Structural Covariates of Gang Homicide in Large U.S. Cities

Abstract

Objectives:This study examined the structural covariates of gang homicide in large U.S. cities and whether the structural conditions associated with gang homicide differed from non-gang homicide. Methods:Several national data sources were used to gather information on the structural conditions of the 88 largest U.S. cities, including the U.S. Census Bureau, Law Enforcement Management and Administrative Statistics, Uniform Crime Report, and National Gang Center. Negative binomial regression was used to model the relationship between the structural conditions of cities and homicide rates. Results:Socioeconomic deprivation, official rates of gang membership, and population density explained between-city variability in gang homicide rates. In addition, quadratic associations were observed for socioeconomic deprivation and population density. Equality of coefficients tests revealed that the structural covariates of gang homicide differed in magnitude from non-gang homicide. Conclusions:Prior to this study, the etiology of gang homicide was found to differ from other homicide types in terms of event characteristics and sub-city correlates. This macro-level study extended this line of research to cities, providing evidence that the structural correlates of violence operated differently for gang homicide.