI has since updated and added additional years and items to the dataset, and released it as the geospatial database FarmStats_CNTYFARM. Funding for much of this data was provided by the 'Datashare' agreement between VCGI and The USDA-Natural Resources Consevation Service. Many thanks to Ray Godfrey, USDA-NRCS, for helping to make this datalayer available to the public. One may download Excel spreadsheets or comma-delimited ASCII text files of this data from the VGIS indicators webpage - http://www.vcgi.org/indicators/ Purpose: County-level agricultural data describing changes in farming activity (1860-1997) extracted from U.S. Census of Agriculture contained within topological county boundaries, derived from the coverage BoundaryTown_TB250 (RF 250,000 scale). The agricultural attribute data includes; Total Number of Farms, Total Cropland, Harvested Cropland, Changes in Agricultural Land Use, Income, Operating Expenses, and Dairy Information. Any suggestions regarding other data which should be included should be submitted to VCGI. Please search Vermont-GIS for more local level GIS data for Vermont.
The Ad Age DataCenter compiled the 100 Leading National Advertisers by starting with the 300 largest national advertisers based on measured U.S. media spending. Ad Age pared that to 100 after adding in estimated unmeasured spending. Measured media advertising is estimated U.S. spending across 19 media. It consists of 18 media tracked by TNS Media Intelligence in its Stradegy product plus freestanding inserts tracked by TNS's Marx Promotion Intelligence. Measured media include: TV: network TV (ABC, CBS, CW, Fox, MyNetworkTV, NBC); cable networks (52); spot TV (614 stations, including 44 Spanish stations, in 101 markets); syndicated TV (200-plus programs); Spanish TV networks (Galavision, Telefutura, Telemundo, Univision). Newspaper: local daily papers (144 in 60 markets); national papers (NYT, USA, WSJ); Spanish papers (56). TNS does not measure or report classified advertising. Magazine: consumer (222); national Sunday magazines (6); local (29); Spanish language (33); B-to-B (351). Radio: local (34 markets, from Miller Kaplan Arase); national spot (200-plus markets); networks (5). Internet (2,600-plus sites; display advertising only, so excludes paid search and broadband video). Outdoor (200-plus markets).
Abstract: The BasemapLandmarks_CEMETERY point layer contains cemeteries in the state of Vermont. The data is based on VTrans Town Highway Maps. Some points have been moved to match RF24000 USGS topo cemetery locations. Purpose: Location of cemeteries in the state of Vermont. Please search Vermont-GIS for more local level GIS data for Vermont.
BasemapLandmarks_GEONAME is derived from the US Geological Survey's National Geographic Names Database (GNIS). The data were obtained by VCGI for distribution. Purpose: Geographic names in Vermont derived from GNIS Please search Vermont-GIS for more local level GIS data for Vermont.
This dataset provides the CDC's daily updates of the number of persons infected with Salmonella Saintpaul (31 updates) in each state throughout June and July of 2008. These cases may have been connected to the consumption of raw tomatoes, fresh jalapeo peppers, and fresh cilantro. The dataset also contains the estimated population for 2007 for each state.
A spatial database of landmarks. Abstract: WARNING! When using E911 data it is imperative that you understand the inter-relationships between the various E911 data sets to avoid erroneous interpretations of the data. The best way to avoid this is to thoroughly read the metadata for each data set you are working with. Please see the Use_Constraints section below for more information on data issues identified by VCGI, Inc. in the quality control/quality assurance effort conducted for the E911 board. Purpose: Assist in directing emergency responders to a site by providing visible landmarks enroute. Please search for Vermont-GIS for more local level GIS datasets.
this data was provided by openstreetmaps and gives information on various waterways throughout the country of France. Waterways include river,s streams, and Canals. Data was originally uploaded as a poly line shape file and includes attributes for feature type, feature name, and feature width when available.
This dataset shows 15 buildings in Malta. Each building is represented as a polygon.
This dataset shows natural areas in Malta. Natural Areas consist of water, riverbanks, parks, forests, and other feature types.
This dataset shows points of interest in Malta. Features included in this dataset include, libraries, post offices, places of worship, parking, restaurants, cafes, fuel, parking, police, theaters, cinemas, prisons, universities, camp sites and other public places. there are almost 200 points of interest included.
This Dataset was downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout Malta. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc.
Abstract: WARNING! When using E911 data it is imperative that you understand the inter-relationships between the various E911 data sets to avoid erroneous interpretations of the data. The best way to avoid this is to thoroughly read the metadata for each data set you are working with. Please see the Use_Constraints section below for more information on data issues identified by VCGI, Inc. in the quality control/quality assurance effort conducted for the E911 board. Purpose: E911 Atlas Map Sheets Boundaries Please search for Vermont-GIS for more local level GIS datasets.
This dataset includes waterways, including rivers streams, aqueducts and canals. Data was found online at the Openstreetmaps Geofabrik site.
This dataset shows 56 buildings in luxembourg. Each building is represented as a polygon.
Abstract: The BNDHASH data layer depicts Vermont villages, towns, counties, Regional Planning Commissions (RPC), State administrative, and LEPC (Local Emergency Planning Committee) boundaries. It is a mosaic of generally 'best available' boundaries from various data sources (refer to ARC_SRC and SRC_NOTES attributes). The layer was originally developed from TBHASH, which was the master VGIS town boundary layer prior to the development and release of BNDHASH. BNDHASH replaces TBHASH as well as TB250, TB24, CNTY250, VT250, and RPC250. By integrating village, town, county, RPC, and state boundaries into a single layer, VCGI has assured vertical integration of these boundaries and simplified maintenance. BNDHASH also includes annotation text for town, county, and RPC names. BNDHASH includes the following feature classes: 1) VILLAGES = Vermont villages 2) TOWNS = Vermont towns 3) COUNTIES = Vermont counties 4) RPCS = Vermont's Regional Planning Commissions 5) ADMIN = State Administrative Boundaries created by Executive Order #7-95 (Oct 1995) 6) LEPC = Local Emergency Planning Committee boundaries 7) VTBND = Vermont's state boundary Please search for Vermont-GIS for more local level GIS datasets.
This dataset shows almost 400 natural areas in Luxembourg. Natural Areas consist of water, riverbanks, parks, forests, and other feature types.
Abstract: The BNDHASH data layer depicts Vermont villages, towns, counties, Regional Planning Commissions (RPC), State administrative, and LEPC (Local Emergency Planning Committee) boundaries. It is a mosaic of generally 'best available' boundaries from various data sources (refer to ARC_SRC and SRC_NOTES attributes). The layer was originally developed from TBHASH, which was the master VGIS town boundary layer prior to the development and release of BNDHASH. BNDHASH replaces TBHASH as well as TB250, TB24, CNTY250, VT250, and RPC250. By integrating village, town, county, RPC, and state boundaries into a single layer, VCGI has assured vertical integration of these boundaries and simplified maintenance. BNDHASH also includes annotation text for town, county, and RPC names. Please search for Vermont-GIS for more local level GIS datasets.
This dataset shows points of interest in Luxembourg. Features included in this dataset include, libraries, post offices, places of worship, parking, restaurants, cafes, fuel, parking, police, theaters, cinemas, prisons, universities, camp sites and other public places. there are almost 500 points of interest included.
he BNDHASH data layer depicts Vermont villages, towns, counties, Regional Planning Commissions (RPC), State administrative, and LEPC (Local Emergency Planning Committee) boundaries. It is a mosaic of generally 'best available' boundaries from various data sources (refer to ARC_SRC and SRC_NOTES attributes). The layer was originally developed from TBHASH, which was the master VGIS town boundary layer prior to the development and release of BNDHASH. BNDHASH replaces TBHASH as well as TB250, TB24, CNTY250, VT250, and RPC250. By integrating village, town, county, RPC, and state boundaries into a single layer, VCGI has assured vertical integration of these boundaries and simplified maintenance. BNDHASH also includes annotation text for town, county, and RPC names. BNDHASH includes the following feature classes: 1) VILLAGES = Vermont villages 2) TOWNS = Vermont towns 3) COUNTIES = Vermont counties 4) RPCS = Vermont's Regional Planning Commissions 5) ADMIN = State Administrative Boundaries created by Executive Order #7-95 (Oct 1995) 6) LEPC = Local Emergency Planning Committee boundaries 7) VTBND = Vermont's state boundary Please search for Vermont-GIS for more local level GIS datasets.
This dataset shows the Rail system of Luxembourg, including rails and trams. attributes include name of the rail, and type of rail. Data was downloaded from openstreetmap geofabrik.
This Dataset was downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout Luxembourg. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc.
This dataset includes waterways, including rivers streams, aqueducts and canals. Data was found online at the Openstreetmaps Geofabrik site.
This dataset shows more than 100 buildings in Lithuania. Each building is represented as a polygon.
This dataset shows more than 800 natural areas in Lithuania. Natural Areas consist of water, riverbanks, parks, forests, and other feature types.
This dataset shows points of interest in Lithuania. Features included in this dataset include, libraries, post offices, places of worship, parking, restaurants, cafes, fuel, parking, police, theaters, cinemas, prisons, universities, camp sites and other public places. There are more than 300 points of interest included.
The BNDHASH data layer depicts Vermont villages, towns, counties, Regional Planning Commissions (RPC), State administrative, and LEPC (Local Emergency Planning Committee) boundaries. It is a mosaic of generally 'best available' boundaries from various data sources (refer to ARC_SRC and SRC_NOTES attributes). The layer was originally developed from TBHASH, which was the master VGIS town boundary layer prior to the development and release of BNDHASH. BNDHASH replaces TBHASH as well as TB250, TB24, CNTY250, VT250, and RPC250. By integrating village, town, county, RPC, and state boundaries into a single layer, VCGI has assured vertical integration of these boundaries and simplified maintenance. BNDHASH also includes annotation text for town, county, and RPC names. BNDHASH includes the following feature classes: 1) VILLAGES = Vermont villages 2) TOWNS = Vermont towns 3) COUNTIES = Vermont counties 4) RPCS = Vermont's Regional Planning Commissions 5) ADMIN = State Administrative Boundaries created by Executive Order #7-95 (Oct 1995) 6) LEPC = Local Emergency Planning Committee boundaries 7) VTBND = Vermont's state boundary Please search for Vermont-GIS for more local level GIS datasets.
This dataset shows the Rail system of Lithuania, including rails and trams. attributes include name of the rail, and type of rail. Data was downloaded from openstreetmap geofabrik.
This Dataset was downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout Lithuania. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc.
This dataset includes waterways, including rivers streams, aqueducts and canals. Data was found online at the Openstreetmaps Geofabrik site.
This dataset shows natural areas in Liechtenstein. Natural Areas consist of water, riverbanks, parks, forests, and other feature types.
This dataset shows points of interest in Liechtenstein. Features included in this dataset include, libraries, post offices, places of worship, parking, restaurants, cafes, fuel, parking, police, theaters, cinemas, prisons, universities, camp sites and other public places.
This dataset shows the Rail system of Liechtenstein, including rails and trams. attributes include name of the rail, and type of rail. Data was downloaded from openstreetmap geofabrik.
This Dataset was downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout Liechtenstein. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc.
The BNDHASH data layer depicts Vermont villages, towns, counties, Regional Planning Commissions (RPC), State administrative, and LEPC (Local Emergency Planning Committee) boundaries. It is a mosaic of generally 'best available' boundaries from various data sources (refer to ARC_SRC and SRC_NOTES attributes). The layer was originally developed from TBHASH, which was the master VGIS town boundary layer prior to the development and release of BNDHASH. BNDHASH replaces TBHASH as well as TB250, TB24, CNTY250, VT250, and RPC250. By integrating village, town, county, RPC, and state boundaries into a single layer, VCGI has assured vertical integration of these boundaries and simplified maintenance. BNDHASH also includes annotation text for town, county, and RPC names. BNDHASH includes the following feature classes: 1) VILLAGES = Vermont villages 2) TOWNS = Vermont towns 3) COUNTIES = Vermont counties 4) RPCS = Vermont's Regional Planning Commissions 5) ADMIN = State Administrative Boundaries created by Executive Order #7-95 (Oct 1995) 6) LEPC = Local Emergency Planning Committee boundaries 7) VTBND = Vermont's state boundary Please search for Vermont-GIS for more local level GIS datasets.
The BNDHASH data layer depicts Vermont villages, towns, counties, Regional Planning Commissions (RPC), State administrative, and LEPC (Local Emergency Planning Committee) boundaries. It is a mosaic of generally 'best available' boundaries from various data sources (refer to ARC_SRC and SRC_NOTES attributes). The layer was originally developed from TBHASH, which was the master VGIS town boundary layer prior to the development and release of BNDHASH. BNDHASH replaces TBHASH as well as TB250, TB24, CNTY250, VT250, and RPC250. By integrating village, town, county, RPC, and state boundaries into a single layer, VCGI has assured vertical integration of these boundaries and simplified maintenance. BNDHASH also includes annotation text for town, county, and RPC names. BNDHASH includes the following feature classes: 1) VILLAGES = Vermont villages 2) TOWNS = Vermont towns 3) COUNTIES = Vermont counties 4) RPCS = Vermont's Regional Planning Commissions 5) ADMIN = State Administrative Boundaries created by Executive Order #7-95 (Oct 1995) 6) LEPC = Local Emergency Planning Committee boundaries 7) VTBND = Vermont's state boundary
The BNDHASH data layer depicts Vermont villages, towns, counties, Regional Planning Commissions (RPC), State administrative, and LEPC (Local Emergency Planning Committee) boundaries. It is a mosaic of generally 'best available' boundaries from various data sources (refer to ARC_SRC and SRC_NOTES attributes). The layer was originally developed from TBHASH, which was the master VGIS town boundary layer prior to the development and release of BNDHASH. BNDHASH replaces TBHASH as well as TB250, TB24, CNTY250, VT250, and RPC250. By integrating village, town, county, RPC, and state boundaries into a single layer, VCGI has assured vertical integration of these boundaries and simplified maintenance. BNDHASH also includes annotation text for town, county, and RPC names. BNDHASH includes the following feature classes: 1) VILLAGES = Vermont villages 2) TOWNS = Vermont towns 3) COUNTIES = Vermont counties 4) RPCS = Vermont's Regional Planning Commissions 5) ADMIN = State Administrative Boundaries created by Executive Order #7-95 (Oct 1995) 6) LEPC = Local Emergency Planning Committee boundaries 7) VTBND = Vermont's state boundary
This data was provided by the international Olympic committee and various other sources to provide a historic and aggregate look at the number of medals won by all of the countries competing at the Olympics. Attribute details include number of medals total, and the number of each Gold, Silver, and Bronze medals given to athletes representing each country. Citius, Altius, Fortius!
Abstract: The Downtown Districts in this coverage Purpose: The purpose of this coverage is to collect downtown district data Please search for Vermont-GIS for more local level GIS datasets.
The House district lines for this layer were determined from maps posted on the Vermont Legislature website (http://www.leg.state.vt.us/reports/02redistricting/), whilst the geospatial lines were selected from the datalayers - BoundaryTown_TBHASH (replaced by BNDHASH 6/2003), WaterHydro_VHD, TransRoad_RDS, Water Hydro_LKCH100, and TransRail_RR. Each House district is comprised of existing Vermont town boundaries, roads, railroads, rivers or streams, lake boundaries, or Block boundaries from DemoCensus_TIGER 2000 data (obtained from the 'Geography Network' - http://www.geographynetwork.com/) The redistricting process of the Vermont State House and Senate is regulated by Act 151., which is an act relating to professional regulation and redistricting the Senate and the House of Representatives. Please search for Vermont-GIS for more local level GIS datasets.
This dataset includes waterways, including rivers streams, aqueducts and canals. Data was found online at the Openstreetmaps Geofabrik site.
This dataset shows more than 100 buildings in Latvia. Each building is represented as a polygon.
Abstract: Polygons are based on the BoundaryTown_TB250 coverage. Refer to BoundaryTown_TB250 documentation for more information. Purpose: Vermont School Districts and Supervisory Unions Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 19960730. Please search for Vermont-GIS for more local level GIS datasets.
This dataset shows over 600 natural areas in Latvia. Natural Areas consist of water, riverbanks, parks, forests, and other feature types.
This dataset shows points of interest in Latvia. Features included in this dataset include, libraries, post offices, places of worship, parking, restaurants, cafes, fuel, parking, police, theaters, cinemas, prisons, universities, camp sites and other public places. there are more than 300 points of interest included.
This dataset shows the Rail system of Latvia, including rails and trams. attributes include name of the rail, and type of rail. Data was downloaded from openstreetmap geofabrik.
This Dataset was downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout Latvia. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc.
VERSION HISTORY * 1.1: Included all USA AVA's and all New Zealand wine regions. Corrected location for region Berkane in Morocco (tks Nonoth!) * 1.2: Included all Italy's DOCG and DOC, all wine regions of Chile and Uruguay * 1.21: Corrected location for DO Monte Lentiscal in Gran Canaria, Canary Is., Spain (tks Rogelio) * 1.22: Included all wine regions from Moldova, Montenegro, Serbia, Bulgaria, Czech Republic and Croatia. From this version onwards, all finished countries will display sources I used to get information on their wine regions. * 1.23: Corrected location for AOC Haut-Mdoc, AOC Moulis-en-Mdoc, AOC Lussac-St. Emilion and AOC Canon-Fronsac in Bordeaux, France (tks Christian) * 1.24: corrected location for Rietrivier FS, created group Northern Cape and marked fortified region Boberg in South Africa (tks. Watamu) * 1.25: corrected location for Russian River Valley AVA in California (tks Jon W.) * 1.26: fixed GoTo coordinates for DO Ribeiro in Spain. It moved the focus to Oslo, Norway...!!! (tks Bottleshock) * 1.3: included all wine regions of Austria and Hungary
Abstract: Polygons are based on the BoundaryTown_TB250 coverage. Refer to BoundaryTown_TB250 documentation for more information. Purpose: Vermont School Districts and Supervisory Unions Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 19960730 Please search for Vermont-GIS for more local level GIS datasets.
This dataset includes waterways, including rivers streams, aqueducts and canals. Data was found online at the Openstreetmaps Geofabrik site.
Abstract: The senatorial district designations for this layer were taken from a trace map of unknown origin. A visual compilation of the traced lines and data layer BoundaryTown_TBHASH arcs was done to create the polygons forming the senate district outlines. To get a more detailed description of the how the arcs for BoundaryTown_TBHASH coverage were developed see the BoundaryTown_TBHASH coverage's detailed documentation. Purpose: Vermont Senate districts Supplemental_Information: This data layer of state senatorial districts is derived from the BoundaryTown_TBHASH coverage. The layer deliniates the districts as decribed in the Vermont State Statutes. Please search for Vermont-GIS for more local level GIS datasets.
This dataset shows more than 2,000 buildings in Italy. Each building is represented as a polygon.
bstract: The senatorial district designations for this layer were taken from a trace map of unknown origin. A visual compilation of the traced lines and data layer BoundaryTown_TBHASH arcs was done to create the polygons forming the senate district outlines. To get a more detailed description of the how the arcs for BoundaryTown_TBHASH coverage were developed see the BoundaryTown_TBHASH coverage's detailed documentation. Purpose: Vermont Senate districts Supplemental_Information: This data layer of state senatorial districts is derived from the BoundaryTown_TBHASH coverage. The layer deliniates the districts as decribed in the Vermont State Statutes. Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 19951128 Time_of_Day: Unknown Please search for Vermont-GIS for more local level GIS datasets.
This dataset shows natural areas in Italy. Natural Areas consist of water, riverbanks, parks, forests, and other feature types.
This dataset shows points of interest in Italy. Features included in this dataset include, libraries, post offices, places of worship, parking, restaurants, cafes, fuel, parking, police, theaters, cinemas, prisons, universities, camp sites and other public places. there are over 15,000 points of interest included.
This dataset shows the Rail system of Italy, including rails and trams. attributes include name of the rail, and type of rail. Data was downloaded from openstreetmap geofabrik.
The Senatorial district lines for this layer were obtained from the Vermont Legislature website (http://www.leg.state.vt.us/reports/02redistricting/), while the geospatial lines were selected from the datalayer BoundaryTown_TBHASH. Each Senatorial district is comprised of existing Vermont town boundaries. The redistricting process of the Vermont State House and Senate is regulated by Act 151., which is an act relating to professional regulation and redistricting the Senate and the House of Representatives. Please search for Vermont-GIS for more local level GIS datasets.
BoundaryOther_SUNIONS was intended to provide outlines of all Vermont school supervisory unions for use in displaying demographic data pertinent to each union, and other comparitive statistics pertinent to these administrative units. The boundaries were created by providing each municipal jurisdiction in BoundaryTown_TB250 with an attribute representing the supervisory union in which it participates, and then dissolving internal town boundaries within each supervisory union. Each SUNION is made up of contiguous BoundaryTown_TB250 polygons. There are some BoundaryTown_TB250 polygons for which no SUNION is designated, because of their unpopulated nature. The list of municipalities participating in each SUNION was provided to VCGI by the office of the Commissioner of the Vermont Dept. of Education. Purpose: School supervisory union boundaries Please search for Vermont-GIS for more local level GIS datasets.
Abstract: BoundaryOther_VTRANSDIST illustrates highway district boundaries. Purpose: BoundaryOther_VTRANSDIST was developed to illustrate VTrans' highway district boundaries. Please search for Vermont-GIS for more local level GIS datasets.
Abstract: BoundaryOther_VTRANSDISTEX was developed to illustrate VTrans' highway district boundary extensions. Purpose: This layer demonstrates VTrans' highway district boundary extensions. Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 20030311 Please search for Vermont-GIS for more local level GIS datasets.
A ZIP Code Tabulation Area (ZCTA) is a statistical geographic entity that approximates the delivery area for a U.S. Postal Service five-digit digit ZIP Code. ZCTAs are aggregations of census blocks that have the same predominant ZIP Code associated with the addresses in the U.S. Census Bureau's Master Address File (MAF). ZCTAs do not precisely depict ZIP Code delivery areas, and do not include all ZIP Codes used for mail delivery. The U.S. Census Bureau has established ZCTAs as a new geographic entity similar to, but replacing, data tabulations for ZIP Codes undertaken in conjunction with the 1990 and earlier censuses. Please search for Vermont-GIS for more local level GIS datasets.
This dataset was created from the USDA Farmers Market database listing. The point data is usually the exact location of the market but may sometimes be the general area. Attributes include contact information, hours, and if the market takes food stamps.
Abstract: BoundaryRegion_VTRANSCNSTR was developed to illustrate VTrans' four construction management regions. Northeast, Northwest, Southeast and Southwest. Purpose: This data depicts the four construction management regions of VTrans. They are divided by Northeast, Northwest, Southeast and Southwest. Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 20030311 Please search for Vermont-GIS for more local level GIS datasets.
Large ownerships were identified and verified through a variety of sources. Purpose: Large forest land ownership blocks Supplemental_Information: Methodology - Large ownerships were identified and verified through a variety of sources. Bill Snow of the Use Value Appraisal (UVA) program prepared a list of owners of parcels enrolled in the UVA program which met project criteria. This list was cross-checked with information from six county foresters in the study area. Private foresters, town clerks, land specialists with a variety of conservation organizations, and the Vermont Timber Land Owners Association provided names of possible large landowners. A letter describing the project, and seeking information and cooperation, was sent by Conrad Motyka, Vermont Commissioner of Forests, Parks and Recreation to the 32 owners potentially identified as owning 5000 acres or more in the study area. Responses with usable information were obtained from 17 land owners. The final study includes 10 individual and corporate owners verified by this process. These owners are identified in Appendix I. An existing arc-info large-scale digital coverage of forest land ownerships in the study area was obtained from James A. Sewall Company of Old Town, Maine. This coverage became the starting point for assembling the data for this project. Please search for Vermont-GIS for more local level GIS datasets.
Large ownerships were identified and verified through a variety of sources. Purpose: Large forest land ownership blocks Supplemental_Information: Methodology - Large ownerships were identified and verified through a variety of sources. Bill Snow of the Use Value Appraisal (UVA) program prepared a list of owners of parcels enrolled in the UVA program which met project criteria. This list was cross-checked with information from six county foresters in the study area. Private foresters, town clerks, land specialists with a variety of conservation organizations, and the Vermont Timber Land Owners Association provided names of possible large landowners. A letter describing the project, and seeking information and cooperation, was sent by Conrad Motyka, Vermont Commissioner of Forests, Parks and Recreation to the 32 owners potentially identified as owning 5000 acres or more in the study area. Responses with usable information were obtained from 17 land owners. The final study includes 10 individual and corporate owners verified by this process. Please search for Vermont-GIS for more local level GIS datasets.
This Dataset is part of five datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout central Italy. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. Because the dataset for the entire country was too big, it was divided into north western, north eastern,central, southern and insular Italy.
This Dataset is part of five datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout insular Italy. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. Because the dataset for the entire country was too big, it was divided into north western, north eastern,central, southern and insular Italy.
This Dataset is part of five datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout north eastern Italy. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. Because the dataset for the entire country was too big, it was divided into north western, north eastern,central, southern and insular Italy.
This Dataset is part of five datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout north western Italy. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. Because the dataset for the entire country was too big, it was divided into north western, north eastern,central, southern and insular Italy.
This Dataset is part of five datasets downloaded from the openstreetmap, Geofabrik website and includes information and locations of roads throughout southern Italy. The dataset includes Road names and type. Type of road includes information on whether the road is a primary, residential or secondary road, etc. Because the dataset for the entire country was too big, it was divided into north western, north eastern,central, southern and insular Italy.
This dataset includes waterways, including rivers streams, aqueducts and canals. Data was found online at the Openstreetmaps Geofabrik site.
Abstract: This dataset is a subset of the Vermont Conserved Lands Database (CLD); it contains parcels owned by Municipal, State, and Federal entities. However, it also includes a small number of privately-owned lands for which public access is mandated by easement. Public lands with natural-resource features are included regardless of their conservation designation, but parcels dedicated to schools, garages, or other non-natural facilities are not included. The public lands included in this layer are considered likely to be maintained with at least a minimal degree of protection from land conversion, but may allow multiple uses such as logging and recreation access. The minimum size for most parcels is two acres, with exceptions for critical natural areas and state public access areas. This public-lands version of the database is distributed through the Vermont Center for Geographic Information (VCGI). A version containing both public and private lands is available only through the University of Vermont, Spatial Analysis Laboratory (SAL); distribution of the complete dataset is strictly limited to persons or organizations with an approved research or conservation focus. Purpose: The public-lands extract of the Vermont Conserved Lands Database (CLD) is a geospatial database, or GIS coverage, of parcels that are currently protected from development through public ownership. This layer was designed to facilitate land-conservation planning in Vermont and is intended to include all publicly-owned parcels greater than two acres in area that are expected to remain protected from development or land conversion. Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 12/01/2004 Please search for Vermont-GIS for more local level GIS datasets.
Abstract: DemoCensus_BLCKGR2000 includes Census 2000 Block Group boundaries and SF1 attributes. The data was downloaded (http://arcdata.esri.com/data/tiger2000/tiger_download.cfm) by VCGI from ESRI's Data website. The downloaded shapefiles were combined into a single shapefile and reprojected to VCS NAD83. A set of Census 2000 SF1 (http://www.esri.com/censuswatch/sf1_ref.html) attributes were joined to the shapefile. For more information go to http://www.census.gov/geo/www/tlmetadata/tl2kmeta.txt Purpose: Provide VT GIS users with easy access of Census 2000 SF1 demographics. Process_Description: In order for others to use the information in the Census TIGER data base in a GIS or for other geographic applications, the Census Bureau releases periodic extracts of selected information from the Census TIGER data base, organized as topologically consistent networks. Software (TIGER DB routines) written by the Geography Division allows for efficient access to Census TIGER system data. TIGER/Line files are extracted from the Census TIGER data base by county or statistical equivalent area. Census TIGER data for a given county or statistical equivalent area is then distributed among 17 fixed length record ASCII files, each one containing attributes for either line, polygon, or landmark geographic data types. The Census Bureau has released various versions of the TIGER/Line files since 1988, with each version having more updates (feature and feature names, address ranges and ZIP Codes, coordinate updates, revised field definitions, etc.) than the previous version. Please search for Vermont-GIS for more local level GIS datasets.
DemoCensus_CNTY1990 is derived from BoundaryCounty_CNTY250. BoundaryCounty_CNTY250 was derived from BoundaryTown_TB250 (TB250 was archived 6/2003 and has been replaced by BNDHASH. However, CNTY1990 has not been regenerated). Please search for Vermont-GIS for more local level GIS datasets.
Abstract: DemoCensus_CNTY2000 includes Census 2000 County boundaries and SF1 attributes. The data was downloaded (http://arcdata.esri.com/data/tiger2000/tiger_download.cfm) by VCGI from ESRI's Data website. The downloaded shapefiles were combined into a single shapefile and reprojected to VCS NAD83. A set of Census 2000 SF1 (http://www.esri.com/censuswatch/sf1_ref.html) attributes were joined to the shapefile. For more information go to http://www.census.gov/geo/www/tlmetadata/tl2kmeta.txt Purpose: Provide VT GIS users with easy access of Census 2000 SF1 demographics. Please search for Vermont-GIS for more local level GIS datasets.
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Abstract: Vermont County Population data 1840 to 2000. Purpose: Provide Vermont County Population data 1840 to 2000. Please search for Vermont-GIS for more local level GIS datasets.
This datasets displays the locations of all recorded earthquakes of a magnitude of 1 or greater around the world from the period of 7.23.08 to 7.30.08. The findings are from the US Geological Survey (USGS). Earthquake information is extracted from a merged catalog of earthquakes located by the USGS and contributing networks. Earthquakes will be broadcast within a few minutes for California events and within 30-minutes for world-wide events.
This coverage represents year MODIS fire detections for the 7 day period specified for the geographic area covering the conterminous United States, Alaska, Hawaii, Canada and northern Mexico. The detections are obtained using both TERRA MODIS and AQUA MODIS data are collected and processed as a cooperative effort between the USDA Forest Service Remote Sensing Application Center, NASA-Goddard Space Flight Center and the University of Maryland. These fire detection data are collected for the USDA Forest Service MODIS Active Fire Mapping Program (http://activefiremaps.fs.fed.us). These data are intended to provide a synoptic view of active fires for the past and present over the specified time period. These data are collected at a spatial resolution of 1 kilometer and therefore are only intended for geographic display and analysis at the national and regional levels. No responsibility is assumed by the USDA Forest Service in the use of these data.
Minor Civil Division Boundaries for Vermont from 19990 Census TIGER data. Associated table documenation at http://www.vcgi.org/metadata/census1990_suppdoc.txt Purpose: Minor Civil Division boundaries for Census mapping using 1990 Census data. Please search for Vermont-GIS for more local level GIS datasets.
This dataset shows the number of workers in 25 categories of occupation. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1338.
The 1990 Census TIGER/Line File is an extract of selected geographic and cartographic information from the Census Bureau's TIGER (Topologically Integrated Geographic Encoding & Referencing) data base. The primary sources of the data base were the USGS RF 100,000 scale maps from photographically reduced (to RF 100,000) and mosaicked RF 24,000 scale maps. (This source description and other statements regarding data accuracy and limitations are excerpted from - TIGER/Line Census Files, 1990 Technical Documentation prepared by the Bureau of the Census. The Bureau, 1991. This document is available through Customer Services, Census Bureau, Washington DC, 20233; 301/763-4100.) Please search for Vermont-GIS for more local level GIS datasets.
This coverage was originally obtained by the UVM School of Natural Resources and Distributed to various VGIS users. The data source is the 1990 Census of Population & Housing, Summary Tape File (STF) 3. Purpose: MCDs with 18 (of 3619) 1990 Census variables from STF3A Please search for Vermont-GIS for more local level GIS datasets.
Abstract: DemoCensus_PLACE2000 includes Census 2000 Place boundaries and SF1 attributes. The data was downloaded (http://arcdata.esri.com/data/tiger2000/tiger_download.cfm) by VCGI from ESRI's Data website. The downloaded shapefiles were combined into a single shapefile and reprojected to VCS NAD83. A set of Census 2000 SF1 (http://www.esri.com/censuswatch/sf1_ref.html) attributes were joined to the shapefile. For more information go to http://www.census.gov/geo/www/tlmetadata/tl2kmeta.txt Purpose: Provide VT GIS users with easy access of Census 2000 SF1 demographics. Please search for Vermont-GIS for more local level GIS datasets.
This dataset shows the amount of money that John McCain has spent throughout the USA during his candidacy for President of the United States on primary advertising from 1.1.2007 to 6.4.2008. It also shows the amount of times advertisements have been aired that he has paid for and that support him. The information provided gives the name of the state, the total amount of funds that have been spent on primary advertising by John McCain in the state, the percentage of advertising spending that has occurred in the state among the total amount of spending that McCain has done throughout the entire country on primaries ad spending, and the amount of airings that have ocurred in the state. All statistics are estimates and based on data provided by TNS Media Intelligence/Campaign Media Analysis Group, CNN's consultant on campaign ad spending. For more information vist cnn.com/ELECTION/2008
This dataset displays the inmate populations for all the Federal Prisons throughout the United States on 7.31.08. This weekly Population Report can be found on the Bureau of Prisons website at bop.gov. These facilities are positioned by their lat/lon and this dataset is updated on a weekly basis.
This datalayer contains Population data extracted from the 1790 through 2000 U.S. Censuses of Population. Population projections were obtained from the Vermont Health Care Authority (created in 1993). The initial Health and Population database was obtained from the Center for Rural Studies and funded by the Vermont Forum on Sprawl in 1999. Data has since been augmented with additional items and entered into geospatial format by VCGI. All data is organized by town. Purpose: Vermont Indicators Database - Population Please search for Vermont-GIS for more local level GIS datasets.
The 1990 Census TIGER/Line File is an extract of selected geographic and cartographic information from the Census Bureau's TIGER (Topologically Integrated Geographic Encoding & Referencing) database. The primary sources of the geographic data base were the USGS RF 100,000 scale maps from photographically reduced (to RF 100,000 scale) and mosaicked RF 24,000 scale maps. The attribute source is the 1990 Population & Housing Census, Summary Tape File (STF) 3. Please search for Vermont-GIS for more local level GIS datasets.
Abstract: Vermont County Economic Data 1840 to 2000 Purpose: To provide Vermont County Economic Data 1840 to 2000 Please search for Vermont-GIS for more local level GIS datasets. please see metadata link for attribute definitions
Town level economic data for Vermont. Initial funding for much of this data was provided by the Vermont Forum on Indicators Online (VFOS). The UVM Center for Rural Studies has collected and added additional items to enhance the initial dataset. Purpose: Vermont Indicators Online Database - Economic Data Please search for Vermont-GIS for more local level GIS datasets. Please see the metadata link for attribute descriptions
Abstract: County level education data for Vermont (1880 to 2000). Purpose: Provide Vermont County Education data from 1840 to 2000. Please search for Vermont-GIS for more local level GIS datasets. please see the metadata link for attribute descriptions
Town level education data for Vermont. Initial funding for much of this data was provided by the Vermont Forum on Indicators Online (VFOS). VCGI has collected and added additional items to enhance the initial dataset. Please search for Vermont-GIS for more local level GIS datasets. Please see the metadata link for attribute definitions
Abstract: Vermont County Public Saftey Data Purpose: Provide Vermont County Public Saftey Data Please search for Vermont-GIS for more local level GIS datasets. please see the metadata link for attribute descriptions
Town level public safety data for Vermont. Initial funding for much of this data was provided by the Vermont Forum on Indicators Online (VFOS). VCGI has collected and added additional items to enhance the initial dataset. Purpose: Vermont Indicators Online Database - Health & Safety Data Please search for Vermont-GIS for more local level GIS datasets. Please see metadata link for attribute descriptions
Abstract: Vermont county level housing data. Purpose: Vermont county level housing data. Please search for Vermont-GIS for more local level GIS datasets. please see metadata link for attribute descriptions.
Town level housing data for Vermont. Initial funding for much of this data was provided by the Vermont Forum on Indicators Online (VFOS). VCGI has collected and added additional items to enhance the initial dataset. Purpose: Vermont Indicators Online Database - Housing Data Please search for Vermont-GIS for more local level GIS datasets. Please see the metadata link for attribute descriptions
Town level natural resources data for Vermont. Initial funding for much of this data was provided by the Vermont Forum on Indicators Online (VFOS). UVM Center for Rural Studies has collected and added additional items to enhance the initial dataset. Purpose: Vermont Indicators Online Database - Natural Resources Data Please search for Vermont-GIS for more local level GIS datasets. please see the metadata link for attribute descriptions
Abstract: Vermont county level transportation data. Please search for Vermont-GIS for more local level GIS datasets.Please see the metadata link for attribute descriptions
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Town level transportation data for Vermont Initial funding for much of this data was provided by the Vermont Forum on Indicators Online (VFOS). UVM Center for Rural studies has collected and added additional items to enhance the initial dataset. Purpose: Vermont Indicators Online Database - Transportation Data Please search for Vermont-GIS for more local level GIS datasets. please see the metadata link for attribute details/definitions
This datalayer contains Vermont forestry estimate data, by county, primarily obtained from the Vermont Forest Inventory and Analysis (FIA), conducted in the years; 1966, 1973, 1983, and 1997 by the USDA Forest Service. Inventory items for Grand Isle and Franklin Counties have been combined. See the 'Attribute Accuracy Report' for reasons. Also included within this database are land-use change figures, reflective of the time periods; 1970s-1980s, 1980s-1990s, and the 1970s-1990s. This data has been made available by the Orton Family Foundation and the UVM School of Natural Resources, Spatial Analysis Lab. One may download Excel spreadsheets or comma-delimited ASCII textfiles of this data from the VGIS indicators webpage - http://www.vcgi.org/indicators/ Please search for Vermont-GIS for more local level GIS datasets. please see the metadata link for attribute definitions
This data comes from the Openstreetmap people and provides detailed information on various points of interest throughout the country of Germany. Points of interest include, retail stores, pharmacies, schools, hospitals, places of worship, fuel, parking, restaurants, pubs, cafes, and various other locations. Data was uploaded as a poly point shape file, and includes attributes for type of feature and name of the feature when available.
This data came from openstreetmaps and shows various building polygons throughout the Baden-wuerttemberg administrative area in Germany. Building data is incomplete but does show detailed information about the locations of various buildings, including attributes for building name when available.
this data was made available from openstreetmaps and shows the natural areas in the administrative are of Baden-wuerttemberg in the Country of Germany. Natural Areas include Forests, parks, river banks, and water. This data was uploaded as a polygon shape file and contains attributes for feature type and feature name when available.
This data was provided by openstreetmaps and shows the railways in the Baden-wuerttemberg administrative area of Germany. Railways includes trams, subways, and regular rails. data was uploaded as a poly line shape file and includes attributes for rail type, and rail name if available.
This data ,provided by openstreetmaps, shows various waterways in the Baden-wuerttemberg administrative area in the country of Germany. Waterways include canals, rivers,streams, and other water bound transportation routes. Data was uploaded as a polygon shape file.
This dataset contains the OFHEO Housing Price Index (3d Quarter) from 1988 to 2007. Percent changes between the years were also calculated. Here's a summary of the index from the OFHEO website: The HPI is a broad measure of the movement of single-family house prices. The HPI is a weighted, repeat-sales index, meaning that it measures average price changes in repeat sales or refinancings on the same properties. This information is obtained by reviewing repeat mortgage transactions on single-family properties whose mortgages have been purchased or securitized by Fannie Mae or Freddie Mac since January 1975.
This dataset displays the locations of the hometowns of all USA 2008 Olympic Team athletes. The data was collected from teamusa.org and nbcolympics.com. The city and state was geocoded to obtain the lat/lon coordinates of the hometown. The information provided includes: name, hometown, state of the hometown, country of the hometown, lat/lon of the hometown, and the sport that the athlete is competing in.
This data ,provided by openstreetmaps, shows various buildings in the Bayern administrative area in the country of Germany. This data was uploaded as a polygon shape file and contains attributed information for the Building name if it is available.
This data was provided by openstreetmaps and contains detailed information on the NAtural Areas in the Bayern administrative area in Germany. Natural areas include parks, forests, riverbanks, and water. data was uploaded as a poly line shape file and contains attributes for the feature typem and the feature name when available.
This dataset is a compilation of housing-related variables for selected MSAs/CBSAs in the United States - from 2000-2007 depending on the availability of data for each variable. The dataset contains the following information (levels and percent changes for each): Housing Price Indices (HPI): Office of Federal Housing Enterprise Oversight (http://www.ofheo.gov/hpi) Building Permits: U.S. Census (http://censtats.census.gov/bldg/bldgprmt.shtml). The original data is county-level by month - the numbers were aggregated (summed) to MSA and over 12 months for each year. Population and Components of Change: U.S. Census (http://www.census.gov/popest/states/NST-comp-chg.html) Unemployment Rates and Employment: Bureau of Labor Statistics, Local Area Unemployment Statistics (http://www.bls.gov/LAU/). The original data is county-level - labor, unemployment and employment numbers were aggregated (summed) to MSA and unemployment rates for the MSAs calculated. Per Capita Income: Bureau of Economic Statistics, Regional Economic Accounts (http://www.bea.gov/regional/reis/)
This data was provided by openstreetmaps and contains detailed information on the NAtural Areas in the Bayern administrative area in Germany. Natural areas include parks, forests, riverbanks, and water. data was uploaded as a poly line shape file and contains attributes for the feature typem and the feature name when available.
This data ,provided by openstreetmaps, shows various waterways in the Bayern administrative area in the country of Germany. Waterways include canals, rivers,streams, and other water bound transportation routes. Data was uploaded as a poly line shape file with attributes for Feature name, feature type, and feature width when available.
This data ,provided by openstreetmaps, shows various buildings in the Berlin administrative area in the country of Germany. This data was uploaded as a polygon shape file and contains attributed information for the Building name if it is available.
This data was provided by openstreetmaps and contains detailed information on the Natural Areas in the Berlin administrative area in Germany. Natural areas include parks, forests, riverbanks, and water. data was uploaded as a poly line shape file and contains attributes for the feature type and the feature name when available.
This data was provided by openstreetmaps and shows the locations of the Railway infrastructure in the Berlin administrative area in the country of Germany. Railways include trams, subways, and standard trains. This railways data set was uploaded as a poly line shape file and includes attribute information for Feature name and feature type.
This data was provided by Openstreetmaps and shows detailed information about the roadways in Berlin, Germany. Roadways contain attributed information about the road type (Primary, secondary, path, highway, etc...) and the road name when available. data was uploaded as a poly line shape file.
This data ,provided by openstreetmaps, shows various waterways in the Berlin administrative area in the country of Germany. Waterways include canals, rivers,streams, and other water bound transportation routes. Data was uploaded as a poly line shape file with attributes for Feature name, feature type, and feature width when available.
This data ,provided by openstreetmaps, shows various buildings in the Brandenburg administrative area in the country of Germany. This data was uploaded as a polygon shape file and contains attributed information for the Building name if it is available.
This data was provided by openstreetmaps and contains detailed information on the Natural Areas in the Brandenburg administrative area in Germany. Natural areas include parks, forests, riverbanks, and water. data was uploaded as a poly line shape file and contains attributes for the feature type and the feature name when available.
This data was provided by Openstreetmaps and shows the locations of the Railway infrastructure in the Brandenburg administrative area in the country of Germany. Railways include trams, subways, and standard trains. This railway data set was uploaded as a poly line shape file and includes attribute information for Feature name and feature type.
This data, provided by Openstreetmaps, shows various waterways in the Brandenburg administrative area in the country of Germany. Waterways include canals, rivers, streams, and other water bound transportation routes. Data was uploaded as a poly line shape file with attributes for Feature name, feature type, and feature width when available.
This data, provided byOopenstreetmaps, shows various buildings in the Bremen administrative area in the country of Germany. This data was uploaded as a polygon shape file and contains attributed information for the Building name if it is available.
This data was provided by Openstreetmaps and contains detailed information on the Natural Areas in the Bremen administrative area in Germany. Natural areas include parks, forests, riverbanks, and water. Data was uploaded as a poly line shape file and contains attributes for the feature type and the feature name when available.
This data was provided by Openstreetmaps and shows the locations of the Railway infrastructure in the Bremen administrative area in the country of Germany. Railways include trams, subways, and standard trains. This railway data set was uploaded as a poly line shape file and includes attribute information for Feature name and feature type.
This data was provided by Openstreetmaps and shows detailed information about the roadways in Bremen, Germany. Roadways contain attributed information about the road type (Primary, secondary, path, highway, etc...) and the road name when available. Data was uploaded as a poly line shape file.
This data, provided by Openstreetmaps, shows various waterways in the Bremen administrative area in the country of Germany. Waterways include canals, rivers, streams, and other water bound transportation routes. Data was uploaded as a poly line shape file with attributes for Feature name, feature type, and feature width when available.
MLS
This data, provided byOopenstreetmaps, shows various buildings in the Hamburg administrative area in the country of Germany. This data was uploaded as a polygon shape file and contains attributed information for the Building name if it is available.
This data was provided by Openstreetmaps and contains detailed information on the Natural Areas in the Bayern administrative area in Germany. Natural areas include parks, forests, riverbanks, and water. Data was uploaded as a poly line shape file and contains attributes for the feature type and the feature name when available.
This data was provided by Openstreetmaps and shows the locations of the Railway infrastructure in the Hamburg administrative area in the country of Germany. Railways include trams, subways, and standard trains. This railway data set was uploaded as a poly line shape file and includes attribute information for Feature name and feature type.
This data was provided by Openstreetmaps and shows detailed information about the roadways in Hamburg, Germany. Roadways contain attributed information about the road type (Primary, secondary, path, highway, etc...) and the road name when available. Data was uploaded as a poly line shape file. There is also an attribute called oneway which is a one way flag. If the value is 0, it is a two way road, if the value of the one way flag is 1, the road is a one way road.
This data, provided by Openstreetmaps, shows various waterways in the Hamburg administrative area in the country of Germany. Waterways include canals, rivers, streams, and other water bound transportation routes. Data was uploaded as a poly line shape file with attributes for Feature name, feature type, and feature width when available.
This data, provided byOopenstreetmaps, shows various buildings in the Bayern administrative area in the country of Germany. This data was uploaded as a polygon shape file and contains attributed information for the Building name if it is available.
This data was provided by Openstreetmaps and contains detailed information on the Natural Areas in the Hessen administrative area in Germany. Natural areas include parks, forests, riverbanks, and water. Data was uploaded as a poly line shape file and contains attributes for the feature type and the feature name when available.
This data was provided by Openstreetmaps and shows the locations of the Railway infrastructure in the Hessen administrative area in the country of Germany. Railways include trams, subways, and standard trains. This railway data set was uploaded as a poly line shape file and includes attribute information for Feature name and feature type.
This data, provided by Openstreetmaps, shows various waterways in the Hessen administrative area in the country of Germany. Waterways include canals, rivers, streams, and other water bound transportation routes. Data was uploaded as a poly line shape file with attributes for Feature name, feature type, and feature width when available.
The point shapefile shows business locations where Obama campaign spent money in the month of January, 2008. Between Jan and Jun, 2008, Obama has spent record amounts of money (over $200 million) for his presidential bid. Over $31.4 million were spent in January alone. The top five locations in terms of $ amount and type of expenditure for Jan, 2008 are: 1. Philadelphia, PA 19175; Media Buy (TV), over $16 million 2. Kansas City, MO 64153; Air Travel, over $1.3 million 3. Evanston, IL 60201; Mailing, over $1.1 million 4. Wash D.C. 20036; Media Buy, nearly $700 K 5. Cambridge, MA 20001; Telemarketing, nearly $600 k Note that the data for expenditure was extracted from the monthly campaign finance report filed by Obama campaign for the month of Jan, 2008. The expenditure data was aggregated by Business names and then geocoded. FEC Notice: Reports and statements filed by political committees may be inspected and copied by anyone. The names and addresses of individual contributors, however, may not be sold or used for any commercial purpose or to solicit any type of contribution or donation, such as political or charitable contributions. 2 U.S.C. 438(a)(4); 11 CFR 104.15. This restriction applies to Federal reports and statements. Any person who violates this restriction is subject to the penalties of 2 U.S.C. 437g. http://www.fec.gov/pages/brochures/sale_and_use_brochure.pdf
The point shapefile shows business locations where Obama campaign spent money in the month of February, 2008. Between Jan and Jun, 2008, Obama has spent record amounts of money (over $200 million) for his presidential bid. More than 44.11 million were spent during February. The top five locations in terms of $ amount and type of expenditure for Feb 2008 are: 1. Philadelphia, PA 19175; Media Buy (TV), over $21 million 2. Kansas City, MO 64153; Travel/Lodging, over $2.62 million 3. Ft. Lauderdale, FL 333360; Credit card fees, $2.30 million 4. St. Louis, MO 63102; Media Buy, over $2.2 million 5. Greenville, OH 33331; Print Advt, over 1 million Note that the data for expenditure was extracted from the monthly campaign finance report filed by Obama campaign for the month of Feb, 2008. The expenditure data was aggregated by Business names and then geocoded. FEC Notice: Reports and statements filed by political committees may be inspected and copied by anyone. The names and addresses of individual contributors, however, may not be sold or used for any commercial purpose or to solicit any type of contribution or donation, such as political or charitable contributions. 2 U.S.C. 438(a)(4); 11 CFR 104.15. This restriction applies to Federal reports and statements. Any person who violates this restriction is subject to the penalties of 2 U.S.C. 437g. http://www.fec.gov/pages/brochures/sale_and_use_brochure.pdf
The point shapefile shows business locations where Obama campaign spent money in the month of March, 2008. Over $33 million were spent in March and from Jan and Jun, 2008, Obama has spent record amounts of money (over $200 million) for his presidential bid. The top five locations in terms of $ amount and type of expenditure for March 2008 are: 1. Philadelphia, PA 19175; Media Buy (TV), over $8.4 million 2. St. Cloud, MN 56303, Telemarketing 2. Kansas City, MO, 64153; Air Travel, over $13 million 3. Evanston, IL 60201; Mailing, over $11 million 4. Wash D.C., 20036; Media Buy, nearly $7 million 5. Ft. Lauderdale, FL, 333360; Credit card charges, nearly $6 million Note that the data for expenditure was extracted from the monthly campaign finance report filed by Obama campaign for the month of March, 2008. The expenditure data was aggregated by Business names and then geocoded. FEC Notice: Reports and statements filed by political committees may be inspected and copied by anyone. The names and addresses of individual contributors, however, may not be sold or used for any commercial purpose or to solicit any type of contribution or donation, such as political or charitable contributions. 2 U.S.C. 438(a)(4); 11 CFR 104.15. This restriction applies to Federal reports and statements. Any person who violates this restriction is subject to the penalties of 2 U.S.C. 437g. http://www.fec.gov/pages/brochures/sale_and_use_brochure.pdf
The point shapefile shows business locations where Obama campaign spent money in the month of April, 2008. Between Jan and Jun, 2008, Obama has spent record amounts of money (over $200 million) for his presidential bid. Nearly $38.3 million were spent in April alone. The top five locations in terms of $ amount and type of expenditure for April, 2008 are: 1. Philadelphia, PA 19175; Media buy, over $17 million 2. Ft. Lauderdale, FL 333360; Credit card charge, over $2.4 million 3. Kansas City, MO 64153; Air Travel, over $2 million 4. St. Louis, MO 63102; Media buy, over $1.3 million 5. Milwaukee, WI 53127; Printing, nearly $800k million Note that the data for expenditure was extracted from the monthly campaign finance report filed by Obama campaign for the month of April 2008. The expenditure data was aggregated by Business names and then geocoded. FEC Notice: Reports and statements filed by political committees may be inspected and copied by anyone. The names and addresses of individual contributors, however, may not be sold or used for any commercial purpose or to solicit any type of contribution or donation, such as political or charitable contributions. 2 U.S.C. 438(a)(4); 11 CFR 104.15. This restriction applies to Federal reports and statements. Any person who violates this restriction is subject to the penalties of 2 U.S.C. 437g. http://www.fec.gov/pages/brochures/sale_and_use_brochure.pdf
The point shapefile shows business locations where Obama campaign spent money in the month of May 2008. Between Jan and Jun, 2008, Obama has spent record amounts of money (over $200 million) for his presidential bid. Nearly $28.4 million were spent in May alone. The top five locations in terms of $ amount and type of expenditure for May, 2008 are: 1. Philadelphia, PA 19175; Media buy, over $4.5 million 2. Evanston, IL 60201 ; Mailing, nearly $2.3 million 3. Ft. Lauderdale, FL 333360; Credit card charge, over $2.12 million 4. Kansas City, MO 64153; Air Travel, over $2 million 5. Elk Grove, IL 60007; Payroll processing, $1.21 million Note that the data for expenditure was extracted from the monthly campaign finance report filed by Obama campaign for the month of May 2008. The expenditure data was aggregated by Business names and then geocoded. FEC Notice: Reports and statements filed by political committees may be inspected and copied by anyone. The names and addresses of individual contributors, however, may not be sold or used for any commercial purpose or to solicit any type of contribution or donation, such as political or charitable contributions. 2 U.S.C. 438(a)(4); 11 CFR 104.15. This restriction applies to Federal reports and statements. Any person who violates this restriction is subject to the penalties of 2 U.S.C. 437g. http://www.fec.gov/pages/brochures/sale_and_use_brochure.pdf
The point shapefile shows business locations where Obama campaign spent money in the month of Jun 2008. Between Jan and Jun, 2008, Obama has spent record amounts of money (over $200 million) for his presidential bid. Nearly $25.9 million were spent in Jun alone. The top five locations in terms of $ amount and type of expenditure for Jun, 2008 are: 1. Philadelphia, PA 19175; Media buy, over $6.72 million 2. Milwaukee, WI 53217; Postage, 4 million 3. Kansas City, MO 64153; Air Travel, over $2.92 million 4. Greenville, OH 43331; Print/Advt, $1.9 million 5. Miami, FL 33166; Travel, $840k Note that the data for expenditure was extracted from the monthly campaign finance report filed by Obama campaign for the month of Jun 2008. The expenditure data was aggregated by Business names and then geocoded. FEC Notice: Reports and statements filed by political committees may be inspected and copied by anyone. The names and addresses of individual contributors, however, may not be sold or used for any commercial purpose or to solicit any type of contribution or donation, such as political or charitable contributions. 2 U.S.C. 438(a)(4); 11 CFR 104.15. This restriction applies to Federal reports and statements. Any person who violates this restriction is subject to the penalties of 2 U.S.C. 437g. http://www.fec.gov/pages/brochures/sale_and_use_brochure.pdf
This datasets displays the locations of all recorded earthquakes of a magnitude of 1 or greater around the world from the period of 7.28.08 to 8.4.08. The findings are from the US Geological Survey (USGS). Earthquake information is extracted from a merged catalog of earthquakes located by the USGS and contributing networks. Earthquakes will be broadcast within a few minutes for California events and within 30-minutes for world-wide events.
This coverage represents year MODIS fire detections for the 7 day period specified for the geographic area covering the conterminous United States, Alaska, Hawaii, Canada and northern Mexico. The detections are obtained using both TERRA MODIS and AQUA MODIS data are collected and processed as a cooperative effort between the USDA Forest Service Remote Sensing Application Center, NASA-Goddard Space Flight Center and the University of Maryland. These fire detection data are collected for the USDA Forest Service MODIS Active Fire Mapping Program (http://activefiremaps.fs.fed.us). These data are intended to provide a synoptic view of active fires for the past and present over the specified time period. These data are collected at a spatial resolution of 1 kilometer and therefore are only intended for geographic display and analysis at the national and regional levels. No responsibility is assumed by the USDA Forest Service in the use of these data.
This dataset displays the number of 2008 Summer USA Olympic Athlete's Hometown States in the USA. It also compares the number of athletes per state with the 2007 state total population to get a rate of olympic athletes per state population. This rate shows which states produce the best rate of olympic athletes out of their state population. The top 5 states include: Hawaii, Maine, California, Wyoming, and Louisiana. 2007 State Populations come from the the United States Census Bureau in their population statistics entitled: Annual Estimates of the Population for the United States, Regions, States, and Puerto Rico: April 1, 2000 to July 1, 2007. This population data can be found at census.gov/popest/states/NST-ann-est.html.
Abstract: A Radiation Facility is a DEP primary facility type related to the Radiation Protection Program. The sub-facility types related to Radiation that are included are:___ Accelerator -- Electronic machine producing high energy radiation, Mammography Quality Stds Act Tube -- Specialized X-ray equipment for mammography, X-ray Machine -- A facility where X-ray machines other than accelerators are used
Abstract: A Residual Waste Operation is a DEP primary facility type related to the Waste Management Residual Waste Program. Residual waste is waste generated at an industrial, mining, or wastewater treatment facility. The sub-facility types related to Residual Waste that are included are:____ Generator: A generator is a person, company, institution, or municipality that produces or creates residual waste. Residual waste is waste generated at an industrial, mining, or wastewater treatment facility. Impoundment: An impoundment is a facility designed to hold an accumulation of liquid wastes. Incinerator: An incinerator is an enclosed device using controlled combustion to thermally break down residual waste. Land Application: Land application is a facility that uses agricultural utilization or land reclamation of waste. Residual waste is land applied for its nutrient value or as a soil conditioner. Landfill: A landfill is a facility that uses land for the disposal of residual waste. Processing Facility: A processing facility is a transfer station, compost facility, resource recovery facility, or a facility that reduces the volume or bulk of residual waste for off-site reuse. Transfer Station: A transfer station receives and processes or temporarily stores residual waste at a location other than the generation site. This sub-facility facilitates the transportation or transfer of residual waste to a processing or disposal facility.
Abstract: Areas of PA that are unsuitable for mining purposes Purpose: Educational
Abstract: Pennsylvania ambulatory surgical centers licensed or approved by the PA Department of Health from July 1, 2005 to June 30, 2006. Purpose: This layer was developed for use by emergency service organizations and the general public. Supplemental_Information: The PA Dept. of Health's Bureau of Health Statistics and Research collects ambulatory surgical center data in an annual survey. The associated addresses were geocoded. Geocoding of addresses creates points of estimated locations. These locations were not verified. The user should assume that there is some spacial error.
Abstract: PA Birth Centers from the PA Dept of Health's quality assurance database. Current as of 10/24/2007. Purpose: This layer was developed for use in emergency situations and for the general public. Supplemental_Information: The birth center addresses were geocoded. Geocoding of addresses creates points of estimated locations. These locations were not verified. The user should assume that there is some spatial error.
Abstract: PA Community Mental Health Centers from the PA Dept of Health's quality assurance database. Current as of 12/6/2006. Purpose: This layer was developed for use in emergency situations and for the general public. Supplemental_Information: The community mental health center addresses were geocoded. Geocoding of addresses creates points of estimated locations. These locations were not verified. The user should assume that there is some spatial error.
Abstract: PA Drug and Alcohol Treatment Centers from the PA Dept of Health's quality assurance database. Current as of 10/25/2007. Purpose: This layer was developed for use in emergency situations and for the general public. Supplemental_Information: The drug and alcohol treatment center addresses were geocoded. Geocoding of addresses creates points of estimated locations. These locations were not verified. The user should assume that there is some spatial error.
Abstract: Pennsylvania home health agencies from the Department of Health's quality assurance database. Current as of 10/26/2007. Purpose: This layer was developed for use in emergency situations and for the general public. Supplemental_Information: The home health agency addresses were geocoded. Geocoding of addresses creates points of estimated locations. These locations were not verified. The user should assume that there is some spacial error.
Abstract: Pennsylvania hospices from the Department of Health's quality assurance database. Current as of 10/29/2007. Purpose: This layer was developed for use in emergency situations and for the general public. Supplemental_Information: The hospice addresses were geocoded. Geocoding of addresses creates points of estimated locations. These locations were not verified. The user should assume that there is some spacial error.
Abstract: Pennsylvania Hospitals that are licensed or approved by the PA Dept. of Health and Public Welfare or part of the Facilities Resource Emergency Database (FRED). Licensed or approved hospitals are those identified from the July 1, 2005 to June 30, 2006 reporting period. Purpose: This layer was developed for use by emergency service organizations and the general public. Supplemental_Information: The PA Dept. of Health's Bureau of Health Statistics and Research collects hospital data in the annual survey of hospitals. This shapefile was created using much of this information along with some data from FRED. The hospital addresses were geocoded. These geocoded locations were checked against PA aerial photo web services from the Pennsylvania Spatial Data Access (PASDA) website. Where appropriate, the geocoded locations (points) were rectified. Some locations could not be rectified.
Abstract: PA Intermediate care facilities from the Department of Health's quality assurance database. Current as of 10/29/2007. Purpose: This layer was developed for use in emergency situations and for the general public. Supplemental_Information: The intermediate care facility addresses were geocoded. Geocoding of addresses creates points of estimated locations. These locations were not verified. The user should assume that there is some spacial error. Time_Period_of_Content:
This data, provided by Openstreetmaps, shows various buildings in the Mecklenburg administrative area in the country of Germany. This data was uploaded as a polygon shape file and contains attributed information for the Building name if it is available.
This data was provided by Openstreetmaps and contains detailed information on the Natural Areas in the Mecklenburg administrative area in Germany. Natural areas include parks, forests, riverbanks, and water. Data was uploaded as a poly line shape file and contains attributes for the feature type and the feature name when available.
Abstract: Long-term care facilities from the Department of Health's annual survey for 2006. Purpose: This layer was created for use in emergency situations and for the general public. Supplemental_Information: The long-term care addresses were geocoded. Geocoding of addresses creates points of estimated locations. These locations were not verified. The user should assume that there is some spatial error.
This data was provided by Openstreetmaps and shows the locations of the Railway infrastructure in the Mecklenburg administrative area in the country of Germany. Railways include trams, subways, and standard trains. This railway data set was uploaded as a poly line shape file and includes attribute information for Feature name and feature type.
This data was provided by Openstreetmaps and shows detailed information about the roadways in Mecklenburg, Germany. Roadways contain attributed information about the road type (Primary, secondary, path, highway, etc...) and the road name when available. Data was uploaded as a poly line shape file. There is also an attribute called oneway which is a one way flag. If the value is 0, it is a two way road, if the value of the one way flag is 1, the road is a one way road.
This data, provided by Openstreetmaps, shows various waterways in the Mecklenburg administrative area in the country of Germany. Waterways include canals, rivers, streams, and other water bound transportation routes. Data was uploaded as a poly line shape file with attributes for Feature name, feature type, and feature width when available.
This data, provided by Openstreetmaps, shows various buildings in the Niedersachsen administrative area in the country of Germany. This data was uploaded as a polygon shape file and contains attributed information for the Building name if it is available.
This data was provided by Openstreetmaps and contains detailed information on the Natural Areas in the Niedersachsen administrative area in Germany. Natural areas include parks, forests, riverbanks, and water. Data was uploaded as a poly line shape file and contains attributes for the feature type and the feature name when available.
This data was provided by Openstreetmaps and shows the locations of the Railway infrastructure in the Niederchsen administrative area in the country of Germany. Railways include trams, subways, and standard trains. This railway data set was uploaded as a poly line shape file and includes attribute information for Feature name and feature type.
This data was provided by Openstreetmaps and shows detailed information about the roadways in Niedersachsen, Germany. Roadways contain attributed information about the road type (Primary, secondary, path, highway, etc...) and the road name when available. Data was uploaded as a poly line shape file. There is also an attribute called oneway which is a one way flag. If the value is 0, it is a two way road, if the value of the one way flag is 1, the road is a one way road.
This data, provided by Openstreetmaps, shows various buildings in the Nordrhein-Westfalen administrative area in the country of Germany. This data was uploaded as a polygon shape file and contains attributed information for the Building name if it is available.
This data was provided by Openstreetmaps and contains detailed information on the Natural Areas in the Nordrhein-Westfalen administrative area in Germany. Natural areas include parks, forests, riverbanks, and water. Data was uploaded as a poly line shape file and contains attributes for the feature type and the feature name when available.
This data was provided by Openstreetmaps and shows the locations of the Railway infrastructure in the Nordrhein-Westfalen administrative area in the country of Germany. Railways include trams, subways, and standard trains. This railway data set was uploaded as a poly line shape file and includes attribute information for Feature name and feature type.
This data, provided by Openstreetmaps, shows various waterways in the Nordrhein-Westfalen administrative area in the country of Germany. Waterways include canals, rivers, streams, and other water bound transportation routes. Data was uploaded as a poly line shape file with attributes for Feature name, feature type, and feature width when available.
Describes the average income of the heads of households. The number is given by the aggregate income of the area described divided by the number of heads of households. (note: ESRI Arcview is unable to display this data set in table form. If you need to do so, please use QGIS, which can display the table form of the data.)
Describes the number of apartments in the region. For comparison, see the data sets on numbers of houses and "rooms." (note: While thematic mapping and most other functions work, ESRI ArcView is unable to display this data set in table form. If you need to do so, please use QGIS, which can display the table form of the data.)
Describes the average number of years of study of the head of household.
Describes the number of houses which are listed as "Improvised."
Describes the number of houses without toilets and sanitation facilities.
Describes the number of houses connected to the main water network. (could use some help in precisely defining what the "rede geral" is for any portuguese speakers. thanks! contact info below) (note: While thematic mapping and most other functions work, ESRI ArcView is unable to display this data set in table form. If you need to do so, please use QGIS, which can display the table form of the data.)
Describes the road network for part of Sao Paulo.
This data contains several variables which describe income for The City of New York. Data was drawn from the Census Bureau's Summary File 3, which is limited to the census tract level.
Abstract: This point layer shows the positions within the borders of Pennsylvania where helicopter landing facilities that are licensed by the Pennsylvania Department of Transportation may be available. Purpose: The dataset was provided to the Pennsylvania Department of Health to identify those points where helicopters can land safely and have access to emergency medical facilities, such as hospitals. Supplemental_Information: These data are intended for use at 1:24,000 or smaller scale. These features are available in ESRI shapefile format.
Abstract: This point layer shows the positions of hospitals within the borders of Pennsylvania that are licensed by the Pennsylvania Department of Health. Purpose: The dataset was developed by the Pennsylvania Department of Health to plot points representing licensed hospitals in Pennsylvania. Time_Period_of_Content:
Abstract: The dataset shows the positions within the borders of Pennsylvania where aircraft landing facilities that are licensed by the Pennsylvania Department of Transportation may be available. Purpose: The dataset was provided to the Pennsylvania Department of Health to identify those points where aircraft, including helicopters, can land safely and have access to emergency medical facilities, such as hospitals. Supplemental_Information: These data are intended for use at 1:24,000 or smaller scale. The features are available in ESRI shapefile format.
Abstract: PA Physical and Speech Therapy Facilities from the PA Dept of Health's quality assurance database. Current as of 10/29/2007. Purpose: This layer was developed for use in emergency situations and for the general public. Supplemental_Information: The physical and speech therapy facility addresses were geocoded. Geocoding of addresses creates points of estimated locations. These locations were not verified. The user should assume that there is some spatial error.
Abstract: PA Portable X-ray from the PA Dept of Health's quality assurance database. Current as of 11/1/2007. Purpose: This layer was developed for use in emergency situations and for the general public. Supplemental_Information: The portable x-ray addresses were geocoded. Geocoding of addresses creates points of estimated locations. These locations were not verified. The user should assume that there is some spatial error.
This data, provided by Openstreetmaps, shows various buildings in the Rheinland-Pfalz administrative area in the country of Germany. This data was uploaded as a polygon shape file and contains attributed information for the Building name if it is available.
This data was provided by Openstreetmaps and contains detailed information on the Natural Areas in the Rheinland-Pfalz administrative area in Germany. Natural areas include parks, forests, riverbanks, and water. Data was uploaded as a poly line shape file and contains attributes for the feature type and the feature name when available.
This data was provided by Openstreetmaps and shows the locations of the Railway infrastructure in the administrative area Rheinland-Pfalz in the country of Germany. Railways include trams, subways, and standard trains. This railway data set was uploaded as a poly line shape file and includes attribute information for Feature name and feature type.
This data was provided by Openstreetmaps and shows detailed information about the roadways in Rheinland-Pfalz, Germany. Roadways contain attributed information about the road type (Primary, secondary, path, highway, etc...) and the road name when available. Data was uploaded as a poly line shape file. There is also an attribute called oneway which is a one way flag. If the value is 0, it is a two way road, if the value of the one way flag is 1, the road is a one way road.
This data, provided by Openstreetmaps, shows various buildings in the Saarland administrative area in the country of Germany. This data was uploaded as a polygon shape file and contains attributed information for the Building name if it is available.
This data was provided by Openstreetmaps and contains detailed information on the Natural Areas in the Saarland administrative area in Germany. Natural areas include parks, forests, riverbanks, and water. Data was uploaded as a poly line shape file and contains attributes for the feature type and the feature name when available.
This data was provided by Openstreetmaps and shows the locations of the Railway infrastructure in the Bayern administrative area in the country of Germany. Railways include trams, subways, and standard trains. This railway data set was uploaded as a poly line shape file and includes attribute information for Feature name and feature type.
This data was provided by Openstreetmaps and shows detailed information about the roadways in Berlin, Germany. Roadways contain attributed information about the road type (Primary, secondary, path, highway, etc...) and the road name when available. Data was uploaded as a poly line shape file. There is also an attribute called oneway which is a one way flag. If the value is 0, it is a two way road, if the value of the one way flag is 1, the road is a one way road.
Abstract: PA Psychiatric Residential Treatment Facilities from the PA Dept of Health's quality assurance database. Current as of 10/29/2007. Purpose: This layer was developed for use in emergency situations and for the general public. Supplemental_Information: The psychiatric residential treatment facility addresses were geocoded. Geocoding of addresses creates points of estimated locations. These locations were not verified. The user should assume that there is some spatial error. Time_Period_of_Content:
This data, provided by Openstreetmaps, shows various waterways in the Saarland administrative area in the country of Germany. Waterways include canals, rivers, streams, and other water bound transportation routes. Data was uploaded as a poly line shape file with attributes for Feature name, feature type, and feature width when available.
Abstract: PA Rural Health Clinics from the PA Dept of Health's quality assurance database. Current as of 11/1/2007. Purpose: This layer was developed for use in emergency situations and for the general public. Supplemental_Information: The rural health clinic addresses were geocoded. Geocoding of addresses creates points of estimated locations. These locations were not verified. The user should assume that there is some spatial error.
This data, provided by Openstreetmaps, shows various buildings in the Sachsen administrative area in the country of Germany. This data was uploaded as a polygon shape file and contains attributed information for the Building name if it is available.
This data was provided by Openstreetmaps and contains detailed information on the Natural Areas in the Sachsen administrative area in Germany. Natural areas include parks, forests, riverbanks, and water. Data was uploaded as a poly line shape file and contains attributes for the feature type and the feature name when available.
This data was provided by Openstreetmaps and shows the locations of the Railway infrastructure in the Sachsen administrative area in the country of Germany. Railways include trams, subways, and standard trains. This railway data set was uploaded as a poly line shape file and includes attribute information for Feature name and feature type.
This data, provided by Openstreetmaps, shows various waterways in the Sachsen administrative area in the country of Germany. Waterways include canals, rivers, streams, and other water bound transportation routes. Data was uploaded as a poly line shape file with attributes for Feature name, feature type, and feature width when available.
Abstract: Urban area boundaries within Pennsylvania based on U.S Census Bureau maps. Purpose: Public information and support for transportation planning, design and development. Supplemental_Information: This data is intended for use at 1:24,000 or smaller scale.
Abstract: This layer contains the locations of fishing and boating access areas that have been veirified by the Pennsylvania Fish and Boat Commission and are public or semi-public areas. In addition, accesses identified by water trail partners on water trail guides have been added to the layer. Purpose: Mapping of the location of access areas throughout Pennsylvania, promotion of fishing and boating opportunities in Pennsylvania, key data layer in numerous maps, guides and brochures produced by the PFBC. Supplemental_Information: This layer was originally compiled by multiple sources including the Pennsylvania Environmental Council (PEC), Pennsylvania Department of Transportation (PennDOT), Westsylvania Heritage Corporation and numerous water trail partners. All sources for the layer have been imported into a centralized layer by the PFBC which is continuously updated. Many of the updates are spatial in terms of moving points to GPS collected locations or visually based on high accurayc aerial photography - namely PAMap and the 2004 National Agricultural Imagery Program Color Infrared photography.
This dataset displays major roads throughout Beijing China and the surrounding area as of 9.1.1997. Abstract: Roads of the world extracted from Vector Map Level 0 and converted to Arc/Info format by FAO/GIS. Vector Map (VMap) Level 0 is an updated and improved version Digital Chart of the World (DCW). Purpose: Base map. The VMap Level 0 database provides worldwide coverage of vector-based geospatial data which can be viewed at 1:1,000,000 scale. It consists of geographic, attribute, and textual data. . VMap Level 0 includes GIS layers for road and rail networks, drainage systems, utility networks, airports, elevation contours, coastlines, international boundaries and populated places.
Abstract: Many streams, lakes, ponds, and reservoirs are officially classified as "approved trout waters." This means that these waters contain significant portions that are open to public fishing and are stocked with trout. The waters in this layer are lakes (not flowing waters) classified as "approved trout waters" and these are open to trout harvest during the "extended season" (see Commonwealth Inland Waters). Unlisted tributary streams (those not included in this list of "approved trout waters") are not open to harvest of trout during the "extended season." Only approved trout waters and all waters downstream of approved trout waters are open during this period. Spearing fish is not permitted in any of these waters at any time of the year. These waters are closed to all fishing (including taking of minnows) from March 1 to 8 a.m. on the opening day of the trout season. Some of these waters have been included in the Early Season Trout-Stocked Waters Program and are open from March 1 through March 31. A person shall be deemed to be fishing if he or she has in possession any fishing line, rod, or other device that can be used for fishing while on or in any water or on the banks within 25 feet of any water where fishing is prohibited. Check with the nearest Fish & Boat Commission office if there is any question about whether or not a water area is "approved." This layer is current through the new fishing regulations released December of 2006 for the 2007 fishing season. Purpose: Mapping and analysis of the approved trout waters in Pennsylvania. Promotion of Pennsylvania trout fishing opportunities. Supplemental_Information: This layer was created based on the 1:24000 National Hydropahy Dataset (NHD) water bodies layer. The appropriate water bodies were copied into the layer based on the regulatory definition of each approved trout water. This resulted in one lake per each defined approved trout water. To create the points, XTools Pro version 3.1 was used to calculate the centroids of each lake polygon.
Abstract: Many streams, lakes, ponds, and reservoirs are officially classified as "approved trout waters." This means that these waters contain significant portions that are open to public fishing and are stocked with trout. The waters in this layer are lakes (not flowing waters) classified as "approved trout waters" and these are open to trout harvest during the "extended season" (see Commonwealth Inland Waters). Unlisted tributary streams (those not included in this list of "approved trout waters") are not open to harvest of trout during the "extended season." Only approved trout waters and all waters downstream of approved trout waters are open during this period. Spearing fish is not permitted in any of these waters at any time of the year. These waters are closed to all fishing (including taking of minnows) from March 1 to 8 a.m. on the opening day of the trout season. Some of these waters have been included in the Early Season Trout-Stocked Waters Program and are open from March 1 through March 31. A person shall be deemed to be fishing if he or she has in possession any fishing line, rod, or other device that can be used for fishing while on or in any water or on the banks within 25 feet of any water where fishing is prohibited. Check with the nearest Fish & Boat Commission office if there is any question about whether or not a water area is "approved." This layer is current through the new fishing regulations released December of 2006 for the 2007 fishing season. Purpose: Mapping and analysis of the approved trout waters in Pennsylvania. Promotion of Pennsylvania trout fishing opportunities. Supplemental_Information: This layer was created based on the 1:24000 National Hydropahy Dataset (NHD) water bodies layer. The appropriate water bodies were copied into the layer based on the regulatory definition of each approved trout water. This resulted in one lake per each defined approved trout water.
Abstract: Many streams, lakes, ponds, and reservoirs are officially classified as "approved trout waters." This means that these waters contain significant portions that are open to public fishing and are stocked with trout. The waters in this layer are flowing waters (not lakes) classified as "approved trout waters" and these are open to trout harvest during the "extended season" (see Commonwealth Inland Waters). Unlisted tributary streams (those not included in this list of "approved trout waters") are not open to harvest of trout during the "extended season." Only approved trout waters and all waters downstream of approved trout waters are open during this period. Spearing fish is not permitted in any of these waters at any time of the year. These waters are closed to all fishing (including taking of minnows) from March 1 to 8 a.m. on the opening day of the trout season. Some of these waters have been included in the Early Season Trout-Stocked Waters Program and are open from March 1 through March 31. A person shall be deemed to be fishing if he or she has in possession any fishing line, rod, or other device that can be used for fishing while on or in any water or on the banks within 25 feet of any water where fishing is prohibited. Check with the nearest Fish & Boat Commission office if there is any question about whether or not a water area is "approved." This layer is current through the new fishing regulations released December of 2006 for the 2007 fishing season. Purpose: Mapping and analysis of the approved trout waters in Pennsylvania. Promotion of Pennsylvania trout fishing opportunities.
Abstract: Coverage areas of Pennsylvania Fish and Boat Commission Area Fisheries Managers (AFM). Purpose: To be utilized with various maps to depict PFBC AFM Areas. Supplemental_Information: The data set was created from the "104 - State Water Plan watersheds, 1998" data set produced by Environmental Resources Research Institute and housed on the Penn State Spatial Data Access web site. Polygons from this layer were copied and merged, where appropriate, to create the AFM Areas polygons.
Map of the Olympic Venues in Beijing. This data set provides the locations of the various Olympic venues for the 2008 Beijing Olympic Games. Most are located close to Beijing however the Triathlon, Rowing, Equestrian, and Sailing events are all located away from the main Olympic Village. Attributes include Venue name, the sports that will be held at that venue, and latitude longitude.
The point shapefile is based on data from the air quality monitors scattered across various districts in the Beijing province. The SO2 (Sulphur dioxide), NO2 (Nitros Oxide), PM10 (particulate matter) data is released by Beijing Municipal Environment Protection Bureau (BMEPB). Note that the table on the BMEPB site has names of the monitoring stations. These were geo-referenced with the help of Google Earth and a shape file was generated, hence these are only approximate locations of air monitoring stations. The following table from the website shows the level of pollution in terms of SO2, NO2 and PM10 ranges. API Level 0-50 51-100 101-150 () 151-200 () 201-250 () 251-300 () 300-500 A range between 300 to 500 is worse. For comparison see BBC's Beijing Pollution Watch website that show a photograph of Beijing skyline as of 5th August, 2008, along with the PM10 readings (BBC: 5 August PM10 reading: 104 micrograms per cubic metre). The same website also has photos and data for other days. Source: http://news.bbc.co.uk/1/hi/in_pictures/7506925.stm
The poly shapefile is based on the ESRI's data CD (2004-2006) of the districts within Beijing province which is located within Hubei province. There are 15 disticts within Beijing provice.
The point shapefile shows the data from the air quality monitors across different district in the Beijing province 6th Aug, 2008. For comparison see BBC's Beijing Pollution Watch website that show a photograph of Beijing skyline as of 6th August, 2008, along with the PM10 readings (BBC: 6 August PM10 reading: 186 micrograms per cubic metre). The same website also has photos and data for other days. Source: http://news.bbc.co.uk/1/hi/in_pictures/7506925.stm
Abstract: Office locations of Pennsylvania Fish and Boat Commission Area Fisheries Managers (AFM) Purpose: To be utilized with various maps to depict PFBC staff locations and for the public to know where they can obtain information from the Pennsylvania Fish and Boat Commission across Pennsylvania. Supplemental_Information: The data set was created by geocoding the office addresses and then verifying the locations with aerial photography. The photography used was PA Map imagery where available and National Agricultural Imagery Program 2004 Color Infrared imagery in other areas.
Abstract: This layer contains those lakes within Pennsylvania that have specifc special regulations related to boating as defined by the Pennsylvania Fish and Boat Commission. Purpose: Mapping of areas with special boating regulations and to inform the boating public of the restrictions. Supplemental_Information: This layer was created by selecting the appropriate lakes based on the regulation definitions from the 1:24000 National Hydrography Dataset (NHD) water bodies layer and copying them into a new layer.
Abstract: This layer contains those streams/rivers within Pennsylvania that have specifc special regulations related to boating as defined by the Pennsylvania Fish and Boat Commission. Purpose: Mapping of areas with special boating regulations and to inform the boating public of the restrictions. Supplemental_Information: This layer was created based on the 1:24000 National Hydropahy Dataset (NHD) flowing waters layer. The appropriate portions of the flowing waters were copied into the layer and merged based on the definition of each special regulation area. This resulted in one stream segment per each defined special regulation area.
average income per household
This data, provided by Openstreetmaps, shows various buildings in the Sachsen-Anhalt administrative area in the country of Germany. This data was uploaded as a polygon shape file and contains attributed information for the Building name if it is available.
This data was provided by Openstreetmaps and contains detailed information on the Natural Areas in the Sachsen-Anhalt administrative area in Germany. Natural areas include parks, forests, riverbanks, and water. Data was uploaded as a poly line shape file and contains attributes for the feature type and the feature name when available.
This data was provided by Openstreetmaps and shows the locations of the Railway infrastructure in the Sachsen-Anhalt administrative area in the country of Germany. Railways include trams, subways, and standard trains. This railway data set was uploaded as a poly line shape file and includes attribute information for Feature name and feature type.
This data was provided by Openstreetmaps and shows detailed information about the roadways in Sachsen-Anhalt, Germany. Roadways contain attributed information about the road type (Primary, secondary, path, highway, etc...) and the road name when available. Data was uploaded as a poly line shape file. There is also an attribute called oneway which is a one way flag. If the value is 0, it is a two way road, if the value of the one way flag is 1, the road is a one way road.
This data, provided by Openstreetmaps, shows various waterways in the Sachsen-Anhalt administrative area in the country of Germany. Waterways include canals, rivers, streams, and other water bound transportation routes. Data was uploaded as a poly line shape file with attributes for Feature name, feature type, and feature width when available.
Abstract: Class A streams are streams that support a population of wild (natural reproduction) trout of sufficient size and abundance to support a long-term and rewarding sport fishery. The Commission does not stock these streams. This GIS layer respresents the sections of streams that are designated as such. Purpose: For mapping and analysis related to designated high quality wild trout streams. Supplemental_Information: This data set was created by loading both River Mile values and latitude/longitude coordinates of section limits existing in the PFBC Fisheries database. The locational values were originally derived from a variety of sources including GPS, scaling from USGS maps and aerial photography. Tools in ArcMap were used to generate the stream sections from these values. Each section was checked against the descriptions contained for each upstream and downstream section limit and the sections were adjusted where necessary. The current 1:24000 National Hydrography Dataset (NHD) flwoing waters layer was used as the base for drawing the sections and this data is coincident with NHD.
This data, provided by Openstreetmaps, shows various buildings in the Thueringen administrative area in the country of Germany. This data was uploaded as a polygon shape file and contains attributed information for the Building name if it is available.
This data was provided by Openstreetmaps and contains detailed information on the Natural Areas in the Thueringen administrative area in Germany. Natural areas include parks, forests, riverbanks, and water. Data was uploaded as a poly line shape file and contains attributes for the feature type and the feature name when available.
Abstract: This GIS layer contains locations of nurseries that participate in the Commission's Cooperative Nursery Program, "Coops" supplement the Commission's stocking program. For more information about the Cooperative Nursery Program, contact the Commission's Coordinator, Cecil Houser, chouser@state.pa.us or 814-359-5124. Purpose: General mapping of cooperative nurseries and for Department of Environmental Protection permit reviews for projects taking place in the vicinity of these facilities. Supplemental_Information: The layer was created from latitude/longitude values provided by the PFBC Bureau of Fisheries Cooperative Nursery Unit which originated from various sources. The values were used to create the layer using ArcGIS 9.1 tools. The resulting locations were verified by the Cooperative Nursery Unit and adjusted where necessary.
This data was provided by Openstreetmaps and shows the locations of the Railway infrastructure in the Thueringen administrative area in the country of Germany. Railways include trams, subways, and standard trains. This railway data set was uploaded as a poly line shape file and includes attribute information for Feature name and feature type.
This data was provided by Openstreetmaps and shows detailed information about the roadways in Thueringen, Germany. Roadways contain attributed information about the road type (Primary, secondary, path, highway, etc...) and the road name when available. Data was uploaded as a poly line shape file. There is also an attribute called oneway which is a one way flag. If the value is 0, it is a two way road, if the value of the one way flag is 1, the road is a one way road.
This data, provided by Openstreetmaps, shows various waterways in the Thueringen administrative area in the country of Germany. Waterways include canals, rivers, streams, and other water bound transportation routes. Data was uploaded as a poly line shape file with attributes for Feature name, feature type, and feature width when available.
This data was provided by Openstreetmaps and shows the locations of various points of interest throughout Great Britain. Great Britain includes, Irealnd, Scotland, England, and Wales. Points of Interest include a variety of features such as hospitals, schools, pubs, fuel, parking, places of worship, restaurants, and other feature types. Attributes include feature type and feature name when available.
Abstract: Suggested places to fish in Pennsylvania by the PA Fish and Boat Commission. The list of suggested places is compiled by Commission staff per PFBC Law Enforcement Region and added to the PFBC web site. The list includes flowing water and lakes. Purpose: Mapping and promotion of the various water bodies in Pennsylvania that are known to have good fishing opportunities. Supplemental_Information: This layer was created by selecting the appropriate flowing waters and water bodies from existing PFBC GIS Layers, all of which were derived from the National Hydrography Dataset (NHD) layers. Points were created by calculating the geographic centers of the water bodies and the mid-points of the flowing waters.
Abstract: This layer contains the lakes that are part of the Pennsylvania Fish and Boat Commission Fisheries Resource Database. These include lakes that are currently or have previously been stocked, regulated or sampled. Purpose: Mapping and analysis of the various water bodies in Pennsylvania that are currently or have previously been stocked, regulated or sampled. Supplemental_Information: This layer was created by selecting the appropriate polygons from the National Hydrography Dataset (NHD) water bodies layer and copying into a new layer. Key attributes from the PFBC Fisheries Database records were appended to the lakes to complete the data set.
This data, provided by Openstreetmaps, shows various buildings in Great Britain, which includes England, Ireland, Scotland, and Wales. This data was uploaded as a polygon shape file and contains attributed information for the Building name if it is available.
Abstract: This layer contains the lakes that are part of the Pennsylvania Fish and Boat Commission Fisheries Resource Database. These include lakes that are currently or have previously been stocked, regulated or sampled. Purpose: Mapping and analysis of the various water bodies in Pennsylvania that are currently or have previously been stocked, regulated or sampled. Supplemental_Information: This layer was created by selecting the appropriate polygons from the National Hydrography Dataset (NHD) water bodies layer and copying into a new layer. Key attributes from the PFBC Fisheries Database records were appended to the lakes to complete the data set.
Abstract: Pennsylvania Fish and Boat Commission Law Enforcement Regions Purpose: Allows for mapping related to each Region Supplemental_Information: The data set was created using the PennDOT Counties GIS layer & TeleAtlas North America Roads GIS layers as Region boundaries follow these features. Polygons from the Counties layer were merged to create the Regions and then modified using the roads layers where appropriate. Roads were incorporated by using the Trace Sketch Tool in ArcMap.
Abstract: Water trails designated by the Pennsylvania Fish and Boat Commission in Pennsylvania. Visit http://sites.state.pa.us/PA_Exec/Fish_Boat/watertrails/trailindex.htm for more information. Purpose: Allows for mapping on a statewide or regional scale of water trail extents in Pennsylvania. Supplemental_Information: The data set was created by selecting the approprate segements from the 1:24000 National Hydrography Dataset (NHD) flowing waters layer corresponding to the water trail extents. The segements were merged together to form the water trail lines. Time_Period_of_Content:
This data was provided by Openstreetmaps and contains detailed information on the Natural Areas in Great Britain, which includes England, Scotland, and Wales. Natural areas include parks, forests, riverbanks, and water. Data was uploaded as a poly line shape file and contains attributes for the feature type and the feature name when available.
Abstract: Historical listing (1975-1995) of Pennsylvania fish species occurrences, as documented at 10,780 sampling points on streams and rivers throughout the state. Accessory information, such as type of sampling gear used and scientific names, are included. Threatened and endangered species, however, have been removed from the database for protection purposes. (If you require information concerning the distribution of Threatened and Endangered species in Pennsylvania, contact Andy Shiels at the PA Fish and Boat Commission.) Purpose: This database serves two purposes. First, it is the only comprehensive, digitally represented listing of fish species within Pennsylvania. Second, it documents the evolution of Pennsylvania's fish assemblages through the last 20 years..
This data was provided by Openstreetmaps and shows the locations of the Railway infrastructure in Great Britain, which includes England, Wales and Scotland. Railways include trams, subways, and standard trains. This railway data set was uploaded as a poly line shape file and includes attribute information for Feature name and feature type.
Abstract: The Pennsylvania Fish and Boat Commission is an independent administrative commission. It consists of ten competent citizens of the Commonwealth who are appointed by the Governor by and with the advice and consent of a majority of the Pennsylvania Senate. Commissioners serve for terms of eight years and continue in office until their successors are appointed. Two members of the Commission serve at large and are experienced in boating and water safety education and owners of Pennsylvania registered boats. The remaining eight members each represent a specific geographic district. They are persons well informed on the subjects of conservation, restoration, fish and fishing and boats and boating. Commissioners are appointed on a bipartisan basis. This GIS layer is a compilation of those 8 geogrpahic districts. Purpose: Allows for mapping related to each District Supplemental_Information: The data set was created using the PennDOT Counties GIS layer as District boundaries follow these features. Polygons from the Counties layer were merged to create the Districts using ArcMap.
Abstract: This layer contains the lakes that are part of the Pennsylvania Fish and Boat Commission Fisheries Resource Database. These include lakes that are currently or have previously been stocked, regulated or sampled. Purpose: Mapping and analysis of the various water bodies in Pennsylvania that are currently or have previously been stocked, regulated or sampled. Supplemental_Information: This layer was created by selecting the appropriate polygons from the National Hydrography Dataset (NHD) water bodies layer and copying into a new layer. Key attributes from the PFBC Fisheries Database records were appended to the lakes to complete the data set. This layer was created by selecting the appropriate polygons from the National Hydrography Dataset (NHD) water bodies layer and copying into a new layer. Key attributes from the PFBC Fisheries Database records were appended to the lakes to complete the data set.
Abstract: This layer contains the lakes that are part of the Pennsylvania Fish and Boat Commission Fisheries Resource Database. These include lakes that are currently or have previously been stocked, regulated or sampled. Purpose: Mapping and analysis of the various water bodies in Pennsylvania that are currently or have previously been stocked, regulated or sampled. Supplemental_Information: This layer was created by selecting the appropriate polygons from the National Hydrography Dataset (NHD) water bodies layer and copying into a new layer. Key attributes from the PFBC Fisheries Database records were appended to the lakes to complete the data set.
This data, provided by Openstreetmaps, shows various waterways in Great Britain, which includes Scotland, England, and Wales. Waterways include canals, rivers, streams, and other water bound transportation routes. Data was uploaded as a poly line shape file with attributes for Feature name, feature type, and feature width when available.
This data was provided by Openstreetmaps and shows detailed information about the roadways in Wales. Roadways contain attributed information about the road type (Primary, secondary, path, highway, etc...) and the road name when available. Data was uploaded as a poly line shape file. There is also an attribute called oneway which is a one way flag. If the value is 0, it is a two way road, if the value of the one way flag is 1, the road is a one way road.
Abstract: The Fish and Boat Commission works to improve habitat in a variety of ways, from assisting sportsmen groups and conservation on projects to improve fish habitat in local lakes and streams, coordinating the removal of dams and other blockages to natural fish movement and providing technical guidance on designing riparian buffers. This GIS layer represents the Areas the PFBC has divided Pennsylvania into in order to address habitat issues. At least one Habitat Manager is assigned to each Area. Purpose: Allows for mapping related to each Region Supplemental_Information: The data set was created from the National Hydrography Dataset (NHD) watersheds layers produced by the United States Geological Survey (USGS). Polygons from the layers were copied and merged, where appropriate, to create the Habitat Management Areas polygons.
Abstract: The Pennsylvania Fish and Boat Commission owns numerous properties across Pennsylvania. This GIS layer contains point locations on each property. Purpose: Production of maps depicting where the Pennsylvania Fish and Boat Commission owns property. Also will be used to track projects/activties on properties and the tracking/assessment of conditions. Supplemental_Information: This data set was created by collecting coordinate locations using uncorrected handheld GPS techniques. The coordinates were compiled in a spreadsheet and then a GIS layer was developed from the coordinates using ArcMap.
Abstract: Regional Pennsylvania Fish and Boat Commission Bureau of Law Enforcement office locations. Purpose: To be utilized with various maps to depict PFBC staff locations and for the public to know where they can obtain information from the Pennsylvania Fish and Boat Commission across Pennsylvania. Supplemental_Information: The data set was created by geocoding the office addresses and then verifying the locations with aerial photography. The photography used was PA Map imagery where available and National Agricultural Imagery Program 2004 Color Infrared imagery in other areas.
Abstract: The Fish & Boat Commission operates fifteen (15) state fish hatcheries. Northern hatcheries (north of I-80) primarily culture warm/coolwater fish, while southern hatcheries (south of I-80) primarily culture trout. This GIS layer contains the locations of these hatcheries. Purpose: To be utilized with various maps to depict PFBCoperated hatchery locations and for the public to know where they can obtain hatchery information from the Pennsylvania Fish and Boat Commission across Pennsylvania. Supplemental_Information: The data set was created by geocoding the hatchery addresses and then verifying the locations with aerial photography. The photography used was PA Map imagery where available and National Agricultural Imagery Program 2004 Color Infrared imagery in other areas.
Abstract: This layer contains flowing waters from the Pennsylvania Fish and Boat Commission Fisheries Resource Database that were stocked (trout and warmwater/coolwater) or under fishing special regulation in 2008. This layer is directly linked to tables of stocking events for trout, planned stockings for warmwater/coolwater species and special regulation lists. Purpose: Mapping and analysis of flowing waters that are stocked or under fishing special regulation in Pennsylvania. Promotion of fishing opportunities in Pennsylvania. Supplemental_Information: This data set was created by loading both River Mile values and latitude/longitude coordinates of section limits existing in the PFBC Fisheries database. The locational values were originally derived from a variety of sources including GPS, scaling from USGS maps and aerial photography. Tools in ArcMap were used to generate the stream sections from these values. Each section was checked against the descriptions contained for each upstream and downstream section limit and the sections were adjusted where necessary. The current 1:24000 National Hydrography Dataset (NHD) flowing waters layer was used as the base for drawing the sections and this data is coincident with NHD.
Abstract: Lakes within Pennsylvania that contain known warmwater/coolwater species fishing opportunities. The data set was created by Pennsylvania Fish and Boat Commission Fishery Biologists who identified popular sport fishing locations based upon fish population assessments and their knowledge of aquatic resources within the watersheds under their management responsibility. Purpose: Mapping and analysis of lakes that contain known warnwater/coolwater fishing opportunities in Pennsylvania. Promotion of fishing opportunities in Pennsylvania. Supplemental_Information: This layer was created by selecting the appropriate polygons from the National Hydrography Dataset (NHD) water bodies layer and copying into a new layer. Key attributes from the PFBC Fisheries Database records were appended to the lakes to complete the data set.
Abstract: Lakes within Pennsylvania that contain known warmwater/coolwater species fishing opportunities. The data set was created by Pennsylvania Fish and Boat Commission Fishery Biologists who identified popular sport fishing locations based upon fish population assessments and their knowledge of aquatic resources within the watersheds under their management responsibility. Purpose: Mapping and analysis of lakes that contain known warnwater/coolwater fishing opportunities in Pennsylvania. Promotion of fishing opportunities in Pennsylvania. Supplemental_Information: This layer was created by selecting the appropriate polygons from the National Hydrography Dataset (NHD) water bodies layer and copying into a new layer. Key attributes from the PFBC Fisheries Database records were appended to the lakes to complete the data set.
Abstract: Pennsylvania Fish and Boat Commission Waterways Conservation Officer Districts Purpose: Allows for mapping related to each District Supplemental_Information: The data set was created using the PennDOT municipalities GIS layers & TeleAtlas North America Roads GIS layers as District boundaries follow these features. Polygons from the municipalities layers were merged to create the Districts and then modified using the roads layers where appropriate. Roads were incorporated by using the Trace Sketch Tool in ArcMap.
Abstract: This layer contains flowing waters from the Pennsylvania Fish and Boat Commission Fisheries Resource Database that are under the Wilderness Trout Designation. Wilderness trout stream management is based upon the provision of a wild trout fishing experience in a remote, natural and unspoiled environment where man's disruptive activities are minimized. Established in 1969, this option was designed to protect and promote native (brook trout) fisheries, the ecological requirements necessary for natural reproduction of trout and wilderness aesthetics. The superior quality of these watersheds is considered an important part of the overall angling experience on wilderness trout streams. Therefore, all stream sections included in this program qualify for the Exceptional Value (EV) special protected water use classification, which represents the highest protection status provided by the Department of Environmental Protection (DEP). Purpose: Mapping and analysis of flowing waters that are under the Wilderness Trout Designation in Pennsylvania. Promotion of fishing opportunities in Pennsylvania. Supplemental_Information: This data set was created by loading both River Mile values and latitude/longitude coordinates of section limits existing in the PFBC Fisheries database. The locational values were originally derived from a variety of sources including GPS, scaling from USGS maps and aerial photography. Tools in ArcMap were used to generate the stream sections from these values. Each section was checked against the descriptions contained for each upstream and downstream section limit and the sections were adjusted where necessary. The current 1:24000 National Hydrography Dataset (NHD) flowing waters layer was used as the base for drawing the sections and this data is coincident with NHD.
Abstract: PA Game Commission districts
This dataset was created from the USDA Farmers Market database listing. The point data is usually the exact location of the market but may sometimes be the general area. Attributes include contact information, hours, and if the market takes food stamps.
Abstract: Boundaries for 29 PGC Land Management Groups Purpose: Defining individual Land Management Groups
Locations where spent nuclear fuel is stored in the United States
This dataset was created from the USDA Farmers Market database listing. The point data is usually the exact location of the market but may sometimes be the general area. Attributes include contact information, hours, and if the market takes food stamps.
This dataset was created from the USDA Farmers Market database listing. The point data is usually the exact location of the market but may sometimes be the general area. Attributes include contact information, hours, and if the market takes food stamps.
This dataset was created from the USDA Farmers Market database listing. The point data is usually the exact location of the market but may sometimes be the general area. Attributes include contact information, hours, and if the market takes food stamps.
This dataset was created from the USDA Farmers Market database listing. The point data is usually the exact location of the market but may sometimes be the general area. Attributes include contact information, hours, and if the market takes food stamps.
This dataset was created from the USDA Farmers Market database listing. The point data is usually the exact location of the market but may sometimes be the general area. Attributes include contact information, hours, and if the market takes food stamps.
This dataset displays the inmate populations for all the Federal Prisons throughout the United States on 8.7.08. This weekly Population Report can be found on the Bureau of Prisons website at bop.gov. These facilities are positioned by their lat/lon and this dataset is updated on a weekly basis.
Content Summary: This coverage contains point data representing the know dams in Iowa Content Purpose: This digital, geographically referenced data set was developed by the Iowa Department of Natural Resources to carry out agency responsibilities related to management, protection, and development of Iowa's natural resources.
This is an incomplete list of NAF current Partnerships and Conveners
The point shapefile shows the data from the air quality monitors across different district in the Beijing province on 7th August, 2008. For comparison see BBC's Beijing Pollution Watch website that show a photograph of Beijing skyline as of 7th August, 2008, along with the PM10 readings (BBC: 7 August PM10 reading: 191 micrograms per cubic metre.). The same website also has photos and data for other days. Source: http://news.bbc.co.uk/1/hi/in_pictures/7506925.stm
The point shapefile shows the data from the air quality monitors across different district in the Beijing province on 8th August, 2008. For comparison see BBC's Beijing Pollution Watch website that show a photograph of Beijing skyline as of 8th August, 2008, along with the PM10 readings (BBC: 8 August PM10 reading: 156 micrograms per cubic metre.). The same website also has photos and data for other days. Source: http://news.bbc.co.uk/1/hi/in_pictures/7506925.stm
This dataset explores retail trade by province for 2003 - 2007. Note: North American Industry Classification System (NAICS), 2002. Source: Statistics Canada, CANSIM, table (for fee) 080-0014 and Catalogue no. 63-005-X. Last modified: 2008-07-22.
Late 2007 real estate sales data
This dataset explores median total income by family type for all families and by province in Canada for 2002-2006. 1. Census families include couple families, with or without children, and lone-parent families. Source: Statistics Canada, CANSIM, table (for fee) 111-0009. Last modified: 2008-06-11.
Kalamos, is the 2nd largest rock of the Mediterranean sea and is part of the Greek island Anafi. The chapel of "Panagia Kalamiotisa" is built on top of Kalamos. This is the path you have to walk to get to the chapel and enjoy the great view of the Aegean sea -and the feeling of real freedom!
The point shapefile shows the data from the air quality monitors across different district in the Beijing province. The days covered are from 5th of August to 9th August, 2008. The air quality monitors measure levels of Nitrous Oxide, Sulphur DiOxide and Particulate Matter that is 10 micron or less in size. Much of the haze in Beijing is attributed to the high levles of particulate matter also referred to as PM10. Much of the airborne particulate matter is due to construction and landfill dust, vehicle exhaust, fires etc. Level of 50 or more microns per cubic meter is considered as harmful. Between 5th and 10th August, 2008, all stations have registered levels higher than 50 microns/cubic meter of air, the so called WHO standard for air quality.
The point shapefile shows the levels of NO2, SO2 and PM10 (particulate matter floating in the air, the main cause of haze/smog) in Beijing province, recorded at 27 air quality monitors on 11 Aug, 2008. This is the first time since 5th August, 2008 that most of the readings are well within the range of what WHO considers safe. BBC's Beijing Pollution Watch website maintains independent reading of PM 10 levels. (BBC: 11 August PM10 reading: 54 micrograms per cubic metre. We test for 10 minutes at midday from a seventh floor balcony in central Beijing.) Check for other days here: http://news.bbc.co.uk/1/hi/in_pictures/7506925.stm
This collection provides tabular USDA - Natural Resource Conservation Service (NRCS), National Resources Inventory (NRI) data (1982-1997), by County. Sources include, the U.S. Bureau Census Bureau, Census of Population and Housing, for total county area figures. The National Resources Inventory (NRI) is a statistically based sample of land use and natural resource conditions and trends on U.S. nonfederal lands. NRI data are collected at scientifically selected sample sites. The sample constitutes a two-stage stratified area sample of the entire country. Samples are located in all counties and parishes of the 50 states and in Puerto Rico, the Virgin Islands, the District of Columbia, and selected portions of the Pacific Basin. The first-stage sampling unit, or primary sampling unit (PSU), is an area/segment of land; the second-stage sampling units are points located within the PSUs. Detailed NRI data are collected for the specific sample points, but some items are also collected for the entire PSU/segment. Some data, such as total surface area, federally owned land, and area in large water bodies, are collected on a census basis external to the sample survey. The NRI database accounts for and represents the total area of the United States, but very little information is given for points on federal lands. Statistics derived from the NRI database are estimates and not absolutes. This means that there is some amount of uncertainty in any result obtained using NRI data. Please search for Vermont-GIS for more local level GIS datasets.
FacilitiesSchools_PTSCHOOL is designed to provide point locations of every Vermont School along with the established school ID (PSID) for geographic analysis of school statistical data. In 1997 Vermont's Regional Planning Commisions digitized the locations of the schools in their region using orthophotos, existing GIS data, and road maps. Maps of school locations were sent to each School Supervisory Union for verification of school location and name. The point covers created by the RPCs were appended to one cover by VCGI. In 2003 the data layer was revised by VCGI using an updated list of schools from the VT Department of Education. In 2004 VT Department of Education updated and validated the locations of the schools. Please search for Vermont-GIS for more local level GIS datasets.
This datalayer contains Vermont agricultural data describing changes in farming activity (1860-1997), by county, extracted from U.S. Census of Agriculture. Initial 1969-1992 data was originally collected by Rick Wackernagel, UVM Extension Service, Department of Community Development & Applied Economics (CDAE), then distributed by VCGI as the data product 'FARMDATA' in 1995. VCGI has since updated and added additional years and items to the dataset, and released it as the geospatial database FarmStats_CNTYFARM. Please search for Vermont-GIS for more local level GIS datasets. Funding for much of this data was provided by the 'Datashare' agreement between VCGI and The USDA-Natural Resources Consevation Service. Many thanks to Ray Godfrey, USDA-NRCS, for helping to make this datalayer available to the public. One may download Excel spreadsheets or comma-delimited ASCII text files of this data from the VGIS indicators webpage - http://www.vcgi.org/indicators/
This datalayer contains a variety of tabular Vermont Public Health data (1986-2000), obtained from the following sources: the Vermont Department of Health (Hospital Discharge Datasets, Vital Statistics Data System, et al.), the Vermont Department of Aging and Disabilities, the Vermont Nursing Alliance, the Association of State Medical Board Executive Directors, and the U.S. Census Bureau. Development of this database is a continual effort. Periodically, more data will be added. Additional Public Health data can be found in the HealthStats_CTYHEAL2 database. Funding for much of this data was provided by the UVM - Center for Rural Studies. One may download Excel spreadsheets or comma-delimited ASCII textfiles of this data from the VGIS indicators webpage - http://maps.vcgi.org/indicators/ Please search for Vermont-GIS for more local level GIS datasets. Please see metadata link for the attribute descriptions
This datalayer contains Vermont Population and Health data describing public health (1986-2000), by county, extracted from various sources, such as; the Vermont Department of Health, the Vermont Center for Justice Research, the National Institute on Alcohol Abuse & Alcoholism, et al. Development of this database is a continual effort. Periodically, more data will be added. Additional Public Health data can be found in the HealthStats_CTYHEAL1 database. Funding for much of this data was provided by the UVM - Center for Rural Studies. One may download Excel spreadsheets or comma-delimited ASCII textfiles of this data from the VGIS indicators webpage - http://www.vcgi.org/indicators/ Please search for Vermont-GIS for more local level GIS datasets.
This database contains town-level totals of documented species records for several plant and animal taxa including vascular plants, trees, bryophytes, ferns, fish, mammals, and reptiles & amphibians. Also contained are number of Black Bear kills by town for the years 1980-1996, and number of non-hunter Moose deaths by town for the years 1980-1997. A breeding bird atlas collected at finer resolution than town-level is included but was not summarized by town. Data were originally acquired from Vermont's Agency of Natural Resources (ANR), U.S. Forest Service, museum and herbarium collections, and other published or unpublished atlases. Please search for Vermont-GIS for more local level GIS datasets.
Data includes areas drawn by VT Fish & Wildlife Dept. (VFWD) biologists on USGS topographic maps. Sources for these areas were lines drawn on state highway maps, topographic maps, overlays to 1977 infared photos, written material and, verbal information from VFWD biologists. Some of the sources maps date back to the early 1970's. Areas were mapped and field checked over a period of two decades. The most accurate information available has been compiled and mapped for entry into a GIS. Quad 35 source map was at RF 62500 scale. All others are RF 24000 & 25000 scale. Copies of source maps are stored in the VFWD Barre Office, Ron Regan is project coordinator. Data has been completed statewide in 1993; yearly updates began in 1994. Purpose: Deer wintering areas in Vermont Please search for Vermont-GIS for more local level GIS datasets.
This dataset has population figures for Ireland by County for the Years 2002 and 2006. These population figures include total population 2002 and 2006, male population 2006, and female population 2006. Also the difference between the two years total figures are available as well as the percentage change. The data comes from Central Statistics Ireland. for more info go to: cso.ie. An important note is that data for Dublin county also includes data for the smaller counties of Fingal, South Dublin, and Dun Laoghaire-Rathdown.
This dataset is the result of an effort to map biological "hotspots" in Vermont based on the "element occurrences" in the Nongame and Natural Heritage Program database. The NNHP database, compiled and maintained by the VT Department of Fish and Wildlife, records over 4000 locations of rare, threatened, and endangered plants, animals, and exemplary natural communities throughout the state. 2332 of the highest quality and rarest of these point locations were mapped, and polygons were drawn economically around concentrations of mapped points. An attempt was made to include point locations characteristic of a given landscape or region (an escarpment and talus slopes, for example, or a region of hills and rich fens) within individual polygons. 544 of the 2332 occurrences were not included within drawn polygons-- these more dispersed occurrences are candidates for finer-scaled conservation measures. Please search for Vermont-GIS for more local level GIS datasets.
This dataset has population figures for Ireland by City for the Years 2002 and 2006. The major cities that are analyzed are Dublin, Cork, Limerick, Galway, and Waterford. These population figures include total population 2002 and 2006, male population 2006, and female population 2006. Also the difference between the two years total figures are available as well as the percentage change. The data comes from Central Statistics Ireland. for more info go to: cso.ie.
This dataset provides the locations of the stores to close in Australia as of July 29th 2008. Store number, name and address are included
Exemplary aquatic sites in Vermont, both standing water and running water, are represented in this dataset. It is the result of an analysis by the Aquatic Classification Workgroup, a group of cooperating biologists from the VT Agency of Natural Resources, The Nature Conservancy, Middlebury College, and the University of Vermont. Features in the coverage are sites judged to be "best reference" (least impacted) examples of classes of aquatic communities. Classification categories for lakes and ponds were defined by ordinating sites on the basis of the composition of macrophyte communities. Connections between these classes and underlying habitat parameters were explored with correspondence analysis, enabling analysts to attach physico-chemical descriptors (e.g., pH, acid neutralizing capacity, elevation, substrate, trophic level) to the biologically-defined classes. Classes for streams and river were defined in the same way, but data on fish and macroinvertebrate assemblages (instead of macrophytes) drove the analysis. Please search for Vermont-GIS for more local level GIS datasets.
Vermont County Economic Data 1840 to 2000 To provide Vermont County Economic Data 1840 to 2000 Please search for Vermont-GIS for more local level GIS datasets. Please see the metadata link for attribute descriptions
Town level property valuation and taxation data for Vermont. Initial funding for much of this data was provided by the Vermont Forum on Indicators Online (VFOS). UVM Center for Rural Studies has collected and added additional items to enhance the initial dataset. Purpose: Vermont Indicators Online Database - Property Valuation & Taxation Data Please search for Vermont-GIS for more local level GIS datasets.
This is an experiment using comps for a property I am interested in purchasing.
This dataset explores the number of persons with asthma by province in Canada over several years. E : use with caution. F : too unreliable to be published. .. : not available for a specific period of time. Note: Population aged 12 and older who report that they have been diagnosed by a health professional as having asthma. 1. Canada, excluding the territories. Source: Statistics Canada, CANSIM, tables 104-0001, 105-0001, 105-0201 and 105-0401, and Catalogue no. 82-221-X. Last modified: 2007-08-13.
This dataset explores the number of females with asthma by province in Canada over several years. E : use with caution. F : too unreliable to be published. .. : not available for a specific period of time. Note: Population aged 12 and older who report that they have been diagnosed by a health professional as having asthma. 1. Canada, excluding the territories. Source: Statistics Canada, CANSIM, tables 104-0001, 105-0001, 105-0201 and 105-0401, and Catalogue no. 82-221-X. Last modified: 2007-08-13.
This dataset explores the number of males with asthma by province in Canada over several years. E : use with caution. F : too unreliable to be published. .. : not available for a specific period of time. Note: Population aged 12 and older who report that they have been diagnosed by a health professional as having asthma. 1. Canada, excluding the territories. Source: Statistics Canada, CANSIM, tables 104-0001, 105-0001, 105-0201 and 105-0401, and Catalogue no. 82-221-X. Last modified: 2007-08-13.
Extracted from EmergencyE911_ESITE. WARNING! When using E911 data it is imperative that you understand the inter-relationships between the various E911 data sets to avoid erroneous interpretations of the data. The best way to avoid this is to thoroughly read the metadata for each data set you are working with. Please see the Use_Constraints section below for more information on data issues identified by VCGI, Inc. in the quality control/quality assurance effort conducted for the E911 board. Purpose: E911 Emergency Service Agency Locations Please search for Vermont-GIS for more local level GIS datasets.
This dataset explores the number of persons in Canada with diabetes by province over several years. E : use with caution. F : too unreliable to be published. .. : not available for a specific period of time. Note: Population aged 12 and over who report that they have been diagnosed by a health professional as having diabetes. 1. Canada, excluding the territories. Source: Statistics Canada, CANSIM, tables 104-0011, 105-0011, 105-0211 and 105-0411 and Catalogue no. 82-221-X. Last modified: 2007-08-13.
WARNING! When using E911 data it is imperative that you understand the inter-relationships between the various E911 data sets to avoid erroneous interpretations of the data. The best way to avoid this is to thoroughly read the metadata for each data set you are working with. Please see the Use_Constraints section below for more information on data issues identified by VCGI, Inc. in the quality control/quality assurance effort conducted for the E911 board. This coverage was generated by dissolving boundaries in the E911\RDESZ coverage with the common ZIP code values. Purpose: Emergency Service Zone data layer Please search for Vermont-GIS for more local level GIS datasets.
This dataset has county population figures for Ireland by age for 2006. These population figures are divided into five year age ranges from 0 to 85 and older. This dataset includes both males and females. Two other datasets were made to show statistics for females and males. It is important to note that the County of Dublin includes Fingal, South Dublin, and Dun Laoghaire-Rathdown county stats.
This dataset has county male population figures for Ireland by age for 2006. These population figures are divided into five year age ranges from 0 to 85 and older. Two other datasets were made to show statistics for females and both sexes. It is important to note that the County of Dublin includes Fingal, South Dublin, and Dun Laoghaire-Rathdown county stats.
The point shapefile shows the data as of 12th August, 2008, for the Air Quality Monitoring stations spread across Beijing province. Since the rains over the weekend the PM10 readings have plummeted to lower 50s level from highs of upper 90s. For comparison see BBC's Beijing Pollution Watch website that show a photograph of Beijing skyline as of 12th August, 2008, along with the PM10 readings (BBC: 12 August PM10 reading: 41 micrograms per cubic metre.). The same website also has photos and data for other days. http://news.bbc.co.uk/2/hi/in_pictures/7506925.stm
The point shapefile shows the data as of 9th August, 2008, for the Air Quality Monitoring stations spread across Beijing province. For comparison see BBC's Beijing Pollution Watch website that show a photograph of Beijing skyline as of 09 th August, 2008, along with the PM10 readings (BBC: 9 August PM10 reading: 110 micrograms per cubic metre.). The same website also has photos and data for other days. Source for BBC: http://news.bbc.co.uk/1/hi/in_pictures/7506925.stm
The point shapefile shows the data as of 12th August, 2008, for the Air Quality Monitoring stations spread across Beijing province. Since the rains over the weekend the PM10 readings have plummeted to lower 50s level from highs of upper 90s. For comparison see BBC's Beijing Pollution Watch website that show a photograph of Beijing skyline as of 12th August, 2008, along with the PM10 readings (BBC: 10 August PM10 reading: 278 micrograms per cubic metre. The World Health Organisation guideline maximum is 50 micrograms per cubic metre, averaged over 24 hours.). The same website also has photos and data for other days. Source:http://news.bbc.co.uk/1/hi/in_pictures/7506925.stm
This dataset has county female population figures for Ireland by age for 2006. These population figures are divided into five year age ranges from 0 to 85 and older. Two other datasets were made to show statistics for males and both sexes. It is important to note that the County of Dublin includes Fingal, South Dublin, and Dun Laoghaire-Rathdown county stats.
This dataset has population figures for Ireland by City and by age for the year 2006. The major cities that are analyzed are Dublin, Cork, Limerick, Galway, and Waterford. These population figures are divided into five year age ranges from 0 to 85 and older. Two other datasets were made to show statistics for males and females. The data comes from Central Statistics Ireland. for more info go to: cso.ie.
This dataset has female population figures for Ireland by City and by age for the year 2006. The major cities that are analyzed are Dublin, Cork, Limerick, Galway, and Waterford. These population figures are divided into five year age ranges from 0 to 85 and older. Two other datasets were made to show statistics for males and bot sexes. The data comes from Central Statistics Ireland. for more info go to: cso.ie.
This dataset has Male population figures for Ireland by City and by age for the year 2006. The major cities that are analyzed are Dublin, Cork, Limerick, Galway, and Waterford. These population figures are divided into five year age ranges from 0 to 85 and older. Two other datasets were made to show statistics for males and bot sexes. The data comes from Central Statistics Ireland. for more info go to: cso.ie.
This datasets displays the locations of all recorded earthquakes of a magnitude of 1 or greater around the world from the period of 8.5.08 to 8.12.08. The findings are from the US Geological Survey (USGS). Earthquake information is extracted from a merged catalog of earthquakes located by the USGS and contributing networks. Earthquakes will be broadcast within a few minutes for California events and within 30-minutes for world-wide events.
This coverage represents year MODIS fire detections for the 7 day period specified for the geographic area covering the conterminous United States, Alaska, Hawaii, Canada and northern Mexico. The detections are obtained using both TERRA MODIS and AQUA MODIS data are collected and processed as a cooperative effort between the USDA Forest Service Remote Sensing Application Center, NASA-Goddard Space Flight Center and the University of Maryland. These fire detection data are collected for the USDA Forest Service MODIS Active Fire Mapping Program (http://activefiremaps.fs.fed.us). These data are intended to provide a synoptic view of active fires for the past and present over the specified time period. These data are collected at a spatial resolution of 1 kilometer and therefore are only intended for geographic display and analysis at the national and regional levels. No responsibility is assumed by the USDA Forest Service in the use of these data.
This dataset has statistics on PC ownership and internet access in Private Households by County in Ireland. The data includes county stats on number of private households, number of households that own a PC, PC ownership Percentage, number of households that don't own a PC, number of unknown PC information, number of households with broadband or other type of internet access with percentages, and households without internet access. It is important to note that the County of Dublin includes Fingal, South Dublin, and Dun Laoghaire-Rathdown county stats.
This dataset has statistics on PC ownership and internet access in Private Households by City in Ireland. The data includes city stats on number of private households, number of households that own a PC, PC ownership Percentage, number of households that don't own a PC, number of unknown PC information, number of households with broadband or other type of internet access with percentages, and households without internet access.
This dataset has statistics on the economic status of those aged 15 and older in the County. The data includes: Total Population in the County 15 and older, that population at work, looking for their first regular job, unemployed, student, looking after the family, retired, unable to work due to sickness, other, and various percentages of these figures among the total county population It is important to note that the County of Dublin includes Fingal, South Dublin, and Dun Laoghaire-Rathdown county stats.
This dataset displays the estimated population (Male) by region of usual residence in Greece. This dataset spans from 1991 - 2007, and includes the population change from 2006 to 2007 and the five year population change from 2002 to 2007. Annual mid-year inter-censal estimates of the de facto population are given by sex and age group. The inter-censal population estimates are based on the population figures from the decennial Census of Population updated annually at the national and local (NUTS III, a geographic breakdown of territory defined for all EU countries) level from the births, deaths occurring meanwhile as recorded in the vital statistics movements from municipalities registers and estimated migration. The last census carried out on March 18, 2001. The definition used for measuring population is the de facto measure. Residents absent from the country at the time of the census are excluded while visitors present at the time of the census are included. The estimates are provided in a single Release entitled Estimated Population. Seventeen years retrospection is given for the population classified by sex and fiveyear groups at national level and by sex at NUTS II &III level (for the 1st January data by sex and five-year groups at NUTS II & III level). The Immigrants from the census population and from administrative source (for every year) are classified by sex and age groups, country of origin and citizenship. The data for immigrants from the administrative source are sub-estimated, although from the year 2003, more completed data from other administrative sources is planned to be used. The data for Emigrants are not available.
This dataset displays the estimated population (Female) by region of usual residence in Greece. This dataset spans from 1991 - 2007, and includes the population change from 2006 to 2007 and the five year population change from 2002 to 2007. Annual mid-year inter-censal estimates of the de facto population are given by sex and age group. The inter-censal population estimates are based on the population figures from the decennial Census of Population updated annually at the national and local (NUTS III, a geographic breakdown of territory defined for all EU countries) level from the births, deaths occurring meanwhile as recorded in the vital statistics movements from municipalities registers and estimated migration. The last census carried out on March 18, 2001. The definition used for measuring population is the de facto measure. Residents absent from the country at the time of the census are excluded while visitors present at the time of the census are included. The estimates are provided in a single Release entitled Estimated Population. Seventeen years retrospection is given for the population classified by sex and fiveyear groups at national level and by sex at NUTS II &III level (for the 1st January data by sex and five-year groups at NUTS II & III level). The Immigrants from the census population and from administrative source (for every year) are classified by sex and age groups, country of origin and citizenship. The data for immigrants from the administrative source are sub-estimated, although from the year 2003, more completed data from other administrative sources is planned to be used. The data for Emigrants are not available.
This data, provided by Openstreetmaps, shows various buildings in the country of Greece. This data was uploaded as a polygon shape file and contains attributed information for the Building name if it is available.
This data was provided by Openstreetmaps and contains detailed information on the Natural Areas in Greece. Natural areas include parks, forests, riverbanks, and water. Data was uploaded as a poly line shape file and contains attributes for the feature type and the feature name when available.
This data was provided by Openstreetmaps and shows the locations of the various points of interest in the country of Greece. Points of interest include pubs, places of worship, parking, fuel, schools, hospitals, fast food, restaurants, monuments and other such points. This data set was uploaded as a poly point shape file and includes attribute information for Feature name and feature type.
This data was provided by Openstreetmaps and shows the locations of the Railway infrastructure in the country of Greece. Railways include trams, subways, and standard trains. This railway data set was uploaded as a poly line shape file and includes attribute information for Feature name and feature type.
This data was provided by Openstreetmaps and shows detailed information about the roadways in Greece. Roadways contain attributed information about the road type (Primary, secondary, path, highway, etc...) and the road name when available. Data was uploaded as a poly line shape file. There is also an attribute called oneway which is a one way flag. If the value is 0, it is a two way road, if the value of the one way flag is 1, the road is a one way road.
This data, provided by Openstreetmaps, shows various waterways in the Baden-wuerttemberg administrative area in the country of Greece. Waterways include canals, rivers, streams, and other water bound transportation routes. Data was uploaded as a poly line shape file with attributes for Feature name, feature type, and feature width when available.
This data, provided by Openstreetmaps, shows various buildings in the country of Hungary. This data was uploaded as a polygon shape file and contains attributed information for the Building name if it is available.
This data was provided by Openstreetmaps and contains detailed information on the Natural Areas in the country of Hungary. Natural areas include parks, forests, riverbanks, and water. Data was uploaded as a poly line shape file and contains attributes for the feature type and the feature name when available.
This dataset displays the estimated population (Total) by region of usual residence in Greece. This dataset spans from 1991 - 2007, and includes the population change from 2006 to 2007 and the five year population change from 2002 to 2007. Annual mid-year inter-censal estimates of the de facto population are given by sex and age group. The inter-censal population estimates are based on the population figures from the decennial Census of Population updated annually at the national and local (NUTS III, a geographic breakdown of territory defined for all EU countries) level from the births, deaths occurring meanwhile as recorded in the vital statistics movements from municipalities registers and estimated migration. The last census carried out on March 18, 2001. The definition used for measuring population is the de facto measure. Residents absent from the country at the time of the census are excluded while visitors present at the time of the census are included. The estimates are provided in a single Release entitled Estimated Population. Seventeen years retrospection is given for the population classified by sex and fiveyear groups at national level and by sex at NUTS II &III level (for the 1st January data by sex and five-year groups at NUTS II & III level). The Immigrants from the census population and from administrative source (for every year) are classified by sex and age groups, country of origin and citizenship. The data for immigrants from the administrative source are sub-estimated, although from the year 2003, more completed data from other administrative sources is planned to be used. The data for Emigrants are not available.
This dataset shows the number of facebook users who specified a specific geographic network during the summer of 2007. data was found available on the social networking site, Facebook.
This dataset is compiled from the Mexican Population and Household Census from 2005 (Conteo de Poblacion y Vivienda 2005). The data is at municipal level (of almost 2,000 municipalities) and is comprised of number of households and occupants according to ownership of various household goods including TV, washer, refrigerator, and computer. Where there were inconsistencies in municipality boundaries between the Mexican data and the available shapefile, the data have been combined in the appropriate fashion. The polygons that contain data from more than one municipality are labeled with all municipality names. Values of -1 represent no available data.
This dataset is compiled from the Mexican Population and Household Census from 2005 (Conteo de Poblacion y Vivienda 2005). The data is at municipal level (of almost 2,000 municipalities) and is comprised of number of households and occupants according to the type of material of the floors in the household, including dirt floors. Where there were inconsistencies in municipality boundaries between the Mexican data and the available shapefile, the data have been combined in the appropriate fashion. The polygons that contain data from more than one municipality are labeled with all municipality names. Values of -1 represent no available data.
The point shapefile shows the data as of 13th August, 2008, for the Air Quality Monitoring stations spread across Beijing province. Since the rains over the weekend the PM10 readings plummeted to lower 50s level from highs of upper 90s. However, slowly they may be building back to higher levels. For comparison see BBC's Beijing Pollution Watch website that show a photograph of Beijing skyline as of 13th August, 2008, along with the PM10 readings (BBC:13 August PM10 reading: 128 micrograms per cubic metre. Another hazy day over Beijing.). The same website also has photos and data for other http://news.bbc.co.uk/2/hi/in_pictures/7506925.stm
This dataset shows the prevalence of facebook during the summer of 2007. data was pulled form facebook's website which showed the number of users in various geographic areas.
The point shapefile shows locations of spermbanks in the lower 48 states. The data was scraped from the FDA's Center for Biologics Evaluation and Research (CBER) website: https://www.accessdata.fda.gov/scripts/cber/CFAppsPub/tiss/index.cfm The data for different products can be downloaded by specifying one of the products: Bones, Cartilage, Cornea, Perpiheral blood vessel stem-cells, semen, Umbilical cord blood cells etc. The sperm bank location data was obtained by keying in product "Semen" and selecting all states/country = US from the CBER's website. The scraped data was geocoded to the zipcode centroids. The top zipcode areas are from Los Angeles, Southern California (Orange and San Diego), New York, Chicago, Fairfax and Harris (TX). The idea for data collection came from an article in the WaPo: "Mad Cow Rules Hit Sperm Banks' Patrons" URL: http://www.washingtonpost.com/wp-dyn/content/article/2008/08/12/AR2008081203131.html?hpid=moreheadlines
City of Louisville Buildings
This dataset shows the Roadways of the country of Georgia. extract from source below: Vector data are stored as ESRI shapefiles Grid (raster) data are stored as DIVA gridfiles Each "shapefile" consist of at least three actual files. This is a commonly used format that can be directly used in Arc-anything, DIVA-GIS, and many other programs. It can be imported to most other GIS programs. Shapefiles contain a single class of "vector" data such as points, lines, or polygons. Gridfiles are used in DIVA-GIS. From DIVA-GIS they can be exported to a number of other grid formats including IDRISI and Arc or to shapefiles. (More info on format; for developers). A gridfile with "country mask" indicates that the areas outside the selected country are masked out. For these areas, the value is "NODATA" (indicating the absence of data for those cells). For the other gridfiles, NODATA is only used for areas covered with water, except for the land cover grids, on which water is a separate class. A DBF (dBase file) is a dbase format database table.
Geo data for open houses. Updated daily at http://www.openhomez.com
KML output generated by the Epigrass simulator.
Arizona Fishing Locations Map by the Arizona Game and Fish Department http://www.azgfd.gov/h_f/FishingLocationsMap.shtml
Map layer of cities in Vietnam
contacts
The point shapefile shows the data as of 14th August, 2008, for the Air Quality Monitoring stations spread across Beijing province. For comparison see BBC's Beijing Pollution Watch website that show a photograph of Beijing skyline as of 14th August, 2008, along with the PM10 readings (BBC:14 August PM10 reading: 46 micrograms per cubic metre. We test for 10 minutes at midday from a seventh floor balcony in central Beijing.). The same website also has photos and data for other http://news.bbc.co.uk/2/hi/in_pictures/7506925.stm
Ben Hill Griffin Stadium, aka the Swamp, University of Florida.
This dataset provides information on the participating restaurants for the Washington, DC Summer Restaurant Week from August 11-17, 2008. Points were geocoded using batchgeocode.com Attributes include address, name and phone number of the restaurant.
Extracted from EmergencyE911_ESITE. WARNING! When using E911 data it is imperative that you understand the inter-relationships between the various E911 data sets to avoid erroneous interpretations of the data. The best way to avoid this is to thoroughly read the metadata for each data set you are working with. Please see the Use_Constraints section below for more information on data issues identified by VCGI, Inc. in the quality control/quality assurance effort conducted for the E911 board. Purpose: E911 Emergency Service Agency Locations Please search for Vermont-GIS for more local level GIS datasets.
The EmergencyOther_DAMS layer is a statewide representation of dams, based on the Vermont Dam Inventory (VDI) and managed by the Water Quality Division, that coincide with features in the Vermont Hydrography Dataset (VHD). The VDI is a Microsoft Access database maintained by the Hydrology section containing a number of tables related to dam features in Vermont. NOTE** THIS DATA IS NOT A DIGITAL REPRESENTATION OF ALL DAMS IN VERMONT. Rather, it is a derivative data set of the VDI for those dams that either had: 1) valid, initial positions; 2) positions derived onscreen using support documentation and the most recent digital orthophotos available; or 3) by GPS field efforts. This data includes most, but not all, dams inventoried in the VDI and the related federal National Inventory of Dams. Purpose: To replace inaccurate maps and incomplete digital data layers. To aid in basin planning, dam inventory and cataloging purposes. The database record for a dam in the National Inventory consists of data from a participating agency submitted in accordance with the update methodology, the name of the agency providing the data, and the names of other government agencies with involvement in the dam. Please search for Vermont-GIS for more local level GIS datasets.
Abstract: Location of facilities where hazardous wastes are generated. Original data was collected between 1996 and 1999. Facility coordinates were captured at the front door of each facility using a Trimble GeoExplorer Global Positioning System (GPS). Differential correction and averaging was performed on each GPS measurement using Trimble's GEO-PC (1996-1998) or Pathfinder Office (1999) software. The coordinate location of each site was determined on a differentially corrected average of at least 10 GPS points. Since 1999, data has been digitized against aerial photography basemaps and coordinates provided by consultants. Purpose: Location of facilities where hazardous wastes are generated Please search for Vermont-GIS for more local level GIS datasets.
Latitude/longitude coordinates scaled from USGS maps are maintained in a database of managed areas by the Nongame and Natural Heritage Program. These coordinates were converted to State Plane meters. Purpose: Federal, state, local, private and other managed areas Please search for Vermont-GIS for more local level GIS datasets.
This dataset has statistics on the economic status of males aged 15 and older in the County. The data includes: Total Male Population in the County 15 and older, that population at work, looking for their first regular job, unemployed, student, looking after the family, retired, unable to work due to sickness, other, and various percentages of these figures among the total county population It is important to note that the County of Dublin includes Fingal, South Dublin, and Dun Laoghaire-Rathdown county stats.
Modern architecture in New Orleans. Sources include the New Orleans Public Library's index to building plans online, the Southeastern Architectural Archive's online finding aids and Samuel Wilson's Guide to the Architecture of New Orleans
This dataset has statistics on the economic status of males aged 15 and older in the City. The data includes: Total Male Population in the City 15 and older, that population at work, looking for their first regular job, unemployed, student, looking after the family, retired, unable to work due to sickness, other, and various percentages of these figures among the total City population
Abstract: The EnvironPollution_ENVPTS2001 data layer is based on the U.S. EPA's Envirofacts point shapefile. The data was provided to VCGI by the Vermont Agency of Natural Resources (ANR). The Envirofacts (EF) point shapefile layer in the National Shapefile Repository provides locations of EPA-regulated facilities from the Envirofacts Oracle table LRT_EF_COVERAGE_SRC, which is located within the Locational Reference Tables (LRT) contained in the Envirofacts Oracle Database. The spatial extent for this point shapefile is the conterminous U.S., Alaska, Hawaii, Puerto Rico, and the U.S. Virgin Islands. Facility data from various EPA program system tables are loaded into the LRT_EF_COVERAGE_SRC table. Only coordinate pairs with the highest accuracy values will represent each facility. The Envirofacts point shapefile contains data from the following EPA program systems: AFS - Aerometric Information Retrieval System (AIRS) Facility Subsystem PCS - Permit Compliance System TRIS - Toxic Release Inventory System CERCLIS - Comprehensive Environmental Response, Compensation, and Liability Information System RCRIS - Resource Conservation and Recovery Information System BRS - Biennial Reporting System Note: You can download additional facility information from http://www.epa.gov/enviro. Purpose: The ENVPTS2001 layer provides Geographic Information System (GIS) applications with a valuable data layer for facilities regulated by EPA in the State of Vermont. Please search for Vermont-GIS for more local level GIS datasets.
This dataset has statistics on the economic status of Females aged 15 and older in the City. The data includes: Total Female Population in the City 15 and older, that population at work, looking for their first regular job, unemployed, student, looking after the family, retired, unable to work due to sickness, other, and various percentages of these figures among the total City population.
This dataset has statistics on the economic status of Females aged 15 and older in the County. The data includes: Total Female Population in the County 15 and older, that population at work, looking for their first regular job, unemployed, student, looking after the family, retired, unable to work due to sickness, other, and various percentages of these figures among the total County population It is important to note that the County of Dublin includes Fingal, South Dublin, and Dun Laoghaire-Rathdown County stats.
The actual process used to locate sites is unknown. Sites were presumably located on USGS topographic maps available at the time of the inventory (late 1970s). These may all have been 15 minute maps at a scale of RF 62,500 scale, although some 7.5 minute maps of RF 24,000 scale may have been used. The The latitude/longitude of each site was presumably scaled from the topographic maps. These coordinates were then converted to State Plane Meters. The latitude/longitude of each site was apparently entered manually from the published Pollution Source Inventory document, into ASCII data files. These ASCII files were in an unusual format, with field names and values provided in a free-format, and with fields not given for null field values in any given record. FORTRAN programs were written to read selected fields off tape for conversion to Arc/Info. Field names and values had many typographical errors, complicating the conversion process. Please search for Vermont-GIS for more local level GIS datasets.
Proportion of workforce that is science and technology based jobs, along with a proportion of employees with advanced degrees in the workforce
Please search for Vermont-GIS for more local level GIS datasets. Please search for Vermont-GIS for more local level GIS datasets.
This dataset has statistics on the economic status of Persons aged 15 and older in the City. The data includes: Total Population in the City 15 and older, that population at work, looking for their first regular job, unemployed, student, looking after the family, retired, unable to work due to sickness, other, and various percentages of these figures among the total City population.
Federal investment in R and D as share of GDP and per individual in the states
This dataset displays the inmate populations for all the Federal Prisons throughout the United States on 8.14.08. This weekly Population Report can be found on the Bureau of Prisons website at bop.gov. These facilities are positioned by their lat/lon and this dataset is updated on a weekly basis.
Research and Development outputs measured in each state measured based on different metrics like number of patents, articles published, investment in R & D by the private industry
This dataset is a five category, nine sub-category classification of the bedrock units appearing on the Centennial Geologic Map of Vermont. The Centennial Map, published in 1961 (RF 1/250,000) by the Vermont Geological Survey, maps 136 unique lithological types across the state. The current dataset simplifies the 1961 map by defining five broad classes and nine subclasses of rocks of varying geochemistry and mineralogy. The classification was developed by a small team of geologists and ecologists in the autumn of 1998. Purpose: The bedrock classes in this dataset were developed as part of a project to analyze landscape diversity across Vermont. This in turn was part of an effort to map patterns of biodiversity statewide. The classes were defined to reflect ecologically significant differences in the depositional environment, texture, mineralogy, and geochemistry of lithological units. These are seen to be important factors in the distribution of biotic communites. Please search for Vermont-GIS for more local level GIS datasets.
GeologicOther_AGGRES is a statewide polygon coverage of sand, gravel, and stone resources. This database includes the best data available from the VT Agency of Natural Resources and VTrans quadrangle maps where sand and gravel locations are noted. Sources are maps from "Geology for Environmental Planning" booklets prepared by Charles G. Doll in the 1970's, the data were derived from USGS sources. VCGI expects that this data will be updated and added to by other sources, but it is the most complete/accurate data available to us at this time. Purpose: Aggregate sand, gravel and stone resources Please search for Vermont-GIS for more local level GIS datasets.
The TourismRecreation_RECSITES data layer contains a wide range of recreational sites in Vermont. This point data layer includes parks, ski areas, boat access points, and many other recreational features. Purpose: Provide information on the location of Vermont Outdoor Recreation Sites Please search for Vermont-GIS for more local level GIS datasets. Please see the metadata link for a full description of the attributes.
Data on share of science and technology businesses in the economy, measured in terms of job creation, business establishments and venture capital investment
Data was hand drawn on USGS Topographic quads by foresters of the Vermont Department of Forests, Parks, & Recreation using orthophotos, survey data, and personal knowledge of the area as references. Purpose: To have a digital reference source of state trails. Please search for Vermont-GIS for more local level GIS datasets.
This dataset has marriage statistics by county throughout all of Ireland. The data includes: bot raw numbers and percetages of single persons, married persons, first marriage married persons, following widowhood married persons, following dissolution of previous marriage married persons, separated (incl. deserted) persons, divorced persons, and widowed persons. For the data on married persons, all the percentage data is the percent out of total marriages in the county and not out of the total population of the county. It is important to note that the County of Dublin also includes Fingal, South Dublin, and Dun Laoghaire-Rathdown City stats.
This dataset has statistics on central heating in Private Households by County in Ireland. The data includes number of households, households with central heating, % of homes with central heating, number of homes without central heating, % of homes without central heating, and unstated records. Private Dwelling = A private dwelling is the room or set of rooms occupied by a private household in a permanent housing unit. There is thus a one to one correspondence between such private households and private dwellings and the numbers of these entities are the same in all instances. It is important to note that the County of Dublin includes Fingal, South Dublin, and Dun Laoghaire-Rathdown county stats.
This dataset has population figures for Ireland by Selected Towns for the Years 2002 and 2006. The towns have been placed by their lat/lon through geocoding processes. These population figures include total population 2002 and 2006, male population 2006, and female population 2006. Also the difference between the two years total figures are available as well as the percentage change. The data comes from Central Statistics Ireland. for more info go to: cso.ie.
The point shapefile shows the data as of 15th August, 2008, for the Air Quality Monitoring stations spread across Beijing province. Since the rains over the last weekend the PM10 readings plummeted to lower 50s level from highs of upper 90s. There was a spike on 14th August, however, they are back to below 50 for nearly all monitoring stations.
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The poly shapefile shows estimates of total number of millionaires (in thousands) and the total net worth ($ millions) by state for the year 2004. The data tables were released by IRS in August, 2008. According to IRS, a millionaire is defined as somebody whose networth is at least $1.5 million or more. There were nearly 2.2 million millionaires with the combined networth of over $11 trillion. Also shown is average networth of a millionaire in each state. The top five states in terms of Average Networth are: 1. Wyoming (avg networth of $21.34 billion) 2. Arkansas (avg networh of $8.61 billion each) 3. Mississippi (avg networth of $7.72 billion) 4. Utahs (avg networth of $6.58 billion) 5. Nebraska (avg networth of $6.41 billion) The most number of millionaires live in California (428 thousand) followed by Florida (199 thousand), New York (168 thousand), Texas (108 thousand) and Illionois (101 thousand).
The point shapefile shows the data as of 16th August, 2008, for the Air Quality Monitoring stations spread across Beijing province. Since the rains over the last weekend the PM10 readings plummeted to lower 40s and mostly in 30s level from highs of upper 90s.
The point shapefile shows the data as of 17th August, 2008, for the Air Quality Monitoring stations spread across Beijing province. Since the rains over the last weekend the PM10 readings plummeted to lower 40s and mostly in 30s level from highs of upper 90s.
The point shapefile shows the data as of 18th August, 2008, for the Air Quality Monitoring stations spread across Beijing province. Since the rains over the last weekend the PM10 readings plummeted to lower 40s and mostly in 30s level from highs of upper 90s. For comparison see BBC's Beijing Pollution Watch website that show a photograph of Beijing skyline as of 18th August, 2008, along with the PM10 readings (BBC: 18 micrograms per cubic metre. Blue skies over Beijing after a hazy Sunday.) The same website also has photos and data for other days. http://news.bbc.co.uk/2/hi/in_pictures/7506925.stm
This coverage represents year MODIS fire detections for the 7 day period specified for the geographic area covering the conterminous United States, Alaska, Hawaii, Canada and northern Mexico. The detections are obtained using both TERRA MODIS and AQUA MODIS data are collected and processed as a cooperative effort between the USDA Forest Service Remote Sensing Application Center, NASA-Goddard Space Flight Center and the University of Maryland. These fire detection data are collected for the USDA Forest Service MODIS Active Fire Mapping Program (http://activefiremaps.fs.fed.us). These data are intended to provide a synoptic view of active fires for the past and present over the specified time period. These data are collected at a spatial resolution of 1 kilometer and therefore are only intended for geographic display and analysis at the national and regional levels. No responsibility is assumed by the USDA Forest Service in the use of these data.
This datasets displays the locations of all recorded earthquakes of a magnitude of 1 or greater around the world from the period of 8.11.08 to 8.18.08. The findings are from the US Geological Survey (USGS). Earthquake information is extracted from a merged catalog of earthquakes located by the USGS and contributing networks. Earthquakes will be broadcast within a few minutes for California events and within 30-minutes for world-wide events.
Abstract: BoundaryOther_VTRANSDIST illustrates highway district boundaries. Purpose: BoundaryOther_VTRANSDIST was developed to illustrate VTrans' highway district boundaries. Please search for Vermont-GIS for more local level GIS datasets.
Abstract: BoundaryRegion_VTRANSCNSTR was developed to illustrate VTrans' four construction management regions. Northeast, Northwest, Southeast and Southwest. Purpose: This data depicts the four construction management regions of VTrans. They are divided by Northeast, Northwest, Southeast and Southwest. Please search for Vermont-GIS for more local level GIS datasets.
Abstract: Vermont county level transportation data. Please search for Vermont-GIS for more local level GIS datasets. Please see the metadata link for a full description of the attribute table.
Abstract: The TransOther_ATR layer includes points depicting Automatic Traffice Recorder locations and associated traffic count information maintained by VTrans. The data includes traffic counts between 1975 and 2003. The points in this layer were generated using a variety of methods including GPS, mile marker references (dynamic segmentation against LRS2004), and on-screen digitizing with the TransRoad_RDS data layer in the background. Purpose: To provide Automatic Traffic Recorder Locations and traffic counts maintained by VTrans. Please search for Vermont-GIS for more local level GIS datasets.
Abstract: The TransOther_ATRFUA05PROP layer includes proposed Automatic Traffice Recorder locations on along FUA routes for the 2005 data collection season. Purpose: To provide the location of proposed Automatic Traffic Recorder Locations along FUA routes for the 2005 data collection season. Time_Period_of_Content: Please search for Vermont-GIS for more local level GIS datasets.
Abstract: The TransOther_CTC layer includes points depicting Continues Traffic Counter (CTC) locations and associated traffic count information managed by VTrans. The data includes traffic counts between 1975 and 2003. The points in this layer were generated using a variety of methods including GPS, milemarker references (dynamic segmentation against LRS2004), and on-screen digitizing with the TransRoad_RDS data layer in the background. Purpose: To provide Continues Traffic Counter (CTC) locations and traffic counts. Please search for Vermont-GIS for more local level GIS datasets.
Abstract: TransOther_PARKRIDE depicts park and ride locations in Vermont as per VTrans. Purpose: To display park and ride locations in Vermont as per VTrans. Please search for Vermont-GIS for more local level GIS datasets.
Abstract: TransOther_RESTAREAS was developed to illustrate VT's rest areas on Interstate highways. Purpose: This data layer can be use to depict Vermont's rest areas on Interstate highways. Please search for Vermont-GIS for more local level GIS datasets.
The National Highway Planning Network is a comprehensive network database of the nation's major highway system. It consists of the nation's highways comprised of Rural Arterials, Urban Principal Arterials and all National Highway System routes. The data set covers the 48 contiguous States plus the District of Columbia, Alaska, Hawaii, and Puerto Rico. The nominal scale of the data set is 1:100,000 with a maximal positional error of 80 meters. this data set shows only Southern California, including LA and San Diego.
This data layer was created for cartographic purposes only. The line work was taken from a combination of the following data layers - BoundaryOther_BNDHASH, WaterHydro_LKCH100, TransRoad_RDS, MCDBLCKGRP. In addition some screen digitizing was done with the aid of existing VTrans maps. Purpose: Urban areas of Vermont as defined by VTrans Please search for Vermont-GIS for more local level GIS datasets.
Abstract: The TransRail_RRXING layer includes point which represent railroad crossings in Vermont. The layer was derived from the VT Agency of Transportation's Railroad Crossings database. Locational information was orginally derived from Latitude/Longitude coordinates or dynamic segmentation against LRS2000, however, all points have been moved to their correct locations using VT's 5K ortho imagery (except for points with LOCMETH = 9). Purpose: To depict the location of railroad crossings in Vermont. Please search for Vermont-GIS for more local level GIS datasets.
This dataset has selected town's population figures for Ireland by age for 2006. These population figures are divided into five year age ranges from 0 to 65 and older. The age ranges are: 0 to 14, 15-24, 25 to 44, 45 to 64, and 65 and older. Percentage figures are also given for each age range out of the total population.
Abstract: TransRoad_LIMITACCESS was developed to delineate limited access highways in Vermont. These include interstates and other divided highways. Purpose: Use to demonstrate limited access highways in Vermont. Please search for Vermont-GIS for more local level GIS datasets.
Abstract: The TransRoad_MILEPOST2002 layer includes points denoting mileposts (every 10th of a mile) along VT highways and Interstates. It includes mileposts for Town-based (TWN) routes only. It does not include End-to-End (ETE) route mileages. Please search for Vermont-GIS for more local level GIS datasets.
Abstract: This datalayer, TransRoad_PAVCON06, depicts year 2006 pavement condition information for Vermont's interstate and state highways. Purpose: To Provide 2006 pavement condition information for Vermont's interstate and state highways. Please search for Vermont-GIS for more local level GIS datasets.
Abstract: TransRoad_RDSBASE2000 defines roadway base materials on VT highways. Derived from VTran's Route Log System - 2000. Purpose: This layer provides information on roadway base materials on VT highways. Please search for Vermont-GIS for more local level GIS datasets.
Abstract: TransRoad_SPEEDZNS2000 was developed to delineate designated speed zones along VT highways for 2000. Purpose: Use to demonstrate designated speed zones along Vermont highways (2000). Please search for Vermont-GIS for more local level GIS datasets.
Abstract: This data layer includes Average Annual Daily Traffic (AADT) data collected by the Vermont Agency of Transporation for the years 1986 to 2002. The data was "ported" to GIS format via a GIS Linear Reference data layer called TransRoad_LRS2004 (refer to metadata). Purpose: Average Annual Daily Traffic 1986 to 2002 - state highways Please search for Vermont-GIS for more local level GIS datasets. Please see the metadata linke for a full description of the attributes.
Ben Franklin sub
VTT around Brecey (Manche - FRANCE)
The point shapefile shows the data as of 19th August, 2008, for the Air Quality Monitoring stations spread across Beijing province. The PM10 readings are little higher than they were on 18th Aug 2008, the day Beijing had blue skies. For comparison see BBC's Beijing Pollution Watch website that show a photograph of Beijing skyline as of 19th August, 2008, along with the PM10 readings (BBC: 19 August PM10 reading: 39 micrograms per cubic metre.) The same website also has photos and data for other days. http://news.bbc.co.uk/2/hi/in_pictures/7506925.stm
Each arc of this coverage corresponds to a high accident location (HAL), based on a VTrans database with the location of each HAL given by milemarkers along named routes (the database was provided by the VTrans in June 1994). The arcs were generated by linking the HALs milemarkers to the RDS\RDSRT route system (which was extracted from the TransRoad_RDS road centerline data). Several HALs not occuring on state-system highways were manually located. Purpose: High Accident Locations, 1986-1990 Please search for Vermont-GIS for more local level GIS datasets.
Each arc of this coverage corresponds to a high accident location (HAL), based on a VTrans database with the location of each HAL given by milemarkers along named routes (the database was provided by the VTrans in June 1994). The arcs were generated by linking the HALs milemarkers to the RDS\RDSRT route system (which was extracted from the TransRoad_RDS road centerline data). Several HALs not occuring on state-system highways were manually located. Purpose: High Accident Locations, 1986-1990 Please search for Vermont-GIS for more local level GIS datasets.
Abstract: Each arc of this coverage corresponds to a high accident location (HAL), based on a VTrans database with the location of each HAL given by milemarkers along named routes. The arcs were generated by linking the HALS milemarkers to the RDSLRS route system (which was extracted from the TransRoad_RDS road centerline data). Purpose: High Accident Locations 1990 - 1994 Please search for Vermont-GIS for more local level GIS datasets.
The Highway Performance Monitoring System (HPMS) is a spreadsheet maintained by the VT Agency of Transportation (VTrans). The spreadsheet contains references to milemarkers for each section of state-aid highway. TransStats_HPMS95 represents the data submitted to FHWA (Federal Highway Administration) in 1995. Purpose: Highway Performance Monitoring System data for 1995 Please search for Vermont-GIS for more local level GIS datasets. Please see the metadata link for a full description of the attributes.
Abstract: The VT DSL Broadband System dataset (DSL2006) includes polygons depicting the extent of Vermont's DSL broadband system as of 12/31/2006. This data layer is an updated version of DSL2003. Purpose: To represent the extent of Vermont's DSL Broadband System as of 12/31/2006. Please search for Vermont-GIS for more local level GIS datasets.
Numbers shown include population within the recognized metro area of the city, and they include people living in the immediate surrounding area outside of the established border of the city.
Abstract: The VT Cable Modem dataset (CABLEMOD2005) includes lines depicting the extent of Vermont's cable modem broadband system as of 12/31/2005. This data layer was generated by extracting a subset of features from UtilityTelecom_CABLE2005. The following subset was used: CABLECO = Adelphia, Charter, Duncan Cable, Jeffersonville, North Country Cable, Smuggler's Notch, Southern Vermont Cable, Stowe Cablevision, or Transvideo. These represent cable companies which also provide broadband "cable modem" service within their territory. Purpose: To represent the extent of Vermont's Cable Modem Broadband System as of 12/31/2005. Please search for Vermont-GIS for more local level GIS datasets.
Please search for Vermont-GIS for more local level GIS datasets.
This dataset is compiled from the Mexican Population and Household Census from 2005 (Conteo de Poblacion y Vivienda 2005). The data is at municipal level of current residence of population (of almost 2,000 municipalities) and is comprised of the population age 5 and older by place of residence in 2000 and gender. The possible place of residence includes all 31 states of Mexico (including the Federal District), the USA and other country besides the USA. Where there were inconsistencies in municipality boundaries between the Mexican data and the available shapefile, the data have been combined in the appropriate fashion. The polygons that contain data from more than one municipality are labeled with all municipality names. Values of -1 represent no available data.
Abstract: The ELTRN layer depicts electric transmission line corridors in Vermont. Various methods have been used to digitize features. The data layer should be used with caution. It has not been consistenly maintained since its initial release in 1992, and already had some data quality issues when it was released in 1992. Please make note that the UtilityTransmit_VELCOTRANS layer has more accurate and up-to-date information for high voltage transmission lines in Vermont (those maintained by VELCO). Purpose: Depict Electric Transmission Line Corridors in Vermont. Please search for Vermont-GIS for more local level GIS datasets.
This dataset is compiled from the Mexican Population and Household Census from 2005 (Conteo de Poblacion y Vivienda 2005). The data is at municipal level (of almost 2,000 municipalities) and is comprised of the number of people, age 5 and older who speak an indigenous language, speak no indigenous language and speak both spanish and an indigenous language. Where there were inconsistencies in municipality boundaries between the Mexican data and the available shapefile, the data have been combined in the appropriate fashion. The polygons that contain data from more than one municipality are labeled with all municipality names. Values of -1 represent no available data.
The ELTRN layer depicts electric transmission line corridors in Vermont. Various methods have been used to digitize features. The data layer should be used with caution. It has not been consistenly maintained since its initial release in 1992, and already had some data quality issues when it was released in 1992. Please make note that the UtilityTransmit_VELCOTRANS layer has more accurate and up-to-date information for high voltage transmission lines in Vermont (those maintained by VELCO). Purpose: Depict Electric Transmission Line Corridors in Vermont. Please search for Vermont-GIS for more local level GIS datasets.
Abstract: This data depicts the high voltage transmission system in the state of Vermont. High Voltage is defined as being 115 KV and above. Additional information on the VELCO transmission system can be acquired by contacting Jarrod Harper at the contact information listed below. Purpose: This data set was developed to improve the accuracy of VELCO's plan and profile drawings. Please search for Vermont-GIS for more local level GIS datasets.
This dataset is compiled from the Mexican Population and Household Census from 2005 (Conteo de Poblacion y Vivienda 2005). The data is at municipal level (of almost 2,000 municipalities) and is comprised of the number homes by their type (including individual and communal) and by whether homes are occupied. Where there were inconsistencies in municipality boundaries between the Mexican data and the available shapefile, the data have been combined in the appropriate fashion. The polygons that contain data from more than one municipality are labeled with all municipality names. Values of -1 represent no available data.
This data set shows the locations of the natural gas storage facilities in the United States of America as of February 2003. Locations of the facilities were found by hand after using various sources such as the Natural Gas Institute as references.
This dataset provides information on known and undiscovered natural gas (including NGL) within the USGS-defined Total Petroleum System units.
This dataset provides information on known and undiscovered oilwithin the USGS-defined Total Petroleum System units. -9999 are missing values.
This dataset provides information on monthly U.S. imports of Crude Oil and products in 1,000's of barrels. It comes from the Energy Information Administration, Form EIA-814, "Monthly Imports Report".
Over the months of January through June of 2008, Valero was the largest importer of oil and petroleum products from Russia (via U.S. ports). This dataset contains information on total imports (in 1,000's of barrels) for Valero through U.S. Ports. The information was extracted from the Energy Information Administration (EIA) Form EIA-814, "Monthly Imports Report." - company filings. Data was aggregated and joined to the BTS NTAD maritime port shapefile.
The point shapefile shows the data as of 20th August, 2008, for the Air Quality Monitoring stations spread across Beijing province. The PM10 readings are little higher than they were on 19th Aug 2008, and much higher than on 18th , one of those rare days in Beijing when with clear blue skies. For comparison see BBC's Beijing Pollution Watch website that show a photograph of Beijing skyline as of 20th August, 2008, along with the PM10 readings (BBC: 20 August PM10 reading: 87 micrograms per cubic metre. [The World Health Organisation guideline maximum is 50 micrograms per cubic metre, averaged over 24 hours.] The same website also has photos and data for other days. http://news.bbc.co.uk/2/hi/in_pictures/7506925.stm
Files in the table below are for the Pacific OCS Region only. Platform/Rig Information and Data includes information on a complex with specific information on the structure and/or abandonment of a complex, production equipment and gas, oil, water and condensate status. This dataset provides information on the complex as to availability of a heliport and whether the complex is in the production status and manned or not. List of all Platform Locations Sorted by District and Area
This dataset displays population figures by Province, race, and gender. Figures are obtained from the 2001 census. In October 2001, South Africans were counted for the second time as citizens of a democracy. Over 83 000 enumerators and over 17 000 supervisors and fieldwork co-ordinators were employed to collect information on persons and households throughout the country, using a uniform methodology. Census night, or the night of the count, was 9-10 October 2001. Census (population census) The total process of collecting, processing, analysing and publishing or otherwise disseminating demographic, economic and social data pertaining to all persons in a country or in a well-defined part of a country at a specified time. Please search for: south-africa-census for similar datasets.
This dataset provides statistics on NFL football players for selected offense positions -- quarterback, running back, tight end and wide receiver. Player performance is measured using total fantasy football points for the regular season (www.fftoday.com) and the hometowns of each player geocoded using latitude and longitude coordinates.
The point shapefile shows the data as of 21st August, 2008, for the Air Quality Monitoring stations spread across Beijing province. The PM10 levels are unsafe in nearly all places except two. See the note on WHO guidelines below. For comparison see BBC's Beijing Pollution Watch website that show a photograph of Beijing skyline as of 21st August, 2008, along with the PM10 readings (BBC: 21 August PM10 reading: 56 micrograms per cubic metre. [The World Health Organisation guideline maximum is 50 micrograms per cubic metre, averaged over 24 hours.] The same website also has photos and data for other days. http://news.bbc.co.uk/2/hi/in_pictures/7506925.stm
This dataset displays population figures by Province and single year age. Figures are obtained from the 2001 census. In October 2001, South Africans were counted for the second time as citizens of a democracy. Over 83 000 enumerators and over 17 000 supervisors and fieldwork co-ordinators were employed to collect information on persons and households throughout the country, using a uniform methodology. Census night, or the night of the count, was 9-10 October 2001. Census (population census) The total process of collecting, processing, analysing and publishing or otherwise disseminating demographic, economic and social data pertaining to all persons in a country or in a well-defined part of a country at a specified time. Please search for: south-africa-census for similar datasets.
This dataset displays population figures by Province and country of citizenship. Figures are obtained from the 2001 census. In October 2001, South Africans were counted for the second time as citizens of a democracy. Over 83 000 enumerators and over 17 000 supervisors and fieldwork co-ordinators were employed to collect information on persons and households throughout the country, using a uniform methodology. Census night, or the night of the count, was 9-10 October 2001. Census (population census) The total process of collecting, processing, analysing and publishing or otherwise disseminating demographic, economic and social data pertaining to all persons in a country or in a well-defined part of a country at a specified time. Please search for: south-africa-census for similar datasets.
This data was provided by the Central office of Statistics Ireland, and shows the results from the 2006 Ireland Census. This data set shows the populations for people 18 years old or younger for various cities around Ireland with populations over 1,000 people. Data is also divided by Gender but includes a total age.
This dataset displays population figures by Province and country of birth. Figures are obtained from the 2001 census. In October 2001, South Africans were counted for the second time as citizens of a democracy. Over 83 000 enumerators and over 17 000 supervisors and fieldwork co-ordinators were employed to collect information on persons and households throughout the country, using a uniform methodology. Census night, or the night of the count, was 9-10 October 2001. Census (population census) The total process of collecting, processing, analysing and publishing or otherwise disseminating demographic, economic and social data pertaining to all persons in a country or in a well-defined part of a country at a specified time. Please search for: south-africa-census for similar datasets.
This data was made available from the Central Statistics Office of Ireland and shows detailed data about the number of households with cars available. attributes include households with no cars, one car, two cars, or three + cars for cities labeled as Small Area Population Statistics (SAPS).
Abstract: Pennsylvania Hospitals that are licensed or approved by the PA Dept. of Health and Public Welfare or part of the Facilities Resource Emergency Database (FRED). Licensed or approved hospitals are those identified from the July 1, 2005 to June 30, 2006 reporting period. Purpose: This layer was developed for use by emergency service organizations and the general public. Supplemental_Information: The PA Dept. of Health's Bureau of Health Statistics and Research collects hospital data in the annual survey of hospitals. This shapefile was created using much of this information along with some data from FRED. The hospital addresses were geocoded. These geocoded locations were checked against PA aerial photo web services from the Pennsylvania Spatial Data Access (PASDA) website. Where appropriate, the geocoded locations (points) were rectified. Some locations could not be rectified.
Abstract: This point layer shows the positions of hospitals within the borders of Pennsylvania that are licensed by the Pennsylvania Department of Health. Purpose: The dataset was developed by the Pennsylvania Department of Health to plot points representing licensed hospitals in Pennsylvania. Time_Period_of_Content:
The point shapefile shows locations of the critical care hospitals in the lower 48 states compiled from Health Resource and Service Administration (HRSA) of Dept. of HHS, dataset. There are over 8000 records that have name, address, telephone numbers (where listed) and also number of certified and toal hospital beds available at these hospitals.
Abstract:
This dataset shows the locations of all hospitals in operation in Washington State in 2008. These include military, chemical dependency, acute care and psychiatric hospitals.
Purpose:
To provide point locations for general cartographic uses. This dataset is used for DOH's CAH, CHARS and Bioterrorism programs.
Supplemental_Information:
This dataset was created using the DOH's standard geocoding process. This guideline is available at
This dataset displays data from the 2005 Census of Japan. It displays data on Institutional Households and Household Members throughout prefectures in Japan. This dataset specifically deals with Inpatients of Hospitals. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau.
Abstract: An ambulatory surgery center (ASC) is a health care facility that specializes in providing surgery, pain management and certain diagnostic (e.g., colonoscopy) services in an outpatient setting. Overall, the services provided can be generally called procedures. In simple terms, ASC-qualified procedures can be considered procedures that are more intensive than those done in the average doctor's office but not so intensive as to require a hospital stay. An ambulatory surgery center and a specialty hospital often provide similar facilities and support similar types of procedures. The specialty hospital may provide the same procedures or slightly more complex ones and the specialty hospital will often allow an overnight stay. Ambulatory surgery centers do not provide emergency services. Purpose: This dataset was made as part of a project to map Washington's Health System.
Abstract: Locations of retail pharmacies, hospital pharmacies, pharmaceutical wholesalers and pharmaceutical manufacturers. Purpose: This dataset was made as part of a project to map Washington's Health System.
Abstract: PA Community Mental Health Centers from the PA Dept of Health's quality assurance database. Current as of 12/6/2006. Purpose: This layer was developed for use in emergency situations and for the general public. Supplemental_Information: The community mental health center addresses were geocoded. Geocoding of addresses creates points of estimated locations. These locations were not verified. The user should assume that there is some spatial error.
Abstract: Pennsylvania home health agencies from the Department of Health's quality assurance database. Current as of 10/26/2007. Purpose: This layer was developed for use in emergency situations and for the general public. Supplemental_Information: The home health agency addresses were geocoded. Geocoding of addresses creates points of estimated locations. These locations were not verified. The user should assume that there is some spacial error.
Abstract: PA Drug and Alcohol Treatment Centers from the PA Dept of Health's quality assurance database. Current as of 10/25/2007. Purpose: This layer was developed for use in emergency situations and for the general public. Supplemental_Information: The drug and alcohol treatment center addresses were geocoded. Geocoding of addresses creates points of estimated locations. These locations were not verified. The user should assume that there is some spatial error.
This dataset explores Health and social service institutions revenue and expenditures by province in Canada for 2008. Data is in thousands of dollars (Canadian Dollars $CAD). .. : not available for a specific period of time. Note : Fiscal year ending March 31. Source: Statistics Canada, CANSIM, table (for fee) 385-0008. Last modified: 2008-06-25.
This dataset displays population figures by Province and disability. Figures are obtained from the 2001 census. In October 2001, South Africans were counted for the second time as citizens of a democracy. Over 83 000 enumerators and over 17 000 supervisors and fieldwork co-ordinators were employed to collect information on persons and households throughout the country, using a uniform methodology. Census night, or the night of the count, was 9-10 October 2001. Census (population census) The total process of collecting, processing, analysing and publishing or otherwise disseminating demographic, economic and social data pertaining to all persons in a country or in a well-defined part of a country at a specified time. Please search for: south-africa-census for similar datasets.
The poly shapefile of the lower 48 states shows the number of occupational deaths by state and by type of incidents for the year 2007. The data was released by the U.S Census in August, 2008.
This dataset displays population figures by Province for the economically active population. Figures are obtained from the 2001 census. In October 2001, South Africans were counted for the second time as citizens of a democracy. Over 83 000 enumerators and over 17 000 supervisors and fieldwork co-ordinators were employed to collect information on persons and households throughout the country, using a uniform methodology. Census night, or the night of the count, was 9-10 October 2001. Census (population census) The total process of collecting, processing, analysing and publishing or otherwise disseminating demographic, economic and social data pertaining to all persons in a country or in a well-defined part of a country at a specified time. Please search for: south-africa-census for similar datasets.
This dataset displays population figures by Province economic sector amongst the employed aged 15 to 65 years. Figures are obtained from the 2001 census. In October 2001, South Africans were counted for the second time as citizens of a democracy. Over 83 000 enumerators and over 17 000 supervisors and fieldwork co-ordinators were employed to collect information on persons and households throughout the country, using a uniform methodology. Census night, or the night of the count, was 9-10 October 2001. Census (population census) The total process of collecting, processing, analysing and publishing or otherwise disseminating demographic, economic and social data pertaining to all persons in a country or in a well-defined part of a country at a specified time. Please search for: south-africa-census for similar datasets.
This dataset displays population figures by Province, highest level of education. Figures are obtained from the 2001 census. In October 2001, South Africans were counted for the second time as citizens of a democracy. Over 83 000 enumerators and over 17 000 supervisors and fieldwork co-ordinators were employed to collect information on persons and households throughout the country, using a uniform methodology. Census night, or the night of the count, was 9-10 October 2001. Census (population census) The total process of collecting, processing, analysing and publishing or otherwise disseminating demographic, economic and social data pertaining to all persons in a country or in a well-defined part of a country at a specified time. Please search for: south-africa-census for similar datasets.
This dataset displays population figures by Province, highest level of education grouped. Figures are obtained from the 2001 census. In October 2001, South Africans were counted for the second time as citizens of a democracy. Over 83 000 enumerators and over 17 000 supervisors and fieldwork co-ordinators were employed to collect information on persons and households throughout the country, using a uniform methodology. Census night, or the night of the count, was 9-10 October 2001. Census (population census) The total process of collecting, processing, analysing and publishing or otherwise disseminating demographic, economic and social data pertaining to all persons in a country or in a well-defined part of a country at a specified time. Please search for: south-africa-census for similar datasets.
This dataset displays population figures by Province for individual monthly income for all persons. Figures are obtained from the 2001 census. All money received from salary, wages or own business; plus money benefits from employer, such as contributions to medical aid and pension funds; plus all money from other sources, such as additional work activities, remittances from family members living elsewhere, state pension or grant, other pensions or grants, income from investments, etc. The census question asks for the total before tax. In October 2001, South Africans were counted for the second time as citizens of a democracy. Over 83 000 enumerators and over 17 000 supervisors and fieldwork co-ordinators were employed to collect information on persons and households throughout the country, using a uniform methodology. Census night, or the night of the count, was 9-10 October 2001. Census (population census) The total process of collecting, processing, analysing and publishing or otherwise disseminating demographic, economic and social data pertaining to all persons in a country or in a well-defined part of a country at a specified time. Please search for: south-africa-census for similar datasets.
This dataset displays population figures by Province, race, and gender. Figures are obtained from the 2001 census. All money received from salary, wages or own business; plus money benefits from employer, such as contributions to medical aid and pension funds; plus all money from other sources, such as additional work activities, remittances from family members living elsewhere, state pension or grant, other pensions or grants, income from investments, etc. The census question asks for the total before tax. In October 2001, South Africans were counted for the second time as citizens of a democracy. Over 83 000 enumerators and over 17 000 supervisors and fieldwork co-ordinators were employed to collect information on persons and households throughout the country, using a uniform methodology. Census night, or the night of the count, was 9-10 October 2001. Census (population census) The total process of collecting, processing, analysing and publishing or otherwise disseminating demographic, economic and social data pertaining to all persons in a country or in a well-defined part of a country at a specified time. Please search for: south-africa-census for similar datasets.
This dataset displays population figures by Province, language. Figures are obtained from the 2001 census. The language most often used by the individual at home, whether or not they consider it their mother tongue. Methodology: Small children who cannot yet speak are considered to have the same language as the parent or primary caregiver. The alternatives are pre-coded and there is a space for indicating languages other than the official languages of South Africa. If household members use more than one language at home, each person has to indicate the language he/she uses most in the household when communicating with parents, siblings and other persons. The language used at the workplace or at school is not taken into account. In October 2001, South Africans were counted for the second time as citizens of a democracy. Over 83 000 enumerators and over 17 000 supervisors and fieldwork co-ordinators were employed to collect information on persons and households throughout the country, using a uniform methodology. Census night, or the night of the count, was 9-10 October 2001. Census (population census) The total process of collecting, processing, analysing and publishing or otherwise disseminating demographic, economic and social data pertaining to all persons in a country or in a well-defined part of a country at a specified time. Please search for: south-africa-census for similar datasets.
Contained in this dataset are the locations of the world's oil chokepoints - i.e., narrow maritime channels that are widely used to transport oil and petroleum products. 2006 estimates of oil flow (in bbl/d), oil source origins and primary destinations for each chokepoint are also indicated.
This data was extracted from the EIA-814, "Monthly Imports Report." It summarizes crude oil and petroleum product imports(in 1,000's of barrels)from Russia by U.S. port
This data provides information on annual natural gas production in billions of cubic meters by country (1997-2007). The percent change in production over the last five years was also calculated. Data comes from the British Petroleum Statistical Review.
This data provides information on annual proved natural gas reserves (in trillions of cubic meters) by country (1997-2007). The percent change from 2003 to 2007 was also calculated. Data was extracted from the British Petroleum Statistical Review.
This data provides information on oil production (in thousands of barrels daily) by country for the years 1997 through 2007. The percent change between 2003 and 2007 was also calculated. Data was extracted from the British Petroleum Statistical Review. -9999 are missing values
This data provides information on proved oil reserves (in thousands of millions of barrels) by country for the years 1997 to 2007. The percent change between 2003 and 2007 was also calculated. Data was extracted from the British Petroleum Statistical Review.
This is a dataset about Coho Salmon habitats.
This is a shapefile of Pennsylvania counties.
Watersheds!
The point shapefile shows the data as of 23rd August, 2008, for the Air Quality Monitoring stations spread across Beijing province. The PM10 levels are well below the safe levels recommended by WHO. For comparison see BBC's Beijing Pollution Watch website that show a photograph of Beijing skyline as of 23rd August, 2008, along with the PM10 readings (BBC: 23 August PM10 reading: 12 micrograms per cubic metre.) The same website also has photos and data for other days. http://news.bbc.co.uk/2/hi/in_pictures/7506925.stm
across Beijing province. Compared to PM10 levels on 23rd, the ones on 24th are much higher for majority of air monitoring stations. The PM10 levels are well below the safe levels recommended by WHO. For comparison see BBC's Beijing Pollution Watch website that show a photograph of Beijing skyline as of 24th August, 2008, along with the PM10 readings (BBC: 24 August PM10 reading: 99 micrograms per cubic metre. (The World Health Organisation guideline maximum is 50 micrograms per cubic metre, averaged over 24 hours.)) The same website also has photos and data for other days. http://news.bbc.co.uk/2/hi/in_pictures/7506925.stm
The poly shapefile compares number of millionaires and their net wealth by state with number of homeless by state. The millionaries data published by IRS in 2008 is based on estate tax returns for 2004 (IRS stats:http://www.irs.gov/taxstats/article/0,,id=185880,00.html) while the number of homeless is based on a survey by National Alliance to End Homelessness report released in Jan, 2007. (http://www.endhomelessness.org/content/article/detail/1440) An estimated 744 thousand experienced homelessness in Jan, 2005. Also shown are the ratio of number of homeless to number of millionaires. IRS considers anybody worth $1.5 million or more as wealth. IRS also has data for 2001 and 1998, however its not easy to compare the numbers since the definition for a millionaires is different from 2004. In terms of pure numbers, in fact, 2004 has less number of millionaires than in 2001.
The point shapefile shows the data as of 25th August, 2008, for the Air Quality Monitoring stations spread across Beijing province. Compared to PM10 levels on 24th, the ones on 25th are much higher for all of the air quality monitoring stations. For comparison see BBC's Beijing Pollution Watch website that show a photograph of Beijing skyline as of 24th August, 2008, along with the PM10 readings (BBC: 25 August PM10 reading: 70 micrograms per cubic metre. We test for 10 minutes at midday from a seventh floor balcony in central Beijing) The same website also has photos and data for other days. http://news.bbc.co.uk/2/hi/in_pictures/7506925.stm
The poly shapefile shows data for the individual donations to Obama campaign during the month of July, 2008. The data released on 20th August, 2008, was downloaded from FEC (Federal Election Commission) website, consisted of more than 160,000 records , which were then geocoded and aggregated to the county level. Donors from more than 2,200 counties out of 3,311 counties in the lower 48 states contributed more than $20 mill to Obma's campaign. Much of the money raised shows bicoastal distribution, and yet there are significant number donors in the upper- and lower mid-west. The top five counties in terms of donations: 1. New York, NY 2. Los Angeles, CA 3. Cook, IL 4. Washington DC 5. King, WA
This dataset displays the inmate populations for all the Federal Prisons throughout the United States on 8.21.08. This weekly Population Report can be found on the Bureau of Prisons website at bop.gov. These facilities are positioned by their lat/lon and this dataset is updated on a weekly basis.
This dataset displays population figures by Province and Marital status. Figures are obtained from the 2001 census. In October 2001, South Africans were counted for the second time as citizens of a democracy. Over 83 000 enumerators and over 17 000 supervisors and fieldwork co-ordinators were employed to collect information on persons and households throughout the country, using a uniform methodology. Census night, or the night of the count, was 9-10 October 2001. Census (population census) The total process of collecting, processing, analysing and publishing or otherwise disseminating demographic, economic and social data pertaining to all persons in a country or in a well-defined part of a country at a specified time. Please search for: south-africa-census for similar datasets.
This dataset displays population figures by Province method of transportation to work/school. Figures are obtained from the 2001 census. In October 2001, South Africans were counted for the second time as citizens of a democracy. Over 83 000 enumerators and over 17 000 supervisors and fieldwork co-ordinators were employed to collect information on persons and households throughout the country, using a uniform methodology. Census night, or the night of the count, was 9-10 October 2001. Census (population census) The total process of collecting, processing, analysing and publishing or otherwise disseminating demographic, economic and social data pertaining to all persons in a country or in a well-defined part of a country at a specified time. Please search for: south-africa-census for similar datasets.
This coverage represents year MODIS fire detections for the 7 day period specified for the geographic area covering the conterminous United States, Alaska, Hawaii, Canada and northern Mexico. The detections are obtained using both TERRA MODIS and AQUA MODIS data are collected and processed as a cooperative effort between the USDA Forest Service Remote Sensing Application Center, NASA-Goddard Space Flight Center and the University of Maryland. These fire detection data are collected for the USDA Forest Service MODIS Active Fire Mapping Program (http://activefiremaps.fs.fed.us). These data are intended to provide a synoptic view of active fires for the past and present over the specified time period. These data are collected at a spatial resolution of 1 kilometer and therefore are only intended for geographic display and analysis at the national and regional levels. No responsibility is assumed by the USDA Forest Service in the use of these data.
This datasets displays the locations of all recorded earthquakes of a magnitude of 1 or greater around the world from the period of 8.18.08 to 8.25.08. The findings are from the US Geological Survey (USGS). Earthquake information is extracted from a merged catalog of earthquakes located by the USGS and contributing networks. Earthquakes will be broadcast within a few minutes for California events and within 30-minutes for world-wide events.
This dataset displays population figures by Province and Occupation. Figures are obtained from the 2001 census. In October 2001, South Africans were counted for the second time as citizens of a democracy. Over 83 000 enumerators and over 17 000 supervisors and fieldwork co-ordinators were employed to collect information on persons and households throughout the country, using a uniform methodology. Census night, or the night of the count, was 9-10 October 2001. Census (population census) The total process of collecting, processing, analysing and publishing or otherwise disseminating demographic, economic and social data pertaining to all persons in a country or in a well-defined part of a country at a specified time. Please search for: south-africa-census for similar datasets.
This dataset displays population figures by Province and religion. Figures are obtained from the 2001 census. In October 2001, South Africans were counted for the second time as citizens of a democracy. Over 83 000 enumerators and over 17 000 supervisors and fieldwork co-ordinators were employed to collect information on persons and households throughout the country, using a uniform methodology. Census night, or the night of the count, was 9-10 October 2001. Census (population census) The total process of collecting, processing, analysing and publishing or otherwise disseminating demographic, economic and social data pertaining to all persons in a country or in a well-defined part of a country at a specified time. Please search for: south-africa-census for similar datasets.
This dataset displays population figures by Province, School attendance. Figures are obtained from the 2001 census. In October 2001, South Africans were counted for the second time as citizens of a democracy. Over 83 000 enumerators and over 17 000 supervisors and fieldwork co-ordinators were employed to collect information on persons and households throughout the country, using a uniform methodology. Census night, or the night of the count, was 9-10 October 2001. Census (population census) The total process of collecting, processing, analysing and publishing or otherwise disseminating demographic, economic and social data pertaining to all persons in a country or in a well-defined part of a country at a specified time. Please search for: south-africa-census for similar datasets.
This dataset displays population figures by Province and for the phone service available to the head of household. Figures are obtained from the 2001 census. In October 2001, South Africans were counted for the second time as citizens of a democracy. Over 83 000 enumerators and over 17 000 supervisors and fieldwork co-ordinators were employed to collect information on persons and households throughout the country, using a uniform methodology. Census night, or the night of the count, was 9-10 October 2001. Census (population census) The total process of collecting, processing, analysing and publishing or otherwise disseminating demographic, economic and social data pertaining to all persons in a country or in a well-defined part of a country at a specified time. Please search for: south-africa-census for similar datasets.
This dataset displays population figures by Province Energy or fuel for cooking. Figures are obtained from the 2001 census. In October 2001, South Africans were counted for the second time as citizens of a democracy. Over 83 000 enumerators and over 17 000 supervisors and fieldwork co-ordinators were employed to collect information on persons and households throughout the country, using a uniform methodology. Census night, or the night of the count, was 9-10 October 2001. Census (population census) The total process of collecting, processing, analysing and publishing or otherwise disseminating demographic, economic and social data pertaining to all persons in a country or in a well-defined part of a country at a specified time. Please search for: south-africa-census for similar datasets.
This dataset displays population figures by Province fuel for heating. Figures are obtained from the 2001 census. In October 2001, South Africans were counted for the second time as citizens of a democracy. Over 83 000 enumerators and over 17 000 supervisors and fieldwork co-ordinators were employed to collect information on persons and households throughout the country, using a uniform methodology. Census night, or the night of the count, was 9-10 October 2001. Census (population census) The total process of collecting, processing, analysing and publishing or otherwise disseminating demographic, economic and social data pertaining to all persons in a country or in a well-defined part of a country at a specified time. Please search for: south-africa-census for similar datasets.
Abstract: The Kabul city river layer was digitized from IKONOS satellite imagery (2000-2002) at 1:5,000 scale. This layer includes 1 type of river. Purpose: Kabul city river layers provide basemap data on river features at a 1:5,000 scale. Users must assume responsibility in determining the usability of this data for their purpose. Not for use in scales greater than 1:5,000.
This dataset displays population figures by Province and fuel source for lighting. Figures are obtained from the 2001 census. In October 2001, South Africans were counted for the second time as citizens of a democracy. Over 83 000 enumerators and over 17 000 supervisors and fieldwork co-ordinators were employed to collect information on persons and households throughout the country, using a uniform methodology. Census night, or the night of the count, was 9-10 October 2001. Census (population census) The total process of collecting, processing, analysing and publishing or otherwise disseminating demographic, economic and social data pertaining to all persons in a country or in a well-defined part of a country at a specified time. Please search for: south-africa-census for similar datasets.
This dataset has data on number of households and number of persons in each household throughout all the counties in Ireland. It is broken up by total number of private households, permanent private households, and temporary private households. It is important to note that the County of Dublin includes Fingal, South Dublin, and Dun Laoghaire-Rathdown county stats.
Abstract: The Kabul city roads layer was digitized from one-meter resolution IKONOS satellite imagery (2000-2002) at 1:5,000 scale. The layer is divided into four classes of roads, which are highway, divided boulevard, primary, and secondary. Purpose: Kabul city road layers provide base map data on road and track features at a 1:5,000 scale. Users must assume responsibility in determining the usability of this data for their purpose. Not for use in scales greater than 1:5,000.
Abstract: Afghanistan Information Management Service (AIMS) using one-meter resolution IKONOS satellite image (2000-2002) at scale 1:5,000 and ground truthing published this layer. There are about 24 bridges in the layer. Purpose: The bridges layer of Kabul city is the basis for showing the locations for the bridges in Kabul city. This point layer depicts, the location of the bridges as oppose to the actual structure of the bridges. Therefore, this data is useful for simply identifying location of a bridge.
This dataset displays population figures by Province household goods including radio's television etc. Figures are obtained from the 2001 census. In October 2001, South Africans were counted for the second time as citizens of a democracy. Over 83 000 enumerators and over 17 000 supervisors and fieldwork co-ordinators were employed to collect information on persons and households throughout the country, using a uniform methodology. Census night, or the night of the count, was 9-10 October 2001. Census (population census) The total process of collecting, processing, analysing and publishing or otherwise disseminating demographic, economic and social data pertaining to all persons in a country or in a well-defined part of a country at a specified time. Please search for: south-africa-census for similar datasets.
Abstract: This layer was published by Afghanistan Information Management Service (AIMS) mapped at 1:5,000 scale. There are about 17 names in the layer. The dates for compiling this data were from 2002-2003 and conducted by UNICEF. Purpose: This layer shows the geographic location of education facilities (schools and Universities) in Kabul, Afghanistan. These layers were derived from the Global Positioning System (GPS) location that was given by UNICEF.
Abstract: Afghanistan Information Management Service (AIMS) using one-meter resolution IKONOS satellite image (2000-2002) at scale 1:5,000 and ground truthing published this layer. There are about 24 bridges in the layer. Purpose: The bridges layer of Kabul city is the basis for showing the locations for the bridges in Kabul city. This point layer depicts, the location of the bridges as oppose to the actual structure of the bridges. Therefore, this data is useful for simply identifying location of a bridge.
The point shapefile shows the data as of 26th August, 2008, for the Air Quality Monitoring stations spread across Beijing province. Slowly the PM10 levels are creeping up from the lows found during the Olympics. For comparison see BBC's Beijing Pollution Watch website that show a photograph of Beijing skyline as of 26th August, 2008, along with the PM10 readings (BBC: 26 August PM10 reading: 93 micrograms per cubic metre. (The World Health Organisation guideline maximum is 50 micrograms per cubic metre, averaged over 24 hours.)) The same website also has photos and data for other days. http://news.bbc.co.uk/2/hi/in_pictures/7506925.stm
This dataset displays population figures by Province, race, and household size. Figures are obtained from the 2001 census. In October 2001, South Africans were counted for the second time as citizens of a democracy. Over 83 000 enumerators and over 17 000 supervisors and fieldwork co-ordinators were employed to collect information on persons and households throughout the country, using a uniform methodology. Census night, or the night of the count, was 9-10 October 2001. Census (population census) The total process of collecting, processing, analysing and publishing or otherwise disseminating demographic, economic and social data pertaining to all persons in a country or in a well-defined part of a country at a specified time. Please search for: south-africa-census for similar datasets.
This dataset displays population figures by Province, race, and refuse or rubbish disposal. Figures are obtained from the 2001 census. In October 2001, South Africans were counted for the second time as citizens of a democracy. Over 83 000 enumerators and over 17 000 supervisors and fieldwork co-ordinators were employed to collect information on persons and households throughout the country, using a uniform methodology. Census night, or the night of the count, was 9-10 October 2001. Census (population census) The total process of collecting, processing, analysing and publishing or otherwise disseminating demographic, economic and social data pertaining to all persons in a country or in a well-defined part of a country at a specified time. Please search for: south-africa-census for similar datasets.
This dataset displays population figures by Province, race, and gender. Figures are obtained from the 2001 census. In October 2001, South Africans were counted for the second time as citizens of a democracy. Over 83 000 enumerators and over 17 000 supervisors and fieldwork co-ordinators were employed to collect information on persons and households throughout the country, using a uniform methodology. Census night, or the night of the count, was 9-10 October 2001. Census (population census) The total process of collecting, processing, analysing and publishing or otherwise disseminating demographic, economic and social data pertaining to all persons in a country or in a well-defined part of a country at a specified time. Please search for: south-africa-census for similar datasets.
This dataset has data on the number of persons aged 3 or above that are able to Speak Irish throughout town in Ireland that have a population of over 1000. The towns have been geolocated by their lat/lon position. For more info about the data go to cso.ie/census.
Abstract: This layer was published by Afghanistan Information Management Service (AIMS), by collecting Global Positioning System (GPS) location of Diplomatic Missions, United Nations and International Organizations, in Kabul city. Purpose: This layer of international organizations at Kabul city of Afghanistan are the basis for showing the locations for the Diplomatic Missions, United Nations and International Organizations in Kabul city, which were mapped at 1:5,000 scale.
Abstract: This layer was published by Afghanistan Information Management Service (AIMS), which contains locations for landmarks such as banks, hospitals, Mosques, police stations, post offices, and shrines in Kabul city. This layer was mapped at 1:5,000 scale from one-meter resolution IKONOS satellite imagery (2000-2002) and certain landmarks were mapped using Global Positioning System (GPS) units. There are about 47 objects in the layer. Purpose: This layer is the basis for showing the geographic locations for the banks, hospitals, Mosques, police station, post offices, and shrines in Kabul city, which were mapped at 1:5,000 scale.
This dataset has data on the frequency that persons speak Irish throughout towns in Ireland that have a population of over 1000. The data includes both number and percentages for the following: Speaks Irish daily within education system only, speaks irish daily in and out of education system, outside education system daily, outside education system weekly, outside education system less often, outside education system never, and outside education system not stated. The towns have been geolocated by their lat/lon position. For more info about the data go to cso.ie/census.
Abstract: This layer was published by Afghanistan Information Management Service (AIMS), which contains locations for hotels, restaurants, palaces, and historical sites (Minarets, National Archive, Mausoleums, Balahisar, and Kabul Museum) in Kabul city, mapped at 1:5,000 scale from one meter resolution IKONOS satellite imagery (2000-2002). There are about 37 names in this layer. Purpose: This layer of landmarks at Kabul city of Afghanistan are the basis for showing the locations for the hotels, restaurants, palaces, and historical sites in Kabul city, which were mapped at 1:5,000 scale.
The poly shapefile has data for the total of individual donations by county by month from January to July, 2008. The monthly individual donor data was downloaded from FEC (Federal Election Commission), geocoded and then aggregated to county level for the lower 48 states.
This data includes the locations of city squares in Kabul City, Afghanistan. It is point data and includes the names of the squares.
Abstract: This layer depicts various type of land use in Kabul city. These land use includes the following, Airport, Cemetery, Agriculture Fields, Lakes, Parks, Stadiums, Urban Areas and Rural Areas. These layers were digitized from IKONOS satellite imagery (2000-2002) at 1:5,000 scale both from one meter resolution (most of Kabul) and 2.5 meter resolution (outside of Kabul). The shapefile has polygon topology and was created in ArcView 3.x shapefile. Purpose: This layer provides a ready reference for Kabul city land use types, which could be used for many purposes such as depicting geographic locations (Land marks) and making further analysis using various types of land uses.
This dataset displays population figures by Province, race, and dwelling type. Figures are obtained from the 2001 census. In October 2001, South Africans were counted for the second time as citizens of a democracy. Over 83 000 enumerators and over 17 000 supervisors and fieldwork co-ordinators were employed to collect information on persons and households throughout the country, using a uniform methodology. Census night, or the night of the count, was 9-10 October 2001. Census (population census) The total process of collecting, processing, analysing and publishing or otherwise disseminating demographic, economic and social data pertaining to all persons in a country or in a well-defined part of a country at a specified time. Please search for: south-africa-census for similar datasets.
Abstract: Rivers depicts line river features from United States Defense Mapping Agency (USDMA; 1967-1988) 1:100,000 scale topo maps. This layer includes three types of classes primary, secondary and seasonal. However, there are some miss classifications of the rivers and there are no names of the rivers, either. Purpose: Rivers are base map layer of line river features at a 1:100,000 scale. Users must assume responsibility in determining the use ability of this data for their purpose. Data at this scale is suitable for general studies and local planning.
This dataset has data on Town Resident Population by Country of Birth throughout towns in Ireland that have a population of over 1000. The data includes both number and percentages for the following: Town residents born in: Ireland, UK, Poland, Lithuania, Other EU 25 Countries (The European Union is composed of 27 independent sovereign countries which are known as member states: Austria, Belgium, Bulgaria, Cyprus, the Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Luxembourg, Malta, the Netherlands, Portugal, Romania, Slovakia, Slovenia, Spain, and Sweden), and the rest of the world. The towns have been geolocated by their lat/lon position. For more info about the data go to cso.ie/census.
This layer includes point locations of airports and airfields of Afghanistan, which were mapped at 1:250,000 scale from Joint Operations Graphics (JOGS) date (1967-1988) topo maps. This layer is for general reference only and should not to be used for air navigation. No quality control has been attempted and current ground condition is not known. Purpose: This layer was created as a base transportation layer.
This dataset displays population figures by Province and water source. Figures are obtained from the 2001 census. In October 2001, South Africans were counted for the second time as citizens of a democracy. Over 83 000 enumerators and over 17 000 supervisors and fieldwork co-ordinators were employed to collect information on persons and households throughout the country, using a uniform methodology. Census night, or the night of the count, was 9-10 October 2001. Census (population census) The total process of collecting, processing, analysing and publishing or otherwise disseminating demographic, economic and social data pertaining to all persons in a country or in a well-defined part of a country at a specified time. Please search for: south-africa-census for similar datasets.
This dataset has data on Town Resident Population by Country of Nationality throughout towns in Ireland that have a population of over 1000. The data includes both number and percentages for the following: Town residents with nationalities in: Ireland, UK, Poland, Lithuania, Other EU 25 Countries (The European Union is composed of 27 independent sovereign countries which are known as member states: Austria, Belgium, Bulgaria, Cyprus, the Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Luxembourg, Malta, the Netherlands, Portugal, Romania, Slovakia, Slovenia, Spain, and Sweden), and the rest of the world. The towns have been geolocated by their lat/lon position. For more info about the data go to cso.ie/census.
The point shapefile shows the data as of 27th August, 2008, for the Air Quality Monitoring stations spread across Beijing province. Slowly the PM10 levels are creeping up from the lows found during the Olympics.
This dataset has data on Town Resident Population by Cultural/Ethnic Backgrounds throughout towns in Ireland that have a population of over 1000. The data includes both number and percentages for the following: White Irish, White Irish Traveler, Other White, Black or Black Irish, Asian or Asian Irish, Other, and Not Stated. The towns have been geolocated by their lat/lon position. For more info about the data go to cso.ie/census.
Abstract: This layer includes point locations of airports and airfields of Afghanistan, which were mapped at 1:250,000 scale from Joint Operations Graphics (JOGS) topo maps dates (1997-1988). This layer is for general reference only and should not to be used for air navigation. Purpose: This layer was created as a base transportation layer. Indicates the physical location of all International Airports in Afghanistan.
This dataset has data on Town Resident Population by Religion throughout towns in Ireland that have a population of over 1000. The data includes both number and percentages for the following: Catholic, Other stated religion, No Religion, and Not Stated. The towns have been geolocated by their lat/lon position. For more info about the data go to cso.ie/census.
This dataset charts the path of the current Tropical Storm/Hurrican Gustav that has been moving throughout the Caribbean and is now approaching the Southern USA. The data provides the name and classification of the hurricane/storm, the lat/lon of the center of the Hurricane, the date and time of when the center of the Hurricane was recorded, the center's wind speed in knots, and the recorded pressure of the center in millibars.
This dataset shows predicted lat/lon locations of the tropical Storm/Hurricane Gustav as it currently rolls through the Caribbean on 8.27.2008. The data displays the predicted lat/lon, the predicted date and time, and the predicted wind speed in knots. The predicted locations are predictions from 8.27.2008 till 9.1.2008. The predictions come from the National Hurricane Service division at the National Weather Service. The path shows that Gustav is headed toward the Gulf of Mexico and the SE USA. For more information on changing forecasts visit the National Hurricane Center at nhc.noaa.gov/index.shtml
This dataset has data on Town Resident Population by Sex and Marital Status throughout towns in Ireland that have a population of over 1000. The data includes both number and percentages for the following both male and female: Single, Married, Separated, Divorced, and Widowed. The towns have been geolocated by their lat/lon position. For more info about the data go to cso.ie/census.
This dataset has data on Number of Family Units by size of family unit (number of persons) throughout towns in Ireland that have a population of over 1000. The data includes both number and percentages for family units of the following sizes: 2 persons, 3 persons, 4 persons, 5 persons, and 6 or more persons. The towns have been geolocated by their lat/lon position. For more info about the data go to cso.ie/census.
The point shapefile shows the data as of 28th August, 2008, for the Air Quality Monitoring stations spread across Beijing province. Slowly the PM10 levels are creeping up from the lows found during the Olympics.
WGMS provides standardized observations on changes in mass, volume, area and length of glaciers with time (Fluctuations of Glaciers), as well as statistical information on the distribution of perennial surface ice in space (World Glacier Inventory). In addition, information on special events are available, such as surges, calving instabilities, rock falls onto glaciers, lake outbursts, ice avalanches, eruptions of glacier-clad volcanoes or related protection work including prospection and scientific analysis.
From Natural Disaster Study [National Pipeline Risk Index] This dataset provides the Nationwide earthquake risk ranked on an ordinal scale from 1 to 100. Scale: 1:500,000 "The following data layers are derived from a study (Natural Disaster Study, 1996) conducted by The Federal Emergency Management Agency (FEMA) on behalf of the The U.S. Department of Transportation Pipeline and Hazardous Materials Safety Administration. The layers were created from grid data with a spatial resolution of one square kilometer. The data are ranked on a scale of 0 to 100 and represent a relative risk of hazard."""
A contribution to the Global Terrestrial Network for Glaciers (GTN-G) as part of the Global Terrestrial/Climate Observing System (GTOS/GCOS), the Division of Early Warning and Assessment and the Global Environment Outlook as part of the United Nations Environment Programme (DEWA and GEO, UNEP), and the International Hydrological Programme (IHP, UNESCO) Prepared by the World Glacier Monitoring Service (WGMS) Fluctuations of glaciers have been reported and documented in an internationally coordinated way for more than a century. They have now become a key indication of global climate and environmental change. The possibility to observe the often dramatic changes in the geometry of perennial surface ice within a lifetime period, combined with the easily understandable principle of ice melting under the influence of high air temperatures, makes the retreat of glacier tongues and ice margins a unique climate change demonstration object for the public at large. In fact, future generations will be able to judge what climate scenario will have taken place by looking at the form, size and sheer existence of glaciers around the world.
This data set displays the active pipeline in the Gulf of Mexico. These pipelines are used to transport natural resources from the off shore wells/platforms. This data has been taken from the master pipeline data sets provided by the MMS which include all existing pipelines in the MMS database.
The data set displays the major shipping fairways for the Gulf of Mexico Region. This dataset displays the fairways in polygon form. These fairways connect the thousands of platforms and pipelines that are responsible for the oil production in the Gulf of Mexico. This data is available from Mineral Management Services.
The data set displays the major shipping fairways for the Gulf of Mexico Region. This dataset displays the fairways in line form. These fairways connect the thousands of platforms and pipelines that are responsible for the oil production in the Gulf of Mexico. This data is available from Mineral Management Services.
This data set depicts the limit of U.S. jurisdiction for offshore mineral development. This data is displayed in line format, and is made available from the Mineral Management Service.
This data set contains the information that delineates the State Seaward Boundary.This data is available from the Mineral Management Service. This data is from the 2/13/2008 update.
The point shapefile shows the data as of 29th August, 2008, for the Air Quality Monitoring stations spread across Beijing province. PM10 levels are dramatically higher compared to last few days. Majority of stations are registering PM10 level of 90 and above.
This dataset shows predicted lat/lon locations of the tropical Storm/Hurricane Gustav as it currently rolls through the Caribbean on 8.27.2008. The data displays the predicted lat/lon, the predicted date and time, and the predicted wind speed in knots. The predicted locations are predictions from 8.27.2008 till 9.1.2008. The predictions come from the National Hurricane Service division at the National Weather Service. The path shows that Gustav is headed toward the Gulf of Mexico and the SE USA. For more information on changing forecasts visit the National Hurricane Center at nhc.noaa.gov/index.shtml
This dataset charts the path of the current Tropical Storm/Hurrican Gustav that has been moving throughout the Caribbean and is now approaching the Southern USA. The data provides the name and classification of the hurricane/storm, the lat/lon of the center of the Hurricane, the date and time of when the center of the Hurricane was recorded, the center's wind speed in knots, and the recorded pressure of the center in millibars.
This dataset charts the path of the current Tropical Storm/Hurrican Gustav that has been moving throughout the Caribbean and is now approaching the Southern USA. The data provides the name and classification of the hurricane/storm, the lat/lon of the center of the Hurricane, the date and time of when the center of the Hurricane was recorded, the center's wind speed in knots, the direction of movement in degrees and the recorded pressure of the center in millibars.
This dataset shows predicted lat/lon locations of the tropical Storm/Hurricane Gustav as it currently rolls through the Caribbean on 8.29.2008. The data displays the predicted lat/lon, the predicted date and time, and the predicted wind speed in knots. The predicted locations are predictions from 8.29.2008 till 9.3.2008. The predictions come from the National Hurricane Service division at the National Weather Service. The path shows that Gustav is headed toward the Gulf of Mexico and the SE USA. For more information on changing forecasts visit the National Hurricane Center at nhc.noaa.gov/index.shtml
Files in the table below are for the Pacific OCS Region only. Platform/Rig Information and Data includes information on a complex with specific information on the structure and/or abandonment of a complex, production equipment and gas, oil, water and condensate status. This dataset provides information on the complex as to availability of a heliport and whether the complex is in the production status and manned or not. List of all Platform Locations Sorted by District and Area
Abstract: Lakes depicts lake polygon features from United States Defense Mapping Agency (USDMA) 1:100,000 scale topo maps. This layer includes both major and minor lakes. Purpose: Lakes is a base map layer of polygon lakes features mapped at a 1:100,000 scale. Users must assume responsibility in determining the useability of this data for their purpose. Data at this scale is suitable for general studies and local planning.
The point shapefile shows data for the windspeed forecast for 2nd Sept, 2008 along parts of Gulf coast, near the site where hurricane Gustav may make a land-fall. The 7 day forecast is based on NOAA's NDFD as of 29th Aug, 2008.
The point shapefile shows the forecast data for the 3rd of Sep, 2008 after Gustav's landfall near Lake Charles, Lousiana on 2nd Sep, 2008. The data was derived from NOAA's National Digital Forecast Database (NDFD).
The point shapefile shows the data as of 30th August, 2008, for the Air Quality Monitoring stations spread across Beijing province. PM10 levels are a bit lower compared to Aug 29 levels. Note: Missing values are coded as -99
The point shapefile shows the rise in sea-levels forecast as significant wave heights when Gustav makes landfall along Lousiana coast-line on 2nd Sept, 2008. The shape file is generated from the NDFD (National Digital Forecast Database) 7 day-forecast as of 30th Aug, 2008.
The point shapefile shows the forecast for wind speed and direction along Lousiana coast line when Gustav makes a landfall on 2nd Sept, 2008. The shapefile was generated from 7-day gridded forecasts by NDFD (National Digital Forecast Database)as of Aug 30, 2008 for the lower mississippi valley.
The point shapefile shows the forecast for wave height on Sept 03, along Lousiana coast line when Gustav makes a landfall on 2nd Sept, 2008. The shapefile was generated from 7-day gridded forecasts by NDFD (National Digital Forecast Database)as of Aug 30, 2008 for the lower mississippi valley
The point shapefile shows the forecast for wind speed and direction along Lousiana coast line on Sep 03, 2008 after Gustav makes a landfall on 2nd Sept, 2008. The shapefile was generated from 7-day gridded forecasts by NDFD (National Digital Forecast Database)as of Aug 30, 2008 for the lower mississippi valley
The point shapefile shows the data as of 31th August, 2008, for the Air Quality Monitoring stations spread across Beijing province. PM10 levels are very low, its a blue sky day in Beijing! Note: Missing values are coded as -99
The Tropical Cyclone Storm Surge Probabilities data shows the probability, in percent, of a specified storm surge occurring during the forecast period indicated. The product is based upon an ensemble of Sea, Lake, and Overland Surge from Hurricanes (SLOSH) model runs using the National Hurricane Center (NHC) official advisory and accounts for track, size, and intensity errors based on historical errors.
This poly shapefile of 15 ft plus surge is one of the many generated from NOAA's NDFD gridded forecast of hurricane Gustav's storm surge. The poly shapefile was generated using NDFD's DGrib utility available at NDFD's website. Search with keyword "Storm surge" or "Gustav" for other poly shapefiles of storm surges between 10 to 15 ft, 5 to 10 ft, 2 to 5 ft and 1ft or less, elsewhere on Finder! When all of these are combined together, they will form the entire forecast of Gustav related storm surge.
This poly shapefile with storm surge values between 10 and 15 ft is one of the many generated from NOAA's NDFD gridded forecast of hurricane Gustav's storm surge. The poly shapefile was generated using NDFD's DGrib utility available at NDFD's website. Search with keyword "Storm surge" or "Gustav" for other poly shapefiles of storm surges above 15 ft, 5 to 10 ft, 3 to 5 ft, 2 ft and 1ft or less, elsewhere on Finder! When all of these are combined together, they will form the entire forecast of Gustav related storm surge.
This poly shapefile with storm surge values between 5 and 10 ft is one of the many generated from NOAA's NDFD gridded forecast of hurricane Gustav's storm surge. The poly shapefile was generated using NDFD's DGrib utility available at NDFD's website. Search with keyword "Storm surge" or "Gustav" for other poly shapefiles of storm surges of 15 ft or more, 10 to 15 ft, 3 to 5 ft, 2 ft and 1ft or less, elsewhere on Finder! When all of these are combined together, they will form the entire forecast of Gustav related storm surge.
This poly shapefile with storm surge values between 3 and 5 ft is one of the many generated from NOAA's NDFD gridded forecast of hurricane Gustav's storm surge. The poly shapefile was generated using NDFD's DGrib utility available at NDFD's website. Search with keyword "Storm surge" or "Gustav" for other poly shapefiles of storm surges of 15 ft or more, 10 to 15 ft, 5 to 10 ft, 2 ft and 1ft or less, elsewhere on Finder! When all of these are combined together, they will form the entire forecast of Gustav related storm surge. today
This poly shapefile with storm surge values of 2 ft is one of the many generated from NOAA's NDFD gridded forecast of hurricane Gustav's storm surge. The poly shapefile was generated using NDFD's DGrib utility available at NDFD's website. Search with keyword "Storm surge" or "Gustav" for other poly shapefiles of storm surges of 15 ft or more, 10 to 15 ft, 5 to 10 ft, 3 to 5 ft and 1ft or less, elsewhere on Finder! When all of these are combined together, they will form the entire forecast of Gustav related storm surge.
This poly shapefile with storm surge values of 1 ft or less is one of the many generated from NOAA's NDFD gridded forecast of hurricane Gustav's storm surge. The poly shapefile was generated using NDFD's DGrib utility available at NDFD's website. Search with keyword "Storm surge" or "Gustav" for other poly shapefiles of storm surges of 15 ft or more, 10 to 15 ft, 5 to 10 ft, 3 to 5 ft and 2ft elsewhere on Finder! When all of these are combined together, they will form the entire forecast of Gustav related storm surge.
The poly shapefile shows the results of join between wind speed and wind direction forecasts based on the NDFD (National Digital Forecast Database) from NOAA as of 31st Aug, 2008.
The NHC official track forecast in shapefile format is an experimental products that the National Hurricane Center is testing during the 2008 hurricane season. This product will aid in the visualization of an NHC official track forecast, the forecast points are connected by black line segments. The track line(s) are not a forecast product, however, and because there are an infinite number of ways to connect a set of forecast points, the lines should not be interpreted as representing a specific forecast for the location of a tropical cyclone in between official forecast points. It is also important to remember that tropical cyclone track forecasts are subject to error, and that the effects of a tropical cyclone can span many hundreds of miles from the center.
The NHC official 3/5 day forecast cone of uncertainty in shapefile format is an experimental products that the National Hurricane Center is testing during the 2008 hurricane season. The cone represents the probable track of the center of a tropical cyclone, and is formed by enclosing the area swept out by a set of circles along the forecast track (at 12, 24, 36 hours, etc). The size of each circle is set so that two-thirds of historical official forecast errors over a 5-year sample fall within the circle. Based on forecasts over the previous 5 years, the entire track of a tropical cyclone can be expected to remain within the cone roughly 60-70% of the time. It is important to note that the area affected by a tropical cyclone can extend well beyond the confines of the cone enclosing the most likely track area of the center.
The NHC official track forecast points in shapefile format is an experimental products that the National Hurricane Center is testing during the 2008 hurricane season. The points represent the official NHC forecast locations of the center of a tropical cyclone. Forecast center positions are given for projections valid 12, 24, 36, 48, 72, 96, and 120 h after the forecast's nominal initial time, provided that a closed surface wind circulation is expected to exist at the forecast projection time. It is important to remember that tropical cyclone track forecasts are subject to error, and that the effects of a tropical cyclone can span many hundreds of miles from the center.
The NHC official watch/warning in shapefile format is an experimental products that the National Hurricane Center is testing during the 2008 hurricane season. Coastal areas placed under tropical cyclone watches or warnings are delimited by specific geographical locations known as "breakpoints" (e.g., a hurricane warning is in effect from breakpoint "A" to breakpoint "B"). This file consists of one or more lines connecting the breakpoints delimiting any current watches or warnings.
This data set displays the monthly production figures for the top Oil producing wells in the Gulf of Mexico. The well production information submitted by oil and gas companies to the MRM in Denver, Colorado. This data has not been verified by MMS (1-800-525-7922x3675). This production data was joined to the locational well data on the boreholes in the Gulf. They were joined according to the API well number. The borehole data set was used to locate the wells according to the associated surface Latitude and Longitude Coordinates. Wells producing 300 or more units of oil for the month are displayed in this data set.
This dataset displays the inmate populations for all the Federal Prisons throughout the United States on 8.28.08. This weekly Population Report can be found on the Bureau of Prisons website at bop.gov. These facilities are positioned by their lat/lon and this dataset is updated on a weekly basis.
This coverage represents year MODIS fire detections for the 7 day period specified for the geographic area covering the conterminous United States, Alaska, Hawaii, Canada and northern Mexico. The detections are obtained using both TERRA MODIS and AQUA MODIS data are collected and processed as a cooperative effort between the USDA Forest Service Remote Sensing Application Center, NASA-Goddard Space Flight Center and the University of Maryland. These fire detection data are collected for the USDA Forest Service MODIS Active Fire Mapping Program (http://activefiremaps.fs.fed.us). These data are intended to provide a synoptic view of active fires for the past and present over the specified time period. These data are collected at a spatial resolution of 1 kilometer and therefore are only intended for geographic display and analysis at the national and regional levels. No responsibility is assumed by the USDA Forest Service in the use of these data.
This dataset is from the website USA Election Polls. The dataset includes 3 different polls by state for Obama vs. McCain and 1 average of all polls. The The data is organized in various ways to make the All values of -1 represent no available data.
This is a collection of the county seat locations for the state of Tennessee. This statewide point coverage was provided by the National Resources Conservation Service (NRCS). There is no accompanying metadata form, so the exact date of publication is unsure. The date of publication for the regular county boundary files is 2000, so that is what is given below as a guesstimate.
The county boundary features encompass all counties in the State of Tennessee. The nominal scale of the data set is 1:24,000.
This dataset comes from the NOAA, The National Oceanic and Atmospheric Administration (NOAA) is a federal agency focused on the condition of the oceans and the atmosphere. this dataset shows the forecast for precipitation in the United States for the 5 days following september 2nd, 2008. this includes rainfall from Hurricanes Gustav and Hannah.
This statewide STATSGO generalized soils coverage was provided by the National Resources Conservation Service (NRCS). There is no official Metadata form so there is limited information about the data set.
This data set displays the 5 day forecast/storm track for hurricane Hanna. This data is current as of September 2 2008, and is made available from NOAA. The NHC official track forecast in shapefile format is an experimental products that the National Hurricane Center is testing during the 2008 hurricane season. This product will aid in the visualization of an NHC official track forecast, the forecast points are connected by black line segments. The track line(s) are not a forecast product, however, and because there are an infinite number of ways to connect a set of forecast points, the lines should not be interpreted as representing a specific forecast for the location of a tropical cyclone in between official forecast points. It is also important to remember that tropical cyclone track forecasts are subject to error, and that the effects of a tropical cyclone can span many hundreds of miles from the center. The NHC official track forecast in shapefile format is intended to aid in the visualization of an NHC official track forecast
This data set includes the location of all the interstate highway mile posts in Tennessee. This does not have a metadata form accompanying it so there is not much explanation.
This data set displays the 5 day forecast/storm track for hurricane Hanna. This data is current as of September 2 2008, and is made available from NOAA. The NHC official track forecast in shapefile format is an experimental products that the National Hurricane Center is testing during the 2008 hurricane season. This product will aid in the visualization of an NHC official track forecast, the forecast points are connected by black line segments. The track line(s) are not a forecast product, however, and because there are an infinite number of ways to connect a set of forecast points, the lines should not be interpreted as representing a specific forecast for the location of a tropical cyclone in between official forecast points. It is also important to remember that tropical cyclone track forecasts are subject to error, and that the effects of a tropical cyclone can span many hundreds of miles from the center. The NHC official track forecast in shapefile format is intended to aid in the visualization of an NHC official track forecast
This data set displays the 5 day forecast/storm track for hurricane Hanna. This data is current as of September 2 2008, and is made available from NOAA. The NHC official track forecast in shapefile format is an experimental products that the National Hurricane Center is testing during the 2008 hurricane season. This product will aid in the visualization of an NHC official track forecast, the forecast points are connected by black line segments. The track line(s) are not a forecast product, however, and because there are an infinite number of ways to connect a set of forecast points, the lines should not be interpreted as representing a specific forecast for the location of a tropical cyclone in between official forecast points. It is also important to remember that tropical cyclone track forecasts are subject to error, and that the effects of a tropical cyclone can span many hundreds of miles from the center. The NHC official track forecast in shapefile format is intended to aid in the visualization of an NHC official track forecast
The NHC official watch/warning in shapefile format is an experimental products that the National Hurricane Center is testing during the 2008 hurricane season. Coastal areas placed under tropical cyclone watches or warnings are delimited by specific geographical locations known as "breakpoints" (e.g., a hurricane warning is in effect from breakpoint "A" to breakpoint "B"). This file consists of one or more lines connecting the breakpoints delimiting any current watches or warnings. Coastal areas placed under tropical cyclone watches or warnings This data set displays the 5 day forecast/storm track for hurricane Hanna. This data is current as of September 2 2008, and is made available from NOAA. The NHC official track forecast in shapefile format is an experimental products that the National Hurricane Center is testing during the 2008 hurricane season. This product will aid in the visualization of an NHC official track forecast, the forecast points are connected by black line segments. The track line(s) are not a forecast product, however, and because there are an infinite number of ways to connect a set of forecast points, the lines should not be interpreted as representing a specific forecast for the location of a tropical cyclone in between official forecast points. It is also important to remember that tropical cyclone track forecasts are subject to error, and that the effects of a tropical cyclone can span many hundreds of miles from the center. The NHC official track forecast in shapefile format is intended to aid in the visualization of an NHC official track forecast
This shapefile consists of the precipitation hazards for the CPC U.S. Hazards Assessment The purpose of this product is to denote areas where heavy precipitation could lead to flooding conditions. In addition, areas that have a chance of heavy winter precipitation are also denoted. A new Hazards forecast is produced every Monday-Friday This forecast is valid for Days 3-14 after the forecast date, which is denoted in the filename
BASE FLOOD ELEVATION (BFE) LINES OF THE DIGITAL FLOOD INSURANCE RATE MAP (DFIRM) - APRIL 2008 Publication Place: Washington, DC Publisher: Federal Emergency Management Agency Abstract: This dataset contains information about the Base Flood Elevations (BFE) within a study area. BFE lines indicate the rounded whole-foot water surface elevation of the 1-percent-annual-chance flood. The spatial elements representing BFE features are lines extending from Special Flood Hazard Area (SFHA) boundary to SFHA boundary. The BFE lines will have no visible gaps or overshoots between the SFHA boundary and the end of the BFE line at the publication scale of the DFIRM. However, the ends of the BFE lines are not necessarily snapped precisely to the SFHA boundary. Each BFE is represented by a single line. The Base Flood Elevation (BFE) information is required for any digital data where BFE lines will be shown on the corresponding Flood Insurance Rate Map (FIRM). Normally if there are any riverine AE zones, BFE lines are required. While BFE lines are depicted as wavy lines on the hardcopy FIRM, they should be primarily straight lines in the spatial data, although they may bend consistent with procedures described in Volume 1 of these Guidelines. The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event (100 year), the 0.2-percent-annual-chance flood event (500 year), and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. This dataset is an update to the DFIRM_BFE_DEC07.shp layer.
Abstract: This dataset contains 2008 Civic Center Facility Information for the State of Florida. This dataset contains fields denoting the physical address and contact information for civic center facilities based on data taken from the Yellow and Super Pages Online. This data is meant to be used for planning purposes only and is not intended to represent a 100% inventory of civic centers in Florida. This dataset is an update to the gc_civiccenter_sep05.shp layer. Purpose: The data was created to serve as base information for use in GIS systems for a variety of planning and analytical purposes.
This is a data layer used to show the location of ramps along Tennessee interstates. Due to a lack of a clear metadata form, there is very little information accompanying the data set.
This data set displays the monthly production figures for the top Gas producing wells in the Gulf of Mexico. The well production information submitted by oil and gas companies to the MRM in Denver, Colorado. This data has not been verified by MMS (1-800-525-7922x3675). This production data was joined to the locational well data on the boreholes in the Gulf. They were joined according to the API well number. The borehole data set was used to locate the wells according to the associated surface Latitude and Longitude Coordinates. Wells producing 300 or more units of oil for the month are displayed in this data set.
Abstract: This dataset contains cartographic representation of the coastal counties in the the State of Florida that are vulnerable to coastal erosion and inundation from sea level rise or storm surge. Purpose: The purpose of these data is to provide a cartographic representation of the coastal zones in state of Florida that are vulnerable to coastal erosion and inundation from sea level rise or storm surge. This data set was selected to provide coastal managers with a comprehensive coastal hazards data layer for view in combination with the many other data layers provided. In addition, these data may highlight areas of concern that may require further attention or investigation. Supplemental Information: POLYGON
This data depicts the geometry of Tennessee Interstate Highways. Due to the lack of a good metadata form, there is very little information accompanying the data set.
Content Summary: The Emissions & Generation Resource Integrated Database (eGRID) is a comprehensive inventory of environmental attributes of electric power systems. The preeminent source of air emissions data for the electric power sector, eGRID is based on available plant-specific data for all State of Florida electricity generating plants that provide power to the electric grid and report data to the U.S. government. eGRID contains air emissions data for nitrogen oxides, sulfur dioxide, carbon dioxide, and mercury. The information includes fuel consumption, generation, and emissions data, along with plant identification, location, and structural information for nearly all electric generators in the State of Florida. For more information on eGRID please see the following US EPA documentation: eGRID2006V2_1_TSD.pdf
The Tour du Leman is a 100 Mile rowing race held in Geneva, Switzerland the last weekend of September, Sponsored by Hypo Swiss Private banks. This map shows the various way points that the racers must check in at to complete the race.
Thi sdatasets displays the locations of all recorded earthquakes of a magnitude.
PA Game Commission districts
District Level Boundaries of Afghanistan, contains 329 District level boundaries for Afghanistan. The shapefile has polygon topology and was created in AtlasGIS by (USAID) and later on was updated to ArcView shapefile at AIMS. shapefile attributes were carefully examined for accuracy based on existing source material (USDMA 100K maps)and limitations of scale. NODE ERRORS were resolved. The shapefile was CLEANED and BUILT with POLYGON topology. Due to an incomplete metadata form, there is very little information accompanying the data set.
Boundaries for 29 PGC Land Management Groups
Office locations in PA
The watershed contains forty-one watersheds delineated within five river basins in Afghanistan, five of them are non-drainage areas. The size of the watersheds was limited in order to retain meso-units suitable for hydrological and agricultural/agro-meteorological monitoring and analysis and watershed management activities. Upper Hilmand is the largest watershed in Afghanistan, covering 46,882 sq. km, while the smallest watershed is Dasht-i Nawur, which covers 1,618 sq. km.
Part of the Pennsylvania Gap Analysis Project the Breeding Bird Atlas database indicates bird species and nesting behavior of known birds species in Pennsylvania. The database is organized into two primary segments; the block and the species lists (data). Blocks are defined by a code for the USGS topographic map, and the block number. All records are organized by the Atlas region. Various attributes of the Atlas block are incorporated, including geographic features (physiographic locations), effort (hours of fieldwork). The species segment, being replicated the full 320,000 times, was kept to a minimal size, and lists only the species and breeding code, the year and comment. Evidence of birds nesting within an Atlas block was recorded with a set of codes that describe behavior and physical evidence of nesting. These codes are divided into four hierarchical categories, three of which indicate breeding. "Observed," "Possible," "Probable," and "Confirmed" breeding codes represent increasing evidence that nesting occurred within the block a species was recorded. "Probable" and "Confirmed" categories were further segregated into hierarchical codes that represent individual breeding behaviors or physical evidence of nesting. A description of breeding codes may be provided upon request. All of Pennsylvania's 4,928 atlas "blocks" were surveyed, with an average of 65 species per block recorded. A total of 188 breeding species were documented statewide. Data catalogued geographically by atlas "block," USGS 7.5 minute quadrangle, county, and physiographic province. Species files include political status designation and a number of life-history characteristics.
Game Commission Regions
Wildlife Management Units
30 Year Precipitation dataset (1971-2000) for the Susquehanna River Basin (2006 boundary). This dataset was created from a precipitation raster from the Spatial Climate Analysis Service, Oregon State University. Please use the GRIDCODE field for precipitation in inches. The correct conversion appears in the Entity and Attribute; Overview Description section of this document.
Isoline shapefile created from the 1971-2000 precipitation raster dataset from the Spatial Climate Analysis Service, Oregon State University. This file should be used in conjunction with the 30 Year Precipitation dataset (1971-2000) for the Susquehanna River Basin (2006 boundary). The attribute field for inches has been interpolated from the raster's GRIDCODE field. The inch values should be viewed as approximate. The conversion is listed in the Entity Attribute Overview section of the document. This section also lists the correct conversion for the 30 Year Precipitation dataset (1971-2000) for the Susquehanna River Basin.
Polygon shapefile that depicts level 3 ecoregions for the Susquehanna River Basin (2006 boundary). Ecoregions are based on perceived patterns of a combination of causal and integrative factors including land use, land surface form, potential natural vegetation, and soils (Omernik, 1987). This is a copy of the ecoregion coverage of Omernik (1987) with some item names modified.
Abstract: This Historical North Atlantic Tropical Cyclone Tracks file contains the 6-hourly (0000, 0600, 1200, 1800 UTC) center locations and intensities for all subtropical depressions and storms, extratropical storms, tropical lows, waves, disturbances, depressions and storms, and all hurricanes, from 1851 through 2005. Purpose: These data are intended for geographic display and analysis at the national level, and for large regional areas. The data should be displayed and analyzed at scales appropriate for 1:2,000,000-scale data.No responsibility is assumed by the National Oceanic and Atmospheric Administration in the use of these data. Supplemental Information: LINE
Polyline shapefile representing streams in the Susquehanna River Basin that have a fish consumption advisory listing due to PCBs and/or mercury. These are advisories for eating sport fish. The New York State Department of Health (NYSDoH), the Maryland Department of the Environment (MDE), and the Pennsylvania Department of Environmental Protection (PADEP) issue these advisories on a yearly basis.
Abstract: This dataset contains the Spatial Extent of the Coastal Barrier Resource System. Purpose: To show the Spatial Extent of the Coastal Barrier Resource System.
The poly shapefile shows 2005 earmarks by state based on data from Office of Management and Budget (The White House). The top five states in terms of total earmark dollars (thousands)are: State Earmarks $Amt(thous) CALIFORNIA 544 2572578 ILLINOIS 325 1290476 NEW YORK 496 999815 ALASKA 119 931652 TEXAS 230 748051 Earmarks per capita: State Earmarks $Amt ALASKA 119 1,392 VERMONT 49 423 MONTANA 36 348 SOUTH DAKOTA 56 346 WASHDC 14 297
The Tropical Cyclone Storm Surge Probabilities data shows the probability, in percent, of a specified storm surge occurring during the forecast period indicated. The product is based upon an ensemble of Sea, Lake, and Overland Surge from Hurricanes (SLOSH) model runs using the National Hurricane Center (NHC) official advisory and accounts for track, size, and intensity errors based on historical errors. The Tropical Cyclone Storm Surge Probabilities in shapefile format is an experimental products that the National Hurricane Center is testing during the 2008 hurricane season. The data is intended to provide the emergency management community; federal, state, and local government agencies; media; maritime interests; and the general public with information that enhances their ability to make preparedness decisions specific to their own situations with regards to storm surge.
The NHC official track forecast in shapefile format is an experimental products that the National Hurricane Center is testing during the 2008 hurricane season. This product will aid in the visualization of an NHC official track forecast, the forecast points are connected by black line segments. The track line(s) are not a forecast product, however, and because there are an infinite number of ways to connect a set of forecast points, the lines should not be interpreted as representing a specific forecast for the location of a tropical cyclone in between official forecast points. It is also important to remember that tropical cyclone track forecasts are subject to error, and that the effects of a tropical cyclone can span many hundreds of miles from the center. The NHC official track forecast in shapefile format is intended to aid in the visualization of an NHC official track forecast
The NHC official 3/5 day forecast cone of uncertainty in shapefile format is an experimental products that the National Hurricane Center is testing during the 2008 hurricane season. The cone represents the probable track of the center of a tropical cyclone, and is formed by enclosing the area swept out by a set of circles along the forecast track (at 12, 24, 36 hours, etc). The size of each circle is set so that two-thirds of historical official forecast errors over a 5-year sample fall within the circle. Based on forecasts over the previous 5 years, the entire track of a tropical cyclone can be expected to remain within the cone roughly 60-70% of the time. It is important to note that the area affected by a tropical cyclone can extend well beyond the confines of the cone enclosing the most likely track area of the center. The cone represents the probable track of the center of a tropical cyclone.
Housing foreclousers by state in the US
The NHC official 3/5 day forecast cone of uncertainty in shapefile format is an experimental products that the National Hurricane Center is testing during the 2008 hurricane season. The cone represents the probable track of the center of a tropical cyclone, and is formed by enclosing the area swept out by a set of circles along the forecast track (at 12, 24, 36 hours, etc). The size of each circle is set so that two-thirds of historical official forecast errors over a 5-year sample fall within the circle. Based on forecasts over the previous 5 years, the entire track of a tropical cyclone can be expected to remain within the cone roughly 60-70% of the time. It is important to note that the area affected by a tropical cyclone can extend well beyond the confines of the cone enclosing the most likely track area of the center. The cone represents the probable track of the center of a tropical cyclone.
This dataset displays the inmate populations for all the Federal Prisons throughout the United States on 9.4.08. This weekly Population Report can be found on the Bureau of Prisons website at bop.gov. These facilities are positioned by their lat/lon and this dataset is updated on a weekly basis.
The poly shafile shows number of earmarks, total earmark dollars and per capita earmark doallrs by state in 2005 and 2008, this is based on data released by Office of Budget and Management (OMB), the White House. The White House has been trying to rally support against the notorious earmarks by making this data public on OMBs website. So far they have data for year 2005 and 2008 by states. The top five states in terms of Per capita earmark dollars in 2005 State Earmarks TotDollars Pop05 PerCapEarmark Alaska 119 931652 669411 1392 Vermont 49 262400 619736 423 Montana 36 325259 935784 348 South Dakota 56 269889 780046 346 Wash DC 14 172884 582049 297 The top five states in terms of Per capita earmark dollars in 2008 State Earmarks TotDollars Pop07 PerCapEarmark Alaska 113 145947 683478 214 Arkansas 98 359695 2834797 127 North Dakota 56 80252 639715 125 West Virginia 114 215044 1812035 119 Mississippi 172 330744 2918785 113 Wash DC 52 54683 588292 93 Acoording to OMB site, more $9 billion in earmark projects are yet to be assigned to different states. Note: For percap 2008 earmarks, population estimates of 2007 were used. Source of Population Estimates: http://www.census.gov/popest/national/files/NST-EST2007-alldata.csv
Hurricane Evacuation Routes in North Carolina A hurricane evacuation route is a designated route used to direct traffic inland in case of a hurricane threat. This dataset is based on supplied data from gulf coast and Atlantic seaboard states. Each state was contacted by TGS to determine an official source for hurricane evacuation routes. GIS data was gathered from states willing to share such data. In cases where states were unable or unwilling to share data in this format, TGS requested that the states provide a source for identifying hurricane evacuation routes. The states usually identified a website that made this data available to the public. Hurricane evacuation routes depicted on non-GIS maps were digitized using aerial ortho imagery while referencing supplied maps and NAVTEQ_Streets_2006_Q3. Shape files that depicted hurricane evacuation routes were edge matched and merged with the digitized evacuation routes. All routes identified as primary hurricane evacuation routes were included in this dataset. If a state also designated secondary hurricane evacuation routes, they were included as well. Routes depicted in this dataset are dependent upon what each state identified as a hurricane evacuation route. Criteria used to identify these routes may vary from state to state.
In 2008, 88 women serve in the U.S. Congress. Sixteen women serve in the Senate, and 71 women serve in the House. The number of women in statewide elective executive posts is 74, while the proportion of women in state legislatures is at 23.7 percent. This dataset shows the distribution of women in the US House of Representatives and Senate at the state level to help show the depth of women in Government.
Women Mayors in U.S. Cities 2008 (cities over 30,000, listed by population & by state, as of February 2008) As of February 21, 2008, of the 1,193 mayors of U.S. cities with populations over 30,000, 187, or 15.7%, were women. Primary reference source: U.S. Conference of Mayors, February 2008
his dataset contains information about the Base Flood Elevations (BFE) within a study area. BFE lines indicate the rounded whole-foot water surface elevation of the 1-percent-annual-chance flood. The spatial elements representing BFE features are lines extending from Special Flood Hazard Area (SFHA) boundary to SFHA boundary. The BFE lines will have no visible gaps or overshoots between the SFHA boundary and the end of the BFE line at the publication scale of the DFIRM. However, the ends of the BFE lines are not necessarily snapped precisely to the SFHA boundary. Each BFE is represented by a single line. The Base Flood Elevation (BFE) information is required for any digital data where BFE lines will be shown on the corresponding Flood Insurance Rate Map (FIRM). Normally if there are any riverine AE zones, BFE lines are required. While BFE lines are depicted as wavy lines on the hardcopy FIRM, they should be primarily straight lines in the spatial data, although they may bend consistent with procedures described in Volume 1 of these Guidelines. The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event (100 year), the 0.2-percent-annual-chance flood event (500 year), and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. This dataset is an update to the DFIRM_BFE_DEC07.shp layer.
This Data set shows the population estimates for 2007 from the US Census. the demographic data was filtered and contains total Population estimates by state, and a field for women aged 18-30, which represents a key voting demographic for the 2008 presidential election, especially after McCain has chosen Sara Palin as his VP pick
The poly shapefile shows predicted storm surge of five ft or more than a normal tide due to tropical storm Hannah's landfall along South and North Carolina coasts. The data is based on NOAA's 6 AM forecast on 5th Sept, 2008, generated by NOAA's SLOSH model (Sea, Lakes, and Onverland surge due to Hurricanes). http://www.nhc.noaa.gov/HAW2/english/storm_surge.shtml Search elsewhere on Finder! an updated storm surge shapefile with keyword "Hannah"
NOAA, Predicted Hannah storm surge along Carolinas, 12.00 Hrs Sep 05 2008, South-East USA The poly shapefile shows predicted storm surge of five ft or more than a normal tide due to tropical storm Hannah's landfall along South and North Carolina coasts. The data is based on NOAA's nOON forecast on 5th Sept, 2008, generated by NOAA's SLOSH model (Sea, Lakes, and Onverland surge due to Hurricanes). http://www.nhc.noaa.gov/HAW2/english/storm_surge.shtml Elsewhere on Finder! an updated storm surge shapefile with keyword "Hannah", as well as updated storm track.
The line shapefile is based on the predicted strom track of tropical storm/hurricane Haanah as of 5th Sept, 2008. Look for elsewhere on Finder! updated strom track shapefiles with keyword "Hannah"
The line shapefile is based on the predicted strom track of tropical storm/hurricane Haanah as of 5th Sept, 2008. Look for elsewhere on Finder! updated strom track shapefiles with keyword "Hannah"
The line shapefile is based on the predicted strom track of tropical storm/hurricane Haanah as of 5th Sept, 2008. Look for elsewhere on Finder! updated strom track shapefiles with keyword "Hannah"
NOAA, Hannah's predicted 5-day storm track as of 05 Sep 2008 21:00 Hrs, USA, Sep 2008 The line shapefile is based on the predicted strom track of tropical storm/hurricane Haanah as of 5th Sept, 2008. The time listed in the title is UTC time. Look for elsewhere on Finder! updated strom track shapefiles with keyword "Hannah"
The NHC official 3/5 day forecast cone of uncertainty in shapefile format is an experimental products that the National Hurricane Center is testing during the 2008 hurricane season. The cone represents the probable track of the center of a tropical cyclone, and is formed by enclosing the area swept out by a set of circles along the forecast track (at 12, 24, 36 hours, etc). The size of each circle is set so that two-thirds of historical official forecast errors over a 5-year sample fall within the circle. Based on forecasts over the previous 5 years, the entire track of a tropical cyclone can be expected to remain within the cone roughly 60-70% of the time. It is important to note that the area affected by a tropical cyclone can extend well beyond the confines of the cone enclosing the most likely track area of the center.
The NHC official 3/5 day forecast cone of uncertainty in shapefile format is an experimental products that the National Hurricane Center is testing during the 2008 hurricane season. The cone represents the probable track of the center of a tropical cyclone, and is formed by enclosing the area swept out by a set of circles along the forecast track (at 12, 24, 36 hours, etc). The size of each circle is set so that two-thirds of historical official forecast errors over a 5-year sample fall within the circle. Based on forecasts over the previous 5 years, the entire track of a tropical cyclone can be expected to remain within the cone roughly 60-70% of the time. It is important to note that the area affected by a tropical cyclone can extend well beyond the confines of the cone enclosing the most likely track area of the center.
Ohio school district data with education variables
Tropical storm Hannah was mainly a rain-maker for the Carolinas and Mid-Atlantic states, after it made landfall on the border of North and South Carolina on 5th Sept, 2008 and raced rapidly across mid-Atlantic states dumping huge amount of rains and flooding many low-lying areas in Northern Virginia and Maryland. The point shape file shows rain-totals for 6th Sept, 2008.
The poly shapefile shows political boundaries of 15 provinces and populations in Cuba.
The large-poly shapefile shows forecast of high wind probabilities associated tropical storm/hurricane Ike, issued at 00 hrs on 9/8/8 and valid for next 120 hours. The data was downloaded from NOAA's NDFD database and converted into shapefile using NOAA's degrib decoder.
This datasets displays the locations of all recorded earthquakes of a magnitude of 1 or greater around the world from the period of 9.1.08 to 9.8.08. The findings are from the US Geological Survey (USGS). Earthquake information is extracted from a merged catalog of earthquakes located by the USGS and contributing networks. Earthquakes will be broadcast within a few minutes for California events and within 30-minutes for world-wide events.
This coverage represents year MODIS fire detections for the 7 day period specified for the geographic area covering the conterminous United States, Alaska, Hawaii, Canada and northern Mexico. The detections are obtained using both TERRA MODIS and AQUA MODIS data are collected and processed as a cooperative effort between the USDA Forest Service Remote Sensing Application Center, NASA-Goddard Space Flight Center and the University of Maryland. These fire detection data are collected for the USDA Forest Service MODIS Active Fire Mapping Program (http://activefiremaps.fs.fed.us). These data are intended to provide a synoptic view of active fires for the past and present over the specified time period. These data are collected at a spatial resolution of 1 kilometer and therefore are only intended for geographic display and analysis at the national and regional levels. No responsibility is assumed by the USDA Forest Service in the use of these data.
This dataset is about Age. It shows the Usual Resident Population of all residents the Boroughs of London that are between the ages of 18 and 30. It also gives the percentage that this age range makes up as a part of the total population.
This dataset provides model based Income Estimates for Households, in pounds sterling. The Office for National Statistics (ONS) has produced a third set of model-based income estimates for England and Wales. These estimates were produced to fulfil users requirements for more up to date income information at the local level, on boundaries consistent with the 2001 Census. This data specifically covers all of the boroughs that make up Greater London.
The Tropical Cyclone Storm Surge Probabilities data shows the probability, in percent, of a specified storm surge occurring during the forecast period indicated. The product is based upon an ensemble of Sea, Lake, and Overland Surge from Hurricanes (SLOSH) model runs using the National Hurricane Center (NHC) official advisory and accounts for track, size, and intensity errors based on historical errors. The Tropical Cyclone Storm Surge Probabilities in shapefile format is an experimental products that the National Hurricane Center is testing during the 2008 hurricane season. The data is intended to provide the emergency management community; federal, state, and local government agencies; media; maritime interests; and the general public with information that enhances their ability to make preparedness decisions specific to their own situations with regards to storm surge.
This dataset is about Population Density. It shows the Usual Resident Population and the size of the area in hectares. It also shows the density (number of persons usually resident per hectare). The area covered is all the boroughs with Greater London.
This dataset is about Hours Worked. It covers all people aged 16 to 74 in employment, giving information split by males and females.. The data includes Average (mean) hours worked by both males and females in each borough of London.
This dataset displays reported incidents of hail two inches or greater in diameter. This data is referenced by longitude and latitude coordinates. This data is available through NOAA and the National Weather Service. This shapefile is provided as part of the Severe Weather report. Severe weather report data is currently organized into graphical user friendly formats and in interrogation programs. An existing program called SeverePlot v2.0 (Hart 1993), is a graphical and tablebased software package that is PC-based and examines attributes, or specific information, of a portion of the United States archived severe weather database. The implementation of Geographic Information Systems (GIS) into mainstream meteorology tasks has been increasing in recent years. SVRGIS is a GIS-based methodology developed at Ball State University that is based on a similar principle to SeverePlots severe reports graphical database. In addition to SeverePlots capabilities, the GIS user can access more advanced spatial and statistical tools which provide the user with data querying (data characteristic sorting) capabilities.
This dataset is about Hours Worked. It covers all people aged 16 to 74 working in London. The data includes numbers and percentages for full-time workers who worked: 38 to 48 hours, 49 to 59 hours, and 60 hours and over.
This dataset displays reported incidents of hail for the year 2006. This data is referenced by longitude and latitude coordinates. This data is available through NOAA and the National Weather Service. This shapefile is provided as part of the Severe Weather report. Severe weather report data is currently organized into graphical user friendly formats and in interrogation programs. An existing program called SeverePlot v2.0 (Hart 1993), is a graphical and tablebased software package that is PC-based and examines attributes, or specific information, of a portion of the United States archived severe weather database. The implementation of Geographic Information Systems (GIS) into mainstream meteorology tasks has been increasing in recent years. SVRGIS is a GIS-based methodology developed at Ball State University that is based on a similar principle to SeverePlots severe reports graphical database. In addition to SeverePlots capabilities, the GIS user can access more advanced spatial and statistical tools which provide the user with data querying (data characteristic sorting) capabilities.
This dataset is about Socio-economic Classification. It shows the usual resident population aged 16 to 74 by their socio-economic classification. The National Statistics Socio-economic Classification (NS-SeC) was introduced by the Government to replace Social Class based on Occupation (also known as the Registrar General's Social Class) and Socio-Economic Groups (SEG).
This dataset displays reported tornado liftoffs. This data is referenced by longitude and latitude coordinates. This data is available through NOAA and the National Weather Service. This shapefile is provided as part of the Severe Weather report. Severe weather report data is currently organized into graphical user friendly formats and in interrogation programs. An existing program called SeverePlot v2.0 (Hart 1993), is a graphical and tablebased software package that is PC-based and examines attributes, or specific information, of a portion of the United States archived severe weather database. The implementation of Geographic Information Systems (GIS) into mainstream meteorology tasks has been increasing in recent years. SVRGIS is a GIS-based methodology developed at Ball State University that is based on a similar principle to SeverePlots severe reports graphical database. In addition to SeverePlots capabilities, the GIS user can access more advanced spatial and statistical tools which provide the user with data querying (data characteristic sorting) capabilities.
This dataset displays how many Tesco Express locations can be found within each borough of London. The locations were found using data from tesco.com.
This dataset shows the number of women between the ages of 18-50 by each state, as well as the total population of each state so that you can normalize by population. data was pulled from the US Census and includes census estimates for 2007.
This dataset displays reported tornado Touchdowns. This data is referenced by longitude and latitude coordinates. This data is available through NOAA and the National Weather Service. This shapefile is provided as part of the Severe Weather report. Severe weather report data is currently organized into graphical user friendly formats and in interrogation programs. An existing program called SeverePlot v2.0 (Hart 1993), is a graphical and tablebased software package that is PC-based and examines attributes, or specific information, of a portion of the United States archived severe weather database. The implementation of Geographic Information Systems (GIS) into mainstream meteorology tasks has been increasing in recent years. SVRGIS is a GIS-based methodology developed at Ball State University that is based on a similar principle to SeverePlots severe reports graphical database. In addition to SeverePlots capabilities, the GIS user can access more advanced spatial and statistical tools which provide the user with data querying (data characteristic sorting) capabilities.
This dataset displays reported tornado tracks throughout the continental USA. This data is available through NOAA and the National Weather Service. This shapefile is provided as part of the Severe Weather report. Severe weather report data is currently organized into graphical user friendly formats and in interrogation programs. An existing program called SeverePlot v2.0 (Hart 1993), is a graphical and tablebased software package that is PC-based and examines attributes, or specific information, of a portion of the United States archived severe weather database. The implementation of Geographic Information Systems (GIS) into mainstream meteorology tasks has been increasing in recent years. SVRGIS is a GIS-based methodology developed at Ball State University that is based on a similar principle to SeverePlots severe reports graphical database. In addition to SeverePlots capabilities, the GIS user can access more advanced spatial and statistical tools which provide the user with data querying (data characteristic sorting) capabilities.
This dataset displays reported wind speeds of 65 knots or greater. This data is referenced by longitude and latitude coordinates. This data is available through NOAA and the National Weather Service. This shapefile is provided as part of the Severe Weather report. Severe weather report data is currently organized into graphical user friendly formats and in interrogation programs. An existing program called SeverePlot v2.0 (Hart 1993), is a graphical and tablebased software package that is PC-based and examines attributes, or specific information, of a portion of the United States archived severe weather database. The implementation of Geographic Information Systems (GIS) into mainstream meteorology tasks has been increasing in recent years. SVRGIS is a GIS-based methodology developed at Ball State University that is based on a similar principle to SeverePlots severe reports graphical database. In addition to SeverePlots capabilities, the GIS user can access more advanced spatial and statistical tools which provide the user with data querying (data characteristic sorting) capabilities.
This dataset contains the household and village details of the District Profiles that are part of the Census of India 2001. It provides information if homes are temporary or permanent and also described information on availability of amenities in villages such as electricity, type of roads and medical care.
Demographic data for the Republic of Iran in 2006- 2007
This dataset shows likely voter turnout for women from the ages of 18-50. to get these populations i used 2007 census estimates and voting and registration information from the 2006 elections by single age and applied the percentage vote to each individual age from 18-50 for each individual state. I would assume that the presidential voting turnout would be better than the 2006 turnout, but those are the numbers i used.
This dataset contains and general population aspects of the District Profiles that are part of the Census of India 2001. It includes population by gender, age groups and Scheduled Caste Population.
This dataset contains the education and literacy aspects of the District Profiles that are part of the Census of India 2001. Literacy by gender, education facilities by village, and levels of education are included.
This dataset contains the worker aspects of the District Profiles that are part of the Census of India 2001. It provides the population of workers, no-workers, and marginal workers.
This dataset has voter turn out data, by state for the United states. Data includes margin of error for each cataegory and has demographics for total population, civilian population, 2007 census estimates, along with 2006 numbers, and populations of voting aged individuals (18 and up). I also added a field for Electoral College votes so that analysis can be done on that as well.
The data set for these maps includes arcs, polygons, and labels that outline and describe the general geologic age and geophysical fields of Bangladesh. Political boundaries are provided to show the general location of administrative regions and state boundaries. Major base topographic data like cities, rivers, etc. were derived from the same paper map source as the geology.
This coverage includes arcs, polygons and polygon labels that describe U.S. Geological Survey defined geologic provinces of Southeast Asia (Brunei, Indonesia, Cambodia, Laos, Malaysia, Papua New Guinea, Philippines, Singapore, Thailand and Vietnam; and parts of Australia, China and Taiwan). Each province has a set of geologic characteristics distinguishing it from surrounding provinces. These characteristics may include the dominant lithologies, the age of the strata, and the structural style. Some provinces include multiple genetically-related basins. Offshore province boundaries are defined by the 2000 meter bathymetric contour.
The spatial distribution and disposition of known wells is critical to analyze both subsalt and suprasalt petroleum systems in the Afghan-Tajik and Amu Darya basins.
As tropical storm Ike enters Gulf of Mexico, (GOM) as a weak category 1 hurricane with sustained winds of 85 miles, after causing extensive damage across Haiti and Cuba, it may regain its strength to become a category 3 hurricane. NOAA's periodic forecasts show it charting a course across the GOM and making eventual landfall in Southern Texas coast near Corpus Christi sometime between Fri and Sat. The poly shapefile shows probabilities of occurrence of five foot or more storm surge along the Gulf Coast. The data for the 5 AM, 10th Sept, 2008 forecast is from National Digital Forecast Database (NDFD) of NOAA and is derived using NOAA's degrib decoder.
This data was obtained by taking the number of Tesco Express locations and dividing it by the total amount of sq hectares per borough in London. This produces a number that I like to call Tesco Express Density. Basically this number shows the rate of Tesco Express locations by 1 sq hectare. The higher the rate the more Tesco Express locations within the area of the borough.
This dataset has data on Number of Family Units by number of children under the age of fifteen throughout towns in Ireland that have a population of over 1000. The data includes both number and percentages for the following: family units with 1 child, 2 children, 3 children, 4 children, and 5 or more children. The towns have been geolocated by their lat/lon position. For more info about the data go to cso.ie/census.
This data set provides information about the Air Quality Index (AQI). The AQI is an index for reporting how clean or polluted the air is and the associated health risks. Data in this set are given in number of days that the AQI fell within a certain range (good - hazardous). This data also provides information on which pollutants were in the air (O3, CO, SO2, etc). All data is given on the county level for the United States from 2001 to 2006. Data can be seen for earlier years and all of this data can be found at the EPAs website . This dataset can be used to see which areas have the poorest or best air quality, which can be useful for a number of industries, from real estate to health care and insurance.
This dataset has data on Number of Family Units by number of children throughout towns in Ireland that have a population of over 1000. The data includes both number and percentages for the following: family units with 1 child, 2 children, 3 children, 4 children, and 5 or more children. The towns have been geolocated by their lat/lon position. For more info about the data go to cso.ie/census.
This dataset shows predicted lat/lon locations of the tropical Storm/Hurricane Ike as it currently rolls through the Caribbean on 9.10.2008. The data displays the predicted lat/lon, the predicted date and time, and the predicted wind speed in knots. The predicted locations are predictions from 9.10.2008 till 9.15.2008. The predictions come from the National Hurricane Service division at the National Weather Service. The path shows that Ike is headed toward the Gulf of Mexico and the SE USA. For more information on changing forecasts visit the National Hurricane Center at nhc.noaa.gov/index.shtml
This dataset provided the Polls available in states after or during the republican convention and compared the numbers to the latest poll for that state before the convention. Values of -1 represent no value.
Housing units by Emirate
The poly shapefile shows forecast of storm surge of five foot of more than the typical tide-levels along Gulf Coast when Ike makes its landfall sometime between Friday and Saturday in Texas. Over next 24 hours, Ike is expected to gain strength to become a dangerous category 4 hurricane. Look for forecast of Ike's storm track over the next several hours on Finder! National Hurricane Center (NHC) forecast based on SLOSH (Sea, Lake and Overland Surge due to Hurricane) model and is valid for 77 hours between 11 PM EDT on Sept 10, 2008 to 4 PM EDT on 14th Sept, 2008. Look for updates on Finder!
This dataset has data on the number of couples that do not have children throughout towns in Ireland that have a population of over 1000. The towns have been geolocated by their lat/lon position. For more info about the data go to cso.ie/census.
The poly shapefile shows forecast of storm surge of five foot of more than the typical tide-levels along Gulf Coast when Ike makes its landfall sometime between Friday and Saturday in Texas. Over next 24 hours, Ike is expected to gain strength to become a dangerous category 4 hurricane. Look for forecast of Ike's storm track over the next several hours on Finder! National Hurricane Center (NHC) forecast based on SLOSH (Sea, Lake and Overland Surge due to Hurricane) model and is valid for 77 hours between 5 AM EDT on Sept 11, 2008 to 10 PM EDT on 14th Sept, 2008. Look for updates on Finder!
The large-poly shapefile shows forecast of high wind probabilities associated tropical storm/hurricane Ike, issued at 00 hrs on 9/11/08 and valid for next 120 hours. The data was downloaded from NOAA's NDFD database and converted into shapefile using NOAA's degrib decoder.
This data shows the correlation between literacy and the economic participation rate in Iran. The attributes also shows the proximity of the deviation from the projected mean of literacy.
This data shows the the deforestation in Brazil from 1985-2005.
This dataset displays different predicted wave heights at an assortment of buoys located throughout the Gulf of Mexico. The heights are given in both meters and feet. Feet measurements were obtained by multiplying the meters measurement by 3.2808399 (standard conversion rate). The data gives an update every 6 hours from 1800 hours starting today on the 11th of September, 2008 until 1800 hours on the 15th of September, 2008. This is the current time that Hurricane Ike is predicted to sweep through the Gulf of Mexico as it approaches land in Texas. It also gives information on when the wave height is predicted to be the highest at the buoy. The wave heights were obtained from the National Data Buoy Center which is a part of NOAA. For more information visit ndbc.noaa.gov.
The poly shapefile shows forecast of storm surge of five foot of more than the typical tide-levels along Gulf Coast when Ike makes its landfall sometime between Friday and Saturday in Texas. Over next 24 hours, Ike is expected to gain strength to become a dangerous category 2 to 3 hurricane. Look for forecast of Ike's storm track over the next several hours on Finder! National Hurricane Center (NHC) forecast based on SLOSH (Sea, Lake and Overland Surge due to Hurricane) model and is valid for 77 hours between 05 PM EDT on Sept 10, 2008 to 10 PM EDT on 14th Sept, 2008. Look for updates on Finder!
The poly shapefile shows forecast of storm surge of five foot of more than the typical tide-levels along Gulf Coast when Ike makes its landfall sometime between Friday and Saturday in Texas. Over next 24 hours, Ike is expected to gain strength to become a dangerous category 2 to 3 hurricane. Look for forecast of Ike's storm track over the next several hours on Finder! National Hurricane Center (NHC) forecast based on SLOSH (Sea, Lake and Overland Surge due to Hurricane) model and is valid for 77 hours between 00 Hrs EDT on Sept 12, 2008 to 00 Hrs EDT on 15th Sept, 2008. Look for updates on Finder!
The poly shapefile shows forecast of storm surge of five foot of more than the typical tide-levels along Gulf Coast when Ike makes its landfall sometime between Friday and Saturday in Texas. Over next 24 hours, Ike is expected to gain strength to become a dangerous category 2 to 3 hurricane. Look for forecast of Ike's storm track over the next several hours on Finder! National Hurricane Center (NHC) forecast based on SLOSH (Sea, Lake and Overland Surge due to Hurricane) model and is valid for 77 hours between 05 Hrs EDT on Sept 12, 2008 to 10AM EDT on 15th Sept, 2008. Look for updates on Finder!
This dataset displays the inmate populations for all the Federal Prisons throughout the United States on 9.11.08. This weekly Population Report can be found on the Bureau of Prisons website at bop.gov. These facilities are positioned by their lat/lon and this dataset is updated on a weekly basis.
The large-poly shapefile shows forecast of high wind probabilities associated tropical storm/hurricane Ike, issued at 00 hrs on 9/12/8 and valid for next 120 hours. The data was downloaded from NOAA's NDFD database and converted into shapefile using NOAA's degrib decoder.
This dataset comes from the NOAA, The National Oceanic and Atmospheric Administration (NOAA) is a federal agency focused on the condition of the oceans and the atmosphere. this dataset shows the forecast for precipitation in the United States for the 5 days following september 12th, 2008. this includes rainfall from Hurricane Ike
Galveston County Evacuation Pick Up Points This is a reminder to citizens who need assistance with evacuation. Now is the time to get to the pickup points located around the County. The pickup points are: Bacliff Community Center 4500 10th Street Bacliff, TX 77518 Dickinson Community Center 2417 Hwy 3 Dickinson, TX 77539 Hitchcock Library 8005 Barry Avenue Hitchcock, TX 77563 Crystal Beach Annex 941 Noble Carl Drive Crystal Beach, TX 77650 Persons boarding the buses at the Crystal Beach Annex will be transported to the Island Community Center in Galveston to board buses bound for Austin shelters. All other pickup sites will be transported to the Doyle Center in Texas City to board buses headed to Austin shelters.
The NHC official 3/5 day forecast cone of uncertainty in shapefile format is an experimental products that the National Hurricane Center is testing during the 2008 hurricane season. The cone represents the probable track of the center of a tropical cyclone, and is formed by enclosing the area swept out by a set of circles along the forecast track (at 12, 24, 36 hours, etc). The size of each circle is set so that two-thirds of historical official forecast errors over a 5-year sample fall within the circle. Based on forecasts over the previous 5 years, the entire track of a tropical cyclone can be expected to remain within the cone roughly 60-70% of the time. It is important to note that the area affected by a tropical cyclone can extend well beyond the confines of the cone enclosing the most likely track area of the center.
The point shapefile based on NDFD (National Digital Forecast Database) forecst of the windspeed and direction when Ike makes landfall around 00 hrs on 13th Sept, 2008 (+/- 1 hour) near Galvestan, Texas. NDFD produced forecast for the lower 48 states. The data for wind speed and direction was separately extracted using NDFD decoder program for the Gulf state regions and then joined together to generate the point shapefile.
In an effort to ensure a more orderly evacuation of the Galveston-Houston area when a major hurricane approaches, Galveston, Brazoria and Harris counties along with the City of Houston have adopted a zip code evacuation plan for Hurricane Season. The four zip code zones, which generally correspond to hurricane storm surge risk areas, begin along the coast and continue inland toward the greater Houston area, with the coastal zone evacuating first, and inland zones evacuating in succession until all coastal residents have evacuated. The intent of the zip code zone plan is to ease traffic congestion and assist residents of low-lying portions of Galveston, Brazoria and Harris counties to evacuate before those outside the risk areas enter the roadways. The zip code zones are labeled Zip Zone Coastal, Zip Zone A, Zip Zone B and Zip Zone C. Zip Zone Coastal encompasses the zip codes utilized on Galveston Island, Bolivar Peninsula, and portions of coastal Brazoria County including Freeport and Surfside. This is the most threatened geographic area and residents of these zip codes will evacuate first when a hurricane approaches.
Abstract: The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMs) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to the earth's surface using the Universal Transverse Mercator (UTM) projection and a zonal coordinate system (units in meters). Specifications for the horizontal control of Q3 Flood Data files are consistent with those required for mapping at a scale of 1:24000. Purpose: The FIRM is the basis for floodplain management, mitigation, and insurance activities for the National Flood Insurance Program (NFIP). Insurance applications include enforcement of the mandatory purchase requirement of the Flood Disaster Protection Act, which ""requires the purchase of flood insurance by property owners who are being assisted by Federal programs or by Federally supervised, regulated, or insured agencies or institutions in the acquisition or improvement of land facilities located or to be located in identified areas having special flood hazards"" (Section 2 (b) (4) of the 1973 Flood Disaster Protection Act). In addition to the identification of Special Flood Hazard Areas (SFHAs), the risk zones shown on the FIRMs are the basis for the establishment of premium rates for flood insurance coverage offered through the NFIP. Q3 Flood Data files convey certain key features from the existing hard copy FIRM. Edge-matching errors, overlaps and deficiencies in coverage, and similar problems are not corrected during digitizing or post-processing. The Q3 Flood Data files are intended to provide users with automated flood risk data that may be used to locate SFHAs. More detailed information may be obtained from the paper FIRM.
The poly shapefile shows forecast of storm surge of five foot of more than the typical tide-levels along Gulf Coast when Ike makes its landfall sometime between Friday and Saturday in Texas. Over next 24 hours, Ike is expected to gain strength to become a dangerous category 2 to 3 hurricane. Look for forecast of Ike's storm track over the next several hours on Finder! National Hurricane Center (NHC) forecast based on SLOSH (Sea, Lake and Overland Surge due to Hurricane) model and is valid for 77 hours between 11 Hrs EDT on Sept 12, 2008 to 17 Hrs EDT on 15th Sept, 2008. Look for updates on Finder!
"Abstract: The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMs) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to the earth's surface using the Universal Transverse Mercator (UTM) projection and a zonal coordinate system (units in meters). Specifications for the horizontal control of Q3 Flood Data files are consistent with those required for mapping at a scale of 1:24000. Purpose: The FIRM is the basis for floodplain management, mitigation, and insurance activities for the National Flood Insurance Program (NFIP). Insurance applications include enforcement of the mandatory purchase requirement of the Flood Disaster Protection Act, which ""requires the purchase of flood insurance by property owners who are being assisted by Federal programs or by Federally supervised, regulated, or insured agencies or institutions in the acquisition or improvement of land facilities located or to be located in identified areas having special flood hazards"" (Section 2 (b) (4) of the 1973 Flood Disaster Protection Act). In addition to the identification of Special Flood Hazard Areas (SFHAs), the risk zones shown on the FIRMs are the basis for the establishment of premium rates for flood insurance coverage offered through the NFIP. Q3 Flood Data files convey certain key features from the existing hard copy FIRM. Edge-matching errors, overlaps and deficiencies in coverage, and similar problems are not corrected during digitizing or post-processing. The Q3 Flood Data files are intended to provide users with automated flood risk data that may be used to locate SFHAs. More detailed information may be obtained from the paper FIRM."
Abstract: The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMs) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to the earth's surface using the Universal Transverse Mercator (UTM) projection and a zonal coordinate system (units in meters). Specifications for the horizontal control of Q3 Flood Data files are consistent with those required for mapping at a scale of 1:24000. Purpose: The FIRM is the basis for floodplain management, mitigation, and insurance activities for the National Flood Insurance Program (NFIP). Insurance applications include enforcement of the mandatory purchase requirement of the Flood Disaster Protection Act, which ""requires the purchase of flood insurance by property owners who are being assisted by Federal programs or by Federally supervised, regulated, or insured agencies or institutions in the acquisition or improvement of land facilities located or to be located in identified areas having special flood hazards"" (Section 2 (b) (4) of the 1973 Flood Disaster Protection Act). In addition to the identification of Special Flood Hazard Areas (SFHAs), the risk zones shown on the FIRMs are the basis for the establishment of premium rates for flood insurance coverage offered through the NFIP. Q3 Flood Data files convey certain key features from the existing hard copy FIRM. Edge-matching errors, overlaps and deficiencies in coverage, and similar problems are not corrected during digitizing or post-processing. The Q3 Flood Data files are intended to provide users with automated flood risk data that may be used to locate SFHAs. More detailed information may be obtained from the paper FIRM.
Abstract: The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMs) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to the earth's surface using the Universal Transverse Mercator (UTM) projection and a zonal coordinate system (units in meters). Specifications for the horizontal control of Q3 Flood Data files are consistent with those required for mapping at a scale of 1:24000. Purpose: The FIRM is the basis for floodplain management, mitigation, and insurance activities for the National Flood Insurance Program (NFIP). Insurance applications include enforcement of the mandatory purchase requirement of the Flood Disaster Protection Act, which ""requires the purchase of flood insurance by property owners who are being assisted by Federal programs or by Federally supervised, regulated, or insured agencies or institutions in the acquisition or improvement of land facilities located or to be located in identified areas having special flood hazards"" (Section 2 (b) (4) of the 1973 Flood Disaster Protection Act). In addition to the identification of Special Flood Hazard Areas (SFHAs), the risk zones shown on the FIRMs are the basis for the establishment of premium rates for flood insurance coverage offered through the NFIP. Q3 Flood Data files convey certain key features from the existing hard copy FIRM. Edge-matching errors, overlaps and deficiencies in coverage, and similar problems are not corrected during digitizing or post-processing. The Q3 Flood Data files are intended to provide users with automated flood risk data that may be used to locate SFHAs. More detailed information may be obtained from the paper FIRM.
Abstract: The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMs) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to the earth's surface using the Universal Transverse Mercator (UTM) projection and a zonal coordinate system (units in meters). Specifications for the horizontal control of Q3 Flood Data files are consistent with those required for mapping at a scale of 1:24000. Purpose: The FIRM is the basis for floodplain management, mitigation, and insurance activities for the National Flood Insurance Program (NFIP). Insurance applications include enforcement of the mandatory purchase requirement of the Flood Disaster Protection Act, which ""requires the purchase of flood insurance by property owners who are being assisted by Federal programs or by Federally supervised, regulated, or insured agencies or institutions in the acquisition or improvement of land facilities located or to be located in identified areas having special flood hazards"" (Section 2 (b) (4) of the 1973 Flood Disaster Protection Act). In addition to the identification of Special Flood Hazard Areas (SFHAs), the risk zones shown on the FIRMs are the basis for the establishment of premium rates for flood insurance coverage offered through the NFIP. Q3 Flood Data files convey certain key features from the existing hard copy FIRM. Edge-matching errors, overlaps and deficiencies in coverage, and similar problems are not corrected during digitizing or post-processing. The Q3 Flood Data files are intended to provide users with automated flood risk data that may be used to locate SFHAs. More detailed information may be obtained from the paper FIRM.
This dataset comes from the NOAA, The National Oceanic and Atmospheric Administration (NOAA) is a federal agency focused on the condition of the oceans and the atmosphere. this dataset shows the forecast for precipitation in the United States for the 5 days following september 12th, 2008. this includes rainfall from Hurricane Ike
Abstract: The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMs) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to the earth's surface using the Universal Transverse Mercator (UTM) projection and a zonal coordinate system (units in meters). Specifications for the horizontal control of Q3 Flood Data files are consistent with those required for mapping at a scale of 1:24000. Purpose: The FIRM is the basis for floodplain management, mitigation, and insurance activities for the National Flood Insurance Program (NFIP). Insurance applications include enforcement of the mandatory purchase requirement of the Flood Disaster Protection Act, which ""requires the purchase of flood insurance by property owners who are being assisted by Federal programs or by Federally supervised, regulated, or insured agencies or institutions in the acquisition or improvement of land facilities located or to be located in identified areas having special flood hazards"" (Section 2 (b) (4) of the 1973 Flood Disaster Protection Act). In addition to the identification of Special Flood Hazard Areas (SFHAs), the risk zones shown on the FIRMs are the basis for the establishment of premium rates for flood insurance coverage offered through the NFIP. Q3 Flood Data files convey certain key features from the existing hard copy FIRM. Edge-matching errors, overlaps and deficiencies in coverage, and similar problems are not corrected during digitizing or post-processing. The Q3 Flood Data files are intended to provide users with automated flood risk data that may be used to locate SFHAs. More detailed information may be obtained from the paper FIRM.
Abstract: The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMs) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to the earth's surface using the Universal Transverse Mercator (UTM) projection and a zonal coordinate system (units in meters). Specifications for the horizontal control of Q3 Flood Data files are consistent with those required for mapping at a scale of 1:24000. Purpose: The FIRM is the basis for floodplain management, mitigation, and insurance activities for the National Flood Insurance Program (NFIP). Insurance applications include enforcement of the mandatory purchase requirement of the Flood Disaster Protection Act, which ""requires the purchase of flood insurance by property owners who are being assisted by Federal programs or by Federally supervised, regulated, or insured agencies or institutions in the acquisition or improvement of land facilities located or to be located in identified areas having special flood hazards"" (Section 2 (b) (4) of the 1973 Flood Disaster Protection Act). In addition to the identification of Special Flood Hazard Areas (SFHAs), the risk zones shown on the FIRMs are the basis for the establishment of premium rates for flood insurance coverage offered through the NFIP. Q3 Flood Data files convey certain key features from the existing hard copy FIRM. Edge-matching errors, overlaps and deficiencies in coverage, and similar problems are not corrected during digitizing or post-processing. The Q3 Flood Data files are intended to provide users with automated flood risk data that may be used to locate SFHAs. More detailed information may be obtained from the paper FIRM.
Abstract: The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMs) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to the earth's surface using the Universal Transverse Mercator (UTM) projection and a zonal coordinate system (units in meters). Specifications for the horizontal control of Q3 Flood Data files are consistent with those required for mapping at a scale of 1:24000. Purpose: The FIRM is the basis for floodplain management, mitigation, and insurance activities for the National Flood Insurance Program (NFIP). Insurance applications include enforcement of the mandatory purchase requirement of the Flood Disaster Protection Act, which ""requires the purchase of flood insurance by property owners who are being assisted by Federal programs or by Federally supervised, regulated, or insured agencies or institutions in the acquisition or improvement of land facilities located or to be located in identified areas having special flood hazards"" (Section 2 (b) (4) of the 1973 Flood Disaster Protection Act). In addition to the identification of Special Flood Hazard Areas (SFHAs), the risk zones shown on the FIRMs are the basis for the establishment of premium rates for flood insurance coverage offered through the NFIP. Q3 Flood Data files convey certain key features from the existing hard copy FIRM. Edge-matching errors, overlaps and deficiencies in coverage, and similar problems are not corrected during digitizing or post-processing. The Q3 Flood Data files are intended to provide users with automated flood risk data that may be used to locate SFHAs. More detailed information may be obtained from the paper FIRM.
Abstract: The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMs) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to the earth's surface using the Universal Transverse Mercator (UTM) projection and a zonal coordinate system (units in meters). Specifications for the horizontal control of Q3 Flood Data files are consistent with those required for mapping at a scale of 1:24000. Purpose: The FIRM is the basis for floodplain management, mitigation, and insurance activities for the National Flood Insurance Program (NFIP). Insurance applications include enforcement of the mandatory purchase requirement of the Flood Disaster Protection Act, which ""requires the purchase of flood insurance by property owners who are being assisted by Federal programs or by Federally supervised, regulated, or insured agencies or institutions in the acquisition or improvement of land facilities located or to be located in identified areas having special flood hazards"" (Section 2 (b) (4) of the 1973 Flood Disaster Protection Act). In addition to the identification of Special Flood Hazard Areas (SFHAs), the risk zones shown on the FIRMs are the basis for the establishment of premium rates for flood insurance coverage offered through the NFIP. Q3 Flood Data files convey certain key features from the existing hard copy FIRM. Edge-matching errors, overlaps and deficiencies in coverage, and similar problems are not corrected during digitizing or post-processing. The Q3 Flood Data files are intended to provide users with automated flood risk data that may be used to locate SFHAs. More detailed information may be obtained from the paper FIRM.
"Abstract: The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMs) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to the earth's surface using the Universal Transverse Mercator (UTM) projection and a zonal coordinate system (units in meters). Specifications for the horizontal control of Q3 Flood Data files are consistent with those required for mapping at a scale of 1:24000. Purpose: The FIRM is the basis for floodplain management, mitigation, and insurance activities for the National Flood Insurance Program (NFIP). Insurance applications include enforcement of the mandatory purchase requirement of the Flood Disaster Protection Act, which ""requires the purchase of flood insurance by property owners who are being assisted by Federal programs or by Federally supervised, regulated, or insured agencies or institutions in the acquisition or improvement of land facilities located or to be located in identified areas having special flood hazards"" (Section 2 (b) (4) of the 1973 Flood Disaster Protection Act). In addition to the identification of Special Flood Hazard Areas (SFHAs), the risk zones shown on the FIRMs are the basis for the establishment of premium rates for flood insurance coverage offered through the NFIP. Q3 Flood Data files convey certain key features from the existing hard copy FIRM. Edge-matching errors, overlaps and deficiencies in coverage, and similar problems are not corrected during digitizing or post-processing. The Q3 Flood Data files are intended to provide users with automated flood risk data that may be used to locate SFHAs. More detailed information may be obtained from the paper FIRM."
Abstract: The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMs) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to the earth's surface using the Universal Transverse Mercator (UTM) projection and a zonal coordinate system (units in meters). Specifications for the horizontal control of Q3 Flood Data files are consistent with those required for mapping at a scale of 1:24000. Purpose: The FIRM is the basis for floodplain management, mitigation, and insurance activities for the National Flood Insurance Program (NFIP). Insurance applications include enforcement of the mandatory purchase requirement of the Flood Disaster Protection Act, which ""requires the purchase of flood insurance by property owners who are being assisted by Federal programs or by Federally supervised, regulated, or insured agencies or institutions in the acquisition or improvement of land facilities located or to be located in identified areas having special flood hazards"" (Section 2 (b) (4) of the 1973 Flood Disaster Protection Act). In addition to the identification of Special Flood Hazard Areas (SFHAs), the risk zones shown on the FIRMs are the basis for the establishment of premium rates for flood insurance coverage offered through the NFIP. Q3 Flood Data files convey certain key features from the existing hard copy FIRM. Edge-matching errors, overlaps and deficiencies in coverage, and similar problems are not corrected during digitizing or post-processing. The Q3 Flood Data files are intended to provide users with automated flood risk data that may be used to locate SFHAs. More detailed information may be obtained from the paper FIRM.
Abstract: The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMs) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to the earth's surface using the Universal Transverse Mercator (UTM) projection and a zonal coordinate system (units in meters). Specifications for the horizontal control of Q3 Flood Data files are consistent with those required for mapping at a scale of 1:24000. Purpose: The FIRM is the basis for floodplain management, mitigation, and insurance activities for the National Flood Insurance Program (NFIP). Insurance applications include enforcement of the mandatory purchase requirement of the Flood Disaster Protection Act, which ""requires the purchase of flood insurance by property owners who are being assisted by Federal programs or by Federally supervised, regulated, or insured agencies or institutions in the acquisition or improvement of land facilities located or to be located in identified areas having special flood hazards"" (Section 2 (b) (4) of the 1973 Flood Disaster Protection Act). In addition to the identification of Special Flood Hazard Areas (SFHAs), the risk zones shown on the FIRMs are the basis for the establishment of premium rates for flood insurance coverage offered through the NFIP. Q3 Flood Data files convey certain key features from the existing hard copy FIRM. Edge-matching errors, overlaps and deficiencies in coverage, and similar problems are not corrected during digitizing or post-processing. The Q3 Flood Data files are intended to provide users with automated flood risk data that may be used to locate SFHAs. More detailed information may be obtained from the paper FIRM.
Abstract: The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMs) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to the earth's surface using the Universal Transverse Mercator (UTM) projection and a zonal coordinate system (units in meters). Specifications for the horizontal control of Q3 Flood Data files are consistent with those required for mapping at a scale of 1:24000. Purpose: The FIRM is the basis for floodplain management, mitigation, and insurance activities for the National Flood Insurance Program (NFIP). Insurance applications include enforcement of the mandatory purchase requirement of the Flood Disaster Protection Act, which ""requires the purchase of flood insurance by property owners who are being assisted by Federal programs or by Federally supervised, regulated, or insured agencies or institutions in the acquisition or improvement of land facilities located or to be located in identified areas having special flood hazards"" (Section 2 (b) (4) of the 1973 Flood Disaster Protection Act). In addition to the identification of Special Flood Hazard Areas (SFHAs), the risk zones shown on the FIRMs are the basis for the establishment of premium rates for flood insurance coverage offered through the NFIP. Q3 Flood Data files convey certain key features from the existing hard copy FIRM. Edge-matching errors, overlaps and deficiencies in coverage, and similar problems are not corrected during digitizing or post-processing. The Q3 Flood Data files are intended to provide users with automated flood risk data that may be used to locate SFHAs. More detailed information may be obtained from the paper FIRM.
Abstract: The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMs) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to the earth's surface using the Universal Transverse Mercator (UTM) projection and a zonal coordinate system (units in meters). Specifications for the horizontal control of Q3 Flood Data files are consistent with those required for mapping at a scale of 1:24000. Purpose: The FIRM is the basis for floodplain management, mitigation, and insurance activities for the National Flood Insurance Program (NFIP). Insurance applications include enforcement of the mandatory purchase requirement of the Flood Disaster Protection Act, which ""requires the purchase of flood insurance by property owners who are being assisted by Federal programs or by Federally supervised, regulated, or insured agencies or institutions in the acquisition or improvement of land facilities located or to be located in identified areas having special flood hazards"" (Section 2 (b) (4) of the 1973 Flood Disaster Protection Act). In addition to the identification of Special Flood Hazard Areas (SFHAs), the risk zones shown on the FIRMs are the basis for the establishment of premium rates for flood insurance coverage offered through the NFIP. Q3 Flood Data files convey certain key features from the existing hard copy FIRM. Edge-matching errors, overlaps and deficiencies in coverage, and similar problems are not corrected during digitizing or post-processing. The Q3 Flood Data files are intended to provide users with automated flood risk data that may be used to locate SFHAs. More detailed information may be obtained from the paper FIRM.
Abstract: The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMs) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to the earth's surface using the Universal Transverse Mercator (UTM) projection and a zonal coordinate system (units in meters). Specifications for the horizontal control of Q3 Flood Data files are consistent with those required for mapping at a scale of 1:24000. Purpose: The FIRM is the basis for floodplain management, mitigation, and insurance activities for the National Flood Insurance Program (NFIP). Insurance applications include enforcement of the mandatory purchase requirement of the Flood Disaster Protection Act, which ""requires the purchase of flood insurance by property owners who are being assisted by Federal programs or by Federally supervised, regulated, or insured agencies or institutions in the acquisition or improvement of land facilities located or to be located in identified areas having special flood hazards"" (Section 2 (b) (4) of the 1973 Flood Disaster Protection Act). In addition to the identification of Special Flood Hazard Areas (SFHAs), the risk zones shown on the FIRMs are the basis for the establishment of premium rates for flood insurance coverage offered through the NFIP. Q3 Flood Data files convey certain key features from the existing hard copy FIRM. Edge-matching errors, overlaps and deficiencies in coverage, and similar problems are not corrected during digitizing or post-processing. The Q3 Flood Data files are intended to provide users with automated flood risk data that may be used to locate SFHAs. More detailed information may be obtained from the paper FIRM.
Abstract: The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMs) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to the earth's surface using the Universal Transverse Mercator (UTM) projection and a zonal coordinate system (units in meters). Specifications for the horizontal control of Q3 Flood Data files are consistent with those required for mapping at a scale of 1:24000. Purpose: The FIRM is the basis for floodplain management, mitigation, and insurance activities for the National Flood Insurance Program (NFIP). Insurance applications include enforcement of the mandatory purchase requirement of the Flood Disaster Protection Act, which ""requires the purchase of flood insurance by property owners who are being assisted by Federal programs or by Federally supervised, regulated, or insured agencies or institutions in the acquisition or improvement of land facilities located or to be located in identified areas having special flood hazards"" (Section 2 (b) (4) of the 1973 Flood Disaster Protection Act). In addition to the identification of Special Flood Hazard Areas (SFHAs), the risk zones shown on the FIRMs are the basis for the establishment of premium rates for flood insurance coverage offered through the NFIP. Q3 Flood Data files convey certain key features from the existing hard copy FIRM. Edge-matching errors, overlaps and deficiencies in coverage, and similar problems are not corrected during digitizing or post-processing. The Q3 Flood Data files are intended to provide users with automated flood risk data that may be used to locate SFHAs. More detailed information may be obtained from the paper FIRM.
Abstract: The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMs) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to the earth's surface using the Universal Transverse Mercator (UTM) projection and a zonal coordinate system (units in meters). Specifications for the horizontal control of Q3 Flood Data files are consistent with those required for mapping at a scale of 1:24000. Purpose: The FIRM is the basis for floodplain management, mitigation, and insurance activities for the National Flood Insurance Program (NFIP). Insurance applications include enforcement of the mandatory purchase requirement of the Flood Disaster Protection Act, which ""requires the purchase of flood insurance by property owners who are being assisted by Federal programs or by Federally supervised, regulated, or insured agencies or institutions in the acquisition or improvement of land facilities located or to be located in identified areas having special flood hazards"" (Section 2 (b) (4) of the 1973 Flood Disaster Protection Act). In addition to the identification of Special Flood Hazard Areas (SFHAs), the risk zones shown on the FIRMs are the basis for the establishment of premium rates for flood insurance coverage offered through the NFIP. Q3 Flood Data files convey certain key features from the existing hard copy FIRM. Edge-matching errors, overlaps and deficiencies in coverage, and similar problems are not corrected during digitizing or post-processing. The Q3 Flood Data files are intended to provide users with automated flood risk data that may be used to locate SFHAs. More detailed information may be obtained from the paper FIRM.
Abstract: The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMs) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to the earth's surface using the Universal Transverse Mercator (UTM) projection and a zonal coordinate system (units in meters). Specifications for the horizontal control of Q3 Flood Data files are consistent with those required for mapping at a scale of 1:24000. Purpose: The FIRM is the basis for floodplain management, mitigation, and insurance activities for the National Flood Insurance Program (NFIP). Insurance applications include enforcement of the mandatory purchase requirement of the Flood Disaster Protection Act, which ""requires the purchase of flood insurance by property owners who are being assisted by Federal programs or by Federally supervised, regulated, or insured agencies or institutions in the acquisition or improvement of land facilities located or to be located in identified areas having special flood hazards"" (Section 2 (b) (4) of the 1973 Flood Disaster Protection Act). In addition to the identification of Special Flood Hazard Areas (SFHAs), the risk zones shown on the FIRMs are the basis for the establishment of premium rates for flood insurance coverage offered through the NFIP. Q3 Flood Data files convey certain key features from the existing hard copy FIRM. Edge-matching errors, overlaps and deficiencies in coverage, and similar problems are not corrected during digitizing or post-processing. The Q3 Flood Data files are intended to provide users with automated flood risk data that may be used to locate SFHAs. More detailed information may be obtained from the paper FIRM.
Abstract: The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMs) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to the earth's surface using the Universal Transverse Mercator (UTM) projection and a zonal coordinate system (units in meters). Specifications for the horizontal control of Q3 Flood Data files are consistent with those required for mapping at a scale of 1:24000. Purpose: The FIRM is the basis for floodplain management, mitigation, and insurance activities for the National Flood Insurance Program (NFIP). Insurance applications include enforcement of the mandatory purchase requirement of the Flood Disaster Protection Act, which ""requires the purchase of flood insurance by property owners who are being assisted by Federal programs or by Federally supervised, regulated, or insured agencies or institutions in the acquisition or improvement of land facilities located or to be located in identified areas having special flood hazards"" (Section 2 (b) (4) of the 1973 Flood Disaster Protection Act). In addition to the identification of Special Flood Hazard Areas (SFHAs), the risk zones shown on the FIRMs are the basis for the establishment of premium rates for flood insurance coverage offered through the NFIP. Q3 Flood Data files convey certain key features from the existing hard copy FIRM. Edge-matching errors, overlaps and deficiencies in coverage, and similar problems are not corrected during digitizing or post-processing. The Q3 Flood Data files are intended to provide users with automated flood risk data that may be used to locate SFHAs. More detailed information may be obtained from the paper FIRM.
Abstract: The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMs) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to the earth's surface using the Universal Transverse Mercator (UTM) projection and a zonal coordinate system (units in meters). Specifications for the horizontal control of Q3 Flood Data files are consistent with those required for mapping at a scale of 1:24000. Purpose: The FIRM is the basis for floodplain management, mitigation, and insurance activities for the National Flood Insurance Program (NFIP). Insurance applications include enforcement of the mandatory purchase requirement of the Flood Disaster Protection Act, which ""requires the purchase of flood insurance by property owners who are being assisted by Federal programs or by Federally supervised, regulated, or insured agencies or institutions in the acquisition or improvement of land facilities located or to be located in identified areas having special flood hazards"" (Section 2 (b) (4) of the 1973 Flood Disaster Protection Act). In addition to the identification of Special Flood Hazard Areas (SFHAs), the risk zones shown on the FIRMs are the basis for the establishment of premium rates for flood insurance coverage offered through the NFIP. Q3 Flood Data files convey certain key features from the existing hard copy FIRM. Edge-matching errors, overlaps and deficiencies in coverage, and similar problems are not corrected during digitizing or post-processing. The Q3 Flood Data files are intended to provide users with automated flood risk data that may be used to locate SFHAs. More detailed information may be obtained from the paper FIRM.
Abstract: The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMs) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to the earth's surface using the Universal Transverse Mercator (UTM) projection and a zonal coordinate system (units in meters). Specifications for the horizontal control of Q3 Flood Data files are consistent with those required for mapping at a scale of 1:24000. Purpose: The FIRM is the basis for floodplain management, mitigation, and insurance activities for the National Flood Insurance Program (NFIP). Insurance applications include enforcement of the mandatory purchase requirement of the Flood Disaster Protection Act, which ""requires the purchase of flood insurance by property owners who are being assisted by Federal programs or by Federally supervised, regulated, or insured agencies or institutions in the acquisition or improvement of land facilities located or to be located in identified areas having special flood hazards"" (Section 2 (b) (4) of the 1973 Flood Disaster Protection Act). In addition to the identification of Special Flood Hazard Areas (SFHAs), the risk zones shown on the FIRMs are the basis for the establishment of premium rates for flood insurance coverage offered through the NFIP. Q3 Flood Data files convey certain key features from the existing hard copy FIRM. Edge-matching errors, overlaps and deficiencies in coverage, and similar problems are not corrected during digitizing or post-processing. The Q3 Flood Data files are intended to provide users with automated flood risk data that may be used to locate SFHAs. More detailed information may be obtained from the paper FIRM.
This dataset shows the count of armed attacks throughout the middle east and asian countries over time. Data range is from the beginning of 2007 to the March of 2008. This data only counts the number of attacks, not the severity or success of any attacks.
The poly shapefile shows forecast of storm surge of five foot of more than the typical tide-levels along Gulf Coast when Ike makes its landfall in next several hours near Galvaston Texas. Look for forecast of Ike's storm track over the next several hours on Finder! National Hurricane Center (NHC) forecast based on SLOSH (Sea, Lake and Overland Surge due to Hurricane) model and is valid for 77 hours between 17 Hrs EDT on Sept 12, 2008 to 10PmM EDT on 15th Sept, 2008. Look for updates on Finder!
The point shapefile shows location of fire stations affected by Hurricane Ike's storm surge at landfall on Sep 13 2008. The data was extracted from FEMA's HAZUS-MH Hurricane and Flood model.
The point shapefile shows location of police stations affected by Hurricane Ike's storm surge at land-fall on Sep 13 2008. The data was extracted from FEMA's HAZUS-MH software.
The point shapefile shows locations of schools that may be affected by Hurricane Ike's storm surge at land-fall on Sep 13 2008. The data was extracted from FEMA's HAZUS-MH software.
The point shapefile shows locations of waste water plants affected by Hurricane Ike's storm surge at landfall on Sep 13 2008. The data was extracted from FEMA's HAZUS-MH Hurricane and Flood model.
The point shapefile shows location of Chemical plants affected by Hurricane Ike's storm surge at landfall on Sep 13 2008. The data was extracted from FEMA's HAZUS-MH Hurricane and Flood model.
The point shapefile shows location of Oil refineries affected by Hurricane Ike's storm surge at landfall on Sep 13 2008. The data was extracted from FEMA's HAZUS-MH Hurricane and Flood model.
The point shapefile shows locations of port facilities (piers etc) handling hazardous materials that may be affected by Hurricane Ike's storm surge at landfall on Sep 13 2008. The data was extracted from FEMA's HAZUS-MH Hurricane and Flood model.
The point shapefile shows Hurricane Ike one day rainfall totals for selected counties along gulf coast for 13th Sep, 2008. The data consisting of nearly quarter million locations for the lower 48 states US was obtained from AHPS of NOAA and then extracted for 23 counties in the Gulf States that were most affected by Hurricane Ike.
This coverage represents year MODIS fire detections for the 7 day period specified for the geographic area covering the conterminous United States, Alaska, Hawaii, Canada and northern Mexico. The detections are obtained using both TERRA MODIS and AQUA MODIS data are collected and processed as a cooperative effort between the USDA Forest Service Remote Sensing Application Center, NASA-Goddard Space Flight Center and the University of Maryland. These fire detection data are collected for the USDA Forest Service MODIS Active Fire Mapping Program (http://activefiremaps.fs.fed.us). These data are intended to provide a synoptic view of active fires for the past and present over the specified time period. These data are collected at a spatial resolution of 1 kilometer and therefore are only intended for geographic display and analysis at the national and regional levels. No responsibility is assumed by the USDA Forest Service in the use of these data.
This datasets displays the locations of all recorded earthquakes of a magnitude of 1 or greater around the world from the period of 9.8.08 to 9.15.08. The findings are from the US Geological Survey (USGS). Earthquake information is extracted from a merged catalog of earthquakes located by the USGS and contributing networks. Earthquakes will be broadcast within a few minutes for California events and within 30-minutes for world-wide events.
Wide-spread power outages were common after Ike made a landfall near Galventston, Texas on 13th Sept, 2008. As energy companies start restoring power gradually to the region hit by the storm, the information on outages is not easy to come by. The Center Point storm center website was found after a long search on web. They provide power outage maps and a table of summary information in pdf format. The data was scraped from the website and geocoded to make the shapefile. The poly shapefile shows number of power outages by zipcode in the Houston/Galvenston metro as of 15th Sept,2008 at 5:15 AM.
Wide-spread power outages were common after Ike made a landfall near Galventston, Texas on 13th Sept, 2008. As energy companies start restoring power gradually to the region hit by the storm, the information on outages is not easy to come by. The Entergyt storm center website was found after a long search on web. They provide power outage maps and a table of summary information in pdf format. The data was scraped from the website and geocoded to make the shapefile. The poly shapefile shows number of power outages by county in selected counties in Texas, Lousiana and Arkansas as of 15th Sept,2008 at 5:15 AM.
Afghanistan's population by 329 districts
This dataset has data on Number of Family Units and number of children throughout towns in Ireland that have a population of over 1000. The data includes: number of family units and number of children in the town. The towns have been geolocated by their lat/lon position. For more info about the data go to cso.ie/census.
This datasets shows the number of attacks by Afghanistan province from the designated time periods of 1.1.2007 to 7.13.2007 and 1.1.2008 to 7.13.2008. The data was collected by Vigilant Strategic Services Afghanistan and has been reported by The Long War Journal. The main point to get from this dataset is to see the increase in Taliban related violence that has grown from province to province from 2007 to 2008 in Afghanistan. One important note about the data is that the shapefile used to combine the data is from 2004. In 2005, 2 provinces were added, Daykundi and Panjsher. Daykundi was created out of the province of Uruzgan and Panjsher was created from the province of Parwan. So the data for Uruzgan and Parwan contains the data for the newly created provinces of Panjsher and Daykundi. For individual province results refer to the cited source for exact figures.
Haiti Roads provided by UNJLC
This dataset has data on Number of Family Units Catagorized by the Age of the Unit's Youngest Child throughout towns in Ireland that have a population of over 1000. The data includes numbers and percentages for the following age ranges: 0 to 4, 5 to 9, 10 to 14, 15 to 19, and 20 years and over. The towns have been geolocated by their lat/lon position. For more info about the data go to cso.ie/census.
This is one section of the world map map from Greenpeace. It is an "assessment of emaining tracts of intact forest landscapes larger than 500 sq. km that are not fragmented by infrastructure, such as roads, settlements, waterways, pipelines, power lines etc." "The map identifies forest landscapes which include non-forested areas. The reason for mapping landscapes instead of individual ecosystems is that the forest is a natural mosaic of integrated ecosystems, including forests, wetlands, rivers, lakes, and other treeless areas. Separating these ecosystems would not only be difficult but also artificial." Attributes provide the area and the perimeter of the forests.
This dataset has data on Number of Couples with No Children by Family Cycle throughout towns in Ireland that have a population of over 1000. The data includes numbers and percentages for the following age ranges: 0 to 4, 5 to 9, 10 to 14, 15 to 19, and 20 years and over. The towns have been geolocated by their lat/lon position. For more info about the data go to cso.ie/census.
This dataset has data on Number of family units with children by family cycle (couples or lone parents with children by family cycle) throughout towns in Ireland that have a population of over 1000. The data includes numbers and percentages for the following age range of children in family units: Pre-School, Early School, Pre-Adolescent, Adolescent, and Adult Children. The towns have been geolocated by their lat/lon position. For more info about the data go to cso.ie/census.
This dataset has data on Females aged 20 and over by the number of children they have throughout towns in Ireland that have a population of over 1000. The data includes numbers and percentages for the following number of children: 1, 2, 3, and 4 years and over. The towns have been geolocated by their lat/lon position. For more info about the data go to cso.ie/census.
This dataset has data on Private Household types throughout towns in Ireland that have a population of over 1000. The data includes numbers and percentages for the following private household types: one person, husband and wife, cohabiting couple, Husband wife children, cohabiting couple and children, father and children, mother and children, couple and others, couple children and others, father children and others, mother children and others, two or more family units, non family households and relations, and two or more non-related persons. The towns have been geolocated by their lat/lon position. For more info about the data go to cso.ie/census.
This is one section of the world map map from Greenpeace. It includes forests in Belize, Brazil, Colombia, Costa Rica, Cuba, Dominican Republic, Ecuador, Guatemala, Guyana, Honduras, Mexico, Nicaragua, Panama, United States, Venezuela It is an "assessment of emaining tracts of intact forest landscapes larger than 500 sq. km that are not fragmented by infrastructure, such as roads, settlements, waterways, pipelines, power lines etc." "The map identifies forest landscapes which include non-forested areas. The reason for mapping landscapes instead of individual ecosystems is that the forest is a natural mosaic of integrated ecosystems, including forests, wetlands, rivers, lakes, and other treeless areas. Separating these ecosystems would not only be difficult but also artificial." Attributes provide the area and the perimeter of the forests.
This dataset has data on Number of Persons in Private Household types throughout towns in Ireland that have a population of over 1000. The data includes numbers and percentages for the following private household types: one person, husband and wife, cohabiting couple, Husband wife children, cohabiting couple and children, father and children, mother and children, couple and others, couple children and others, father children and others, mother children and others, two or more family units, non family households and relations, and two or more non-related persons. The towns have been geolocated by their lat/lon position. For more info about the data go to cso.ie/census.
This is one section of the world map map from Greenpeace. It includes forests in Argentina, Bolivia, Brazil, Colombia, Ecuador, Paraguay and Peru. It is an "assessment of emaining tracts of intact forest landscapes larger than 500 sq. km that are not fragmented by infrastructure, such as roads, settlements, waterways, pipelines, power lines etc." "The map identifies forest landscapes which include non-forested areas. The reason for mapping landscapes instead of individual ecosystems is that the forest is a natural mosaic of integrated ecosystems, including forests, wetlands, rivers, lakes, and other treeless areas. Separating these ecosystems would not only be difficult but also artificial." Attributes provide the area and the perimeter of the forests.
This data set was provided by I-Casualties.org, a website which tracks information on casualties, injuries and deaths resulting from the War on Terror in Iraq and in Afghanistan. This data set includes names, rank and other personal information about the brave men and women who have died in Iraq.
This is one section of the world map map from Greenpeace. It is an "assessment of emaining tracts of intact forest landscapes larger than 500 sq. km that are not fragmented by infrastructure, such as roads, settlements, waterways, pipelines, power lines etc." "The map identifies forest landscapes which include non-forested areas. The reason for mapping landscapes instead of individual ecosystems is that the forest is a natural mosaic of integrated ecosystems, including forests, wetlands, rivers, lakes, and other treeless areas. Separating these ecosystems would not only be difficult but also artificial." Attributes provide the area and the perimeter of the forests.
This dataset has data on Number of Households by size of household (number of persons) throughout towns in Ireland that have a population of over 1000. The data includes numbers and percentages for the following house sizes: 1 person, 2 persons, 3 persons, 4 persons, 5 persons, 6 persons, 7 persons, and 8 or more persons . The towns have been geolocated by their lat/lon position. For more info about the data go to cso.ie/census.
This dataset has data on the number of private households by type accomodation throughout towns in Ireland that have a population of over 1000. The data includes numbers and percentages for the following private household types: House/Bungalow, Flat/Apartment, Bed-Sit, and Caravan/Mobile Home . The towns have been geolocated by their lat/lon position. For more info about the data go to cso.ie/census.
This data set shows the home town locations of military personnel that have died while serving and fighting in Afghanistan. Data was provided by I-Casualties.org which keeps up to date and detailed records about military and civilian deaths and injuries throughout Iraq and Afghanistan. This data also includes the location of the death, cause of deaths, home towns, rank, unit, and other identification information.
This dataset displays all the location of all Target Retail Stores across the USA. The information was collected from Target's website at target.com on 9.17.2008. The data includes information on: Store name, Store location(street address, city, state, zip), Phone Number, and lat/lon coordinates. The lat/lon coordinates were determined by geocoding the street address of the store.
The point shapefile shows the U.S. banking sector's exposure to real estate loan defaults. It is based on the quarterly reports published by Federal Deposit Insurance Corporation's (FDIC). The data are for the banks that have primary specialization in real-estate assets was downloaded from FDIC's website and then geocoded. Each point represents the location of a bank with data showing that bank's losses in thousands of $s due to foreclosed single/multi-family homes, commercial real estate, loans that are 30 to 90 days and more than 90 late in payments. You may search Finder! using keywords "U.S. Banks", "Real estate defaults" for all other quarterly data between 2005 and 2008.
This dataset has data on the number of persons in private households by type accomodation throughout towns in Ireland that have a population of over 1000. The data includes numbers and percentages for the following private household types: House/Bungalow, Flat/Apartment, Bed-Sit, and Caravan/Mobile Home . The towns have been geolocated by their lat/lon position. For more info about the data go to cso.ie/census.
This dataset has data on the number of privatehouseholds by the year they were built throughout towns in Ireland that have a population of over 1000. The data includes numbers and percentages for the following year periods: pre 1919, 1919 to 1940, 1941 to 1960, 1961 to 1970, 1971 to 1980, 1981 to 1990, 1991 to 1995, 1996 to 2000, and 2001 or later. The towns have been geolocated by their lat/lon position. For more info about the data go to cso.ie/census.
This dataset has data on the number of persons in private households by the year they were built throughout towns in Ireland that have a population of over 1000. The data includes numbers and percentages for the following year periods: pre 1919, 1919 to 1940, 1941 to 1960, 1961 to 1970, 1971 to 1980, 1981 to 1990, 1991 to 1995, 1996 to 2000, and 2001 or later. The towns have been geolocated by their lat/lon position. For more info about the data go to cso.ie/census.
The point shapefile shows the U.S. banking sector's exposure to real estate loan defaults. It is based on the quarterly reports published by Federal Deposit Insurance Corporation's (FDIC). The data are for the banks that have primary specialization in real-estate assets was downloaded from FDIC's website and then geocoded. Each point represents the location of a bank with data showing that bank's losses in thousands of $s due to foreclosed single/multi-family homes, commercial real estate, loans that are 30 to 90 days and more than 90 days late in payments. You may search Finder! using keywords "U.S. Banks", "Real estate defaults" for all other quarterly data between 2004 and 2008. Note: The FDIC website has detailed listing of all the fields used in this shapefile
The point shapefile shows the U.S. banking sector's exposure to real estate loan defaults. It is based on the quarterly reports published by Federal Deposit Insurance Corporation's (FDIC). The data are for the banks that have primary specialization in real-estate assets was downloaded from FDIC's website and then geocoded. Each point represents the location of a bank with data showing that bank's losses in thousands of $s due to foreclosed single/multi-family homes, commercial real estate, loans that are 30 to 90 days and more than 90 days late in payments. You may search Finder! using keywords "U.S. Banks", "Real estate defaults" for all other quarterly data between 2004 and 2008. Note: The FDIC website has detailed listing of all the fields used in this shapefile.
The point shapefile shows the U.S. banking sector's exposure to real estate loan defaults. It is based on the quarterly reports published by Federal Deposit Insurance Corporation's (FDIC). The data are for the banks that have primary specialization in real-estate assets was downloaded from FDIC's website and then geocoded. Each point represents the location of a bank with data showing that bank's losses in thousands of $s due to foreclosed single/multi-family homes, commercial real estate, loans that are 30 to 90 days and more than 90 days late in payments. You may search Finder! using keywords "U.S. Banks", "Real estate defaults" for all other quarterly data between 2004 and 2008. Note: The FDIC website has detailed listing of all the fields used in this shapefile
The point shapefile shows the U.S. banking sector's exposure to real estate loan defaults. It is based on the quarterly reports published by Federal Deposit Insurance Corporation's (FDIC). The data are for the banks that have primary specialization in real-estate assets was downloaded from FDIC's website and then geocoded. Each point represents the location of a bank with data showing that bank's losses in thousands of $s due to foreclosed single/multi-family homes, commercial real estate, loans that are 30 to 90 days and more than 90 days late in payments. You may search Finder! using keywords "U.S. Banks", "Real estate defaults" for all other quarterly data between 2004 and 2008. Note: The FDIC website has detailed listing of all the fields used in this shapefile.
The point shapefile shows the U.S. banking sector's exposure to real estate loan defaults. It is based on the quarterly reports published by Federal Deposit Insurance Corporation's (FDIC). The data are for the banks that have primary specialization in real-estate assets was downloaded from FDIC's website and then geocoded. Each point represents the location of a bank with data showing that bank's losses in thousands of $s due to foreclosed single/multi-family homes, commercial real estate, loans that are 30 to 90 days and more than 90 days late in payments. You may search Finder! using keywords "U.S. Banks", "Real estate defaults" for all other quarterly data between 2004 and 2008. Note: The FDIC website has detailed listing of all the fields used in this shapefile.
The point shapefile shows the U.S. banking sector's exposure to real estate loan defaults. It is based on the quarterly reports published by Federal Deposit Insurance Corporation's (FDIC). The data are for the banks that have primary specialization in real-estate assets was downloaded from FDIC's website and then geocoded. Each point represents the location of a bank with data showing that bank's losses in thousands of $s due to foreclosed single/multi-family homes, commercial real estate, loans that are 30 to 90 days and more than 90 days late in payments. You may search Finder! using keywords "U.S. Banks", "Real estate defaults" for all other quarterly data between 2004 and 2008. Note: The FDIC website has detailed listing of all the fields used in this shapefile.
The point shapefile shows the U.S. banking sector's exposure to real estate loan defaults. It is based on the quarterly reports published by Federal Deposit Insurance Corporation's (FDIC). The data are for the banks that have primary specialization in real-estate assets was downloaded from FDIC's website and then geocoded. Each point represents the location of a bank with data showing that bank's losses in thousands of $s due to foreclosed single/multi-family homes, commercial real estate, loans that are 30 to 90 days and more than 90 days late in payments. You may search Finder! using keywords "U.S. Banks", "Real estate defaults" for all other quarterly data between 2004 and 2008. Note: The FDIC website has detailed listing of all the fields used in this shapefile.
The point shapefile shows the U.S. banking sector's exposure to real estate loan defaults. It is based on the quarterly reports published by Federal Deposit Insurance Corporation's (FDIC). The data are for the banks that have primary specialization in real-estate assets was downloaded from FDIC's website and then geocoded. Each point represents the location of a bank with data showing that bank's losses in thousands of $s due to foreclosed single/multi-family homes, commercial real estate, loans that are 30 to 90 days and more than 90 days late in payments. You may search Finder! using keywords "U.S. Banks", "Real estate defaults" for all other quarterly data between 2004 and 2008. Note: The FDIC website has detailed listing of all the fields used in this shapefile.
The point shapefile shows the U.S. banking sector's exposure to real estate loan defaults. It is based on the quarterly reports published by Federal Deposit Insurance Corporation's (FDIC). The data are for the banks that have primary specialization in real-estate assets was downloaded from FDIC's website and then geocoded. Each point represents the location of a bank with data showing that bank's losses in thousands of $s due to foreclosed single/multi-family homes, commercial real estate, loans that are 30 to 90 days and more than 90 days late in payments. You may search Finder! using keywords "U.S. Banks", "Real estate defaults" for all other quarterly data between 2004 and 2008. Note: The FDIC website has detailed listing of all the fields used in this shapefile.
This dataset has data on the number of private households by Type of Occupancy throughout towns in Ireland that have a population of over 1000. The data includes numbers and percentages for the following occupancy types: owner occupied with mortgage, owner occupied no mortgage, buying from local authority, rented from local authority, rented from voluntary body, other rented - unfurnished, other rented - furnished, and occupied free of rent. The towns have been geolocated by their lat/lon position. For more info about the data go to cso.ie/census.
The point shapefile shows the U.S. banking sector's exposure to real estate loan defaults. It is based on the quarterly reports published by Federal Deposit Insurance Corporation's (FDIC). The data are for the banks that have primary specialization in real-estate assets was downloaded from FDIC's website and then geocoded. Each point represents the location of a bank with data showing that bank's losses in thousands of $s due to foreclosed single/multi-family homes, commercial real estate, loans that are 30 to 90 days and more than 90 days late in payments. You may search Finder! using keywords "U.S. Banks", "Real estate defaults" for all other quarterly data between 2004 and 2008. Note: The FDIC website has detailed listing of all the fields used in this shapefile.
The point shapefile shows the U.S. banking sector's exposure to real estate loan defaults. It is based on the quarterly reports published by Federal Deposit Insurance Corporation's (FDIC). The data are for the banks that have primary specialization in real-estate assets was downloaded from FDIC's website and then geocoded. Each point represents the location of a bank with data showing that bank's losses in thousands of $s due to foreclosed single/multi-family homes, commercial real estate, loans that are 30 to 90 days and more than 90 days late in payments. You may search Finder! using keywords "U.S. Banks", "Real estate defaults" for all other quarterly data between 2004 and 2008. Note: The FDIC website has detailed listing of all the fields used in this shapefile.
The point shapefile shows the U.S. banking sector's exposure to real estate loan defaults. It is based on the quarterly reports published by Federal Deposit Insurance Corporation's (FDIC). The data are for the banks that have primary specialization in real-estate assets was downloaded from FDIC's website and then geocoded. Each point represents the location of a bank with data showing that bank's losses in thousands of $s due to foreclosed single/multi-family homes, commercial real estate, loans that are 30 to 90 days and more than 90 days late in payments. You may search Finder! using keywords "U.S. Banks", "Real estate defaults" for all other quarterly data between 2004 and 2008. Note: The FDIC website has detailed listing of all the fields used in this shapefile.
The point shapefile shows the U.S. banking sector's exposure to real estate loan defaults. It is based on the quarterly reports published by Federal Deposit Insurance Corporation's (FDIC). The data are for the banks that have primary specialization in real-estate assets was downloaded from FDIC's website and then geocoded. Each point represents the location of a bank with data showing that bank's losses in thousands of $s due to foreclosed single/multi-family homes, commercial real estate, loans that are 30 to 90 days and more than 90 days late in payments. You may search Finder! using keywords "U.S. Banks", "Real estate defaults" for all other quarterly data between 2004 and 2008. Note: The FDIC website has detailed listing of all the fields used in this shapefile.
The point shapefile shows the U.S. banking sector's exposure to real estate loan defaults. It is based on the quarterly reports published by Federal Deposit Insurance Corporation's (FDIC). The data are for the banks that have primary specialization in real-estate assets was downloaded from FDIC's website and then geocoded. Each point represents the location of a bank with data showing that bank's losses in thousands of $s due to foreclosed single/multi-family homes, commercial real estate, loans that are 30 to 90 days and more than 90 days late in payments. You may search Finder! using keywords "U.S. Banks", "Real estate defaults" for all other quarterly data between 2004 and 2008. Note: The FDIC website has detailed listing of all the fields used in this shapefile.
The point shapefile shows the U.S. banking sector's exposure to real estate loan defaults. It is based on the quarterly reports published by Federal Deposit Insurance Corporation's (FDIC). The data are for the banks that have primary specialization in real-estate assets was downloaded from FDIC's website and then geocoded. Each point represents the location of a bank with data showing that bank's losses in thousands of $s due to foreclosed single/multi-family homes, commercial real estate, loans that are 30 to 90 days and more than 90 days late in payments. You may search Finder! using keywords "U.S. Banks", "Real estate defaults" for all other quarterly data between 2004 and 2008. Note: The FDIC website has detailed listing of all the fields used in this shapefile.
The point shapefile shows the U.S. banking sector's exposure to real estate loan defaults. It is based on the quarterly reports published by Federal Deposit Insurance Corporation's (FDIC). The data are for the banks that have primary specialization in real-estate assets was downloaded from FDIC's website and then geocoded. Each point represents the location of a bank with data showing that bank's losses in thousands of $s due to foreclosed single/multi-family homes, commercial real estate, loans that are 30 to 90 days and more than 90 days late in payments. You may search Finder! using keywords "U.S. Banks", "Real estate defaults" for all other quarterly data between 2004 and 2008. Note: The FDIC website has detailed listing of all the fields used in this shapefile.
The point shapefile shows the U.S. banking sector's exposure to real estate loan defaults. It is based on the quarterly reports published by Federal Deposit Insurance Corporation's (FDIC). The data are for the banks that have primary specialization in real-estate assets was downloaded from FDIC's website and then geocoded. Each point represents the location of a bank with data showing that bank's losses in thousands of $s due to foreclosed single/multi-family homes, commercial real estate, loans that are 30 to 90 days and more than 90 days late in payments. You may search Finder! using keywords "U.S. Banks", "Real estate defaults" for all other quarterly data between 2004 and 2008. Note: The FDIC website has detailed listing of all the fields used in this shapefile.
This dataset has data on the number of persons in private households by Type of Occupancy throughout towns in Ireland that have a population of over 1000. The data includes numbers and percentages for the following occupancy types: owner occupied with mortgage, owner occupied no mortgage, buying from local authority, rented from local authority, rented from voluntary body, other rented - unfurnished, other rented - furnished, and occupied free of rent. The towns have been geolocated by their lat/lon position. For more info about the data go to cso.ie/census.
This dataset displays the inmate populations for all the Federal Prisons throughout the United States on 9.18.08. This weekly Population Report can be found on the Bureau of Prisons website at bop.gov. These facilities are positioned by their lat/lon and this dataset is updated on a weekly basis.
General Demographics for the Area around Nashville, TN. Includes information on populations, households, age, race, gender, and more. Data was aggregated to the Block group level.
This dataset shows the incomes of residents. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level.
The point shapefile shows Hurricane Ike one day rainfall totals for selected counties along gulf coast for 14th Sep, 2008. The data consisting of nearly quarter million locations for the lower 48 states US was obtained from AHPS of NOAA and then extracted for 52 counties in the Gulf States that were most affected by Hurricane Ike.
This dataset has data on the number of private households by number of rooms throughout towns in Ireland that have a population of over 1000. The data includes numbers and percentages for the following room sizes: 1 room, 2 rooms, 3 rooms, 4 rooms, 5 rooms, 6 rooms, 7 rooms, and 8 or more rooms. The towns have been geolocated by their lat/lon position. For more info about the data go to cso.ie/census.
This Data shows the average Gdp from 1992-97, and the employment and unemployment rates in 1995 and 1996 respectively
This dataset has data on the number of private households by whether or not they have central heating throughout towns in Ireland that have a population of over 1000. The data includes numbers and percentages for the following cases: Yes they have central heating, No they don't have central heating, and they did not state if they have central heating. The towns have been geolocated by their lat/lon position. For more info about the data go to cso.ie/census.
This dataset has data on the number of private households by type of water supply throughout towns in Ireland that have a population of over 1000. The data includes numbers and percentages for the following cases: public main, group scheme with local authority source, group scheme with private source, other private source, and no water supply. The towns have been geolocated by their lat/lon position. For more info about the data go to cso.ie/census.
This Data set has various demographic attributes including age, race, sex, and housing information. Data is at the Block Level, meaning this is very detailed data showing statistics for the various city blocks in Nashville, TN.
This dataset has data on the number of private households by type of sewerage facilites throughout towns in Ireland that have a population of over 1000. The data includes numbers and percentages for the following cases: public scheme, individual septic tank, other individual treatment, other treatment, and no sewerage facility. The towns have been geolocated by their lat/lon position. For more info about the data go to cso.ie/census.
This dataset has data on the number of private households by type of sewerage facilites throughout towns in Ireland that have a population of over 1000. The data includes numbers and percentages for the following cases: public scheme, individual septic tank, other individual treatment, other treatment, and no sewerage facility. The towns have been geolocated by their lat/lon position. For more info about the data go to cso.ie/census.
This dataset shows the number of workers in 25 categories of occupation. The information is mapped according to place of work. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level.
Travel Time to Work (at Place of Work) Traveltime Commute This dataset shows worker earnings in 1999 and travel time to work. The information is mapped according to place of work. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level.
Skyscrapers
This data shows the amount of China's rural enterprises by region in 1996. It also shows the in and profits in units of 100 million yuan
Preliminary damage from Hurricane Ike on the Texas shoreline and Houston area. The data was acquired by a FEMA flyover and NWS and focuses on number of houses effected.
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The point shapefile shows major (selected) stock exchanges in the world by market value (in trillions of $s) and turnover of shares (in trillions of $s). See the map showing market value of each of these exchanges http://maker.geocommons.com/maps/453
This coverage represents year MODIS fire detections for the 7 day period specified for the geographic area covering the conterminous United States, Alaska, Hawaii, Canada and northern Mexico. The detections are obtained using both TERRA MODIS and AQUA MODIS data are collected and processed as a cooperative effort between the USDA Forest Service Remote Sensing Application Center, NASA-Goddard Space Flight Center and the University of Maryland. These fire detection data are collected for the USDA Forest Service MODIS Active Fire Mapping Program (http://activefiremaps.fs.fed.us). These data are intended to provide a synoptic view of active fires for the past and present over the specified time period. These data are collected at a spatial resolution of 1 kilometer and therefore are only intended for geographic display and analysis at the national and regional levels. No responsibility is assumed by the USDA Forest Service in the use of these data.
This datasets displays the locations of all recorded earthquakes of a magnitude of 1 or greater around the world from the period of 9.15.08 to 9.22.08. The findings are from the US Geological Survey (USGS). Earthquake information is extracted from a merged catalog of earthquakes located by the USGS and contributing networks. Earthquakes will be broadcast within a few minutes for California events and within 30-minutes for world-wide events.
This is the list of the local Red Cross Blood Services Regions. It includes the lat/longs of the region's main center as well as the name of the region.
This dataset has data on persons aged 15 and older by principal economic status throughout towns in Ireland that have a population of over 1000. The data includes numbers and percentages for the principal economic status's: public scheme, individual septic tank, other individual treatment, other treatment, and no sewerage facility. The towns have been geolocated by their lat/lon position. For more info about the data go to cso.ie/census.
This dataset has data on persons aged 15 and older by principal economic status throughout towns in Ireland that have a population of over 1000. The data includes numbers and percentages for the principal economic status's: public scheme, individual septic tank, other individual treatment, other treatment, and no sewerage facility. The towns have been geolocated by their lat/lon position. For more info about the data go to cso.ie/census.
This data shows the economic indicators in China from 1995. The data is broken down by provincial regions in China.
This dataset has data on population by sex and social class throughout towns in Ireland that have a population of over 1000. The data includes numbers and percentages for theses classes for both males and females: professional workers, managerial and technical workers, non-manual workers, skilled manual workers, semi-skilled workers, unskilled workers, and all others gainfully occupied and unknown workers. The towns have been geolocated by their lat/lon position. For more info about the data go to cso.ie/census.
Abstract: U.S. Telephone Area Code Boundaries represents the telephone area codes for United States. They are also known as Numbering Plan Areas (NPA). Purpose: U.S. Telephone Area Code Boundaries provides the telephone area codes of United States for use in telecommunications analysis.
This data shows the economic indicators in China from 1996. The data is broken down by provincial regions in China.
Abstract: This coverage contains polygons representing the county boundaries of the state of Iowa. COUNTY was developed from a set of 99 individual coverages of the Public Land Survey System (PLSS) for each county in the state. The PLSS coverages were digitized from paper copies of 7.5' topographic quadrangle maps. River boundaries were also digitized from 7.5' maps roads. Purpose: This digital, geographically referenced data set was developed by the Iowa Department of Natural Resources to carry out agency responsibilities related to management, protection, and development of Iowa's natural resources.
Abstract: This file shows Iowa DNR Environmental Services field office boundaries. Purpose: This digital, geographically referenced data set was developed by the Iowa Department of Natural Resources to carry out agency responsibilities related to management, protection, and development of Iowa's natural resources.
Abstract: This coverage represents lands owned or managed by the Iowa Department of Natural Resources where public hunting is allowed. Purpose: This digital, geographically referenced data set was developed by the Iowa Department of Natural Resources to carry out agency responsibilities related to management, protection, and development of Iowa's natural resources.
Abstract: This coverage represents the boundaries of land areas in Iowa that are owned or managed or designated by the Iowa Department of Natural Resources (DNR). In most cases, the data was obtained from DNR land acquisition files and is current to platted maps sheets through the edition date, other infomation is obtained from county digital parcel files. Purpose: This digital, geographically referenced data set was developed by the Iowa Department of Natural Resources to carry out agency responsibilities related to management, protection, and development of Iowa's natural resources. Supplemental_Information: Some of the Areas depicted in this coverage are NOT open to public access. See the definition for the "ACCESS" field in this database. Also, Signage on the ground should be considered the official boundary of DNR areas, DO NOT TRESPASS ON PRIVATE PROPERTY. This coverage was developed from the parcel information maintained by the aquisition bureau, the wildlife management areas maintained by the wildlife bureau, and the non-DNR preserves maintained by the preserves section. Some counties areas are delineated from county auditor parcels. This coverage will be updated as new plats are added or updated. An additional shapefile exists with all plat information. Contact Travis Baker (Travis.Baker@dnr.state.ia.us) for this information.
This data shows the economic indicators in China from 1997. The data is broken down by provincial regions in China.
Abstract: This coverage contains arcs and points that represent the boundaries of the 953 incorporated cities and towns in Iowa. The data was obtained from the Iowa DOT and is current to the summer 1992. This coverage also has interior boundaries of unincorporated areas within city boundaries. Purpose: This digital, geographically referenced data set was developed by the Iowa Department of Natural Resources to carry out agency responsibilities related to management, protection, and development of Iowa's natural resources.
Abstract: This coverage contains polygons that represent the boundaries of the 954 incorporated cities and towns in Iowa. This coverage also has interior boundaries of unincorporated areas within city boundaries. Purpose: This digital, geographically referenced data set was developed by the Iowa Department of Natural Resources to carry out agency responsibilities related to management, protection, and development of Iowa's natural resources.
Abstract: This data identifies ownership and management boundaries for conservation and recreation areas in the state of Iowa. Purpose: Identify ownership and management boundaries for conservation areas in Iowa. Originallly used in conjunction with predicted distributions of vertebrates in Iowa and landcover data to identify conservation 'gaps'
Abstract: This coverage contains polygons representing the Iowa House of Representatives district boundaries. These boundaries were created by redistricting after the 2000 census. The original data was provided in shapefile format by the Iowa Legislative Services Bureau. Purpose: This digital, geographically referenced data set was developed by the Iowa Department of Natural Resources to carry out agency responsibilities related to management, protection, and development of Iowa's natural resources.
This data shows the output of major industrial products by regions produced during 1997.
way points and mid points
Abstract: This coverage contains polygons representing the Iowa House of Representatives district boundaries for the years 1992-2001. These boundaries were created by redistricting after the 1990 census. The original data was provided by the Iowa Legislative Services Bureau. The source data for the boundaries was the TIGER/Line files. Purpose: This digital, geographically referenced data set was developed by the Iowa Department of Natural Resources to carry out agency responsibilities related to management, protection, and development of Iowa's natural resources Supplemental_Information: House member information is available in text delimited files by general assembly number.
Abstract: This coverage contains polygons representing the Iowa Senate district boundaries. These boundaries were created by redistricting after the 2000 census. The original data was shapefiles provided by the Iowa Legislative Services Bureau. Purpose: This digital, geographically referenced data set was developed by the Iowa Department of Natural Resources to carry out agency responsibilities related to management, protection, and development of Iowa's natural resources.
Abstract: This coverage contains polygons representing the Iowa Senate district boundaries for 1992-2001. Purpose: This digital, geographically referenced data set was developed by the Iowa Department of Natural Resources to carry out agency responsibilities related to management, protection, and development of Iowa's natural resources
This dataset shows the incomes of residents. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1338.
This dataset shows housing tenure. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1347
The map data is derived from the United Nations Environment Programme (UNEP) for the years ranging from 1958 to a projected 2012. The map shows the concentration of the total water withdrawal for usage by country measured in billion cubic meters. UNEP used the measurements of the annual gross quantity of water produced and only used for domestic, agricultural, and industrial purposes for calculating the total water withdrawal.
This dataset shows the means of transportation to work reported by males. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Tables.asp.
This dataset shows Austria divided into administrative areas. Each area has information about the population and actual area of each administrative boundary. This data was found online at: http://www.vdstech.com/map_data.htm
The map data is derived from the United Nations Environment Programme (UNEP) for the years ranging from 1990 to 2003. The map shows the total network of roads by country measured in kilometers. According to UNEP, total road network "covers motorways, highways, main or national roads, secondary or regional roads, and all other roads in a country. Online resource: http://geodata.grid.unep.ch URL original source: http://www.worldbank.org/data/
This dataset shows disability status, age, and means of transportation to work. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1339.
The map is based on individual contributions for the second quarter report submitted to Federal Election Commission on 15h July, 2007 by Giuliani's campaign committee. The data was aggegated to 5 digit zipcode and geocoded. The top five zipcodes are: 1.New York, NY 10021 ($437,600) 2. New York, NY 10021 ($277,900) 3. Greenwich, CT 06830 ($169,100) 4. New York, NY 10128 ($160,750) 5. New York, NY 10028 ($151,665)
This dataset highlights where money is being directed on the political front surrounding environmental and energy issues. Look to see how much money was given to state-level candidates and party committees by the energy industry, pro-environment policy groups, and alternative energy interest groups. Non-individual contributors from the oil and gas, electric utilities and coal mining industries contributed $58.3 million to state-level candidates and party committees from 2003 through 2006. On the other side, pro-environmental policy organizations gave $2.1 million and alternative energy interests contributed almost $564,000. Source: www.followthemoney.org.
These are post-censal estimates of poulation by single age by county. They're generated by CDC's National Center for Health Statistic (NCHS). Source: http://www.cdc.gov/nchs/
This dataset shows the number of workers in 15 categories of industry. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1338.
This is post-censal estimates of population by single age by county. Its generated by CDC's National Center for Health Statistic (NCHS). Source: http://www.cdc.gov/nchs/
This dataset shows the number of workers in 25 categories of occupation. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1338.
The map is based on data from Dept of Transportation's Federal Highway Administration's website http://www.fhwa.dot.gov/bridges/ It shows the proportion of bridges built over time period of 4 years between 1905 and 2001, that are found to be structurally deficient. Here is a link to "What makes a bridge structurally deficient?" http://www.fhwa.dot.gov/policy/2004cpr/chap15c.htm#body
This dataset shows the number of workers in 25 categories of occupation. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1338.
This dataset shows the count of Deck structures per county in the United States. the count is divided into safety ratings for each county, with values from 0-9. '0' Failed '1' Imminent '2' Critical '3' Serious '4' Poor '5' Fair '6' Satisfactory '7' Good '8' Very good '9' Excellent 'Unk' Unknown 'N' Not applicable Also Dangerous is summation of 0,1,2 and 3. Risky is summation of 4, 5 and 6. Safe is summation of 7, 8 and 9.
HAZUS is an abbreviation for Hazards United States, and was developed by FEMA. This data set provides distributions and costs of vehicles at the census block level for the Virginia section of the Washington, DC Metropolitan Statistic Area (MSA). ABSG developed this data set from the 2000 version of TIGER/Line files and first quarter of 2002 data from Dun & Bradstreet. The data was modified using typical Metropolitan Planning Organization (MPO) vehicle per square foot relationships. Original data was made available at the state level and the MSA was extracted out of the state level data. The data can be found online at http://www.fema.gov/plan/prevent/hazus/index.shtm.
If you're an NHL fan, you can thank Canada for producing slightly more than half of all the league's players. Check out this dataset to see the other nations with feed talent into the NHL. The data was compiled from the birthplaces listed on NHL active team rosters. Found online at www.nhl.com. Accessed on 8.13.07.
This dataset shows the means of transportation to work reported by females. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level.
This Dataset shows the top 100 cities in the US with a population over 5000, these cities have the highest income to low Education ratios. In other words, if you haven't gone to college, you should probably move to one of these cities, if you want to make some money. just remember, money isn't everything. I was able to successfully geocode 91 of the top 100 cities. I've also added an Inverse Ratio field which will allow you to view the highest ranked cities on the map more accurately. Source URL: http://www.city-data.com/top17.html
This data illustrates the relationship of the electoral college to the population and area of a state. The value of zero represents that no data was available. http://mathforum.org/workshops/sum96/data.collections/datalibrary/data.set6.html U.S. Department of State (Oct 2005) and 2000 census August 23, 2007
This data set reports US incidents of Melanoma of the skin by state and gender. It includes all races and ages. It also includes state population and area, for referencing purposes.The National Cancer Institutes's site has the years of representation for each state as either 2003 or 2004. This is not an average of the two; refer back to the source URL for a specific states year of data. Source URL: http://statecancerprofiles.cancer.gov/index.html http://statecancerprofiles.cancer.gov/incidencerates/index.php?stateFIPS=00&cancer=053&race=00&sex=0&age=001&type=incd&sortVariableName=rate&sortOrder=default
I've geocoded about 30 restaurants in San Antonio, Texas. I've heard they've got some really good food, and i wanted to see where it is at. i geocoded the restaurants that i found online here: http://sanantonio.citysearch.com/yellowpages/results/San_Antonio_TX/page1.html?flavor_id=2
This dataset shows the number of hours worked per week in 1999. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1338.
This data set illustrates the longest rivers across the globe. September 4, 2007 http://www.intute.ac.uk/sciences/worldguide/guide_rivers.html
This data set illustrates public/ private bathrooms in San Francisco. http://www.safe2pee.org/beta/ September 5, 2007
This data set illustrates the best places to find a restroom in Maryland. http://www.safe2pee.org/beta/ September 6, 2007
This dataset shows the top 100 cities in regards to House size. House size is measured by number of rooms in the house, not square footage. i was able to successfully geocode 82 of the top 100 list. Source URL: http://www.city-data.com/top23.html
This dataset shows the number of workers in 25 categories of occupation. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level.
This data set illustrates the percentage of high school students in 2003 and 2005 who carried a weapon onto school property. A value of zero mean no data was available. http://www.statemaster.com/cat/cri-crime September 10, 2007
This is a disturbing dataset, but it demonstrates the need to protect animals from dangerous people. Going back to 1989, Pet-Abuse.com has 39 bestiality convictions on record. 34 of those have occurred in the past decade. Source: http://www.pet-abuse.com/pages/cruelty_database.php Accessed: 9.12.07
This dataset shows the Greyhound bus terminals for Texas. http://www.greyhound.com/scripts/en/TicketCenter/locations.asp?state=tx Sept 27 2007
This dataset shows worker arrival time. The information is mapped according to place of work. The data is part of the (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level.
Exports of TOTAL from North Dakota in United States Dollars ($ USD). This data comes from Trade Stats Express - State Export Data and covers the years 2001- March 2007. It is organized by country trade partner to the state and only lists amount (in US Dollars $) of trade to each foreign country, not commodity traded.
This is a compilation of the lat/longs of Kansas campgrounds and RV parks. There is one for each state.
Firestation locations in Nebraska. Source:HAZUS
This is a compilation of the lat/longs of Maryland campgrounds and RV parks. There is one for each state. The source is Campusa.com
This is a compilation of the lat/longs of Rhode Island campgrounds and RV parks. There is one for each state. The source is Campusa.com
This dataset shows the means of transportation to work reported by females. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level.
This Dataset shows shows various crimes and the changes in those crimes over the period of a year. Data is shown as points by the ward in which they were the crime was committed.
HAZUS is an abbreviation for Hazards United States, and was developed by FEMA. This data set provides distributions of floor area at the census block level for the Delaware section of the Philadelphia, PA Metropolitan Statistic Area (MSA). ABSG developed this data set from the 2000 version of TIGER/Line files and first quarter of 2002 data from Dun & Bradstreet. Original data was made available at the state level and the MSA was extracted out of the state level data.
This dataset provides information about duly sworn city, university and college, county, state, tribal, and federal law enforcement officers who were accidentally killed in the line of duty from 1997-2006 in the South.
This dataset shows the origin and race of residents. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1341.
This dataset illustrates the highest daily high temperatures and the lowest daily low temperatures in cities with 50,000 people or more. A value of -1 means that the data was not applicable. Also included are the population, name of the city and state, the temperature, the original city ranking, and the inverse ranking to be used only for mapping purposes.
This dataset shows various crimes from around London in all of its boroughs. Crime data includes both violent and non violent crimes
HAZUS is an abbreviation for Hazards United States, and was developed by FEMA. This data set provides a count of buildings at the census block level for the Washington State Section of the Portland, OR Metropolitan Statistic Area (MSA). ABSG developed this data set from the 2000 version of TIGER/Line files and first quarter of 2002 data from Dun & Bradstreet. The dataset was generated by dividing the square footage by occupancy by census block by typical floor areas (square footage) for each occupancy. Original data was made available at the state level and the MSA was extracted out of the state level data.
The map shows all the states that have scheduled primaries or caucuses during the month of January, starting with Iowa caucus on 3rd Jan, followed by the first in the nation primary in New Hampshire, Nevada Caucus and South Carolina primary. Michigan has been punished by Democratic National Committee (DNC) for advancing its primary way ahead of others and thus its count of delegates will not be considered for nomination process. So also, the Florida primary on 29th is reduced to a beauty contest by DNC. The total count of delegates for these early states would come to 174. Clinton campaign is trying to restore Florida and may be Michigan delegate counts. Clinton campaign would get a boost in delegate counts if these two states are considered in the nomination process. Ignoring these big states and hence the people voting there is going to be an issue in the coming weeks.
This dataset shows disability status, age, and means of transportation to work. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level.
This dataset shows the incomes of people reporting from their job location. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level.
HAZUS is an abbreviation for Hazards United States, and was developed by FEMA. The HAZUS dataset was designed to estimate the potential physical, economic and social losses during hazardous events such as flooding or earthquakes. To measure the social impact of these events, HAZUS includes detailed demographic data for the United States. This dataset pulls out the residential data from the demographic files, at the census block level for the Indiana section of the Cincinnati, Ohio Metropolitan Statistic Area (MSA). Data attributes include population group quarters, school enrollment, population commuting at 5 pm, population in hotels, visiting populations, population residing by day or night, and others. Demographics data was recent as of May 2006. Source: http://www.fema.gov/plan/prevent/hazus/index.shtm
HAZUS is an abbreviation for Hazards United States, and was developed by FEMA. The HAZUS dataset was designed to estimate the potential physical, economic and social losses during hazardous events such as flooding or earthquakes. To measure the social impact of these events, HAZUS includes detailed demographic data for the United States. This dataset pulls out the age and sex data from the demographic files, at the census block level for the Pennsylvania section of the New York City Metropolitan Statistic Area (MSA). Attributes for this dataset include male and female populations, which are then divided into the age categories of 0-16, 16-65, and 65+. Demographics data was recent as of May 2006.
The percent of food stamp recipients by county is derived from Census data of Food stamp recipients released in July 2001 and Post censal estimate of population by county issued by CDC's National Health Statistics Center, also in July of 2001.
This dataset shows how much money the U.S. Dept. of Veteran's Affairs spends per veteran in each county. It also shows per patient medical expenditure by county. The patients include the veterans and their family members.
Delaware FireStation locations from HAZUS.
Georgia Firestation locations from HAZUS.
This dataset shows the number of workers in 25 categories of occupation. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1338.
This dataset shows disability status, age, and means of transportation to work. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level.
This dataset shows length of US residence and worker earnings in 1999. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1339.
This dataset shows the number of workers in 25 categories of occupation. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at
This dataset shows the number of workers in 25 categories of occupation. The information is mapped according to place of work. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1344.
This dataset shows the number of hours worked per week in 1999. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1338.
HAZUS is an abbreviation for Hazards United States, and was developed by FEMA. This data set provides distributions and costs of vehicles at the census block level for the Maryland portion of the Philadelphia Metropolitan Statistic Area (MSA). ABSG developed this data set from the 2000 version of TIGER/Line files and first quarter of 2002 data from Dun & Bradstreet. The data was modified using typical Metropolitan Planning Organization (MPO) vehicle per square foot relationships. Original data was made available at the state level and the MSA was extracted out of the state level data. The data can be found online at http://www.fema.gov/plan/prevent/hazus/index.shtm.
This dataset shows the incomes of residents. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1338.
This dataset shows housing tenure. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1347
This dataset shows worker arrival time. The information is mapped according to place of work. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1338.
This data reports fraud complaints by consumer state for the year 2006. It comes from the FTC Consumer Sentinel's Identity Theft Data Clearinghouse.
This data comes from the Air Carrier Statistics (Form 41) - for domestic and foreign carriers. Data for the month of January 2007 was extracted. Total and average market passengers enplaned are summarized by airport (lower 48 states). www.bts.gov
Finally, you can determine the best location to spot a sasquatch. This dataset geo-locates reports of encounters with bigfoot/sasquatch creatures. The reports come primarily from bigfoot resource organization web sites, such as the Texas Bigfoot Research Conservancy (www.texasbigfoot.com). Data was found online at http://bbs.keyhole.com/ubb/showflat.php/Cat/0/Number/321484/an/0/page/1#321484
Surprise, the Dutch didn't actually invent the windmill. But they did perfect the design, and for 500 years they've been adapting windmill-models for every type of activity. Data was found online at http://bbs.keyhole.com/ubb/showflat.php/Cat/0/Number/800902/an/0/page/3#800902
Locations of Knoxville Starbucks sites
This data reports how much mail was enplaned in January of 2007 by the airport of origin. The data comes from the Air Carriers: T-100 Domestic Market, U.S. Carriers Database - from the www.bts.gov
This is a map of AIDS cases contracted through injection drug use in the United States by select metropolitan areas. The data are adjusted for delays in reporting cases and deaths and for redistribution of cases in persons initially reported without an identified risk factor.
This is a map of nations that have confirmed cases of avian influenza (bird flu), strain H5N1. Strain H5N1 is a highly pathogenic form of the bird flu. The cases were confirmed by the World Health Organization.
This dataset includes over 200 US military cemeteries, compiled using information from the National Cemetery Administration, National Park Service, American Battlefield Commission, US Army, state veterans departments, and others. For the majority of cemeteries, within the description field, you will find a link to the cemetery's web page along with the physical address. This data was found online at http://bbs.keyhole.com/ubb/showflat.php/Cat/0/Number/132750/an/0/page/0#132750.
Consumer Price Index base year 2000 = 100. Consumer Price Index reflects changes in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or may change at specified intervals, such as yearly. The laspeyres formula is generally used. Consumer price indexes are more current and produced more frequently. They are also constructed explicity, based on surveys of the cost of a defined basket of consumer goods and services. Data Values of 0 mean no data available. Original Source usees -9999 for no data available. Online resource: http://geodata.grid.unep.ch URL original source: http://www.worldbank.org/data/
This dataset comes from an article based on a study of regional personalities found throughout the USA. The results are based on more than 600,000 questionnaires and was published in the journal, Perspectives on Psychological Science. The study maps regional clusters of personality traits, then overlays state-by-state data on crime, health and economic development in search of correlations. The five categories that were examined were the following: extraversion, agreeableness, conscientiousness, neuroticism, and openness. A score of 51 indicates that the state has the highest prevalence of the indicated personality trait and a score of 1 indicates that the state has the lowest prevalence of the indicated personality trait. For more information please visit the url (citation url) link that provides a very detailed examination of this study.
Abstract: There are both legal and statistical American Indian, Alaska Native, and native Hawaiian entities for which the U.S. Census Bureau provides data for Census 2000. The legal entities consist of federally recognized American Indian reservations and off-reservation trust land areas, the tribal subdivisions that can divide these entities, state recognized American Indian reservations, Alaska Native Regional Corporations, and Hawaiian home lands. The statistical entities are Alaska Native village statistical areas, Oklahoma tribal statistical areas, tribal designated statistical areas, and state designated American Indian statistical areas. Purpose: This digital, geographically referenced data set was developed by the Iowa Department of Natural Resources to carry out agency responsibilities related to management, protection, and development of Iowa's natural resources.
Abstract: This coverage contains polygons representing the political or civil township boundaries in Iowa. The coverage also contains some of the incorporated city boundaries. The original data was provided by the Iowa Legislative Services Bureau. The LSB only included those city boundaries which corresponded to voting districts. Therefore,This coverage is somewhat incomplete and will be replaced in the future with a more complete coverage. The source data forThis coverage was the TIGER/Line files. Purpose: This digital, geographically referenced data set was developed by the Iowa Department of Natural Resources to carry out agency responsibilities related to management, protection, and development of Iowa's natural resources.
Abstract: School districts are geographic entities within which state, county, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data for school districts in the 1970 census. For Census 2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are assigned by the Department of Education and are not necessarily in alphabetical order by school district name. Purpose: This digital, geographically referenced data set was developed by the Iowa Department of Natural Resources to carry out agency responsibilities related to management, protection, and development of Iowa's natural resources.
In line with the principles of openness and public accountability, the Metropolitan Police Service publishes detailed figures for the numbers of crimes reported within its operational area and the numbers of cases that are successfully cleared up. Data includes statistics on various crimes by catagory including, homicide, VAP, other Sexual, Robbery, Burglary, Gun enabled crime,Motor Vehicle Crime, Domestic Crime, Racist Crime, and Homophobic Crime. Statistics are shown by number of events in the month by Borough.
In line with the principles of openness and public accountability, the Metropolitan Police Service publishes detailed figures for the numbers of crimes reported within its operational area and the numbers of cases that are successfully cleared up. Data includes statistics on various crimes by catagory including, homicide, VAP, other Sexual, Robbery, Burglary, Gun enabled crime,Motor Vehicle Crime, Domestic Crime, Racist Crime, and Homophobic Crime. Statistics are shown by number of events in the month by Borough.
In line with the principles of openness and public accountability, the Metropolitan Police Service publishes detailed figures for the numbers of crimes reported within its operational area and the numbers of cases that are successfully cleared up. Data includes statistics on various crimes by category including, homicide, VAP, other Sexual, Robbery, Burglary, Gun enabled crime,Motor Vehicle Crime, Domestic Crime, Racist Crime, and Homophobic Crime. Statistics are shown by number of events in the month by Borough.
Age Group by Sex, for the Census Night Population Count, 1996, 2001 and 2006 Title: Age Group by Sex, for the Census Night Population Count, 1996, 2001 and 2006 Author: Statistics New Zealand Category: Census2006 Keywords: Age Group by Sex,Census Night,Population Count,1996,2001,2006 Census night population count The census night population count of New Zealand is all people counted in New Zealand on census night. This count includes visitors from overseas who are counted on census night, but excludes New Zealand residents who are temporarily overseas on census night. The census night population count includes all people in New Zealand on census night, 7 March 2006, who were: on New Zealand soil on a vessel in New Zealand waters, or on a passage between New Zealand ports. Overseas residents and other people in diplomatic residences in New Zealand, including housekeeping staff, uniformed military personnel or members of diplomats' families are included in the census night population count. Also included are foreign military personnel and their families located in New Zealand on census night (including foreign warships in New Zealand territorial waters on census night). New Zealand military, naval and diplomatic personnel and their families located outside New Zealand on census night are not included. At a subnational level, the census night population count refers to all people who are in that place on census night. The Auckland census night population count, for example, includes overseas visitors and New Zealand residents who are temporarily visiting Auckland, but excludes people who usually live in Auckland but are elsewhere on census night. This differs from the census usually resident population count, which refers to people who usually live in Auckland.
Age Group by Sex, for the Census Night Population Count, 1996, 2001 and 2006 Title: Age Group by Sex, for the Census Night Population Count, 1996, 2001 and 2006 Author: Statistics New Zealand Category: Census2006 Keywords: Age Group by Sex,Census Night,Population Count,1996,2001,2006 Census night population count The census night population count of New Zealand is all people counted in New Zealand on census night. This count includes visitors from overseas who are counted on census night, but excludes New Zealand residents who are temporarily overseas on census night. The census night population count includes all people in New Zealand on census night, 7 March 2006, who were: on New Zealand soil on a vessel in New Zealand waters, or on a passage between New Zealand ports. Overseas residents and other people in diplomatic residences in New Zealand, including housekeeping staff, uniformed military personnel or members of diplomats' families are included in the census night population count. Also included are foreign military personnel and their families located in New Zealand on census night (including foreign warships in New Zealand territorial waters on census night). New Zealand military, naval and diplomatic personnel and their families located outside New Zealand on census night are not included. At a subnational level, the census night population count refers to all people who are in that place on census night. The Auckland census night population count, for example, includes overseas visitors and New Zealand residents who are temporarily visiting Auckland, but excludes people who usually live in Auckland but are elsewhere on census night. This differs from the census usually resident population count, which refers to people who usually live in Auckland.
Ethnic Group (Grouped Total Responses) and Maori Descent by Sex, for the Census Usually Resident Population Count, 1991, 1996, 2001 and 2006 Title: Ethnic Group (Grouped Total Responses) and Maori Descent by Sex, for the Census Usually Resident Population Count, 1991, 1996, 2001 and 2006 Author: Statistics New Zealand Category: Census2006 Keywords: Ethnic Group,(Grouped Total Responses),Maori Descent by Sex,Census,Usually Resident Population,Count,1991,1996,2001,2006 Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Ethnic Group (Grouped Total Responses) and Maori Descent by Sex, for the Census Usually Resident Population Count, 1991, 1996, 2001 and 2006 Title: Ethnic Group (Grouped Total Responses) and Maori Descent by Sex, for the Census Usually Resident Population Count, 1991, 1996, 2001 and 2006 Author: Statistics New Zealand Category: Census2006 Keywords: Ethnic Group,(Grouped Total Responses),Maori Descent by Sex,Census,Usually Resident Population,Count,1991,1996,2001,2006 Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Ethnic Group (Grouped Total Responses) and Maori Descent by Sex, for the Census Usually Resident Population Count, 1991, 1996, 2001 and 2006 Title: Ethnic Group (Grouped Total Responses) and Maori Descent by Sex, for the Census Usually Resident Population Count, 1991, 1996, 2001 and 2006 Author: Statistics New Zealand Category: Census2006 Keywords: Ethnic Group,(Grouped Total Responses),Maori Descent by Sex,Census,Usually Resident Population,Count,1991,1996,2001,2006 Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Legal Marital Status and Social Marital Status by Sex, for the Census Usually Resident Population Count Aged 15 Years and Over, 1996, 2001 and 2006 Title: Legal Marital Status and Social Marital Status by Sex, for the Census Usually Resident Population Count Aged 15 Years and Over, 1996, 2001 and 2006 Author: Statistics New Zealand Category: Census2006 Keywords: Legal Marital Status,Social Marital Status,Sex,Census,Usually Resident Population,Count,Aged 15 Years and Over Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
This dataset was created from the USDA Farmers Market database listing. The point data is usually the exact location of the market but may sometimes be the general area. Attributes include contact information, hours, and if the market takes food stamps.
Legal Marital Status and Social Marital Status by Sex, for the Census Usually Resident Population Count Aged 15 Years and Over, 1996, 2001 and 2006 Title: Legal Marital Status and Social Marital Status by Sex, for the Census Usually Resident Population Count Aged 15 Years and Over, 1996, 2001 and 2006 Author: Statistics New Zealand Category: Census2006 Keywords: Legal Marital Status,Social Marital Status,Sex,Census,Usually Resident Population,Count,Aged 15 Years and Over Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Legal Marital Status by Age Group and Sex, for the Census Usually Resident Population Count Aged 15 Years and Over, 1996, 2001 and 2006 Title: Legal Marital Status by Age Group and Sex, for the Census Usually Resident Population Count Aged 15 Years and Over, 1996, 2001 and 2006 Author: Statistics New Zealand Category: Census2006 Keywords: Legal Marital Status,Age Group and Sex,Census,Usually Resident Population,Count,Aged 15 Years and Over
Maori Descent by Age Group and Sex, for the Census Usually Resident Population Count, 1996, 2001 and 2006 Title: Maori Descent by Age Group and Sex, for the Census Usually Resident Population Count, 1996, 2001 and 2006 Author: Statistics New Zealand Category: Census2006 Keywords: Maori Descent,Age Group,Sex,Census,Usually Resident Population,Count Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Number of Children Born Alive and Highest Qualification by Age Group of Mother, for the Female Census Usually Resident Population Count Aged 15 Years and Over, 2006 Title: Number of Children Born Alive and Highest Qualification by Age Group of Mother, for the Female Census Usually Resident Population Count Aged 15 Years and Over, 2006 Author: Statistics New Zealand Category: Census2006 Keywords: Number of Children Born Alive,Highest Qualification,Age Group of Mother,Female,Census,Usually Resident Population,Count,Aged 15 Years and Over,2006 Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Number of Children Born Alive and Highest Qualification by Age Group of Mother, for the Female Census Usually Resident Population Count Aged 15 Years and Over, 2006 Title: Number of Children Born Alive and Highest Qualification by Age Group of Mother, for the Female Census Usually Resident Population Count Aged 15 Years and Over, 2006 Author: Statistics New Zealand Category: Census2006 Keywords: Number of Children Born Alive,Highest Qualification,Age Group of Mother,Female,Census,Usually Resident Population,Count,Aged 15 Years and Over,2006 Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
This dataset displays the inmate populations for all the Federal Prisons throughout the United States on 9.25.08. This weekly Population Report can be found on the Bureau of Prisons website at bop.gov. These facilities are positioned by their lat/lon and this dataset is updated on a weekly basis.
border of Uzbekistan. All these maps and databases are in the public domain.
The point shapefile shows geocoded data on FDIC insured banks ranked by amount of risky loans. FDIC releases quarterly reports on FIDC insured banks. The current data is extracted from the 2nd quarter of 2004. The risky loans in thousands of $ are computed as the sum of the following: 1. Foreclosed loans 2. Mortgages that are 30+ days in late 3. Mortgages that are 90+ days late 4. Mortgages that are more than 90 days late but are not foreclosed yet. WaMu tops the list in risky loans even during the hey days of housing sector. FDIC took over WaMu on Sep 25, 2008 and immediately sold it for less than $2 billion to Chase Morgan bank. Even in the so called better days for housing industry, the WaMu bank had the highest value of risky loans. Look elsewhere on Finder! for data on top 100 banks for other quarters.
The point shapefile shows geocoded data on FDIC insured banks ranked by amount of risky loans. FDIC releases quarterly reports on FIDC insured banks. The current data is extracted from the 2nd quarter of 2005. The risky loans in thousands of $ are computed as the sum of the following: 1. Foreclosed loans 2. Mortgages that are 30+ days in late 3. Mortgages that are 90+ days late 4. Mortgages that are more than 90 days late but are not foreclosed yet. WaMu tops the list in risky loans even during the hey days of housing bubble. FDIC took over WaMu on Sep 25, 2008 and immediately sold it for less than $2 billion to JP Morgan bank. Even in the so called better days for housing industry, the WaMu bank had the highest value of risky loans. Look elsewhere on Finder! for data on top 100 banks for other quarters.
The point shapefile shows geocoded data on FDIC insured banks ranked by amount of risky loans. FDIC releases quarterly reports on FIDC insured banks. The current data is extracted from the 2nd quarter of 2006. The risky loans in thousands of $ are computed as the sum of the following: 1. Foreclosed loans 2. Mortgages that are 30+ days in late 3. Mortgages that are 90+ days late 4. Mortgages that are more than 90 days late but are not foreclosed yet. WaMu tops the list in risky loans even during the hey days of housing bubble. FDIC took over WaMu on Sep 25, 2008 and immediately sold it for less than $2 billion to JP Morgan bank. Even in the so called better days for housing industry, the WaMu bank had the highest value of risky loans. Look elsewhere on Finder! for data on top 100 banks for other quarters.
The point shapefile shows geocoded data on FDIC insured banks ranked by amount of risky loans. FDIC releases quarterly reports on FIDC insured banks. The current data is extracted from the 2nd quarter of 2007. The risky loans in thousands of $ are computed as the sum of the following: 1. Foreclosed loans 2. Mortgages that are 30+ days in late 3. Mortgages that are 90+ days late 4. Mortgages that are more than 90 days late but are not foreclosed yet. WaMu tops the list in risky loans even during the hey days of housing bubble. FDIC took over WaMu on Sep 25, 2008 and immediately sold it for less than $2 billion to JP Morgan bank. Even in the so called better days for housing industry, the WaMu bank had the highest value of risky loans. Look elsewhere on Finder! for data on top 100 banks for other quarters.
The point shapefile shows geocoded data on FDIC insured banks ranked by amount of risky loans. FDIC releases quarterly reports on FIDC insured banks. The current data is extracted from the 2nd quarter of 2008. The risky loans in thousands of $ are computed as the sum of the following: 1. Foreclosed home mortgages 2. Mortgages that are 30+ days in late 3. Mortgages that are 90+ days late 4. Mortgages that are more than 90 days late but are not foreclosed yet. WaMu tops the list in risky loans even during the hey days of housing bubble. FDIC took over WaMu on Sep 25, 2008 and immediately sold it for less than $2 billion to JP Morgan bank. Even in the so called better days for housing industry, the WaMu bank had the highest value of risky loans. Look elsewhere on Finder! for data on top 100 banks for other quarters.
Gross domestic product based on purchasing-power-parity (PPP) per capita GDP (Current international dollar) These data form the basis for the country weights used to generate the World Economic Outlook country group composites for the domestic economy. The data covers actual values from 2000 to 2007 and predicted values from 2007 to 2013. For some countries this varies though and predicted values are recorded earlier than 2007. See the attribute field 'Estimates Start After' to see when a particular country's figures are estimates. Please note: The IMF is not a primary source for purchasing power parity (PPP) data. WEO weights have been created from primary sources and are used solely for purposes of generating country group composites. For primary source information, please refer to one of the following sources: the Organization for Economic Cooperation and Development, the World Bank, or the Penn World Tables. For further information see Box A2 in the April 2004 World Economic Outlook, Box 1.2 in the September 2003 World Economic Outlook for a discussion on the measurement of global growth and Box A.1 in the May 2000 World Economic Outlook for a summary of the revised PPP-based weights, and Annex IV of the May 1993 World Economic Outlook. See also Anne Marie Gulde and Marianne Schulze-Ghattas, Purchasing Power Parity Based Weights for the World Economic Outlook, in Staff Studies for the World Economic Outlook (Washington: IMF, December 1993), pp. 106-23.
This datasets displays the locations of all recorded earthquakes of a magnitude of 1 or greater around the world from the period of 9.22.08 to 9.29.08. The findings are from the US Geological Survey (USGS). Earthquake information is extracted from a merged catalog of earthquakes located by the USGS and contributing networks. Earthquakes will be broadcast within a few minutes for California events and within 30-minutes for world-wide events.
This coverage represents year MODIS fire detections for the 7 day period specified for the geographic area covering the conterminous United States, Alaska, Hawaii, Canada and northern Mexico. The detections are obtained using both TERRA MODIS and AQUA MODIS data are collected and processed as a cooperative effort between the USDA Forest Service Remote Sensing Application Center, NASA-Goddard Space Flight Center and the University of Maryland. These fire detection data are collected for the USDA Forest Service MODIS Active Fire Mapping Program (http://activefiremaps.fs.fed.us). These data are intended to provide a synoptic view of active fires for the past and present over the specified time period. These data are collected at a spatial resolution of 1 kilometer and therefore are only intended for geographic display and analysis at the national and regional levels. No responsibility is assumed by the USDA Forest Service in the use of these data.
This dataset provides the number of houses by religion and gender of head of household. Data are at the state level.
Number of Children Born Alive and Highest Qualification by Age Group of Mother, for the Female Census Usually Resident Population Count Aged 15 Years and Over, 2006 Title: Number of Children Born Alive and Highest Qualification by Age Group of Mother, for the Female Census Usually Resident Population Count Aged 15 Years and Over, 2006 Author: Statistics New Zealand Category: Census2006 Keywords: Number of Children Born Alive,Highest Qualification,Age Group of Mother,Female,Census,Usually Resident Population,Count,Aged 15 Years and Over,2006 Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Social Marital Status by Age Group and Sex, for the Census Usually Resident Population Count Aged 15 Years and Over, 1996, 2001 and 2006 Title: Social Marital Status by Age Group and Sex, for the Census Usually Resident Population Count Aged 15 Years and Over, 1996, 2001 and 2006 Author: Statistics New Zealand Category: Census2006 Keywords: Social Marital Status,Age Group and Sex,Census,Usually Resident Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
The Transparency International CPI measures the perceived levels of public-sector corruption in a given country and is a composite index, drawing on different expert and business surveys. The 2008 CPI scores 180 countries (the same number as the 2007 CPI) on a scale from zero (highly corrupt) to ten (highly clean). Denmark, New Zealand and Sweden share the highest score at 9.3, followed immediately by Singapore at 9.2. Bringing up the rear is Somalia at 1.0, slightly trailing Iraq and Myanmar at 1.3 and Haiti at 1.4. While score changes in the Index are not rapid, statistically significant changes are evident in certain countries from the high to the low end of the CPI. Looking at source surveys included in both the 2007 and 2008 Index, significant declines can be seen in the scores of Bulgaria, Burundi, Maldives, Norway and the United Kingdom. Similarly, statistically significant improvements over the last year can be identified in Albania, Cyprus, Georgia, Mauritius, Nigeria, Oman, Qatar, South Korea, Tonga and Turkey. Whether in high or low-income countries, the challenge of reigning in corruption requires functioning societal and governmental institutions. Poorer countries are often plagued by corrupt judiciaries and ineffective parliamentary oversight. Wealthy countries, on the other hand, show evidence of insufficient regulation of the private sector, in terms of addressing overseas bribery by their countries, and weak oversight of financial institutions and transactions.
This dataset displays locations of the all the stadiums in Spain where La Liga Clubs play. The data has the name of the stadium, the lat/lon, the city, and the capacity. The data was collected from wikipedia in 9.2007
"CrunchBase is the free database of technology companies, people, and investors that anyone can edit." see source for more info.
Cabelas is a specialty retailer of hunting, fishing, camping and related outdoor recreation merchandise based in Sidney, NE. It uses catalogs, the Internet, and has 26 retail stores throughout the United States. This dataset maps the 26 Cabelas retail stores. The physical address and phone numbers were retrieved from cabelas.com and the address was then geocoded to find the exact lat/lon of the store's location. The data is current as of 12.2007. Several more stores are being planned to open in the future. These sites can be seen on another dataset entitled, "Future Cabelas Store Locations 12.2007" For more info, go to cabelas.com Data accessed on December 10th, 2007
"CrunchBase is the free database of technology companies, people, and investors that anyone can edit."
Data on pollution concentration in major cities of Chile
"CrunchBase is the free database of technology companies, people, and investors that anyone can edit." see source for more info.
This dataset displays all the locations of all the Tesco Express locations throughout the UK. Tesco Express are scaled down versions of Tesco's regular supermarkets. They are designed for people on the move who desire a place where they can are able to pick up high end products.
"CrunchBase is the free database of technology companies, people, and investors that anyone can edit." see source for more info.
"CrunchBase is the free database of technology companies, people, and investors that anyone can edit." see source for more info.
"CrunchBase is the free database of technology companies, people, and investors that anyone can edit." see source for more info. this layer includes only technology firms which reported total funding.
"CrunchBase is the free database of technology companies, people, and investors that anyone can edit." see source for more info.
A highly simplified county boundary file for the lower 48 states. Contains FIPS, for linking with government data sources.
Abstract: This coverage contains polygons representing the new U.S. House of Representatives district boundaries. These boundaries were created by redistricting after the 2000 census. The original data was shapefiles provided by the Iowa Legislative Services Bureau. Purpose: This digital, geographically referenced data set was developed by the Iowa Department of Natural Resources to carry out agency responsibilities related to management, protection, and development of Iowa's natural resources.
Abstract: Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified. Purpose: This digital, geographically referenced data set was developed by the Iowa Department of Natural Resources to carry out agency responsibilities related to management, protection, and development of Iowa's natural resources.
Abstract: This coverage contains polygons that represent the boundaries of land areas in Iowa that are managed by the Iowa Department of Natural Resources (DNR) Wildlife Bureau . Purpose: This digital, geographically referenced data set was developed by the Iowa Department of Natural Resources to carry out agency responsibilities related to management, protection, and development of Iowa's natural resources. Supplemental_Information: This coverage will be updated as new plats are added or updated by the Land Acquisition Bureau. It will also be updated as new areas are turned over for management by the Wildlife Bureau from other entities (CCB, ACOE, USFWS, etc.).
Abstract: This coverage contains polygons depicting the boundaries of Inviolate Refuges that occur on Wildlife Management Areas owned & managed by the Iowa DNR's Wildlife Bureau. It is unlawful to trespass in any manner on wildlife refuges, where posted, between the dates of September 10 and December 25 of each year, both days inclusive. Purpose: This digital, geographically referenced data set was developed by the Iowa Department of Natural Resources to carry out agency responsibilities related to management, protection, and development of Iowa's natural resources.
Abstract: A ZIP Code tabulation area (ZCTA) is a statistical geographic entity that approximates the delivery area for a U.S. Postal Service five-digit or three-digit ZIP Code. ZCTAs are aggregations of census blocks that have the same predominant ZIP Code associated with the addresses in the U.S. Census Bureau's Master Address File (MAF). Three-digit ZCTA codes are applied to large contiguous areas for which the U.S. Census Bureau does not have five-digit ZIP Code information in its MAF. ZCTAs do not precisely depict ZIP Code delivery areas, and do not include all ZIP Codes used for mail delivery. The U.S. Census Bureau has established ZCTAs as a new geographic entity similar to, but replacing, data tabulations for ZIP Codes undertaken in conjunction with the 1990 and earlier censuses. Purpose: This digital, geographically referenced data set was developed by the Iowa Department of Natural Resources to carry out agency responsibilities related to management, protection, and development of Iowa's natural resources. Supplemental_Information: Additional zipcode boundaries have been "inserted" into this file by Chris Kahle, to create existing, but non-represented, zipcode areas.
Abstract: The DNR requires a permit for certain animal waste control facilities depending on the number of animals and waste control structure. Those facilities which require a permit are contained in this coverage and go back to 1987. Purpose: This digital, geographically referenced data set was developed by the Iowa Department of Natural Resources to carry out agency responsibilities related to management, protection, and development of Iowa's natural resources. Supplemental_Information: The facilities in this coverage are from the period 1987 through February, 2001. Facilities are permitted regularly and this coverage will be updated periodically to include those facilities.
This dataset provides the "number of households availing banking services and number of households having each of the specified asset". Data come from the 2001 Census of India an are at the state level.
hydrology from USGS
The point shapefile shows geocoded list of failed banks from FDIC's website. There are 11 banks, which include big regional bank such as IndyMac, which was taken into conservatorship by FDIC on 11th July 2008. Compared to 2008, there were only 3 bank failures in 2007. Between them these 11 banks held total deposits worth over $40 billion.
Sweden county borders from 2007.
Abstract: Agricultural drainage wells were located to 1/4, 1/4 sections and locations were calculated from the registered location. This coverage was created by putting a 400 meter buffer around all of the points in ADW. Purpose: This digital, geographically referenced data set was developed by the Iowa Department of Natural Resources to carry out agency responsibilities related to management, protection, and development of Iowa's natural resources.
Abstract: Locations of surface intakes for registered agriculture drainage wells according to the database maintained by IDALS. Surface intakes were located from their descriptions in the surf_in database and linked to the agriculture drainage well location number. Purpose: This digital, geographically referenced data set was developed by the Iowa Department of Natural Resources to carry out agency responsibilities related to management, protection, and development of Iowa's natural resources.
Abstract: Agricultural drainage wells are required to be registered both with the Iowa Department of Natural Resources as a part of the 1987 Groundwater Protection Act, and with the U.S. Environmental Protection Agency as a part of the Underground Injection Control Program. Subsequent to this amendment to Iowa Code, Senate File 473 was passed in 1997. The bill required "owners or agricultural drainage wells to prevent surface water intake into the wells, provid[ed] for the closure of certain wells and the construction of alternative drainage systems, provid[ed] state assistance for closing agricultural drainage well, prohibit[ed] the construction and use of certain structures located in agricultural drainage well areas, provid[ed] for the assessment and collection of certain drainage district expenses, provid[ed] penalties, and provid[ed] an effective date" for closures. This date was originally set as December 31, 1999 but was later amended to December 31, 2001. In 1998, following this legislation, ADW locations were computed from legal descriptions available and by hand drawn locations on section maps. The Iowa Department of Agriculture and Land Stewardship performed field checking of the location and function of each ADW registered and developed a database from this information. This information was used to create the ADW coverage ag_drain_well.shp Purpose: This digital, geographically referenced data set was developed by the Iowa Department of Natural Resources to carry out agency responsibilities related to management, protection, and development of Iowa's natural resources.
Purpose: This digital, geographically referenced data set was developed by the Iowa Department of Natural Resources to carry out agency responsibilities related to management, protection, and development of Iowa's natural resources. Supplemental_Information: Starting with the 20070323 version, locations should be located on the facility, and confinements and feedlots are included. Abstract: This file contains locations of animal feeding operations that are registered, permitted or monitored by the Iowa DNR.
Abstract: This coverage represents the townships in Iowa that have atrazine restrictions restrictions of 1.5 lbs./acre. Purpose: This digital, geographically referenced data set was developed by the Iowa Department of Natural Resources to carry out acency responsibilities related to management, protection, and development of Iowa's natural resources.
Purpose: This digital, geographically referenced data set was developed by the Iowa Department of Natural Resources to carry out agency responsibilities related to management, protection, and development of Iowa's natural resources. Supplemental_Information: This coverage supplants the CAFOs coverage, due to the legal definition for CAFO meaning only facilities with 1000 animal units or more. Abstract: This file contains locations of confinement feeding operations that are registered with the Iowa DNR.
Abstract: This file contains the known locations of captive cervid (deer and elk) herds in Iowa. Purpose: This digital, geographically referenced data set was developed by the Iowa Department of Natural Resources to carry out agency responsibilities related to management, protection, and development of Iowa's natural resources.
This dataset has data on population by socio-economic groups throughout towns in Ireland that have a population of over 1000. The data includes both number and percentages for the following socio-economic groups: employers and managers, higher professional, lower professional, non-manual, manual skilled, semi-skilled, unskilled, own account workers, farmers, agricultural workers, and others gainfully occupied and unknown workers. The towns have been geolocated by their lat/lon position. For more info about the data go to cso.ie/census.
City boundary of Belmont, CA.
The study develops a new method to measure the impacts of climate change on agriculture called the Agro-Ecological Zone (AEZ) Model. A multinomial logit is estimated to predict the probability of each AEZ in each district. The average percentage of cropland and average crop net revenue are calculated for each AEZ. Then an estimate of the amount of cropland in Africa and where it is located is provided. Using current conditions, the model calculates baseline values of cropland and crop net revenue, and estimates the future impact of climate change using two scenarios-harsh and mild. Total cropland does not change much across the two climate scenarios. However, the predicted change in African crop revenue ranges from a loss of 14 percent in the mild climate scenario to 30 percent in the harsher climate scenario. The analysis reveals that the greatest harm from climate change is that it will shift farms from high to low productive AEZs. The approach not only identifies the aggregate impacts, but also indicates where the impacts occur across Africa. The central region of Africa is hurt the most, especially in the harsher climate scenario. The Agro-Ecological Zone Model is a promising new method for valuing the long-term impacts of climate change on agriculture.
Naturschutzgebiete sterreich
changes in voter registration numbers in virginia
This data set displays the first level administrative boundaries for Haiti. Also included in this data are some demographic entries regarding the population in 2003 and 1982. Also, the area, capital, and the former name of each department. This data was found through Statoid on September 30, 2008. please take special note that data for Nippes Department is incomplete and has been filled with zeros as place holders.
DHS administrative areas are where the DHS sample is representative of the population. In general, DHS uses the 1st administrative area (e.g. province or region). However, in some cases the sampling frame combines two or more 1st administrative areas or uses major cities as a separate region. Abstract: Annual five-year age/sex group estimates for 2000-2010 for subnational areas of Haiti were prepared by the U.S. Census Bureau and linked as attribute data to boundary shapefiles. The estimates are consistent with the midyear national projections from the U.S. Census Bureau International Data Base. Purpose: The U.S. Census Bureau is providing annual subnational population five-year age/sex group estimates for 2000 to 2010 in a geographic information system (GIS) for users of the HIV Spatial Data Repository, funded by the U.S. President's Emergency Plan for AIDS Relief (PEPFAR) program.
Usual Residence Five Years Ago (2001) by Age Group and Sex, for the Census Usually Resident Population Count, 2006 Title: Usual Residence Five Years Ago (2001) by Age Group and Sex, for the Census Usually Resident Population Count, 2006 Author: Statistics New Zealand Category: Census2006 Keywords: Usual Residence,Five Years Ago,2001,Age Group,Sex,Census,Usually Resident,Population,Count Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Ontario upper tier municipal boundaries
Polluted air is a major health hazard in developing countries. Improvements in pollution monitoring and statistical techniques during the last several decades have steadily enhanced the ability to measure the health effects of air pollution. Current methods can detect significant increases in the incidence of cardiopulmonary and respiratory diseases, coughing, bronchitis, and lung cancer, as well as premature deaths from these diseases resulting from elevated concentrations of ambient Particulate Matter (Holgate 1999). Scarce public resources have limited the monitoring of atmospheric particulate matter (PM) concentrations in developing countries, despite their large potential health effects. As a result, policymakers in many developing countries remain uncertain about the exposure of their residents to PM air pollution. The Global Model of Ambient Particulates (GMAPS) is an attempt to bridge this information gap through an econometrically estimated model for predicting PM levels in world cities (Pandey et al. forthcoming). The estimation model is based on the latest available monitored PM pollution data from the World Health Organization, supplemented by data from other reliable sources. The current model can be used to estimate PM levels in urban residential areas and non-residential pollution hotspots. The results of the model are used to project annual average ambient PM concentrations for residential and non-residential areas in 3,226 world cities with populations larger than 100,000, as well as national capitals.
Usual Residence Five Years Ago (2001) by Age Group and Sex, for the Census Usually Resident Population Count, 2006 Title: Usual Residence Five Years Ago (2001) by Age Group and Sex, for the Census Usually Resident Population Count, 2006 Author: Statistics New Zealand Category: Census2006 Keywords: Usual Residence,Five Years Ago,2001,Age Group,Sex,Census,Usually Resident,Population,Count Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Years at Usual Residence by Age Group and Sex, for the Census Usually Resident Population Count, 2006 Title: Years at Usual Residence by Age Group and Sex, for the Census Usually Resident Population Count, 2006 Author: Statistics New Zealand Category: Census2006 Keywords: Years at Usual Residence,Age Group,Sex,Census,Usually Resident Population,Count Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Years at Usual Residence by Age Group and Sex, for the Census Usually Resident Population Count, 2006 Title: Years at Usual Residence by Age Group and Sex, for the Census Usually Resident Population Count, 2006 Author: Statistics New Zealand Category: Census2006 Keywords: Years at Usual Residence,Age Group,Sex,Census,Usually Resident Population,Count Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
2 - Ontario upper-tier municipalities
Ethnic Group (Grouped Total Responses) and Maori Descent by Sex, for the Census Usually Resident Population Count, 1991, 1996, 2001 and 2006 Title: Ethnic Group (Grouped Total Responses) and Maori Descent by Sex, for the Census Usually Resident Population Count, 1991, 1996, 2001 and 2006 Author: Statistics New Zealand Category: Census2006 Keywords: Ethnic Group,(Grouped Total Responses),Maori Descent by Sex,Census,Usually Resident Population,Count,1991,1996,2001,2006 Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Ethnic Group (Grouped Total Responses) and Maori Descent by Sex, for the Census Usually Resident Population Count, 1991, 1996, 2001 and 2006 Title: Ethnic Group (Grouped Total Responses) and Maori Descent by Sex, for the Census Usually Resident Population Count, 1991, 1996, 2001 and 2006 Author: Statistics New Zealand Category: Census2006 Keywords: Ethnic Group,(Grouped Total Responses),Maori Descent by Sex,Census,Usually Resident Population,Count,1991,1996,2001,2006 Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Ethnic Group (Grouped Total Responses) and Maori Descent by Sex, for the Census Usually Resident Population Count, 1991, 1996, 2001 and 2006 Title: Ethnic Group (Grouped Total Responses) and Maori Descent by Sex, for the Census Usually Resident Population Count, 1991, 1996, 2001 and 2006 Author: Statistics New Zealand Category: Census2006 Keywords: Ethnic Group,(Grouped Total Responses),Maori Descent by Sex,Census,Usually Resident Population,Count,2001,2006 Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Mapa de profundidad del suelo, generado con tcnicas edafomtricas, perteneciente al Sistema de Informacin Espacial de los Suelos de Andalucia
US States
data for feature 100 of http://wals.info/
Non-Client Chambers with 300+ Members
This dataset is from the website USA Election Polls. The data represents the results of various poll done during time periods the differ for each state.
Estaciones del Tren de La Robla. La Robla Railway Stations
Non Clilent Chambers with 300+ Members v2
All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Vietnam. Power Plant emissions from all power plants in Vietnam were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information
This is a dataset that displays in what countries each species of primate can be found. Some species have be lumped together, such as all Lemurs, since all lemurs are only found in Madagascar. There is also an attribute which displays how many species are found in each country.
Transmission line data
This is a dataset that displays in what countries each species of primate can be found. Some species have be lumped together, such as all Lemurs, since all lemurs are only found in Madagascar. There is also an attribute which displays how many species are found in each country.
This data set is provided by the Intergovernmental Panel on Climate Change, and contains a number of socio-economic indicators for coutnries worldwide. Information is included on population and human development, Economic conditions, land cover and use, water, agriculture and food, energy, and biodiversity. This data is a compilation from a number of different sources including the United Nations, FAO, and others. Please note that the blank fields in the original data set have been replaced with -50 as a place holder. Please make note of this if you are performing statistical analysis on this data set.
Obesity in the US, 2007
Show the metals of each country in Olmpics 2008
This data displays average annual surface temperatures at various GISS Stations throughout areas around Iceland and Greenland. The temperatures cover the years from 1967 to 2007. Also values were created to show the average of yearly averages from 1967 to 1977 and from 1997 to 2007. Then the difference between these two year periods was shown. At all stations there was an increase in temperature which is a possible sign of climate change and global warming.
This dataset displays the inmate populations for all the Federal Prisons throughout the United States on 10.2.08. This weekly Population Report can be found on the Bureau of Prisons website at bop.gov. These facilities are positioned by their lat/lon and this dataset is updated on a weekly basis.
These points are Town Offices in Westford
This dataset contains of the number of births in 2000 by gender of the infant. Data are from Census of India 2001.
This dataset contains "Number of women and ever married women by present age, parity and total children ever born" from the Census of India 2001.
This dataset contains number of households by availability and type of bathroom or latrine. Data are from the Census of India 2001.
This dataset contains the numbers of international migrants from each state from the Census of India 2001.
This dataset contains number of migrants by place of birth from the Census of India 2001.
This dataset contains data on the economic activity of migrants by state from the Census of India 2001.
Oil Wells NE BC
The number of US road bridges by state in 2007 and the percentage of structurally deficient and functionally obsolete ones.
The $700 billion bailout bill passed by Congress and signed into law by President Bush on Friday, Oct 03, 2008. Before the bailout, Federal Govt had already committed to nearly a trillion dollars spending rescueing Freddie and Fannie, AIG, Bear Stearns etc. The total including bailout comes to nearly $1.8 trillion $s. Each of the gov agency and private recipients were geocoded and a point shapefile was created where each point has an estimate of govt tax $s that may be involved in the rescue plan that really started with Bear Stearns and culminated in the $700 billion bailout bill. Main source: http://news.cnet.com/8301-13578_3-10057618-38.html?tag=nl.e433
This datasets displays the locations of all recorded earthquakes of a magnitude of 1 or greater around the world from the period of 9.29.08 to 10.6.08. The findings are from the US Geological Survey (USGS). Earthquake information is extracted from a merged catalog of earthquakes located by the USGS and contributing networks. Earthquakes will be broadcast within a few minutes for California events and within 30-minutes for world-wide events.
This coverage represents year MODIS fire detections for the 7 day period specified for the geographic area covering the conterminous United States, Alaska, Hawaii, Canada and northern Mexico. The detections are obtained using both TERRA MODIS and AQUA MODIS data are collected and processed as a cooperative effort between the USDA Forest Service Remote Sensing Application Center, NASA-Goddard Space Flight Center and the University of Maryland. These fire detection data are collected for the USDA Forest Service MODIS Active Fire Mapping Program (http://activefiremaps.fs.fed.us). These data are intended to provide a synoptic view of active fires for the past and present over the specified time period. These data are collected at a spatial resolution of 1 kilometer and therefore are only intended for geographic display and analysis at the national and regional levels. No responsibility is assumed by the USDA Forest Service in the use of these data.
This dataset contains the population by gender, and area of each state from the Census of India 2001.
This dataset contains houseless population from the Census of India 2001.
This dataset contains the religious composition by gender from the Census of India 2001.
This map comes from The Weather Channel's website in their Pets Welcome category. It describes the times of the year when fleas are active among all the states in the USA. Flea season is greatly influenced by weather conditions such as temperature and humidity. See when fleas are most likely to be active in your area. This information is provided for educational purposes only and is intended to be a supplement to, and not a substitute for, the expertise and professional judgment of your pet's veterinarian. It may be necessary to consult your pet's veterinarian regarding the applicability of any opinions or recommendations with respect to your pet's care, symptoms or medical condition.
This dataset contains the slum population by gender form the Census of India 2001.
This dataset contains workers by industrial category by gender from the Census of India 2001.
This dataset shows the locations of all IKEA stores worldwide. The data was created by geocoding the address from each IKEA store location. THe addresses we found from the IKEA website.
The poly shapefile shows the latest data on percentage of population for each of the lower states that uses food stamps. As of July 2008, the total for all the states (including District of Columbia) has gone up by about a million compared to June, 2007.
This data displays on a state to state basis the type of statewide smoking bans that have been enacted into state law. The information comes from wikipedia and is current as of 9.21.2008. The source cite itself has much more information on the subject including city bans and dates that laws were enacted by state. Value Scale: 5 = No Statewide Ban 4 = Banned in Non-Hospitality Workplaces 3 = Banned in Restaurants 2 = Banned in Restaurants and Non-Hospitality Workplaces 1 = Banned in Restaurants, Bars, and Non-Hospitality Workplaces
Boundaries of all the Kentucky State Congressional Districts
This dataset was created from the USDA Farmers Market database listing. The point data is usually the exact location of the market but may sometimes be the general area. Attributes include contact information, hours, and if the market takes food stamps.
Abstract: This GIS coverage represents an approximation of the public drainage district boundaries in Iowa. Purpose: This digital, geographically referenced data set was developed by the Iowa Department of Natural Resources to carry out agency responsibilities related to management, protection, and development of Iowa's natural resources.
Number of Children Born Alive by Ethnic Group (Grouped Total Responses) of Mother, for the Female Census Usually Resident Population Count Aged 15 Years and Over, 1996 and 2006 Title: Number of Children Born Alive by Ethnic Group (Grouped Total Responses) of Mother, for the Female Census Usually Resident Population Count Aged 15 Years and Over, 1996 and 2006 Author: Statistics New Zealand Category: Census2006 Keywords: Number of Children Born Alive,Ethnic Group,Grouped Total Responses,Mother,Female,Census,Usually Resident Population,Count,Aged 15 Years and Over Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Legal Marital Status and Social Marital Status by Sex, for the Census Usually Resident Population Count Aged 15 Years and Over, 1996, 2001 and 2006 Title: Legal Marital Status and Social Marital Status by Sex, for the Census Usually Resident Population Count Aged 15 Years and Over, 1996, 2001 and 2006 Author: Statistics New Zealand Category: Census2006 Keywords: Legal Marital Status,Social Marital Status,Sex,Census,Usually Resident Population,Count,Aged 15 Years and Over Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
This dataset was created from the USDA Farmers Market database listing. The point data is usually the exact location of the market but may sometimes be the general area. Attributes include contact information, hours, and if the market takes food stamps.
Legal Marital Status and Social Marital Status by Sex, for the Census Usually Resident Population Count Aged 15 Years and Over, 1996, 2001 and 2006 Title: Legal Marital Status and Social Marital Status by Sex, for the Census Usually Resident Population Count Aged 15 Years and Over, 1996, 2001 and 2006 Author: Statistics New Zealand Category: Census2006 Keywords: Legal Marital Status,Social Marital Status,Sex,Census,Usually Resident Population,Count,Aged 15 Years and Over Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
medals count for all countries attending 2008 Olympic Games
Abstract: The DNR requires a manure management plan (MMP) for animal feeding operations (excluding poultry) depending on the total live weight of the animals housed at the operation. Generally, a hog operation above 200,000 pounds or a cattle operation above 400,000 pounds live weight is required to submit an MMP. Operations which also have a permit are not included here. Purpose: This digital, geographically referenced data set was developed by the Iowa Department of Natural Resources to carry out agency responsibilities related to management, protection, and development of Iowa's natural resources. Supplemental_Information: The operations shown in this shapefile submitted MMPs between January 1999 through December 2001. Operations submit MMPs before they can begin business, so it is expected that MMPs will continue to come into the IDNR. This shapefile will be updated periodically to reflect these changes.
Purpose:
This digital, geographically referenced data set was developed by the Iowa Department of Natural Resources to carry out agency responsibilities related to management, protection, and development of Iowa's natural resources.
Abstract:
Currently, the Animal Feeding Operations (AFO) database does not allow facilities to be queried by watershed, therefore, this coverage was developed to assist with locating open feedlots spatially. This coverage was created using locations listed in the AFO database and registrations submitted as part of the Iowa Plan. All registrations in the Iowa Plan were voluntary. Animal units were generally assigned as reported on registrations and construction permit applications, however, some numbers were modified based on Statement of Intent forms or site visits. Animal numbers should only be used as estimates. No quality control procedures were used to verify these animal numbers. The information contained in this coverage was developed from November, 2006, to March, 2007, therefore, any changes that were made to the AFO database during that time may not have been included. 52 operations were not mapped either because there was insufficient location information or because they were suspected to be duplicates of mapped operations.
Supplemental_Information:
Information related to the IDNR's Animal Feedling Operations program can be found at
Abstract: Orchard locations in the state of Iowa. Purpose: This digital, geographically referenced data set was developed by the Iowa Department of Natural Resources to carry out agency responsibilities related to management, protection, and development of Iowa's natural resources.
Abstract: This file contains locations of known facilities where the rendering process takes place in Iowa. It does not include transfer stations or call-in locations. Purpose: This digital, geographically referenced data set was developed by the Iowa Department of Natural Resources to carry out agency responsibilities related to management, protection, and development of Iowa's natural resources.
Abstract: Vineyard locations in the state of Iowa. Purpose: This digital, geographically referenced data set was developed by the Iowa Department of Natural Resources to carry out agency responsibilities related to management, protection, and development of Iowa's natural resources.
The policy topics that fall under the general heading of Alcohol Control Systems describe the systems for wholesale and retail distribution of alcoholic beverages in each State and the District of Columbia. For each beverage type (beer, wine, distilled spirits) a State may use a State-run distribution system, a system of private licensed sellers, or some combination of these at the wholesale level, the retail level, or both. All States with a license wholesale system also have a license retail system. However, States with State-run wholesale systems may have either State-run or license retail systems. No State maintains a State-run system of retail sale for on-premises consumption. Values: 1 = License for All Alcoholic Beverages: A system in which a State licenses private vendors to operate wholesale or retail systems of distribution of an alcoholic beverage type or subtypealso called a private system. 2 = License for Beer: A system in which a State licenses private vendors to operate wholesale or retail systems of distribution of an alcoholic beverage type or subtypealso called a private system. 3 = Mixed/Overlapping: A system in which some or all beverage subtypes are sold through both the state-run and license systems. 4 = Mixed/Not Overlapping: A system in which some beverage subtypes are sold through the state-run system and other beverage subtypes are sold through the license system, but none are sold through both
The policy topics that fall under the general heading of Alcohol Control Systems describe the systems for wholesale and retail distribution of alcoholic beverages in each State and the District of Columbia. For each beverage type (beer, wine, distilled spirits) a State may use a State-run distribution system, a system of private licensed sellers, or some combination of these at the wholesale level, the retail level, or both. All States with a license wholesale system also have a license retail system. However, States with State-run wholesale systems may have either State-run or license retail systems. No State maintains a State-run system of retail sale for on-premises consumption. Values: 1 = License for All Alcoholic Beverages: A system in which a State licenses private vendors to operate wholesale or retail systems of distribution of an alcoholic beverage type or subtypealso called a private system. 2 = License for Beer: A system in which a State licenses private vendors to operate wholesale or retail systems of distribution of an alcoholic beverage type or subtypealso called a private system. 3 = Mixed/Overlapping: A system in which some or all beverage subtypes are sold through both the state-run and license systems. 4 = Mixed/Not Overlapping: A system in which some beverage subtypes are sold through the state-run system and other beverage subtypes are sold through the license system, but none are sold through both
The policy topics that fall under the general heading of Alcohol Control Systems describe the systems for wholesale and retail distribution of alcoholic beverages in each State and the District of Columbia. For each beverage type (beer, wine, distilled spirits) a State may use a State-run distribution system, a system of private licensed sellers, or some combination of these at the wholesale level, the retail level, or both. All States with a license wholesale system also have a license retail system. However, States with State-run wholesale systems may have either State-run or license retail systems. No State maintains a State-run system of retail sale for on-premises consumption. Values: 1 = License for All Alcoholic Beverages: A system in which a State licenses private vendors to operate wholesale or retail systems of distribution of an alcoholic beverage type or subtypealso called a private system. 2 = License for Beer: A system in which a State licenses private vendors to operate wholesale or retail systems of distribution of an alcoholic beverage type or subtypealso called a private system. 3 = Mixed/Overlapping: A system in which some or all beverage subtypes are sold through both the state-run and license systems. 4 = Mixed/Not Overlapping: A system in which some beverage subtypes are sold through the state-run system and other beverage subtypes are sold through the license system, but none are sold through both
The policy topics that fall under the general heading of Alcohol Control Systems describe the systems for wholesale and retail distribution of alcoholic beverages in each State and the District of Columbia. For each beverage type (beer, wine, distilled spirits) a State may use a State-run distribution system, a system of private licensed sellers, or some combination of these at the wholesale level, the retail level, or both. All States with a license wholesale system also have a license retail system. However, States with State-run wholesale systems may have either State-run or license retail systems. No State maintains a State-run system of retail sale for on-premises consumption. Values: 1 = License for All Alcoholic Beverages: A system in which a State licenses private vendors to operate wholesale or retail systems of distribution of an alcoholic beverage type or subtypealso called a private system. 2 = License for Beer: A system in which a State licenses private vendors to operate wholesale or retail systems of distribution of an alcoholic beverage type or subtypealso called a private system. 3 = Mixed/Overlapping: A system in which some or all beverage subtypes are sold through both the state-run and license systems. 4 = Mixed/Not Overlapping: A system in which some beverage subtypes are sold through the state-run system and other beverage subtypes are sold through the license system, but none are sold through both 5 = State-Run: An alcohol control system for wholesale and/or off-premises retail distribution of an alcoholic beverage type or subtype in which a State sets the prices of and gains profit/revenue directly from wholesale and/or retail off-premises sales
The policy topics that fall under the general heading of Alcohol Control Systems describe the systems for wholesale and retail distribution of alcoholic beverages in each State and the District of Columbia. For each beverage type (beer, wine, distilled spirits) a State may use a State-run distribution system, a system of private licensed sellers, or some combination of these at the wholesale level, the retail level, or both. All States with a license wholesale system also have a license retail system. However, States with State-run wholesale systems may have either State-run or license retail systems. No State maintains a State-run system of retail sale for on-premises consumption. Values: 1 = License for All Alcoholic Beverages: A system in which a State licenses private vendors to operate wholesale or retail systems of distribution of an alcoholic beverage type or subtypealso called a private system. 2 = License for Beer: A system in which a State licenses private vendors to operate wholesale or retail systems of distribution of an alcoholic beverage type or subtypealso called a private system. 3 = Mixed/Overlapping: A system in which some or all beverage subtypes are sold through both the state-run and license systems. 4 = Mixed/Not Overlapping: A system in which some beverage subtypes are sold through the state-run system and other beverage subtypes are sold through the license system, but none are sold through both 5 = State-Run: An alcohol control system for wholesale and/or off-premises retail distribution of an alcoholic beverage type or subtype in which a State sets the prices of and gains profit/revenue directly from wholesale and/or retail off-premises sales (rather than solely from taxation).
The policy topics that fall under the general heading of Alcohol Control Systems describe the systems for wholesale and retail distribution of alcoholic beverages in each State and the District of Columbia. For each beverage type (beer, wine, distilled spirits) a State may use a State-run distribution system, a system of private licensed sellers, or some combination of these at the wholesale level, the retail level, or both. All States with a license wholesale system also have a license retail system. However, States with State-run wholesale systems may have either State-run or license retail systems. No State maintains a State-run system of retail sale for on-premises consumption. Values: 1 = License for All Alcoholic Beverages: A system in which a State licenses private vendors to operate wholesale or retail systems of distribution of an alcoholic beverage type or subtypealso called a private system. 2 = License for Beer: A system in which a State licenses private vendors to operate wholesale or retail systems of distribution of an alcoholic beverage type or subtypealso called a private system. 3 = Mixed/Overlapping: A system in which some or all beverage subtypes are sold through both the state-run and license systems. 4 = Mixed/Not Overlapping: A system in which some beverage subtypes are sold through the state-run system and other beverage subtypes are sold through the license system, but none are sold through both 5 = State-Run: An alcohol control system for wholesale and/or off-premises retail distribution of an alcoholic beverage type or subtype in which a State sets the prices of and gains profit/revenue directly from wholesale and/or retail off-premises sales (rather than solely from taxation).
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Keg registration laws (sometimes called keg tagging laws) require wholesalers or retailers to attach a tag, sticker, or engraving with an identification number to kegs exceeding a specified capacity (two to eight gallon minimum depending on the State). At purchase, the retailer records identifying information about the purchaser (e.g., name, address, telephone number, driver's license). A refundable deposit may also be collected for the keg itself, the tapper mechanism used to serve the beer, or both. The deposit is refunded when the keg and/or tapper are returned with the identification number intact. In some States, keg laws specifically prohibit destroying or altering the ID tag and provide penalties for doing so. Other States make it a crime to possess an unregistered or unlabeled keg. In a different approach to regulating kegs, Utah bans kegs altogether. Some jurisdictions collect information that may aid law enforcement efforts such as the location where the keg is to be consumed and the tag number of the vehicle in which the keg is transported. Some jurisdictions also require retailers to provide warning information at the time of purchase about laws prohibiting service to minors and/or other laws related to the purchase or possession of the keg. The recent introduction of disposable kegs presents a complicating factor for keg registration laws. Some of these containers meet the capacity definition for a ""keg,"" but cannot be easily tagged or traced since they are meant to be disposed of when empty. Values: 1 = Keg Registration Not Required 2 = Keg Registration Required 3 = Kegs Not Permitted
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Beverage Service Training and Related Practices policies establish requirements or incentives for retail alcohol outlets to participate in programs to: (1) develop and implement policies and procedures in retail alcohol outlets for preventing alcohol sales and service to minors and intoxicated persons and (2) train licensees, managers, and servers/sellers to implement the policies and procedures effectively. Programs in some States also have the broader objective of encouraging servers to promote responsible drinking by their patrons APIS designates training programs as mandatory or voluntary. A program is considered to be mandatory if State provisions require at least one specified category of individual (e.g., servers/sellers, managers, or licensees) to attend training. The States that have established voluntary programs usually, but not always, provide incentives for retailers to participate in Beverage Service Training, but do not impose penalties for those who decline involvement. Incentives vary by State and include: (1) a defense in dram shop liability lawsuits (cases in which a third party sues the retailer for damages resulting from the retailer providing alcohol to a minor or intoxicated person); (2) discounts in dram shop liability insurance; (3) mitigation of fines or other administrative penalties for sales to minors or sales to intoxicated persons; and (4) protection against license revocation for sales to minors or sales to intoxicated persons. States may have both types of programs. For example, a State may mandate training for new licenses and offer voluntary programs for existing licensees. Alternatively, a State may have a mandatory program and offer a more intensive, voluntary program that provides additional benefits for licensees choosing to participate in both. Values: 1 = No Server Training Law 2 = Voluntary Server Training 3 = Mandatory and Voluntary Server Training 4 = Mandatory Server Training
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Most States place limits on the days and times when alcohol may be sold, and these restrictions vary widely across jurisdictions. Many States have strictly limited the sale of alcohol on Sundays. This policy topic identifies States that banned Sunday sales of alcoholic beverages for off-premises consumption as of January 1, 1998, and tracks repeals of these bans from that date forward. No State bans Sunday sales for on-premises consumption. Thus, this policy analysis is limited to off-premises sales only. Many States prohibit virtually all Sunday sales, but provide minor exceptions that have little effect on total sales volume. These States are included in the ""ban"" category. Values: 2 = Sunday Sales ban 1 = No Sunday Sales ban
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states often adjusted the boundaries of the VTDs they submit for data tabulation purposes to conform to census block boundaries. If requested by the participating state, the U.S. Census Bureau identifies these "adjusted" VTDs as "pseudo-VTDs." For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies parts of a county in which no VTDs were identified.
This data set displays the country level access to electricity networks as a percentage of the population. Please note that data was not available for every country, and the value -1 was used as a placeholder. (1) The income level classification was made according to the WDI 2003 criteria. * LIC: Low-income economies. Those in which 2001 GNI per capita was $745 or less. * LMC: Lower-middle-income economies. Those in which 2001 GNI per capita was between $745 and $2,975. * UMC: Upper-middle-income economies. Those in which 2001 GNI per capita was between $2,976 and $9,205. * OEC: High-income OECD. OECD countries in which 2001 GNI per capita was $9,206 or more. * NOC: High-income non-OECD. Non-OECD countries in which 2001 GNI per capita was $9,206 or more.
Maori Descent by Age Group and Sex, for the Census Usually Resident Population Count, 1996, 2001 and 2006 Title: Maori Descent by Age Group and Sex, for the Census Usually Resident Population Count, 1996, 2001 and 2006 Author: Statistics New Zealand Category: Census2006 Keywords: Maori Descent,Age Group,Sex,Census,Usually Resident Population,Count Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Number of Children Born Alive and Work and Labour Force Status by Age Group of Mother, for the Female Census Usually Resident Population Count Aged 15 Years and Over, 1996 and 2006 Title: Number of Children Born Alive and Work and Labour Force Status by Age Group of Mother, for the Female Census Usually Resident Population Count Aged 15 Years and Over, 1996 and 2006 Author: Statistics New Zealand Category: Census2006 Keywords: Number of Children Born Alive,Work and Labour Force Status,Age Group of Mother,Female,Census,Usually Resident Population,Count,Aged 15 Years and Over,1996,2006
Number of Children Born Alive by Ethnic Group (Grouped Total Responses) of Mother, for the Female Census Usually Resident Population Count Aged 15 Years and Over, 1996 and 2006 Title: Number of Children Born Alive by Ethnic Group (Grouped Total Responses) of Mother, for the Female Census Usually Resident Population Count Aged 15 Years and Over, 1996 and 2006 Author: Statistics New Zealand Category: Census2006 Keywords: Number of Children Born Alive,Ethnic Group,Grouped Total Responses,Mother,Female,Census,Usually Resident Population,Count,Aged 15 Years and Over Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Asian Ethnic Groups (Selected) by Occupation (ANZSCO Major Group), 2006 Census Title: Asian Ethnic Groups (Selected) by Occupation (ANZSCO Major Group), 2006 Census Author: Statistics New Zealand Category: Census2006 Keywords: Selected Asian Ethnic Groups,Total Responses,Occupation,ANZSCO V1.0 Major Group,Employed,Census,Usually Resident Population,Count,Aged 15 Years and Over Rounding The data in this table has been randomly rounded to protect confidentiality. Individual figures may not add up to totals, and values for the same data may vary in different tables. Employed Census Usually Resident Population Count Aged 15 Years and Over Refers to people usually resident in New Zealand employed in either the full-time or part-time labour force. It excludes people who are unemployed and seeking work, and those people not in the labour force.
Asian Ethnic Groups (Selected) by Occupation (ANZSCO Major Group), 2006 Census Title: Asian Ethnic Groups (Selected) by Occupation (ANZSCO Major Group), 2006 Census Author: Statistics New Zealand Category: Census2006 Keywords: Selected Asian Ethnic Groups,Total Responses,Occupation,ANZSCO V1.0 Major Group,Employed,Census,Usually Resident Population,Count,Aged 15 Years and Over Confidentiality To protect the confidentiality of individuals, families and households: Five confidentiality rules have been applied to this table in sequential order from one to five, and in accordance with the general confidentiality principle that requires the withholding of any output that might identify the characteristics of a particular person or undertaking. The five rules relate to meshblock data, income data, mean cell size, random rounding and derivations. For more information, refer to the Confidentiality chapter in the 2006 Census: Introduction to the Census. Symbols C confidential Rounding The data in this table has been randomly rounded to protect confidentiality. Individual figures may not add up to totals, and values for the same data may vary in different tables. Employed Census Usually Resident Population Count Aged 15 Years and Over Refers to people usually resident in New Zealand employed in either the full-time or part-time labour force. It excludes people who are unemployed and seeking work, and those people not in the labour force.
Asian Ethnic Groups (Selected) and Unpaid Activities by Sex, 2006 Census Title: Asian Ethnic Groups (Selected) and Unpaid Activities by Sex, 2006 Census Author: Statistics New Zealand Category: Census2006 Keywords: Selected Asian Ethnic Groups,Total Responses,Unpaid Activities,Total Responses,Sex,Census,Usually Resident Population,Count,Aged 15 Years and Over Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
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See map of Udaipur, India
This data comes from the University of Heidelberg's Dept of Political Science's Institute for International Conflict. The full report documents major conflict that occurred throughout the world in 2007. This data particularly deals with violent conflicts of high intensity which include warfare and severe crisis. For each conflict, data included contains: Name of the Country, ISO Code for the Country, If the conflict is a war or a major crisis, the groups involved, and the reasons for the conflict.
The extent of excavations undertaken by MoLAS and Framework Archaeology at Perry Oaks, Heathrow 1996 to 2000. Source data courtesy Framework Archaeology and BAA Ltd.
PLEASE NOTE: Zeros should be interpreted as null values. This data includes supplemental information necessary for correct interpretation, available in the attribute detail of this document. Provides United Hospital Fund boundaries and rates for a number of health topics covering the following health topics: general health status, health care access, cardiovascular health, diabetes, asthma, immunizations, mental health, smoking, second-hand smoke, obesity, commuting patterns, physical activity, cancer screening, HIV, sexual behavior, birth control, drug use, and domestic violence.
A simplification of the Bronze Age field system data published by Framework Archaeology for their excavations at Perry Oaks, Heathrow. Data courtesy of Framework Archaeology and BAA Ltd
This is the boundary file for all three DOHMH District Public Health Office areas. Bronx DPHO - Unlike either East Harlem (MN) or the Brooklyn DPHOs, the Bronx DPHO appears to be comprised of ZIP codes, whereas the other two are comprised by Community District boundaries. The top portions of CD Boundaries 205 and 206 are not included in the "target area" for this DPHO boundary.
Asian Ethnic Groups (Selected) and Unpaid Activities by Sex, 2006 Census Title: Asian Ethnic Groups (Selected) and Unpaid Activities by Sex, 2006 Census Author: Statistics New Zealand Category: Census2006 Keywords: Selected Asian Ethnic Groups,Total Responses,Unpaid Activities,Total Responses,Sex,Census,Usually Resident Population,Count,Aged 15 Years and Over Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Asian Ethnic Groups (Selected) and Work and Labour Force Status by Sex, 2006 Census Title: Asian Ethnic Groups (Selected) and Work and Labour Force Status by Sex, 2006 Census Author: Statistics New Zealand Category: Census2006 Keywords: Selected Asian Ethnic Groups,Total Responses,Work and Labour Force Status,Sex,Census,Usually Resident Population,Count,Aged 15 Years and Over Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
This dataset from The Fund for Peace, ranks the works countries based on 12 different factors related to democracy, security, and the economy. The overall ranks are from 1-177, 1 being the most failed state. Notable are the first 60 weakest states. All other ratings are from 1-10, 10 being the worst and 1 the best and the total is the total of each ranking from the 12 factors.
This dataset from The Fund for Peace, ranks the works countries based on 12 different factors related to democracy, security, and the economy. The overall ranks are from 1-177, 1 being the most failed state. Notable are the first 60 weakest states. All other ratings are from 1-10, 10 being the worst and 1 the best and the total is the total of each ranking from the 12 factors.
Asian Ethnic Groups (Selected) by Age and Sex, 2006 Census Title: Asian Ethnic Groups (Selected) by Age and Sex, 2006 Census Author: Statistics New Zealand Category: Census2006 Keywords: Selected Asian Ethnic Groups,Total Responses,Age Group and Sex,Census,Usually Resident Population,Count Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
These statistics have been published by Eurostat as a result of its programme with member states on the harmonisation of definitions of work-related accidents. Accidents at work are defined as a discrete occurrence in the course of work which leads to physical or mental harm. This includes accidents in the course of work outside business premises and cases of acute poisoning. Occurrences having only a medical origin (such as a heart attack at work) or occupational illnesses are excluded. The data collected covers the nine branches of activity that are common to all member states; the nine branches are agriculture, manufacturing, utilities, construction, retail and wholesale distribution, hotels and restaurants, transport, financial services and real estate business activities. Since each member state may also collect information on other sectors, the individual figures for each member state quoted above may differ from those published at a national level. RTTAs (road traffic and transport accidents) at work are defined as accidents in the transport branch and traffic accidents or accidents on all means of transport at work in all other branches of economic activity. Data on road traffic and transport accidents are not available for Great Britain and Ireland Partial data are quoted for fatal RTTAs in the Netherlands. Data for Portugal covers the year 2002..
This data shows the population below $1.00 a day, poverty gap at $1.00 a day, population gap at $2.00 a day (in %), and Poverty gap at $2.00 a day (in %) in countries around the world affected by poverty. The indication of an "a" or "b" next to the year of survey stands for the following: a. Expenditure base. b. Income base.
This data shows the the national poverty line of each country in rural percent, urban percent, and national percent. The indication of an "a" or "b" next to the year of survey stands for the following: a. Expenditure base. b. Income base.
Asian Ethnic Groups (Selected) by Age and Sex, 2006 Census Title: Asian Ethnic Groups (Selected) by Age and Sex, 2006 Census Author: Statistics New Zealand Category: Census2006 Keywords: Selected Asian Ethnic Groups,Total Responses,Age Group and Sex,Census,Usually Resident Population,Count Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Birthplace and Occupation (ANZSCO Major Group) by Sex, 2006 Census Title: Birthplace and Occupation (ANZSCO Major Group) by Sex, 2006 Census Author: Statistics New Zealand Category: Census2006 Keywords: Birthplace,Broad Geographic Areas,Occupation,ANZSCO V1.0 Major Group,Sex,Employed Census,Usually Resident Population,Count,Aged 15 Years and Over Rounding The data in this table has been randomly rounded to protect confidentiality. Individual figures may not add up to totals, and values for the same data may vary in different tables. Employed Census Usually Resident Population Count Aged 15 Years and Over Refers to people usually resident in New Zealand employed in either the full-time or part-time labour force. It excludes people who are unemployed and seeking work, and those people not in the labour force.
Birthplace and Occupation (ANZSCO Major Group) by Sex, 2006 Census Title: Birthplace and Occupation (ANZSCO Major Group) by Sex, 2006 Census Author: Statistics New Zealand Category: Census2006 Keywords: Birthplace,Broad Geographic Areas,Occupation,ANZSCO V1.0 Major Group,Sex,Employed Census,Usually Resident Population,Count,Aged 15 Years and Over Rounding The data in this table has been randomly rounded to protect confidentiality. Individual figures may not add up to totals, and values for the same data may vary in different tables. Employed Census Usually Resident Population Count Aged 15 Years and Over Refers to people usually resident in New Zealand employed in either the full-time or part-time labour force. It excludes people who are unemployed and seeking work, and those people not in the labour force.
Birthplace and Work and Labour Force Status by Sex, 2006 Census Title: Birthplace and Work and Labour Force Status by Sex, 2006 Census Author: Statistics New Zealand Category: Census2006 Keywords: Birthplace,Broad Geographic Areas,Work and Labour Force Status,Sex,Census,Usually Resident Population,Count,Aged 15 Years and Over Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Birthplace (Broad Geographic Areas) and Years Since Arrival in New Zealand by Sex, for the Overseas Born Census Usually Resident Population Count, 2006 Title: Birthplace (Broad Geographic Areas) and Years Since Arrival in New Zealand by Sex, for the Overseas Born Census Usually Resident Population Count, 2006 Author: Statistics New Zealand Category: Census2006 Keywords: Birthplace,(Broad Geographic Areas),Years Since Arrival,New Zealand,Sex,Overseas Born,Census,Usually Resident Population,Count,2006
Title: Birthplace (Broad Geographic Areas) by Sex, for the Census Usually Resident Population Count, 1996, 2001 and 2006 Author: Statistics New Zealand Category: Census2006 Keywords: Birthplace,(Broad Geographic Areas),Sex,Census,Usually Resident Population,Count,1996,2001 and 2006 Notes: Description Birthplace (Broad Geographic Areas) by Sex, for the Census Usually Resident Population Count, 1996, 2001 and 2006
guichets automatiques CM - source: cybermut
Ethnic Group and Qualification (Highest) by Sex, 2006 Census Title: Ethnic Group and Qualification (Highest) by Sex, 2006 Census Author: Statistics New Zealand Category: Census2006 Keywords: Ethnic Group,Grouped Total Responses,Highest Qualification by Sex,Census,Usually Resident Population,Count,Aged 15 Years and Over Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
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Archaeologists assessment of likey of existence at or near locations shown of a Bronze Age settlement. Data courtesy of Framework Archaeology and BAA Ltd
Distribution of Middle Iron Age and Bronze Age (Deverel-Rimbury and Post-Deverel-Rimbury wares) excavated at Perry Oaks from 1996 to 2000. Purpose of this dataset is to analyse the change in pottery deposition patterns from the Bronze Age to the Middle Iron Age. It is assumed that areas of high deposition of either Bronze Age or Middle Iron Age pottery can be indicative of settlement location of that time. Source data courtesy Framework Archaeology and BAA Ltd
Places in Central TX
COLOMBIA. NMERO DE ESTABLECIMIENTOS (JORNADAS) POR SECTOR. Informacin de recoleccin sin ajuste por cobertura - Ao 2007. Fuente: DANE - Investigacin de Educacin Formal - Formulario C600
The Data for inflation are averages for the year, not end-of-period data. The index is based on 2000=100. Data is divided by country and is provided by the IMF Be sure to note when estimates start for each individual country to know whether or not the figures are actual or estimates.
WARNING! These data have been manipulated to display at a multi-country level scale. The Worldwide Incidents Tracking System is the National Counterterrorism Center's database of terrorist incidents. According to NCTC definition, terrorism occurs when groups or individuals acting on political motivation deliberately or recklessly attack civilians/non-combatants or their property and the attack does not fall into another special category of political violence, such as crime, rioting, or tribal violence. For further guidance on criteria, please see the Methodology page.
This dataset displays the inmate populations for all the Federal Prisons throughout the United States on 10.9.08. This weekly Population Report can be found on the Bureau of Prisons website at bop.gov. These facilities are positioned by their lat/lon and this dataset is updated on a weekly basis.
Ethnic Group and Unpaid Activities by Sex, 2006 Census Title: Ethnic Group and Unpaid Activities by Sex, 2006 Census Author: Statistics New Zealand Category: Census2006 Keywords: Ethnic Group,Grouped Total Responses,Unpaid Activities,Total Responses,Sex,Census,Usually Resident Population,Count,Aged 15 Years and Over Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Ethnic Group and Work and Labour Force Status by Sex, 2006 Census Title: Ethnic Group and Work and Labour Force Status by Sex, 2006 Census Author: Statistics New Zealand Category: Census2006 Keywords: Ethnic Group,Grouped Total Responses,Work and Labour Force Status,Sex,Census,Usually Resident Population,Count,Aged 15 Years and Over Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Ethnic Group by Age, 2006 Census Title: Ethnic Group by Age, 2006 Census Author: Statistics New Zealand Category: Census2006 Keywords: Territorial Authority,Regional Council,Area Unit,Ethnic Group,Level 1,Grouped Total Responses,Age Group,Census,Usually Resident Population,Count Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Ethnic Group (Single and Combination) by Age Group and Sex, for the Census Usually Resident Population Count, 2006 Title: Ethnic Group (Single and Combination) by Age Group and Sex, for the Census Usually Resident Population Count, 2006 Author: Statistics New Zealand Category: Census2006 Keywords: Ethnic Group,(Single and Combination),Age Group and Sex,Census,Usually Resident Population,Count,2006 Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Iwi and Work and Labour Force Status by Sex, 2006 Census Title: Iwi and Work and Labour Force Status by Sex, 2006 Census Author: Statistics New Zealand Category: Census2006 Keywords: Iwi,Total Responses,Work and Labour Force Status,Sex,for the Maori Descent Census,Usually Resident Population,Count,Aged 15 Years and Over
This data shows the different countries throughout the world affected by economic strikes from 1998-2008.
Iwi by Age and Sex, 2006 Census Title: Iwi by Age and Sex, 2006 Census Author: Statistics New Zealand Category: Census2006 Keywords: Iwi,Total Responses,Age Group and Sex,for Maori Descent,Census,Usually Resident Population,Count Dimension Name: Iwi Description: Iwi (Total Responses) Notes: This table includes iwi (total responses) and selected iwi groupings. Iwi (total responses) includes all of the people, who are of Maori descent, who stated each iwi, whether as their only iwi or as one of several iwi. Where a person reported more than one iwi, they have been counted in each applicable group. This means that the total of the responses is often greater than the total subject population for iwi, as each person may be counted more than once.
This data set displays the country level of paved roads as a percentage of total roads within the given country. Please note that data was not available for every country, and the value -1 was used as a placeholder. (5) Source: * WDI published 2002. Original source: International Road Federation, World Road Statistics, and Eurostat (http://www.europa.eu.int/eurostat.html). (1) The income level classification was made according to the WDI 2003 criteria. * LIC: Low-income economies. Those in which 2001 GNI per capita was $745 or less. * LMC: Lower-middle-income economies. Those in which 2001 GNI per capita was between $745 and $2,975. * UMC: Upper-middle-income economies. Those in which 2001 GNI per capita was between $2,976 and $9,205. * OEC: High-income OECD. OECD countries in which 2001 GNI per capita was $9,206 or more. * NOC: High-income non-OECD. Non-OECD countries in which 2001 GNI per capita was $9,206 or more.
The poly shapefile shows Census's latest estimates of number of people who do not have health care insurance by county in the lower 48 states. The ascii text file with the stats for insured vis uninsured was released to public on 8th Oct, 2008. The data also includes estimates by age groups, gender and income levels. Look for these datasets on the Finder! using the keyword "Health Care Insurance"
The poly shapefile shows the latest estimates of total number of persons with and without health care insurance by county for all the 50 states. In much of south-west percent of people with no health-care insurance runs in double digits. The top 20 counties with more than 35% to 45% uninsured persons are all located in Texas, New Mexico and Oklahoma. Much of Alaska also has the dubious distinction of percent people between 10% to as high as 25% plus with no health care insurance.
Theses are the GPS Coordinates and art placements at Burning Man 2008
International Internet bandwidth is the contracted capacity of international connections between countries for transmitting Internet traffic. Per capita figures expressed per 1 billion population. data was found online converted to a shapefile and uploaded to finer.
Just for fun, you HAVE been there,,,have you not?
This dataset give the percent of spending on the military of all central government expenditure. The data for each country come from a different year. The year is noted in an attribute. Please note: "Military expenditures data from SIPRI are derived from the NATO definition, which includes all current and capital expenditures on the armed forces, including peacekeeping forces; defense ministries and other government agencies engaged in defense projects; paramilitary forces, if these are judged to be trained and equipped for military operations; and military space activities. Such expenditures include military and civil personnel, including retirement pensions of military personnel and social services for personnel; operation and maintenance; procurement; military research and development; and military aid (in the military expenditures of the donor country). Excluded are civil defense and current expenditures for previous military activities, such as for veterans' benefits, demobilization, conversion, and destruction of weapons. This definition cannot be applied for all countries, however, since that would require much more detailed information than is available about what is included in military budgets and off-budget military expenditure items. (For example, military budgets might or might not cover civil defense, reserves and auxiliary forces, police and paramilitary forces, dual-purpose forces such as military and civilian police, military grants in kind, pensions for military personnel, and social security contributions paid by one part of government to another.)"
This data set displays the energy use per PPP GDP for countries around the world. This data represents kg of oil equivalent per 2000 PPP 1000$. Please note that for countries in which data is unavailable a place marker of -1 was used. (1) The income level classification was made according to the WDI 2003 criteria. * LIC: Low-income economies. Those in which 2001 GNI per capita was $745 or less. * LMC: Lower-middle-income economies. Those in which 2001 GNI per capita was between $745 and $2,975. * UMC: Upper-middle-income economies. Those in which 2001 GNI per capita was between $2,976 and $9,205. * OEC: High-income OECD. OECD countries in which 2001 GNI per capita was $9,206 or more. * NOC: High-income non-OECD. Non-OECD countries in which 2001 GNI per capita was $9,206 or more.
This data set displays the electricity end-user prices for households. Data is available for countries around the world and for the time period spanning from 1980 to 2004. The statistics represented in US cents/kWh. Please note that when no data was available the value -1 was used as a placeholder. (1) The income level classification was made according to the WDI 2003 criteria. * LIC: Low-income economies. Those in which 2001 GNI per capita was $745 or less. * LMC: Lower-middle-income economies. Those in which 2001 GNI per capita was between $745 and $2,975. * UMC: Upper-middle-income economies. Those in which 2001 GNI per capita was between $2,976 and $9,205. * OEC: High-income OECD. OECD countries in which 2001 GNI per capita was $9,206 or more. * NOC: High-income non-OECD. Non-OECD countries in which 2001 GNI per capita was $9,206 or more.
This data set displays the Electricity end user prices for industry in US cents per kWh. This data was collected through the world bank and is available for countries around the world. Please note that for countries in which data is unavailable a placeholder of, -1 was used. (1) The income level classification was made according to the WDI 2003 criteria. * LIC: Low-income economies. Those in which 2001 GNI per capita was $745 or less. * LMC: Lower-middle-income economies. Those in which 2001 GNI per capita was between $745 and $2,975. * UMC: Upper-middle-income economies. Those in which 2001 GNI per capita was between $2,976 and $9,205. * OEC: High-income OECD. OECD countries in which 2001 GNI per capita was $9,206 or more. * NOC: High-income non-OECD. Non-OECD countries in which 2001 GNI per capita was $9,206 or more.
Base map for Ohio counties analysis.
Churches in Ohio.
Coastline of Kauai
General file containing churches, schools and cemeteries + other institutions in Ohio
This shows the nature protected areas in Denmark
Offical New Zealand Ministry of Education schools as supplied by www.zenbu.co.nz
SsangYong UK Dealership network
Puntos de fontes de Vigo Espaa
This coverage represents year MODIS fire detections for the 7 day period specified for the geographic area covering the conterminous United States, Alaska, Hawaii, Canada and northern Mexico. The detections are obtained using both TERRA MODIS and AQUA MODIS data are collected and processed as a cooperative effort between the USDA Forest Service Remote Sensing Application Center, NASA-Goddard Space Flight Center and the University of Maryland. These fire detection data are collected for the USDA Forest Service MODIS Active Fire Mapping Program (http://activefiremaps.fs.fed.us). These data are intended to provide a synoptic view of active fires for the past and present over the specified time period. These data are collected at a spatial resolution of 1 kilometer and therefore are only intended for geographic display and analysis at the national and regional levels. No responsibility is assumed by the USDA Forest Service in the use of these data.
This datasets displays the locations of all recorded earthquakes of a magnitude of 1 or greater around the world from the period of 10.6.08 to 10.13.08. The findings are from the US Geological Survey (USGS). Earthquake information is extracted from a merged catalog of earthquakes located by the USGS and contributing networks. Earthquakes will be broadcast within a few minutes for California events and within 30-minutes for world-wide events.
seeing what this app can do
These maps show conditions and density of owner-occupied subprime mortgage loans for the states, counties and zip codes in the United States. The maps are based on data for owner-occupied mortgage loans that have been securitized into a product that is categorized as subprime, based on the grade assigned to the security. The underlying data will be updated periodically.
Taken from the SEC website, this dataset lists the companies with the top 30 market capitalizations as of filing in 2007.
These maps show conditions and density of owner-occupied subprime mortgage loans for the states, counties and zip codes in the United States. The maps are based on data for owner-occupied mortgage loans that have been securitized into a product that is categorized as subprime, based on the grade assigned to the security. The underlying data will be updated periodically.
These maps show conditions and density of owner-occupied subprime mortgage loans for the states, counties and zip codes in the United States. The maps are based on data for owner-occupied mortgage loans that have been securitized into a product that is categorized as subprime, based on the grade assigned to the security. The underlying data is updated periodically. The underlying data do not represent every subprime mortgage, whether in portfolio or in a security, or mortgage securitized in an alt-A pool. We estimate that as of year-end 2007, there were about a total of 7 million subprime loans. The underlying data contained 3.3 million active subprime loans, suggesting a coverage ratio of 47 percent. By definition, all alt-A mortgages are securitized. Our best guess is that 2.4 million loans in this portion of the data cover more than 90 percent of the pools marketed as alt-A. The loan data are drawn from reports by the Board of Governors of the Federal Reserve System based on data from FirstAmerican CoreLogic, LoanPerformance Data. Data on the number of housing units are drawn from the U.S. Census 2000. Alt-A Mortgages: Loans marketed in alt-A securities are typically higher-balance loans made to borrowers who might have past credit problemsbut not severe enough to drop them into subprime territoryor who, for some reason (such as a desire not to document income) chose not to obtain a prime mortgage. In addition, many loans with nontraditional amortization schedules such as interest only or option adjustable rate mortgages are sold into securities marked as alt-A. Although the term alt-A applies technically only to securities, not mortgages, it has become common practice to refer to near-prime or non-traditional mortgages as alt-A loans. The 2.4 million alt-A loans in the data contained approximately 1.7 million loans for owner-occupied units with an average outstanding loan balance around $300,000 at the end of 2007.
This shapefile contains estimates of the number of jobs per zip code based employment center in 1994 and 2003. It was generated as follows; (1) Using 1994 and 2003 data from the US Census Bureau's County Business Patterns series, zipcode-based job counts were estimated for every 4-digit SIC and NAICs industry group by applying a series of mid-point estimates to an establishment size frequency distribution; (2) The resulting job counts were summarized by major sector; (3) The resulting sectoral totals were geocoded to their zipcode locations; (4) Job totals in ipcode centroids and points within 1-kilometer of each other were aggregated together to form unique job centers.
This data reports terror incidents recorded for Iraq in the National Counter Terrorism Center's World Wide Incident Tracking Database. It covers incidents that were observed for the period 2004 up through March 2007. The Center cautions that there could be some incidents that have occurred in Iraq that is not in the data. There are over 12,000 attacks for Iraq and the victims are of a variety of nationalities, American included. Fatalities, wounded and hostages taken for each record are included in the data.
This dataset takes the ranking of the countries by what they spend on the military and the Failed States Index indicator for Demographic Pressures. The Difference in rank from one to the other in given.
These maps show conditions and density of owner-occupied subprime mortgage loans for the states, counties and zip codes in the United States. The maps are based on data for owner-occupied mortgage loans that have been securitized into a product that is categorized as subprime, based on the grade assigned to the security. The underlying data is updated periodically. The underlying data do not represent every subprime mortgage, whether in portfolio or in a security, or mortgage securitized in an alt-A pool. We estimate that as of year-end 2007, there were about a total of 7 million subprime loans. The underlying data contained 3.3 million active subprime loans, suggesting a coverage ratio of 47 percent. By definition, all alt-A mortgages are securitized. Our best guess is that 2.4 million loans in this portion of the data cover more than 90 percent of the pools marketed as alt-A. The loan data are drawn from reports by the Board of Governors of the Federal Reserve System based on data from FirstAmerican CoreLogic, LoanPerformance Data. Data on the number of housing units are drawn from the U.S. Census 2000. Alt-A Mortgages: Loans marketed in alt-A securities are typically higher-balance loans made to borrowers who might have past credit problemsbut not severe enough to drop them into subprime territoryor who, for some reason (such as a desire not to document income) chose not to obtain a prime mortgage. In addition, many loans with nontraditional amortization schedules such as interest only or option adjustable rate mortgages are sold into securities marked as alt-A. Although the term alt-A applies technically only to securities, not mortgages, it has become common practice to refer to near-prime or non-traditional mortgages as alt-A loans. The 2.4 million alt-A loans in the data contained approximately 1.7 million loans for owner-occupied units with an average outstanding loan balance around $300,000 at the end of 2007.
WASHINGTON DC, September 18, 2008 - U.S. personal income grew 1.8 percent in the second quarter of 2008 with growth accelerating in all but five states, according to statistics released today by the U.S. Bureau of Economic Analysis. The second-quarter growth was the highest since the first quarter of 2007 and more than double the 0.8 percent pace of the first quarter of 2008. Almost all (0.9 percentage point) of the acceleration is accounted for by the cash rebates taxpayers received from the federal government this spring under the provisions of the Economic Stimulus Act of 2008. Personal income is the income received by all persons from all sources. Personal income is the sum of net earnings by place of residence, rental income of persons, personal dividend income, personal interest income, and personal current transfer receipts. Net earnings is earnings by place of work (the sum of wage and salary disbursements (payrolls), supplements to wages and salaries, and proprietors' income) less contributions for government social insurance, plus an adjustment to convert earnings by place of work to a place-of-residence basis. Personal income is measured before the deduction of personal income taxes and other personal taxes and is reported in current dollars (no adjustment is made for price changes). The estimate of personal income in the United States is derived as the sum of the state estimates; it differs from the estimate of personal income in the national income and product accounts (NIPAs) because of differences in coverage, in the methodologies used to prepare the estimates, and in the timing of the availability of source data.
New estimates released today by the U.S. Bureau of Economic Analysis show that economic growth slowed in most states and regions of the U.S. in 2007. Real GDP growth slowed in 36 states, with declines in construction and finance and insurance restraining growth in many states.1 Nationally, real economic growth slowed from 3.1 percent in 2006 to 2.0 percent in 2007, one percentage point below the average growth of 3.0 percent for 20022006. GDP by state is the state counterpart of the Nation's gross domestic product (GDP), the Bureau's featured and most comprehensive measure of U.S. economic activity. GDP by state is derived as the sum of the GDP originating in all the industries in a state. The estimates of real GDP by state are prepared in chained (2000) dollars. Real GDP by state is an inflation-adjusted measure of each state's gross product that is based on national prices for the goods and services produced within that state. The estimates of real GDP by state and of quantity indexes with a base year of 2000 were derived by applying national implicit price deflators to the current-dollar GDP-by-state estimates for the 64 detailed NAICS-based industries for years 1997 forward and for the 63 detailed SIC-based industries for years 1977-1997. Then, the chain-type index formula that is used in the national accounts is used to calculate the estimates of total real GDP by state and of real GDP by state at more aggregated industry levels.
This data reports terror incidents involving IEDs recorded for Iraq in the National Counter Terrorism Center's World Wide Incident Tracking Database. It covers incidents that were observed for the fourth quarter of 2006. The Center cautions that there could be some incidents that have occurred in Iraq that are not in the data. Fatalities, wounded and hostages taken for each record are included in the data. Text descriptions and information on the perpetrators are also included in the file.
This data shows investment income (dividends, rent and interest), total personal income, share of income that is investment and per capita investment by MSA and for 2007.
This data shows all the upcoming ikea store location for 2008
This data set displays the electric power Transmission and distribution losses as a % of output. Please note that for countries and time periods in which no data is available, the p=value: -1 is used as a placeholder. Please make note of this in your statistical calculations of this data. This data is provided through the World Bank. (1) The income level classification was made according to the WDI 2003 criteria. * LIC: Low-income economies. Those in which 2001 GNI per capita was $745 or less. * LMC: Lower-middle-income economies. Those in which 2001 GNI per capita was between $745 and $2,975. * UMC: Upper-middle-income economies. Those in which 2001 GNI per capita was between $2,976 and $9,205. * OEC: High-income OECD. OECD countries in which 2001 GNI per capita was $9,206 or more. * NOC: High-income non-OECD. Non-OECD countries in which 2001 GNI per capita was $9,206 or more. WDI published 2002 / SIMA
This data set displays the percentage of the population who has access to an improved water source. Data is available for the years 1990 and 2002. Please note that when data was unavailable the place holder: -1 was used for statistical comparison. Please take note of this fact in your work with this data set. This data is provided through the World Bank and the WHO: World Health Organization, website of joint monitoring programme. Comments: Caroline van den Berg: even though WHO published data as of 2000, the 2002 data must be considered an update of the 2000, as opposed to an additional year. (1) The income level classification was made according to the WDI 2003 criteria. * LIC: Low-income economies. Those in which 2001 GNI per capita was $745 or less. * LMC: Lower-middle-income economies. Those in which 2001 GNI per capita was between $745 and $2,975. * UMC: Upper-middle-income economies. Those in which 2001 GNI per capita was between $2,976 and $9,205. * OEC: High-income OECD. OECD countries in which 2001 GNI per capita was $9,206 or more. * NOC: High-income non-OECD. Non-OECD countries in which 2001 GNI per capita was $9,206 or more.
This data set displays the% of population with access to improved sanitation facilities on a country level. This data was collected through the World Bank. Please note that when information was unavailable the placeholder: -1 was used. Comments: Caroline van den Berg: even though WHO published data as of 2000, the 2002 data must be considered an update of the 2000, as opposed to an additional year. The reason is every data point is estimated through a regression with the data available from different hh surveys. If a new hh survey becomes available, new estimates are calculated using all data available per country. WHO: World Health Organization, Website of Joint Monitoring Programme
Kansen en knelpunten uit de Doelstellingennota van het Deelbekkenbeheerplan Molenbeek/Weesbeek/Leibeek
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This data set has the locations of various McDonald's Locations throughout the United States. Addresses were pulled after doing a 50 mile search radius around many of the major cities in the United states. results were geocoded to the point level, and includes street address data.
Filter assembly district boundaries, SF only
This data shows the area of rice that was haverested in each country from 200-2008. The area is measured in 1000 hectares.
This dataset provides the locations of cities in India where there are McDonald's and provides the number of McDonald's in that city.
This data shows the milled produciton of rice in each country from 2000-2008. The area is measured in 1000 metric tons.
This data shows the total distribution of haverested rice in each country from 2000-2008. The area is measured in 1000 metric tons.
This data shows the consumption of haverested rice in each country from 2000-2008. The area is measured in 1000 metric tons.
This dataset provides the locations of cities in India where there are Domino's Pizza outlets and provides the number of Domino's in that city.
This data set displays the commercial perception of water service at the country level around the world. This data is set at a scale of 1 to 7. With 1 being the worst service and 7 being the best. The index is based on quality perception. Please note that this data is not available for every country, and a placeholder value of -1 was used. Comments: * Question: How would you rate the quality and efficiency of the following public services? Water * Rank: 1=very bad. 7=very good. * The measures presented in the following spreadsheets are derived from the 1999 BEEPS and are subject to a margin of error. * The direction and the base of the original scale was changed to make it comparable to GCR indexes. In the original data 6= very bad. For this data 7= very good. WBES: World Business Environment Survey 2000.
This data set displays the number of telephone subscribers per 1000 inhabitants, at the country level. Please note that for instances when no data was available the placeholder value of -1 was used. This data was collected through the World Bank, and International Telecommunications Union (ITU)- Available through SIMA. (1) The income level classification was made according to the WDI 2003 criteria. * LIC: Low-income economies. Those in which 2001 GNI per capita was $745 or less. * LMC: Lower-middle-income economies. Those in which 2001 GNI per capita was between $745 and $2,975. * UMC: Upper-middle-income economies. Those in which 2001 GNI per capita was between $2,976 and $9,205. * OEC: High-income OECD. OECD countries in which 2001 GNI per capita was $9,206 or more. * NOC: High-income non-OECD. Non-OECD countries in which 2001 GNI per capita was $9,206 or more.
This dataset is from the website USA Election Polls. The dataset includes 3 different polls by state for Obama vs. McCain and 1 average of all polls. The The data is organized in various ways to make the All values of -1 represent no available data.
This data shows the beginning stocks of haverested rice in each country from 2000-2008. The area is measured in 1000 metric tons.
This dataset is from the website USA Election Polls. The polls for each state have be done during different time periods is displayed as an attribute. Poll are the latest poll from each state and the source varies.
This data shows the ending stock of haverested rice in each country from 2000-2008. The area is measured in 1000 metric tons.
This data shows the milling rate of haverested rice in each country from 2000-2008. The area is measured in 1000 metric tons.
The data set displays the number of main telephone lines subscribers per 1000 inhabitants. Data is available from 1980 to 2003. Please note that when data was unavailable the value: -1 was used as a placeholder. This data was collected through the World Bank, and International Telecommunications Union (ITU) - available through SIMA. (1) The income level classification was made according to the WDI 2003 criteria. * LIC: Low-income economies. Those in which 2001 GNI per capita was $745 or less. * LMC: Lower-middle-income economies. Those in which 2001 GNI per capita was between $745 and $2,975. * UMC: Upper-middle-income economies. Those in which 2001 GNI per capita was between $2,976 and $9,205. * OEC: High-income OECD. OECD countries in which 2001 GNI per capita was $9,206 or more. * NOC: High-income non-OECD. Non-OECD countries in which 2001 GNI per capita was $9,206 or more.
Demo area
This data set displays the number of cellular telephone subscribers per 1000 inhabitants. This data is presented at the country level, and is available for countries around the world. Please note that for years in which data is unavailable the value -1 is used as a place holder. This data is available through the World Bank and * International Telecommunications Union (ITU)-Available through SIMA
This data set displays the cost of a local phone call for the time period spanning 1990-2003. This data is presented at the country level, and is relative to US cents per 3 minutes. Please note that when data was not available the value -1 was used as a placeholder. This data is available through the World Bank, and * GDF & WDI central (April 2003). International Telecommunication Union and TeleGeography, Direction of Traffic.
This data set displays road density figures for countries around the world. This data spans from 1990 to 2002 and is represented annually. The figures are shown as a ratio of road kilometers per 1000 people. Please note that when data was unavailable the value -1 was used as a place holder for statistical purposes. This data was provided through the World Bank, and * INFVP calculations using WDI data
The point shapefile shows the locations of the nine big banks that received total of $125 bill from the treasury under the "bailout" plan. The remaining 8000 plus banks will get additional $125 as a part of recapitalization policy of the financial rescue plan devised by the U.S. treasury.
2002 Minnesota house district incumbent locations
2007 Minnesota state house district boundaries
This data set displays figures on road density for countries around the world. This data is presented at the country level, and covers the time period spanning from 1990 - 2002. Please note that when no information was available, the value -1 was used as a placeholder for statistical purposes. This data was made available through the World Bank, and * INFVP calculations using WDI data
This data set displays the rail density by country. These figures are scaled at (rail-km/1000 people), and data is available for the year 2002. This data was collected through the World Bank, and INFVP. Please note that when no data was available the value -1 was used as a place holder for statistical calculations. (1) The income level classification was made according to the WDI 2003 criteria. * LIC: Low-income economies. Those in which 2001 GNI per capita was $745 or less. * LMC: Lower-middle-income economies. Those in which 2001 GNI per capita was between $745 and $2,975. * UMC: Upper-middle-income economies. Those in which 2001 GNI per capita was between $2,976 and $9,205. * OEC: High-income OECD. OECD countries in which 2001 GNI per capita was $9,206 or more. * NOC: High-income non-OECD. Non-OECD countries in which 2001 GNI per capita was $9,206 or more.
This data set displays figures on travel time to work in main cities. This data is presented as (Minutes/one way work trip). Please note that when no data was available the value -1 was used as a place holder. This data was made available through the World Bank, and * UN-Habitat: United Nations Human Sattlements Programme Comments: * In order to aggregate data at the country level we used simple averages of cities' travel time to work, even though the list of cities was not exhaustive. A more accurate approach, should more data becomes available, would be to use averages weighted b
This data set displays figures on Commercial Perception of Port Facilities 1=underdeveloped 7=as developed as the world's best (index based on quality perception) Data is available for the years 2001 and 2002. This data was collected through the World Bank, and * GCR: Global Competitiveness Report 2002-2003 Please not that when no data was available the value -1 was used as a place holder for statistical calculations.
This data set displays the Commercial Perception of Railroad Services 1= underdeveloped 7= as extensive and efficient as the world's best (index based on quality perception)please note that when no data was available, the value -1 was used as a placeholder. This data set was collected through the World Bank, and * GCR: Global Competitiveness Report 2002-2003 Comments: * Question 6.02 in GCR 2002: Rank from 1 to 7 the railroads in your country. 1 = underdeveloped. 7 = as extensive and efficient as the world's best.
Certified organic pasture and cropland, 2005, by State Source: http://www.ers.usda.gov/Data/Organic/Data/PastrCropbyState.xls Accessed on 23 August 2007
This dataset contains estimates of the number of jobs per zip code based employment center in 1994 and 2003. It was generated as follows; (1) Using 1994 and 2003 data from the US Census Bureau's County Business Patterns series, zipcode-based job counts were estimated for every 4-digit SIC and NAICs industry group by applying a series of mid-point estimates to an establishment size frequency distribution; (2) The resulting job counts were summarized by major sector; (3) The resulting sectoral totals were geocoded to their zipcode locations; (4) Job totals in ipcode centroids and points within 500 meters of each other were aggregated together to form unique job centers.
Grants locations
This dataset provides the locations of districts in Mexico where there are Soriana stores and provides the number of stores in that district. The dataset also contains population by gender.
The 2004/2005 (February 2004 January 2005 Household Budget Survey (HBS) is the eighth survey having been conducted in Greece, on a sample of 6,555 households selected from the total number of households in Greece. Objective: Through this survey, alike the previous ones, information was collected on the value of purchases and the receipts in kind of the households as well as on the different characteristics of the households and their dwellings. Coverage: The survey covered all the private households throughout the country, irrespective of their size or socioeconomic characteristics. As household expenditure was considered value, in cash, of the goods and services the household bought or received in kind (from own production, own store or from elsewhere) in order to cover family and social needs. Please see the metadata link for a full description of the dataset. It is important to not that the information contained in this dataset represents a portion of the information represented in the survey data.
Description Selected Asian Ethnic Groups (Total Responses) by Cigarette Smoking Status, for the Census Usually Resident Population Count Aged 15 Years and Over, 2006 Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
These are the venues and some key locations in Darwin, Australia related to the 14ARSPC held at the end of September 2008
Description Selected Asian Ethnic Groups (Total Responses) by Highest Qualification, for the Census Usually Resident Population Count Aged 15 Years and Over, 2006 Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
The point shapefile shows the geocoded locations of credit card banks based on the latest available FDIC report dated 06/30/2008.
This dataset is compiled from the Mexican Population and Household Census from 2005 (Conteo de Poblacion y Vivienda 2005). The data is at municipal level (of almost 2,000 municipalities) and is comprised of number of households and occupants according to ownership of various household goods including TV, washer, refrigerator, and computer. Where there were inconsistencies in municipality boundaries between the Mexican data and the available shapefile, the data have been combined in the appropriate fashion. The polygons that contain data from more than one municipality are labeled with all municipality names. Values of -1 represent no available data.
Description Selected Asian Ethnic Groups (Total Responses) by Religious Affiliation (Total Responses), for the Census Usually Resident Population Count, 2006 Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Description Selected Asian Ethnic Groups (Total Responses) by Sources of Personal Income (Total Responses), for the Census Usually Resident Population Count Aged 15 Years and Over, 2006 Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Description Selected Asian Ethnic Groups (Total Responses) by Total Personal Income (Grouped), for the Census Usually Resident Population Count Aged 15 Years and Over, 2006 Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Description Selected Asian Ethnic Groups (Total Responses) and Birthplace (New Zealand/Overseas) by Language Spoken (Total Responses), for the Census Usually Resident Population Count, 2006 Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Colorado Zip Codes
Algunos datos comparativos entre las principales localidades cordobesas
The point shapefile shows geocoded data for the best and worst closing for Dow in comparison to the other major stock exchange indices of the world. On 10th Oct, 2007, Dow reached the highest level and exactly one year later to the day (10th Oct, 2008) it plunged to its lowest level in the history of Dow. Much of the data was scraped from Yahoo! Finacials website, except for the Russian Trade Stock Index.
Air Emission locations. The dataset contains locations and attributes of Air Emissions, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. A database provided by the Environmental Protection Agency (EPA) identified Air Emission locations. All DC GIS data is stored and exported in Maryland State Plane coordinates NAD 83 meters.
GPX track file
This dataset is from the website USA Election Polls. The polls for each state have be done during different time periods is displayed as an attribute. Poll are the latest poll from each state and the source varies.
Presidential Election 2004 Results, USA by State, 2004
The poly shapefile shows the latest release of data available from BLS (Bureau of Labor Statistics) on the top 300 plus counties in the lower 48 states by the count of establishments, employees and wages. Accroding to BLS website, these counties account for more than 71% of the employees/establishments covered under the Unemployment Insurance (UI) and Unemployment Compensation for Federal Employees (UCFE) programs.
The poly shapefile shows the latest release of data available from BLS (Bureau of Labor Statistics) on the top 300 plus counties in the lower 48 states by the count of employees and percent change in employment levels between 2007 and 2008. Ranking based on percent change is also included. Accroding to BLS website, these counties account for more than 71% of the employees/establishments covered under the Unemployment Insurance (UI) and Unemployment Compensation for Federal Employees (UCFE) programs.
The poly shapefile shows the latest release of data available from BLS (Bureau of Labor Statistics) on the top 300 plus counties in the lower 48 states by avg. weekly wages and and percent change in the same between 2007 and 2008. Ranking based on percent change is also included. Accroding to BLS website, these counties account for more than 71% of the employees/establishments covered under the Unemployment Insurance (UI) and Unemployment Compensation for Federal Employees (UCFE) programs
Description Birthplace (New Zealand/Overseas) by Ethnic Group (Grouped Total Responses), for the Census Usually Resident Population Count, 2006 Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Description Birthplace (Broad Geographic Areas) by Total Personal Income (Grouped), for the Census Usually Resident Population Count Aged 15 years and Over, 2006 Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
"The sources for this database are mainly census data, from the 2000 round of censuses. Census data were used for 22 countries. Countries not taking periodic censuses but keeping population registers have provided data extracted from these registers; this is the case for four countries: Denmark, Finland, Norway and Sweden. For some countries, not all themes covered in the database are present in the national census or register. Labour force surveys, provided by Eurostat and averaged over the period 1998-2002, have been used to fill the gaps where possible. Most countries that provided census or register data have applied a random rounding procedure intended to prevent the disclosure of individual information. This procedure consists in randomly rounding each data cell to the closest upper or lower multiple of 3 or 5. Any figure extracted from the database reflects this procedure and the population totals or subtotals may therefore vary slightly from one table to the other. In order to improve the reliability of the population estimates from the labour force surveys, several surveys over the period 1998-2002 have been stacked and the figures have been averaged over this period. The significance thresholds provided by Eurostat for individual surveys were adapted to reflect the increased sample size resulting from this operation, taking into account the overlap between two successive surveys. No cell with a population below these calculated thresholds can be published, and the cells are assumed to have a zero population. The exact national source and reference period for each file is given in Table A.1 (see the methodological document)."
This feed includes a list of all early voting locations nationally Voting data courtesy of open-source feeds from GoVote.org, a nonpartisan civic engagement project of CREDO Mobile and New Organizing Institute. Visit their site to read terms and conditions.
Description Selected Pacific Ethnic Groups (Total Responses) and Birthplace (New Zealand/Overseas) by Language Spoken (Total Responses), for the Census Usually Resident Population Count, 2006 Please note that when no data was available the value -1 was used as a placeholder for statistical purposes. Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Description Iwi (Total Responses) by Cigarette Smoking Status, for the Maori Descent Census Usually Resident Population Count Aged 15 Years and Over, 2006 Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Description Selected Pacific Ethnic Groups (Total Responses) by Cigarette Smoking Status, for the Census Usually Resident Population Count Aged 15 Years and Over, 2006 Please note that when no information was available the value -1 was used as a place holder. Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Early voting locations around the US. Voting data courtesy of open-source feeds from GoVote.org, a nonpartisan civic engagement project of CREDO Mobile and New Organizing Institute. Visit their site to read terms and conditions.
Description Ethnic Group (Grouped Total Responses) by Total Personal Income (Grouped), for the Census Usually Resident Population Count Aged 15 years and Over, 2006 Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Description Number of Languages Spoken by Ethnic Group (Grouped Total Responses), for the Census Usually Resident Population Count, 2006 Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
This is the mean annual income of plumbers, pipelayers, and pipefitters in 2007. The data is from the Occupational Employment Statistics Survey Program through the U.S. Department of Labor. Pipelayers, plumbers, pipefitters, and steamfitters are among the highest paid construction occupations. Median hourly earnings of wage and salary plumbers, pipefitters, and steamfitters were $20.56.
This dataset contains the "Ecological Footprint, biocapacity and other data on more than 150 nations in the year 2003 as calculated in the 2006 Edition of the National Footprint Accounts . WWF International was the primary sponsor of this year's update. These data were first published in WWF's Living Planet Report 2006." All values are global ha/person and values of 0.0 represent less than 0.05
This data shows the amount of each type of livestock in each country. Each value represents an individual head of livestock. FAOSTAT provides time-series and cross sectional data relating to food and agriculture for some 200 countries.
Description Iwi (Total Responses) by Total Personal Income (Grouped), for the Maori Descent Census Usually Resident Population Count Aged 15 Years and Over, 2006 Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Description Selected Pacific Ethnic Groups (Total Responses) by Sources of Personal Income (Total Responses), for the Census Usually Resident Population Count Aged 15 Years and Over, 2006 Census usually resident population count Please note that when no information was available the value -1 was used as a placeholder. The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
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This data displays the total beef consumption by country around the world in 1000 tonnes. The Food and Agriculture Organization of The United Nations compiles statistical data on heads of beef as well as pounds consumed in each country per year.
Description Selected Pacific Ethnic Groups (Total Responses) by Total Personal Income (Grouped), for the Census Usually Resident Population Count Aged 15 Years and Over, 2006 Please note that when no data was available the value -1 was used as a place holder. Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
This data displays the total beef production by country around the world in 1000 tonnes. The Food and Agriculture Organization of The United Nations compiles statistical data on heads of beef as well as pounds consumed in each country per year.
Description Iwi (Total Responses) by Industry (ANZSIC06 Division), for the Employed Maori Descent Census Usually Resident Population Count Aged 15 Years and Over, 2006 Rounding The data in this table has been randomly rounded to protect confidentiality. Individual figures may not add up to totals, and values for the same data may vary in different tables. Maori descent A person has Maori descent if they are of the Maori race of New Zealand. This includes any descendant of such a person. Employed Census Usually Resident Population Count Aged 15 Years and Over Refers to people usually resident in New Zealand employed in either the full-time or part-time labour force. It excludes people who are unemployed and seeking work, and those people not in the labour force.
Description Iwi (Total Responses) and Tenure Holder by Sex, for the Maori Descent Census Usually Resident Population Count Aged 15 Years and Over, 2006 Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Description Iwi (Total Responses) by Occupation (ANZSCO V1.0 Major Group), for the Employed Maori Descent Census Usually Resident Population Count Aged 15 Years and Over, 2006 Rounding The data in this table has been randomly rounded to protect confidentiality. Individual figures may not add up to totals, and values for the same data may vary in different tables. Maori descent A person has Maori descent if they are of the Maori race of New Zealand. This includes any descendant of such a person. Employed Census Usually Resident Population Count Aged 15 Years and Over Refers to people usually resident in New Zealand employed in either the full-time or part-time labour force. It excludes people who are unemployed and seeking work, and those people not in the labour force.
Description Iwi (Total Responses) by Official Language Indicator, for the Maori Descent Census Usually Resident Population Count, 2006 Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Description Iwi (Total Responses) by Highest Qualification, for the Maori Descent Census Usually Resident Population Count Aged 15 Years and Over, 2006 Description Iwi (Total Responses) by Highest Qualification, for the Maori Descent Census Usually Resident Population Count Aged 15 Years and Over, 2006
Description Iwi (Total Responses) by Religious Affiliation (Total Responses), for the Maori Descent Census Usually Resident Population Count, 2006 Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Description Iwi (Total Responses) by Status in Employment, for the Employed Maori Descent Census Usually Resident Population Count Aged 15 Years and Over, 2006 Rounding The data in this table has been randomly rounded to protect confidentiality. Individual figures may not add up to totals, and values for the same data may vary in different tables. Maori descent A person has Maori descent if they are of the Maori race of New Zealand. This includes any descendant of such a person. Employed Census Usually Resident Population Count Aged 15 Years and Over Refers to people usually resident in New Zealand employed in either the full-time or part-time labour force. It excludes people who are unemployed and seeking work, and those people not in the labour force.
This dataset is a compilation of data from various sources. Values of -1 represent no available information. For scores, the higher the number the better for market health
Percentage of Elderly Population by Country, 2004 or latest available year.In all OECD countries, populations aged 65 years and over have dramatically increased over the last 30 years, both in size and as a percentage of total population. As elderly people tend to be concentrated in few areas within each country, a small number of regions will have to face the social and economic challenges raised by ageing population.
Description Language Spoken (Total Responses) by Age Group, for the Census Usually Resident Population Count, 2006 Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Description Selected Pacific Ethnic Groups (Total Responses) by Occupation (ANZSCO V1.0 Major Group), for the Employed Census Usually Resident Population Count Aged 15 Years and Over, 2006 Please note that when no data was available of confidential the value -1 was used as a place holder for statistical purposes. Rounding The data in this table has been randomly rounded to protect confidentiality. Individual figures may not add up to totals, and values for the same data may vary in different tables. Employed Census Usually Resident Population Count Aged 15 Years and Over Refers to people usually resident in New Zealand employed in either the full-time or part-time labour force. It excludes people who are unemployed and seeking work, and those people not in the labour force.
The point shapefile shows geocoded data of the so called Schedule F "Coordinated Itemized Expenditure" for the month of Sept, 2008 from the Oct 20, 2008 FEC report submitted by RNC (Republican National Committee). Each transaction is listed twice, one for the individual who carried out that transaction and the other is for the company/entity that provided the service/goods. Note that individual names have been deleted from these records if they are not running for the public office. Please read this important Note From FEC: http://www.fec.gov/pages/brochures/sale_and_use_brochure.pdf
This dataset gives the locations of the Simon Malls throughout the US as well as international locations
The point shapefile shows geocoded data of the transactions listed as Campaign Accessories in the latest Campaign Finance report filed by RNC (Republican National Committee) with the FEC. Its based on the so called Schedule F "Coordinated Itemized Expenditure" for the month of Sept, 2008 filed by RNC on Oct 20, 2008 FEC. Note that individual names involved in these transactions have been deleted unless they are running for a public office. Please see elsewhere on the Finder! the full schedule F data on the coordinated itemized transactions. Please read this important Note From FEC: http://www.fec.gov/pages/brochures/sale_and_use_brochure.pdf
This shapefile is a compilation of 2 different sources and has been edited in order to update international changes. It is fairly simplified therefore the geometries are basic. Many of the worlds smaller islands are not included. The original source is DIVA-GIS. Some new shapes were created and some names changed. Then, alternative names and country codes were added to create more joining options. Population and area were joined from the world boundry file from thematicmapping.org.
Museum and movie theaters in ohio
This dataset shows current shopping malls in the state of Ohio. Some malls had incomplete data for number of stores, square footage, and number of anchor stores. A value of 0 was assigned in these instances.
This dataset give the annual number of Sunny days for cities as well as some other demographic data.
This data shows every idfferent commercial fishery landings at major U.S. ports and then it is summerized by year and rank. The Fisheries Statistics Division collects data and coordinates information and research programs to support the science-based stewardship of the nation's living marine resources. In addition to integrating and disseminating state and federal statistics about marine fisheries, we administer the surveys used to estimate recreational landings.
day 2 bomb threats for GeoInt
Firestatiosn in and around Nashville Tennessee for GeoInt
Highschool locations in Nashville TN for Geoint interop
Hospital Locations for the Geoint interop
Police station data for Geoint Interop
This data set shows tract level data for the State of Illinois, Attributes show the number of individuals per tract that fall into each income grouping. Income levels start at under $10,000, and go all the way up to Over $100,000.
This data set shows tract level data for the State of Indiana, Attributes show the number of individuals per tract that fall into each income grouping. Income levels start at under $10,000, and go all the way up to Over $100,000.
This data set shows tract level data for the State of Ohio, Attributes show the number of individuals per tract that fall into each income grouping. Income levels start at under $10,000, and go all the way up to Over $100,000.
This dataset gives the average number of sunny days in a year by city in the USA. The data were collected by NOAA.
The point shapefile shows geocoded data of the transactions listed as Campaign Accessories in the latest Campaign Finance report filed by RNC (Republican National Committee) with the FEC. Its based on the so called Schedule F "Coordinated Itemized Expenditure" for the month of Sept, 2008 filed by RNC on Oct 20, 2008 FEC. Note that individual names involved in these transactions have been deleted unless they are running for a public office. Please see elsewhere on the Finder! the full schedule F data on the coordinated itemized transactions. Please read this important Note From [edited]
The poly shapefile shows individual campaign donations geocoded and then aggregated to county level. There were more than 236 thousand individual donation records that were geocoded based on the monthly Campaign Finance report submitted to Federal Election Commission (FEC) by Obama campaign on 20th Oct, 2008.
This dataset is and evaluation route uploaded for an exercise for Geoint.
This dataset is and evaluation route uploaded for an exercise for Geoint.
This dataset provides the number and percentage of $1 million + homes from 2000 to 2003 by state in the USA. The data come from the U.S. Census Bureau's 2003 American Community Survey. "Data based on twelve monthly samples during 2003. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see http://factfinder.census.gov/home/en/datanotes/exp_acs2003.html."
draft watershed analysis units for Duncan Lake
50m generalization.
This data shows the administrative Flyway Boundaries for the Continental United States. The purpose of the data is to define the administrative boundaries of the four major waterfowl migration flyways for the continental US. Flyway boundaries were created from county boundaries extracted from a coverage of the same taken from a 1:2M ArcUSA database published and marketed by ESRI in 1992. The actual boundary source used by ESRI was from 1988 USGS DLG files.
This file includes the spatial means of attacks in Afghanistan for all of the months contained in the time period: april 07 to march 08. Original data comes from WITS. This data was found at the Worldwide Incidents tracking system website. The raw data was used in various applications for statistical analysis and geospatial analysis. This data set shows the end result of the Spatial mean of Attacks in Afghanistan, as shown over time.
This file includes the spatial means of attacks in Iraq for all of the months contained in the time period: april 07 to march 08. Original data comes from WITS. This data was found at the Worldwide Incidents tracking system website. The raw data was used in various applications for statistical analysis and geospatial analysis. This data set shows the end result of the Spatial mean of Attacks in Iraq, as shown over time.
Comarca de Mgina. Poblacin 2007
This dataset shows attacks in Iraq and Afghanistan (April 07 - Sep -07). The dataset has been created from Worldwide Incidents Tracking System (WITS).
This data shows attacks in Iraq and Afghanistan (Oct 07 - March 08)from the Worldwide incidents tracking system. Attacks include all reported attacks in Iraq and Afghanistan including fatalities, wounded, and hostages taken, along with other notes on the attack.
This dataset contains all of the attacks in Afghanistan between the beginning of 2004 until March of 2008. The dataset has been created from Worldwide Incidents Tracking System (WITS).
Description Selected Pacific Ethnic Groups (Total Responses) by Religious Affiliation (Total Responses), for the Census Usually Resident Population Count, 2006 Please note that when no data was available or confidential the value -1 was used as a placeholder. Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Description Selected Pacific Peoples Ethnic Groups (Total Responses) and Unpaid Activities (Total Responses) by Sex, for the Census Usually Resident Population Count Aged 15 Years and Over, 2006 Please note that when no data was available or confidential the value -1 was used as a placeholder for statistical purposes. Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Description Selected Pacific Ethnic Groups (Total Responses) and Work and Labour Force Status by Sex, for the Census Usually Resident Population Count Aged 15 Years and Over, 2006 Please note that when no data was available or confidential the value -1 was used as a placeholder for statistical purposes. Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Description Selected Pacific Ethnic Groups (Total Responses) by Age Group and Sex, for the Census Usually Resident Population Count, 2006 Please note that when no data was available or confidential, the value -1 was used as a place holder for Statistical purposes. Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
Description Selected Pacific Ethnic Groups (Total Responses) by Highest Qualification, for the Census Usually Resident Population Count Aged 15 Years and Over, 2006 Please note that when no data was available or confidential the value -1 was used as a placeholder for statistical purposes. Census usually resident population count The census usually resident population count of New Zealand consists of people in New Zealand on census night who are usually resident in New Zealand. It is all people counted in New Zealand on census night, excluding overseas visitors and New Zealand residents temporarily overseas. The census usually resident population count of an area in New Zealand is a count of all people who usually live in that area and are present in New Zealand on census night. This count excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city but was in Wellington city on census night will be included in the census usually resident population count of Christchurch city and also will be included in the census night population count of Wellington city. They will be excluded from the census night population count of Christchurch city and from the census usually resident population count of Wellington city.
This dataset is and evaluation route uploaded for an exercise for Geoint.
Business demographic statistics are produced annually from the Business Frame as at February. Enterprises: A business or service entity operating in New Zealand. It can be a company, partnership, trust, estate, incorporated society, producer board, local or central government organisation, voluntary organisation or self-employed individual. In terms of enterprise counts by area, the distinct number of enterprises are produced. This means if an enterprise is operating in two or more locations within an area, only one unit is contributed to the number of enterprises. Individual components will not add up to Sub Totals and Totals. An Enterprise may have Geographic Units in more than one geographic area, so it is counted separately in each of those geographic areas. However, for Sub Totals and Totals, the Enterprise is counted only once. Employee Count (EC): Employee count is a head-count of all salary and wage earners for the February reference month. *All employment figures are rounded and discrepancies may occur between sums of components and totals. Due to the method applied to define the industry coverage, there is a small difference in the total employee count for enterprises and geographic units.
Business demographic statistics are produced annually from the Business Frame as at February. Geographic Unit: A separate operating unit engaged in New Zealand in one, or predominately one, kind of economic activity from a single physical location or base. Enterprises: A business or service entity operating in New Zealand. It can be a company, partnership, trust, estate, incorporated society, producer board, local or central government organisation, voluntary organisation or self-employed individual. The number of distinct enterprises that are operating within the given area, this means that when an enterprise is operating in two or more locations within an area, only one unit is contributed to the number of enterprises. Full-time person:* A person who worked 30 hours or more per week during the reference period. Part-time person:* A person who worked less than 30 hours per week during the reference period. Full-time equivalent:* Full-time Equivalent Persons Engaged (FTE) equals the sum of the full-time employees and working proprietors plus half the part-time employees and working proprietors. *All employment figures are rounded and discrepancies may occur between sums of components and totals.
Taliban attacked or overran four district centers in September compared to 10 in August, 11 in July and 20 in June, according to press sources. A let-up in district attacks would be sufficient to explain the decline in overall fighting. These require more preparation and manpower than the usual drive-by shootings and ambushes. The chart below lists the province name, total districts in the province, the number of districts that experienced clashes in the month and total clashes for the province in the month. The data contains no surprises in that the core provinces contained the most districts under stress. The yellow highlight showcases the worst provinces measured by districts under stress.
The poly shapefile shows individual donations to Obama campaign during first 15 days of October aggregated at the county level. The data is based on "Pre-Gen" campaign finance report submitted by Obama campaign to FEC (Federal Election Commission) on 23rd Oct, 2008. The individual records (nearly 150 K) were geocoded by street address and then aggregated to the county level.
Taliban attacked or overran four district centers in September compared to 10 in August, 11 in July and 20 in June, according to press sources. A let-up in district attacks would be sufficient to explain the decline in overall fighting. These require more preparation and manpower than the usual drive-by shootings and ambushes. The chart below lists the province name, total districts in the province, the number of districts that experienced clashes in the month and total clashes for the province in the month. The data contains no surprises in that the core provinces contained the most districts under stress. The yellow highlight showcases the worst provinces measured by districts under stress.
This is all the attacks from 2008 that have been aggregated to common lat long so that information can be seen by single locations. You can show data by number of attack in each area, number of dead, number of IED attacks ect. Some locations that lacked specific city information have been placed in the center of the state in which the attack too place.
This Dataset shows the Alexa Top 100 International Websites, and provides metrics on the volume of traffic that these sites were able to handle. The Alexa top 100 lists the 100 most visited websites in the world and measures various statistical information. I have looked up the Headquarters, either through alexa, or a Whois Lookup to get street address with i was then able to geocode. I was only able to successfully geocode 85 of the top 100 sites throughout the world. Source of Data was Alexa.com, Source URL: http://www.alexa.com/site/ds/top_sites?ts_mode=global&lang=none Data was from October 12, 2007. Alexa is updated daily so to get more up to date information visit their site directly. they don't have maps though.
This dataset provides the number of $1 million + homes in the US counties with the most $1 million + homes. Data are from the US Census "2007 American Community Survey 1-Year Estimates". The title of the B25075-Value of Owner Occupied Housing Units
This dataset provides the number and percentage of $1 million + homes for 2007 by state in the USA. The data come from the U.S. Census Bureau's 2007 American Community Survey 1-Year Estimates. "Data based on twelve monthly samples during 2003. For information on confidentiality protection, sampling error, nonsampling error, and definitions"
This dataset displays the inmate populations for all the Federal Prisons throughout the United States on 10.23.08. This weekly Population Report can be found on the Bureau of Prisons website at bop.gov. These facilities are positioned by their lat/lon and this dataset is updated on a weekly basis.
This coverage represents year MODIS fire detections for the 7 day period specified for the geographic area covering the conterminous United States, Alaska, Hawaii, Canada and northern Mexico. The detections are obtained using both TERRA MODIS and AQUA MODIS data are collected and processed as a cooperative effort between the USDA Forest Service Remote Sensing Application Center, NASA-Goddard Space Flight Center and the University of Maryland. These fire detection data are collected for the USDA Forest Service MODIS Active Fire Mapping Program (http://activefiremaps.fs.fed.us). These data are intended to provide a synoptic view of active fires for the past and present over the specified time period. These data are collected at a spatial resolution of 1 kilometer and therefore are only intended for geographic display and analysis at the national and regional levels. No responsibility is assumed by the USDA Forest Service in the use of these data.
This data shows the population of Asian Americans in the United States in 1990 and 2006.
This datasets displays the locations of all recorded earthquakes of a magnitude of 1 or greater around the world from the period of 10.21.08 to 10.28.08. The findings are from the US Geological Survey (USGS). Earthquake information is extracted from a merged catalog of earthquakes located by the USGS and contributing networks. Earthquakes will be broadcast within a few minutes for California events and within 30-minutes for world-wide events.
This dataset is from the website USA Election Polls. The polls for each state have be done during different time periods is displayed as an attribute. Poll are the latest poll from each state and the source varies.
This dataset provides the number of $1 million + homes in the US counties with the most $1 million + homes. Data are from the US Census "2007 American Community Survey 1-Year Estimates". The title of the B25075-Value of Owner Occupied Housing Units. The dataset also provide information on which candidate each county voted for in the 2004 Presidential Election.
The Behavioral Risk Factor Surveillance System (BRFSS) is the worlds largest, on-going telephone health survey system, tracking health conditions and risk behaviors in the United States yearly since 1984. Currently, data are collected monthly in all 50 states, the District of Columbia, Puerto Rico, the U.S. Virgin Islands, and Guam. metropolitan/micropolitan statistical areas (MMSAs) Behavioral Risk Factor Surveillance System Survey Data. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention,2007
The Behavioral Risk Factor Surveillance System (BRFSS) is the worlds largest, on-going telephone health survey system, tracking health conditions and risk behaviors in the United States yearly since 1984. Currently, data are collected monthly in all 50 states, the District of Columbia, Puerto Rico, the U.S. Virgin Islands, and Guam. metropolitan/micropolitan statistical areas (MMSAs) Behavioral Risk Factor Surveillance System Survey Data. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention,2007
This data set comes from the Worldwide incidents tracking system (WITS) which catalogs terrorist activity around the world. This data set shows attacks on pipelines within the country of Iraq for the year leading up to the US Surge of forces in Iraq.
This data set comes from the Worldwide incidents tracking system (WITS) which catalogs terrorist activity around the world. This data set shows attacks on energy infrastructure within the country of Iraq for the year leading up to the US Surge of forces in Iraq. data includes latitude longitude and the number of attacks at each location.
This data set comes from the Worldwide incidents tracking system (WITS) which catalogs terrorist activity around the world. This data set shows attacks on pipelines within the country of Iraq for the year after the US Surge of forces in Iraq.
This data set comes from the Worldwide incidents tracking system (WITS) which catalogs terrorist activity around the world. This data set shows attacks on pipelines within the country of Iraq for the year After the US Surge of forces in Iraq. Data includes the latitude and longitude of the attacks, and the number of attacks at each location.
This dataset shows locations throughout the USA by lat/lon position of where Barack Obama has made slight geographical gaffes. For general state mistakes the capitol city was goelocated. The data comes from the Republican National Committee's website under the section called Obama Gaffes.
The Behavioral Risk Factor Surveillance System (BRFSS) is the worlds largest, on-going telephone health survey system, tracking health conditions and risk behaviors in the United States yearly since 1984. Currently, data are collected monthly in all 50 states, the District of Columbia, Puerto Rico, the U.S. Virgin Islands, and Guam. metropolitan/micropolitan statistical areas (MMSAs) Behavioral Risk Factor Surveillance System Survey Data. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention,2007
The Behavioral Risk Factor Surveillance System (BRFSS) is the worlds largest, on-going telephone health survey system, tracking health conditions and risk behaviors in the United States yearly since 1984. Currently, data are collected monthly in all 50 states, the District of Columbia, Puerto Rico, the U.S. Virgin Islands, and Guam. metropolitan/micropolitan statistical areas (MMSAs) Behavioral Risk Factor Surveillance System Survey Data. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention,2007
The Behavioral Risk Factor Surveillance System (BRFSS) is the worlds largest, on-going telephone health survey system, tracking health conditions and risk behaviors in the United States yearly since 1984. Currently, data are collected monthly in all 50 states, the District of Columbia, Puerto Rico, the U.S. Virgin Islands, and Guam. metropolitan/micropolitan statistical areas (MMSAs) Behavioral Risk Factor Surveillance System Survey Data. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention,2007
The Behavioral Risk Factor Surveillance System (BRFSS) is the worlds largest, on-going telephone health survey system, tracking health conditions and risk behaviors in the United States yearly since 1984. Currently, data are collected monthly in all 50 states, the District of Columbia, Puerto Rico, the U.S. Virgin Islands, and Guam. metropolitan/micropolitan statistical areas (MMSAs) Behavioral Risk Factor Surveillance System Survey Data. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention,2007
The Behavioral Risk Factor Surveillance System (BRFSS) is the worlds largest, on-going telephone health survey system, tracking health conditions and risk behaviors in the United States yearly since 1984. Currently, data are collected monthly in all 50 states, the District of Columbia, Puerto Rico, the U.S. Virgin Islands, and Guam. metropolitan/micropolitan statistical areas (MMSAs) Behavioral Risk Factor Surveillance System Survey Data. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention,2007
The Behavioral Risk Factor Surveillance System (BRFSS) is the worlds largest, on-going telephone health survey system, tracking health conditions and risk behaviors in the United States yearly since 1984. Currently, data are collected monthly in all 50 states, the District of Columbia, Puerto Rico, the U.S. Virgin Islands, and Guam. metropolitan/micropolitan statistical areas (MMSAs) Behavioral Risk Factor Surveillance System Survey Data. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention,2007
The Behavioral Risk Factor Surveillance System (BRFSS) is the worlds largest, on-going telephone health survey system, tracking health conditions and risk behaviors in the United States yearly since 1984. Currently, data are collected monthly in all 50 states, the District of Columbia, Puerto Rico, the U.S. Virgin Islands, and Guam. metropolitan/micropolitan statistical areas (MMSAs) Behavioral Risk Factor Surveillance System Survey Data. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention,2007
The Behavioral Risk Factor Surveillance System (BRFSS) is the worlds largest, on-going telephone health survey system, tracking health conditions and risk behaviors in the United States yearly since 1984. Currently, data are collected monthly in all 50 states, the District of Columbia, Puerto Rico, the U.S. Virgin Islands, and Guam. metropolitan/micropolitan statistical areas (MMSAs) Behavioral Risk Factor Surveillance System Survey Data. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention,2007
The Behavioral Risk Factor Surveillance System (BRFSS) is the worlds largest, on-going telephone health survey system, tracking health conditions and risk behaviors in the United States yearly since 1984. Currently, data are collected monthly in all 50 states, the District of Columbia, Puerto Rico, the U.S. Virgin Islands, and Guam. metropolitan/micropolitan statistical areas (MMSAs) Behavioral Risk Factor Surveillance System Survey Data. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention,2007 Please see the metadata for attribute definitions.
This dataset displays the inmate populations for all the Federal Prisons throughout the United States on 10.30.08. This weekly Population Report can be found on the Bureau of Prisons website at bop.gov. These facilities are positioned by their lat/lon and this dataset is updated on a weekly basis.
This file includes spatial means of fatalities in Iraq for all of the months in the time period: april 07 to march 08. Original data comes from WITS.
This file includes spatial means of fatalities in Afghanistan for all of the months in the time period: april 07 to march 08. Original data comes from WITS.
This file includes spatial means of IED fatalities in Iraq for all of the months in the time period: april 07 to march 08. Original data comes from WITS.
This file includes spatial means of IED fatalities in Afghanistan for all of the months in the time period: april 07 to march 08. Original data comes from WITS.
The poly shapefile of the lower 48 counties shows the aggregated totals of individual donation records for the month of August in 2008. The raw data was downloaded from Federal Election Commission and geocoded based on the street address, city, state, zip. It had over 200 K records which were then aggregated to county level using county polyfile.
Frederick County, Md.'s polling sites for the 2008 elections
test data for Google Maps experiment
This dataset maps locations throughout the District of Columbia that are supposedly haunted. The data was received from an AOL Hometown page that describes places throughout the District of Columbia were you can do ghost hunting. One very important thing to stress is that many of these place are restricted areas and you must have permission to visit them. And also beware of what you see when you got to visit ... BOOOOOOO!
The Behavioral Risk Factor Surveillance System (BRFSS) is the worlds largest, on-going telephone health survey system, tracking health conditions and risk behaviors in the United States yearly since 1984. Currently, data are collected monthly in all 50 states, the District of Columbia, Puerto Rico, the U.S. Virgin Islands, and Guam. metropolitan/micropolitan statistical areas (MMSAs) Behavioral Risk Factor Surveillance System Survey Data. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention,2007
This image was collected by a Maverick UAV (unmanned aerial vehicle) Tuesday August 18th. The iamge is of a suspected Taliban safe house that is the latest intelligence believes is harboring Al Qaeda operatives
The 2008 MasterCard Worldwide Centers of Commerce: Emerging Markets Index seeks to define these new markets through the 65 key cities that drive their growth. It also offers insights into the specific factors that make these cities important for corporations and others to consider. Part of the MasterCard Worldwide Centers of Commerce program, a larger, ongoing effort to understand the role of cities in the global economy, the Emerging Markets Index explores the economic trends that distinguish these cities from others around the world. This report provides detailed insights into these cities and how they compare to one another in critical economic and business functions.
map of world
A map of Camp Wellstone Alums that are running for office in 2008.
This datset comes from CDC and examines the tragic rise in Diabetes in the past ten years across the USA. Data was obnly available for 33 states so any state that has a value of zero for any of the categories should be ignored. This is one of the first major studies on diabetes that has been localized by state. Please refer to the weblink source for information about this study.
This dataset shows the cultivated land areas in Afghanistan. This dataset was mapped at 1:100,000 scale by the United States Defense Mapping Agency. These data were released in 1997 and was found online at the Afghanistan Information Management Services in Shape file format.This polygon dataset is intended for use within Afghanistan and is suitable for general studies and local planning.
The 2008 MasterCard Worldwide Centers of Commerce: Emerging Markets Index seeks to define these new markets through the 65 key cities that drive their growth. It also offers insights into the specific factors that make these cities important for corporations and others to consider. Part of the MasterCard Worldwide Centers of Commerce program, a larger, ongoing effort to understand the role of cities in the global economy, the Emerging Markets Index explores the economic trends that distinguish these cities from others around the world. This report provides detailed insights into these cities and how they compare to one another in critical economic and business functions. Asia Pacific, Middle East and Africa This region was by far the best represented in the Index, containing 38 of the studys 65 cities. A primary reason for this was the dominance of China in the rankings. Of the top 30 cities in the Index, 15 are Chinese. China also claims seven of the regions top ten Emerging Markets Index cities, led by #1 and #2 overall Shanghai and Beijing.
The map data is derived from the United Nations Environment Programme (UNEP) for the years ranging from 1990 to 2001. The map shows the concentration of the total quantity of fongicides and/or bactericides used in or sold to the agricultural sector by country measured in metric tons. According to UNEP this is corresponds to the definition for pesticide consumption. The classifications of fongicides and bactericides include inorganics, dithiocarbamates, benzimidazoles, triazoles, diazoles, diazines, morpholines and others not elsewhere classified. Online [edited] original source: http://apps.fao.org
The 2008 MasterCard Worldwide Centers of Commerce: Emerging Markets Index seeks to define these new markets through the 65 key cities that drive their growth. It also offers insights into the specific factors that make these cities important for corporations and others to consider. Part of the MasterCard Worldwide Centers of Commerce program, a larger, ongoing effort to understand the role of cities in the global economy, the Emerging Markets Index explores the economic trends that distinguish these cities from others around the world. This report provides detailed insights into these cities and how they compare to one another in critical economic and business functions. The LAC region is second in numbers in the Emerging Markets Index, with 16 cities overall. The region is led by #5 overall Santiago and #7 overall Mexico City, followed closely by #12 and #13 overall So Paolo and Buenos Aires. Indeed, 12 LAC cities were in the top 50 (Santo Domingo, Quito, Medellin and Caracas being the exceptions).
The 2008 MasterCard Worldwide Centers of Commerce: Emerging Markets Index seeks to define these new markets through the 65 key cities that drive their growth. It also offers insights into the specific factors that make these cities important for corporations and others to consider. Part of the MasterCard Worldwide Centers of Commerce program, a larger, ongoing effort to understand the role of cities in the global economy, the Emerging Markets Index explores the economic trends that distinguish these cities from others around the world. This report provides detailed insights into these cities and how they compare to one another in critical economic and business functions. Eastern and southern Europe, with 11 cities in the Index, presented a host of interesting findings. The region ranked well with two of the top ten citiesBudapest ranking #3 and Warsaw ranking #8and also with Moscow ranking #14 and, surprisingly, Istanbul ranking #15. Sofia, Bulgaria (#30), Bucharest, Romania (#32), St. Petersburg, Russia (#41), and Ankara, Turkey (#50) rounded out the eastern and southern European cities in the top 50.
The 2008 MasterCard Worldwide Centers of Commerce: Emerging Markets Index seeks to define these new markets through the 65 key cities that drive their growth. It also offers insights into the specific factors that make these cities important for corporations and others to consider. Part of the MasterCard Worldwide Centers of Commerce program, a larger, ongoing effort to understand the role of cities in the global economy, the Emerging Markets Index explores the economic trends that distinguish these cities from others around the world. This report provides detailed insights into these cities and how they compare to one another in critical economic and business functions. Dimension Dimension Name Dimension Weight City Score 1 Economic and Commercial Environment 12.80% Santiago 10.34 2 Economic Growth and Development 13.80% Shanghai 9.83 3 Business Environment 16.60% Johannesburg, Cape Town, Durban 11.95 4 Financial Services Environment 10.60% Mumbai 8.46 5 Commercial Connectivity 13.00% Shanghai 9.57 6 Education and IT Connectivity 12.00% Beijing 7.71 7 Quality of Urban Life 10.60% Budapest 8.37 8 Risk and Security 10.60% Budapest 9.11
railway from Castilla-La Mancha, Spain Digitalized from Airphoto.
Lmite regional de Castilla La Mancha
The poly shapefile shows polling data for both McCain and Obama by state. The data was scraped from the online sources and RCP. The later is an average of many regional/national polls over a period of time.
This coverage represents year MODIS fire detections for the 7 day period specified for the geographic area covering the conterminous United States, Alaska, Hawaii, Canada and northern Mexico. The detections are obtained using both TERRA MODIS and AQUA MODIS data are collected and processed as a cooperative effort between the USDA Forest Service Remote Sensing Application Center, NASA-Goddard Space Flight Center and the University of Maryland. These fire detection data are collected for the USDA Forest Service MODIS Active Fire Mapping Program (http://activefiremaps.fs.fed.us). These data are intended to provide a synoptic view of active fires for the past and present over the specified time period. These data are collected at a spatial resolution of 1 kilometer and therefore are only intended for geographic display and analysis at the national and regional levels. No responsibility is assumed by the USDA Forest Service in the use of these data.
This datasets displays the locations of all recorded earthquakes of a magnitude of 1 or greater around the world from the period of 10.27.08 to 11.3.08. The findings are from the US Geological Survey (USGS). Earthquake information is extracted from a merged catalog of earthquakes located by the USGS and contributing networks. Earthquakes will be broadcast within a few minutes for California events and within 30-minutes for world-wide events.
The poly shapefile shows the number of registered voters by party affiliation and by county in Colorado. The data was downloaded from Colorado Secretary of State's (SOS) "Election Center" website and joined with the county shape file.
The poly shapefile shows the number of registered voters by party affiliation and by county in Nevada. The original data was downloaded from Nevada Secretary of State (SOS)'s website.
This data set shows the results for the 2004 Election along with the the polls for the 2008 Election. this also includes recent various socio-economic conditions which could impact the election including home price change, Unemployment rate, and change in personal income. data comes from various sources: Source: Real Clear Politics, Federal Housing Finance Agency, Bureau of Labor Statistics, Bureau of Economic Analysis Notes: Home price data based on change from second quarter 2007 to second quarter 2008; Unemployment rate as of September 2008; Personal income data based on change from second quarter 2007 to second quarter 2008
The poly shapefile shows count of registered voters by party affiliation and by county for Pennsylvania. The data was downloaded from Pennsylvania Secretary of State's (SOS) website.
This dataset give the numbers of voter registrations by county in Florida. The dataset contains total, republican, democratic, and other registrations. The Book Closing Date was- October 06, 2008
This dataset give the numbers of voter registrations by county in North Carolina. The dataset contains total, republican, democratic, and other registrations. It also contains registration data by race and gender. The Book Closing Date was- October 06, 2008
This dataset give the numbers of voter registrations by county in Wisconsin as of October 31st
This dataset give the numbers of voter registrations by county in Missouri in 2000, 2002, 2004, 2006.
This data shows the number of early votes in each state for the Presidental election in 2008. The data includes statistics from some of the major swing states as well as important "deciding factor" counties. The data was compiled by Dr. Michael McDonald, a professor at George Mason University.
This dataset gives the number of voter registrations for New Mexico as of January 25, 2008
This data set displays the democratic delegate vote allocation figures by state. The pledged delegate "base" allocation is determined by the jurisdiction's Presidential vote in 1996, 2000, and 2004 and the jurisdiction's electoral vote allocation. Jurisdictions beginning their process later in the cycle receive bonus delegates. The unpledged PLEO Democratic Delegates consist of Democratic Governors, House members, Senators; DNC members; distinguished party leaders (former Democratic Presidents, Governors, Representatives, and Senators); and Add-on delegates (as voted by the DNC). Elections, appointments, and deaths from now until the 2008 convention will change these numbers.
This data set displays the Republican delegate vote allocation figures by state. Republican Delegate Allocation. (Reference Rule 13 of "The Rules of the Republican Party") * For Jurisdictions with Constitutionally Elected Members of Congress: o 10 At-Large delegates from each state, that is, 5 at-large delegates for each U.S. Senator. o 3 District delegates for each U.S. Representative. * For Jurisdictions without Constitutionally Elected Members of Congress: o 6 at-large delegates from American Samoa. o 16 at-large delegates from the District of Columbia. o 6 at-large delegates from Guam. o 6 at-large delegates from the Northern Mariana Islands. o 20 at-large delegates from Puerto Rico. o 6 at-large delegates from Virgin Islands. * For all Jurisdictions - 3 party leaders: the national committeeman, the national committee woman, and the chairman of the state Republican Party. * Bonus Delegates
This data set displays the Democratic Pledged and Unpledged Delegate Summary. Please note that information is only available for Obama and Clinton.
This data set displays figures regarding federal representation by state in the United States. In the wake of Election 2000, there has been a lot of talk about the "unfairness" of the Electoral College. However, the United States is a Republic. Each state receives one Elector for each Senator and one Elector for each Representative it sends to Congress. The District of Columbia has 3 Electors, 0 Senators, and 0 Representatives. If then, there is "unfairness" in the allocation of the Electoral College, there must also be "unfairness" in the allocation of Congress. A minimum one Representative per State, regardless of its population, could also be construed as unfair (note that almost all the States are in the one Congressman per 600-something thousand range... note the disparities from that re: those States that have 1 Representative which is even more exacerbated with their 3 Electoral Votes).
The Secretary of State maintains a variety of electronic systems and data in order to provide election-related citizen services, enhance the accuracy and integrity of voter registration information, and promote efficiency in the management of elections. This page is intended to help make public data available in its raw format.
This data gives figures on registered voters throughout the state of Virginia by Localities. Localities include both counties and major cities. Registered figures include: Active, Inactive, All, Military, Overseas, and Temporary Residents. The Data contains all registered voters as of November 2nd, 2008.
This dataset is from the website USA Election Polls. The polls for each state have be done during different time periods is displayed as an attribute. Poll are the latest poll from each state and the source varies.
This data gives figures on registered voters throughout the state of Virginia by Localities. Localities include both counties and major cities. Registered figures include: Active, Inactive, All, Military, Overseas, and Temporary Residents. The Data contains all registered voters as of November, 2004.
Twitter Vote Report is a non-partisan, all-volunteer network of software developers, designers, and other collaborators have teamed up with the award-winning blog techPresident to launch this effort. The only resources contributed to this project are the participants time and expertise! Millions of Americans will be voting this Election Day. Many of these voters will have terrific experiences and wed love to hear about those. But many voters will experience voting problems that we have been hearing about for years: long lines, broken machines, and registered voters who cant vote because their names arent showing up on the registration rolls. Using Twitter Vote Report, voters will be able to share their experiences and resources with one another (e.g. #wait:120 meaning that the wait time is 120 minutes). These messages will then be aggregated and mapped so that we can see voting problems around the country in real-time.