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Recent contextual analyses of victimization survey data are extended by application of hierarchical logistic model techniques. Using a multi‐stage sample of 5,090 Seattle residents, we estimate models for individuals' risks of violent crime and burglary victimization as a function of both individual crime opportunity factors (routine activity and personal lifestyle) and contextual indicators of neighborhood social disorganization (neighborhood incivilities on conditions of disorder, ethnic heterogeneity, and neighborhood density in terms of both residents and strangers). Strong contextual direct effects of density, disorder, and heterogeneity are observed for violent and or burglary risks. Further, the hierarchical method used here provides a richer type of contextual analysis, indicating that neighborhood factors also “condition” the impact of crime opportunity factors for risk of both violent and burglary victimization. Implications for theoretical integration, victimization prevention strategies, and crime control policies are discussed.
Rountree et al. (1994) studied this question.