IDEAS home Printed from https://ideas.repec.org/a/taf/raagxx/v114y2024i7p1505-1525.html
   My bibliography  Save this article

The Ground Rent Machine: The Story of Race, Housing Inequality, and Dispossession in Baltimore, Maryland

Author

Listed:
  • Jason R. Jurjevich
  • Dillon Mahmoudi

Abstract

In Baltimore, Maryland, more than 55,000 homes—roughly 30 percent of all residential plots—are subject to ground rent, a legacy of British feudal property law. Under this landlord–tenant system, the homeowner makes payments to the ground leaseholder, who maintains rights to the land. During the early 2000s, many Baltimoreans fell behind on their ground rent due to recessionary headwinds and were “ejected” from their homes as leaseholders took ownership (as collateral). Maryland lawmakers responded by passing housing protections in 2007, but several laws were overturned by the courts (Corma 2017). Using census and ground rent administrative data, we map the geography of ground rent in Baltimore. Our results reveal that originally a tool of class dispossession, ground rent became racialized in the 1950s and 1960s and today overwhelmingly affects Black communities and low-income households. Drawing on work by critical Marxist geographers, work on the production of decline, anti-Blackness, and property relations theory, we rely on a critical quantitative framework to illustrate how people, place, power structures, and relationality produce the pernicious and predatory “ground rent machine.” Telling the story of ground rent—a largely underexplored topic—illustrates how local racialized property regimes shape the geography of urban segregation and urban inequality.

Suggested Citation

  • Jason R. Jurjevich & Dillon Mahmoudi, 2024. "The Ground Rent Machine: The Story of Race, Housing Inequality, and Dispossession in Baltimore, Maryland," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 114(7), pages 1505-1525, August.
  • Handle: RePEc:taf:raagxx:v:114:y:2024:i:7:p:1505-1525
    DOI: 10.1080/24694452.2024.2353172
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/24694452.2024.2353172
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/24694452.2024.2353172?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    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:taf:raagxx:v:114:y:2024:i:7:p:1505-1525. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/raag .

    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.