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Residential Instability in the Bay Area through the COVID-19 Pandemic

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Abstract

This report draws on a unique, longitudinal dataset of over 250,000 San Francisco Bay Area residents to examine residential instability—including moving, crowding, and financial health—in the Bay Area during the pandemic. Our research finds a substantial decrease in moving during the pandemic, particularly for residents of extremely low socioeconomic status (SES). At the same time, we report a concerning rise in residents living in crowded conditions and experiencing declining credit scores. These trends suggest that COVID-19 rent relief programs and eviction moratoria may be successful in reducing displacement; however, alternative strategies may be necessary to address other forms of residential instability, like crowding, especially in Black and low-income neighborhoods. This report concludes with recommendations to address residential instability in the Bay Area.

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  • Jackelyn Hwang & Vasudha Kumar & Becky Liang & Jason Vargo, 2022. "Residential Instability in the Bay Area through the COVID-19 Pandemic," Community Development Research Brief, Federal Reserve Bank of San Francisco, vol. 2022(04), pages 1-37, July.
    • Handle: RePEc:fip:fedfcb:94470
    DOI: 10.24148/cdrb2022-4
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    References listed on IDEAS

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    1. Anderson, Raymond, 2007. "The Credit Scoring Toolkit: Theory and Practice for Retail Credit Risk Management and Decision Automation," OUP Catalogue, Oxford University Press, number 9780199226405.
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