4 datasets found
  1. d

    Pittsburgh Neighborhoods Map

    • datasets.ai
    • data.wprdc.org
    • +3more
    21
    Updated Oct 8, 2024
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    Allegheny County / City of Pittsburgh / Western PA Regional Data Center (2024). Pittsburgh Neighborhoods Map [Dataset]. https://datasets.ai/datasets/pittsburgh-neighborhoods-map
    Explore at:
    21Available download formats
    Dataset updated
    Oct 8, 2024
    Dataset authored and provided by
    Allegheny County / City of Pittsburgh / Western PA Regional Data Center
    Area covered
    Pittsburgh
    Description

    Allows users to look up City of Pittsburgh Neighborhoods

  2. C

    Neighborhoods

    • data.wprdc.org
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +2more
    csv, geojson, html +2
    Updated Sep 3, 2025
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    City of Pittsburgh (2025). Neighborhoods [Dataset]. https://data.wprdc.org/dataset/neighborhoods2
    Explore at:
    csv, geojson(1200006), html, kml(1078560), zip(329463)Available download formats
    Dataset updated
    Sep 3, 2025
    Dataset authored and provided by
    City of Pittsburgh
    License

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

    Description

    Pittsburgh Neighborhoods

  3. C

    Redlining Maps from the Home Owners Loan Corporation, 1937

    • data.wprdc.org
    • gimi9.com
    geojson, html, jpeg +1
    Updated Jul 8, 2025
    + more versions
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    Western Pennsylvania Regional Data Center (2025). Redlining Maps from the Home Owners Loan Corporation, 1937 [Dataset]. https://data.wprdc.org/dataset/redlining-maps-from-the-home-owners-loan-corporation
    Explore at:
    zip(12934532), jpeg(6317290), geojson(46444), jpeg(46615911), zip(7807), zip(12025), html, zip(45384487), zip(10561768), jpeg(10667368), zip(154680053), zip(10818554), geojson(54280), jpeg(5141992), zip(24301995), zip(17077497), zip(7566), zip(38339897), geojson(269553), zip(31784339), jpeg(13882165), zip(7509), geojson(39108), geojson(60598), zip(75315), geojson(593066)Available download formats
    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Western Pennsylvania Regional Data Center
    License

    http://www.opendefinition.org/licenses/cc-by-sahttp://www.opendefinition.org/licenses/cc-by-sa

    Description

    Most of the text in this description originally appeared on the Mapping Inequality Website. Robert K. Nelson, LaDale Winling, Richard Marciano, Nathan Connolly, et al., “Mapping Inequality,” American Panorama, ed. Robert K. Nelson and Edward L. Ayers,

    "HOLC staff members, using data and evaluations organized by local real estate professionals--lenders, developers, and real estate appraisers--in each city, assigned grades to residential neighborhoods that reflected their "mortgage security" that would then be visualized on color-coded maps. Neighborhoods receiving the highest grade of "A"--colored green on the maps--were deemed minimal risks for banks and other mortgage lenders when they were determining who should received loans and which areas in the city were safe investments. Those receiving the lowest grade of "D," colored red, were considered "hazardous."

    Conservative, responsible lenders, in HOLC judgment, would "refuse to make loans in these areas [or] only on a conservative basis." HOLC created area descriptions to help to organize the data they used to assign the grades. Among that information was the neighborhood's quality of housing, the recent history of sale and rent values, and, crucially, the racial and ethnic identity and class of residents that served as the basis of the neighborhood's grade. These maps and their accompanying documentation helped set the rules for nearly a century of real estate practice. "

    HOLC agents grading cities through this program largely "adopted a consistently white, elite standpoint or perspective. HOLC assumed and insisted that the residency of African Americans and immigrants, as well as working-class whites, compromised the values of homes and the security of mortgages. In this they followed the guidelines set forth by Frederick Babcock, the central figure in early twentieth-century real estate appraisal standards, in his Underwriting Manual: "The infiltration of inharmonious racial groups ... tend to lower the levels of land values and to lessen the desirability of residential areas."

    These grades were a tool for redlining: making it difficult or impossible for people in certain areas to access mortgage financing and thus become homeowners. Redlining directed both public and private capital to native-born white families and away from African American and immigrant families. As homeownership was arguably the most significant means of intergenerational wealth building in the United States in the twentieth century, these redlining practices from eight decades ago had long-term effects in creating wealth inequalities that we still see today. Mapping Inequality, we hope, will allow and encourage you to grapple with this history of government policies contributing to inequality."

    Data was copied from the Mapping Inequality Website for communities in Western Pennsylvania where data was available. These communities include Altoona, Erie, Johnstown, Pittsburgh, and New Castle. Data included original and georectified images, scans of the neighborhood descriptions, and digital map layers. Data here was downloaded on June 9, 2020.

  4. d

    Redlining Maps from the Home Owners Loan Corporation, 1937

    • catalog.data.gov
    Updated Jan 24, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
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    Link copied
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    Cite
    Western Pennsylvania Regional Data Center (2023). Redlining Maps from the Home Owners Loan Corporation, 1937 [Dataset]. https://catalog.data.gov/dataset/redlining-maps-from-the-home-owners-loan-corporation-1937
    Explore at:
    Dataset updated
    Jan 24, 2023
    Dataset provided by
    Western Pennsylvania Regional Data Center
    Description

    Most of the text in this description originally appeared on the Mapping Inequality Website. Robert K. Nelson, LaDale Winling, Richard Marciano, Nathan Connolly, et al., “Mapping Inequality,” American Panorama, ed. Robert K. Nelson and Edward L. Ayers, "HOLC staff members, using data and evaluations organized by local real estate professionals--lenders, developers, and real estate appraisers--in each city, assigned grades to residential neighborhoods that reflected their "mortgage security" that would then be visualized on color-coded maps. Neighborhoods receiving the highest grade of "A"--colored green on the maps--were deemed minimal risks for banks and other mortgage lenders when they were determining who should received loans and which areas in the city were safe investments. Those receiving the lowest grade of "D," colored red, were considered "hazardous." Conservative, responsible lenders, in HOLC judgment, would "refuse to make loans in these areas [or] only on a conservative basis." HOLC created area descriptions to help to organize the data they used to assign the grades. Among that information was the neighborhood's quality of housing, the recent history of sale and rent values, and, crucially, the racial and ethnic identity and class of residents that served as the basis of the neighborhood's grade. These maps and their accompanying documentation helped set the rules for nearly a century of real estate practice. " HOLC agents grading cities through this program largely "adopted a consistently white, elite standpoint or perspective. HOLC assumed and insisted that the residency of African Americans and immigrants, as well as working-class whites, compromised the values of homes and the security of mortgages. In this they followed the guidelines set forth by Frederick Babcock, the central figure in early twentieth-century real estate appraisal standards, in his Underwriting Manual: "The infiltration of inharmonious racial groups ... tend to lower the levels of land values and to lessen the desirability of residential areas." These grades were a tool for redlining: making it difficult or impossible for people in certain areas to access mortgage financing and thus become homeowners. Redlining directed both public and private capital to native-born white families and away from African American and immigrant families. As homeownership was arguably the most significant means of intergenerational wealth building in the United States in the twentieth century, these redlining practices from eight decades ago had long-term effects in creating wealth inequalities that we still see today. Mapping Inequality, we hope, will allow and encourage you to grapple with this history of government policies contributing to inequality." Data was copied from the Mapping Inequality Website for communities in Western Pennsylvania where data was available. These communities include Altoona, Erie, Johnstown, Pittsburgh, and New Castle. Data included original and georectified images, scans of the neighborhood descriptions, and digital map layers. Data here was downloaded on June 9, 2020.

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Allegheny County / City of Pittsburgh / Western PA Regional Data Center (2024). Pittsburgh Neighborhoods Map [Dataset]. https://datasets.ai/datasets/pittsburgh-neighborhoods-map

Pittsburgh Neighborhoods Map

Explore at:
21Available download formats
Dataset updated
Oct 8, 2024
Dataset authored and provided by
Allegheny County / City of Pittsburgh / Western PA Regional Data Center
Area covered
Pittsburgh
Description

Allows users to look up City of Pittsburgh Neighborhoods

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