100+ datasets found
  1. d

    United States Census Bureau Open Data

    • catalog.data.gov
    • hub.arcgis.com
    Updated Apr 19, 2025
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    City of Sioux Falls GIS (2025). United States Census Bureau Open Data [Dataset]. https://catalog.data.gov/dataset/united-states-census-bureau-open-data-3513f
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    Dataset updated
    Apr 19, 2025
    Dataset provided by
    City of Sioux Falls GIS
    Area covered
    United States
    Description

    Link to the Open Data site for the United States Census Bureau.

  2. P

    Census 2020 Table P2 12011 Tracts

    • data.pompanobeachfl.gov
    • geohub-bcgis.opendata.arcgis.com
    • +1more
    Updated Feb 28, 2023
    + more versions
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    External Datasets (2023). Census 2020 Table P2 12011 Tracts [Dataset]. https://data.pompanobeachfl.gov/dataset/census-2020-table-p2-12011-tracts
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    geojson, html, arcgis geoservices rest api, csv, kml, zipAvailable download formats
    Dataset updated
    Feb 28, 2023
    Dataset provided by
    cjennings_BCGIS
    Authors
    External Datasets
    Description

    2020 Census P.L. 94-171 is the first detailed data release from the 2020 Decennial Census of Population and Housing. The web layer is based on an extract for Table P2 – Hispanic or Latino, and Not Hispanic or Latino by Race at the census tract level geography of Broward County, Florida. The data extract was then joined to the 2020 Census TIGER/Line Shapefiles.

    For details on field names, table hierarchy, and table contents refer to TABLE (MATRIX) SECTION in Chapter 6. Data Dictionary, https://www2.census.gov/programs-surveys/decennial/2020/technical-documentation/complete-tech-docs/summary-file/2020Census_PL94_171Redistricting_StatesTechDoc_English.pdf" STYLE="text-decoration:underline;">2020 Census State Public Law 94-171 Summary File Technical Documentation.

  3. QuickFacts: Jacksonville city, Florida

    • census.gov
    csv
    Updated Jul 1, 2024
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    United States Census Bureau > Communications Directorate - Center for New Media and Promotion (2024). QuickFacts: Jacksonville city, Florida [Dataset]. https://www.census.gov/quickfacts/jacksonvillecityflorida
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    csvAvailable download formats
    Dataset updated
    Jul 1, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    United States Census Bureau > Communications Directorate - Center for New Media and Promotion
    License

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

    Area covered
    Florida, Jacksonville
    Description

    U.S. Census Bureau QuickFacts statistics for Jacksonville city, Florida. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

  4. Vintage 2018 Population Estimates: Demographic Characteristics Estimates by...

    • catalog.data.gov
    Updated Jul 19, 2023
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    U.S. Census Bureau (2023). Vintage 2018 Population Estimates: Demographic Characteristics Estimates by Age Groups [Dataset]. https://catalog.data.gov/dataset/vintage-2018-population-estimates-demographic-characteristics-estimates-by-age-groups
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    Dataset updated
    Jul 19, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    Annual Resident Population Estimates by Age Group, Sex, Race, and Hispanic Origin: April 1, 2010 to July 1, 2018 // Source: U.S. Census Bureau, Population Division // The contents of this file are released on a rolling basis from December through June. // Note: 'In combination' means in combination with one or more other races. The sum of the five race-in-combination groups adds to more than the total population because individuals may report more than one race. Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. Responses of 'Some Other Race' from the 2010 Census are modified. This results in differences between the population for specific race categories shown for the 2010 Census population in this file versus those in the original 2010 Census data. For more information, see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/modified-race-summary-file-method/mrsf2010.pdf. // The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. // For detailed information about the methods used to create the population estimates, see https://www.census.gov/programs-surveys/popest/technical-documentation/methodology.html. // Each year, the Census Bureau's Population Estimates Program (PEP) utilizes current data on births, deaths, and migration to calculate population change since the most recent decennial census, and produces a time series of estimates of population. The annual time series of estimates begins with the most recent decennial census data and extends to the vintage year. The vintage year (e.g., V2017) refers to the final year of the time series. The reference date for all estimates is July 1, unless otherwise specified. With each new issue of estimates, the Census Bureau revises estimates for years back to the last census. As each vintage of estimates includes all years since the most recent decennial census, the latest vintage of data available supersedes all previously produced estimates for those dates. The Population Estimates Program provides additional information including historical and intercensal estimates, evaluation estimates, demographic analysis, and research papers on its website: https://www.census.gov/programs-surveys/popest.html.

  5. US Census Bureau States And Counties Poverty Estimates 2020

    • johnsnowlabs.com
    csv
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    John Snow Labs, US Census Bureau States And Counties Poverty Estimates 2020 [Dataset]. https://www.johnsnowlabs.com/marketplace/us-census-bureau-states-and-counties-poverty-estimates-2020/
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    csvAvailable download formats
    Dataset authored and provided by
    John Snow Labs
    Time period covered
    2020
    Area covered
    United States
    Description

    This dataset contains poverty estimates at county level based on US Census Bureau program, Small Area Income and Poverty Estimates (SAIPE). The estimates are for counties and states in the United States, for the entire population and for three age groups of population.

  6. N

    2020 Census Tracts

    • data.cityofnewyork.us
    • catalog.data.gov
    Updated May 29, 2025
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    Department of City Planning (DCP) (2025). 2020 Census Tracts [Dataset]. https://data.cityofnewyork.us/City-Government/2020-Census-Tracts/63ge-mke6
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    csv, application/rssxml, tsv, kml, kmz, xml, application/rdfxml, application/geo+jsonAvailable download formats
    Dataset updated
    May 29, 2025
    Dataset authored and provided by
    Department of City Planning (DCP)
    Description

    Census Tracts from the 2020 US Census for New York City clipped to the shoreline. These boundary files are derived from the US Census Bureau's TIGER project and have been geographically modified to fit the New York City base map. Because some census tracts are under water not all census tracts are contained in this file, only census tracts that are partially or totally located on land have been mapped in this file.

    All previously released versions of this data are available at the DCP Website: BYTES of the BIG APPLE.

  7. l

    Census Geography Map

    • datalb.longbeach.gov
    • measurea-longbeachca.hub.arcgis.com
    Updated Dec 10, 2020
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    arcgis_clb (2020). Census Geography Map [Dataset]. https://datalb.longbeach.gov/maps/ba516ff88f9a4193a2951ffbcddcd0e3
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    Dataset updated
    Dec 10, 2020
    Dataset authored and provided by
    arcgis_clb
    Area covered
    Description

    This viewer contains data directly from the U.S. Census Bureau. Use this map viewer to identify 2020 Census tract, block group, or block at a location. Map is centered on the City of Long Beach and shows the City boundary as recorded in the Census incorporated places layer. Data source: https://www.census.gov/data/developers/data-sets/TIGERweb-map-service.htmlAbout Census Tracts: https://www.census.gov/programs-surveys/geography/about/glossary.html#par_textimage_13About Census Block Groups: https://www.census.gov/programs-surveys/geography/about/glossary.html#par_textimage_4About Census Blocks: https://www.census.gov/programs-surveys/geography/about/glossary.html#par_textimage_5

  8. T

    Vital Signs: Poverty - by metro (2022)

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Jan 3, 2023
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    (2023). Vital Signs: Poverty - by metro (2022) [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Poverty-by-metro-2022-/bnmj-wqz3
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    application/rssxml, csv, application/rdfxml, tsv, json, xmlAvailable download formats
    Dataset updated
    Jan 3, 2023
    Description

    VITAL SIGNS INDICATOR
    Poverty (EQ5)

    FULL MEASURE NAME
    The share of the population living in households that earn less than 200 percent of the federal poverty limit

    LAST UPDATED
    January 2023

    DESCRIPTION
    Poverty refers to the share of the population living in households that earn less than 200 percent of the federal poverty limit, which varies based on the number of individuals in a given household. It reflects the number of individuals who are economically struggling due to low household income levels.

    DATA SOURCE
    U.S Census Bureau: Decennial Census - http://www.nhgis.org
    1980-2000

    U.S. Census Bureau: American Community Survey - https://data.census.gov/
    2007-2021
    Form C17002

    CONTACT INFORMATION
    vitalsigns.info@mtc.ca.gov

    METHODOLOGY NOTES (across all datasets for this indicator)
    The U.S. Census Bureau defines a national poverty level (or household income) that varies by household size, number of children in a household, and age of householder. The national poverty level does not vary geographically even though cost of living is different across the United States. For the Bay Area, where cost of living is high and incomes are correspondingly high, an appropriate poverty level is 200% of poverty or twice the national poverty level, consistent with what was used for past equity work at MTC and ABAG. For comparison, however, both the national and 200% poverty levels are presented.

    For Vital Signs, the poverty rate is defined as the number of people (including children) living below twice the poverty level divided by the number of people for whom poverty status is determined. The household income definitions for poverty change each year to reflect inflation. The official poverty definition uses money income before taxes and does not include capital gains or non-cash benefits (such as public housing, Medicaid and food stamps).

    For the national poverty level definitions by year, see: US Census Bureau Poverty Thresholds - https://www.census.gov/data/tables/time-series/demo/income-poverty/historical-poverty-thresholds.html.

    For an explanation on how the Census Bureau measures poverty, see: How the Census Bureau Measures Poverty - https://www.census.gov/topics/income-poverty/poverty/guidance/poverty-measures.html.

    American Community Survey (ACS) 1-year data is used for larger geographies – Bay counties and most metropolitan area counties – while smaller geographies rely upon 5-year rolling average data due to their smaller sample sizes. Note that 2020 data uses the 5-year estimates because the ACS did not collect 1-year data for 2020.

    To be consistent across metropolitan areas, the poverty definition for non-Bay Area metros is twice the national poverty level. Data were not adjusted for varying income and cost of living levels across the metropolitan areas.

  9. QuickFacts: Clay County, Texas

    • census.gov
    • usatrade.census.gov
    • +1more
    csv
    Updated Jul 1, 2024
    + more versions
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    United States Census Bureau > Communications Directorate - Center for New Media and Promotion (2024). QuickFacts: Clay County, Texas [Dataset]. https://www.census.gov/quickfacts/geo/chart/claycountytexas/AGE295223
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 1, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    United States Census Bureau > Communications Directorate - Center for New Media and Promotion
    License

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

    Area covered
    Clay County, Texas
    Description

    U.S. Census Bureau QuickFacts statistics for Clay County, Texas. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

  10. Vital Signs: Population – by metro

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Oct 31, 2019
    + more versions
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    U.S. Census Bureau (2019). Vital Signs: Population – by metro [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Population-by-metro/biyu-iyzv
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    csv, xml, tsv, json, application/rdfxml, application/rssxmlAvailable download formats
    Dataset updated
    Oct 31, 2019
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    U.S. Census Bureau
    Description

    VITAL SIGNS INDICATOR Population (LU1)

    FULL MEASURE NAME Population estimates

    LAST UPDATED October 2019

    DESCRIPTION Population is a measurement of the number of residents that live in a given geographical area, be it a neighborhood, city, county or region.

    DATA SOURCES U.S Census Bureau: Decennial Census No link available (1960-1990) http://factfinder.census.gov (2000-2010)

    California Department of Finance: Population and Housing Estimates Table E-6: County Population Estimates (1961-1969) Table E-4: Population Estimates for Counties and State (1971-1989) Table E-8: Historical Population and Housing Estimates (2001-2018) Table E-5: Population and Housing Estimates (2011-2019) http://www.dof.ca.gov/Forecasting/Demographics/Estimates/

    U.S. Census Bureau: Decennial Census - via Longitudinal Tract Database Spatial Structures in the Social Sciences, Brown University Population Estimates (1970 - 2010) http://www.s4.brown.edu/us2010/index.htm

    U.S. Census Bureau: American Community Survey 5-Year Population Estimates (2011-2017) http://factfinder.census.gov

    U.S. Census Bureau: Intercensal Estimates Estimates of the Intercensal Population of Counties (1970-1979) Intercensal Estimates of the Resident Population (1980-1989) Population Estimates (1990-1999) Annual Estimates of the Population (2000-2009) Annual Estimates of the Population (2010-2017) No link available (1970-1989) http://www.census.gov/popest/data/metro/totals/1990s/tables/MA-99-03b.txt http://www.census.gov/popest/data/historical/2000s/vintage_2009/metro.html https://www.census.gov/data/datasets/time-series/demo/popest/2010s-total-metro-and-micro-statistical-areas.html

    CONTACT INFORMATION vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator) All legal boundaries and names for Census geography (metropolitan statistical area, county, city, and tract) are as of January 1, 2010, released beginning November 30, 2010, by the U.S. Census Bureau. A Priority Development Area (PDA) is a locally-designated area with frequent transit service, where a jurisdiction has decided to concentrate most of its housing and jobs growth for development in the foreseeable future. PDA boundaries are current as of August 2019. For more information on PDA designation see http://gis.abag.ca.gov/website/PDAShowcase/.

    Population estimates for Bay Area counties and cities are from the California Department of Finance, which are as of January 1st of each year. Population estimates for non-Bay Area regions are from the U.S. Census Bureau. Decennial Census years reflect population as of April 1st of each year whereas population estimates for intercensal estimates are as of July 1st of each year. Population estimates for Bay Area tracts are from the decennial Census (1970 -2010) and the American Community Survey (2008-2012 5-year rolling average; 2010-2014 5-year rolling average; 2013-2017 5-year rolling average). Estimates of population density for tracts use gross acres as the denominator.

    Population estimates for Bay Area PDAs are from the decennial Census (1970 - 2010) and the American Community Survey (2006-2010 5 year rolling average; 2010-2014 5-year rolling average; 2013-2017 5-year rolling average). Population estimates for PDAs are derived from Census population counts at the tract level for 1970-1990 and at the block group level for 2000-2017. Population from either tracts or block groups are allocated to a PDA using an area ratio. For example, if a quarter of a Census block group lies with in a PDA, a quarter of its population will be allocated to that PDA. Tract-to-PDA and block group-to-PDA area ratios are calculated using gross acres. Estimates of population density for PDAs use gross acres as the denominator.

    Annual population estimates for metropolitan areas outside the Bay Area are from the Census and are benchmarked to each decennial Census. The annual estimates in the 1990s were not updated to match the 2000 benchmark.

    The following is a list of cities and towns by geographical area: Big Three: San Jose, San Francisco, Oakland Bayside: Alameda, Albany, Atherton, Belmont, Belvedere, Berkeley, Brisbane, Burlingame, Campbell, Colma, Corte Madera, Cupertino, Daly City, East Palo Alto, El Cerrito, Emeryville, Fairfax, Foster City, Fremont, Hayward, Hercules, Hillsborough, Larkspur, Los Altos, Los Altos Hills, Los Gatos, Menlo Park, Mill Valley, Millbrae, Milpitas, Monte Sereno, Mountain View, Newark, Pacifica, Palo Alto, Piedmont, Pinole, Portola Valley, Redwood City, Richmond, Ross, San Anselmo, San Bruno, San Carlos, San Leandro, San Mateo, San Pablo, San Rafael, Santa Clara, Saratoga, Sausalito, South San Francisco, Sunnyvale, Tiburon, Union City, Vallejo, Woodside Inland, Delta and Coastal: American Canyon, Antioch, Benicia, Brentwood, Calistoga, Clayton, Cloverdale, Concord, Cotati, Danville, Dixon, Dublin, Fairfield, Gilroy, Half Moon Bay, Healdsburg, Lafayette, Livermore, Martinez, Moraga, Morgan Hill, Napa, Novato, Oakley, Orinda, Petaluma, Pittsburg, Pleasant Hill, Pleasanton, Rio Vista, Rohnert Park, San Ramon, Santa Rosa, Sebastopol, Sonoma, St. Helena, Suisun City, Vacaville, Walnut Creek, Windsor, Yountville Unincorporated: all unincorporated towns

  11. USA Census Populated Place Areas

    • atlas.eia.gov
    • prep-response-portal.napsgfoundation.org
    • +8more
    Updated May 5, 2022
    + more versions
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    Esri (2022). USA Census Populated Place Areas [Dataset]. https://atlas.eia.gov/datasets/d8e6e822e6b44d80b4d3b5fe7538576d
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    Dataset updated
    May 5, 2022
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    U.S. Census Populated Place Areas represents the 2020 U.S. Census populated place areas of the United States that include incorporated places, cities, and census designated places identified by the U.S. Census Bureau.This layer is updated annually. The geography is sourced from U.S. Census Bureau 2020 TIGER FGDB (National Sub-State) and edited using TIGER Hydrography to add a detailed coastline for cartographic purposes. Attribute fields include 2020 total population from the U.S. Census Public Law 94 data. The Population Class field values represent population ranges as follows:Population from 0 - 249Population from 250 - 499Population from 500 - 999Population from 1,000 - 2,499Population from 2,500 - 9,999Population from 10,000 - 49,999Population from 50,000 - 99,999Population from 100,000 - 249,999Population from 250,000 - 499,999Population 500,000 and overThis ready-to-use layer can be used in ArcGIS Pro and in ArcGIS Online and its configurable apps, dashboards, StoryMaps, custom apps, and mobile apps. The data can also be exported for offline workflows. Cite the 'U.S. Census Bureau' when using this data.

  12. Economic Census: Retail Trade: Floor Space by Selected Industry for the U.S....

    • catalog.data.gov
    • datasets.ai
    Updated Jul 19, 2023
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    U.S. Census Bureau (2023). Economic Census: Retail Trade: Floor Space by Selected Industry for the U.S. and States: 2017 [Dataset]. https://catalog.data.gov/dataset/economic-census-retail-trade-floor-space-by-selected-industry-for-the-u-s-and-states-2017
    Explore at:
    Dataset updated
    Jul 19, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    United States
    Description

    This dataset presents statistics for Retail Trade: Floor Space by Selected Industry for the U.S. and States

  13. A

    County

    • data.amerigeoss.org
    csv, esri rest +4
    Updated Jan 7, 2020
    + more versions
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    ESRI (2020). County [Dataset]. https://data.amerigeoss.org/id/dataset/county11
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    csv, html, zip, kml, geojson, esri restAvailable download formats
    Dataset updated
    Jan 7, 2020
    Dataset provided by
    ESRI
    Description

    This layer shows median earnings by occupational group. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Only full-time year-round workers included. Median earnings is based on earnings in past 12 months of survey. Occupation Groups based on Bureau of Labor Statistics (BLS)' Standard Occupation Classification (SOC).


    This layer is symbolized to show median earnings of the full-time, year-round civilian employed population. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right.

    Current Vintage: 2014-2018
    ACS Table(s): B24021
    Date of API call: December 19, 2019
    National Figures: data.census.gov

    The United States Census Bureau's American Community Survey (ACS):
    This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.

    Data Note from the Census:
    Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.

    Data Processing Notes:
    • This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.
    • Boundaries come from the US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).
    • The States layer contains 52 records - 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).
    • Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.
    • Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.
    • Negative values (e.g., -555555...) have been set to null. These negative values exist in the raw API data to indicate the following situations:
      • The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.
      • Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.
      • The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.
      • The estimate is controlled. A statistical test for sampling variability is not appropriate.
      • The data for this geographic area cannot be displayed because the number of sample cases is too small.
      • NOTE: any calculated percentages or counts that contain estimates that have null margins of error yield null margins of error for the calculated fields.

  14. Census 1970

    • data.brla.gov
    • catalog.data.gov
    Updated Apr 19, 2023
    + more versions
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    US Census Bureau (2023). Census 1970 [Dataset]. https://data.brla.gov/Government/Census-1970/md69-r9n8
    Explore at:
    application/geo+json, kml, kmz, xml, xlsx, csvAvailable download formats
    Dataset updated
    Apr 19, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    US Census Bureau
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    Polygon geometry with attributes displaying the 1970 Census tracts and respective population stats in East Baton Rouge Parish, Louisiana.

  15. P

    Census 2020 Table P5 12011 Place

    • data.pompanobeachfl.gov
    • hub.arcgis.com
    • +2more
    Updated Feb 28, 2023
    + more versions
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    External Datasets (2023). Census 2020 Table P5 12011 Place [Dataset]. https://data.pompanobeachfl.gov/dataset/census-2020-table-p5-12011-place
    Explore at:
    html, csv, kml, zip, geojson, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Feb 28, 2023
    Dataset provided by
    cjennings_BCGIS
    Authors
    External Datasets
    Description

    2020 Census P.L. 94-171 is the first detailed data release from the 2020 Decennial Census of Population and Housing. The web layer is based on an extract for Table P5 - Group Quarters Population by Group Quarters Type at the place level geography of Broward County, Florida. The data extract was then joined to the 2020 Census TIGER/Line Shapefiles.

    For details on field names, table hierarchy, and table contents refer to TABLE (MATRIX) SECTION in Chapter 6. Data Dictionary, https://www2.census.gov/programs-surveys/decennial/2020/technical-documentation/complete-tech-docs/summary-file/2020Census_PL94_171Redistricting_StatesTechDoc_English.pdf" STYLE="text-decoration:underline;">2020 Census State Public Law 94-171 Summary File Technical Documentation.

  16. d

    Language - ACS 2018-2022 - Tempe Tracts

    • datasets.ai
    • data.tempe.gov
    • +6more
    15, 21, 25, 3, 57, 8
    Updated Dec 8, 2023
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    City of Tempe (2023). Language - ACS 2018-2022 - Tempe Tracts [Dataset]. https://datasets.ai/datasets/language-acs-2018-2022-tempe-tracts
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    15, 57, 3, 8, 21, 25Available download formats
    Dataset updated
    Dec 8, 2023
    Dataset authored and provided by
    City of Tempe
    Area covered
    Tempe
    Description

    This layer shows language group of language spoken at home by age.

    Data is from US Census American Community Survey (ACS) 5-year estimates.

    This layer is symbolized to show the percentage of the population age 5+ who speak Spanish at home. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. To view only the census tracts that are predominantly in Tempe, add the expression City is Tempe in the map filter settings.

    A ‘Null’ entry in the estimate indicates that data for this geographic area cannot be displayed because the number of sample cases is too small (per the U.S. Census).

    Vintage: 2018-2022
    ACS Table(s): B16007 (Not all lines of these ACS tables are available in this feature layer.)
    Data downloaded from: Census Bureau's API for American Community Survey
    Data Preparation: Data curated from Esri Living Atlas clipped to Census Tract boundaries that are within or adjacent to the City of Tempe boundary
    Date of Census update: December 8, 2023
    National Figures: data.census.gov

  17. Vintage 2013 Population Estimates: County Total Population and Components of...

    • s.cnmilf.com
    • catalog.data.gov
    Updated Sep 1, 2023
    + more versions
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    U.S. Census Bureau (2023). Vintage 2013 Population Estimates: County Total Population and Components of Change [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/vintage-2013-population-estimates-county-total-population-and-components-of-change
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    Dataset updated
    Sep 1, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    Annual Resident Population Estimates, Estimated Components of Resident Population Change, and Rates of the Components of Resident Population Change for States and Counties: April 1, 2010 to July 1, 2013 // File: 7/1/2013 County Population Estimates // Source: U.S. Census Bureau, Population Division // Release Date: March 2014 // Note: Total population change includes a residual. This residual represents the change in population that cannot be attributed to any specific demographic component. See Population Estimates Terms and Definitions at http://www.census.gov/popest/about/terms.html. // Net international migration in the United States includes the international migration of both native and foreign-born populations. Specifically, it includes: (a) the net international migration of the foreign born, (b) the net migration between the United States and Puerto Rico, (c) the net migration of natives to and from the United States, and (d) the net movement of the Armed Forces population between the United States and overseas. // The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. See Geographic Terms and Definitions at http://www.census.gov/popest/about/geo/terms.html for a list of the states that are included in each region and division. All geographic boundaries for these population estimates are as of January 1, 2013. // For detailed information about the methods used to create the population estimates, see http://www.census.gov/popest/methodology/index.html. // Each year, the Census Bureau's Population Estimates Program (PEP) utilizes current data on births, deaths, and migration to calculate population change since the most recent decennial census, and produces a time series of estimates of population. The annual time series of estimates begins with the most recent decennial census data and extends to the vintage year. The vintage year (e.g., V2013) refers to the final year of the time series. The reference date for all estimates is July 1, unless otherwise specified. With each new issue of estimates, the Census Bureau revises estimates for years back to the last census. As each vintage of estimates includes all years since the most recent decennial census, the latest vintage of data available supersedes all previously produced estimates for those dates. The Population Estimates Program provides additional information including historical and intercensal estimates, evaluation estimates, demographic analysis, and research papers on its website: http://www.census.gov/popest/index.html.

  18. D

    Race by Age Groups (B01001A-I)

    • data.seattle.gov
    • hub.arcgis.com
    application/rdfxml +5
    Updated Oct 22, 2024
    + more versions
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    (2024). Race by Age Groups (B01001A-I) [Dataset]. https://data.seattle.gov/dataset/Race-by-Age-Groups-B01001A-I-/3uqx-3u65
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    csv, tsv, application/rssxml, json, xml, application/rdfxmlAvailable download formats
    Dataset updated
    Oct 22, 2024
    Description

    Table from the American Community Survey (ACS) B01001A-I sex by age by race - data is grouped into three age group categories for each race, under 18, 18-64 and 65 and older. These are multiple, nonoverlapping vintages of the 5-year ACS estimates of population and housing attributes starting in 2010 shown by the corresponding census tract vintage. Also includes the most recent release annually.


    Data on total number of people by each race alone and in combination by each census tract has been transposed to support dashboard visualizations.

    King County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010. Vintage identified in the "ACS Vintage" field.

    The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades.

    Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.

    Vintages: 2010, 2015, 2020, 2021, 2022, 2023
    ACS Table(s): B01001


    The United States Census Bureau's American Community Survey (ACS):
    This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.

    Data Note from the Census:
    Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.

    Data Processing Notes:
    • Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb(year)a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 'https://www2.census.gov/geo/tiger/TGRGDB20/tlgdb_2020_a_us_areawater.gdb.zip' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:inherit; margin:0px; padding:0px;' target='_blank' rel='nofollow ugc noopener noreferrer'>2020 Areal Hydrography boundaries offered by

  19. QuickFacts: Potter County, Texas

    • census.gov
    • usatrade.census.gov
    • +1more
    csv
    Updated Jan 11, 2018
    + more versions
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    United States Census Bureau > Communications Directorate - Center for New Media and Promotion (2018). QuickFacts: Potter County, Texas [Dataset]. https://www.census.gov/quickfacts/geo/chart/pottercountytexas/AGE135223
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jan 11, 2018
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    United States Census Bureau > Communications Directorate - Center for New Media and Promotion
    License

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

    Area covered
    Potter County, Texas
    Description

    U.S. Census Bureau QuickFacts statistics for Potter County, Texas. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

  20. QuickFacts: Duval County, Texas

    • census.gov
    • usatrade.census.gov
    • +1more
    csv
    Updated Jul 1, 2024
    + more versions
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    United States Census Bureau > Communications Directorate - Center for New Media and Promotion (2024). QuickFacts: Duval County, Texas [Dataset]. https://www.census.gov/quickfacts/geo/chart/duvalcountytexas/POP060220
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 1, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    United States Census Bureau > Communications Directorate - Center for New Media and Promotion
    License

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

    Area covered
    Duval County, Texas
    Description

    U.S. Census Bureau QuickFacts statistics for Duval County, Texas. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

Share
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Close
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City of Sioux Falls GIS (2025). United States Census Bureau Open Data [Dataset]. https://catalog.data.gov/dataset/united-states-census-bureau-open-data-3513f

United States Census Bureau Open Data

Explore at:
Dataset updated
Apr 19, 2025
Dataset provided by
City of Sioux Falls GIS
Area covered
United States
Description

Link to the Open Data site for the United States Census Bureau.

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