Victim-Offender Overlap in Violent Crime: Targeting Crime Harm in a Canadian Suburb
Authors
Hiltz, Natalie
Bland, Matthew
Barnes, Geoffrey C
Publication Date
2020-12Journal Title
Cambridge Journal of Evidence-Based Policing
ISSN
2520-1344
Publisher
Springer Science and Business Media LLC
Volume
4
Issue
3-4
Pages
114-124
Language
en
Type
Article
This Version
VoR
Metadata
Show full item recordCitation
Hiltz, N., Bland, M., & Barnes, G. C. (2020). Victim-Offender Overlap in Violent Crime: Targeting Crime Harm in a Canadian Suburb. Cambridge Journal of Evidence-Based Policing, 4 (3-4), 114-124. https://doi.org/10.1007/s41887-020-00056-x
Description
Funder: University of Cambridge
Abstract
<jats:title>Abstract</jats:title><jats:sec>
<jats:title>Research Question</jats:title>
<jats:p>To what extent are victims of violent crime also offenders, and vice versa, with what concentrations of total crime harm across each person who has ever been reported as both a victim and an offender within the study period?</jats:p>
</jats:sec><jats:sec>
<jats:title>Data</jats:title>
<jats:p>We analyse 27,233 unique individuals who were the subject of violent crime reports to the Peel Regional Police Service in Canada, either as offenders, victims, or both, for crimes reported between January 1, 2014, and December 31, 2016. Each individual linked to a violent crime in this period was tracked for the 730 days subsequent to the first crime report naming them.</jats:p>
</jats:sec><jats:sec>
<jats:title>Methods</jats:title>
<jats:p>We coded each crime with the Canadian Crime Severity Index (CCSI) to calculate victimization and offending harm totals across all incidents for each individual. We then computed each individual’s ratio of total CCSI from victimization to total CCSI from victimization. Based on the distribution of these ratios of CCSI from all offending to all victimization, we show how police can distinguish three categories of victim-offenders (VOs): predominant victims (PVs), predominant offenders (POs), and balanced victim-offenders (BVOs), as well as the single-category absolute offenders (AOs) and absolute victims (AVs).</jats:p>
</jats:sec><jats:sec>
<jats:title>Findings</jats:title>
<jats:p>Across all 27,233 individuals tracked, 17,138 (64%) appeared first as victims, and 10,095 (36%) appeared first as suspects. Of those appearing first as victims, 997 (6%) are linked to a violent crime as an offender within 730 days. Among those appearing first as offenders, 1019 (10%) are subsequently reported as victimized within 730 days. The total of this combined group (VOs) = 1665 individuals (6% of the entire population). Using a 3.5:1 ratio of victim to offender harm, we subdivide the 1665 VOs further into 322 predominant victims, 280 predominant offenders, and 1063 balanced victim-offenders. The 20% of individuals (<jats:italic>n</jats:italic> = 5455) with highest harm are linked to 71% of overall harm. On average, predominant offenders (who have also been victimized) are associated with 2.7 times as much harm as absolute offenders, and predominant victims (who have also been offenders) have three times as much harm as absolute victims.</jats:p>
</jats:sec><jats:sec>
<jats:title>Conclusions</jats:title>
<jats:p>This research shows how combining records of victimization and offending to target higher harm levels with greater potential benefits for police investments in harm reduction and prevention.</jats:p>
</jats:sec>
Keywords
Violence Research, Prevention, Mental Health, Mental health
Identifiers
s41887-020-00056-x, 56
External DOI: https://doi.org/10.1007/s41887-020-00056-x
This record's URL: https://www.repository.cam.ac.uk/handle/1810/315605
Rights
Attribution 4.0 International (CC BY 4.0)
Licence URL: https://creativecommons.org/licenses/by/4.0/
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