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In the early 20th century, the federal government categorized neighborhoods, based largely on race, to determine mortgage eligibility. A new site combines the maps — and their revealing backstories.
-Thanks to Johnny Finn for this addition: the project Redlining in Virginia, which uses HOLC maps of Norfolk, Richmond, and Roanoke. NARA II RG 195, Entry 39, Folder “Austin, Texas,” Box 153 ...
This also means that the famous redlining maps issued by the latter agency do not reflect how discriminatory lending was put into practice. The researchers studied over 16,000 loans in three ...
The 1937 map below depicts a large redlined area in the center of Wichita, Kansas. The notes that accompanied the map (there’s an excerpt at the bottom of this post) reveal some of the reasons.
The interactive website now allows anyone to zoom in on the infamous redlining maps from the 1930s and view the neighborhood descriptions produced by one of the New Deal's most important agencies ...
Redlining is the name given to a discriminatory lending practice dating back to the 1930s when lenders would draw red lines on maps around neighborhoods that were predominantly Black as a way to ...
The report, “Maps of Inequality: From Redlining to Urban Decay and the Black Exodus,” argues that those redlined maps “set in motion urban decay and fueled an ongoing exodus of Black people ...
The redlining map for Cedar Rapids, courtesy of Ben Kaplan, Robert Nelson, and the Mapping Inequality Project) To provide relief … ...
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KTAL Shreveport on MSNRedlining in Cedar Grove - MSNDigital map. Red lines are neighborhood boundaries. Gray polygons are building layer objects from the City of Shreveport GIS ...
Todd M. Maloney, “How and Why the Home Owners’ Loan Corporation Made Its Redlining Maps.” In Robert K. Nelson. Introduction, in Robert K. Nelson, LaDale Winling, et al. “Mapping Inequality ...
Comparing New York City's health department's recent heat vulnerability maps and the 1930s redlining maps show a strong link between how areas were classified back then and where people were most ...
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