BIDS staff member Tim Thomas and a team from the Urban Displacement Project (UDP) have just released the Housing Precarity Risk Model (HPRM), an interactive mapping tool to help understand the extent of eviction and displacement risk across 53 US metro areas.
The HPRM estimates where eviction, displacement, and long-term poverty may occur after state and federal eviction moratoriums end. Users are invited to click on a city and choose different layers such as precarity, eviction, displacement, and unemployment. Researchers may use this mapping tool to identify the most vulnerable neighborhoods that are in particularly urgent need of assistance and resources from local, state, and federal agencies. The model also provides anti-displacement policy recommendations.
Precarity, defined as resilience to economic and environmental shocks, is measured as a composite score of low-income displacement and eviction risk interacted with 2020 unemployment and COVID-19 infections. The COVID-19 recession featured massive unemployment among low-wage workers, exacerbating already precarious housing conditions and putting millions more at risk of losing their homes. As the United States enters recovery and federal and local eviction moratoria near their end, it is unclear how many households will face eviction, displacement, or even homelessness. Therefore, it is important to understand who and where vulnerable groups live so that assistance can be directed appropriately.
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Urban Displacement Project Releases Housing Precarity Risk Model
July 6, 2021 | National Low Income Housing Coalition
FACT SHEET: Biden-Harris Administration Announces Initiatives to Promote Housing Stability By Supporting Vulnerable Tenants and Preventing Foreclosures
June 24, 2021 | The White House
Strategy Group on COVID and Rental Evictions
2021, National Academies of Sciences, Engineering, and Medicine
Video Presentation: Eviction, Displacement, Unemployment, and COVID-19 Infection Risk: Measuring Neighborhood Level Housing Precarity During the Pandemic
November 9, 2020 | Tim Thomas | Computational Social Science Forum
