5 datasets found
  1. V

    2019 Virginia Census Block Groups

    • data.virginia.gov
    geojson
    Updated Nov 22, 2024
    + more versions
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    Other (2024). 2019 Virginia Census Block Groups [Dataset]. https://data.virginia.gov/dataset/2019-virginia-census-block-groups
    Explore at:
    geojson(72213156)Available download formats
    Dataset updated
    Nov 22, 2024
    Dataset authored and provided by
    Other
    Description

    2019 Virginia Census Block Groups geospatial data

    U.S. Census Bureau; TIGER/Line Shapefiles 2019 Data accessed from: https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.2019.html

    TIGER/Line Shapefiles do not include demographic data, but they do contain geographic entity codes (GEOIDs) that can be linked to the Census Bureau’s demographic data.

    The Geographic Areas Reference Manual (GARM) describes in great detail the basic geographic entities the Census Bureau uses (https://www.census.gov/programs-surveys/acs/geography-acs.html).

    TIGER Data Products Guide (https://www.census.gov/programs-surveys/geography/guidance/tiger-data-products-guide.html)

  2. V

    2019 Virginia Census Tracts

    • data.virginia.gov
    csv
    Updated Nov 22, 2024
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    Office of INTERMODAL Planning and Investment (2024). 2019 Virginia Census Tracts [Dataset]. https://data.virginia.gov/dataset/2019-virginia-census-tracts
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    csvAvailable download formats
    Dataset updated
    Nov 22, 2024
    Dataset authored and provided by
    Office of INTERMODAL Planning and Investment
    Description

    2019 Virginia Census Tracts geospatial data

    U.S. Census Bureau; TIGER/Line Shapefiles 2019 Data accessed from: https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.2019.html

    TIGER/Line Shapefiles do not include demographic data, but they do contain geographic entity codes (GEOIDs) that can be linked to the Census Bureau’s demographic data.

    The Geographic Areas Reference Manual (GARM) describes in great detail the basic geographic entities the Census Bureau uses (https://www.census.gov/programs-surveys/acs/geography-acs.html).

    TIGER Data Products Guide (https://www.census.gov/programs-surveys/geography/guidance/tiger-data-products-guide.html)

  3. a

    Data from: Combined Statistical Areas

    • hifld-geoplatform.opendata.arcgis.com
    Updated Apr 4, 2018
    + more versions
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    GeoPlatform ArcGIS Online (2018). Combined Statistical Areas [Dataset]. https://hifld-geoplatform.opendata.arcgis.com/datasets/combined-statistical-areas-1
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    Dataset updated
    Apr 4, 2018
    Dataset authored and provided by
    GeoPlatform ArcGIS Online
    Area covered
    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) System. The MAF/TIGER System 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 TIGERweb REST Services allows users to integrate the Census Bureau's Topologically Integrated Geographic Encoding and Referencing database (TIGER) data into their own GIS or custom web-based applications.For a more detailed description of the areas listed or terms below, refer to TIGER/Line documentation or the Geographic Areas Reference Manual, (GARM).This REST service contains Combined New England City and Town Area (CNECTA), Combined Statistical Area (CSA), Metropolitan Division, Core Based Statistical Areas (CBSA), and New England City and Town Area (NECTA) boundaries.Combined New England City and Town Areas (CNECTAs) consist of two or more adjacent NECTAs that have significant employment interchanges. The NECTAs that combine to create a CNECTA retain separate identities within the larger combined statistical areas.

    Combined Statistical Areas (CSAs) consist of two or more adjacent CBSAs that have significant employment interchanges. The CBSAs that combine to create a CSA retain separate identities within the larger CSAs.

    Metropolitan Divisions are smaller groupings of counties or equivalent entities within a metropolitan statistical area that contains a single core with 2.5 million inhabitants.

    Core Based Statistical Area Codes (CBSA) are the metropolitan statistical areas, micropolitan statistical areas, NECTAs, metropolitan divisions, and NECTA divisions use a 5-character code. Each metropolitan statistical area must have one urbanized area of 50,000 or more inhabitants. Each micropolitan statistical area must have one urban cluster of 10,000 to 49,999 inhabitants.

    New England City and Town Area (NECTA) Divisions are smaller groupings of cities and towns within a NECTA that contains a single core with 2.5 million inhabitants. A NECTA Division consists of a main city or town that represents an employment center, as well as adjacent cities and towns associated with the main city or town through commuting ties. Each NECTA Division must contain a total population of 100,000 or more.

    Additional resources to obtain Metropolitan and Micropolitan Statistical Areas and Related Statistical Areas are listed below.

    Combined New England City and Town Area (CNECTA) Shapefile - https://www2.census.gov/geo/tiger/TIGER2020/CNECTA/

    Combined Statistical Area (CSA) Shapefile – https://www2.census.gov/geo/tiger/TIGER2020/CSA/

    Metropolitan Division Shapefile – https://www2.census.gov/geo/tiger/TIGER2020/METDIV/

    Core Based Statistical Areas (CBSA) Shapefile – https://www2.census.gov/geo/tiger/TIGER2020/CBSA/

    New England City and Town Area (NECTA) Shapefile- https://www2.census.gov/geo/tiger/TIGER2020/NECTA/.

  4. a

    Alabama Combined Statistical Areas

    • data-algeohub.opendata.arcgis.com
    • alic-algeohub.hub.arcgis.com
    • +1more
    Updated Jun 22, 2021
    + more versions
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    Alabama GeoHub (2021). Alabama Combined Statistical Areas [Dataset]. https://data-algeohub.opendata.arcgis.com/maps/d3682f9810514b6eb35b05e4ddccc945
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    Dataset updated
    Jun 22, 2021
    Dataset authored and provided by
    Alabama GeoHub
    Area covered
    Description

    The TIGER/Line Files are shapefiles and related database files (.dbf) that 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 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. The MAF/TIGER System 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 TIGERweb REST Services allows users to integrate the Census Bureau's Topologically Integrated Geographic Encoding and Referencing database (TIGER) data into their own GIS or custom web-based applications.For a more detailed description of the areas listed or terms below, refer to TIGER/Line documentation or the Geographic Areas Reference Manual, (GARM).Metadata

  5. O

    CT Counties

    • data.ct.gov
    • datasets.ai
    • +1more
    application/rdfxml +5
    Updated Jan 29, 2025
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    Office of Policy and Management (2025). CT Counties [Dataset]. https://data.ct.gov/Environment-and-Natural-Resources/CT-Counties/26nx-27yp
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    xml, application/rssxml, csv, json, tsv, application/rdfxmlAvailable download formats
    Dataset updated
    Jan 29, 2025
    Dataset authored and provided by
    Office of Policy and Management
    Area covered
    Connecticut
    Description

    This CT Counties layer consists of individual polygons representing each of the 8 counties that make up the state of Connecticut.

    This feature layer is directly derived from the CTDOT Municipalities feature layer geometry, created by CT Department of Transportation. The municipalities are dissolved into their associated counties.

    This feature layer includes US Census Federal Information Processing Standards (FIPS) codes that are associated with each municipality. This was included based on information from 'https://www.census.gov/programs-surveys/geography/technical-documentation/county-changes/2020.html' rel='nofollow ugc'>Connecticut County to County Subdivision Crosswalk from the US Census.

    The 9 Planning Regions in Connecticut have replaced the counties for statistical and administrative functions, so these 8 counties are used only in legacy geography.

    Connecticut’s 9 planning regions provide a geographic framework within which municipalities can jointly address common interests and coordinate such interests with state plans and programs. CGS Section 16a-4a authorizes the Secretary of the Office of Policy and Management (OPM) to designate or redesignate the boundaries of logical planning regions. CGS Section 4-124j authorizes the member municipalities of each planning region to establish a formal regional governance structure known as a council of governments (COG).

    For more information see:


    Field name

    Field description

    County

    Name of the county.

    CountyFIPS

    US Census FIPS code associated with the county.

    StateFIPS

    US Census FIPS code associated with the state.

    CountyFIPS_GEOID

    Full US Census FIPS for the county.

    ObjectID

    Unique Object ID.


    CT Municipalities

    CT Counties

    CT Councils of Governments

    CT Planning Regions


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Click to copy link
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Close
Cite
Other (2024). 2019 Virginia Census Block Groups [Dataset]. https://data.virginia.gov/dataset/2019-virginia-census-block-groups

2019 Virginia Census Block Groups

Explore at:
geojson(72213156)Available download formats
Dataset updated
Nov 22, 2024
Dataset authored and provided by
Other
Description

2019 Virginia Census Block Groups geospatial data

U.S. Census Bureau; TIGER/Line Shapefiles 2019 Data accessed from: https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.2019.html

TIGER/Line Shapefiles do not include demographic data, but they do contain geographic entity codes (GEOIDs) that can be linked to the Census Bureau’s demographic data.

The Geographic Areas Reference Manual (GARM) describes in great detail the basic geographic entities the Census Bureau uses (https://www.census.gov/programs-surveys/acs/geography-acs.html).

TIGER Data Products Guide (https://www.census.gov/programs-surveys/geography/guidance/tiger-data-products-guide.html)

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