Abstract

Research QuestionCan a reliable measure of precise harm levels for the 100 most harmful and frequently occurring offences be developed in Western Australia (WA) based on analysis of actual court penalties for first-time offenders?DataCriminal and traffic court sentences in 2.2 million records over 6.5 years were analysed to extract the number of days of imprisonment actually imposed in sentencing decisions for approximately 52,000 first-time offenders (see House 2017).MethodsSentences for all first offenders in a sample of the 102 most common offence categories were analysed to compute for the median number of days of imprisonment to which each first offender was sentenced in each of the categories. Monetary penalties and conditional community sentences were converted to equivalent ‘prison days’ and added to the computation of the median of days of imprisonment per offence category. The number of reported offences in WA in the study period for each of the 102 categories was then multiplied by the median prison days sentenced per category. The sum of the products of median prison days times offence count was then tallied across all offence categories to form a weighted index of crime harm, which we define as the Western Australian Crime Harm Index (WACHI). Applying a minimum requirement of at least five separate court cases for each crime category, a total of 88 offence categories survived the reliability threshold for inclusion in the index.FindingsThe 88 offence categories in the WACHI contain both high-harm and high-volume offences, permitting 95% of all offences reported for over 5 years to be assessed for WACHI scores. The counts for these offences moved in different directions from the WACHI total in two of the four year-to-year comparisons. Changes in WACHI were shown to have been highly sensitive to increased reporting of historical sex crimes, isolated in one district each of both Metropolitan Perth and one Regional centre.ConclusionsCarefully implemented use of the West Australian CHI could improve both public safety and policing by adding precision to resource allocation decisions, assessments of priorities and evaluations of policing initiatives. The WACHI would be even more reflective of the changing level of harm to victims if all crime trends were to be based on crimes that occurred in the year under analysis, with separate reporting of crimes that happened many years ago. With that key adjustment, police professionals, department of justice officials, citizens and local governments can use a WACHI to make better decisions about how to prioritise policing in a wide range of contexts.

Highlights

  • Counts of reported crimes, arrests and response times have long been the yardsticks by which police performance has been measured (Alpert and Moore 1993; Sherman 2013)

  • The Western Australian Crime Harm Index (WACHI) would be even more reflective of the changing level of harm to victims if all crime trends were to be based on crimes that occurred in the year under analysis, with separate reporting of crimes that happened many years ago

  • Additional statistics are captured within the full WACHI table in the Appendix Table 6

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Summary

Conclusions

This article demonstrates that a crime harm index (Sherman et al 2016b) can be calculated in Western Australia based on the median number of days of imprisonment (or its equivalent) imposed as sentences for each offence category, covering 95% of all reported crimes. It shows that the WACHI can produce different conclusions about trends in public safety than can be seen by merely observing changes in total crime counts—or even counts of one offence type at a time. As House (2017) points out, increasing numbers of police impact evaluations employ a crime harm index These studies often reach different conclusions from analyses using only crime count measures. Even if it is not adopted as the benchmark reference frame for harm, this article may at least re-ignite the conversation about the pressing need for a standardised method of crime harm measurement

Introduction
Limitations and Data
Findings
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