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Predicting bias homicide across victim groups: A county-level analysis
Kayla Allison1, Casey T Harris2
1Departments of Criminal Justice and Sociology, Indiana University-Bloomington, 302 Sycamore Hall, Bloomington, IN 47405, United States.
Social Science Research
|July 3, 2018
Summary
This study identifies community factors predicting bias homicides. Understanding these predictors helps law enforcement and policymakers prevent and respond to fatal hate crimes.
Area of Science:
- Criminology
- Sociology
- Public Health
Background:
- Limited research exists on variations in bias crime occurrences across communities.
- Few studies explore how community-level factors influence violent and non-violent bias crimes among different victim groups.
Purpose of the Study:
- To identify structural predictors of bias homicide likelihood.
- To examine how structural predictors differ across various victim groups targeted by bias crimes.
Main Methods:
- Utilized data on bias homicide from the United States Extremist Crime Database (ECDB) spanning 1990-2014.
- Integrated socio-structural variables from the United States Census Bureau for analysis.
Main Results:
- Analysis revealed specific community-level structural factors associated with increased likelihood of bias homicides.
- Differences in these predictors were observed across distinct victim demographics, indicating varied risk factors.
Conclusions:
- Findings offer insights into the spatial distribution of fatal bias crimes.
- Results can inform targeted prevention and response strategies for law enforcement and policymakers to address hate-motivated violence.
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