This study focuses on the effects of previous victimization and patterns of routine activities on the risk of falling victim to seven types of crime: sexual offense, assault, threat, burglary, personal larceny, car theft and bicycle theft. To examine these effects' individual life-course data on marital, fertility, residential, educational, employment and criminal histories were related to histories of criminal victimization. These data derived from a nationally representative survey administered in the Netherlands in 1996 to 1,939 individuals age 15 years or older. Logistic multilevel models were used in the analysis of the data. The results of the analyses suggest that individuals who have once been victims suffer a substantial higher risk of subsequent victimization. This effect of previous victimization can partly be explained by a real effect of previous victimization (state dependence), but more largely by the effects of patterns of routine activities (heterogeneity in the population).
Changes in neighborhood status result primarily from the selective migration of income groups into and out of areas. These changes, in turn, are related to the chance of becoming the victim of a crime in a locality. Drawing on social disorganization theory, this study argues that victimization is more likely in disadvantaged neighborhoods as well as in neighborhoods where socioeconomic improvements are taking place. Gentrifying neighborhoods may suffer from social instability caused by the strong influx of new residents and from social heterogeneity, which is caused by the simultaneous presence of different income groups and, depending on local context, different ethnic groups. We test these hypotheses with Dutch victimization survey data among approximately 70,000 respondents, distributed across 2,500 neighborhoods within 500 municipalities in the Netherlands. The results show that, controlling for various individual, neighborhood, and city characteristics, intensive socioeconomic improvement of neighborhoods is related to higher victimization risk for theft, violence, and vandalism. In the Netherlands, high levels of residential instability in gentrifying areas are the mediating mechanism responsible for this relationship, while varying levels of ethnic and income heterogeneity are not. The results confirm that social disorganization is dependent not only upon the socioeconomic composition of neighborhoods, but also upon their socioeconomic dynamics.
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