8 datasets found
  1. Congressional Districts

    • catalog.data.gov
    • s.cnmilf.com
    • +4more
    Updated Oct 21, 2025
    + more versions
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    United States Census Bureau (USCB) (Point of Contact) (2025). Congressional Districts [Dataset]. https://catalog.data.gov/dataset/congressional-districts5
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    Dataset updated
    Oct 21, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The 119th Congressional Districts dataset reflects boundaries from January 3rd, 2025 from the United States Census Bureau (USCB), and the attributes are updated every Sunday from the United States House of Representatives and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). 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. Information for each member of Congress is appended to the Census Congressional District shapefile using information from the Office of the Clerk, U.S. House of Representatives' website https://clerk.house.gov/xml/lists/MemberData.xml and its corresponding XML file. Congressional districts are the 435 areas from which people are elected to the U.S. House of Representatives. This dataset also includes 9 geographies for non-voting at large delegate districts, resident commissioner districts, and congressional districts that are not defined. After the apportionment of congressional seats among the states based on census population counts, each state is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a state as practicable. The 119th Congress is seated from January 3, 2025 through January 3, 2027. In Connecticut, Illinois, and New Hampshire, the Redistricting Data Program (RDP) participant did not define the CDs to cover all of the state or state equivalent area. In these areas with no CDs defined, the code "ZZ" has been assigned, which is treated as a single CD for purposes of data presentation. The TIGER/Line shapefiles for the District of Columbia, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) each contain a single record for the non-voting delegate district in these areas. The boundaries of all other congressional districts reflect information provided to the Census Bureau by the states by May 31, 2024. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529006

  2. g

    Data from: Congressional District Atlas

    • search.gesis.org
    • dataverse-staging.rdmc.unc.edu
    Updated May 6, 2021
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    UNC Dataverse (2021). Congressional District Atlas [Dataset]. https://search.gesis.org/research_data/datasearch-httpsdataverse-unc-eduoai--hdl1902-29DVD-0002
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    Dataset updated
    May 6, 2021
    Dataset provided by
    GESIS search
    UNC Dataverse
    License

    https://search.gesis.org/research_data/datasearch-httpsdataverse-unc-eduoai--hdl1902-29DVD-0002https://search.gesis.org/research_data/datasearch-httpsdataverse-unc-eduoai--hdl1902-29DVD-0002

    Description

    This edition of the Congressional District Atlas on DVD contains maps and tables that reflect the boundaries and geographic relationships for the 108th Congressional Districts. There are three map types included: individual congressional district maps, state-based congressional district maps, and a national congressional district map. The tables show the relationship of congressional districts to counties and county equivalents, incorporated places and census designated places (including cons olidated cities), county subdivisions (for 18 states), American Indian areas, census tracts, ZIP Code Tabulation Areas (ZCTAs), urban and rural population and land area, and school districts. The maps are in PDF format and tables are in both PDF and TEXT format. A browser-based interface for accessing maps and tables is included on the DVD.

    Note to Users: This DVD is part of a collection located in the Data Archive of the Odum Institute for Research in Social Science, at the University of North Carolina at Chapel Hill. The collection is located in Room 10, Manning Hall. Users may check the CDs out subscribing to the honor system. Items can be checked out for a period of two weeks. Loan forms are located adjacent to the collection.

  3. N

    119th Congressional Districts (North Dakota subset)

    • visual-science.co.uk
    Updated Sep 7, 2025
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    United States Census Bureau (USCB) (2025). 119th Congressional Districts (North Dakota subset) [Dataset]. https://visual-science.co.uk/?p=2419534
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    json, application/vnd.mapbox-vector-tile, zipAvailable download formats
    Dataset updated
    Sep 7, 2025
    Dataset provided by
    USDOT / Bureau of Transportation Statistics (NTAD)
    Authors
    United States Census Bureau (USCB)
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Time period covered
    Jan 3, 2025 - Jan 3, 2027
    Area covered
    North Dakota, United States
    Variables measured
    GEOID, party, state, end date, start date, member name, district number
    Measurement technique
    TIGER/Line shapefile extraction from MAF/TIGER, Weekly member data append from U.S. House Clerk XML
    Description

    Boundaries and attributes for U.S. congressional districts (119th Congress, 2025–2027). North Dakota subset visualized from national TIGER/Line-based NTAD holdings with member info appended from the U.S. House Clerk.

  4. s

    Congressional Districts: United States and Territories, 2013-2015

    • searchworks.stanford.edu
    zip
    Updated Jun 9, 2021
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    (2021). Congressional Districts: United States and Territories, 2013-2015 [Dataset]. https://searchworks.stanford.edu/view/tv429pv8839
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    zipAvailable download formats
    Dataset updated
    Jun 9, 2021
    Area covered
    United States
    Description

    The National Transportation Atlas Databases 2014 (NTAD2014) is a set of nationwide geographic datasets of transportation facilities, transportation networks, associated infrastructure and other political and administrative entities. These datasets include spatial information for transportation modal networks and intermodal terminals, as well as the re¬lated attribute information for these features. This data supports research, analysis, and decision-making across all transportation modes. It is most useful at the national level, but has major applications at regional, state and local scales throughout the transportation community. The data used to compile NTAD2014 was provided by our partners within the United States Department of Transportation (USDOT) and by other agencies throughout the United States Federal Government. These contributors are the actual data stewards and are ultimately responsible for the maintenance and accuracy of their data. This data was sourced from the information contained in the Census Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) database. The content of the MAF/TIGER database is undergoing continuous census data updates and is made available to the public through a variety of TIGER/Line® shapefiles.

  5. Georgia Land Cover Image Atlas Volume 2: Croplands - Datasets - AmericaView...

    • ckan.americaview.org
    Updated Sep 16, 2021
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    ckan.americaview.org (2021). Georgia Land Cover Image Atlas Volume 2: Croplands - Datasets - AmericaView - CKAN [Dataset]. https://ckan.americaview.org/dataset/georgia-landcover-image-atlas-volume-ii-croplands-2018
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    Dataset updated
    Sep 16, 2021
    Dataset provided by
    CKANhttps://ckan.org/
    License

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

    Description

    This atlas is one of GeorgiaView’s outreach activities. The theme of this atlas is the croplands in Georgia. Croplands are very important part of our living environment. Even if online platforms like CropScape (https://nassgeodata.gmu.edu/CropScape/) provide cropland information, they are not reached to the public easily because of, mostly, technical limits. As a way of helping people's environmental awareness and decision making, intuitively and informatively, GeorgiaView has developed image atlas series using community boundaries in Georgia such as 159 counties, 14 congressional districts, and 12 regional commissions. Landsat imagery, Cropland Data Layer, administrative boundaries, and the National Land Cover Database (NLCD) are used in this atlas. Road network datasets are also used as a reference for relative locations of geographical units such as counties. This atlas may appeal to various decision makers who use geographical boundaries at local and state governments. It may also be used for civilizing K-12 students about their communities, primary production fields, and environmental awareness.

  6. d

    Navigational Facilities

    • catalog.data.gov
    • geodata.bts.gov
    • +6more
    Updated Oct 15, 2025
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    United States Army Corp of Engineers (USACE) (Point of Contact) (2025). Navigational Facilities [Dataset]. https://catalog.data.gov/dataset/navigational-facilities
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    Dataset updated
    Oct 15, 2025
    Dataset provided by
    United States Army Corp of Engineers (USACE) (Point of Contact)
    Description

    The Navgiational Facilities dataset is periodically updated by the United States Army Corp of Engineers (USACE) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The data includes location (latitude, longitude, waterway, mile, and bank); operations (name, owner, operator, purpose, handling equipment, rates, and details of open-and-covered storage facilities); and type of construction (length of berthing space for vessels and/or barges, depth, deck elevation, and details of rail-and-highway access). Additional attributes included in the data are the unique navigation-unit identifier, official name, facility type, United Nations Location Code, a location description, stress address, city, state, zip code, county, congressional district, TOWS link location identifiers, port name, waterway name, mile, bank, and service-initiated dates. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529017

  7. Docks

    • s.cnmilf.com
    • catalog.data.gov
    • +1more
    Updated Jul 17, 2025
    + more versions
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    United States Army Corp of Engineers (USACE) (Point of Contact) (2025). Docks [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/docks1
    Explore at:
    Dataset updated
    Jul 17, 2025
    Dataset provided by
    United States Army Corps of Engineershttp://www.usace.army.mil/
    Description

    The Docks dataset is periodically updated by the United States Army Corp of Engineers (USACE) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The Dock file provides the complete dock list of all facility types. Additional attributes include a _location description, street address, city, state, zip code, county, congressional district, owners, operators, highway-and-railway connections, commodities, type of construction, cargo-handling equipment, water depth alongside the facility, berthing space, and deck height. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529017

  8. a

    Alabama Port Facilities

    • data-algeohub.opendata.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Jun 17, 2021
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    Alabama GeoHub (2021). Alabama Port Facilities [Dataset]. https://data-algeohub.opendata.arcgis.com/maps/ALGeoHub::alabama-port-facilities/about
    Explore at:
    Dataset updated
    Jun 17, 2021
    Dataset authored and provided by
    Alabama GeoHub
    Area covered
    Description

    The Ports dataset as of October 24, 2018 is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics's (BTS's) National Transportation Atlas Database (NTAD). Contains physical information on commercial facilities at U.S. Coastal. The data consists of location description, street address, city, county name, congressional district FIPS code, type of construction, cargo-handling equipment, water depth alongside the facility, facility type ( dock, fleeting area, lock and/or dam) berthing space, latitude, longitude, current operators and owner’s information, list of commodities handled at facility, road/railway connections, equipment available at facility, storage facilities, cranes, transit sheds, grain elevators, marine repair plants, fleeting areas, and docking, and facility start/stop date. Metadata

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United States Census Bureau (USCB) (Point of Contact) (2025). Congressional Districts [Dataset]. https://catalog.data.gov/dataset/congressional-districts5
Organization logo

Congressional Districts

Explore at:
Dataset updated
Oct 21, 2025
Dataset provided by
United States Census Bureauhttp://census.gov/
Description

The 119th Congressional Districts dataset reflects boundaries from January 3rd, 2025 from the United States Census Bureau (USCB), and the attributes are updated every Sunday from the United States House of Representatives and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). 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. Information for each member of Congress is appended to the Census Congressional District shapefile using information from the Office of the Clerk, U.S. House of Representatives' website https://clerk.house.gov/xml/lists/MemberData.xml and its corresponding XML file. Congressional districts are the 435 areas from which people are elected to the U.S. House of Representatives. This dataset also includes 9 geographies for non-voting at large delegate districts, resident commissioner districts, and congressional districts that are not defined. After the apportionment of congressional seats among the states based on census population counts, each state is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a state as practicable. The 119th Congress is seated from January 3, 2025 through January 3, 2027. In Connecticut, Illinois, and New Hampshire, the Redistricting Data Program (RDP) participant did not define the CDs to cover all of the state or state equivalent area. In these areas with no CDs defined, the code "ZZ" has been assigned, which is treated as a single CD for purposes of data presentation. The TIGER/Line shapefiles for the District of Columbia, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) each contain a single record for the non-voting delegate district in these areas. The boundaries of all other congressional districts reflect information provided to the Census Bureau by the states by May 31, 2024. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529006

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