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The purpose of this research is to extend the recent work related to routine activity theory and identity theft, a crime in which victims and offenders never have physical contact. Data from a sample of 73,071 respondents from the 2008 National Crime Victimization Survey Identity Theft Supplement were analyzed. Utilizing binary logistic regression, the relationship between individuals’ online activities, individual characteristics (e.g., gender, age, and employment) and the likelihood of identity theft victimization are analyzed. The results show that males and those with higher incomes are more likely to experience identity theft victimization. Future research should explore online and offline routines to determine the risk of identity theft victimization.