100+ datasets found
  1. 2022 Cartographic Boundary File (SHP), United States, 1:20,000,000

    • catalog.data.gov
    • gimi9.com
    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.

  2. a

    Building Footprint Shapefile

    • hub.arcgis.com
    • home-ecgis.hub.arcgis.com
    • +1more
    Updated Aug 8, 2018
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    Eaton County Michigan (2018). Building Footprint Shapefile [Dataset]. https://hub.arcgis.com/datasets/a7b63084c2a64d84a628ba53e467dc3c
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    Dataset updated
    Aug 8, 2018
    Dataset authored and provided by
    Eaton County Michigan
    Description

    Building footprint polygons are updated weekly by ECGIS. They provide a general reference of where buildings in Eaton County are located. These are not survey-grade.

  3. Shape files for Chicago

    • kaggle.com
    Updated Sep 2, 2022
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    jwilda (2022). Shape files for Chicago [Dataset]. https://www.kaggle.com/datasets/jwilda3/shape-files-for-chicago
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 2, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    jwilda
    Area covered
    Chicago
    Description

    contains for shapefiles sources from the city of chicago website.

    Boundary file Downloaded from: https://data.cityofchicago.org/Facilities-Geographic-Boundaries/Boundaries-City/ewy2-6yfk

    Street centerline file downloaded from: https://data.cityofchicago.org/Transportation/Street-Center-Lines/6imu-meau

  4. o

    Oakland City Council Districts - Shape Files - shp

    • data.openoakland.org
    zip
    Updated Apr 6, 2016
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    (2016). Oakland City Council Districts - Shape Files - shp [Dataset]. http://data.openoakland.org/dataset/oakland-city-council-districts-shape-files-shp
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    zipAvailable download formats
    Dataset updated
    Apr 6, 2016
    Description

    The attached zip file contains the shapefile for Oakland's city council districts. You need all the files included in the zip file to open the .shp file, so please download the whole zip archive.

  5. H

    Test Shapefiles for GeoServer

    • hydroshare.org
    • beta.hydroshare.org
    • +2more
    zip
    Updated Feb 27, 2024
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    Dan Ames; Roja Najafi (2024). Test Shapefiles for GeoServer [Dataset]. https://www.hydroshare.org/resource/8f221ac2b03d4a5d8e60a01e66e776b0
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    zip(7.8 MB)Available download formats
    Dataset updated
    Feb 27, 2024
    Dataset provided by
    HydroShare
    Authors
    Dan Ames; Roja Najafi
    License

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

    Time period covered
    Nov 1, 2023
    Area covered
    Description

    This is a test of some vector (Shapefile) data. The files uploaded here are going to be used for testing of the GeoServer endpoints. This is a test.

  6. TIGER/Line Shapefile, Current, State, Pennsylvania, Place

    • catalog.data.gov
    Updated Dec 15, 2023
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch (Point of Contact) (2023). TIGER/Line Shapefile, Current, State, Pennsylvania, Place [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-current-state-pennsylvania-place
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    Dataset updated
    Dec 15, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Pennsylvania
    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) 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 TIGER/Line shapefiles include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. The boundaries of most incorporated places in this shapefile are as of January 1, 2023, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census, but some CDPs were added or updated through the 2023 BAS as well.

  7. a

    Waterbodies Shapefile

    • hub.arcgis.com
    • home-ecgis.hub.arcgis.com
    • +1more
    Updated Aug 9, 2018
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    Eaton County Michigan (2018). Waterbodies Shapefile [Dataset]. https://hub.arcgis.com/datasets/6988458111b7493c9e34501b41a78286
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    Dataset updated
    Aug 9, 2018
    Dataset authored and provided by
    Eaton County Michigan
    Description

    Waterbody features in Eaton County, Michigan, USA. The waterbody features in this shapefile were produced via heads-up digitizing by ECGIS. They are periodically updated.

  8. a

    Topographic - All Features (SHP)

    • hub.arcgis.com
    Updated Oct 31, 2020
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    City of Coquitlam (2020). Topographic - All Features (SHP) [Dataset]. https://hub.arcgis.com/documents/fb00e2c0b27e471da76571e466cece21
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    Dataset updated
    Oct 31, 2020
    Dataset authored and provided by
    City of Coquitlam
    Description

    Complete Topographic dataset in shapefile format. Consume this dataset if you wish to download the entire Topographic dataset at once.

  9. C

    DSM2 Georeferenced Model Grid

    • data.cnra.ca.gov
    • data.ca.gov
    Updated Jun 2, 2025
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    California Department of Water Resources (2025). DSM2 Georeferenced Model Grid [Dataset]. https://data.cnra.ca.gov/dataset/dsm2-georeferenced-model-grid
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    pdf(22679496), pdf(25962387), zip(158973), arcgis desktop map package(211110), zip(228604), pdf(22669649), zip(26881), arcgis pro map package(153901), zip(159621), pdf(20463896), arcgis desktop map package(300515), pdf(1443441), zip(140121)Available download formats
    Dataset updated
    Jun 2, 2025
    Dataset authored and provided by
    California Department of Water Resources
    Description

    ArcGIS and QGIS map packages, with ESRI shapefiles for the DSM2 Model Grid. These are not finalized products. Locations in these shapefiles are approximate.

    Monitoring Stations - shapefile with approximate locations of monitoring stations.

    DSM2 Grid 2025-05-28 Historical

    FC_2023.01

    DSM2 v8.2.0, calibrated version:

    • dsm2_8_2_grid_map_calibrated.mpkx - ArcGIS Pro map package containing all layers and symbology for the calibrated grid map.
    • dsm2_8_2_grid_map_calibrated.mpk - ArcGIS Desktop map package containing all layers and symbology for the calibrated grid map.
    • dsm2_8_2_0_calibrated_grid_map_qgis.zip - QGIS map package containing all layers and symbology for the calibrated grid map.
    • dsm2_8_2_0_calibrated_gridmap_shapefiles.zip - A zip file containing all the shapefiles used in the above map packages:
    • dsm2_8_2_0_calibrated_channels_centerlines - channel centerlines, follwing the path of CSDP centerlines
    • dsm2_8_2_0_calibrated_network_channels - channels represented by straight line segments which are connected the upstream and downstream nodes
    • dsm2_8_2_0_calibrated_nodes - DSM2 nodes
    • dsm2_8_2_0_calibrated_dcd_only_nodes - Nodes that are only used by DCD
    • dsm2_8_2_0_calibrated_and_dcd_nodes - Nodes that are shared by DSM2 and DCD
    • dsm2_8_2_0_calibrated_and_smcd_nodes - Nodes that are shared by DSM2 and SMCD
    • dsm2_8_2_0_calibrated_gates_actual_loc - The approximate actual locations of each gate in DSM2
    • dsm2_8_2_0_calibrated_gates_grid_loc - The locations of each gate in the DSM2 model grid
    • dsm2_8_2_0_calibrated_reservoirs - The approximate locations of the reservoirs in DSM2
    • dsm2_8_2_0_calibrated_reservoir_connections - Lines showing connections from reservoirs to nodes in DSM2

    DSM2 v8.2.1, historical version:

    • DSM2 v8.2.1, historical version grid map release notes (PDF), updated 7/12/2022
    • DSM2 v8.2.1, historical version grid map, single zoom level (PDF)
    • DSM2 v8.2.1, historical version grid map, multiple zoom levels (PDF) - PDF grid map designed to be printed on 3 foot wide plotter paper.
    • DSM2 v8.2.1, historical version map package for ArcGIS Desktop: A map package for ArcGIS Desktop containing the grid map layers with symbology.
    • DSM2 v8.2.1, historical version grid map shapefiles (zip): A zip file containing the shapefiles used in the grid map.

    Change Log

    7/12/2022: The document "DSM2 v8.2.1, historical version grid map release notes (PDF)" was corrected by removing section 4.4, which incorrectly stated that the grid included channels 710-714, representing the Toe Drain, and that the Yolo Flyway restoration area was included.

  10. o

    Ethiopia shapefiles - Dataset - openAFRICA

    • open.africa
    Updated Jan 29, 2016
    + more versions
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    (2016). Ethiopia shapefiles - Dataset - openAFRICA [Dataset]. https://open.africa/dataset/ethiopia-shapefiles
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    Dataset updated
    Jan 29, 2016
    License

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

    Area covered
    Ethiopia
    Description

    Shapefiles for Ethiopia's Administrative boundaries: Regions, Zones and Woredas

  11. a

    Watersheds Shapefile

    • hub.arcgis.com
    • data-ecgis.opendata.arcgis.com
    • +1more
    Updated Aug 9, 2018
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    Eaton County Michigan (2018). Watersheds Shapefile [Dataset]. https://hub.arcgis.com/datasets/ac03675fb8ae42d7a6281732518f9152
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    Dataset updated
    Aug 9, 2018
    Dataset authored and provided by
    Eaton County Michigan
    Description

    Watersheds in Eaton County, Michigan, USA. These watersheds were created using a hydro-enforced 10ft DEM derived from 2010 Lidar in conjunction with ECGIS hydrology vector layers. The watersheds are simply elevation-based and pay no heed to man-made drainage that may run counter-grade. Delineation occurs confluence to confluence along the flowlines and also around lakes that are 4 hectares or larger.

  12. o

    Tanzania Shapefiles 2002 - Dataset - openAFRICA

    • open.africa
    Updated Feb 15, 2021
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    (2021). Tanzania Shapefiles 2002 - Dataset - openAFRICA [Dataset]. https://open.africa/dataset/tanzania-shapefiles-2002
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    Dataset updated
    Feb 15, 2021
    License

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

    Area covered
    Tanzania
    Description

    Administration boundaries Level 0, level 1, level 2

  13. a

    Hydrography Shapefile Lines - Statewide

    • gis-odnr.opendata.arcgis.com
    Updated Nov 6, 2024
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    Ohio Department of Natural Resources (2024). Hydrography Shapefile Lines - Statewide [Dataset]. https://gis-odnr.opendata.arcgis.com/datasets/hydrography-shapefile-lines-statewide
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    Dataset updated
    Nov 6, 2024
    Dataset authored and provided by
    Ohio Department of Natural Resources
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Download .zipThis is a statewide digital version of the Hydrography layer of the published USGS 1:24OOO-scale topographic map series. It was created from DLG files of each scanned 7.5-minute quad map, using custom ARC/INFO software routines which did the following steps: convert from DLG format to coverage format project from UTM to StatePlane map projection rubbersheet map sheet corners to exact computed quad-corner coordinates run semi-automated Edgematching procedure which joins hydrography lines along the quad edges, using distance-offset (maximum of 100 feet) and attribute-match criteria to determine which lines to join. merge the individual quad coverages and dissolve the quad-edge lines Processing was done using Double Precision coordinates and math, with processing tolerance (Fuzzy) of 1 foot.

    In the Database/Dataset Section the items CMAJOR and CMINOR represent coded pairs and are documented together. Up to five pairs in the pat and four pairs in the aat may be present. These will be appear in the tables as CMAJOR1 CMINOR1 CMAJOR2 CMINOR2, etc.

    The layer has been provided in both shape file and coverage format. In the case of the shape file separate shape files are provided for point, line, and polygon data. In the coverage format the line and polygon data is combined in one coverage. The shape files will be the choice of most users due to speed of drawing issues. Those users desiring to manipulate the original data may want to use the coverage format. All shapefiles have been combined for simplicities sake into one self extracting zip file which expands to about 500 megabytes. However, the value listed in the file size parameter of the metadata represents only the size of the particular shapefile being documented. Also it should be noted that the coverages contain redefined items which of necessity had to be split into separate items or omitted in the shape files because this option isn't available in shapefiles.

    This layer documentation is for the Shapefile which includes line features.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesReal Estate & Land ManagementReal Estate and Lands Management2045 Morse Rd, Bldg I-2Columbus, OH, 43229Telephone: 614-265-6462Email: gis.support@dnr.ohio.gov

  14. 2020 Cartographic Boundary File (SHP), Current County and Equivalent for...

    • catalog.data.gov
    • datasets.ai
    • +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). 2020 Cartographic Boundary File (SHP), Current County and Equivalent for United States, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2020-cartographic-boundary-file-shp-current-county-and-equivalent-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 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. 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, 2020, primarily as reported through the Census Bureau's Boundary and Annexation Survey (BAS).

  15. a

    Cadastral - All Features (SHP)

    • hub.arcgis.com
    Updated Oct 26, 2020
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    City of Coquitlam (2020). Cadastral - All Features (SHP) [Dataset]. https://hub.arcgis.com/documents/ba5fd8299c474010aecfa6fe3df2f527
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    Dataset updated
    Oct 26, 2020
    Dataset authored and provided by
    City of Coquitlam
    Description

    Complete Cadastral dataset in shapefile format. Consume this dataset if you wish to download the entire Cadastral dataset at once.

  16. a

    Parcels Shapefile

    • hub.arcgis.com
    Updated Oct 2, 2015
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    Story County, Iowa GIS (2015). Parcels Shapefile [Dataset]. https://hub.arcgis.com/datasets/3b6dd9c89c384976987f339363f3f8f7
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    Dataset updated
    Oct 2, 2015
    Dataset authored and provided by
    Story County, Iowa GIS
    Area covered
    Description

    Story County Parcels layer

  17. TIGER/Line Shapefile, 2022, State, Arkansas, AR, Place

    • catalog.data.gov
    • datasets.ai
    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, State, Arkansas, AR, Place [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2022-state-arkansas-ar-place
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    Dataset updated
    Jan 28, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Arkansas
    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 TIGER/Line shapefiles include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. The boundaries of most incorporated places in this shapefile are as of January 1, 2022, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census, but some CDPs were added or updated through the 2022 BAS as well.

  18. o

    Kenya Counties Shapefile - Dataset - openAFRICA

    • open.africa
    Updated Oct 21, 2015
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    (2015). Kenya Counties Shapefile - Dataset - openAFRICA [Dataset]. https://open.africa/dataset/kenya-counties-shapefile
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    Dataset updated
    Oct 21, 2015
    License

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

    Area covered
    Kenya
    Description

    Kenya counties boundary data in .shp format

  19. TIGER/Line Shapefile, Current, State, Virginia, Place

    • catalog.data.gov
    Updated Dec 15, 2023
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch (Point of Contact) (2023). TIGER/Line Shapefile, Current, State, Virginia, Place [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-current-state-virginia-place
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    Dataset updated
    Dec 15, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Virginia
    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) 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 TIGER/Line shapefiles include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. The boundaries of most incorporated places in this shapefile are as of January 1, 2023, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census, but some CDPs were added or updated through the 2023 BAS as well.

  20. d

    TIGER/Line Shapefile, 2018, county, Houston County, TX, All Roads...

    • catalog.data.gov
    Updated Dec 2, 2020
    + more versions
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    (2020). TIGER/Line Shapefile, 2018, county, Houston County, TX, All Roads County-based Shapefile [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2018-county-houston-county-tx-all-roads-county-based-shapefile
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    Dataset updated
    Dec 2, 2020
    Area covered
    Texas, Houston 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, and stairways.

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

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2 scholarly articles cite this dataset (View in Google Scholar)
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.

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