6 datasets found
  1. 2023 American Community Survey: DP05 | ACS Demographic and Housing Estimates...

    • data.census.gov
    • test.data.census.gov
    Updated Aug 15, 2021
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    ACS (2021). 2023 American Community Survey: DP05 | ACS Demographic and Housing Estimates (ACS 1-Year Estimates Data Profiles) [Dataset]. https://data.census.gov/table/ACSDP1Y2023.DP05
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    Dataset updated
    Aug 15, 2021
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ACS
    License

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

    Time period covered
    2023
    Description

    Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.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..Source: U.S. Census Bureau, 2023 American Community Survey 1-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..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). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..For more information on understanding Hispanic origin and race data, please see the America Counts: Stories Behind the Numbers article entitled, 2020 Census Illuminates Racial and Ethnic Composition of the Country, issued August 2021..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

  2. a

    tl 2023 39 tract ACSDP5Y2023 DP05 Data

    • appalachiaohio-ohiou.hub.arcgis.com
    Updated Jan 17, 2025
    + more versions
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    j_schaudt (2025). tl 2023 39 tract ACSDP5Y2023 DP05 Data [Dataset]. https://appalachiaohio-ohiou.hub.arcgis.com/datasets/b1154f3701ae429983d46850ebdf6dd2
    Explore at:
    Dataset updated
    Jan 17, 2025
    Dataset authored and provided by
    j_schaudt
    Area covered
    Description

    2023 Census Tigerline tract boundaries joined with 2023 ACS 5yr Table DP05 ACS Demographic and Housing Estimates to create tract data profiles

  3. a

    tl 2023 39 sldl ACSDP5Y2023 DP05 Data

    • appalachiaohio-ohiou.hub.arcgis.com
    Updated Jan 21, 2025
    + more versions
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    j_schaudt (2025). tl 2023 39 sldl ACSDP5Y2023 DP05 Data [Dataset]. https://appalachiaohio-ohiou.hub.arcgis.com/datasets/aa2dbc2e54f642e7924abd928e433b09
    Explore at:
    Dataset updated
    Jan 21, 2025
    Dataset authored and provided by
    j_schaudt
    Area covered
    Description

    2023 Census Tigerline OH House boundaries joined with 2023 ACS 5yr Table DP05 ACS Demographic and Housing Estimates to create OH House data profiles

  4. a

    tl 2023 39 sldu ACSDP5Y2023 DP05 Data

    • appalachiaohio-ohiou.hub.arcgis.com
    Updated Jan 21, 2025
    + more versions
    Share
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    j_schaudt (2025). tl 2023 39 sldu ACSDP5Y2023 DP05 Data [Dataset]. https://appalachiaohio-ohiou.hub.arcgis.com/datasets/6d852616ead3461fb7f8c9451ef018e6
    Explore at:
    Dataset updated
    Jan 21, 2025
    Dataset authored and provided by
    j_schaudt
    Area covered
    Description

    2023 Census Tigerline OH Senate boundaries joined with 2023 ACS 5yr Table DP05 ACS Demographic and Housing Estimates to create OH Senate data profiles

  5. a

    tl 2023 39 county ACSDP5Y2023 DP05 Data

    • appalachiaohio-ohiou.hub.arcgis.com
    Updated Jan 21, 2025
    + more versions
    Share
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    j_schaudt (2025). tl 2023 39 county ACSDP5Y2023 DP05 Data [Dataset]. https://appalachiaohio-ohiou.hub.arcgis.com/datasets/f31e99b778ef4fb3ac6d9ab5bf5e797f
    Explore at:
    Dataset updated
    Jan 21, 2025
    Dataset authored and provided by
    j_schaudt
    Area covered
    Description

    2023 Census Tigerline county boundaries joined with 2023 ACS 5yr Table DP05 ACS Demographic and Housing Estimates to create county data profiles

  6. a

    tl 2023 39 place ACSDP5Y2023 DP05 Data

    • appalachiaohio-ohiou.hub.arcgis.com
    Updated Jan 21, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    j_schaudt (2025). tl 2023 39 place ACSDP5Y2023 DP05 Data [Dataset]. https://appalachiaohio-ohiou.hub.arcgis.com/datasets/12479b5e580c4749889233615e5cb8dd
    Explore at:
    Dataset updated
    Jan 21, 2025
    Dataset authored and provided by
    j_schaudt
    Area covered
    Description

    2023 Census Tigerline place boundaries joined with 2023 ACS 5yr Table DP05 ACS Demographic and Housing Estimates to create place data profiles

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Share
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Click to copy link
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Cite
ACS (2021). 2023 American Community Survey: DP05 | ACS Demographic and Housing Estimates (ACS 1-Year Estimates Data Profiles) [Dataset]. https://data.census.gov/table/ACSDP1Y2023.DP05
Organization logo

2023 American Community Survey: DP05 | ACS Demographic and Housing Estimates (ACS 1-Year Estimates Data Profiles)

2023: ACS 1-Year Estimates Data Profiles

Explore at:
19 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Aug 15, 2021
Dataset provided by
United States Census Bureauhttp://census.gov/
Authors
ACS
License

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

Time period covered
2023
Description

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.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..Source: U.S. Census Bureau, 2023 American Community Survey 1-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..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). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..For more information on understanding Hispanic origin and race data, please see the America Counts: Stories Behind the Numbers article entitled, 2020 Census Illuminates Racial and Ethnic Composition of the Country, issued August 2021..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

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