Significance Several negative effects of forced displacement have been well documented, yet we lack reliable measurement of eviction risk in the national perspective. This prevents accurate estimations of the scope and geography of the problem as well as evaluations of policies to reduce housing loss. We construct a nationwide database of eviction filings in the United States. Doing so reveals that 2.7 million households, on average, are threatened with eviction each year; that the highest eviction filing rates are not concentrated solely in high-cost urban areas; and that state-level housing policies are strongly associated with county-level eviction filing risk. These data facilitate an expanded research agenda on the causes and consequences of eviction lawsuits in the United States.

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Objectives. To understand how the elimination of nonmedical vaccine exemptions through California Senate Bill 277 (SB277) may have resulted in increased spatial clustering of medical exemptions. Methods. We used spatial scan statistics and negative binomial regression models to examine spatial clustering in medical vaccine exemptions in California kindergartens from 2015 to 2018. Results. Spatial clustering of medical exemptions across schools emerged following SB277. Clusters were located in similar geographic areas to previous clusters of nonmedical vaccine exemptions, suggesting a spatial association between high nonmedical exemption prevalence and increasing rates of medical exemptions. Regression results confirmed this positive association at the local level. The sociodemographic characteristics of the neighborhoods in which schools were located explained some, but not all, of the positive spatial associations between exemptions before and after SB277. Conclusions. Elimination of nonmedical vaccine exemptions via SB277 may have prompted some parents to instead seek medical exemptions to required school vaccines. The spatial association of these 2 types of exemptions has implications for maintaining pockets of low vaccine compliance and increased disease transmission.

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In the United States, soaring rent burdens and a dearth of affordable housing leave millions of renters at risk of eviction. The eviction epidemic is particularly pronounced in California where advocates estimate that approximately 500,000 renters are evicted annually. Research has looked at individual-level determinants of evictions, but we know much less about the spatial dynamics of eviction and associations across neighborhoods. This is largely because data on evictions are sporadic and incomplete. We utilize data from American Information Research Services, Inc., that consists of publicly available California eviction court records for Los Angeles, Orange, Riverside, San Bernardino, and San Diego Counties between 2005 and 2015. We append eviction locations to two waves of the American Community Survey (ACS) to better understand the connection between concentrated disadvantage and neighborhood change and eviction. We find that evictions are much more likely to occur in neighborhoods with higher poverty rates and/or shares of African-American individuals than in neighborhoods with rising rent or income levels. These findings suggest that court-based evictions are much more likely to be found in areas with low-income households and racial minorities than in areas experiencing rapid neighborhood change as evidenced by rising rents or changing demographics.

Administrative court records are increasingly used to study the prevalence of eviction. Yet inaccuracies in court records bias estimates of eviction and distort tenants' true rental histories. This is the first study to systematically assess the prevalence of inaccuracies across jurisdictions. Drawing on over 3.6 million administrative eviction court records from 12 states, we find that, on average, 22% of eviction records contain ambiguous information on how the case was resolved or falsely represent a tenant's eviction history. Adjusting for multiple inaccuracies in the data produces significantly different eviction rate estimates. Cases with increased complexity, such as those involving multiple tenants and lawyers, are more likely to contain inaccuracies. However, inaccuracies vary most prominently between states, indicating that state court system characteristics fundamentally shape the official record of the evicted population.

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OBJECTIVES Areas of increased school-entry vaccination exemptions play a key role in epidemics of vaccine-preventable diseases in the United States. California eliminated nonmedical exemptions in 2016, which increased overall vaccine coverage but also rates of medical exemptions. We examine how spatial clustering of exemptions contributed to measles outbreak potential pre- and postpolicy change. METHODS We modeled measles transmission in an empirically calibrated hypothetical population of youth aged 0 to 17 years in California and compared outbreak sizes under the observed spatial clustering of exemptions in schools pre- and postpolicy change with counterfactual scenarios of no postpolicy change increase in medical exemptions, no clustering of exemptions, and lower population immunization levels. RESULTS The elimination of nonmedical exemptions significantly reduced both average and maximal outbreak sizes, although increases in medical exemptions resulted in more than twice as many infections, on average, than if medical exemptions were maintained at prepolicy change levels. Spatial clustering of nonmedical exemptions provided some initial protection against random introduction of measles infections; however, it ultimately allowed outbreaks with thousands more infections than when exemptions were randomly distributed. The large-scale outbreaks produced by exemption clusters could not be reproduced when exemptions were distributed randomly until population vaccination was lowered by >6 percentage points. CONCLUSIONS Despite the high overall vaccinate rate, the spatial clustering of exemptions in schools was sufficient to threaten local herd immunity and reduce protection from measles outbreaks. Policies strengthening vaccine requirements may be less effective if alternative forms of exemptions (eg, medical) are concentrated in existing low-immunization areas.