100+ datasets found
  1. 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

  2. 2022 Cartographic Boundary File (KML), Current State Legislative...

    • catalog.data.gov
    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 (KML), Current State Legislative District-Lower Chamber for New York, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2022-cartographic-boundary-file-kml-current-state-legislative-district-lower-chamber-for-new-yo
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    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The 2022 cartographic boundary KMLs 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. 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, Illinois, Louisiana, New Hampshire, Wisconsin, 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 as a single SLD for purposes of data presentation. The generarlized boundaries in this file are based on the most recent state legislative district boundaries collected by the Census Bureau for the 2022 election year and provided by state-level participants through the RDP.

  3. c

    New York State Public School District Boundaries

    • data.cityofrochester.gov
    • hub.arcgis.com
    Updated Mar 4, 2020
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    Open_Data_Admin (2020). New York State Public School District Boundaries [Dataset]. https://data.cityofrochester.gov/datasets/new-york-state-public-school-district-boundaries/about
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    Dataset updated
    Mar 4, 2020
    Dataset authored and provided by
    Open_Data_Admin
    Area covered
    Description

    Public school district boundaries for all districts in New York State as of 2020Sourced from New York State GIS Clearinghouse:https://gis.ny.gov/gisdata/inventories/details.cfm?DSID=1326Metadata:Identification_Information:Citation:Citation_Information:Title:SchoolDistricts_2019_v3Geospatial_Data_Presentation_Form: vector digital dataDescription:Abstract:Data is updated when school distrcits merge or otherwise change.Purpose:NYS School DistrictsSpatial_Domain:Bounding_Coordinates:West_Bounding_Coordinate: -79.996911East_Bounding_Coordinate: -71.650182North_Bounding_Coordinate: 45.022656South_Bounding_Coordinate: 40.386493Keywords:Theme:Theme_Keyword_Thesaurus: NoneTheme_Keyword: NYS SchoolTheme_Keyword: School DistrictsAccess_Constraints: NoneUse_Constraints:NoneData_Set_Credit:NYS Education DepartmentNative_Data_Set_Environment:Esri ArcGIS 10.3.1.4959

  4. D

    Congressional District Boundaries for the State of New Jersey, 2022-2032

    • catalog.dvrpc.org
    • staging-catalog.cloud.dvrpc.org
    • +2more
    api, geojson, html +1
    Updated May 23, 2025
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    DVRPC (2025). Congressional District Boundaries for the State of New Jersey, 2022-2032 [Dataset]. https://catalog.dvrpc.org/dataset/congressional-district-boundaries-for-the-state-of-new-jersey-2022-2032
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    html, geojson, xml, apiAvailable download formats
    Dataset updated
    May 23, 2025
    Dataset provided by
    Delaware Valley Regional Planning Commissionhttps://www.dvrpc.org/
    Authors
    DVRPC
    Area covered
    New Jersey
    Description

    *** Downloaded from the New Jersey Geographic Information Network (NJGIN) Open Data Portal on 5/16/2024 *** This polygon layer delineates the US Congressional District boundaries in New Jersey, 2022 - 2032. For this redistricting, the apportionment is the same as for the previous, 2012 redistricting, resulting in the same number of Congressional Districts; however the boundaries have changed significantly. This version of the layer uses high-quality base map spatial data published by the State of New Jersey, instead of U.S. Census Bureau geographic data (TIGER.) Where no higher-quality data were available, the TIGER lines were used. This layer, which overlays correctly the highest quality municipal boundary data for New Jersey is an unofficial version; by law, the official version is based on U.S. Census data (geographic and demographic.)

  5. D

    Legislative District Boundaries for the State of New Jersey

    • catalog.dvrpc.org
    • staging-catalog.cloud.dvrpc.org
    • +2more
    api, geojson, html +1
    Updated May 23, 2025
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    DVRPC (2025). Legislative District Boundaries for the State of New Jersey [Dataset]. https://catalog.dvrpc.org/dataset/legislative-district-boundaries-for-the-state-of-new-jersey
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    geojson, xml, html, apiAvailable download formats
    Dataset updated
    May 23, 2025
    Dataset authored and provided by
    DVRPC
    Area covered
    New Jersey
    Description

    *** Downloaded from the New Jersey Geographic Information Network (NJGIN) Open Data Portal on 9/26/2022 *** The Legislative District polygon spatial layer delineates the legislative districts for New Jersey, beginning with the elections of 2023; the individuals elected will take office in January, 2024. The timing of this New Jersey redistricting was delayed due to the COVID19 pandemic. The spatial data are based mainly on the NJ Municipal Boundaries layer Govt_admin_municipal_bnd (fka nj_munis), rather than Census Bureau geographic data (TIGER.) Information on officeholders is derived from the legislative roster provided by the NJ Office of Legislative Services. It is updated infrequently and should be checked from an independent source before use. NOTE For users who incorporate NJOGIS services into web maps and/or web applications, please sign up for the NJ Geospatial Forum discussion listserv for early notification of service changes. Visit https://nj.gov/njgf/about/listserv/ for more information.

  6. 2023 Cartographic Boundary File (SHP), Elementary School District for New...

    • catalog.data.gov
    • datasets.ai
    Updated May 16, 2024
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division (Point of Contact) (2024). 2023 Cartographic Boundary File (SHP), Elementary School District for New York, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2023-cartographic-boundary-file-shp-elementary-school-district-for-new-york-1-500000
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    Dataset updated
    May 16, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    New York
    Description

    The 2023 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. School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from state officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to states and school districts. The cartographic boundary files include separate files for elementary, secondary and unified school districts. The generalized school district boundaries in this file are based on those in effect for the 2022-2023 school year, i.e., in operation as of January 1, 2023.

  7. m

    US Congressional District Map

    • maconinsights.maconbibb.us
    • maconinsights.com
    • +1more
    Updated Feb 16, 2018
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    Macon-Bibb County Government (2018). US Congressional District Map [Dataset]. https://maconinsights.maconbibb.us/documents/97c0131346444e8884a48c1cb0711052
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    Dataset updated
    Feb 16, 2018
    Dataset authored and provided by
    Macon-Bibb County Government
    Area covered
    United States
    Description

    This map shows Congressional District boundaries for the United States. The map is set to middle Georgia.

    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.

  8. d

    Council Districts 2026 - Legal Boundary Descriptions

    • data.detroitmi.gov
    • detroitdata.org
    • +2more
    Updated Feb 27, 2024
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    City of Detroit (2024). Council Districts 2026 - Legal Boundary Descriptions [Dataset]. https://data.detroitmi.gov/documents/6531978b4cf3431d944bcd8dbc820ee5
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    Dataset updated
    Feb 27, 2024
    Dataset authored and provided by
    City of Detroit
    Description

    Following each census, Detroit City Council is required by the 2012 Detroit City Charter to redraw the boundaries of the City's seven non at-large districts to be "as nearly of equal population as practicable, contiguous, compact and in accordance with any other criteria permitted by law" (Sec. 3-108). After considering six district boundary proposals meant to meet these criteria, City Council selected the boundaries described in this document by an 8-1 vote on February 6, 2024. These boundaries will be used to determine resident districts when voting in 2025 municipal elections, and will officially take effect January 1, 2026.

  9. d

    NM School District Boundaries

    • catalog.data.gov
    • datadiscoverystudio.org
    • +4more
    Updated Dec 2, 2020
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    (Point of Contact) (2020). NM School District Boundaries [Dataset]. https://catalog.data.gov/dataset/nm-school-district-boundaries
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    Dataset updated
    Dec 2, 2020
    Dataset provided by
    (Point of Contact)
    Area covered
    New Mexico
    Description

    The dataset represents the boundaries of all public school districts in the state of New Mexico. The source for the data layer is the New Mexico Public Education Department School District Boundary Atlas.

  10. u

    New Hampshire House of Representatives District Boundaries - 2022

    • nhgeodata.unh.edu
    • hub.arcgis.com
    • +2more
    Updated Feb 2, 2023
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    New Hampshire GRANIT GIS Clearinghouse (2023). New Hampshire House of Representatives District Boundaries - 2022 [Dataset]. https://www.nhgeodata.unh.edu/datasets/NHGRANIT::new-hampshire-house-of-representatives-district-boundaries-2022/about
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    Dataset updated
    Feb 2, 2023
    Dataset authored and provided by
    New Hampshire GRANIT GIS Clearinghouse
    Area covered
    Description

    The New Hampshire House of Representatives District Boundaries, 2022, contains "base" district boundaries drawn by the New Hampshire Legislature based on the 2020 US Census population count. Companion shape file NHHouseDists2022_float contains boundaries of NH House of Representatives "floterial" districts, which overlay the base districts. Both shape files are required to depict all NH House of Representatives districts. District boundaries were derived by applying district codes retrieved from the NH Secretary of State web site to the geometry provided by the GRANIT town boundary layer (PBNH).

  11. N

    New Mexico State House District Boundaries

    • catalog.newmexicowaterdata.org
    zip
    Updated Oct 23, 2023
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    EDAC (2023). New Mexico State House District Boundaries [Dataset]. https://catalog.newmexicowaterdata.org/dataset/nm-house-boundaries
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    zip(3373407)Available download formats
    Dataset updated
    Oct 23, 2023
    Dataset provided by
    EDAC
    License

    Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
    License information was derived automatically

    Area covered
    New Mexico
    Description

    Boundaries for the New Mexico State House Districts for the 2012 through 2020 election cycles.

  12. 2023 Cartographic Boundary File (KML), Unified School District for New...

    • catalog.data.gov
    • gimi9.com
    Updated May 16, 2024
    + more versions
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division (Point of Contact) (2024). 2023 Cartographic Boundary File (KML), Unified School District for New Mexico, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2023-cartographic-boundary-file-kml-unified-school-district-for-new-mexico-1-500000
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    Dataset updated
    May 16, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    New Mexico
    Description

    The 2023 cartographic boundary KMLs 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. School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from state officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to states and school districts. The cartographic boundary files include separate files for elementary, secondary and unified school districts. The generalized school district boundaries in this file are based on those in effect for the 2022-2023 school year, i.e., in operation as of January 1, 2023.

  13. u

    Earth Data Analysis Center

    • gstore.unm.edu
    csv, geojson, gml +5
    + more versions
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    Earth Data Analysis Center, Earth Data Analysis Center [Dataset]. http://gstore.unm.edu/apps/rgis/datasets/c3547dbb-767b-4f73-bd9c-3fb7aa109c17/metadata/FGDC-STD-001-1998.html
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    kml(5), csv(5), xls(5), gml(5), geojson(5), json(5), shp(5), zip(1)Available download formats
    Dataset provided by
    Earth Data Analysis Center
    Time period covered
    Oct 1, 2002
    Area covered
    West Bounding Coordinate -109.050170898437 East Bounding Coordinate -103.001960754395 North Bounding Coordinate 37.0002937316895 South Bounding Coordinate 31.3321723937988, New Mexico
    Description

    This dataset contains the New Mexico House District Boundaries as of July 2006. It is in a vector digital shapefile created to show the voting precinct coverage for New Mexico and the scale is unknown. The source software was shapefile provided by the Office of the NM Secretary of State. The precinct map was obtained from the NM Secretary of State's office as a composite of the voting precincts and the house and senate legislative boundaries, and then dissolved on the house attribute.

  14. c

    California Public Schools and Districts Map

    • gis.data.ca.gov
    • data.ca.gov
    • +2more
    Updated Oct 24, 2018
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    California Department of Education (2018). California Public Schools and Districts Map [Dataset]. https://gis.data.ca.gov/maps/169b581b560d4150b03ce84502fa5c72
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    Dataset updated
    Oct 24, 2018
    Dataset authored and provided by
    California Department of Education
    License

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

    Area covered
    Description

    This web map displays the California Department of Education's (CDE) core set of geographic data layers. This content represents the authoritative source for all statewide public school site locations and school district service areas boundaries for the 2018-19 academic year. The map also includes school and district layers enriched with student demographic and performance information from the California Department of Education's data collections. These data elements add meaningful statistical and descriptive information that can be visualized and analyzed on a map and used to advance education research or inform decision making.

  15. a

    New Hampshire Congressional District Boundaries - 2022

    • hub.arcgis.com
    • nhgeodata.unh.edu
    • +2more
    Updated Feb 2, 2023
    + more versions
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    New Hampshire GRANIT GIS Clearinghouse (2023). New Hampshire Congressional District Boundaries - 2022 [Dataset]. https://hub.arcgis.com/maps/NHGRANIT::new-hampshire-congressional-district-boundaries-2022
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    Dataset updated
    Feb 2, 2023
    Dataset authored and provided by
    New Hampshire GRANIT GIS Clearinghouse
    Area covered
    Description

    The New Hampshire Congressional District Boundaries, 2022, contains the US district boundaries generated based on the 2020 US Census population count. Boundaries were derived by applying district codes retrieved from the NH Secretary of State web site to the geometry provided by the GRANIT town boundary layer (PBNH).

  16. N

    New Mexico Senate District Boundaries

    • catalog.newmexicowaterdata.org
    csv, geojson, xml
    Updated Oct 27, 2023
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    EDAC (2023). New Mexico Senate District Boundaries [Dataset]. https://catalog.newmexicowaterdata.org/dataset/nm-senate-boundaries
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    geojson(6103067), csv, xml(21437), geojson(6081348)Available download formats
    Dataset updated
    Oct 27, 2023
    Dataset provided by
    EDAC
    License

    Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
    License information was derived automatically

    Area covered
    New Mexico
    Description

    Boundaries for the New Mexico State Senate Districts for the 2012 through 2020 election cycles.

  17. C

    Boundaries - State Congressional Districts (Senate)

    • data.cityofchicago.org
    • datadiscoverystudio.org
    • +3more
    csv, xlsx, xml
    Updated Dec 22, 2010
    + more versions
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    City of Chicago (2010). Boundaries - State Congressional Districts (Senate) [Dataset]. https://data.cityofchicago.org/Facilities-Geographic-Boundaries/Boundaries-State-Congressional-Districts-Senate-/3zsw-bmta
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    xml, xlsx, csvAvailable download formats
    Dataset updated
    Dec 22, 2010
    Dataset authored and provided by
    City of Chicago
    Description

    State of Illinois Senate Congressional district boundaries in Chicago. To view or use these files, compression software and special GIS software, such as ESRI ArcGIS, is required

  18. School District Boundaries - Current

    • hub.arcgis.com
    • catalog.data.gov
    • +1more
    Updated Mar 16, 2020
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    National Center for Education Statistics (2020). School District Boundaries - Current [Dataset]. https://hub.arcgis.com/datasets/95738ddb2b784336a60aff23312ff480
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    Dataset updated
    Mar 16, 2020
    Dataset authored and provided by
    National Center for Education Statisticshttps://nces.ed.gov/
    License

    https://resources.data.gov/open-licenses/https://resources.data.gov/open-licenses/

    Area covered
    Description

    The National Center for Education Statistics’ (NCES) Education Demographic and Geographic Estimates (EDGE) program develops annually updated school district boundary composite files that include public elementary, secondary, and unified school district boundaries clipped to the U.S. shoreline. School districts are special-purpose governments and administrative units designed by state and local officials to organize and provide public education for local residents. District boundaries are collected for NCES by the U.S. Census Bureau to support educational research and program administration, and the boundaries are essential for constructing district-level estimates of the number of children in poverty.The Census Bureau’s School District Review Program (SDRP) (https://www.census.gov/programs-surveys/sdrp.html) obtains the boundaries, names, and grade ranges from state officials, and integrates these updates into Census TIGER. Census TIGER boundaries include legal maritime buffers for coastal areas by default, but the NCES composite file removes these buffers to facilitate broader use and cleaner cartographic representation. The inputs for this data layer were developed from Census TIGER/Line 2024 and represent boundaries reported for the 2023-2024 school year. For more information about NCES school district boundary data, see: https://nces.ed.gov/programs/edge/Geographic/DistrictBoundaries.Collections are available for the following years:SY 2022-23 TL 23SY 2021-22 TL 22SY 2020-21 TL 21SY 2019-20 TL 20SY 2018-19 TL 19SY 2017-18 TL 18SY 2015-16 TL 17SY 2015-16 TL 16SY 2013-14 TL 15SY 2013-14 TL 14All information contained in this file is in the public domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data.

  19. California School District Areas 2023-24

    • gis.data.ca.gov
    • data.ca.gov
    • +2more
    Updated Jul 10, 2024
    + more versions
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    California Department of Education (2024). California School District Areas 2023-24 [Dataset]. https://gis.data.ca.gov/datasets/CDEGIS::california-school-district-areas-2023-24
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    Dataset updated
    Jul 10, 2024
    Dataset authored and provided by
    California Department of Educationhttps://www.cde.ca.gov/
    Area covered
    Description

    This layer serves as the authoritative geographic data source for all school district area boundaries in California. School districts are single purpose governmental units that operate schools and provide public educational services to residents within geographically defined areas. Agencies considered school districts that do not use geographically defined service areas to determine enrollment are excluded from this data set. In order to view districts represented as point locations, please see the "California School District Offices" layer. The school districts in this layer are enriched with additional district-level attribute information from the California Department of Education's data collections. These data elements add meaningful statistical and descriptive information that can be visualized and analyzed on a map and used to advance education research or inform decision making.School districts are categorized as either elementary (primary), high (secondary) or unified based on the general grade range of the schools operated by the district. Elementary school districts provide education to the lower grade/age levels and the high school districts provide education to the upper grade/age levels while unified school districts provide education to all grade/age levels in their service areas. Boundaries for the elementary, high and unified school district layers are combined into a single file. The resulting composite layer includes areas of overlapping boundaries since elementary and high school districts each serve a different grade range of students within the same territory. The 'DistrictType' field can be used to filter and display districts separately by type.Boundary lines are maintained by the California Department of Education (CDE) and are effective in the 2023-24 academic year . The CDE works collaboratively with the US Census Bureau to update and maintain boundary information as part of the federal School District Review Program (SDRP). The Census Bureau uses these school district boundaries to develop annual estimates of children in poverty to help the U.S. Department of Education determine the annual allocation of Title I funding to states and school districts. The National Center for Education Statistics (NCES) also uses the school district boundaries to develop a broad collection of district-level demographic estimates from the Census Bureau’s American Community Survey (ACS).The school district enrollment and demographic information are based on student enrollment counts collected on Fall Census Day (first Wednesday in October) in the 2023-24 academic year. These data elements are collected by the CDE through the California Longitudinal Achievement System (CALPADS) and can be accessed as publicly downloadable files from the Data & Statistics web page on the CDE website https://www.cde.ca.gov/ds.

  20. 2022 Cartographic Boundary File (SHP), Current State Legislative...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Dec 14, 2023
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    2022 Cartographic Boundary File (SHP), Current State Legislative District-Lower Chamber for New Hampshire, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2022-cartographic-boundary-file-shp-current-state-legislative-district-lower-chamber-for-new-ha
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    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    New Hampshire's 1st Congressional District
    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. 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, Illinois, Louisiana, New Hampshire, Wisconsin, 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 as a single SLD for purposes of data presentation. The generarlized boundaries in this file are based on the most recent state legislative district boundaries collected by the Census Bureau for the 2022 election year and provided by state-level participants through the RDP.

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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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Data from: Congressional Districts

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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

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