Differentiating identity theft: An exploratory study of victims using a national victimization survey

Despite the widespread attention given to identity theft, there is much confusion on how best to define and measure it. Recent attempts to measure its extent through victimization surveys or law enforcement files have varied considerably in the types of crimes included as identity theft. Some studies include credit card fraud, while others exclude it. This inconsistency in data collection has made it difficult to assess properly the extent of the crime. The current study uses data from the National Public Survey on White Collar Crime to determine the degree to which including credit card fraud as a type of identity theft affects victim profiles encompassing demographic characteristics, risky activities, and reporting decisions. Specifically, we compare victim profiles for victims of existing credit card fraud, new credit card fraud, and existing bank account fraud. Findings from our exploratory study suggest that including existing credit card fraud may obscure the fact that those who are female, black, young, and low income are disproportionately victimized by existing bank account fraud, which is the type of identity theft most financially damaging and most difficult to clear up for individuals.

Research Highlights►The typical identity theft victim is white, female, between 35 and 54, earned $50,000-$75,000 per year, and seldom reports the fraud to crime control agencies. ►Victims of existing credit card fraud differ from victims of other types of identity theft. ►Including existing credit card fraud as a form of identity theft obscures the fact that victims of bank account fraud are more likely to come from under-privileged groups.