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Predicting Fear of Crime

Considering Differences Across Gender

Sam Houston State University, Huntsville, Texas

Travis W. Franklin

Sam Houston State University, Huntsville, Texas

The current research tests the vulnerability, disorder, and social integration models to determine their relative predictive capacity across separate female and male citizen samples on fear of crime. Although previous literature typically includes gender as a control variable, the present analysis goes beyond this to determine whether the models function differently according to gender. Findings indicate that there are in fact significant differences in predictors of female and male fear of crime. Increased age reduces fear for women but not men, and increased income leads to higher levels of fear for men but lower levels for women. Theoretical implications and future research directions are discussed.

Key Words: fear of crime • gender • female fear • fear of victimization • fear of crime • vulnerability model • disorder model • social integration model

This version was published on January 1, 2009

Feminist Criminology, Vol. 4, No. 1, 83-106 (2009)
DOI: 10.1177/1557085108325196


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