91 datasets found
  1. a

    2020 Census Redistricting Data

    • hub.arcgis.com
    Updated Jan 27, 2023
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    City of Seguin (2023). 2020 Census Redistricting Data [Dataset]. https://hub.arcgis.com/documents/5d732e0b31aa4362851ab5ff54236fc2
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    Dataset updated
    Jan 27, 2023
    Dataset authored and provided by
    City of Seguin
    Description

    Business Analyst Report

  2. a

    Census 2020 Redistricting Data by Block

    • hub.arcgis.com
    • datahub.johnscreekga.gov
    Updated Aug 16, 2021
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    City of Johns Creek, GA (2021). Census 2020 Redistricting Data by Block [Dataset]. https://hub.arcgis.com/maps/JohnsCreekGA::census-2020-redistricting-data-by-block
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    Dataset updated
    Aug 16, 2021
    Dataset authored and provided by
    City of Johns Creek, GA
    License

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

    Area covered
    Description

    This layer contains a selection of the Census 2020 Redistricting data that was released on August 12, 2021. The raw tabular data was downloaded via FTP from the Census Bureau, simplified, and the joined to the 2020 block geometries to create this layer that focuses on all of Fulton County, GA.Attribute names have been simplified and aliased so that users can more easily understand what data is available.

  3. d

    State Redistricting Criteria Reports

    • search.dataone.org
    Updated Nov 8, 2023
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    Redistricting Data Hub (2023). State Redistricting Criteria Reports [Dataset]. http://doi.org/10.7910/DVN/JKQAWE
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    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Redistricting Data Hub
    Description

    State produced redistricting reports on state legislative and congressional redistricting criteria from the 2021 cycle.

  4. a

    Decennial Census P.L. 94-171 Redistricting Data (Tract) (NCTCOG Region)

    • data-nctcoggis.hub.arcgis.com
    Updated Aug 12, 2021
    + more versions
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    North Central Texas Council of Governments (2021). Decennial Census P.L. 94-171 Redistricting Data (Tract) (NCTCOG Region) [Dataset]. https://data-nctcoggis.hub.arcgis.com/items/a85720540b7744308a6e9d5165f97423
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    Dataset updated
    Aug 12, 2021
    Dataset authored and provided by
    North Central Texas Council of Governments
    Area covered
    Description

    These data do NOT reflect changes resulting from the 2020 Census Count Question Resolution Operation (CQR). For the revised data, see 2020 Decennial Census Notes and Errata. This dataset includes unaltered 2020 Census Public Law 94-17 data (P.L. 94-171 Redistricting Data) for census tracts within the NCTCOG region. For more information including field descriptions, see 2020 PL Summary File Field Names and 2020 Census State Redistricting Data (Public Law 94-171) Summary File.

  5. H

    UNEDITED Community of Interest Maps: Georgia

    • dataverse.harvard.edu
    Updated May 15, 2025
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    Redistricting Data Hub (2025). UNEDITED Community of Interest Maps: Georgia [Dataset]. http://doi.org/10.7910/DVN/UX7WKL
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 15, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Redistricting Data Hub
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The Community of Interest Map Collection Project aims to collect COI maps submitted to legislative and congressional redistricting bodies and organizations during the 2021 redistricting cycle. This dataset contains UNEDITED (raw) community of interest maps for Georgia.

  6. a

    119th Congressional Districts

    • share-open-data-njtpa.hub.arcgis.com
    • hub.arcgis.com
    • +4more
    Updated Jun 5, 2024
    + more versions
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    GeoPlatform ArcGIS Online (2024). 119th Congressional Districts [Dataset]. https://share-open-data-njtpa.hub.arcgis.com/items/249971f133504bcaac56e6d2e98c4b67
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    Dataset updated
    Jun 5, 2024
    Dataset authored and provided by
    GeoPlatform ArcGIS Online
    Area covered
    Description

    Congressional districts are the 444 areas from which people are elected to the U.S. House of Representatives. 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 2023 through December 2024. In Connecticut, Illinois, and New Hampshire, the Redistricting Data Program (RDP) participant did not define the congressional districts to cover all of the state or state equivalent area. In these areas with no congressional districts defined, the code "ZZ" has been assigned, which is treated as a single congressional district for purposes of data presentation. The TIGER/Line data 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 August 31, 2022.Download: https://www2.census.gov/geo/tiger/TGRGDB24/tlgdb_2024_a_us_legislative.gdb.zip Layer: Congressional_DistrictsMetadata: https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Current_19115/series_tl_2023_cd118.shp.iso.xml

  7. Data from: Congressional Districts

    • catalog.data.gov
    • hub.arcgis.com
    • +1more
    Updated May 2, 2025
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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
    May 2, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The 119th Congressional Districts dataset reflects boundaries from January 03, 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

  8. a

    Decennial Census P.L. 94-171 Redistricting Data (Place) (Texas)

    • hub.arcgis.com
    Updated Aug 12, 2021
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    North Central Texas Council of Governments (2021). Decennial Census P.L. 94-171 Redistricting Data (Place) (Texas) [Dataset]. https://hub.arcgis.com/maps/NCTCOGGIS::decennial-census-p-l-94-171-redistricting-data-place-texas
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    Dataset updated
    Aug 12, 2021
    Dataset authored and provided by
    North Central Texas Council of Governments
    Area covered
    Description

    These data do NOT reflect changes resulting from the 2020 Census Count Question Resolution Operation (CQR). For the revised data, see 2020 Decennial Census Notes and Errata. This dataset includes unaltered 2020 Census Public Law 94-17 data (P.L. 94-171 Redistricting Data) for places in Texas. For more information including field descriptions, see 2020 PL Summary File Field Names and 2020 Census State Redistricting Data (Public Law 94-171) Summary File.

  9. d

    2020 Census Block King County - Redistricting Data 2020

    • catalog.data.gov
    • data.seattle.gov
    • +2more
    Updated Feb 28, 2025
    + more versions
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    City of Seattle ArcGIS Online (2025). 2020 Census Block King County - Redistricting Data 2020 [Dataset]. https://catalog.data.gov/dataset/king-county-census-2020-blocks-with-pl-94-171-redistricting-data-0dacd
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    Dataset updated
    Feb 28, 2025
    Dataset provided by
    City of Seattle ArcGIS Online
    Area covered
    King County
    Description

    Census 2020 blocks in King County with selected P.L. 94-171 redistricting data.For more information about the P.L. 94-171 redistricting data, please visit the U.S. Census Bureau. For a detailed description of the data included please see the 2020 Census State Redistricting Data Summary File. Important note: The Census Bureau advises analysts to aggregate blocks together to form larger geographic units before using the 2020 Census data. Background: The Bureau used a new tool, called Differential Privacy, to inject statistical noise into the 2020 Census data in order to protect privacy. The resulting noise can cause substantial inaccuracy at the block level; combining data for blocks and other small geographies reduces the inaccuracy. For more information see Redistricting Data: What to Expect and When (census.gov), 2020 Census Data Products: Disclosure Avoidance Modernization.

  10. a

    USA Census 2020 Redistricting - Tract

    • engage-socal-pilot-scag-rdp.hub.arcgis.com
    • hub.scag.ca.gov
    Updated Feb 3, 2022
    + more versions
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    rdpgisadmin (2022). USA Census 2020 Redistricting - Tract [Dataset]. https://engage-socal-pilot-scag-rdp.hub.arcgis.com/items/1e79a179497041bb883bcf6da64839c3
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    Dataset updated
    Feb 3, 2022
    Dataset authored and provided by
    rdpgisadmin
    Area covered
    United States,
    Description

    This layer contains census tract level 2020 Decennial Census redistricting data as reported by the U.S. Census Bureau for all states plus DC and Puerto Rico. The attributes come from the 2020 Public Law 94-171 (P.L. 94-171) tables.Data download date: August 12, 2021Census tables: P1, P2, P3, P4, H1, P5, HeaderDownloaded from: Census FTP siteProcessing Notes:Data was downloaded from the U.S. Census Bureau FTP site, imported into SAS format and joined to the 2020 TIGER boundaries. Boundaries are sourced from the 2020 TIGER/Line Geodatabases. Boundaries have been projected into Web Mercator and each attribute has been given a clear descriptive alias name. No alterations have been made to the vertices of the data.Each attribute maintains it's specified name from Census, but also has a descriptive alias name and long description derived from the technical documentation provided by the Census. For a detailed list of the attributes contained in this layer, view the Data tab and select "Fields". The following alterations have been made to the tabular data:Joined all tables to create one wide attribute table:P1 - RaceP2 - Hispanic or Latino, and not Hispanic or Latino by RaceP3 - Race for the Population 18 Years and OverP4 - Hispanic or Latino, and not Hispanic or Latino by Race for the Population 18 Years and OverH1 - Occupancy Status (Housing)P5 - Group Quarters Population by Group Quarters Type (correctional institutions, juvenile facilities, nursing facilities/skilled nursing, college/university student housing, military quarters, etc.)HeaderAfter joining, dropped fields: FILEID, STUSAB, CHARITER, CIFSN, LOGRECNO, GEOVAR, GEOCOMP, LSADC, BLOCK, BLKGRP, and TBLKGRP.GEOCOMP was renamed to GEOID and moved be the first column in the table, the original GEOID was dropped.Placeholder fields for future legislative districts have been dropped: CD118, CD119, CD120, CD121, SLDU22, SLDU24, SLDU26, SLDU28, SLDL22, SLDL24 SLDL26, SLDL28.P0020001 was dropped, as it is duplicative of P0010001. Similarly, P0040001 was dropped, as it is duplicative of P0030001.In addition to calculated fields, County_Name and State_Name were added.The following calculated fields have been added (see long field descriptions in the Data tab for formulas used): PCT_P0030001: Percent of Population 18 Years and OverPCT_P0020002: Percent Hispanic or LatinoPCT_P0020005: Percent White alone, not Hispanic or LatinoPCT_P0020006: Percent Black or African American alone, not Hispanic or LatinoPCT_P0020007: Percent American Indian and Alaska Native alone, not Hispanic or LatinoPCT_P0020008: Percent Asian alone, Not Hispanic or LatinoPCT_P0020009: Percent Native Hawaiian and Other Pacific Islander alone, not Hispanic or LatinoPCT_P0020010: Percent Some Other Race alone, not Hispanic or LatinoPCT_P0020011: Percent Population of Two or More Races, not Hispanic or LatinoPCT_H0010002: Percent of Housing Units that are OccupiedPCT_H0010003: Percent of Housing Units that are VacantPlease note these percentages might look strange at the individual tract level, since this data has been protected using differential privacy.**To protect the privacy and confidentiality of respondents, data has been protected using differential privacy techniques by the U.S. Census Bureau. This means that some individual tracts will have values that are inconsistent or improbable. However, when aggregated up, these issues become minimized. The pop-up on this layer uses Arcade to display aggregated values for the surrounding area rather than values for the tract itself.Download Census redistricting data in this layer as a file geodatabase.Additional links:U.S. Census BureauU.S. Census Bureau Decennial CensusAbout the 2020 Census2020 Census2020 Census data qualityDecennial Census P.L. 94-171 Redistricting Data Program

  11. r

    Congressional Districts (2022)

    • rigis.org
    • hub.arcgis.com
    Updated Aug 4, 2023
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    Environmental Data Center (2023). Congressional Districts (2022) [Dataset]. https://www.rigis.org/datasets/edc::congressional-districts-2022/about
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    Dataset updated
    Aug 4, 2023
    Dataset authored and provided by
    Environmental Data Center
    Area covered
    Description

    This hosted feature layer has been published in RI State Plane Feet NAD 83.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. Congressional districts are the 435 areas from which people are elected to the U.S. House of Representatives. 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 118th Congress is seated from January 2023 through December 2024. 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 August 31, 2022.

  12. a

    US Census 2000: Housing and Population Redistricting

    • hub.arcgis.com
    • rigis.org
    • +2more
    Updated Feb 15, 2007
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    Environmental Data Center (2007). US Census 2000: Housing and Population Redistricting [Dataset]. https://hub.arcgis.com/datasets/edc::us-census-2000-housing-and-population-redistricting/geoservice
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    Dataset updated
    Feb 15, 2007
    Dataset authored and provided by
    Environmental Data Center
    Area covered
    Description

    Redistricting Census 2000 TIGER/Line was used to divide Rhode Island into Tract, Block Group and Block levels. The TIGER/Line data set was joined with Census 2000 Redistricting Data to calculate the population density per square mile. These data are tabular and Geographic US Census 2000 information for general GIS use.

  13. a

    USA Census 2020 Redistricting Block Groups

    • cest-cusec.hub.arcgis.com
    • opendata.rcmrd.org
    • +3more
    Updated Aug 20, 2021
    + more versions
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    Esri (2021). USA Census 2020 Redistricting Block Groups [Dataset]. https://cest-cusec.hub.arcgis.com/datasets/esri::usa-census-2020-redistricting-block-groups
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    Dataset updated
    Aug 20, 2021
    Dataset authored and provided by
    Esri
    Area covered
    Description

    This layer contains block group level 2020 Decennial Census redistricting data as reported by the U.S. Census Bureau for all states plus DC and Puerto Rico. The attributes come from the 2020 Public Law 94-171 (P.L. 94-171) tables.Data download date: August 12, 2021Census tables: P1, P2, P3, P4, H1, P5, HeaderDownloaded from: Census FTP siteProcessing Notes:Data was downloaded from the U.S. Census Bureau FTP site, imported into SAS format and joined to the 2020 TIGER boundaries. Boundaries are sourced from the 2020 TIGER/Line Geodatabases. Boundaries have been projected into Web Mercator and each attribute has been given a clear descriptive alias name. No alterations have been made to the vertices of the data.Each attribute maintains it's specified name from Census, but also has a descriptive alias name and long description derived from the technical documentation provided by the Census. For a detailed list of the attributes contained in this layer, view the Data tab and select "Fields". The following alterations have been made to the tabular data:Joined all tables to create one wide attribute table:P1 - RaceP2 - Hispanic or Latino, and not Hispanic or Latino by RaceP3 - Race for the Population 18 Years and OverP4 - Hispanic or Latino, and not Hispanic or Latino by Race for the Population 18 Years and OverH1 - Occupancy Status (Housing)P5 - Group Quarters Population by Group Quarters Type (correctional institutions, juvenile facilities, nursing facilities/skilled nursing, college/university student housing, military quarters, etc.)HeaderAfter joining, dropped fields: FILEID, STUSAB, CHARITER, CIFSN, LOGRECNO, GEOVAR, GEOCOMP, LSADC, and BLOCK.GEOCOMP was renamed to GEOID and moved be the first column in the table, the original GEOID was dropped.Placeholder fields for future legislative districts have been dropped: CD118, CD119, CD120, CD121, SLDU22, SLDU24, SLDU26, SLDU28, SLDL22, SLDL24 SLDL26, SLDL28.P0020001 was dropped, as it is duplicative of P0010001. Similarly, P0040001 was dropped, as it is duplicative of P0030001.In addition to calculated fields, County_Name and State_Name were added.The following calculated fields have been added (see long field descriptions in the Data tab for formulas used): PCT_P0030001: Percent of Population 18 Years and OverPCT_P0020002: Percent Hispanic or LatinoPCT_P0020005: Percent White alone, not Hispanic or LatinoPCT_P0020006: Percent Black or African American alone, not Hispanic or LatinoPCT_P0020007: Percent American Indian and Alaska Native alone, not Hispanic or LatinoPCT_P0020008: Percent Asian alone, Not Hispanic or LatinoPCT_P0020009: Percent Native Hawaiian and Other Pacific Islander alone, not Hispanic or LatinoPCT_P0020010: Percent Some Other Race alone, not Hispanic or LatinoPCT_P0020011: Percent Population of Two or More Races, not Hispanic or LatinoPCT_H0010002: Percent of Housing Units that are OccupiedPCT_H0010003: Percent of Housing Units that are VacantPlease note these percentages might look strange at the individual block group level, since this data has been protected using differential privacy.* *To protect the privacy and confidentiality of respondents, data has been protected using differential privacy techniques by the U.S. Census Bureau. This means that some individual block groups will have values that are inconsistent or improbable. However, when aggregated up, these issues become minimized. The pop-up on this layer uses Arcade to display aggregated values for the surrounding area rather than values for the block group itself.Download Census redistricting data in this layer as a file geodatabase.Additional links:U.S. Census BureauU.S. Census Bureau Decennial CensusAbout the 2020 Census2020 Census2020 Census data qualityDecennial Census P.L. 94-171 Redistricting Data Program

  14. d

    2020 Census Tract Seattle - Redistricting Data 1990-2020

    • catalog.data.gov
    • data.seattle.gov
    • +2more
    Updated Feb 28, 2025
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    City of Seattle ArcGIS Online (2025). 2020 Census Tract Seattle - Redistricting Data 1990-2020 [Dataset]. https://catalog.data.gov/dataset/census-2020-tracts-with-pl-94-171-redistricting-data-for-1990-2020-8a87f
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    Dataset updated
    Feb 28, 2025
    Dataset provided by
    City of Seattle ArcGIS Online
    Area covered
    Seattle
    Description

    Census 2020 Tracts with selected 1990, 2000, 2010, 2020 P.L. 94-171 redistricting data - includes a row for city totals.For more information about the P.L. 94-171 redistricting data, please visit the U.S. Census Bureau. For a detailed description of the data included please see the 2020 Census State Redistricting Data Summary File.

  15. m

    US Congressional Representatives

    • maconinsights.maconbibb.us
    • maconinsights.com
    • +3more
    Updated Jan 9, 2018
    + more versions
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    Macon-Bibb County Government (2018). US Congressional Representatives [Dataset]. https://maconinsights.maconbibb.us/maps/us-congressional-representatives-2
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    Dataset updated
    Jan 9, 2018
    Dataset authored and provided by
    Macon-Bibb County Government
    Area covered
    Description

    Us House Congressional Representatives serving Macon-Bibb County.Congressional districts are the 435 areas from which members are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the states, which is based on decennial census population counts, each state with multiple seats 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 boundaries and numbers shown for the congressional districts are those specified in the state laws or court orders establishing the districts within each state.

    Congressional districts for the 108th through 112th sessions were established by the states based on the result of the 2000 Census. Congressional districts for the 113th through 115th sessions were established by the states based on the result of the 2010 Census. Boundaries are effective until January of odd number years (for example, January 2015, January 2017, etc.), unless a state initiative or court ordered redistricting requires a change. All states established new congressional districts in 2011-2012, with the exception of the seven single member states (Alaska, Delaware, Montana, North Dakota, South Dakota, Vermont, and Wyoming).

    For the states that have more than one representative, the Census Bureau requested a copy of the state laws or applicable court order(s) for each state from each secretary of state and each 2010 Redistricting Data Program state liaison requesting a copy of the state laws and/or applicable court order(s) for each state. Additionally, the states were asked to furnish their newly established congressional district boundaries and numbers by means of geographic equivalency files. States submitted equivalency files since most redistricting was based on whole census blocks. Kentucky was the only state where congressional district boundaries split some of the 2010 Census tabulation blocks. For further information on these blocks, please see the user-note at the bottom of the tables for this state.

    The Census Bureau entered this information into its geographic database and produced tabulation block equivalency files that depicted the newly defined congressional district boundaries. Each state liaison was furnished with their file and requested to review, submit corrections, and certify the accuracy of the boundaries.

  16. u

    Census MAF/TIGER database

    • gstore.unm.edu
    csv, geojson, gml +5
    Updated Jun 6, 2011
    + more versions
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    Earth Data Analysis Center (2011). Census MAF/TIGER database [Dataset]. https://gstore.unm.edu/apps/rgis/datasets/ab89ed58-3b2b-42c9-afba-c79b42e4ad87/metadata/FGDC-STD-001-1998.html
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    shp(5), gml(5), geojson(5), csv(5), kml(5), json(5), xls(5), zip(1)Available download formats
    Dataset updated
    Jun 6, 2011
    Dataset provided by
    Earth Data Analysis Center
    Time period covered
    Jan 2010
    Area covered
    Luna County (35029), West Bounding Coordinate -109.050173 East Bounding Coordinate -108.208087 North Bounding Coordinate 32.777842 South Bounding Coordinate 31.332172
    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 MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Voting district is the generic name for geographic entities such as precincts, wards, and election districts established by State governments for the purpose of conducting elections. States participating in the 2010 Census Redistricting Data Program as part of Public Law 94-171 (1975) provided the Census Bureau with boundaries, codes, and names for their VTDs. Each VTD is identified by a 1- to 6-character alphanumeric census code that is unique within county. For the 2010 Census, Rhode Island is the only State that did not participate in Phase 2 (the Voting District Project) of the Redistricting Data Program and no VTDs exist for this State in the 2010 Census data products. Note that only Montana and Oregon do not have complete coverage of VTDs for the 2010 Census.

  17. V

    Hampton Roads 2020 Census Tracts (Redistricting)

    • data.virginia.gov
    • hrgeo.org
    • +1more
    Updated Jul 26, 2022
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    Hampton Roads PDC & Hampton Roads TPO (2022). Hampton Roads 2020 Census Tracts (Redistricting) [Dataset]. https://data.virginia.gov/dataset/hampton-roads-2020-census-tracts-redistricting
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    geojson, arcgis geoservices rest api, kml, html, csv, zipAvailable download formats
    Dataset updated
    Jul 26, 2022
    Dataset provided by
    HRPDC & HRTPO
    Authors
    Hampton Roads PDC & Hampton Roads TPO
    Area covered
    Hampton Roads
    Description

    2020 Census Tracts with PL94_171 Redistricting Data.


  18. u

    Census MAF/TIGER database

    • gstore.unm.edu
    csv, geojson, gml +5
    Updated Jun 6, 2011
    + more versions
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    Earth Data Analysis Center (2011). Census MAF/TIGER database [Dataset]. http://gstore.unm.edu/apps/rgis/datasets/5b442c64-492b-4411-a17d-fb4c8fb1d442/metadata/FGDC-STD-001-1998.html
    Explore at:
    xls(5), json(5), zip(1), shp(5), kml(5), csv(5), gml(5), geojson(5)Available download formats
    Dataset updated
    Jun 6, 2011
    Dataset provided by
    Earth Data Analysis Center
    Time period covered
    Jan 2010
    Area covered
    West Bounding Coordinate -105.312968 East Bounding Coordinate -104.124814 North Bounding Coordinate 35.217097 South Bounding Coordinate 34.34672, Torrance County (35057)
    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 MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Voting district is the generic name for geographic entities such as precincts, wards, and election districts established by State governments for the purpose of conducting elections. States participating in the 2010 Census Redistricting Data Program as part of Public Law 94-171 (1975) provided the Census Bureau with boundaries, codes, and names for their VTDs. Each VTD is identified by a 1- to 6-character alphanumeric census code that is unique within county. For the 2010 Census, Rhode Island is the only State that did not participate in Phase 2 (the Voting District Project) of the Redistricting Data Program and no VTDs exist for this State in the 2010 Census data products. Note that only Montana and Oregon do not have complete coverage of VTDs for the 2010 Census.

  19. Massachusetts Census 2020 Redistricting Blocks

    • gis.data.mass.gov
    • open-data-massgis.hub.arcgis.com
    Updated Aug 21, 2021
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    Esri (2021). Massachusetts Census 2020 Redistricting Blocks [Dataset]. https://gis.data.mass.gov/datasets/abd94a6cc94645f88811ae91802909a0
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    Dataset updated
    Aug 21, 2021
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This layer contains block level 2020 Decennial Census redistricting data as reported by the U.S. Census Bureau for the state of Massachusetts. The attributes come from the 2020 Public Law 94-171 (P.L. 94-171) tables.Data download date: August 12, 2021Census tables: P1, P2, P3, P4, H1, P5, HeaderDownloaded from: Census FTP siteProcessing Notes:Data was downloaded from the U.S. Census Bureau FTP site, imported into SAS format and joined to the 2020 TIGER boundaries. Boundaries are sourced from the 2020 TIGER/Line Geodatabases. Boundaries have been projected into Web Mercator and each attribute has been given a clear descriptive alias name. No alterations have been made to the vertices of the data.Each attribute maintains it's specified name from Census, but also has a descriptive alias name and long description derived from the technical documentation provided by the Census. For a detailed list of the attributes contained in this layer, view the Data tab and select "Fields". The following alterations have been made to the tabular data:Joined all tables to create one wide attribute table:P1 - RaceP2 - Hispanic or Latino, and not Hispanic or Latino by RaceP3 - Race for the Population 18 Years and OverP4 - Hispanic or Latino, and not Hispanic or Latino by Race for the Population 18 Years and OverH1 - Occupancy Status (Housing)P5 - Group Quarters Population by Group Quarters Type (correctional institutions, juvenile facilities, nursing facilities/skilled nursing, college/university student housing, military quarters, etc.)HeaderAfter joining, dropped fields: FILEID, STUSAB, CHARITER, CIFSN, LOGRECNO, GEOVAR, GEOCOMP, LSADC.GEOCOMP was renamed to GEOID and moved be the first column in the table, the original GEOID was dropped.Placeholder fields for future legislative districts have been dropped: CD118, CD119, CD120, CD121, SLDU22, SLDU24, SLDU26, SLDU28, SLDL22, SLDL24 SLDL26, SLDL28.P0020001 was dropped, as it is duplicative of P0010001. Similarly, P0040001 was dropped, as it is duplicative of P0030001.In addition to calculated fields, County_Name and State_Name were added.The following calculated fields have been added (see long field descriptions in the Data tab for formulas used): PCT_P0030001: Percent of Population 18 Years and OverPCT_P0020002: Percent Hispanic or LatinoPCT_P0020005: Percent White alone, not Hispanic or LatinoPCT_P0020006: Percent Black or African American alone, not Hispanic or LatinoPCT_P0020007: Percent American Indian and Alaska Native alone, not Hispanic or LatinoPCT_P0020008: Percent Asian alone, Not Hispanic or LatinoPCT_P0020009: Percent Native Hawaiian and Other Pacific Islander alone, not Hispanic or LatinoPCT_P0020010: Percent Some Other Race alone, not Hispanic or LatinoPCT_P0020011: Percent Population of Two or More Races, not Hispanic or LatinoPCT_H0010002: Percent of Housing Units that are OccupiedPCT_H0010003: Percent of Housing Units that are VacantPlease note these percentages might look strange at the individual block level, since this data has been protected using differential privacy.**To protect the privacy and confidentiality of respondents, data has been protected using differential privacy techniques by the U.S. Census Bureau. This means that some individual blocks will have values that are inconsistent or improbable. However, when aggregated up, these issues become minimized. The pop-up on this layer uses Arcade to display aggregated values for the surrounding area rather than values for the block itself.Additional links:U.S. Census BureauU.S. Census Bureau Decennial CensusAbout the 2020 Census2020 Census2020 Census data qualityDecennial Census P.L. 94-171 Redistricting Data Program

  20. u

    Census MAF/TIGER database

    • gstore.unm.edu
    csv, geojson, gml +5
    Updated Jun 6, 2011
    + more versions
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    Earth Data Analysis Center (2011). Census MAF/TIGER database [Dataset]. http://gstore.unm.edu/apps/rgis/datasets/14dbd2d0-7058-4a79-8e44-ecc0ef0cbe7c/metadata/FGDC-STD-001-1998.html
    Explore at:
    shp(5), gml(5), kml(5), json(5), xls(5), geojson(5), zip(3), csv(5)Available download formats
    Dataset updated
    Jun 6, 2011
    Dataset provided by
    Earth Data Analysis Center
    Time period covered
    Jan 2010
    Area covered
    United States, West Bounding Coordinate -109.050173 East Bounding Coordinate -103.001964 North Bounding Coordinate 37.000293 South Bounding Coordinate 31.332172
    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 MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. State Legislative Districts (SLDs) are the areas from which members are elected to State legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the State legislature. Nebraska has a unicameral legislature and the District of Columbia has a single council, both of which the Census Bureau treats as upper-chamber legislative areas for the purpose of data presentation; there are no data by SLDL for either Nebraska or the District of Columbia. A unique three-character census code, identified by State participants, is assigned to each SLD within a State. In Connecticut, Hawaii, Illinois, Louisiana, Maine, Maryland, Massachusetts, New Jersey, Ohio, and Puerto Rico, the Redistricting Data Program (RDP) participant did not define the SLDs to cover all of the State or State equivalent area. In these areas with no SLDs defined, the code "ZZZ" has been assigned, which is treated within county as a single SLD for purposes of data presentation. The boundaries of the 2010 Census State legislative districts were provided by State-level participants through the Redistricting Data Program (RDP) and reflect the districts used to elect members in the last election before 2010.

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City of Seguin (2023). 2020 Census Redistricting Data [Dataset]. https://hub.arcgis.com/documents/5d732e0b31aa4362851ab5ff54236fc2

2020 Census Redistricting Data

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204 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jan 27, 2023
Dataset authored and provided by
City of Seguin
Description

Business Analyst Report

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