100+ datasets found
  1. United States Census Regions 2022

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Sep 14, 2022
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    U.S. Census Bureau (2022). United States Census Regions 2022 [Dataset]. https://koordinates.com/layer/110430-united-states-census-regions-2022/
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    geopackage / sqlite, shapefile, pdf, mapinfo tab, mapinfo mif, kml, dwg, csv, geodatabaseAvailable download formats
    Dataset updated
    Sep 14, 2022
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    U.S. Census Bureau
    Area covered
    United States,
    Description

    Census Current (2022) Legal and Statistical Entities Web Map Service; January 1, 2022 vintage.

    Census Regions are groupings of states and the District of Columbia that subdivide the United States for the presentation of census data. There are four census regions-Northeast, Midwest, South, and West. Each of the four census regions is divided into two or more census divisions. Puerto Rico and the Island Areas are not part of any census region or census division.

  2. a

    Census Divisions 2010

    • ceic-mtdoc.opendata.arcgis.com
    • hub.arcgis.com
    Updated Jun 18, 2012
    + more versions
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    Montana Department of Commerce (2012). Census Divisions 2010 [Dataset]. https://ceic-mtdoc.opendata.arcgis.com/maps/514430e48bc04b449bc62d40695c72c2
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    Dataset updated
    Jun 18, 2012
    Dataset authored and provided by
    Montana Department of Commerce
    Area covered
    Description

    2010 Census include the following subjects: Population Race Housing Units Housing Occupancy 2010 Census data are available for state, reservation, county, place, tract, block and block group. Source: U.S. Census Bureau, 2010 Census

  3. United States Census County Subdivisions 2022

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Sep 14, 2022
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    U.S. Census Bureau (2022). United States Census County Subdivisions 2022 [Dataset]. https://koordinates.com/layer/110434-united-states-census-county-subdivisions-2022/
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    mapinfo mif, geodatabase, dwg, csv, shapefile, geopackage / sqlite, kml, mapinfo tab, pdfAvailable download formats
    Dataset updated
    Sep 14, 2022
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    U.S. Census Bureau
    Area covered
    United States,
    Description

    Census Current (2022) Legal and Statistical Entities Web Map Service; January 1, 2022 vintage.

    County Subdivisions are the primary divisions of counties and equivalent entities. They include census county divisions, census subareas, minor civil divisions, and unorganized territories, and can be classified as either legal or statistical. Legal entities are termed minor civil divisions and statistical entities can be either census county divisions, census subareas, or unorganized territories.

    Minor Civil Divisions (MCDs) are the primary governmental or administrative divisions of a county in many states (parishes in Louisiana) and of the county equivalents in Puerto Rico and the Island Areas. MCDs in the United States, Puerto Rico, and the Island Areas represent many different kinds of legal entities with a wide variety of governmental and/or administrative functions. MCDs include areas variously designated as barrios, barrios-pueblo, boroughs, charter townships, commissioner districts, election districts, election precincts, gores, grants, locations, magisterial districts, parish governing authority districts, plantations, purchases, reservations, supervisor's districts, towns, and townships. The Census Bureau recognizes MCDs in 29 states, Puerto Rico, and the Island Areas. The District of Columbia has no primary divisions, and is considered equivalent to an MCD for statistical purposes.

    In some states, all or some incorporated places are not part of any MCD; these places are termed independent places. In nine states-Maine, Massachusetts, New Hampshire, New Jersey, North Dakota, Pennsylvania, Rhode Island, South Dakota, and Wisconsin-all incorporated places are independent places. In other states, incorporated places are part of, or dependent within, the MCDs in which they are located, or the pattern is mixed-some incorporated places are independent of MCDs and others are included within one or more MCDs.

    In New York and Maine, American Indian reservations (AIRs) generally exist outside the jurisdiction of any town (MCD) and thus also serve as the equivalent of MCDs for purposes of data presentation.

    In states with legal MCDs, the Census Bureau assigns a default FIPS county subdivision code of 00000 and ANSI code of eight zeroes in some coastal, territorial sea, and Great Lakes water where county subdivisions do not extend into the Great Lakes or out to the three-mile limit.

    Census County Divisions (CCDs) are areas delineated by the Census Bureau in cooperation with state, tribal, and local officials for statistical purposes. CCDs have no legal function and are not governmental units. CCD boundaries usually follow visible features and usually coincide with census tract boundaries. The name of each CCD is based on a place, county, or well-known local name that identifies its location.

    Census Subareas are statistical subdivisions of boroughs, city and boroughs, municipalities, and census areas, the statistical equivalent entities for counties in Alaska. The state of Alaska and the Census Bureau cooperatively delineate the census subareas to serve as the statistical equivalents of MCDs.

    Unorganized Territories (UTs) are defined by the Census Bureau in nine MCD states where portions of counties or equivalent entities are not included in any legally established MCD or incorporated place. The Census Bureau recognizes such separate pieces of territory as one or more separate county subdivisions for census purposes. It assigns each unorganized territory a descriptive name, followed by the designation "UT".

  4. United States Census Divisions 2022

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Sep 14, 2022
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    U.S. Census Bureau (2022). United States Census Divisions 2022 [Dataset]. https://koordinates.com/layer/110429-united-states-census-divisions-2022/
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    pdf, kml, geodatabase, csv, dwg, mapinfo mif, geopackage / sqlite, mapinfo tab, shapefileAvailable download formats
    Dataset updated
    Sep 14, 2022
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    U.S. Census Bureau
    Area covered
    United States,
    Description

    Census Current (2022) Legal and Statistical Entities Web Map Service; January 1, 2022 vintage.

    Census Divisions are groupings of states and the District of Columbia that are subdivisions of the four census regions. There are nine census divisions established by the U.S. Census Bureau Puerto Rico and the Island Areas are not part of any census region or census division.

  5. d

    Census Tracts in 1930

    • catalog.data.gov
    • opendata.dc.gov
    • +2more
    Updated Feb 5, 2025
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    D.C. Office of the Chief Technology Officer (2025). Census Tracts in 1930 [Dataset]. https://catalog.data.gov/dataset/census-tracts-in-1930
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    Dataset updated
    Feb 5, 2025
    Dataset provided by
    D.C. Office of the Chief Technology Officer
    Description

    Census Year 1930 Census Tracts. The dataset contains polygons representing CY 1930 census tracts, created as part of the D.C. Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. Census tracts were identified from maps provided by the U.S. Census Bureau and the D.C. Office of Planning. The tract polygons were created by selecting street arcs from the WGIS planimetric street centerlines. Where necessary, polygons were also heads-up digitized from 1995/1999 orthophotographs. METADATA CONTENT IS IN PROCESS OF VALIDATION AND SUBJECT TO CHANGE.

  6. c

    U.S. Census Blocks

    • geospatial.gis.cuyahogacounty.gov
    • colorado-river-portal.usgs.gov
    • +5more
    Updated Jun 30, 2021
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    Esri U.S. Federal Datasets (2021). U.S. Census Blocks [Dataset]. https://geospatial.gis.cuyahogacounty.gov/maps/fedmaps::u-s-census-blocks-1
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    Dataset updated
    Jun 30, 2021
    Dataset authored and provided by
    Esri U.S. Federal Datasets
    License

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

    Area covered
    Description

    U.S. Census BlocksThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Census Bureau (USCB), displays Census Blocks in the United States. A brief description of Census Blocks, per USCB, is that "Census blocks are statistical areas bounded by visible features such as roads, streams, and railroad tracks, and by nonvisible boundaries such as property lines, city, township, school district, county limits and short line-of-sight extensions of roads." Also, "the smallest level of geography you can get basic demographic data for, such as total population by age, sex, and race."Census Block 1007Data currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (Census Blocks) and will support mapping, analysis, data exports and OGC API – Feature access.NGDAID: 69 (Series Information for 2020 Census Block State-based TIGER/Line Shapefiles, Current)OGC API Features Link: (U.S. Census Blocks - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: What are census blocksFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Governmental Units, and Administrative and Statistical Boundaries Theme Community. Per the Federal Geospatial Data Committee (FGDC), this theme is defined as the "boundaries that delineate geographic areas for uses such as governance and the general provision of services (e.g., states, American Indian reservations, counties, cities, towns, etc.), administration and/or for a specific purpose (e.g., congressional districts, school districts, fire districts, Alaska Native Regional Corporations, etc.), and/or provision of statistical data (census tracts, census blocks, metropolitan and micropolitan statistical areas, etc.). Boundaries for these various types of geographic areas are either defined through a documented legal description or through criteria and guidelines. Other boundaries may include international limits, those of federal land ownership, the extent of administrative regions for various federal agencies, as well as the jurisdictional offshore limits of U.S. sovereignty. Boundaries associated solely with natural resources and/or cultural entities are excluded from this theme and are included in the appropriate subject themes."For other NGDA Content: Esri Federal Datasets

  7. a

    USA Zip & Census Tracts

    • austin.hub.arcgis.com
    Updated Feb 10, 2024
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    City of Austin (2024). USA Zip & Census Tracts [Dataset]. https://austin.hub.arcgis.com/maps/10eb60e660fd4b72b62cd9fdf8cf7769
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    Dataset updated
    Feb 10, 2024
    Dataset authored and provided by
    City of Austin
    Area covered
    Description

    This web map contains ZIP Code points, ZIP Code boundaries, and 2020 U.S. Census Tract boundaries for the United States, including all 50 states and the District of Columbia. The data is maintained by Esri Demographics (Esri DM) and sourced from ArcGIS Data and Maps, providing a comprehensive view of geographic and demographic distributions across the country. Data Layers Included:

    Census Tracts (2020) – Defined polygon boundaries containing 2020 Census population data, Census codes, and Esri Updated Demographics. These tracts serve as small, stable geographic areas used for demographic analysis. ZIP Code Points – Point-based locations representing U.S. ZIP Codes, including postal names, ZIP Code types, population estimates, and area size. The points are sourced from TomTom (March 2023) and the population estimates are from Esri Demographics. This layer is updated annually. ZIP Code Boundaries – Polygon representations of ZIP Code areas, useful for mapping service areas, jurisdictional boundaries, and demographic studies. This layer is updated annually. The boundaries are sourced from TomTom (March 2023) and the population estimates are from Esri Demographics.

    Data Source and Usage Rights: The data used in this hosted feature layer is provided via ArcGIS Data and Maps. The datasets within ArcGIS Data and Maps are subject to varying redistribution rights granted by Esri’s third-party data suppliers. Users must consult the Redistribution Rights document to determine permitted uses, applicable disclaimers, attribution requirements, and other conditions of use. This dataset may be used and redistributed with proper metadata and attribution in accordance with the Esri Master License Agreement. A downloadable layer package for 2020 Census Tracts is available here: 🔗 2020 Census Tract Layer Package Public Information Access: The Texas Public Information Act grants the public the right to access government records, except where certain exceptions apply. The public information officer may not ask why the records are requested. 🔗 Request public records online: Austin Public Information Requests This work is licensed under the Esri Master License Agreement.

  8. A

    Census Divisions - 1951

    • data.amerigeoss.org
    • datasets.ai
    • +2more
    jpeg, pdf
    Updated Jul 22, 2019
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    Canada (2019). Census Divisions - 1951 [Dataset]. https://data.amerigeoss.org/es/dataset/cd7892ab-867f-589f-98de-a17c73f9c0fb
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    pdf, jpegAvailable download formats
    Dataset updated
    Jul 22, 2019
    Dataset provided by
    Canada
    Description

    Contained within the 3rd Edition (1957) of the Atlas of Canada is a main map that shows fifteen condensed maps of geostatistical units used by the 1951 Census. The main map shows the census divisions as used in that census to gather, compile and publish many of the results of the censuses of Canada. Census divisions normally correspond to counties, but the Dominion Bureau of Statistics (which is now Statistics Canada) had to create equivalent units for counties in each of Newfoundland, Manitoba, Saskatchewan, Alberta and British Columbia. The main map has a table listing all of the census divisions. Around the main map are individual maps for each of the 15 census metropolitan areas as used in the 1951 Census. Each of these small maps shows the component municipalities in the metropolitan area and also shows the built-up area. These small maps are all at the same scale, which is about 1:650 000.

  9. d

    2019 Cartographic Boundary Shapefile, 2010 Urban Areas (UA) within 2010...

    • catalog.data.gov
    Updated Dec 3, 2020
    + more versions
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    (2020). 2019 Cartographic Boundary Shapefile, 2010 Urban Areas (UA) within 2010 County and Equivalent for Michigan, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2019-cartographic-boundary-shapefile-2010-urban-areas-ua-within-2010-county-and-equivalent-for-12
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    Dataset updated
    Dec 3, 2020
    Description

    The 2019 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. The records in this file allow users to map the parts of Urban Areas that overlap a particular county. After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the ""urban footprint."" There are two types of urban areas: urbanized areas (UAs) that contain 50,000 or more people and urban clusters (UCs) that contain at least 2,500 people, but fewer than 50,000 people (except in the U.S. Virgin Islands and Guam which each contain urban clusters with populations greater than 50,000). Each urban area is identified by a 5-character numeric census code that may contain leading zeroes. The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The generalized boundaries for counties and equivalent entities are as of January 1, 2010.

  10. 2020 Decennial Census: HF_CRTEN | Components of Coverage for Housing Units...

    • data.census.gov
    Updated Aug 15, 2022
    + more versions
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    DEC (2022). 2020 Decennial Census: HF_CRTEN | Components of Coverage for Housing Units in the United States by Census Region, Occupancy, and Tenure (DEC Decennial Post-Enumeration Survey) [Dataset]. https://data.census.gov/table/DECENNIALPES2020.HF_CRTEN?q=census+regions+of+united+states
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    Dataset updated
    Aug 15, 2022
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    DEC
    License

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

    Time period covered
    2020
    Area covered
    United States
    Description

    DSE: Dual-system estimate.A negative (positive) estimate of net coverage error indicates an undercount (overcount)..Standard errors are below the estimate..A reference map for the census regions of the United States is available at https://www2.census.gov/geo/pdfs/maps-data/maps/reference/us_regdiv.pdf.Source: U.S. Census Bureau, Decennial Statistical Studies Division, 2020 Post-Enumeration Survey (August 2022 Release).Post-Enumeration Survey estimates are subject to sampling and nonsampling errors. For information regarding data collection, definitions, sampling error, nonsampling error, and estimation methodology, see: Post-Enumeration Surveys.

  11. a

    Metro Atlanta Census Tracts (Weave Interactive Map)

    • hub.arcgis.com
    • opendata.atlantaregional.com
    • +1more
    Updated Jun 29, 2017
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    Georgia Association of Regional Commissions (2017). Metro Atlanta Census Tracts (Weave Interactive Map) [Dataset]. https://hub.arcgis.com/documents/ad68d74f8acf49169ad9bc185dcf2552
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    Dataset updated
    Jun 29, 2017
    Dataset provided by
    The Georgia Association of Regional Commissions
    Authors
    Georgia Association of Regional Commissions
    License

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

    Area covered
    Description

    This interactive map is updated continually and shows more than 800 variables at the neighborhood level (using the 2010 Census Tract geography boundaries). The data comes from various sources such as the U.S. Census Bureau’s 2010 Decennial Census, the U.S. Census Bureau’s latest American Community Survey five-year product (currently 2011-2015), Georgia Department of Public Health, and the Georgia Department of Labor. The map uses the Weave interactive platform, which allows the user to select data variables and customize related data visualizations (charts/graphs).

  12. n

    2020 US Census Geospatial TIGER/Line Data

    • nconemap.gov
    Updated Jul 8, 2021
    + more versions
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    NC OneMap / State of North Carolina (2021). 2020 US Census Geospatial TIGER/Line Data [Dataset]. https://www.nconemap.gov/documents/715f54a7c3c14cb08b3a2a5b78dbcea4
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    Dataset updated
    Jul 8, 2021
    Dataset authored and provided by
    NC OneMap / State of North Carolina
    License

    https://www.nconemap.gov/pages/termshttps://www.nconemap.gov/pages/terms

    Area covered
    United States
    Description

    The 2020 TIGER/Line Shapefiles contain current geographic extent and boundaries of both legal and statistical entities (which have no governmental standing) for the United States, the District of Columbia, Puerto Rico, and the Island areas. This vintage includes boundaries of governmental units that match the data from the surveys that use 2020 geography (e.g., 2020 Population Estimates and the 2020 American Community Survey). In addition to geographic boundaries, the 2020 TIGER/Line Shapefiles also include geographic feature shapefiles and relationship files. Feature shapefiles represent the point, line and polygon features in the MTDB (e.g., roads and rivers). Relationship files contain additional attribute information users can join to the shapefiles. Both the feature shapefiles and relationship files reflect updates made in the database through September 2020. To see how the geographic entities, relate to one another, please see our geographic hierarchy diagrams here.Census Urbanized Areashttps://www2.census.gov/geo/tiger/TIGER2020/UACCensus Urban/Rural Census Block Shapefileshttps://www.census.gov/cgi-bin/geo/shapefiles/index.php2020 TIGER/Line and Redistricting shapefiles:https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.2020.htmlTechnical documentation:https://www2.census.gov/geo/pdfs/maps-data/data/tiger/tgrshp2020/TGRSHP2020_TechDoc.pdfTIGERweb REST Services:https://tigerweb.geo.census.gov/tigerwebmain/TIGERweb_restmapservice.htmlTIGERweb WMS Services:https://tigerweb.geo.census.gov/tigerwebmain/TIGERweb_wms.htmlThe legal entities included in these shapefiles are:American Indian Off-Reservation Trust LandsAmerican Indian Reservations – FederalAmerican Indian Reservations – StateAmerican Indian Tribal Subdivisions (within legal American Indian areas)Alaska Native Regional CorporationsCongressional Districts – 116th CongressConsolidated CitiesCounties and Equivalent Entities (except census areas in Alaska)Estates (US Virgin Islands only)Hawaiian Home LandsIncorporated PlacesMinor Civil DivisionsSchool Districts – ElementarySchool Districts – SecondarySchool Districts – UnifiedStates and Equivalent EntitiesState Legislative Districts – UpperState Legislative Districts – LowerSubminor Civil Divisions (Subbarrios in Puerto Rico)The statistical entities included in these shapefiles are:Alaska Native Village Statistical AreasAmerican Indian/Alaska Native Statistical AreasAmerican Indian Tribal Subdivisions (within Oklahoma Tribal Statistical Areas)Block Groups3-5Census AreasCensus BlocksCensus County Divisions (Census Subareas in Alaska)Unorganized Territories (statistical county subdivisions)Census Designated Places (CDPs)Census TractsCombined New England City and Town AreasCombined Statistical AreasMetropolitan and Micropolitan Statistical Areas and related statistical areasMetropolitan DivisionsNew England City and Town AreasNew England City and Town Area DivisionsOklahoma Tribal Statistical AreasPublic Use Microdata Areas (PUMAs)State Designated Tribal Statistical AreasTribal Designated Statistical AreasUrban AreasZIP Code Tabulation Areas (ZCTAs)Shapefiles - Features:Address Range-FeatureAll Lines (called Edges)All RoadsArea HydrographyArea LandmarkCoastlineLinear HydrographyMilitary InstallationPoint LandmarkPrimary RoadsPrimary and Secondary RoadsTopological Faces (polygons with all geocodes)Relationship Files:Address Range-Feature NameAddress RangesFeature NamesTopological Faces – Area LandmarkTopological Faces – Area HydrographyTopological Faces – Military Installations

  13. a

    National Risk Index Census Tracts Map

    • hub.arcgis.com
    Updated Jun 11, 2021
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    FEMA AGOL (2021). National Risk Index Census Tracts Map [Dataset]. https://hub.arcgis.com/maps/d4ca9a2ab2cb4d1ebf3d84ddcb81176d
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    Dataset updated
    Jun 11, 2021
    Dataset authored and provided by
    FEMA AGOL
    Area covered
    Description

    The National Risk Index Census Tracts Map incorporates Census tract-level vector tile layers for the Risk Index, Expected Annual Loss, Social Vulnerability, and Community Resilience. The map is used within the National Risk Index application.The National Risk Index is a dataset and online tool that helps to illustrate the communities most at risk for 18 natural hazards across the United States and territories: Avalanche, Coastal Flooding, Cold Wave, Drought, Earthquake, Hail, Heat Wave, Hurricane, Ice Storm, Landslide, Lightning, Riverine Flooding, Strong Wind, Tornado, Tsunami, Volcanic Activity, Wildfire, and Winter Weather. The National Risk Index provides Risk Index values, scores and ratings based on data for Expected Annual Loss due to natural hazards, Social Vulnerability, and Community Resilience. Separate values, scores and ratings are also provided for Expected Annual Loss, Social Vulnerability, and Community Resilience. For the Risk Index and Expected Annual Loss, values, scores and ratings can be viewed as a composite score for all hazards or individually for each of the 18 hazard types.Sources for Expected Annual Loss data include: Alaska Department of Natural Resources, Arizona State University’s (ASU) Center for Emergency Management and Homeland Security (CEMHS), California Department of Conservation, California Office of Emergency Services California Geological Survey, Colorado Avalanche Information Center, CoreLogic’s Flood Services, Federal Emergency Management Agency (FEMA) National Flood Insurance Program, Humanitarian Data Exchange (HDX), Iowa State University's Iowa Environmental Mesonet, Multi-Resolution Land Characteristics (MLRC) Consortium, National Aeronautics and Space Administration’s (NASA) Cooperative Open Online Landslide Repository (COOLR), National Earthquake Hazards Reduction Program (NEHRP), National Oceanic and Atmospheric Administration’s National Centers for Environmental Information (NCEI), National Oceanic and Atmospheric Administration's National Hurricane Center, National Oceanic and Atmospheric Administration's National Weather Service (NWS), National Oceanic and Atmospheric Administration's Office for Coastal Management, National Oceanic and Atmospheric Administration's National Geophysical Data Center, National Oceanic and Atmospheric Administration's Storm Prediction Center, Oregon Department of Geology and Mineral Industries, Pacific Islands Ocean Observing System, Puerto Rico Seismic Network, Smithsonian Institution's Global Volcanism Program, State of Hawaii’s Office of Planning’s Statewide GIS Program, U.S. Army Corps of Engineers’ Cold Regions Research and Engineering Laboratory (CRREL), U.S. Census Bureau, U.S. Department of Agriculture's (USDA) National Agricultural Statistics Service (NASS), U.S. Forest Service's Fire Modeling Institute's Missoula Fire Sciences Lab, U.S. Forest Service's National Avalanche Center (NAC), U.S. Geological Survey (USGS), U.S. Geological Survey's Landslide Hazards Program, United Nations Office for Disaster Risk Reduction (UNDRR), University of Alaska – Fairbanks' Alaska Earthquake Center, University of Nebraska-Lincoln's National Drought Mitigation Center (NDMC), University of Southern California's Tsunami Research Center, and Washington State Department of Natural Resources.Data for Social Vulnerability are provided by the Centers for Disease Control (CDC) Agency for Toxic Substances and Disease Registry (ATSDR) Social Vulnerability Index, and data for Community Resilience are provided by University of South Carolina's Hazards and Vulnerability Research Institute’s (HVRI) 2020 Baseline Resilience Indicators for Communities.The source of the boundaries for counties and Census tracts are based on the U.S. Census Bureau’s 2021 TIGER/Line shapefiles. Building value and population exposures for communities are based on FEMA’s Hazus 6.0. Agriculture values are based on the USDA 2017 Census of Agriculture.

  14. Census of Population and Housing, 2000 [United States]: 1998 Dress...

    • icpsr.umich.edu
    ascii
    Updated Jan 12, 2006
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    Census of Population and Housing, 2000 [United States]: 1998 Dress Rehearsal, P.L. 94-171 Redistricting Data, Geographic Files for 11 Counties in South Carolina, Sacramento, California, and Menominee County, Wisconsin [Dataset]. https://www.icpsr.umich.edu/web/ICPSR/studies/2913
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    asciiAvailable download formats
    Dataset updated
    Jan 12, 2006
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States. Bureau of the Census
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/2913/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/2913/terms

    Time period covered
    1998
    Area covered
    South Carolina, Columbia, Sacramento, United States, Wisconsin, California, South Carolina
    Description

    The 1998 Dress Rehearsal was conducted as a prelude to the United States Census of Population and Housing, 2000, in the following locations: (1) Columbia, South Carolina, and surrounding areas, including the town of Irmo and the counties of Chester, Chesterfield, Darlington, Fairfield, Kershaw, Lancaster, Lee, Marlboro, Newberry, Richland, and Union, (2) Sacramento, California, and (3) Menominee County, Wisconsin, including the Menominee American Indian Reservation. This collection contains map files showing various levels of geography (in the form of Census Tract Outline Maps, Voting District/State Legislative District Outline Maps, and County Block Maps), TIGER/Line digital files, and Corner Point files for the Census 2000 Dress Rehearsal sites. The Corner Point data files contain the bounding latitude and longitude coordinates for each individual map sheet of the 1998 Dress Rehearsal Public Law (P.L.) 94-171 map products. These files include a sheet identifier, minimum and maximum longitude, minimum and maximum latitude, and the map scale (integer value) for each map sheet. The latitude and longitude coordinates are in decimal degrees and expressed as integer values with six implied decimal places. There is a separate Corner Point File for each of the three map types: County Block Map, Census Tract Outline Map, and Voting District/State Legislative District Outline Map. Each of the three map file types is provided in two formats: Portable Document Format (PDF), for viewing, and Hewlett-Packard Graphics Language (HP-GL) format, for plotting. The County Block Maps show the greatest detail and the most complete set of geographic information of all the maps. These large-scale maps depict the smallest geographic entities for which the Census Bureau presents data -- the census blocks -- by displaying the features that delineate them and the numbers that identify them. These maps show the boundaries, names, and codes for American Indian/Alaska Native areas, county subdivisions, places, census tracts, and, for this series, the geographic entities that the states delineated in Phase 2, Voting District Project, of the Redistricting Data Program. The HP-GL version of the County Block Maps is broken down into index maps and map sheets. The map sheets cover a small area, and the index maps are composed of multiple map sheets, showing the entire area. The intent of the County Block Map series is to provide a map for each county on the smallest possible number of map sheets at the maximum practical scale, dependent on the area size of the county and the density of the block pattern. The latter affects the display of block numbers and feature identifiers. The Census Tract Outline Maps show the boundaries and numbers of census tracts, and name the features underlying the boundaries. These maps also show the boundaries and names of counties, county subdivisions, and places. They identify census tracts in relation to governmental unit boundaries. The mapping unit is the county. These large-format maps are produced to support the P.L. 94-171 program and all other 1998 Dress Rehearsal data tabulations. The Voting District/State Legislative District Outline Maps show the boundaries and codes for voting districts as delineated by the states in Phase 2, Voting District Project, of the Redistricting Data Program. The features underlying the voting district boundaries are shown, as well as the names of these features. Additionally, for states that submit the information, these maps show the boundaries and codes for state legislative districts and their underlying features. These maps also show the boundaries of and names of American Indian/Alaska Native areas, counties, county subdivisions, and places. The scale of the district maps is optimized to keep the number of map sheets for each area to a minimum, but the scale and number of map sheets will vary by the area size of the county and the voting districts and state legislative districts delineated by the states. The Census 2000 Dress Rehearsal TIGER/Line Files consist of line segments representing physical features and governmental and statistical boundaries. The files contain information distributed over a series of record types for the spatial objects of a county. These TIGER/Line Files are an extract of selected geographic and cartographic information from the Census TIGER (Topological

  15. Census Designated Place

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Jun 1, 2023
    + more versions
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    Esri (2023). Census Designated Place [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/esri::census-designated-place
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    Dataset updated
    Jun 1, 2023
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This layer shows total population counts by sex, age, and race groups data from the 2020 Census Demographic and Housing Characteristics. This is shown by Nation, Consolidated City, Census Designated Place, Incorporated Place boundaries. Each geography layer contains a common set of Census counts based on available attributes from the U.S. Census Bureau. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.   To see the full list of attributes available in this service, go to the "Data" tab above, and then choose "Fields" at the top right. Each attribute contains definitions, additional details, and the formula for calculated fields in the field description.Vintage of boundaries and attributes: 2020 Demographic and Housing Characteristics Table(s): P1, H1, H3, P2, P3, P5, P12, P13, P17, PCT12 (Not all lines of these DHC tables are available in this feature layer.)Data downloaded from: U.S. Census Bureau’s data.census.gov siteDate the Data was Downloaded: May 25, 2023Geography Levels included: Nation, Consolidated City, Census Designated Place, Incorporated PlaceNational Figures: included in Nation layer The United States Census Bureau Demographic and Housing Characteristics: 2020 Census Results 2020 Census Data Quality Geography & 2020 Census Technical Documentation Data Table Guide: includes the final list of tables, lowest level of geography by table and table shells for the Demographic Profile and Demographic and Housing Characteristics.News & Updates This layer is ready to be used in ArcGIS Pro, ArcGIS Online and its configurable apps, Story Maps, dashboards, Notebooks, Python, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the U.S. Census Bureau when using this data. Data Processing Notes: These 2020 Census boundaries come from the US Census TIGER geodatabases. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For Census tracts and block groups, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract and block group boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are unchanged and available as attributes within the data table (units are square meters).  The layer contains all US states, Washington D.C., and Puerto Rico. Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99). Block groups that fall within the same criteria (Block Group denoted as 0 with no area land) have also been removed.Percentages and derived counts, are calculated values (that can be identified by the "_calc_" stub in the field name). Field alias names were created based on the Table Shells file available from the Data Table Guide for the Demographic Profile and Demographic and Housing Characteristics. Not all lines of all tables listed above are included in this layer. Duplicative counts were dropped. For example, P0030001 was dropped, as it is duplicative of P0010001.To protect the privacy and confidentiality of respondents, their data has been protected using differential privacy techniques by the U.S. Census Bureau.

  16. a

    Population Density in the US 2020 Census

    • hub.arcgis.com
    • data-bgky.hub.arcgis.com
    Updated Jun 20, 2024
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    University of South Florida GIS (2024). Population Density in the US 2020 Census [Dataset]. https://hub.arcgis.com/maps/58e4ee07a0e24e28949903511506a8e4
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    Dataset updated
    Jun 20, 2024
    Dataset authored and provided by
    University of South Florida GIS
    Area covered
    Description

    This map shows population density of the United States. Areas in darker magenta have much higher population per square mile than areas in orange or yellow. Data is from the U.S. Census Bureau’s 2020 Census Demographic and Housing Characteristics. The map's layers contain total population counts by sex, age, and race groups for Nation, State, County, Census Tract, and Block Group in the United States and Puerto Rico. From the Census:"Population density allows for broad comparison of settlement intensity across geographic areas. In the U.S., population density is typically expressed as the number of people per square mile of land area. The U.S. value is calculated by dividing the total U.S. population (316 million in 2013) by the total U.S. land area (3.5 million square miles).When comparing population density values for different geographic areas, then, it is helpful to keep in mind that the values are most useful for small areas, such as neighborhoods. For larger areas (especially at the state or country scale), overall population density values are less likely to provide a meaningful measure of the density levels at which people actually live, but can be useful for comparing settlement intensity across geographies of similar scale." SourceAbout the dataYou can use this map as is and you can also modify it to use other attributes included in its layers. This map's layers contain total population counts by sex, age, and race groups data from the 2020 Census Demographic and Housing Characteristics. This is shown by Nation, State, County, Census Tract, Block Group boundaries. Each geography layer contains a common set of Census counts based on available attributes from the U.S. Census Bureau. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.Vintage of boundaries and attributes: 2020 Demographic and Housing Characteristics Table(s): P1, H1, H3, P2, P3, P5, P12, P13, P17, PCT12 (Not all lines of these DHC tables are available in this feature layer.)Data downloaded from: U.S. Census Bureau’s data.census.gov siteDate the Data was Downloaded: May 25, 2023Geography Levels included: Nation, State, County, Census Tract, Block GroupNational Figures: included in Nation layer The United States Census Bureau Demographic and Housing Characteristics: 2020 Census Results 2020 Census Data Quality Geography & 2020 Census Technical Documentation Data Table Guide: includes the final list of tables, lowest level of geography by table and table shells for the Demographic Profile and Demographic and Housing Characteristics.News & Updates This map is ready to be used in ArcGIS Pro, ArcGIS Online and its configurable apps, Story Maps, dashboards, Notebooks, Python, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the U.S. Census Bureau when using this data. Data Processing Notes: These 2020 Census boundaries come from the US Census TIGER geodatabases. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For Census tracts and block groups, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract and block group boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are unchanged and available as attributes within the data table (units are square meters).  The layer contains all US states, Washington D.C., and Puerto Rico. Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99). Block groups that fall within the same criteria (Block Group denoted as 0 with no area land) have also been removed.Percentages and derived counts, are calculated values (that can be identified by the "_calc_" stub in the field name). Field alias names were created based on the Table Shells file available from the Data Table Guide for the Demographic Profile and Demographic and Housing Characteristics. Not all lines of all tables listed above are included in this layer. Duplicative counts were dropped. For example, P0030001 was dropped, as it is duplicative of P0010001.To protect the privacy and confidentiality of respondents, their data has been protected using differential privacy techniques by the U.S. Census Bureau.

  17. 2020 Decennial Census: E_REGIONS | Net Coverage Error for the Household...

    • data.census.gov
    Updated May 19, 2022
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    DEC (2022). 2020 Decennial Census: E_REGIONS | Net Coverage Error for the Household Population in the United States by Census Region: 2020 (DEC Decennial Post-Enumeration Survey) [Dataset]. https://data.census.gov/table/DECENNIALPES2020.E_REGIONS?q=census+forms
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    Dataset updated
    May 19, 2022
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    DEC
    License

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

    Time period covered
    2020
    Area covered
    United States
    Description

    Census counts are rounded. As a result, counts may not sum to totals shown. The census count for the West Region includes additional rounding to protect the count of the resident population in the Remote Alaska Type of Enumeration Area (TEA). The PES did not evaluate the coverage of the population living in Remote Alaska..A negative (positive) estimate of net coverage error indicates an undercount (overcount)..A reference map for the census regions of the United States is available at https://www2.census.gov/geo/pdfs/maps-data/maps/reference/us_regdiv.pdf.Source: U.S. Census Bureau, Decennial Statistical Studies Division, 2020 Post-Enumeration Survey (May 2022 Release).Post-Enumeration Survey estimates are subject to sampling and nonsampling errors. For information regarding data collection, definitions, sampling error, nonsampling error, and estimation methodology, see: Post-Enumeration Surveys.

  18. TIGER: US Census Tracts

    • developers.google.com
    Updated Jan 2, 2020
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    United States Census Bureau (2020). TIGER: US Census Tracts [Dataset]. https://developers.google.com/earth-engine/datasets/catalog/TIGER_2020_TRACT
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    Dataset updated
    Jan 2, 2020
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Time period covered
    Jan 1, 2020 - Jan 2, 2020
    Area covered
    Description

    The United States Census Bureau regularly releases a geodatabase named TIGER. This dataset contains the 2020 census tracts. Tract areas vary tremendously, but in urban areas are roughly equivalent to a neighborhood. There are just over 85000 polygon features covering the United States, the District of Columbia, Puerto Rico, and the Island areas. For full technical details on all TIGER 2020 products, see the TIGER technical documentation.

  19. c

    Data from: U.S. Census Block Groups

    • geospatial.gis.cuyahogacounty.gov
    • resilience-fema.hub.arcgis.com
    • +2more
    Updated Jun 25, 2021
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    Esri U.S. Federal Datasets (2021). U.S. Census Block Groups [Dataset]. https://geospatial.gis.cuyahogacounty.gov/maps/fedmaps::u-s-census-block-groups
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    Dataset updated
    Jun 25, 2021
    Dataset authored and provided by
    Esri U.S. Federal Datasets
    License

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

    Area covered
    Description

    U.S. Census Block GroupsThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Census Bureau (USCB), displays Census block groups in the 50 states, the District of Columbia, and Puerto Rico. Per the USCB, "Block Groups (BGs) are clusters of blocks within the same census tract. Each census tract contains at least one BG, and BGs are uniquely numbered within census tracts. BGs have a valid code range of 0 through 9. BGs have the same first digit of their 4-digit census block number from the same decennial census. BGs coded 0 are intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and Great Lakes water areas. Block groups generally contain between 600 and 3,000 people. A BG usually covers a contiguous area but never crosses county or census tract boundaries. They may, however, cross the boundaries of other geographic entities like county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas".Block Group 2 - Census Tract 010400 (Santa Fe, NM area)Data version: This cached Esri federal service is checked weekly for updates from its enterprise federal source (Census Block Groups) and will support mapping, analysis, data exports and OGC API – Feature access.NGDAID: 70 (Series Information for Block Group State-based TIGER/Line Shapefiles, Current)OGC API Features Link: (U.S. Census Block Groups - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: What are census blocks?For feedback please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Governmental Units, and Administrative and Statistical Boundaries Theme Community. Per the Federal Geospatial Data Committee (FGDC), this theme is defined as the "boundaries that delineate geographic areas for uses such as governance and the general provision of services (e.g., states, American Indian reservations, counties, cities, towns, etc.), administration and/or for a specific purpose (e.g., congressional districts, school districts, fire districts, Alaska Native Regional Corporations, etc.), and/or provision of statistical data (census tracts, census blocks, metropolitan and micropolitan statistical areas, etc.). Boundaries for these various types of geographic areas are either defined through a documented legal description or through criteria and guidelines. Other boundaries may include international limits, those of federal land ownership, the extent of administrative regions for various federal agencies, as well as the jurisdictional offshore limits of U.S. sovereignty. Boundaries associated solely with natural resources and/or cultural entities are excluded from this theme and are included in the appropriate subject themes."For other NGDA Content: Esri Federal Datasets

  20. j

    Census Tracts 2018 - Block and Tract

    • data.jerseycitynj.gov
    • analyzejerseycity.opendatasoft.com
    csv, excel, geojson +1
    Updated Mar 28, 2019
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    (2019). Census Tracts 2018 - Block and Tract [Dataset]. https://data.jerseycitynj.gov/explore/dataset/census-ffiec_2018_jc_tract/
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    csv, json, geojson, excelAvailable download formats
    Dataset updated
    Mar 28, 2019
    Description

    This is a map of Jersey City Census Tracts for 2018 broken down into blocks and tracts. This map is useful for understanding the upcoming census, and for understanding other US Census data.

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U.S. Census Bureau (2022). United States Census Regions 2022 [Dataset]. https://koordinates.com/layer/110430-united-states-census-regions-2022/
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United States Census Regions 2022

Explore at:
geopackage / sqlite, shapefile, pdf, mapinfo tab, mapinfo mif, kml, dwg, csv, geodatabaseAvailable download formats
Dataset updated
Sep 14, 2022
Dataset provided by
United States Census Bureauhttp://census.gov/
Authors
U.S. Census Bureau
Area covered
United States,
Description

Census Current (2022) Legal and Statistical Entities Web Map Service; January 1, 2022 vintage.

Census Regions are groupings of states and the District of Columbia that subdivide the United States for the presentation of census data. There are four census regions-Northeast, Midwest, South, and West. Each of the four census regions is divided into two or more census divisions. Puerto Rico and the Island Areas are not part of any census region or census division.

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