100+ datasets found
  1. o

    Data from: US County Boundaries

    • public.opendatasoft.com
    • data.smartidf.services
    csv, excel, geojson +1
    Updated Jun 27, 2017
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    (2017). US County Boundaries [Dataset]. https://public.opendatasoft.com/explore/dataset/us-county-boundaries/
    Explore at:
    json, csv, excel, geojsonAvailable download formats
    Dataset updated
    Jun 27, 2017
    License

    https://en.wikipedia.org/wiki/Public_domainhttps://en.wikipedia.org/wiki/Public_domain

    Area covered
    United States
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The boundaries for counties and equivalent entities are as of January 1, 2017, primarily as reported through the Census Bureau's Boundary and Annexation Survey (BAS).

  2. a

    US States and Counties

    • data-tga.opendata.arcgis.com
    • hub.arcgis.com
    Updated Mar 31, 2023
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    Tennessee Geographic Alliance (2023). US States and Counties [Dataset]. https://data-tga.opendata.arcgis.com/maps/0f6646243af74db6a0c8ace06872249e
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    Dataset updated
    Mar 31, 2023
    Dataset authored and provided by
    Tennessee Geographic Alliance
    Area covered
    Description

    This map contains state and county boundaries for the United States for every decennial census from 1790-2020. Original data is from the NHGIS and was simplified to reduce file size using mapshaper.org

  3. 2022 Cartographic Boundary File (SHP), Current County Subdivision for United...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Dec 14, 2023
    + more versions
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Customer Engagement Branch (Point of Contact) (2023). 2022 Cartographic Boundary File (SHP), Current County Subdivision for United States, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2022-cartographic-boundary-file-shp-current-county-subdivision-for-united-states-1-500000
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    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    United States
    Description

    The 2022 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. In MCD states where no MCD exists or no MCD is defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The generalized boundaries of legal MCDs are based on those as of January 1, 2022, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The generalized boundaries of all CCDs, delineated in 21 states, are based on those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

  4. V

    GIS | US County Boundaries

    • data.virginia.gov
    csv
    Updated Mar 18, 2024
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    Dumfries (2024). GIS | US County Boundaries [Dataset]. https://data.virginia.gov/dataset/gis-us-county-boundaries
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    csv(1866483)Available download formats
    Dataset updated
    Mar 18, 2024
    Dataset authored and provided by
    Dumfries
    Area covered
    United States
    Description

    US Census Bureau Cartographic Boundary File of county boundaries for each state in the Unites States.

    From the US Census Bureau: "The cartographic boundary files are simplified representations of selected geographic areas from the Census Bureau’s MAF/TIGER geographic database. These boundary files are specifically designed for small scale thematic mapping."

  5. Data from: US County Boundaries

    • azgeo-open-data-agic.hub.arcgis.com
    • mapdirect-fdep.opendata.arcgis.com
    • +4more
    Updated Jun 5, 2024
    + more versions
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    GeoPlatform ArcGIS Online (2024). US County Boundaries [Dataset]. https://azgeo-open-data-agic.hub.arcgis.com/datasets/geoplatform::us-county-boundaries-1
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    Dataset updated
    Jun 5, 2024
    Dataset provided by
    Authors
    GeoPlatform ArcGIS Online
    Area covered
    Pacific Ocean, North Pacific Ocean
    Description

    The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and census areas; the latter of which are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. All of the counties in Connecticut and Rhode Island and nine counties in Massachusetts were dissolved as functioning governmental entities; however, the Census Bureau continues to present data for these historical entities in order to provide comparable geographic units at the county level of the geographic hierarchy for these states and represents them as nonfunctioning legal entities in data products. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands.Download: https://www2.census.gov/geo/tiger/TGRGDB24/tlgdb_2024_a_us_substategeo.gdb.zip Layer: CountyMetadata: https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Current_19115/series_tl_2023_county.shp.iso.xml

  6. TIGER/Line Shapefile, 2021, Nation, U.S., Counties and Equivalent Entities

    • catalog.data.gov
    Updated Nov 1, 2022
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Publisher) (2022). TIGER/Line Shapefile, 2021, Nation, U.S., Counties and Equivalent Entities [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2021-nation-u-s-counties-and-equivalent-entities
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    Dataset updated
    Nov 1, 2022
    Dataset provided by
    United States Department of Commercehttp://www.commerce.gov/
    United States Census Bureauhttp://census.gov/
    Area covered
    United States
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The boundaries for counties and equivalent entities are mostly as of January 1, 2021, as reported through the Census Bureau's Boundary and Annexation Survey (BAS).

  7. a

    Northeastern States County Boundary Set

    • ct-deep-gis-open-data-website-ctdeep.hub.arcgis.com
    • data.ct.gov
    • +5more
    Updated Oct 30, 2019
    + more versions
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    Department of Energy & Environmental Protection (2019). Northeastern States County Boundary Set [Dataset]. https://ct-deep-gis-open-data-website-ctdeep.hub.arcgis.com/maps/1912737fcbb84827ad50df6bc85f31b3
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    Dataset updated
    Oct 30, 2019
    Dataset authored and provided by
    Department of Energy & Environmental Protection
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Description

    Northeastern United States County Boundary data are intended for geographic display of state and county boundaries at statewide and regional levels. Use it to map and label counties on a map. These data are derived from Northeastern United States Political Boundary Master layer. This information should be displayed and analyzed at scales appropriate for 1:24,000-scale data. The State of Connecticut, Department of Environmental Protection (CTDEP) assembled this regional data layer using data from other states in order to create a single, seamless representation of political boundaries within the vicinity of Connecticut that could be easily incorporated into mapping applications as background information. More accurate and up-to-date information may be available from individual State government Geographic Information System (GIS) offices. Not intended for maps printed at map scales greater or more detailed than 1:24,000 scale (1 inch = 2,000 feet.)

  8. 2020 Cartographic Boundary File (SHP), Current County Subdivision for United...

    • catalog.data.gov
    Updated Dec 14, 2023
    + more versions
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Customer Engagement Branch (Point of Contact) (2023). 2020 Cartographic Boundary File (SHP), Current County Subdivision for United States, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2020-cartographic-boundary-file-shp-current-county-subdivision-for-united-states-1-500000
    Explore at:
    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    United States
    Description

    The 2020 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. In MCD states where no MCD exists or no MCD is defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The generalized boundaries of legal MCDs are based on those as of January 1, 2020 as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The generalized boundaries of all CCDs, delineated in 21 states, are those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

  9. o

    Counties - United States of America

    • public.opendatasoft.com
    • data.smartidf.services
    • +1more
    csv, excel, geojson +1
    Updated Jun 6, 2024
    + more versions
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    (2024). Counties - United States of America [Dataset]. https://public.opendatasoft.com/explore/dataset/georef-united-states-of-america-county/
    Explore at:
    excel, json, geojson, csvAvailable download formats
    Dataset updated
    Jun 6, 2024
    License

    https://en.wikipedia.org/wiki/Public_domainhttps://en.wikipedia.org/wiki/Public_domain

    Area covered
    United States
    Description

    This dataset is part of the Geographical repository maintained by Opendatasoft. This dataset contains data for counties and equivalent entities in United States of America. The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities.Processors and tools are using this data. Enhancements Add ISO 3166-3 codes. Simplify geometries to provide better performance across the services. Add administrative hierarchy.

  10. C

    USA Census Counties

    • data.colorado.gov
    • colorado-river-portal.usgs.gov
    • +4more
    application/rdfxml +5
    Updated Jan 29, 2025
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    (2025). USA Census Counties [Dataset]. https://data.colorado.gov/dataset/USA-Census-Counties/wu9b-sep6
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    csv, application/rdfxml, application/rssxml, xml, tsv, jsonAvailable download formats
    Dataset updated
    Jan 29, 2025
    Area covered
    United States
    Description

    This layer presents the U.S. Census County (or County Equivalent) boundaries of the United States in the 50 states and the District of Columbia, sourced from 2023 Census TIGER/Line data and includes the estimated annual population total of each County.

    This layer is updated annually. The geography is sourced from U.S. Census Bureau 2023 TIGER FGDB (National Sub-State) and edited using TIGER Hydrography to add a detailed coastline for cartographic purposes. Attribute fields include 2023 estimated total population from the Esri demographics team.

    This ready-to-use layer can be used in ArcGIS Pro and in ArcGIS Online and its configurable apps, dashboards, StoryMaps, custom apps, and mobile apps. The data can also be exported for offline workflows. Cite the 'U.S. Census Bureau' when using this data.

  11. United States COVID-19 Community Levels by County as Originally Posted

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Mar 19, 2022
    + more versions
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    Centers for Disease Control and Prevention (2022). United States COVID-19 Community Levels by County as Originally Posted [Dataset]. https://catalog.data.gov/dataset/united-states-covid-19-community-levels-by-county-as-originally-posted-ebafa
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    Dataset updated
    Mar 19, 2022
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Area covered
    United States
    Description

    This public use dataset has 11 data elements reflecting COVID-19 community levels for all available counties. This dataset contains the same values used to display information available at https://www.cdc.gov/coronavirus/2019-ncov/science/community-levels-county-map.html. CDC looks at the combination of three metrics — new COVID-19 admissions per 100,000 population in the past 7 days, the percent of staffed inpatient beds occupied by COVID-19 patients, and total new COVID-19 cases per 100,000 population in the past 7 days — to determine the COVID-19 community level. The COVID-19 community level is determined by the higher of the new admissions and inpatient beds metrics, based on the current level of new cases per 100,000 population in the past 7 days. New COVID-19 admissions and the percent of staffed inpatient beds occupied represent the current potential for strain on the health system. Data on new cases acts as an early warning indicator of potential increases in health system strain in the event of a COVID-19 surge. Using these data, the COVID-19 community level is classified as low, medium , or high. COVID-19 Community Levels can help communities and individuals make decisions based on their local context and their unique needs. Community vaccination coverage and other local information, like early alerts from surveillance, such as through wastewater or the number of emergency department visits for COVID-19, when available, can also inform decision making for health officials and individuals. See https://www.cdc.gov/coronavirus/2019-ncov/science/community-levels.html for more information. Visit CDC’s COVID Data Tracker County View* to learn more about the individual metrics used for CDC’s COVID-19 community level in your county. Please note that county-level data are not available for territories. Go to https://covid.cdc.gov/covid-data-tracker/#county-view. For the most accurate and up-to-date data for any county or state, visit the relevant health department website. *COVID Data Tracker may display data that differ from state and local websites. This can be due to differences in how data were collected, how metrics were calculated, or the timing of web updates.

  12. Census of Population and Housing, 2000 [United States]: 1998 Dress...

    • icpsr.umich.edu
    ascii
    Updated Jan 12, 2006
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    United States. Bureau of the Census (2006). Census of Population and Housing, 2000 [United States]: 1998 Dress Rehearsal, P.L. 94-171 Redistricting Data, Geographic Files for 11 Counties in South Carolina, Sacramento, California, and Menominee County, Wisconsin [Dataset]. http://doi.org/10.3886/ICPSR02913.v1
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    asciiAvailable download formats
    Dataset updated
    Jan 12, 2006
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States. Bureau of the Census
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/2913/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/2913/terms

    Time period covered
    1998
    Area covered
    South Carolina, Wisconsin, California, Sacramento, South Carolina, United States
    Description

    The 1998 Dress Rehearsal was conducted as a prelude to the United States Census of Population and Housing, 2000, in the following locations: (1) Columbia, South Carolina, and surrounding areas, including the town of Irmo and the counties of Chester, Chesterfield, Darlington, Fairfield, Kershaw, Lancaster, Lee, Marlboro, Newberry, Richland, and Union, (2) Sacramento, California, and (3) Menominee County, Wisconsin, including the Menominee American Indian Reservation. This collection contains map files showing various levels of geography (in the form of Census Tract Outline Maps, Voting District/State Legislative District Outline Maps, and County Block Maps), TIGER/Line digital files, and Corner Point files for the Census 2000 Dress Rehearsal sites. The Corner Point data files contain the bounding latitude and longitude coordinates for each individual map sheet of the 1998 Dress Rehearsal Public Law (P.L.) 94-171 map products. These files include a sheet identifier, minimum and maximum longitude, minimum and maximum latitude, and the map scale (integer value) for each map sheet. The latitude and longitude coordinates are in decimal degrees and expressed as integer values with six implied decimal places. There is a separate Corner Point File for each of the three map types: County Block Map, Census Tract Outline Map, and Voting District/State Legislative District Outline Map. Each of the three map file types is provided in two formats: Portable Document Format (PDF), for viewing, and Hewlett-Packard Graphics Language (HP-GL) format, for plotting. The County Block Maps show the greatest detail and the most complete set of geographic information of all the maps. These large-scale maps depict the smallest geographic entities for which the Census Bureau presents data -- the census blocks -- by displaying the features that delineate them and the numbers that identify them. These maps show the boundaries, names, and codes for American Indian/Alaska Native areas, county subdivisions, places, census tracts, and, for this series, the geographic entities that the states delineated in Phase 2, Voting District Project, of the Redistricting Data Program. The HP-GL version of the County Block Maps is broken down into index maps and map sheets. The map sheets cover a small area, and the index maps are composed of multiple map sheets, showing the entire area. The intent of the County Block Map series is to provide a map for each county on the smallest possible number of map sheets at the maximum practical scale, dependent on the area size of the county and the density of the block pattern. The latter affects the display of block numbers and feature identifiers. The Census Tract Outline Maps show the boundaries and numbers of census tracts, and name the features underlying the boundaries. These maps also show the boundaries and names of counties, county subdivisions, and places. They identify census tracts in relation to governmental unit boundaries. The mapping unit is the county. These large-format maps are produced to support the P.L. 94-171 program and all other 1998 Dress Rehearsal data tabulations. The Voting District/State Legislative District Outline Maps show the boundaries and codes for voting districts as delineated by the states in Phase 2, Voting District Project, of the Redistricting Data Program. The features underlying the voting district boundaries are shown, as well as the names of these features. Additionally, for states that submit the information, these maps show the boundaries and codes for state legislative districts and their underlying features. These maps also show the boundaries of and names of American Indian/Alaska Native areas, counties, county subdivisions, and places. The scale of the district maps is optimized to keep the number of map sheets for each area to a minimum, but the scale and number of map sheets will vary by the area size of the county and the voting districts and state legislative districts delineated by the states. The Census 2000 Dress Rehearsal TIGER/Line Files consist of line segments representing physical features and governmental and statistical boundaries. The files contain information distributed over a series of record types for the spatial objects of a county. These TIGER/Line Files are an extract of selected geographic and cartographic information from the Census TIGER (Topological

  13. b

    Counties

    • geodata.bts.gov
    • datasets.ai
    • +4more
    Updated Jul 1, 1995
    + more versions
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    U.S. Department of Transportation: ArcGIS Online (1995). Counties [Dataset]. https://geodata.bts.gov/datasets/usdot::counties/about
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    Dataset updated
    Jul 1, 1995
    Dataset authored and provided by
    U.S. Department of Transportation: ArcGIS Online
    Area covered
    Pacific Ocean, North Pacific Ocean
    Description

    The Counties dataset was updated on October 31, 2023 from the United States Census Bureau (USCB) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The boundaries for counties and equivalent entities are mostly as of January 1, 2023, as reported through the Census Bureau's Boundary and Annexation Survey (BAS).

  14. v

    Historical United States County Boundaries, 1950

    • gis.lib.virginia.edu
    Updated Feb 26, 2016
    + more versions
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    Cao, Changyong; Earle, Carville; Heppen, John; Louisiana State University (Baton Rouge, La.). Department of Geography and Anthropology.; Otterstrom, Samuel (2016). Historical United States County Boundaries, 1950 [Dataset]. http://gis.lib.virginia.edu/catalog/stanford-gv602vx8727
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    Dataset updated
    Feb 26, 2016
    Dataset provided by
    Geoscience Publications
    Authors
    Cao, Changyong; Earle, Carville; Heppen, John; Louisiana State University (Baton Rouge, La.). Department of Geography and Anthropology.; Otterstrom, Samuel
    Time period covered
    1950
    Area covered
    Alabama, North Dakota, Massachusetts, Ohio, Oklahoma, Oregon, Wyoming, Illinois, Pennsylvania, United States
    Description

    This polygon shapefile contains county boundaries for the United States in 1950. Attributes include county and state names as well as FIPS identification numbers and county area estimates. Territories enumerated by the U.S. Census are also included. This layer is part of a collection of historical United States county boundary files (HUSCO), from each decade ranging from 1790-1999.This layer is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production.

  15. O

    Boundaries: State of Texas Counties

    • data.austintexas.gov
    • datahub.austintexas.gov
    • +1more
    Updated Mar 1, 2025
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    US Census (2025). Boundaries: State of Texas Counties [Dataset]. https://data.austintexas.gov/Locations-and-Maps/Boundaries-State-of-Texas-Counties/tnsq-nquk
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    csv, application/rssxml, application/geo+json, kmz, application/rdfxml, xml, tsv, kmlAvailable download formats
    Dataset updated
    Mar 1, 2025
    Dataset authored and provided by
    US Census
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    Texas
    Description

    Cartographic Boundary Map provided the State of Texas Open Data Portal here: https://data.texas.gov/dataset/Texas-Counties-Cartographic-Boundary-Map/sw7f-2kkd/about_data

    Terms of Use This product is for informational purposes and may not have been prepared for or be suitable for legal, engineering, or surveying purposes. It does not represent an on-the-ground survey and represents only the approximate relative location of property boundaries. This product has been provided by the City of Austin via the US Census Bureau for the sole purpose of geographic reference. No warranty is made by the City of Austin regarding specific accuracy or completeness.

  16. g

    DIGITAL FLOOD INSURANCE RATE MAP DATABASE, CLATSOP COUNTY, OR, USA

    • gimi9.com
    • cloud.csiss.gmu.edu
    • +3more
    + more versions
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    DIGITAL FLOOD INSURANCE RATE MAP DATABASE, CLATSOP COUNTY, OR, USA [Dataset]. https://gimi9.com/dataset/data-gov_digital-flood-insurance-rate-map-database-clatsop-county-or-usa
    Explore at:
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Clatsop County, United States
    Description

    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. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). In addition to the preceding, required text, the Abstract should also describe the projection and coordinate system as well as a general statement about horizontal accuracy.

  17. c

    Data from: US Counties

    • hub.wftiic.ca.gov
    • atlas.eia.gov
    • +13more
    Updated Jun 24, 2024
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    CA Governor's Office of Emergency Services (2024). US Counties [Dataset]. https://hub.wftiic.ca.gov/datasets/us-counties-3
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    Dataset updated
    Jun 24, 2024
    Dataset authored and provided by
    CA Governor's Office of Emergency Services
    Area covered
    Pacific Ocean, North Pacific Ocean, Bering Sea, Proliv Longa, South Pacific Ocean, Arctic Ocean, Proliv Longa
    Description

    Official NWS Advanced Weather Interactive Processing System (AWIPS) background US County designations.

    See: "http://www.nws.noaa.gov/geodata/index.html"

  18. d

    Census County-equivalent boundaries in the United States

    • search.dataone.org
    • hydroshare.org
    Updated Apr 15, 2022
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    US Census Bureau TIGER/Line (2022). Census County-equivalent boundaries in the United States [Dataset]. https://search.dataone.org/view/sha256%3A95d4006723e473bfbd0104a43bb8a40ddae13235147b27f1d85da9f2fbab5815
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    Dataset updated
    Apr 15, 2022
    Dataset provided by
    Hydroshare
    Authors
    US Census Bureau TIGER/Line
    Area covered
    Description

    This shapefile describes the Census 2010 published population estimates by US County-equivalent boundaries for the United States.

    The original Census 2010 County-equivalent shapefile with Selected Demographic and Economics Data was obtained from the US Census Bureau TIGER/Line data: http://www2.census.gov/geo/tiger/TIGER2010DP1/County_2010Census_DP1.zip

    Other TIGER/Line Selected Demographic and Economics Data shapefiles can be found at the US Census Bureau TIGER/Line web portal: https://www.census.gov/geo/maps-data/data/tiger-data.html

  19. "Climate stripes":Map of annual U.S. county temperature and precipitation...

    • noaa.hub.arcgis.com
    Updated Jun 20, 2019
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    NOAA GeoPlatform (2019). "Climate stripes":Map of annual U.S. county temperature and precipitation trends [Dataset]. https://noaa.hub.arcgis.com/maps/fc9b1a3f0681486bb6bdd27921fe0e3f
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    Dataset updated
    Jun 20, 2019
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    NOAA GeoPlatform
    Area covered
    Description

    Annual average temperature and precipitation accumulation departures from climatology are plotted, using visualizations inspired by Ed Hawkins' Warming Stripes page. A temperature chart depicts years that are warmer (reds) and cooler (blue) than normal. In a similar fashion, precipitation graphs show wetter (greens) and drier (browns) conditions for a given year. Data is from 1895-present, using a climatology of 1901-2000. Alaska and Hawaii are not available.Description of DataData originates from NOAA NCEI's climate at a glance page, which uses a 5 kilometer gridded data set, known as nClimgrid. This data set provides temperature and precipitation information for each month back to 1895. Annual estimates since 1895 are derived from the monthly data and aggregated onto each county for the Contiguous United States (Alaska and Hawaii are not available at this time). To depict the long term change in temperature and precipitation, annual data are then compared to a 20th century average (1901-2000). (Note that this is different from Ed Hawkins' original project, which uses a 1971-2000 baseline. These differences in baseline mean that the graphics may not perfectly match: the general warming trends will be consistent). These differences from the century average (known as a departure from normal, or anomaly) are then used to produce the visual. For more information on anomalies, please refer to this FAQ page.This map is a copy of Jared Rennie's original map, published at https://arcg.is/19i1r90Data is from NOAA NCEI's climate at a glance page. Thanks to Ed Hawkins and Zeke Hausfather for inspiration. Plots and maps made by Jared Rennie (@jjrennie) Certified Consulting Meteorologist, North Carolina Institute for Climate Studies, Asheville, NC.

  20. United States State Boundaries 2022

    • colorado-river-portal.usgs.gov
    Updated May 12, 2023
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    Esri (2023). United States State Boundaries 2022 [Dataset]. https://colorado-river-portal.usgs.gov/maps/3109946424394b9c91d7cb7677b2ecce
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    Dataset updated
    May 12, 2023
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    United States
    Description

    Important Note: This item is in mature support as of June 2024 and will retire in December 2026. A new version of this item is available for your use.This layer presents the USA 2020 Census State boundaries of the United States in the 50 states and the District of Columbia. The geography is sourced from US Census Bureau 2020 TIGER FGDB (National Sub-State) and edited using TIGER Hydrology to add a detailed coastline for cartographic purposes.Attribute fields include 2020 total population from the US Census PL94 data.The boundaries are sourced from US Census TIGER files. These were published in May 2023. A new layer will be published in 12-18 months. Other administrative boundaries for this country are also available: Country County ZIP Code Tract BlockGroup

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(2017). US County Boundaries [Dataset]. https://public.opendatasoft.com/explore/dataset/us-county-boundaries/

Data from: US County Boundaries

Related Article
Explore at:
3 scholarly articles cite this dataset (View in Google Scholar)
json, csv, excel, geojsonAvailable download formats
Dataset updated
Jun 27, 2017
License

https://en.wikipedia.org/wiki/Public_domainhttps://en.wikipedia.org/wiki/Public_domain

Area covered
United States
Description

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The boundaries for counties and equivalent entities are as of January 1, 2017, primarily as reported through the Census Bureau's Boundary and Annexation Survey (BAS).

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