100+ datasets found
  1. World Countries Generalized

    • hub.arcgis.com
    • covid19.esriuk.com
    • +2more
    Updated May 5, 2022
    + more versions
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    Esri (2022). World Countries Generalized [Dataset]. https://hub.arcgis.com/datasets/esri::world-countries-generalized/about
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    Dataset updated
    May 5, 2022
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    World,
    Description

    World Countries Generalized provides a generalized basemap layer for the countries of the world. It has fields for official names and country codes. The generalized boundaries improve draw performance and effectiveness at global and continental levels.This layer is best viewed out beyond a maximum scale (zoomed in) of 1:5,000,000.The sources of this dataset are Esri, Garmin, and U.S. Central Intelligence Agency (The World Factbook). It is updated every 12-18 months as country names or significant borders change.

  2. World Countries

    • hub.arcgis.com
    • cacgeoportal.com
    • +2more
    Updated May 5, 2022
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    Esri (2022). World Countries [Dataset]. https://hub.arcgis.com/datasets/esri::world-countries
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    Dataset updated
    May 5, 2022
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    World,
    Description

    World Countries provides a detailed basemap layer for the countries of the world. This layer has been designed to be used as a basemap and includes fields for official names and country codes, along with fields for continent and display. Particularly useful are the fields LAND_TYPE and LAND_RANK that separate polygons based on their size. These fields are helpful for rendering at different scales by providing the ability to turn off small islands that may clutter small-scale (zoomed out) views. The sources of this dataset are Esri, Garmin, U.S. Central Intelligence Agency (The World Factbook), and International Organization for Standardization (ISO). This layer was published in October 2024. It is updated every 12-18 months or as significant changes occur.

  3. a

    Zipped Shapefile - Countries of the World

    • resources-gisinschools-nz.hub.arcgis.com
    Updated Aug 1, 2016
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    GIS in Schools - Teaching Materials - New Zealand (2016). Zipped Shapefile - Countries of the World [Dataset]. https://resources-gisinschools-nz.hub.arcgis.com/datasets/522e21c788534171ae5a8b4cdf28377f
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    Dataset updated
    Aug 1, 2016
    Dataset authored and provided by
    GIS in Schools - Teaching Materials - New Zealand
    Area covered
    World
    Description

    World Countries (Generalized) represents generalized boundaries for the countries of the world, as they existed in January 2004.

  4. Natural Earth 1:110m Countries

    • kaggle.com
    zip
    Updated Mar 14, 2020
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    Anton Poznyakovskiy (2020). Natural Earth 1:110m Countries [Dataset]. https://www.kaggle.com/datasets/poznyakovskiy/natural-earth-1110m-countries
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    zip(197544 bytes)Available download formats
    Dataset updated
    Mar 14, 2020
    Authors
    Anton Poznyakovskiy
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This dataset contains geometry data for the countries of the world together with their names and country codes in various formats. The primary use case is choropleths, color-coded maps. The data can be read as a pandas DataFrame with geopandas and plotted with matplotlib. See the starter notebook for an example how to do it.

    The data was created by Natural Earth. It is in public domain and free to use for any purpose at the time of this writing; you might want to check their Terms of Use.

    Photo by KOBU Agency on Unsplash

  5. World shapefile

    • kaggle.com
    zip
    Updated Jul 24, 2023
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    Kamile Novaes (2023). World shapefile [Dataset]. https://www.kaggle.com/datasets/kamilenovaes/world-shapefile/code
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    zip(206143 bytes)Available download formats
    Dataset updated
    Jul 24, 2023
    Authors
    Kamile Novaes
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Area covered
    World
    Description

    This dataset contains a comprehensive collection of geographic shapefiles representing the boundaries of countries and territories worldwide. The shapefiles define the outlines of each nation and are based on the most recent and accurate geographical data available. The dataset includes polygon geometries that accurately represent the territorial extent of each country, making it suitable for various geographical analyses, visualizations, and spatial applications.

    Content: The dataset comprises shapefiles in the ESRI shapefile format (.shp) along with associated files (.shx, .dbf, etc.) that contain the attributes of each country, such as country names, ISO codes, and other relevant information. The polygons in the shapefiles correspond to the land boundaries of each nation, enabling precise mapping and spatial analysis.

    Use Cases: This dataset can be utilized in a wide range of applications, including but not limited to:

    • Creating choropleth maps to visualize and analyze various socio-economic indicators by country.
    • Conducting spatial analysis to study population distribution, territorial areas, and geographic trends.
    • Performing geopolitical research and country-level comparisons.
    • Integrating with other datasets to enrich geographic analyses and insights.

    Source: The shapefile data is sourced from reputable and authoritative geographic databases, ensuring its accuracy and reliability for diverse applications.

  6. d

    GIS Data | Global Geospatial data | Postal/Administrative boundaries |...

    • datarade.ai
    .json, .xml
    Updated Mar 4, 2025
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    GeoPostcodes (2025). GIS Data | Global Geospatial data | Postal/Administrative boundaries | Countries, Regions, Cities, Suburbs, and more [Dataset]. https://datarade.ai/data-products/geopostcodes-gis-data-gesopatial-data-postal-administrati-geopostcodes
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    .json, .xmlAvailable download formats
    Dataset updated
    Mar 4, 2025
    Dataset authored and provided by
    GeoPostcodes
    Area covered
    France, United States
    Description

    Overview

    Empower your location data visualizations with our edge-matched polygons, even in difficult geographies.

    Our self-hosted GIS data cover administrative and postal divisions with up to 6 precision levels: a zip code layer and up to 5 administrative levels. All levels follow a seamless hierarchical structure with no gaps or overlaps.

    The geospatial data shapes are offered in high-precision and visualization resolution and are easily customized on-premise.

    Use cases for the Global Boundaries Database (GIS data, Geospatial data)

    • In-depth spatial analysis

    • Clustering

    • Geofencing

    • Reverse Geocoding

    • Reporting and Business Intelligence (BI)

    Product Features

    • Coherence and precision at every level

    • Edge-matched polygons

    • High-precision shapes for spatial analysis

    • Fast-loading polygons for reporting and BI

    • Multi-language support

    For additional insights, you can combine the GIS data with:

    • Population data: Historical and future trends

    • UNLOCODE and IATA codes

    • Time zones and Daylight Saving Time (DST)

    Data export methodology

    Our geospatial data packages are offered in variable formats, including - .shp - .gpkg - .kml - .shp - .gpkg - .kml - .geojson

    All GIS data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

    Why companies choose our map data

    • Precision at every level

    • Coverage of difficult geographies

    • No gaps, nor overlaps

    Note: Custom geospatial data packages are available. Please submit a request via the above contact button for more details.

  7. TIGER/Line Shapefile, 2022, County, Simpson County, MS, Topological Faces...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Jan 28, 2024
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Point of Contact) (2024). TIGER/Line Shapefile, 2022, County, Simpson County, MS, Topological Faces (Polygons With All Geocodes) [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2022-county-simpson-county-ms-topological-faces-polygons-with-all-geocodes
    Explore at:
    Dataset updated
    Jan 28, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Simpson County, Mississippi
    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. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces Shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2020 Census and the annual estimates and surveys. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces Shapefile.

  8. K

    Flickr Shapefiles Public Dataset 2.0 Countries

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Aug 16, 2013
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    Sam Giffney (2013). Flickr Shapefiles Public Dataset 2.0 Countries [Dataset]. https://koordinates.com/layer/6335-flickr-shapefiles-public-dataset-20-countries/
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    pdf, shapefile, mapinfo tab, mapinfo mif, csv, geodatabase, dwg, kml, geopackage / sqliteAvailable download formats
    Dataset updated
    Aug 16, 2013
    Authors
    Sam Giffney
    Area covered
    Description

    http://code.flickr.net/2011/01/08/flickr-shapefiles-public-dataset-2-0/

    The "countries" file.

    Converted to shp file using ogr2ogr. Loaded into postgis using shp2pgsql. Invalid geometries fixed using UPDATE flickr_countries SET geom = ST_Multi(ST_Buffer(geom, 0)); Dumped back to shp file using pgsql2shp for upload to Koordinates

  9. TIGER/Line Shapefile, Current, State, Tennessee, County Subdivision

    • 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, State, Tennessee, County Subdivision [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-current-state-tennessee-county-subdivision
    Explore at:
    Dataset updated
    Aug 8, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    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. County subdivisions are the primary divisions of counties and 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 is not 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 boundaries of most legal MCDs are as of January 1, 2024, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CCDs are those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

  10. TIGER/Line Shapefile, 2023, County, Kitsap County, WA, Area Hydrography

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Aug 11, 2025
    + more versions
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch (Point of Contact) (2025). TIGER/Line Shapefile, 2023, County, Kitsap County, WA, Area Hydrography [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2023-county-kitsap-county-wa-area-hydrography
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    Dataset updated
    Aug 11, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Washington, Kitsap 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 filewith no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent dataset, or they can be combined to cover the entire nation. The Area Hydrography Shapefile contains the geometry and attributes of both perennial and intermittent area hydrography features, including ponds, lakes, oceans, swamps (up to the U.S. nautical three-mile limit), glaciers, and the area covered by large rivers, streams, and/or canals that are represented as double-line drainage. Single-line drainage water features can be found in the Linear Hydrography Shapefile (LINEARWATER.shp). Linear water features includes single-line drainage water features and artificial path features, where they exist, that run through double-line drainage features such as rivers, streams, and/or canals, and serve as a linear representation of these features.

  11. d

    TIGER/Line Shapefile, 2016, nation, U.S., Current County and Equivalent...

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Jan 13, 2021
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    (2021). TIGER/Line Shapefile, 2016, nation, U.S., Current County and Equivalent National Shapefile [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2016-nation-u-s-current-county-and-equivalent-national-shapefile
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    Dataset updated
    Jan 13, 2021
    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, 2015, primarily as reported through the Census Bureau's Boundary and Annexation Survey (BAS).

  12. a

    County Districts Shapefile

    • data-ecgis.opendata.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Aug 8, 2018
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    Eaton County Michigan (2018). County Districts Shapefile [Dataset]. https://data-ecgis.opendata.arcgis.com/datasets/d9a1eead5f294908901ba7e43f8d5126
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    Dataset updated
    Aug 8, 2018
    Dataset authored and provided by
    Eaton County Michigan
    Description

    County districts in Eaton County, Michigan, USA.

  13. a

    County Shapefile

    • data-ecgis.opendata.arcgis.com
    • hub.arcgis.com
    Updated Aug 9, 2018
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    Eaton County Michigan (2018). County Shapefile [Dataset]. https://data-ecgis.opendata.arcgis.com/datasets/444c7933651845438204be5a6f163547
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    Dataset updated
    Aug 9, 2018
    Dataset authored and provided by
    Eaton County Michigan
    Description

    This Michigan Counties shapefile is a reprojected and slightly altered version of State of Michigan CGI's "Counties (v17a)" dataset.

  14. a

    Africa Countries

    • hub.arcgis.com
    • africageoportal.com
    • +4more
    Updated Nov 21, 2018
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    Africa GeoPortal (2018). Africa Countries [Dataset]. https://hub.arcgis.com/datasets/africa::africa-countries/about
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    Dataset updated
    Nov 21, 2018
    Dataset authored and provided by
    Africa GeoPortal
    Area covered
    Description

    This layer shows the countries of Africa. You can click on the map to get info on each country, including its name and flag, as well as links to detailed information in The World Factbook and UN Human Development Reports.The Africa Countries layer was created by joining country population data from The World Factbook to the World Countries (Generalized) layer, using ArcGIS Online analysis tools. The popup for the map uses Arcade expressions to reference other online resources based on the country code for the selected country.The Flags of countries are provided by reference to Flagpedia, which provides flags of countries of the world and the U.S. states for display and download.

  15. TIGER/Line Shapefile, 2021, State, California, County Subdivisions

    • catalog.data.gov
    • gimi9.com
    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, State, California, County Subdivisions [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2021-state-california-county-subdivisions
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    Dataset updated
    Nov 1, 2022
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    California
    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. 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. For the 2010 Census, the MCDs are the primary governmental and/or administrative divisions of counties in 29 States and Puerto Rico; Tennessee changed from having CCDs for Census 2000 to having MCDs for the 2010 Census. In MCD States where no MCD exists or is not 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 boundaries of most legal MCDs are as of January 1, 2021, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The 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.

  16. TIGER/Line Shapefile, 2023, County, Harris County, TX, Topological Faces...

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Aug 10, 2025
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch (Point of Contact) (2025). TIGER/Line Shapefile, 2023, County, Harris County, TX, Topological Faces (Polygons With All Geocodes) [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2023-county-harris-county-tx-topological-faces-polygons-with-all-geocodes
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    Dataset updated
    Aug 10, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Harris County, Texas
    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. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces Shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2020 Census and the annual estimates and surveys. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces Shapefile.

  17. TIGER/Line Shapefile, 2022, County, San Francisco County, CA, All Lines

    • catalog.data.gov
    Updated Jan 28, 2024
    + more versions
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Point of Contact) (2024). TIGER/Line Shapefile, 2022, County, San Francisco County, CA, All Lines [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2022-county-san-francisco-county-ca-all-lines
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    Dataset updated
    Jan 28, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    San Francisco, California
    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. Edge refers to the linear topological primitives that make up MTDB. The All Lines Shapefile contains linear features such as roads, railroads, and hydrography. Additional attribute data associated with the linear features found in the All Lines Shapefile are available in relationship (.dbf) files that users must download separately. The All Lines Shapefile contains the geometry and attributes of each topological primitive edge. Each edge has a unique TIGER/Line identifier (TLID) value.

  18. TIGER/Line Shapefile, 2023, County, Sarasota County, FL, Topological Faces...

    • catalog.data.gov
    Updated Aug 10, 2025
    + more versions
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch (Point of Contact) (2025). TIGER/Line Shapefile, 2023, County, Sarasota County, FL, Topological Faces (Polygons With All Geocodes) [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2023-county-sarasota-county-fl-topological-faces-polygons-with-all-geocode
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    Dataset updated
    Aug 10, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Florida, Sarasota 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. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces Shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2020 Census and the annual estimates and surveys. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces Shapefile.

  19. TIGER/Line Shapefile, 2023, County, Davis County, UT, Area Hydrography

    • catalog.data.gov
    Updated Aug 10, 2025
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch (Point of Contact) (2025). TIGER/Line Shapefile, 2023, County, Davis County, UT, Area Hydrography [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2023-county-davis-county-ut-area-hydrography
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    Dataset updated
    Aug 10, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Davis 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 filewith no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent dataset, or they can be combined to cover the entire nation. The Area Hydrography Shapefile contains the geometry and attributes of both perennial and intermittent area hydrography features, including ponds, lakes, oceans, swamps (up to the U.S. nautical three-mile limit), glaciers, and the area covered by large rivers, streams, and/or canals that are represented as double-line drainage. Single-line drainage water features can be found in the Linear Hydrography Shapefile (LINEARWATER.shp). Linear water features includes single-line drainage water features and artificial path features, where they exist, that run through double-line drainage features such as rivers, streams, and/or canals, and serve as a linear representation of these features.

  20. TIGER/Line Shapefile, 2023, County, Wayne County, MI, Topological Faces...

    • catalog.data.gov
    • datasets.ai
    Updated Aug 11, 2025
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch (Point of Contact) (2025). TIGER/Line Shapefile, 2023, County, Wayne County, MI, Topological Faces (Polygons With All Geocodes) [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2023-county-wayne-county-mi-topological-faces-polygons-with-all-geocodes
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    Dataset updated
    Aug 11, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Wayne 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. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces Shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2020 Census and the annual estimates and surveys. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces Shapefile.

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Esri (2022). World Countries Generalized [Dataset]. https://hub.arcgis.com/datasets/esri::world-countries-generalized/about
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World Countries Generalized

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24 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
May 5, 2022
Dataset authored and provided by
Esrihttp://esri.com/
Area covered
World,
Description

World Countries Generalized provides a generalized basemap layer for the countries of the world. It has fields for official names and country codes. The generalized boundaries improve draw performance and effectiveness at global and continental levels.This layer is best viewed out beyond a maximum scale (zoomed in) of 1:5,000,000.The sources of this dataset are Esri, Garmin, and U.S. Central Intelligence Agency (The World Factbook). It is updated every 12-18 months as country names or significant borders change.

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