IDEAS home Printed from https://ideas.repec.org/p/osf/socarx/dktah.html
   My bibliography  Save this paper

Tabulated HOLC Area Description Sheet Data

Author

Listed:
  • Markley, Scott

    (University of Georgia)

Abstract

In the late 1930s, an agency of the United States government called the “Home Owners’ Loan Corporation” (HOLC) graded thousands of urban neighborhoods on the perceived risk they posed to mortgage lenders and property investors. To make these determinations, HOLC field agents collected vast amounts of socioeconomic, demographic, and housing data about these places and presented their findings in an impressive set of maps. While these “redlining” maps have received considerable academic and media attention, the data used to assign risk grades—available for most cities in their “area description” sheets—remain virtually unusable. Correcting this issue, I convert eight of the most consequential variables from 129 cities into an accessible and analyzable tabular format. These include the Black population percentage, “foreign-born” population percentage and group, family income, occupation class, average building age, home repair status, and mortgage availability. This data product will allow researchers to gain a more complete picture of the HOLC’s City Survey program, and it will provide a valuable new source of historical socio-demographic data at the neighborhood level.

Suggested Citation

  • Markley, Scott, 2021. "Tabulated HOLC Area Description Sheet Data," SocArXiv dktah, Center for Open Science.
  • Handle: RePEc:osf:socarx:dktah
    DOI: 10.31219/osf.io/dktah
    as

    Download full text from publisher

    File URL: https://osf.io/download/614e0251b2b192003b58029d/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/dktah?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osf:socarx:dktah. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSF (email available below). General contact details of provider: https://arabixiv.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.