41 datasets found
  1. 2011 American Community Survey: B02001 | RACE (ACS 1-Year Estimates Detailed...

    • data.census.gov
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    ACS, 2011 American Community Survey: B02001 | RACE (ACS 1-Year Estimates Detailed Tables) [Dataset]. https://data.census.gov/cedsci/table?q=&g=310M100US13820,38300&d=ACS%201-Year%20Estimates%20Detailed%20Tables&table=B02001&tid=ACSDT1Y2011.B02001&y=2011&t=Black%20or%20African%20American%3AWhite&hidePreview=false&syear=2020&vintage=2011&cid=B02001_001E&lastDisplayedRow=9&mode=
    Explore at:
    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
    2011
    Description

    Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Data and Documentation section...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..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..Explanation of Symbols:An ''**'' entry in 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..An ''-'' entry in the estimate column indicates that 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..An ''-'' following a median estimate means the median falls in the lowest interval of an open-ended distribution..An ''+'' following a median estimate means the median falls in the upper interval of an open-ended distribution..An ''***'' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate..An ''*****'' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. .An ''N'' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small..An ''(X)'' means that the estimate is not applicable or not available..Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2000 data. Boundaries for urban areas have not been updated since Census 2000. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..While the 2011 American Community Survey (ACS) data generally reflect the December 2009 Office of Management and Budget (OMB) definitions of metropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB definitions due to differences in the effective dates of the geographic entities..The ACS questions on Hispanic origin and race were revised in 2008 to make them consistent with the Census 2010 question wording. Any changes in estimates for 2008 and beyond may be due to demographic changes, as well as factors including questionnaire changes, differences in ACS population controls, and methodological differences in the population estimates, and therefore should be used with caution. For a summary of questionnaire changes see http://www.census.gov/acs/www/methodology/questionnaire_changes/. For more information about changes in the estimates see http://www.census.gov/population/www/socdemo/hispanic/reports.html..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 Accuracy of the Data). The effect of nonsampling error is not represented in these tables..Source: U.S. Census Bureau, 2011 American Community Survey

  2. 2021 American Community Survey: B02001 | RACE (ACS 1-Year Estimates Detailed...

    • data.census.gov
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    ACS, 2021 American Community Survey: B02001 | RACE (ACS 1-Year Estimates Detailed Tables) [Dataset]. https://data.census.gov/table?q=race&tid=ACSDT1Y2021.B02001
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    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
    2021
    Description

    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..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.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, 2021 American Community Survey 1-Year Estimates.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..The Hispanic origin and race codes were updated in 2020. For more information on the Hispanic origin and race code changes, please visit the American Community Survey Technical Documentation website..The 2021 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineations due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 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.

  3. C

    Race and Ethnicity: Area Counties

    • data.ccrpc.org
    csv
    Updated Dec 16, 2024
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    Champaign County Regional Planning Commission (2024). Race and Ethnicity: Area Counties [Dataset]. https://data.ccrpc.org/dataset/race-and-ethnicity-counties
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    csvAvailable download formats
    Dataset updated
    Dec 16, 2024
    Dataset authored and provided by
    Champaign County Regional Planning Commission
    License

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

    Description

    Sources: U.S. Census Bureau; American Community Survey, 2019-2023 American Community Survey 5-Year Estimates, Tables B02001; generated by CCRPC staff; using data.census.gov; https://data.census.gov; (16 December 2024). U.S. Census Bureau; American Community Survey, 2019-2023 American Community Survey 5-Year Estimates, Table B03002; generated by CCRPC staff; using data.census.gov; https://data.census.gov; (16 December 2024).

  4. Race and Ethnicity 2018-2022 - STATES

    • mce-data-uscensus.hub.arcgis.com
    • covid19-uscensus.hub.arcgis.com
    Updated Feb 5, 2024
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    US Census Bureau (2024). Race and Ethnicity 2018-2022 - STATES [Dataset]. https://mce-data-uscensus.hub.arcgis.com/maps/973245d9cd914f58a8fe87baacea1f4a
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    Dataset updated
    Feb 5, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    US Census Bureau
    Area covered
    Description

    This layer shows Race and Ethnicity. This is shown by state and county boundaries. This service contains the 2018-2022 release of data from the 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. This layer is symbolized to show the percentage of population that are Hispanic or Latino (of any race). 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: 2018-2022ACS Table(s): B02001, B03001, DP05Data downloaded from: CensusBureau's API for American Community Survey Date of API call: January 18, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis 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 Cartographic Boundaries via US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates, 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 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. The Counties (and equivalent) layer contains 3221 records - all counties and equivalent, Washington D.C., and Puerto Rico municipios. See Areas Published. 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.Margin of error (MOE) values of -555555555 in the API (or "*****" (five asterisks) on data.census.gov) are displayed as 0 in this dataset. The estimates associated with these MOEs have been controlled to independent counts in the ACS weighting and have zero sampling error. So, the MOEs are effectively zeroes, and are treated as zeroes in MOE calculations. Other negative values on the API, such as -222222222, -666666666, -888888888, and -999999999, all represent estimates or MOEs that can't be calculated or can't be published, usually due to small sample sizes. All of these are rendered in this dataset as null (blank) values.

  5. c

    Iowa Population by Race (ACS 5-Year Estimates)

    • s.cnmilf.com
    • mydata.iowa.gov
    • +2more
    Updated Jun 14, 2024
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    data.iowa.gov (2024). Iowa Population by Race (ACS 5-Year Estimates) [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/iowa-population-by-race-acs-5-year-estimates
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    Dataset updated
    Jun 14, 2024
    Dataset provided by
    data.iowa.gov
    Area covered
    Iowa
    Description

    This dataset contains Iowa population by race for State of Iowa, individual Iowa counties, Iowa places and census tracts within Iowa. Data is from the American Community Survey, Five Year Estimates, Table B02001. Race includes: Total, White Alone, Black or African American Alone, American Indian and Alaska Native, Asian Alone, Native Hawaiian and Other Pacific Islander Alone, Some Other Race, and Two or More Races

  6. a

    Race and Ethnicity 2017-2021 - STATES

    • hub.arcgis.com
    Updated Mar 24, 2023
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    US Census Bureau (2023). Race and Ethnicity 2017-2021 - STATES [Dataset]. https://hub.arcgis.com/maps/USCensus::race-and-ethnicity-2017-2021-states
    Explore at:
    Dataset updated
    Mar 24, 2023
    Dataset authored and provided by
    US Census Bureau
    Area covered
    Description

    This layer shows Race and Ethnicity. This is shown by state and county boundaries. This service contains the 2017-2021 release of data from the 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. This layer is symbolized to show the percentage of population that are Hispanic or Latino . 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: 2017-2021ACS Table(s): B02001, B03001, DP05Data downloaded from: CensusBureau's API for American Community Survey Date of API call: February 16, 2023National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis 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 Cartographic Boundaries via US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates, 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 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. The Counties (and equivalent) layer contains 3221 records - all counties and equivalent, Washington D.C., and Puerto Rico municipios. See Areas Published. 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.Margin of error (MOE) values of -555555555 in the API (or "*****" (five asterisks) on data.census.gov) are displayed as 0 in this dataset. The estimates associated with these MOEs have been controlled to independent counts in the ACS weighting and have zero sampling error. So, the MOEs are effectively zeroes, and are treated as zeroes in MOE calculations. Other negative values on the API, such as -222222222, -666666666, -888888888, and -999999999, all represent estimates or MOEs that can't be calculated or can't be published, usually due to small sample sizes. All of these are rendered in this dataset as null (blank) values.

  7. Current Iowa Population and Percent Change by Race (ACS 5-Year Estimate)

    • mydata.iowa.gov
    • data.iowa.gov
    application/rdfxml +5
    Updated Jun 7, 2024
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    U.S. Census Bureau, American Community Survey (2024). Current Iowa Population and Percent Change by Race (ACS 5-Year Estimate) [Dataset]. https://mydata.iowa.gov/Community-Demographics/Current-Iowa-Population-and-Percent-Change-by-Race/re4d-wwrw
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    csv, json, application/rdfxml, application/rssxml, tsv, xmlAvailable download formats
    Dataset updated
    Jun 7, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    U.S. Census Bureau, American Community Survey
    License

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

    Area covered
    Iowa
    Description

    This filtered view contains most current population estimate and percent change from prior non-overlapping data collection period for Iowa by Race. Data is from the American Community Survey, Five Year Estimates, Table B02001.

  8. Current Iowa Population Estimates by Race (ACS 5-Year Estimates)

    • data.iowa.gov
    • mydata.iowa.gov
    Updated Jun 7, 2024
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    U.S. Census Bureau, American Community Survey (2024). Current Iowa Population Estimates by Race (ACS 5-Year Estimates) [Dataset]. https://data.iowa.gov/widgets/8a2e-m78u?mobile_redirect=true
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    csv, xml, application/rdfxml, kmz, application/geo+json, kml, tsv, application/rssxmlAvailable download formats
    Dataset updated
    Jun 7, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    U.S. Census Bureau, American Community Survey
    License

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

    Area covered
    Iowa
    Description

    This filtered view contains the most current Iowa population estimates by race for State of Iowa, individual Iowa counties, and Iowa places within Iowa. Data is from the American Community Survey, Five Year Estimates, Table B02001.

  9. d

    CLL.C.3 - Change in percentage of Austin population that is African American...

    • catalog.data.gov
    • gimi9.com
    Updated Jun 25, 2025
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    data.austintexas.gov (2025). CLL.C.3 - Change in percentage of Austin population that is African American [Dataset]. https://catalog.data.gov/dataset/change-in-percentage-of-austin-population-that-is-african-american
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    Dataset updated
    Jun 25, 2025
    Dataset provided by
    data.austintexas.gov
    Area covered
    Austin
    Description

    This is a historical measure for Strategic Direction 2023. For more data on Austin demographics please visit austintexas.gov/demographics. This measure answers the question of what is the rate of change for the share of the total city population that is African-American. Calculated the difference of percentage of share over reporting period. Data collected from the U.S. Census Bureau, American Communities Survey (ACS) (1-yr), Race (table B02001). American Communities Survey is a survey with sampled statistics on the citywide level and is subject to a margin of error. ACS sample size and data quality measures can be found on the U.S. Census website in the Methodology section.

  10. Iowa Population by County (ACS 5-Year Estimates)

    • mydata.iowa.gov
    • data.iowa.gov
    application/rdfxml +5
    Updated Jun 7, 2024
    + more versions
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    U.S. Census Bureau, American Community Survey (2024). Iowa Population by County (ACS 5-Year Estimates) [Dataset]. https://mydata.iowa.gov/Community-Demographics/Iowa-Population-by-County-ACS-5-Year-Estimates-/wp3b-5sbd
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    csv, json, tsv, application/rssxml, application/rdfxml, xmlAvailable download formats
    Dataset updated
    Jun 7, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    U.S. Census Bureau, American Community Survey
    License

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

    Area covered
    Iowa
    Description

    This filtered view provides the population for counties within the State of Iowa for the 60 month data collection periods included in the dataset. Data is from the American Community Survey, Five Year Estimates, Table B02001.

  11. d

    CLL.C.2 - Percentage of all Austin ZIP Codes where 70 percent or more of...

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated May 25, 2024
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    data.austintexas.gov (2024). CLL.C.2 - Percentage of all Austin ZIP Codes where 70 percent or more of residents are the same race [Dataset]. https://catalog.data.gov/dataset/percentage-of-all-austin-zip-codes-where-70-percent-or-more-of-residents-are-the-same-race
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    Dataset updated
    May 25, 2024
    Dataset provided by
    data.austintexas.gov
    Area covered
    Austin
    Description

    This measure answers the question of percentage of zip codes are comprised of 70 percent of more of the composition or race of residents. This indicator calculated the mix by dividing a racial category by total population. 3) Data Collection Process: Data collected from the U.S. Census Bureau, American Communities Survey (5yr), Race (Table B02001). American Communities Survey (ACS) is a survey with sampled statistics on the citywide level and is subject to a margin of error. ACS sample size and data quality measures can be found on the U.S. Census website in the Methodology section.

  12. C

    Race and Ethnicity: Champaign County Townships

    • data.ccrpc.org
    csv
    Updated Jan 7, 2025
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    Champaign County Regional Planning Commission (2025). Race and Ethnicity: Champaign County Townships [Dataset]. https://data.ccrpc.org/sv/dataset/race-and-ethnicity-townships
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    csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Champaign County Regional Planning Commission
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Champaign County
    Description

    Sources: U.S. Census Bureau; American Community Survey, 2019-2023 American Community Survey 5-Year Estimates, Table B02001; generated by CCRPC staff; using data.census.gov; https://data.census.gov/cedsci/; (20 December 2024). U.S. Census Bureau; American Community Survey, 2019-2023 American Community Survey 5-Year Estimates, Table B03002; generated by CCRPC staff; using data.census.gov; https://data.census.gov/cedsci/; (20 December 2024).

  13. Race and Ethnicity - States 2015-2019

    • covid19-uscensus.hub.arcgis.com
    Updated Mar 19, 2021
    + more versions
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    US Census Bureau (2021). Race and Ethnicity - States 2015-2019 [Dataset]. https://covid19-uscensus.hub.arcgis.com/items/3b0c859dd2b04e8b9ef0e92355d66fda
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    Dataset updated
    Mar 19, 2021
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    US Census Bureau
    Description

    This layer shows Race and Ethnicity. This is shown by 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.
    This layer is symbolized to show the percentage of households with no internet connection. 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: 2015-2019ACS Table(s): B02001, B03001, DP05Data downloaded from: Census Bureau's API for American Community Survey Date of API call: February 10, 2021National Figures: data.census.gov The United States Census Bureau's American Community Survey (ACS): About the SurveyGeography & ACSTechnical Documentation News & UpdatesThis 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. 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 RicoCensus 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.Margin of error (MOE) values of -555555555 in the API (or "*****" (five asterisks) on data.census.gov) are displayed as 0 in this dataset. The estimates associated with these MOEs have been controlled to independent counts in the ACS weighting and have zero sampling error. So, the MOEs are effectively zeroes, and are treated as zeroes in MOE calculations. Other negative values on the API, such as -222222222, -666666666, -888888888, and -999999999, all represent estimates or MOEs that can't be calculated or can't be published, usually due to small sample sizes.
    All of these are rendered in this dataset as null (blank) values.

  14. C

    Race and Ethnicity: Champaign County Municipalities

    • data.ccrpc.org
    csv
    Updated Dec 17, 2024
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    Champaign County Regional Planning Commission (2024). Race and Ethnicity: Champaign County Municipalities [Dataset]. https://data.ccrpc.org/dataset/race-and-ethnicity-municipalities
    Explore at:
    csvAvailable download formats
    Dataset updated
    Dec 17, 2024
    Dataset authored and provided by
    Champaign County Regional Planning Commission
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Champaign County
    Description

    Sources: U.S. Census Bureau; American Community Survey, 2019-2023 American Community Survey 5-Year Estimates, Tables B02001; generated by CCRPC staff; using data.census.gov; https://data.census.gov; (17 December 2024). U.S. Census Bureau; American Community Survey, 2019-2023 American Community Survey 5-Year Estimates, Table B03002; generated by CCRPC staff; using data.census.gov; https://data.census.gov; (17 December 2024).

  15. Iowa Counties with Population Decrease, Current Estimate (ACS 5-Year...

    • data.iowa.gov
    • mydata.iowa.gov
    Updated Jun 7, 2024
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    U.S. Census Bureau, American Community Survey (2024). Iowa Counties with Population Decrease, Current Estimate (ACS 5-Year Estimates) [Dataset]. https://data.iowa.gov/Community-Demographics/Iowa-Counties-with-Population-Decrease-Current-Est/vrzv-ps7h
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    application/rssxml, xml, csv, application/rdfxml, application/geo+json, kmz, tsv, kmlAvailable download formats
    Dataset updated
    Jun 7, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    U.S. Census Bureau, American Community Survey
    License

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

    Area covered
    Iowa
    Description

    This filtered view contains most current population estimate and population change and change rate from prior non-overlapping data collection period for individual Iowa counties whose population has decreased. Data is from the American Community Survey, Five Year Estimates, Table B02001.

  16. 2019 American Community Survey: B02001 | RACE (ACS 5-Year Estimates Detailed...

    • data.census.gov
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    ACS, 2019 American Community Survey: B02001 | RACE (ACS 5-Year Estimates Detailed Tables) [Dataset]. https://data.census.gov/table/ACSDT5Y2019.B02001?q=85034&hidePreview=false
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    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
    2019
    Description

    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..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.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, 2015-2019 American Community Survey 5-Year Estimates.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..The 2015-2019 American Community Survey (ACS) data generally reflect the September 2018 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances, the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineation lists due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 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:An "**" entry in 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.An "-" entry in the estimate column indicates that 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, or the margin of error associated with a median was larger than the median itself.An "-" following a median estimate means the median falls in the lowest interval of an open-ended distribution.An "+" following a median estimate means the median falls in the upper interval of an open-ended distribution.An "***" entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate.An "*****" entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. An "N" entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small.An "(X)" means that the estimate is not applicable or not available.

  17. d

    Race ACS2014 2018 Tempe tracts

    • catalog.data.gov
    • performance.tempe.gov
    • +7more
    Updated Mar 29, 2025
    + more versions
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    City of Tempe (2025). Race ACS2014 2018 Tempe tracts [Dataset]. https://catalog.data.gov/dataset/race-acs2014-2018-tempe-tracts-38d33
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    Dataset updated
    Mar 29, 2025
    Dataset provided by
    City of Tempe
    Area covered
    Tempe
    Description

    This feature layer provides the race in the City of Tempe by census tract. The feature layer was created using a join of Tempe Census Tract boundaries and ACSDT5Y2018.B02001 downloaded from the US Census Bureau.

  18. d

    Strategic Measure_ CLL.C.2 Percentage of all Austin ZIP Codes where 70...

    • catalog.data.gov
    • data.austintexas.gov
    • +1more
    Updated Apr 25, 2025
    + more versions
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    data.austintexas.gov (2025). Strategic Measure_ CLL.C.2 Percentage of all Austin ZIP Codes where 70 percent or more of residents are the same race [Dataset]. https://catalog.data.gov/dataset/strategic-measure-cll-c-2-percentage-of-all-austin-zip-codes-where-70-percent-or-more-of-r
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    Dataset updated
    Apr 25, 2025
    Dataset provided by
    data.austintexas.gov
    Area covered
    Austin
    Description

    This is a historical measure for Strategic Direction 2023. For more data on Austin demographics please visit austintexas.gov/demographics. This measure answers the question of percentage of zip codes that are comprised of 70 percent of more of the composition or race of residents. This indicator calculated the mix by dividing a racial category by total population. Data collected from the U.S. Census Bureau, American Communities Survey (5yr), Race (Table B02001). American Communities Survey (ACS) is a survey with sampled statistics on the citywide level and is subject to a margin of error. ACS sample size and data quality measures can be found on the U.S. Census website in the Methodology section. View more details and insights related to this data set on the story page: https://data.austintexas.gov/stories/s/scuh-nqaj

  19. Race and Ethnicity 2018-2022 - COUNTIES

    • mce-data-uscensus.hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Feb 5, 2024
    + more versions
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    US Census Bureau (2024). Race and Ethnicity 2018-2022 - COUNTIES [Dataset]. https://mce-data-uscensus.hub.arcgis.com/maps/4c4d81c41e964ec58d1190fa508bc5ba
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    Dataset updated
    Feb 5, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    US Census Bureau
    Area covered
    Description

    This layer shows Race and Ethnicity. This is shown by state and county boundaries. This service contains the 2018-2022 release of data from the 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. This layer is symbolized to show the percentage of population that are Hispanic or Latino (of any race). 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: 2018-2022ACS Table(s): B02001, B03001, DP05Data downloaded from: CensusBureau's API for American Community Survey Date of API call: January 18, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis 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 Cartographic Boundaries via US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates, 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 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. The Counties (and equivalent) layer contains 3221 records - all counties and equivalent, Washington D.C., and Puerto Rico municipios. See Areas Published. 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.Margin of error (MOE) values of -555555555 in the API (or "*****" (five asterisks) on data.census.gov) are displayed as 0 in this dataset. The estimates associated with these MOEs have been controlled to independent counts in the ACS weighting and have zero sampling error. So, the MOEs are effectively zeroes, and are treated as zeroes in MOE calculations. Other negative values on the API, such as -222222222, -666666666, -888888888, and -999999999, all represent estimates or MOEs that can't be calculated or can't be published, usually due to small sample sizes. All of these are rendered in this dataset as null (blank) values.

  20. A

    ‘Tempe race’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Feb 11, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Tempe race’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-tempe-race-528b/0580267c/?iid=002-332&v=presentation
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    Dataset updated
    Feb 11, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Area covered
    Tempe
    Description

    Analysis of ‘Tempe race’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/31eb4a04-8a41-4a31-a1d9-3414de0ff475 on 11 February 2022.

    --- Dataset description provided by original source is as follows ---

    This feature layer provides the race in the City of Tempe by census tract. The feature layer was created using a join of Tempe Census Tract boundaries and ACSDT5Y2018.B02001 downloaded from the US Census Bureau.

    --- Original source retains full ownership of the source dataset ---

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ACS, 2011 American Community Survey: B02001 | RACE (ACS 1-Year Estimates Detailed Tables) [Dataset]. https://data.census.gov/cedsci/table?q=&g=310M100US13820,38300&d=ACS%201-Year%20Estimates%20Detailed%20Tables&table=B02001&tid=ACSDT1Y2011.B02001&y=2011&t=Black%20or%20African%20American%3AWhite&hidePreview=false&syear=2020&vintage=2011&cid=B02001_001E&lastDisplayedRow=9&mode=
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2011 American Community Survey: B02001 | RACE (ACS 1-Year Estimates Detailed Tables)

2011: ACS 1-Year Estimates Detailed Tables

Explore at:
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
2011
Description

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Data and Documentation section...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..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..Explanation of Symbols:An ''**'' entry in 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..An ''-'' entry in the estimate column indicates that 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..An ''-'' following a median estimate means the median falls in the lowest interval of an open-ended distribution..An ''+'' following a median estimate means the median falls in the upper interval of an open-ended distribution..An ''***'' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate..An ''*****'' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. .An ''N'' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small..An ''(X)'' means that the estimate is not applicable or not available..Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2000 data. Boundaries for urban areas have not been updated since Census 2000. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..While the 2011 American Community Survey (ACS) data generally reflect the December 2009 Office of Management and Budget (OMB) definitions of metropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB definitions due to differences in the effective dates of the geographic entities..The ACS questions on Hispanic origin and race were revised in 2008 to make them consistent with the Census 2010 question wording. Any changes in estimates for 2008 and beyond may be due to demographic changes, as well as factors including questionnaire changes, differences in ACS population controls, and methodological differences in the population estimates, and therefore should be used with caution. For a summary of questionnaire changes see http://www.census.gov/acs/www/methodology/questionnaire_changes/. For more information about changes in the estimates see http://www.census.gov/population/www/socdemo/hispanic/reports.html..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 Accuracy of the Data). The effect of nonsampling error is not represented in these tables..Source: U.S. Census Bureau, 2011 American Community Survey

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