Historic Redlining Indicator for 2000, 2010, and 2020 US Census Tracts
Principal Investigator(s): View help for Principal Investigator(s) Helen C.S. Meier, University of Michigan. Institute for Social Research. Survey Research Center; Bruce C. Mitchell, National Community Reinvestment Coalition
Version: View help for Version V3
Name | File Type | Size | Last Modified |
---|---|---|---|
HRI2000-Shapefiles | 08/09/2023 12:58:PM | ||
HRI2010-Shapefiles | 08/09/2023 12:59:PM | ||
HRI2020-Shapefiles | 08/09/2023 01:10:PM | ||
HRI2000.sav SPSS file | application/x-spss-sav | 1.2 MB | 08/09/2023 08:39:AM |
HRI2010.sav SPSS file | application/x-spss-sav | 831.9 KB | 08/09/2023 09:13:AM |
HRI2020.sav SPSS file | application/x-spss-sav | 871.8 KB | 08/09/2023 09:19:AM |
Historic Redlining Indicator 2000.xlsx | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet | 481 KB | 08/06/2023 11:51:AM |
Historic Redlining Indicator 2010.xlsx | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet | 419.7 KB | 08/07/2023 07:20:AM |
Historic Redlining Indicator 2020.xlsx | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet | 445.6 KB | 08/07/2023 07:20:AM |
Project Citation:
Meier, Helen C.S., and Mitchell, Bruce C. . Historic Redlining Indicator for 2000, 2010, and 2020 US Census Tracts. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-09-25. https://doi.org/10.3886/E141121V3
Project Description
Summary:
View help for Summary
The Home Owners’ Loan Corporation (HOLC) was a U.S. federal agency
that graded mortgage investment risk of neighborhoods across the U.S. between
1935 and 1940. HOLC residential security maps standardized neighborhood risk appraisal
methods that included race and ethnicity, pioneering the institutional logic of
residential “redlining.”
The Mapping Inequality Project digitized the HOLC mortgage
security risk maps from the 1930s. We overlaid the HOLC maps with 2010 and 2020 census tracts for 142
cities across the U.S. using ArcGIS and determined the proportion of HOLC
residential security grades contained within the boundaries. We assigned a numerical value to each HOLC risk category as
follows: 1 for “A” grade, 2 for “B” grade, 3 for “C” grade, and 4 for “D”
grade. We calculated a historic redlining score from the summed proportion of
HOLC residential security grades multiplied by a weighting factor based on area
within each census tract. A higher score means greater redlining of the census
tract. Continuous historic redlining score, assessing the degree of
“redlining,” as well as 4 equal interval divisions of redlining, can
be linked to existing data sources by census tract identifier allowing for one
form of structural racism in the housing market to be assessed with a variety
of outcomes. The 2010 files are set to census 2010 tract boundaries. The 2020 files use the new census 2020 tract boundaries, reflecting the increase in the number of tracts from 12,888 in 2010, to 13,488 in 2020. Use the 2010 HRI with decennial census 2010 or ACS 2010-2019 data. As of publication (10/15/2020) decennial census 2020 data for the P1 (population) and H1 (housing) files are available from census. Updated (8/9/2023) - The Historic Redlining Score has been renamed the Historic Redlining Indicator or HRI. The HRI has also been calculated for Census 2000 boundaries.
Funding Sources:
View help for Funding Sources
Greater Milwaukee Foundation (Shaw Scientist Award)
Scope of Project
Subject Terms:
View help for Subject Terms
Structural racism;
redlining
Geographic Coverage:
View help for Geographic Coverage
United States Metro Areas
Methodology
Geographic Unit:
View help for Geographic Unit
census tract
Related Publications
Published Versions
Report a Problem
Found a serious problem with the data, such as disclosure risk or copyrighted content? Let us know.
This material is distributed exactly as it arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.