Targeting Domestic Abuse with Police Data

Domestic abuse has become a major part of police business in two powerful aspects: level of harm caused to victims and the amount of resources required to respond to it. Part of the police response in England and Wales is to gather hundreds of thousands of detailed records about victims and suspects. Yet until now, very little has been done with this information to generate meaningful insights that might improve the police response further. This book explores the potential of these data. It analyzes three substantial datasets taken from police forces across the country. It addresses the questions:

• Why police data can be used to derive meaningful insight
• How should we use these data to measure harm?
• Just how much domestic abuse involves a repeat victim?
• What is the level of harm caused by serial perpetrators compared to other types of offenders?
• Does abuse get more serious over time?
• Can serious domestic abuse be predicted before it occurs?

Taken together, these analyses illustrate the scale of the challenge the police and other agencies face with reducing domestic abuse. A small proportion of individuals generate a majority of harm, and there are very limited opportunities to identify these individuals before the harm occurs. Yet, police records offer some opportunities. Targeting Domestic Abuse with Police Data, shows how statistical techniques can be used to profile domestic abuse to target harm reduction strategies more precisely and even identify a sizable proportion of serious cases before they occur.

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