Explains the natural language processing approach used to mine court fillings to identify disparities by location, race, and gender.
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We create things that can't be unseen. The Eviction Research Network collects, analyzes, & maps eviction data while helping other researchers map & analyze theirs. We specialize in using social & data science to analyze racial & gender disparities in eviction & urban theory to help explain our findings.
Our goal is to expand public & scholarly knowledge on the prevalence & drivers of evictions in under-studied regions, highlight work from scholars in the field, & provide evidence-based research that legislatures, practitioners, & advocates can use to inform policy.
Introducing the The Housing Precarity Risk Model (HPRM), a forecast of where renters face the greatest combined risk of eviction, displacement, and long-term poverty across the United States.
By integrating estimates of eviction risk with indicators of displacement vulnerability and pandemic-era unemployment, the model highlights neighborhoods where housing precarity is most severe. These maps give policymakers, advocates, and service providers a data-driven tool to target resources, design anti-displacement strategies, and advance housing equity.
Learn MoreThe Eviction Research Network focuses on state specific eviction trends in order to highlight racial and gender disparities in under-studied regions.
Overall these trends demonstrate a concerning rate of evictions compared to before the pandemic in 2020. Change must be done in order to provide better housing for everyone.
Check out specific profiles by choosing state in the map on the right!
Click on a state to learn more!
Explains the natural language processing approach used to mine court fillings to identify disparities by location, race, and gender.
Zooming in on racial disparities in Oregon evictions
