Abstract

Identity theft is among the fastest growing white-collar crimes in the United States, although official recognition of it as a criminal act is a relatively recent development. Utilizing theoretical framework established in crime geography, GIS mapping and spatial statistics are employed to conduct a spatial analysis of identity theft in the U.S. from 2002 to 2006. Distinct regional variations, such as high rates in the western and southwestern states, and low rates in New England and the central plains states, are identified for identity theft. Significant spatial patterns of identity theft victims alongside social demographic variables are also revealed in order to better understand the regional patterns that may suggest underlying social causes contributing to identity theft. Potential social variables, such as race/ethnicity and urban–rural populations, are shown to have similar patterns that may be directly associated with U.S. identity theft victims.

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