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Data-Driven Method for Identification of Top Offenders

Criminal justice research indicates that a small percentage of offenders commit a disproportionate amount of crime, often presented as X% of offenders responsible for Y% of crime. As a result, various policing strategies—predominately intelligence-led policing—recommend a focus on the key percentage of top, repeat, or high-profile offenders. In operationalizing this concept, law enforcement organizations have developed various methods of identifying top offenders. The use of simple metrics, such as number of convictions or arrests, is one of the most basic methods. However, through crime and intelligence analysis, identification of top or repeat offenders can be more robust. This article describes one sophisticated, data-driven mechanism for determining offenders.


Published: 2017