A Multilevel Analysis of the Vulnerability, Disorder, and Social Integration Models of Fear of Crime

The current research tests three conceptual models designed to explain citizens’ fear of crime—vulnerability, disorder, and social integration. These models are assessed for differential impact across the cognitive and affective dimensions of fear of crime. The analysis reported here considers the consecutive and simultaneous influence of individual- and city-level factors using multilevel modeling techniques. Recently collected survey data for 2,599 citizens nested within 21 cities across Washington State provide the empirical evidence for the analysis. Results indicate that the disorder model is best able to explain variation in both the cognitive and affective dimensions of citizens’ fear of crime across cities. The vulnerability and social integration models explain significantly less variation. Further, the vulnerability model lacks directional consistency across the observed dimensions of fear. Societal implications of the research findings are discussed.