Crimes committed by recent immigrants: Characteristics and community patterns

IF 1.3 Q3 CRIMINOLOGY & PENOLOGY Journal of Ethnicity in Criminal Justice Pub Date : 2023-09-19 DOI:10.1080/15377938.2023.2256248
Davis Shelfer, Yan Zhang
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An exploration of neighborhood contextual influences and interaction effects reveals further nuances. Directions for future research and implications for evidence-based policy are discussed.Keywords: Citizenshipcrime severityimmigrationmultilevel multinomial model Disclosure statementThe author(s) report there are no competing interests to declare.Notes1 We use the term “recent immigrant,” in alignment with public perceptions and theories of immigration-and-crime (e.g., social disorganization), interchangeably with our operationalization “non-U.S. citizen” since earning U.S. citizenship takes several years. We assume that most of the non-U.S. citizens in our sample are recent immigrants and most of the U.S. citizens in our sample are either native-born or assimilated, naturalized immigrants; however, we cannot test the accuracy of this supposition due to the lack of a national origin variable in our dataset. The concept of immigration should not be misunderstood as identical to citizenship, since 45% of foreign-born people living in the United States (i.e., immigrants) have earned U.S. citizenship through naturalization (Budiman, Citation2020).2 We obtained three years (2015–2017) of crime arrest data from Houston Police Department that included arrestee citizenship. The examination of the 2015 and 2016 data showed that citizenship was missing in 46.1% and 26.9% of each year’s data respectively. Therefore, we decided to only use the 2017 data, which had enough cases and only 1.5% missing values in citizenship.3 This discrepancy is caused by the fact that some arrests occurred for incidents that took place prior to 2017. For example, someone arrested in 2017 for an offense committed in 1999 would appear in our 2017 arrest data but not in our 2017 crime incident data.4 The lowest level of citizen and non-citizen data available from the American Community Survey 2017 data is census tract level data. Each Super Neighborhood intersects with multiple census tracts. A weight is assigned to a census tract based on the percentage of geographic area located inside the Super Neighborhoods. The sum of weighted total of non-U.S. citizens ∑i=1kwiIi (where w is the weight of census tract i, and I is the non-U.S. citizen population of census tract i), is used to approximate the total non-U.S. citizens in a Super Neighborhood.5 Given our large sample size (n = 38,264), we do not interpret main effects as significant based on a p < 0.05 alpha threshold. 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Abstract

AbstractThe notion persists that recent immigrants commit substantively more serious crimes than citizens, but prior research has only used aggregate-level data or youth-focused samples. We address this gap using individual-level 2017 crime arrest data from the Houston Police Department (HPD) that include citizenship, supplemented by Houston Super Neighborhoods data and American Community Survey estimates. We conduct bivariate and multilevel multinomial analyses to compare crime characteristics and neighborhood-level influences on offending by citizenship, finding that non-U.S. citizen arrestees were less likely to have been arrested for felonies, drug crimes, and Part I property crimes than U.S. citizen arrestees. An exploration of neighborhood contextual influences and interaction effects reveals further nuances. Directions for future research and implications for evidence-based policy are discussed.Keywords: Citizenshipcrime severityimmigrationmultilevel multinomial model Disclosure statementThe author(s) report there are no competing interests to declare.Notes1 We use the term “recent immigrant,” in alignment with public perceptions and theories of immigration-and-crime (e.g., social disorganization), interchangeably with our operationalization “non-U.S. citizen” since earning U.S. citizenship takes several years. We assume that most of the non-U.S. citizens in our sample are recent immigrants and most of the U.S. citizens in our sample are either native-born or assimilated, naturalized immigrants; however, we cannot test the accuracy of this supposition due to the lack of a national origin variable in our dataset. The concept of immigration should not be misunderstood as identical to citizenship, since 45% of foreign-born people living in the United States (i.e., immigrants) have earned U.S. citizenship through naturalization (Budiman, Citation2020).2 We obtained three years (2015–2017) of crime arrest data from Houston Police Department that included arrestee citizenship. The examination of the 2015 and 2016 data showed that citizenship was missing in 46.1% and 26.9% of each year’s data respectively. Therefore, we decided to only use the 2017 data, which had enough cases and only 1.5% missing values in citizenship.3 This discrepancy is caused by the fact that some arrests occurred for incidents that took place prior to 2017. For example, someone arrested in 2017 for an offense committed in 1999 would appear in our 2017 arrest data but not in our 2017 crime incident data.4 The lowest level of citizen and non-citizen data available from the American Community Survey 2017 data is census tract level data. Each Super Neighborhood intersects with multiple census tracts. A weight is assigned to a census tract based on the percentage of geographic area located inside the Super Neighborhoods. The sum of weighted total of non-U.S. citizens ∑i=1kwiIi (where w is the weight of census tract i, and I is the non-U.S. citizen population of census tract i), is used to approximate the total non-U.S. citizens in a Super Neighborhood.5 Given our large sample size (n = 38,264), we do not interpret main effects as significant based on a p < 0.05 alpha threshold. Only p < 0.01 and p < 0.001 level are considered significant in the current study, except for interaction terms (Table 3) since statistical power is reduced when considering interaction effects.Additional informationNotes on contributorsDavis ShelferDavis Shelfer is a PhD candidate in the Department of Criminal Justice and Criminology at Sam Houston State University. His research interests include immigration-and-crime and innovations in policing. His recent publications include a systematic review of Project Safe Neighborhoods evaluations and a test of the immigration revitalization perspective.Yan ZhangYan Zhang is a Professor in the Department of Criminal Justice and Criminology at Sam Houston State University. Her recent work has appeared in Journal of Criminal Justice, Crime & Delinquency, Police Quarterly, and Justice Quarterly. Her current research focuses on policing and crime, social contextual effects on policing, and law enforcement program evaluation.
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新移民犯罪特征与社区模式
摘要有观点认为,新移民比普通公民犯下了更严重的罪行,但之前的研究只使用了总体水平的数据或以年轻人为重点的样本。我们使用休斯顿警察局(HPD) 2017年个人层面的犯罪逮捕数据(包括公民身份),并辅以休斯顿超级社区数据和美国社区调查估计数据,来解决这一差距。我们进行了双变量和多层次多项分析,比较了犯罪特征和社区水平对公民身份对犯罪的影响。与美国公民被捕者相比,公民被捕者因重罪、毒品犯罪和第一部分财产犯罪被捕的可能性更小。对邻里环境影响和互动效应的探索揭示了进一步的细微差别。讨论了未来研究的方向和对循证政策的启示。关键词:公民身份犯罪严重程度移民多层次多项模型披露声明作者报告无利益冲突需要申报注1:我们使用“新移民”一词,与公众对移民和犯罪的看法和理论(例如,社会解体)保持一致,与我们的操作化“非美国移民”互换。因为获得美国公民身份需要几年时间。我们假设大多数非美国。我们样本中的公民是新移民,我们样本中的大多数美国公民要么是本土出生的,要么是被同化、归化的移民;然而,由于我们的数据集中缺乏国家来源变量,我们无法测试这一假设的准确性。移民的概念不应该被误解为等同于公民身份,因为居住在美国的45%的外国出生的人(即移民)通过归化获得了美国公民身份(Budiman, Citation2020)我们从休斯顿警察局获得了三年(2015-2017)的犯罪逮捕数据,其中包括被捕者的公民身份。对2015年和2016年数据的检查显示,每年的数据中,公民身份缺失的比例分别为46.1%和26.9%。因此,我们决定只使用2017年的数据,其中有足够的案例,只有1.5%的公民身份缺失值造成这种差异的原因是,一些逮捕发生在2017年之前。例如,在2017年因1999年犯罪而被捕的人会出现在我们的2017年逮捕数据中,但不会出现在我们的2017年犯罪事件数据中2017年美国社区调查数据中最低水平的公民和非公民数据是人口普查区数据。每个超级社区都与多个人口普查区相交。根据位于超级社区内的地理区域的百分比为人口普查区分配权重。非美国学生的加权总数之和。∑i=1kwiIi(其中w为人口普查区i的权重,i为非美国人口普查区i的权重)。人口普查区i的公民人口),用于估计非美国人口总数。考虑到我们的大样本量(n = 38,264),基于p < 0.05 alpha阈值,我们不会将主效应解释为显著。在本研究中,除了相互作用项(表3)外,只有p < 0.01和p < 0.001水平被认为是显著的,因为在考虑相互作用效应时,统计能力降低了。作者简介:davis Shelfer davis Shelfer是山姆休斯顿州立大学刑事司法和犯罪学专业的博士候选人。他的研究兴趣包括移民和犯罪以及警务创新。他最近的出版物包括对安全社区项目评估的系统回顾和对移民振兴观点的测试。张燕,山姆休斯顿州立大学刑事司法与犯罪学教授。她最近的作品出现在刑事司法杂志,犯罪与犯罪,警察季刊,司法季刊。她目前的研究重点是警务和犯罪,社会环境对警务的影响,以及执法项目评估。
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来源期刊
CiteScore
1.70
自引率
16.70%
发文量
16
期刊介绍: The Journal of Ethnicity in Criminal Justice explores the prejudice that currently affects our judicial system, our courts, our prisons, and our neighborhoods all around the world. This unique multidisciplinary journal is the only publication that focuses exclusively on crime, criminal justice, and ethnicity/race. Here you"ll find insightful commentaries, position papers, and examinations of new and existing legislation by scholars and professionals committed to the study of ethnicity and criminal justice. In addition, the Journal of Ethnicity in Criminal Justice presents the latest empirical findings, theoretical discussion, and research on social and criminal justice issues.
期刊最新文献
Rape victim advocates’ perceptions of a racial bias in the #MeToo movement Race differences in the impact of juvenile detention on likelihood of young adult incarceration of males aging out of care A systematic review of systems-level strategies to reduce disproportionate minority contact in juvenile justice systems Is ethnic and racial identity a potentiating or protective factor in the association between youth victimization and gang-joining? Distinguishing between exploration and affirmation Time lost as a result of wrongful conviction: the impact of race and official misconduct across offense categories
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