Affiliation:
1. Center on Poverty & Inequality, Stanford University , Stanford, CA 94305, USA
Abstract
Abstract
I use data linking counts of homicides by police to police department (PD)
and jurisdiction characteristics to estimate benchmarked (i.e. risk-adjusted)
police homicide rates in 2008–2017 among the 711 local PDs serving 50,000 or more
residents, a sample with demographics resembling all mid-to-large Census places.
The benchmarked rate estimates capture PD deadliness by comparing PDs to peers
whose officers face similar risks while adjusting for access to trauma care
centers to account for differential mortality from deadly force. Compared to
existing estimates, differences in benchmarked estimates are more plausibly
attributable to policing differences, speaking to whether the force currently used
is necessary to maintain safety and public order. I find that the deadliest PDs
kill at 6.91 times the benchmarked rate of the least deadly PDs. If the PDs with
above-average deadliness instead killed at average rates for a PD facing similar
risks, police homicides would decrease by 34.44%. Reducing deadliness to the
lowest observed levels would decrease them by 70.04%. These estimates also
indicate the percentage of excess police homicides—those unnecessary for
maintaining safety—if the baseline agency is assumed to be optimally deadly.
Moreover, PD deadliness has a strong, robust association with White/Black
segregation and Western regions. Additionally, Black, Hispanic, foreign-born,
lower income, and less educated people are disproportionately exposed to deadlier
PDs due to the jurisdictions they reside in. Police violence is an important
public health concern that is distributed unevenly across US places, contributing
to social disparities that disproportionately harm already marginalized
communities.
Publisher
Oxford University Press (OUP)