100+ datasets found
  1. USA State Shapefiles

    • kaggle.com
    zip
    Updated Nov 22, 2025
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    Nick Switzer (2025). USA State Shapefiles [Dataset]. https://www.kaggle.com/datasets/nswitzer/usa-state-shapeflies
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    zip(3299828 bytes)Available download formats
    Dataset updated
    Nov 22, 2025
    Authors
    Nick Switzer
    Area covered
    United States
    Description

    Shapefiles for mapping and understanding overlaps

    sf package in R. geopandas in Python.

    https://www.census.gov/geographies/mapping-files/time-series/geo/carto-boundary-file.html

  2. 2022 Cartographic Boundary File (SHP), United States, 1:20,000,000

    • catalog.data.gov
    • gimi9.com
    • +1more
    Updated Dec 14, 2023
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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), United States, 1:20,000,000 [Dataset]. https://catalog.data.gov/dataset/2022-cartographic-boundary-file-shp-united-states-1-20000000
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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. This file depicts the shape of the United States clipped back to a generalized coastline. This nation layer covers the extent of the fifty states, the District of Columbia, Puerto Rico, and each of the Island Areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands) when scale appropriate.

  3. TIGER/Line Shapefile, Current, Nation, U.S., State and Equivalent Entities

    • catalog.data.gov
    Updated Aug 8, 2025
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division (Point of Contact) (2025). TIGER/Line Shapefile, Current, Nation, U.S., State and Equivalent Entities [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-current-nation-u-s-state-and-equivalent-entities
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    Dataset updated
    Aug 8, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    United States
    Description

    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) System (MTS). The MTS 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. States and equivalent entities are the primary governmental divisions of the United States. In addition to the fifty states, the Census Bureau treats the District of Columbia, Puerto Rico, and each of the Island Areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands) as the statistical equivalents of states for the purpose of data presentation.

  4. US State Boundaries

    • hub.arcgis.com
    • open-data-pittsylvania.hub.arcgis.com
    Updated Apr 28, 2017
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    Esri Training Services (2017). US State Boundaries [Dataset]. https://hub.arcgis.com/datasets/TrainingServices::us-state-boundaries/data
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    Dataset updated
    Apr 28, 2017
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Training Services
    Area covered
    United States,
    Description

    This map layer portrays the State boundaries of the United States, Puerto Rico, and the U.S. Virgin Islands. The map layer was created by extracting county polygon features from the CENSUS 2006 TIGER/Line files produced by the U.S. Census Bureau. These files were then merged into a single file and county boundaries within States were removed. This is a revised version of the July 2012 map layer.The data and related materials are made available through Esri (http://www.esri.com) and are intended for educational purposes only (see Access and Use Constraints section).

  5. d

    2019 Cartographic Boundary Shapefile, Region for United States, 1:5,000,000

    • catalog.data.gov
    Updated Jan 15, 2021
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    (2021). 2019 Cartographic Boundary Shapefile, Region for United States, 1:5,000,000 [Dataset]. https://catalog.data.gov/dataset/2019-cartographic-boundary-shapefile-region-for-united-states-1-5000000
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    Dataset updated
    Jan 15, 2021
    Area covered
    United States
    Description

    The 2019 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. Regions are four groupings of states (Northeast, South, Midwest, and West) established by the Census Bureau in 1942 for the presentation of census data.

  6. d

    Series Information for the 2019 Region for United States Shapefile

    • catalog.data.gov
    • s.cnmilf.com
    Updated Jan 15, 2021
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    (2021). Series Information for the 2019 Region for United States Shapefile [Dataset]. https://catalog.data.gov/dataset/series-information-for-the-2019-region-for-united-states-shapefile
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    Dataset updated
    Jan 15, 2021
    Area covered
    United States
    Description

    The 2019 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. Regions are four groupings of states (Northeast, South, Midwest, and West) established by the Census Bureau in 1942 for the presentation of census data. Regions are availiable at the 1:5,000,000, 1:2,0000,000 and 1:500,000 scales

  7. US States - Cartographic Boundary Shapefiles

    • kaggle.com
    zip
    Updated Sep 10, 2017
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    Bukun (2017). US States - Cartographic Boundary Shapefiles [Dataset]. https://www.kaggle.com/ambarish/us-states-cartographic-boundary-shapefiles
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    zip(5638404 bytes)Available download formats
    Dataset updated
    Sep 10, 2017
    Authors
    Bukun
    Area covered
    United States
    Description

    Context

    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.

    Generalized boundary files are clipped to a simplified version of the U.S. outline. As a result, some off-shore areas may be excluded from the generalized files.

    Till Now, we have added

    • US State Level ShapeFile
    • Texas County Level Shape File

    Content

    File Naming Convention:

    cb_2016_us_state_rr.zip, where rr is the resolution level:

    500k = 1:500,000

    The US State Level ShapeFile is cb_2016_us_state_500k.shp

    The Texas Counties ShapeFile added is cb_2016_48_cousub_500k.shp

    Acknowledgements

    This file is obtained from United States Census Bureau Cartographic Boundary Shapefiles - States

    Inspiration

    Please use this ShapeFile to develop beautiful Choropleths

  8. U.S. Census Blocks

    • hub.arcgis.com
    • colorado-river-portal.usgs.gov
    • +4more
    Updated Jun 30, 2021
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    Esri U.S. Federal Datasets (2021). U.S. Census Blocks [Dataset]. https://hub.arcgis.com/datasets/d795eaa6ee7a40bdb2efeb2d001bf823
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    Dataset updated
    Jun 30, 2021
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri U.S. Federal Datasets
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    U.S. Census BlocksThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Census Bureau (USCB), displays Census Blocks in the United States. A brief description of Census Blocks, per USCB, is that "Census blocks are statistical areas bounded by visible features such as roads, streams, and railroad tracks, and by nonvisible boundaries such as property lines, city, township, school district, county limits and short line-of-sight extensions of roads." Also, "the smallest level of geography you can get basic demographic data for, such as total population by age, sex, and race."Census Block 1007Data currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (Census Blocks) and will support mapping, analysis, data exports and OGC API – Feature access.NGDAID: 69 (Series Information for 2020 Census Block State-based TIGER/Line Shapefiles, Current)OGC API Features Link: (U.S. Census Blocks - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: What are census blocksFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Governmental Units, and Administrative and Statistical Boundaries Theme Community. Per the Federal Geospatial Data Committee (FGDC), this theme is defined as the "boundaries that delineate geographic areas for uses such as governance and the general provision of services (e.g., states, American Indian reservations, counties, cities, towns, etc.), administration and/or for a specific purpose (e.g., congressional districts, school districts, fire districts, Alaska Native Regional Corporations, etc.), and/or provision of statistical data (census tracts, census blocks, metropolitan and micropolitan statistical areas, etc.). Boundaries for these various types of geographic areas are either defined through a documented legal description or through criteria and guidelines. Other boundaries may include international limits, those of federal land ownership, the extent of administrative regions for various federal agencies, as well as the jurisdictional offshore limits of U.S. sovereignty. Boundaries associated solely with natural resources and/or cultural entities are excluded from this theme and are included in the appropriate subject themes."For other NGDA Content: Esri Federal Datasets

  9. d

    2019 Cartographic Boundary Shapefile, 2010 ZIP Code Tabulation Areas for...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Nov 12, 2020
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    (2020). 2019 Cartographic Boundary Shapefile, 2010 ZIP Code Tabulation Areas for United States, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2019-cartographic-boundary-shapefile-2010-zip-code-tabulation-areas-for-united-states-1-500000
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    Dataset updated
    Nov 12, 2020
    Area covered
    United States
    Description

    The 2019 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. ZIP Code Tabulation Areas (ZCTAs) are approximate area representations of U.S. Postal Service (USPS) ZIP Code service areas that the Census Bureau creates to present statistical data for each decennial census. The Census Bureau delineates ZCTA boundaries for the United States, Puerto Rico, American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands once each decade following the decennial census. Data users should not use ZCTAs to identify the official USPS ZIP Code for mail delivery. The USPS makes periodic changes to ZIP Codes to support more efficient mail delivery. The Census Bureau uses tabulation blocks as the basis for defining each ZCTA. Tabulation blocks are assigned to a ZCTA based on the most frequently occurring ZIP Code for the addresses contained within that block. The most frequently occurring ZIP Code also becomes the five-digit numeric code of the ZCTA. These codes may contain leading zeros. Blocks that do not contain addresses but are surrounded by a single ZCTA (enclaves) are assigned to the surrounding ZCTA. Because the Census Bureau only uses the most frequently occurring ZIP Code to assign blocks, a ZCTA may not exist for every USPS ZIP Code. Some ZIP Codes may not have a matching ZCTA because too few addresses were associated with the specific ZIP Code or the ZIP Code was not the most frequently occurring ZIP Code within any of the blocks where it exists. The generalized ZCTA boundaries in this file are based on those delineated following the 2010 Census.

  10. H

    United States Aquifer Database

    • hydroshare.org
    • beta.hydroshare.org
    • +1more
    zip
    Updated Apr 19, 2022
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    Merhawi GebreEgziabher; Scott Jasechko; Debra Perrone (2022). United States Aquifer Database [Dataset]. https://www.hydroshare.org/resource/d2260651b51044d0b5cb2d293d21af08
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    zip(3.7 MB)Available download formats
    Dataset updated
    Apr 19, 2022
    Dataset provided by
    HydroShare
    Authors
    Merhawi GebreEgziabher; Scott Jasechko; Debra Perrone
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Here we present a geospatial dataset representing local- and regional-scale aquifer system boundaries, defined on the basis of an extensive literature review and published in GebreEgziabher et al. (2022). Nature Communications, 13, 2129, https://www.nature.com/articles/s41467-022-29678-7

    The database contains 440 polygons, each representing one study area analyzed in GebreEgziabher et al. (2022). The attribute table associated with the shapefile has two fields (column headings): (1) aquifer system title (Ocala Uplift sub-area of the broader Floridan Aquifer System), and (2) broader aquifer system title (e.g., the Floridan Aquifer System).

  11. U

    Geology shapefiles for the United States and Australia

    • data.usgs.gov
    • catalog.data.gov
    Updated Mar 31, 2025
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    Anne McCafferty; Carma San; Christopher Lawley; Garth Graham; Michael Gadd; David Huston; Karen Kelley; Suzanne Paradis; Jan Peter; Karol Czarnota (2025). Geology shapefiles for the United States and Australia [Dataset]. http://doi.org/10.5066/P970GDD5
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    Dataset updated
    Mar 31, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Anne McCafferty; Carma San; Christopher Lawley; Garth Graham; Michael Gadd; David Huston; Karen Kelley; Suzanne Paradis; Jan Peter; Karol Czarnota
    License

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

    Time period covered
    2022
    Area covered
    Australia, United States
    Description

    These data present geologic map units for the United States (Horton and others, 2017; Wilson and others, 2015) and Australia (Raymond and others, 2012) reclassified to 31 generalized sub-type lithologic groups of igneous, metamorphic, and sedimentary rocks (Lawley and others, 2022). These generalized classifications are based on interpretation of map unit descriptions in the different map compilations. Given that map unit descriptions often contain multiple rock types, there were subjective calls necessary when assigning generalized lithologic classification. The data were developed as part of the tri-national Critical Minerals Mapping Initiative (Kelley, 2020) between the United States, Canada, and Australia, an effort to model and map prospectivity for basin-hosted Pb-Zn mineralization. A national-scale geologic map compilation for Canada is not publicly available. Therefore, Lawley and others (2021) compiled geologic source maps to produce a gridded model layer that is provided ...

  12. C

    Shapefile for Coastal Zone Management Program counties of the United States...

    • data.cnra.ca.gov
    • data.usgs.gov
    • +4more
    Updated May 8, 2019
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    Ocean Data Partners (2019). Shapefile for Coastal Zone Management Program counties of the United States and its territories, 2009 (CZMP_counties_2009.shp) [Dataset]. https://data.cnra.ca.gov/dataset/shapefile-for-coastal-zone-management-program-counties-of-the-united-states-and-its-territories
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    Dataset updated
    May 8, 2019
    Dataset authored and provided by
    Ocean Data Partners
    Area covered
    United States
    Description

    Shapefile for 492 Coastal Zone Management Program (CZMP) counties and county equivalents, 2009, extracted from the U.S. Census Bureau's MAF/TIGER database of U.S. counties and cross-referenced to a list of CZMP counties published by the NOAA/NOS Office of Ocean and Coastal Resource Management (OCRM). Data extent to the nearest quarter degree is 141.00 E to 64.50 W longitude and 14.75 S to 71.50 N latitude. TL2009 in this document refers to metadata content inherited from the original U.S. Census Bureau (2009) TIGER/Line shapefile. TL2009: The TIGER/Line Shapefiles are an extract of selected geographic and cartographic information from the Census MAF/TIGER database. The Census MAF/TIGER database 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 dataset or the shapefiles can be combined to cover the whole nation.

  13. 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 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).

  14. TIGER/Line Shapefile, 2021, State, Delaware, 2020 Census Blocks

    • datasets.ai
    • catalog.data.gov
    23, 55, 57
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    U.S. Census Bureau, Department of Commerce, TIGER/Line Shapefile, 2021, State, Delaware, 2020 Census Blocks [Dataset]. https://datasets.ai/datasets/tiger-line-shapefile-2021-state-delaware-2020-census-blocks
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    23, 57, 55Available download formats
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    U.S. Census Bureau, Department of Commerce
    Area covered
    Delaware
    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.

    Census Blocks are statistical areas bounded on all sides by visible features, such as streets, roads, streams, and railroad tracks, and/or by nonvisible boundaries such as city, town, township, and county limits, and short line-of-sight extensions of streets and roads. Census blocks are relatively small in area; for example, a block in a city bounded by streets. However, census blocks in remote areas are often large and irregular and may even be many square miles in area. A common misunderstanding is that data users think census blocks are used geographically to build all other census geographic areas, rather all other census geographic areas are updated and then used as the primary constraints, along with roads and water features, to delineate the tabulation blocks. As a result, all 2020 Census blocks nest within every other 2020 Census geographic area, so that Census Bureau statistical data can be tabulated at the block level and aggregated up to the appropriate geographic areas. Census blocks cover all territory in the United States, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands). Blocks are the smallest geographic areas for which the Census Bureau publishes data from the decennial census. A block may consist of one or more faces.

  15. K

    US Major Cities

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Aug 30, 2018
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    US Department of Agriculture (USDA) (2018). US Major Cities [Dataset]. https://koordinates.com/layer/11897-us-major-cities/
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    csv, mapinfo tab, geodatabase, pdf, geopackage / sqlite, mapinfo mif, kml, shapefile, dwgAvailable download formats
    Dataset updated
    Aug 30, 2018
    Dataset authored and provided by
    US Department of Agriculture (USDA)
    Area covered
    Description

    This layer is a component of 2007_NAIP_COVERAGE_3.mxd.

  16. TIGER/Line Shapefile, 2021, State, United States Virgin Islands, Block...

    • datasets.ai
    • gimi9.com
    • +1more
    23, 55, 57
    Updated Nov 1, 2022
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    U.S. Census Bureau, Department of Commerce (2022). TIGER/Line Shapefile, 2021, State, United States Virgin Islands, Block Groups [Dataset]. https://datasets.ai/datasets/tiger-line-shapefile-2021-state-united-states-virgin-islands-block-groups
    Explore at:
    55, 23, 57Available download formats
    Dataset updated
    Nov 1, 2022
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    U.S. Census Bureau, Department of Commerce
    Area covered
    U.S. Virgin Islands
    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.

    Block Groups (BGs) are clusters of blocks within the same census tract. Each census tract contains at least one BG, and BGs are uniquely numbered within census tracts. BGs have a valid code range of 0 through 9. BGs have the same first digit of their 4-digit census block number from the same decennial census. For example, tabulation blocks numbered 3001, 3002, 3003,.., 3999 within census tract 1210.02 are also within BG 3 within that census tract. BGs coded 0 are intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and Great Lakes water areas. Block groups generally contain between 600 and 3,000 people. A BG usually covers a contiguous area but never crosses county or census tract boundaries. They may, however, cross the boundaries of other geographic entities like county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas.

    The BG boundaries in this release are those that were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

  17. TIGER/Line Shapefile, 2020, Nation, U.S., Metropolitan Divisions

    • 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, 2020, Nation, U.S., Metropolitan Divisions [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2020-nation-u-s-metropolitan-divisions
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    Dataset updated
    Nov 1, 2022
    Dataset provided by
    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. Metropolitan Divisions subdivide a Metropolitan Statistical Area containing a single core urban area that has a population of at least 2.5 million to form smaller groupings of counties or equivalent entities. Not all Metropolitan Statistical Areas with urban areas of this size will contain Metropolitan Divisions. Metropolitan Division are defined by the Office of Management and Budget (OMB) and consist of one or more main counties or equivalent entities that represent an employment center or centers, plus adjacent counties associated with the main county or counties through commuting ties. Because Metropolitan Divisions represent subdivisions of larger Metropolitan Statistical Areas, it is not appropriate to rank or compare Metropolitan Divisions with Metropolitan and Micropolitan Statistical Areas. The Metropolitan Divisions boundaries are those defined by OMB based on the 2010 Census, published in 2013, and updated in 2017.

  18. TIGER/Line Shapefile, 2016, Series Information for the 2010 Census Public...

    • datasets.ai
    • catalog.data.gov
    0, 21, 23, 52, 55
    Updated Jan 15, 2021
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    U.S. Census Bureau, Department of Commerce (2021). TIGER/Line Shapefile, 2016, Series Information for the 2010 Census Public Use Microdata Area (PUMA) State-based Shapefile [Dataset]. https://datasets.ai/datasets/tiger-line-shapefile-2016-series-information-for-the-2010-census-public-use-microdata-area-puma
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    23, 52, 55, 0, 21Available download formats
    Dataset updated
    Jan 15, 2021
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    U.S. Census Bureau, Department of Commerce
    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.

    After each decennial census, the Census Bureau delineates Public Use Microdata Areas (PUMAs) for the tabulation and dissemination of decennial census Public Use Microdata Sample (PUMS) data, American Community Survey (ACS) PUMS data, and ACS period estimates. Nesting within states, or equivalent entities, PUMAs cover the entirety of the United States, Puerto Rico, Guam, and the U.S. Virgin Islands. PUMA delineations are subject to population, building block geography, geographic nesting, and contiguity criteria. Each PUMA is identified by a 5-character numeric census code that may contain leading zeros and a descriptive name.

  19. TIGER/Line Shapefile, 2021, County, Hughes County, OK, All Roads

    • datasets.ai
    • catalog.data.gov
    23, 55, 57
    Updated Nov 1, 2022
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    U.S. Census Bureau, Department of Commerce (2022). TIGER/Line Shapefile, 2021, County, Hughes County, OK, All Roads [Dataset]. https://datasets.ai/datasets/tiger-line-shapefile-2021-county-hughes-county-ok-all-roads
    Explore at:
    23, 57, 55Available download formats
    Dataset updated
    Nov 1, 2022
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    U.S. Census Bureau, Department of Commerce
    Area covered
    Oklahoma, Hughes County
    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 All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, stairways, and winter trails.

  20. 2023 Cartographic Boundary File (SHP), County and Equivalent for United...

    • catalog.data.gov
    • s.cnmilf.com
    Updated May 16, 2024
    + more versions
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division (Point of Contact) (2024). 2023 Cartographic Boundary File (SHP), County and Equivalent for United States, 1:5,000,000 [Dataset]. https://catalog.data.gov/dataset/2023-cartographic-boundary-file-shp-county-and-equivalent-for-united-states-1-5000000
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    Dataset updated
    May 16, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    United States
    Description

    The 2023 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. 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 generalized boundaries for counties and equivalent entities are based on those as of January 1, 2023, primarily as reported through the Census Bureau's Boundary and Annexation Survey (BAS).

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Nick Switzer (2025). USA State Shapefiles [Dataset]. https://www.kaggle.com/datasets/nswitzer/usa-state-shapeflies
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USA State Shapefiles

Shapefiles for 50 United States

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zip(3299828 bytes)Available download formats
Dataset updated
Nov 22, 2025
Authors
Nick Switzer
Area covered
United States
Description

Shapefiles for mapping and understanding overlaps

sf package in R. geopandas in Python.

https://www.census.gov/geographies/mapping-files/time-series/geo/carto-boundary-file.html

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