100+ datasets found
  1. C

    United States Census Bureau

    • data.milwaukee.gov
    html
    Updated Jul 9, 2019
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    External Organizations (2019). United States Census Bureau [Dataset]. https://data.milwaukee.gov/dataset/united-states-census-bureau
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jul 9, 2019
    Dataset authored and provided by
    External Organizations
    License

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

    Area covered
    United States
    Description

    Starting in July, data.census.gov will be the primary way to access Census Bureau data, including upcoming releases from the 2018 American Community Survey, 2017 Economic Census, 2020 Census and more. After July 1, 2019, all new data (previously released on American FactFinder) will be released on this new data platform. (https://factfinder.census.gov/faces/nav/jsf/pages/index.xhtml)

  2. N

    Dataset for Portal, ND Census Bureau Demographics and Population...

    • neilsberg.com
    Updated Jul 24, 2024
    + more versions
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    Neilsberg Research (2024). Dataset for Portal, ND Census Bureau Demographics and Population Distribution Across Age // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/b7ae0f62-5460-11ee-804b-3860777c1fe6/
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    Dataset updated
    Jul 24, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Portal, North Dakota
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Portal population by age. The dataset can be utilized to understand the age distribution and demographics of Portal.

    Content

    The dataset constitues the following three datasets

    • Portal, ND Age Group Population Dataset: A complete breakdown of Portal age demographics from 0 to 85 years, distributed across 18 age groups
    • Portal, ND Age Cohorts Dataset: Children, Working Adults, and Seniors in Portal - Population and Percentage Analysis
    • Portal, ND Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

  3. V

    2019 US Census All Counties & County Equivalents

    • data.virginia.gov
    geojson
    Updated Nov 22, 2024
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    Other (2024). 2019 US Census All Counties & County Equivalents [Dataset]. https://data.virginia.gov/dataset/2019-us-census-all-counties-county-equivalents
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    geojson(224806786)Available download formats
    Dataset updated
    Nov 22, 2024
    Dataset authored and provided by
    Other
    Area covered
    United States
    Description

    2019 US Census All Counties and County Equivalents geospatial data

    U.S. Census Bureau; TIGER/Line Shapefiles 2019 Data accessed from: https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.2019.html

    TIGER/Line Shapefiles do not include demographic data, but they do contain geographic entity codes (GEOIDs) that can be linked to the Census Bureau’s demographic data.

    The Geographic Areas Reference Manual (GARM) describes in great detail the basic geographic entities the Census Bureau uses (https://www.census.gov/programs-surveys/acs/geography-acs.html).

    TIGER Data Products Guide (https://www.census.gov/programs-surveys/geography/guidance/tiger-data-products-guide.html)

  4. n

    United States Census

    • datacatalog.med.nyu.edu
    Updated Jul 17, 2018
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    (2018). United States Census [Dataset]. https://datacatalog.med.nyu.edu/dataset/10026
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    Dataset updated
    Jul 17, 2018
    Area covered
    United States
    Description

    The Decennial Census provides population estimates and demographic information on residents of the United States.

    The Census Summary Files contain detailed tables on responses to the decennial census. Data tables in Summary File 1 provide information on population and housing characteristics, including cross-tabulations of age, sex, households, families, relationship to householder, housing units, detailed race and Hispanic or Latino origin groups, and group quarters for the total population. Summary File 2 contains data tables on population and housing characteristics as reported by housing unit.

    Researchers at NYU Langone Health can find guidance for the use and analysis of Census Bureau data on the Population Health Data Hub (listed under "Other Resources"), which is accessible only through the intranet portal with a valid Kerberos ID (KID).

  5. k

    US Census Bureau Intercensal Estimates of the Resident Population by Sex and...

    • datasource.kapsarc.org
    Updated Jan 22, 2024
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    (2024). US Census Bureau Intercensal Estimates of the Resident Population by Sex and Age [Dataset]. https://datasource.kapsarc.org/explore/dataset/united-states-us-census-bureau-intercensal-estimates-of-the-resident-population-/
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    Dataset updated
    Jan 22, 2024
    Area covered
    United States
    Description

    Intercensal estimates are produced once a decade by adjusting the existing time series of postcensal estimates for a decade to smooth the transition from one decennial census count to the next They differ from the postcensal estimates that are released annually because they rely on a formula that redistributes the difference between the April 1 postcensal estimate and April 1 census count for the end of the decade across the estimates for that decade Meanwhile, the nbsp postcensal estimates nbsp incorporate current data on births, deaths, and migration to produce each new vintage of estimates, and to revise estimates for years back to the last census Note Intercensal Estimates as of July 1 1 The April 1, 2000 Population Estimates base reflects changes to the Census 2000 population from the Count Question Resolution program, legal boundary updates, and other geographic program revisions 2 The data source for April 1, 2010 is the 2010 Census count 3 The values for 2010 were produced by applying estimates of change in the population between April 1 and July 1 of 2010 to the 2010 Census counts Further details on this methodology are available at http www census gov popest methodology intercensal nat meth pdf

  6. d

    Census County-equivalent boundaries in the United States

    • search.dataone.org
    • hydroshare.org
    Updated Dec 5, 2021
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    US Census Bureau TIGER/Line (2021). Census County-equivalent boundaries in the United States [Dataset]. https://search.dataone.org/view/sha256%3A4ea92c142ae8b3c6787f33560dee7852ca5e0a8f49a9ef9a56da43db06d35b81
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    Dataset updated
    Dec 5, 2021
    Dataset provided by
    Hydroshare
    Authors
    US Census Bureau TIGER/Line
    Area covered
    Description

    This shapefile describes the Census 2010 published population estimates by US County-equivalent boundaries for the United States.

    The original Census 2010 County-equivalent shapefile with Selected Demographic and Economics Data was obtained from the US Census Bureau TIGER/Line data: http://www2.census.gov/geo/tiger/TIGER2010DP1/County_2010Census_DP1.zip

    Other TIGER/Line Selected Demographic and Economics Data shapefiles can be found at the US Census Bureau TIGER/Line web portal: https://www.census.gov/geo/maps-data/data/tiger-data.html

  7. V

    Census Bureau - Detailed US demographic data

    • data.virginia.gov
    html
    Updated Feb 3, 2024
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    Other (2024). Census Bureau - Detailed US demographic data [Dataset]. https://data.virginia.gov/dataset/census-bureau-detailed-us-demographic-data
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    htmlAvailable download formats
    Dataset updated
    Feb 3, 2024
    Dataset authored and provided by
    Other
    Area covered
    United States
    Description

    The American Community Survey (ACS) is an ongoing survey that provides vital information on a yearly basis about our nation and its people by contacting over 3.5 million households across the country. The resulting data provides incredibly detailed demographic information across the US aggregated at various geographic levels which helps determine how more than $675 billion in federal and state funding are distributed each year.

  8. d

    2020 U.S. Census Block Adjustments

    • catalog.data.gov
    • data.ct.gov
    • +1more
    Updated Jun 21, 2025
    + more versions
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    data.ct.gov (2025). 2020 U.S. Census Block Adjustments [Dataset]. https://catalog.data.gov/dataset/2020-u-s-census-block-adjustments
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    Dataset updated
    Jun 21, 2025
    Dataset provided by
    data.ct.gov
    Description

    This dataset lists the total population 18 years and older by census block in Connecticut before and after population adjustments were made pursuant to Public Act 21-13. PA 21-13 creates a process to adjust the U.S. Census Bureau population data to allow for most individuals who are incarcerated to be counted at their address before incarceration. Prior to enactment of the act, these inmates were counted at their correctional facility address. The act requires the CT Office of Policy and Management (OPM) to prepare and publish the adjusted and unadjusted data by July 1 in the year after the U.S. census is taken or 30 days after the U.S. Census Bureau’s publication of the state’s data. A report documenting the population adjustment process was prepared by a team at OPM composed of the Criminal Justice Policy and Planning Division (OPM CJPPD) and the Data and Policy Analytics (DAPA) unit. The report is available here: https://portal.ct.gov/-/media/OPM/CJPPD/CjAbout/SAC-Documents-from-2021-2022/PA21-13_OPM_Summary_Report_20210921.pdf Note: On September 21, 2021, following the initial publication of the report, OPM and DOC revised the count of juveniles, reallocating 65 eighteen-year-old individuals who were incorrectly designated as being under age 18. After the DOC released the updated data to OPM, the report and this dataset were updated to reflect the revision.

  9. Census Tracts 2020

    • data.buffalony.gov
    Updated Sep 2, 2021
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    Bureau of the Census, Commerce (2021). Census Tracts 2020 [Dataset]. https://data.buffalony.gov/Government/Census-Tracts-2020/9f79-wnbd
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    tsv, csv, application/rssxml, xml, application/rdfxml, kml, kmz, application/geo+jsonAvailable download formats
    Dataset updated
    Sep 2, 2021
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    Bureau of the Census, Commerce
    License

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

    Description

    U.S. Census Bureau released the 2020 Census tracts current boundaries referenced to Jan. 1, 2020.

    Census tracts are relatively permanent small-area geographic divisions of a county or statistically equivalent entity defined for the tabulation and presentation of data from the decennial census and selected other statistical programs.

    The core TIGER/Line Files and Shapefiles do not include demographic data, but they do contain geographic entity codes (GEOIDs) that can be linked to the Census Bureau’s demographic data, available on data.census.gov.

  10. V

    Virginia Tenure by Vehicles Available by Census Block Group (ACS 5-Year)

    • data.virginia.gov
    csv
    Updated Jan 3, 2025
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    Office of INTERMODAL Planning and Investment (2025). Virginia Tenure by Vehicles Available by Census Block Group (ACS 5-Year) [Dataset]. https://data.virginia.gov/dataset/virginia-tenure-by-vehicles-available-by-census-block-group-acs-5-year
    Explore at:
    csv(11736517)Available download formats
    Dataset updated
    Jan 3, 2025
    Dataset authored and provided by
    Office of INTERMODAL Planning and Investment
    Area covered
    Virginia
    Description

    2013-2023 Virginia Tenure by Vehicles Available by Census Block Group (ACS 5-Year). Contains estimates and margins of error.

    U.S. Census Bureau; American Community Survey, American Community Survey 5-Year Estimates, Table B25044 Data accessed from: Census Bureau's API for American Community Survey (https://www.census.gov/data/developers/data-sets.html)

    The United States Census Bureau's American Community Survey (ACS): -What is the American Community Survey? (https://www.census.gov/programs-surveys/acs/about.html) -Geography & ACS (https://www.census.gov/programs-surveys/acs/geography-acs.html) -Technical Documentation (https://www.census.gov/programs-surveys/acs/technical-documentation.html)

    Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section. (https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html)

    Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section. (https://www.census.gov/acs/www/methodology/sample_size_and_data_quality/)

    Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties.

    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 roughly 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 ACS Technical Documentation https://www.census.gov/programs-surveys/acs/technical-documentation.html). The effect of nonsampling error is not represented in these tables.

  11. t

    2020 Census Geography - Datasets - Capitol Data Portal

    • data.capitol.texas.gov
    Updated Aug 17, 2021
    + more versions
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    (2021). 2020 Census Geography - Datasets - Capitol Data Portal [Dataset]. https://data.capitol.texas.gov/dataset/2020-census-geography
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    Dataset updated
    Aug 17, 2021
    License

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

    Description

    The United States Census Bureau publishes geographic units used for tabulation of the 2020 Census population data in the 2020 TIGER/Line Shapefile. The geographic units, which remain constant throughout the decade, include counties, census tracts, block groups, and blocks. Fields have been added so data formatted or published by the council can be joined to the shapefile for analysis. Each Shapefile (.shp) is in a compressed file (.zip) format. Blocks.zip - Census Blocks BlockGroups.zip - Block Groups Tracts.zip - Census Tracts Counties.zip - Counties Cities.zip - Census Places (Cities) CDPs.zip - Census Designated Places Each 'Pop' file contains the 2020 Census population for the corresponding geographic level. BlocksPop.zip - Census Blocks 2020 Census Population BlockGroupPop.zip - Census Block Groups 2020 Census Population TractsPop.zip - Census Tracts 2020 Census Population CountiesPop.zip - Counties 2020 Census Population

  12. alameda-tracts-2010

    • data.oaklandca.gov
    Updated Jan 22, 2013
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    U.S. Census Bureau (2013). alameda-tracts-2010 [Dataset]. https://data.oaklandca.gov/dataset/alameda-tracts-2010/nfb7-rv9r
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    csv, application/rdfxml, application/rssxml, kml, application/geo+json, kmz, tsv, xmlAvailable download formats
    Dataset updated
    Jan 22, 2013
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    U.S. Census Bureau
    License

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

    Area covered
    Alameda
    Description

    The Census Bureau conducts nearly one hundred surveys and censuses every year. By law, no one is permitted to reveal information from these censuses and surveys that could identify any person, household, or business. The Decennial Census collects data every 10 years about households, income, education, homeownership, and more.

  13. V

    Virginia Non-Single Occupancy Vehicle (SOV) Travel Percent by Urban Area...

    • data.virginia.gov
    csv
    Updated Jan 3, 2025
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    Office of INTERMODAL Planning and Investment (2025). Virginia Non-Single Occupancy Vehicle (SOV) Travel Percent by Urban Area (ACS 5-Year) [Dataset]. https://data.virginia.gov/dataset/virginia-non-single-occupancy-vehicle-sov-travel-percent-by-urban-area-acs-5-year
    Explore at:
    csv(53336)Available download formats
    Dataset updated
    Jan 3, 2025
    Dataset authored and provided by
    Office of INTERMODAL Planning and Investment
    Area covered
    Virginia
    Description

    2013-2023 Virginia Non-Single Occupancy Vehicle (SOV) Travel Percent by Census Urban Area. Contains estimates. Workers 16 years and over, commuting to work, who are NOT using a car, truck, or van when driving alone.

    U.S. Census Bureau; American Community Survey, American Community Survey 5-Year Estimates, Table DP03, Column DP03_0019PE Data accessed from: Census Bureau's API for American Community Survey (https://www.census.gov/data/developers/data-sets.html)

    Documentation of the method to calculate Non-SOV is provided by the Federal Highway Administration (https://www.fhwa.dot.gov/tpm/guidance/hif18024.pdf) page 38 explains the calculation of the Non-SOV Travel measure.

    Urban areas with values of -666,666,666 or 0 have blanks calculated for Non-SOV values.

    The United States Census Bureau's American Community Survey (ACS): -What is the American Community Survey? (https://www.census.gov/programs-surveys/acs/about.html) -Geography & ACS (https://www.census.gov/programs-surveys/acs/geography-acs.html) -Technical Documentation (https://www.census.gov/programs-surveys/acs/technical-documentation.html)

    Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section. (https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html)

    Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section. (https://www.census.gov/acs/www/methodology/sample_size_and_data_quality/)

    Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties.

    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 roughly 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 ACS Technical Documentation https://www.census.gov/programs-surveys/acs/technical-documentation.html). The effect of nonsampling error is not represented in these tables.

  14. General Demographics

    • data.orcities.org
    application/rdfxml +5
    Updated Jan 24, 2017
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    US Census Bureau (2017). General Demographics [Dataset]. https://data.orcities.org/w/ndmc-wwx2/default?cur=pl6XeZQqd-D&from=ccUPXMuGycH
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    csv, application/rssxml, xml, tsv, application/rdfxml, jsonAvailable download formats
    Dataset updated
    Jan 24, 2017
    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

    This City Demographics data comes from the American Community Survey 2014. This list includes information on median household income, class of employment and the type of industry city residents are employed in.

  15. V

    Census Bureau - Household Size by Vehicles Available

    • data.virginia.gov
    html
    Updated Feb 3, 2024
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    Other (2024). Census Bureau - Household Size by Vehicles Available [Dataset]. https://data.virginia.gov/dataset/census-bureau-household-size-by-vehicles-available
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Feb 3, 2024
    Dataset authored and provided by
    Other
    Description

    This link contains data and visualizations to the total number of vehicles owned by households based off the household size.

  16. US Census Bureau American Housing Survey

    • redivis.com
    application/jsonl +7
    Updated Jun 21, 2022
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    Environmental Impact Data Collaborative (2022). US Census Bureau American Housing Survey [Dataset]. https://redivis.com/datasets/keas-1k2pqhgfs
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    parquet, stata, csv, sas, avro, spss, arrow, application/jsonlAvailable download formats
    Dataset updated
    Jun 21, 2022
    Dataset provided by
    Redivis Inc.
    Authors
    Environmental Impact Data Collaborative
    Area covered
    United States
    Description

    This dataset was created by EIDC on Thu, 16 Jun 2022 14:12:12 GMT.

  17. O

    Census Variables (5-year Estimates)

    • data.mesaaz.gov
    • citydata.mesaaz.gov
    application/rdfxml +5
    Updated Mar 3, 2025
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    US Census (2025). Census Variables (5-year Estimates) [Dataset]. https://data.mesaaz.gov/Census/Census-Variables-5-year-Estimates-/9nqf-ygw6
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    csv, application/rdfxml, application/rssxml, json, tsv, xmlAvailable download formats
    Dataset updated
    Mar 3, 2025
    Dataset authored and provided by
    US Census
    Description

    Selected American Community Survey (ACS) variables from Mesa and other nearby municipalities. Visit https://www.census.gov/data/developers/data-sets/acs-5year.html for more information about the US Census Bureau's ACS ongoing survey. See https://www.census.gov/programs-surveys/acs/news/data-releases.html for data annual release schedules. This dataset uses 5-year estimates.

    Disclaimer: The centroid, internal point, and geometry columns are not consistent across years. 2023 data uses the last geometries from https://data.mesaaz.gov/Census/Mesa-Census-Tracts-To-City-Boundary-v2022/cbxq-2sd2/about_data">Mesa Census Tracts to City Boundary v2022 and calculated centroids and internal points.

  18. Economic Demographics

    • data.orcities.org
    application/rdfxml +5
    Updated Jan 9, 2017
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    US Census Bureau (2017). Economic Demographics [Dataset]. https://data.orcities.org/w/gfdb-jbxz/default?cur=IHv0esnqMF4&from=t9WPnx_Fpaj
    Explore at:
    csv, xml, json, tsv, application/rdfxml, application/rssxmlAvailable download formats
    Dataset updated
    Jan 9, 2017
    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

    Data from the American Communities Survey 2014. This data includes information on household income, city industries composition, and class of workers.

  19. US Census Population Data

    • opendata.ramseycounty.us
    application/rdfxml +5
    Updated Nov 14, 2017
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    United States Census Bureau (2017). US Census Population Data [Dataset]. https://opendata.ramseycounty.us/w/npnv-rvbk/cjij-g4h4?cur=6gVxQYghJN5
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    xml, tsv, csv, application/rdfxml, json, application/rssxmlAvailable download formats
    Dataset updated
    Nov 14, 2017
    Dataset authored and provided by
    United States Census Bureauhttp://census.gov/
    License

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

    Area covered
    United States
    Description

    This dataset outlines the U.S. census population data for Ramsey County from 2010-2015.

  20. Census Block Groups 2020

    • data.buffalony.gov
    Updated Sep 26, 2022
    + more versions
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    Bureau of the Census, Commerce (2022). Census Block Groups 2020 [Dataset]. https://data.buffalony.gov/w/ke5a-pfi5/ixf7-aa9j?cur=0raxYii3wIk
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    application/rdfxml, csv, tsv, application/geo+json, kml, xml, application/rssxml, kmzAvailable download formats
    Dataset updated
    Sep 26, 2022
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    Bureau of the Census, Commerce
    License

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

    Description

    This is a dataset of 2020 U.S. Census Block Groups within the City of Buffalo. Block Groups are statistical divisions of census tracts, are generally defined to contain between 600 and 3,000 people, and are used to present data and control block numbering. A block group consists of clusters of blocks within the same census tract that have the same first digit of their four-digit census block number. For example, blocks 3001, 3002, 3003, . . ., 3999 in census tract 1210.02 belong to BG 3 in that census tract.

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External Organizations (2019). United States Census Bureau [Dataset]. https://data.milwaukee.gov/dataset/united-states-census-bureau

United States Census Bureau

Explore at:
htmlAvailable download formats
Dataset updated
Jul 9, 2019
Dataset authored and provided by
External Organizations
License

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

Area covered
United States
Description

Starting in July, data.census.gov will be the primary way to access Census Bureau data, including upcoming releases from the 2018 American Community Survey, 2017 Economic Census, 2020 Census and more. After July 1, 2019, all new data (previously released on American FactFinder) will be released on this new data platform. (https://factfinder.census.gov/faces/nav/jsf/pages/index.xhtml)

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