MEASURING THE DARK FIGURE OF CRIME IN GEOGRAPHIC AREAS: SMALL AREA ESTIMATION FROM THE CRIME SURVEY FOR ENGLAND AND WALES
MEASURING THE DARK FIGURE OF CRIME IN GEOGRAPHIC AREAS: SMALL AREA ESTIMATION FROM THE CRIME SURVEY FOR ENGLAND AND WALES
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DOI：
10.1093/bjc/azaa067
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发表时间：
2021-03-01
影响因子：
2.6
通讯作者：
Shlomo, Natalie
中科院分区：
文献类型：
--
作者：
Buil-Gil, David;Medina, Juanjo;Shlomo, Natalie
几十年来，犯罪学家已经意识到警察记录中的黑暗人物对犯罪预防策略的严重后果。犯罪调查的开发是为了解决警察统计数据作为犯罪数据来源的局限性，而调查产生的估计可以减少警察数据的偏差。本文根据英格兰和威尔士犯罪调查，对当地和社区层面警方未知的犯罪行为进行了小范围估计，以探索犯罪黑暗人物的地理不平等。犯罪的黑暗数字不仅在贫困的小城市更大，而且在富裕的城市也更大。在郊区、低矮住房社区以及大量不合格公民、移民和非亚裔少数族裔集中的地区，这一数字也更大。
For decades, criminologists have been aware of the severe consequences of the dark figure of police records for crime prevention strategies. Crime surveys are developed to address the limitations of police statistics as crime data sources, and estimates produced from surveys can mitigate biases in police data. This paper produces small area estimates of crimes unknown to the police at local and neighbourhood levels from the Crime Survey for England and Wales to explore the geographical inequality of the dark figure of crime. The dark figure of crime is larger not only in small cities that are deprived but also in wealthy municipalities. The dark figure is also larger in suburban., low-housing neighbourhoods with large concentrations of unqualified citizens, immigrants and non Asian minorities.