7 datasets found
  1. a

    Racially or Ethnically Concentrated Areas of Poverty (R/ECAPs) 2020

    • hub.arcgis.com
    • hudgis-hud.opendata.arcgis.com
    Updated Sep 27, 2023
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    Department of Housing and Urban Development (2023). Racially or Ethnically Concentrated Areas of Poverty (R/ECAPs) 2020 [Dataset]. https://hub.arcgis.com/datasets/35798a7569524ae48bd02625af27ba49
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    Dataset updated
    Sep 27, 2023
    Dataset authored and provided by
    Department of Housing and Urban Development
    Area covered
    Description

    To assist communities in identifying racially/ethnically-concentrated areas of poverty (R/ECAPs), HUD has developed a census tract-based definition of R/ECAPs. The definition involves a racial/ethnic concentration threshold and a poverty test. The racial/ethnic concentration threshold is straightforward: R/ECAPs must have a non-white population of 50 percent or more. Regarding the poverty threshold, Wilson (1980) defines neighborhoods of extreme poverty as census tracts with 40 percent or more of individuals living at or below the poverty line. Because overall poverty levels are substantially lower in many parts of the country, HUD supplements this with an alternate criterion. Thus, a neighborhood can be a R/ECAP if it has a poverty rate that exceeds 40% or is three or more times the average tract poverty rate for the metropolitan/micropolitan area, whichever threshold is lower. Census tracts with this extreme poverty that satisfy the racial/ethnic concentration threshold are deemed R/ECAPs. This translates into the following equation: Where i represents census tracts, () is the metropolitan/micropolitan (CBSA) mean tract poverty rate, is the ith tract poverty rate, () is the non-Hispanic white population in tract i, and Pop is the population in tract i.While this definition of R/ECAP works well for tracts in CBSAs, place outside of these geographies are unlikely to have racial or ethnic concentrations as high as 50 percent. In these areas, the racial/ethnic concentration threshold is set at 20 percent. Data Source: Related AFFH-T Local Government, PHA Tables/Maps: Table 4, 7; Maps 1-17.Related AFFH-T State Tables/Maps: Table 4, 7; Maps 1-15, 18.References:Wilson, William J. (1980). The Declining Significance of Race: Blacks and Changing American Institutions. Chicago: University of Chicago Press.To learn more about R/ECAPs visit:https://www.hud.gov/program_offices/fair_housing_equal_opp/affh ; https://www.hud.gov/sites/dfiles/FHEO/documents/AFFH-T-Data-Documentation-AFFHT0006-July-2020.pdf, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Date of Coverage: 2017 - 2021 ACSDate Updated: 10/2023

  2. d

    ACS 5 Year Data by Ward

    • catalog.data.gov
    • data.cityofchicago.org
    • +1more
    Updated Jun 7, 2025
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    data.cityofchicago.org (2025). ACS 5 Year Data by Ward [Dataset]. https://catalog.data.gov/dataset/acs-5-year-data-by-ward
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    Dataset updated
    Jun 7, 2025
    Dataset provided by
    data.cityofchicago.org
    Description

    Selected variables from the most recent 5 year ACS Community Survey (Released 2023) aggregated by Ward. Additional years will be added as they become available. The underlying algorithm to create the dataset calculates the percent of a census tract that falls within the boundaries of a given ward. Given that census tracts and ward boundaries are not aligned, these figures should be considered an estimate. Total Population in this Dataset: 2,649,803 Total Population of Chicago reported by ACS 2023: 2,664,452 % Difference: %-0.55 There are different approaches in common use for displaying Hispanic or Latino population counts. In this dataset, following the approach taken by the Census Bureau, a person who identifies as Hispanic or Latino will also be counted in the race category with which they identify. However, again following the Census Bureau data, there is also a column for White Not Hispanic or Latino. The City of Chicago is actively soliciting community input on how best to represent race, ethnicity, and related concepts in its data and policy. Every dataset, including this one, has a "Contact dataset owner" link in the Actions menu. You can use it to offer any input you wish to share or to indicate if you would be interested in participating in live discussions the City may host. Code can be found here: https://github.com/Chicago/5-Year-ACS-Survey-Data Ward Shapefile: https://data.cityofchicago.org/Facilities-Geographic-Boundaries/Boundaries-Wards-2023-Map/cdf7-bgn3 Census Area Python Package Documentation: https://census-area.readthedocs.io/en/latest/index.html

  3. a

    Racial, National, and Industrial Localities, 1921

    • columbus.hub.arcgis.com
    Updated Jul 18, 2014
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    City of Columbus Maps & Apps (2014). Racial, National, and Industrial Localities, 1921 [Dataset]. https://columbus.hub.arcgis.com/maps/9c0f23e652164a159279e55b19ef604b
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    Dataset updated
    Jul 18, 2014
    Dataset authored and provided by
    City of Columbus Maps & Apps
    Area covered
    Description

    Sociologist Roderick D. McKenzie taught at Ohio State in the early 1920s while completing his dissertation on the urban and neighborhood geography of Columbus. One of McKenzie's maps delineated themes common with the Chicago School of Sociology urban geography focus: race and ethnicity. McKenzie's data provides a snapshot of the racial and ethnic geography of Columbus in the early 1920s and is useful to compare to recent patterns of race and ethnicity (from US Census data) to assess urban social change. Source: Roderick D. McKenzie. The Neighborhood: A Study of Local Life in the City of Columbus, Ohio. Chicago: Chicago University Press, 1923.

  4. c

    Dot-density race map (Bill Rankin, 2010)

    • hub.chicagowilderness.org
    • cw-fieldmuseum.hub.arcgis.com
    Updated Nov 17, 2021
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    Field Museum (2021). Dot-density race map (Bill Rankin, 2010) [Dataset]. https://hub.chicagowilderness.org/documents/fa26472f46364a6ba157f0ee185de244
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    Dataset updated
    Nov 17, 2021
    Dataset authored and provided by
    Field Museum
    Description

    This dot map shows three kinds of urban transitions. First, there are indeed areas where changes take place at very precise boundaries — such as between Lawndale and the Little Village, or Austin and Oak Park — and Chicago has more of these stark borders than most cities in the world. But transitions also take place through gradients and gaps as well, especially in the northwest and southeast. Using graphic conventions which allow these other possibilities to appear takes much more data, and requires more nuance in the way we talk about urban geography, but a cartography without boundaries can also make simplistic policy or urban design more difficult — in a good way.

  5. f

    Community level metrics for the Chicago site.

    • plos.figshare.com
    xls
    Updated Jun 18, 2023
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    Anna Dmowska; Tomasz F. Stepinski; Pawel Netzel (2023). Community level metrics for the Chicago site. [Dataset]. http://doi.org/10.1371/journal.pone.0174993.t005
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    xlsAvailable download formats
    Dataset updated
    Jun 18, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Anna Dmowska; Tomasz F. Stepinski; Pawel Netzel
    License

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

    Area covered
    Chicago
    Description

    Community level metrics for the Chicago site.

  6. Murder in the U.S.: number of victims in 2023, by race

    • statista.com
    • ai-chatbox.pro
    Updated Nov 7, 2024
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    Statista (2024). Murder in the U.S.: number of victims in 2023, by race [Dataset]. https://www.statista.com/statistics/251877/murder-victims-in-the-us-by-race-ethnicity-and-gender/
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    Dataset updated
    Nov 7, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, the FBI reported that there were 9,284 Black murder victims in the United States and 7,289 white murder victims. In comparison, there were 554 murder victims of unknown race and 586 victims of another race. Victims of inequality? In recent years, the role of racial inequality in violent crimes such as robberies, assaults, and homicides has gained public attention. In particular, the issue of police brutality has led to increasing attention following the murder of George Floyd, an African American who was killed by a Minneapolis police officer. Studies show that the rate of fatal police shootings for Black Americans was more than double the rate reported of other races. Crime reporting National crime data in the United States is based off the Federal Bureau of Investigation’s new crime reporting system, which requires law enforcement agencies to self-report their data in detail. Due to the recent implementation of this system, less crime data has been reported, with some states such as Delaware and Pennsylvania declining to report any data to the FBI at all in the last few years, suggesting that the Bureau's data may not fully reflect accurate information on crime in the United States.

  7. Racially or Ethnically Concentrated Areas of Poverty (R/ECAPs)

    • hub.arcgis.com
    • data.lojic.org
    • +2more
    Updated Aug 21, 2023
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    Department of Housing and Urban Development (2023). Racially or Ethnically Concentrated Areas of Poverty (R/ECAPs) [Dataset]. https://hub.arcgis.com/datasets/56de4edea8264fe5a344da9811ef5d6e
    Explore at:
    Dataset updated
    Aug 21, 2023
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Authors
    Department of Housing and Urban Development
    Area covered
    Description

    To assist communities in identifying racially/ethnically-concentrated areas of poverty (R/ECAPs), HUD has developed a census tract-based definition of R/ECAPs. The definition involves a racial/ethnic concentration threshold and a poverty test. The racial/ethnic concentration threshold is straightforward: R/ECAPs must have a non-white population of 50 percent or more. Regarding the poverty threshold, Wilson (1980) defines neighborhoods of extreme poverty as census tracts with 40 percent or more of individuals living at or below the poverty line. Because overall poverty levels are substantially lower in many parts of the country, HUD supplements this with an alternate criterion. Thus, a neighborhood can be a R/ECAP if it has a poverty rate that exceeds 40% or is three or more times the average tract poverty rate for the metropolitan/micropolitan area, whichever threshold is lower. Census tracts with this extreme poverty that satisfy the racial/ethnic concentration threshold are deemed R/ECAPs. This translates into the following equation: Where i represents census tracts, () is the metropolitan/micropolitan (CBSA) mean tract poverty rate, is the ith tract poverty rate, () is the non-Hispanic white population in tract i, and Pop is the population in tract i.While this definition of R/ECAP works well for tracts in CBSAs, place outside of these geographies are unlikely to have racial or ethnic concentrations as high as 50 percent. In these areas, the racial/ethnic concentration threshold is set at 20 percent.

    Data Source: American Community Survey (ACS), 2009-2013; Decennial Census (2010); Brown Longitudinal Tract Database (LTDB) based on decennial census data, 1990, 2000 & 2010.

    Related AFFH-T Local Government, PHA Tables/Maps: Table 4, 7; Maps 1-17. Related AFFH-T State Tables/Maps: Table 4, 7; Maps 1-15, 18.

    References:Wilson, William J. (1980). The Declining Significance of Race: Blacks and Changing American Institutions. Chicago: University of Chicago Press.

    To learn more about R/ECAPs visit:https://www.hud.gov/program_offices/fair_housing_equal_opp/affh ; https://www.hud.gov/sites/dfiles/FHEO/documents/AFFH-T-Data-Documentation-AFFHT0006-July-2020.pdf, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Date of Coverage: 11/2017

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Department of Housing and Urban Development (2023). Racially or Ethnically Concentrated Areas of Poverty (R/ECAPs) 2020 [Dataset]. https://hub.arcgis.com/datasets/35798a7569524ae48bd02625af27ba49

Racially or Ethnically Concentrated Areas of Poverty (R/ECAPs) 2020

Explore at:
Dataset updated
Sep 27, 2023
Dataset authored and provided by
Department of Housing and Urban Development
Area covered
Description

To assist communities in identifying racially/ethnically-concentrated areas of poverty (R/ECAPs), HUD has developed a census tract-based definition of R/ECAPs. The definition involves a racial/ethnic concentration threshold and a poverty test. The racial/ethnic concentration threshold is straightforward: R/ECAPs must have a non-white population of 50 percent or more. Regarding the poverty threshold, Wilson (1980) defines neighborhoods of extreme poverty as census tracts with 40 percent or more of individuals living at or below the poverty line. Because overall poverty levels are substantially lower in many parts of the country, HUD supplements this with an alternate criterion. Thus, a neighborhood can be a R/ECAP if it has a poverty rate that exceeds 40% or is three or more times the average tract poverty rate for the metropolitan/micropolitan area, whichever threshold is lower. Census tracts with this extreme poverty that satisfy the racial/ethnic concentration threshold are deemed R/ECAPs. This translates into the following equation: Where i represents census tracts, () is the metropolitan/micropolitan (CBSA) mean tract poverty rate, is the ith tract poverty rate, () is the non-Hispanic white population in tract i, and Pop is the population in tract i.While this definition of R/ECAP works well for tracts in CBSAs, place outside of these geographies are unlikely to have racial or ethnic concentrations as high as 50 percent. In these areas, the racial/ethnic concentration threshold is set at 20 percent. Data Source: Related AFFH-T Local Government, PHA Tables/Maps: Table 4, 7; Maps 1-17.Related AFFH-T State Tables/Maps: Table 4, 7; Maps 1-15, 18.References:Wilson, William J. (1980). The Declining Significance of Race: Blacks and Changing American Institutions. Chicago: University of Chicago Press.To learn more about R/ECAPs visit:https://www.hud.gov/program_offices/fair_housing_equal_opp/affh ; https://www.hud.gov/sites/dfiles/FHEO/documents/AFFH-T-Data-Documentation-AFFHT0006-July-2020.pdf, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Date of Coverage: 2017 - 2021 ACSDate Updated: 10/2023

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