Six months in: pandemic crime trends in England and Wales
Abstract Governments around the world have enforced strict guidelines on social interaction and mobility to control the spread of the COVID-19 virus. Evidence has begun to emerge which suggests that such dramatic changes in people’s routine activities have yielded similarly dramatic changes in crimi...
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doaj-018690199fed46d9b9c095b2a203ea3c2021-03-11T11:55:48ZengBMCCrime Science2193-76802021-03-0110111610.1186/s40163-021-00142-zSix months in: pandemic crime trends in England and WalesSamuel Langton0Anthony Dixon1Graham Farrell2School of Law, University of LeedsSchool of Law, University of LeedsSchool of Law, University of LeedsAbstract Governments around the world have enforced strict guidelines on social interaction and mobility to control the spread of the COVID-19 virus. Evidence has begun to emerge which suggests that such dramatic changes in people’s routine activities have yielded similarly dramatic changes in criminal behavior. This study represents the first ‘look back’ on six months of the nationwide lockdown in England and Wales. Using open police-recorded crime trends, we provide a comparison between expected and observed crime rates for fourteen different offence categories between March and August, 2020. We find that most crime types experienced sharp, short-term declines during the first full month of lockdown. This was followed by a gradual resurgence as restrictions were relaxed. Major exceptions include anti-social behavior and drug crimes. Findings shed light on the opportunity structures for crime and the nuances of using police records to study crime during the pandemic.https://doi.org/10.1186/s40163-021-00142-zCOVID-19Time seriesARIMARoutine activitiesOpportunity theoryPandemic |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Samuel Langton Anthony Dixon Graham Farrell |
spellingShingle |
Samuel Langton Anthony Dixon Graham Farrell Six months in: pandemic crime trends in England and Wales Crime Science COVID-19 Time series ARIMA Routine activities Opportunity theory Pandemic |
author_facet |
Samuel Langton Anthony Dixon Graham Farrell |
author_sort |
Samuel Langton |
title |
Six months in: pandemic crime trends in England and Wales |
title_short |
Six months in: pandemic crime trends in England and Wales |
title_full |
Six months in: pandemic crime trends in England and Wales |
title_fullStr |
Six months in: pandemic crime trends in England and Wales |
title_full_unstemmed |
Six months in: pandemic crime trends in England and Wales |
title_sort |
six months in: pandemic crime trends in england and wales |
publisher |
BMC |
series |
Crime Science |
issn |
2193-7680 |
publishDate |
2021-03-01 |
description |
Abstract Governments around the world have enforced strict guidelines on social interaction and mobility to control the spread of the COVID-19 virus. Evidence has begun to emerge which suggests that such dramatic changes in people’s routine activities have yielded similarly dramatic changes in criminal behavior. This study represents the first ‘look back’ on six months of the nationwide lockdown in England and Wales. Using open police-recorded crime trends, we provide a comparison between expected and observed crime rates for fourteen different offence categories between March and August, 2020. We find that most crime types experienced sharp, short-term declines during the first full month of lockdown. This was followed by a gradual resurgence as restrictions were relaxed. Major exceptions include anti-social behavior and drug crimes. Findings shed light on the opportunity structures for crime and the nuances of using police records to study crime during the pandemic. |
topic |
COVID-19 Time series ARIMA Routine activities Opportunity theory Pandemic |
url |
https://doi.org/10.1186/s40163-021-00142-z |
work_keys_str_mv |
AT samuellangton sixmonthsinpandemiccrimetrendsinenglandandwales AT anthonydixon sixmonthsinpandemiccrimetrendsinenglandandwales AT grahamfarrell sixmonthsinpandemiccrimetrendsinenglandandwales |
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