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CRIMINOLOGY

NATURE OR CRIME-HISTORY-CAUSES-STATISTICS

Understanding revictimisation through an intersectional lens

By Lisa Tompson, Apriel Jolliffe Simpson, Richard Wortley, Bridget O’Keeffe & Devon Polaschek

Policy efforts based on evidence about risk for re-victimisation both protect some of the most vulnerable people in society and have a good chance of reducing crime levels overall (Farrell and Pease, 1993; Grove et al., 2012; Pease et al., 2018). While research has established that the phenomenon of re-victimisation is ubiquitous, less is known about what makes some people more vulnerable to re-victimisation than others (Hamilton and Browne, 1998; Nazaretian and Fitch, 2021). Enhanced understanding of who these people are is thus crucial for developing contemporary victim-centred crime prevention policy. Victimology theories suggest that people at high risk of victimisation are typified by multiple overlapping and intersecting personal characteristics (e.g., gender, age, race/ethnicity, class, disability status, sexual identity), rather than forming homogeneous higher-order groups (e.g., delineated by a single personal characteristic; Shoham et al, 2010; Walklate, 2012). Accordingly, in this study we examined socio-demographic characteristics (e.g., gender, age, ethnicity, disability status, sexual identity) of people who were re-victimised, with an emphasis on intersectionality1. That is, we focused on identifying where the co-occurrence of socio-demographic characteristics intensified risk of re-victimisation. We use re-victimisation as an umbrella term to cover: • Poly-victimisation (i.e., >1 victimisation for different types of crime), and • Repeat-victimisation (i.e., >1 victimisation for different types of crime) for 11 different crime types. We therefore analysed 12 different types of re-victimisation over five waves of the New Zealand Crime and Victims Survey (NZCVS) in the privacy- and security-protected environment of Statistics New Zealand’s Integrated Data Infrastructure (IDI) with Conjunctive Analysis of Case Configurations. This method enabled us to position groups (i.e., combinations of characteristics) as the unit of analysis and identify where intersecting characteristics were associated with high rates of re-victimisation and isolate when particular individual characteristics were especially noteworthy. This research makes four important contributions to the evidence base on victimisation. First, while re-victimisation experiences have been studied for a range of crime types internationally (see Farrell et al., 2005), this is the first research to do so for Aotearoa New Zealand. Second, it adds to the scant evidence base on poly-victimisation. Third, it corroborates the empirical findings from other countries that risk of re-victimisation increases cumulatively (Johnson et al., 1997), hence the need for policies and practices that get upstream of the problem and prevent re-victimisation at the earliest opportunity. Fourth, this research advances knowledge on how socio-demographic characteristics intersect to elevate risk of re-victimisation. The findings are relevant for policymakers developing victimisation prevention programmes across various organisations in Aotearoa New Zealand.

Te Puna Haumaru New Zealand Institute for Security and Crime Science, The University of Waikato , 2025. 105p.

More than meets the eye: examining the impact of hot spots policing on the reduction of city-wide crime

By Brandon Tregle, Michael R. Smith, Chantal Fahmy & Rob Tillyer

Hot spots policing is an effective, evidence-based strategy that reduces violent crime within small geographic units, or “hot spots,” in urban areas. A strong body of research demonstrates that these hot spots disproportionately contribute to cities’ overall crime rates. However, the existing literature has yet to answer a critical question: Can the localized crime reductions achieved through hot spots policing make a significant enough contribution to lower overall crime rates across an entire city? To address this gap, we examined seven years of violent crime data from three major Texas cities. One city underwent a two-year targeted hot spots policing intervention, while the other two cities served as counter-factual, similarly situated jurisdictions. We used interrupted time series analysis (ITSA) to examine longitudinal crime patterns in all three cities. The findings indicate that, compared to the control cities, the treatment city experienced a significant and substantial reduction in overall violent crime at the point of intervention. This decrease suggests that the hot spots intervention directly contributed to city-wide crime reduction, extending its impact beyond the designated hot spots.

Crime Sci 14, 3 (2025).

De Gruyter Handbook of Digital Criminology

Edited by Mareile KaufmannHeidi Mork Lomell

The De Gruyter Handbook of Digital Criminology examines how digital devices spread and cut across all fields of crime and control. Providing a glossary of key theoretical, methodological and criminological concepts, the book defines and further establishes a vibrant, rapidly developing field. Focusing on central criminological phenomena, it provides a framework that will enable readers to bring their own research themes into digital environments.

UBerlin/Boston, De Gruyter, 2025. 525p.

Hurt, Baby, Hurt

By William Walter Scott III

The 1967 Detroit Rebellion was the bloodiest of the urban riots in the United States during the “Long hot summer of 1967.” Hurt, Baby, Hurt takes a personal look at the Rebellion from the perspective of William Walter Scott, III. The Rebellion began when police raided an unlicensed drinking club owned by Scott’s father and continued for five days, resulting in forty-three deaths and even more injuries, fires, and arrests. Scott, who was just 19 at the time and working as a doorman at his father’s club, is widely recognized as the man who started the Rebellion by throwing a bottle at one of the police officers. This memoir recounts Scott’s life from his birth up through the Rebellion. It tells the story of how the Rebellion started and provides an on-the-ground account of the Rebellion and its immediate aftermath, including the police detainment of the people involved. Now with a new foreword by Austin McCoy that considers the lasting impact of the rebellion, Hurt, Baby, Hurt offers valuable insight into an important part of Detroit history.\

Ann Arbor: University of Michigan Press, 2025. 143p.

A Critical Review of Street Lighting, Crime and the Fear of Crime in the British City.

By Cozens, P. M., Neale, R. H., Whitaker, J., Hillier, D., Graham, M.

This paper critically examines the relationship between street lighting and crime in the British city context. Prompted by recent government investment to modernize street lighting, the authors analyze how lighting affects both actual crime rates and fear of crime. It questions the reliability of current British Standards (BS 5489) that are used to determine lighting needs, pointing out discrepancies between official crime data and public perceptions of safety. Drawing on historical and contemporary research, the paper suggests that improved lighting can contribute to crime reduction and greater public confidence, but only when contextually appropriate. The review calls for a broader understanding of how urban lighting affects both real and perceived safety, arguing that current approaches may miss critical socio-environmental dynamics.

(Crime Prevention and Community Safety: An International Journal, Volume 5, Issue 2, 2003, pp. 7–24)

DOES CRIME JUST MOVE AROUND THE CORNER? A CONTROLLED STUDY OF SPATIAL DISPLACEMENT AND DIFFUSION OF CRIME CONTROL BENEFITS*

By David Weisburd, Laura A. Wyckoff, Justin Ready, John E. Eck, Joshua C. Hinkle, Frank Gajewski

This study addresses the longstanding concern that focused crime prevention efforts—such as policing "hot spots"—might simply displace crime to nearby areas. While displacement has been a major critique of place-based policing, empirical studies have rarely been designed specifically to assess its presence or measure its impact. The authors designed and implemented a controlled field experiment in Jersey City, New Jersey, to examine whether such displacement occurs or whether crime control efforts might instead lead to a diffusion of benefits—i.e., crime reductions in areas surrounding targeted sites. The study focused on two areas: one known for street-level drug dealing and the other for prostitution. Using over 6,000 social observations, interviews, and ethnographic fieldwork, the researchers found little evidence of spatial displacement and instead documented significant diffusion of crime control benefits to adjacent areas. The findings challenge assumptions that crime merely moves elsewhere and reinforce the effectiveness of concentrated policing in reducing crime beyond targeted hot spots.

(Criminology, Volume 44, Number 3, 2006, pp. 549–594)

A Forensic Without the Science: Face Recognition in U.S. Criminal Investigations,

By Clare Garvie

A report released by the Center on Privacy & Technology evaluates the reliability of face recognition as it is used by police in the United States. The report examines the myriad human and machine factors, and their interactions, that might lead to bias and error when law enforcement agencies use face recognition. As a biometric, forensic investigative tool, face recognition may be particularly prone to errors arising from subjective human judgment, cognitive bias, low-quality or manipulated evidence, and under-performing technology. These errors have real-world consequences — the investigation and arrest of an unknown number of innocent people and the deprivation of due process of many, many more. As the grassroots movement to ban police use of face recognition grows, invoking the many overarching ethical problems with this kind of surveillance technology, it is important to point out that face recognition doesn’t work well enough to reliably serve the purposes for which law enforcement agencies themselves want to use it. Relying on the vast wealth of research and knowledge already present in computer science, psychology, forensic science, and legal disciplines, its key findings are:

As currently used in criminal investigations, face recognition is likely an unreliable source of identity evidence.

The algorithm and human steps in a face recognition search each may compound the other’s mistakes.

Since faces contain inherently biasing: information such as demographics, expressions, and assumed behavioral traits, it may be impossible to remove the risk of bias and mistake.

Face recognition has been used as probable cause to make arrests despite assurances to the contrary.

Evidence derived from face recognition searches are already being used in criminal cases, and the accused have been deprived the opportunity to challenge it.

The harms of wrongful arrests and investigations are real, even if they are hard to quantify.

This report is meant to be a resource for researchers examining the potential risks of this new technology, defense attorneys whose clients were identified using face recognition, judges seeking to understand the scientific merit of face recognition-derived evidence, police departments seeking to minimize the harms its use, and advocates and organizers seeking to protect rights in an age of ever expanding police deployment of this technology.

It calls on these communities to question any and all assumptions that the current use of face recognition is adequately controlled and reliable. It warns that we have a narrow and closing window of time in which to repeat the mistakes of previous forensic disciplines and avoid judicial certification of fundamentally flawed or unreliable methods.

Washington, DC: Center on Privacy & Technology at Georgetown Law, 2022. 77p.

The line from platform to peril: a longitudinal analysis of crime patterns at light rail stations in Charlotte, NC

By M. Dylan Spencer, Cory Schnell, Samuel E. DeWitt

Objectives: Public transportation systems experience dynamic changes over time to accommodate growing cities, yet evaluations of their impact on crime often focus on shorter, static periods. This study examines the long-term relationship between light rail expansion and crime, using a 20-year observation period in Charlotte, NC. We analyze changes in crime patterns near original, expanded, and planned light rail station locations. Methods: We conducted a quasi-experimental program evaluation of the opening of light rail stations on crime at place. We estimated Poisson regression models with fixed effects and difference in difference models to analyze crime incidents at street intersections surrounding light rail stations across varying spatial distances. Results: Our findings suggest that the expansion of the light rail system led to an increase in crime around train stations. We observe a significant intervention effect across multiple crime categories and spatial distances. These analyses suggest the effect appears stronger after the expansion of light rail service to additional train stations. Conclusions: These results have implications for a wide range of community stakeholders involved with the planning of public transportation. Given the evolving demand for transit systems, our findings highlight the need for crime prevention policies to accompany infrastructure expansion and mitigate crime.

J Exp Criminol (2025), 39p.

Researching a Problem

By Ronald V. Clarke and Phyllis A. Schultze

This guide, one of the Problem-Solving Tools Series, summarizes knowledge about information gathering and analysis techniques that might assist police at any of the four main stages of a problem-oriented project: scanning, analysis, response, and assessment. This tool takes the mystery out of conducting research on problems by helping the user to define their problem, use technology to conduct Internet searches, get advice from experts, visit libraries, and evaluate their primary sources of information. The guide offers helpful hints to understanding and identifying responses to problems based on the research gathered.

Problem-oriented policing focuses, one-by-one, on specific problems of crime and disorder with the intention of identifying and altering the particular factors giving rise to each problem. The problems addressed in problem-oriented policing tend not to be confined to just a few police jurisdictions, but are more widely experienced. It is therefore likely that some other agency has tried to solve the kind of problem that you are dealing with now. Or perhaps some researcher has studied a similar problem and learned things that might be useful to your work. You could save yourself a lot of time and effort by finding out what they did and why. In particular, you can learn which responses seemed to be effective and which were not. So long as they made available a written report of their work, this guide will help you discover what they did. Having found out what others have done, you cannot simply copy what they did. You will have to adapt any successful responses they used to your own situation. This guide does not tell you how to analyze and understand your own problem.† It will only help you to profit from the work of those who have dealt with a similar problem. It is designed to take you as quickly as possible to the information you need and to help you evaluate and make the best use of this information. In doing this, it assumes: • You are familiar with problem-oriented policing. The guide assumes that a problem-solving model, such as SARA (Scanning, Analysis, Response, Assessment), is guiding your project. The guide will assist you at the Analysis and Response stages by pointing you to the possible cause of the problem you are tackling and to the ways you might respond. • You are willing to consider new responses to the problem. Rarely does police enforcement alone solve a persisting problem. To bring a lasting improvement, it is almost always necessary to modify the conditions giving rise to the problem, such as a lack of security or surveillance. Whatever measures you adopt must be carefully matched to the nature of your problem. Many of the measures are likely to be outside your experience and, indeed, that of most police officers. So, you need to learn about the ones that have been successfully used before in dealing with the kind of problem you face. While it is not usually recommended that a police agency blindly adopt another agency's responses to a problem, neither is it a good idea to be blind to what others have done. The key is to understand whether lessons learned elsewhere would apply under the conditions that exist for your problem. • You have limited time. The guide assumes that you have limited time to research best practice and that you want results quickly. You are not writing an academic paper where you might be faulted for missing a particular article or book. You are simply trying to find information that will help you with the practical task of dealing with your problem. For this reason, the guide does not provide a comprehensive description of all information sources, whether on the Internet † or in libraries. † Comprehensive descriptions are provided by Benamati et al. (1998) and Nelson (1997). Rather, it is intended to help you find two main categories of information relevant to your task: (1) articles by researchers who have studied the problem you are facing and, (2) reports of police projects dealing with the problem. The first category of information will help you understand the factors giving rise to your problem; the second will help you find effective responses. Later in the project, you might wish • You have Internet access. Nowadays, it is very difficult to research a problem without having access to the Internet. The guide assumes that you have this access and that you are familiar with searching for information on the Internet. (Indeed, you might have found this guide on the Internet.) The computer you use will need † a copy of Adobe Reader, which allows you to read and download articles in portable document format (.pdf) that you find at websites on the Internet. Unless your computer has a high speed connection, this process of visiting websites and reading and downloading material can be slow and frustrating. Most computers in libraries have high speed connections and you can usually pay to obtain print copies of the material you have downloaded

Problem-Oriented Guides for Police Problem-Solving Tools Series No. 2

Washington, DC: U.S. Department of Justice Office of Community Oriented Policing Services, 2005. 72p.

Trajectories of Offending Among Asians in America: Examining US-Born/Non-US-Born Differences and the Effects of Social Control

By Sung Hwan Joo, Doyun Koo, Stephen J. Watts

With the notable recent population growth of the Asian population in the US, the need for scholarly attention to offending patterns of this population has correspondingly increased. Utilizing waves of 1 to 4 of the National Longitudinal Study of Adolescent to Adult Health (Add Health) (n=9412), the current study examines the offending trajectories among Asian populations in the US, with particular attention to the distinct experiences and offending patterns between US-born and non-USborn individuals. Employing group-based trajectory modeling (GBTM) and multivariate regression, the study reveals distinct patterns of offending between Asian and non-Asian populations, while highlighting significant variations in offending trajectories between US-born and non-US-born Asian populations. Results indicate that social control factors, such as social bonds and self-control, have varied influences across US-born and non-US-born Asian populations. Overall, the findings point to the importance of considering how distinct institutional adjustment processes and identity negotiations shape offending trajectories among Asian populations in the US. The discussion focuses on how the current study contributes to a deeper understanding of the complexities facing Asian populations in the US, suggesting future studies incorporate institutional adjustment processes to elucidate Asian offending trajectories further.

Journal of Developmental and Life-Course Criminology (2024) 10:501–524

The Association Between Academic Achievement and Subsequent Youth Offending: A Systematic Review and Meta-Analysis

By M. Lankester, C. Coles, A. Trotter, S. Scott, J. Downs, H. Dickson, A. Wickersham

The association between academic achievement and youth offending has yet to be clearly quantified. This meta-analysis aims to provide a robust estimate of the longitudinal association between academic achievement and subsequent youth offending. We searched PsycINFO, ERIC, British Education Index, and Web of Science from inception to 2 April 2024 using a comprehensive search strategy. We identified eligible studies reporting on the association between academic achievement and subsequent youth offending, as measured using self-report or administrative records up to the age of 25 years. Correlation coefficients and odds ratios were pooled in a meta-analysis. Effect modifiers were investigated in a sub-group analysis, and other findings were narratively synthesised. PROSPERO record: CRD42023402103. Seventeen studies were included, of which eight were pooled in a meta-analysis. The findings showed a small but statistically significant association between lower academic achievement and youth offending (pooled Fisher z= −0.21, 95% CI [−0.29,−0.12], I 2=98.4%). Subgroup analysis and narrative synthesis yielded mixed findings on the possible role of measurement timing and offence types. Lower academic achievement was associated with subsequent youth offending, underlining the need for a child-first approach to early prevention and intervention strategies in educational and forensic settings.

Journal of Developmental and Life-Course Criminology (2024) 10:457–476

Developmental Crime Prevention Manifesto—or “Saving Children from a Life of Crime” 2.0: The 2024 David P. Farrington Lecture

By Brandon C. Welsh

Early developmental crime prevention is an important component of an overall strategy to reduce crime. Key features include a commitment to prevention in the first instance—intervening before a delinquent act has been committed and before a child has contact with the justice system—and a larger focus on improving the life chances of at-risk children and families, extending well beyond delinquency or criminal offending. The main aim of this article is to set out an agenda for action— a manifesto of sorts—to advance developmental crime prevention, with a special focus on the early stages of the life-course. Structured as a ten-point plan and organized around three core areas (policy directions, research priorities, and outreach), the agenda is designed to bring attention to what I view as the most important and pressing matters confronting early developmental crime prevention today. The good news is that the groundwork has been started on many fronts, with some successes and a great deal of promise. David Farrington’s research and scholarly contributions fgure prominently in this work, and this article also serves as a remembrance of David Farrington (1944–2024) and a way to celebrate his enduring life-work to help build a safer, more just society.

Journal of Developmental and Life-Course Criminology (2024) 10:457–476 

The Effect of Medicaid on Crime: Evidence from the Oregon Health Insurance Experiment 

By Amy Finkelstein, Sarah Miller, and Katherine Baicker

  Those involved with the criminal justice system have disproportionately high rates of mental illness and substance-use disorders, prompting speculation that health insurance, by improving treatment of these conditions, could reduce crime. Using the 2008 Oregon Health Insurance Experiment, which randomly made some low-income adults eligible to apply for Medicaid, we find no statistically significant impact of Medicaid coverage on criminal charges or convictions. These null effects persist for high-risk subgroups, such as those with prior criminal cases and convictions or mental health conditions. In the full sample, our confidence intervals can rule out most quasi-experimental estimates of Medicaid’s crime-reducing impact.  

WORKING PAPER · NO. 2024-158

Chicago: University of Chicago, The Becker Friedman Institute for Economics, 2024. 49p.

Does Nothing Stop a Bullet Like a Job? The Effects of Income on Crime

By Jens Ludwig and Kevin Schnepel

Do jobs and income-transfer programs affect crime? The answer depends on why one is asking the question, which shapes what one means by “crime.” Many studies focus on understanding why overall crime rates vary across people, places, and time; since 80% of all crimes are property offenses, that’s what this type of research typically explains. But if the goal is to understand what to do about the crime problem, the focus will instead be on serious violent crimes, which account for the majority of the social costs of crime. The best available evidence suggests that policies that reduce economic desperation reduce property crime (and hence overall crime rates) but have little systematic relationship to violent crime. The difference in impacts surely stems in large part from the fact that most violent crimes, including murder, are not crimes of profit but rather crimes of passion – including rage. Policies to alleviate material hardship, as important and useful as those are for improving people’s lives and well-being, are not by themselves sufficient to also substantially alleviate the burden of crime on society.

WORKING PAPER · NO. 2024-42

Chicago: University of Chicago, The Becker Friedman Institute for Economics, 2024. 29p.

Cybercrime Classification and Measurement

By National Academies of Sciences, Engineering, and Medicine.

Cybercrime poses serious threats and financial costs to individuals and businesses in the United States and worldwide. Reports of data breaches and ransomware attacks on governments and businesses have become common, as have incidents against individuals (e.g., identity theft, online stalking, and harassment). Concern over cybercrime has increased as the internet has become a ubiquitous part of modern life. However, comprehensive, consistent, and reliable data and metrics on cybercrime still do not exist - a consequence of a shortage of vital information resulting from the decentralized nature of relevant data collection at the national level.

Cybercrime Classification and Measurement addresses the absence credible cybercrime data and metrics. This report provides a taxonomy for the Federal Bureau of Investigation for the purpose of measuring different types of cybercrime, including both cyber-enabled and cyber-dependent crimes faced by individuals and businesses, and considers the needs for its periodic revision. 

Washington DC: National Academies Press, 2025. 259p.

High-Level Corruption: An Analysis of Schemes, Costs and of Policy Recommendations

By Giorgia Cascone, Caterina Paternoster, Michele Riccardi , Viktoriia Poltoratskaya, Bence Tóth: Claudia Baez-Camargo, Jacopo Costa

• Corruption is a complex and multifaced phenomenon, often defined broadly as “the misuse of public office for private gain” [1]. Despite the absence of consensus on its definition [2,3], scholars, practitioners, and policymakers acknowledge corruption as a longstanding issue heavily affecting nations around the world [3]. Its negative impacts are extensive, undermining civil, political, economic, social, and cultural rights [4]. • The FALCON Project is a three-year Horizon Europe research project which will develop new data-driven indicators and tools to strengthen the global fight against corruption by following an evidence-based, multiactor and interdisciplinary approach. • Specifically, FALCON covers four corruption domains: Corruption and fraud in public procurement; Circumvention of sanctions by "kleptocrats" and oligarchs; Border corruption; Other high-level corruption cases • This Policy Brief summarizes the main results of the analysis carried out on these four corruption domains under Work Package 2 of the FALCON Project. The document is structured as follows

Policy Brief of Project FALCON.

Milan: Transcrime – Joint Research Centre on Innovation and Crime, 2025. 22p.

Bringing Together the Criminologies of Atrocity and Serious Economic Crimes

By Andy Aydın-Aitchison

The paper reflects on the value of linking criminological research on atrocity with that on serious economic crime. The two areas of criminological research are outlined briefly, before common challenges around complexity and interdependence are set out. An example of a criminal career encompassing both atrocity and serious economic criminality is put forward to support claims that atrocity and economic crime can usefully be studied together. Three further examples of research are discussed to show the possible merits of bringing together two criminological strands. Ultimately, studying the two forms of criminality together would respect the lived experience of victims, who see firsthand how atrocity and serious economic crime go hand in hand.

International Criminal Law Review (2023) 1–17

How environmental features and perceptions influence the perceived risks and rewards of criminal opportunities

By William P. McClanahan, Daniel S. Nagin, Marco Otte, Peter Wozniak, Jean-Louis van Gelder

A central tenet of the criminal decision-making literature is that perceptions of the environment shape decisions. Yet the underlying mechanisms linking environmental features to perception remain mostly untested. Those that have been tested have relied on methods that are either correlational or have limited generalizability. We aimed to fill this gap by harnessing the power of virtual reality. Using burglary as a case study, incarcerated residential burglars with varying degrees of proficiency (N = 160) explored a virtual neighborhood with houses that differed in features related to the risks and rewards of burglary. In support of our preregistered hypotheses, offenders adjust their perceptions in response to environmental features related to risks and rewards. Moreover, proficiency modifies these perceptions, with more proficient offenders believing they are less likely to get caught and seen and, as a result, more likely to break into a house. We support our statistical findings with rich data from qualitative interviews.

Criminology, Volume 63, Issue 1, February 2025, Pages 155-182

The Effect of Education Policy on Crime: An Intergenerational Perspective

By Costas Meghir Marten Palme Marieke Schnabel

We study the intergenerational effect of education policy on crime. We use Swedish administrative data that links outcomes across generations with crime records and we show that the comprehensive school reform, gradually implemented between 1949 and 1962, reduced conviction rates both for the generation directly affected by the reform and for their sons. The reduction in conviction rates occurred across many types of crime. Key mediators for this reduction in the child generation are an increase in education and a decline in crime amongst their fathers.

COWLES FOUNDATION DISCUSSION PAPER NO. 2356, New Haven, CT: Yale University, 2023. 40p.

Pregnancy-Associated Mortality Due to Homicide, Suicide, and Drug Overdose

By Maeve E. Wallace; Jaquelyn L. Jahn

IMPORTANCE Despite growing national concern about high and increasing rates of pregnancyassociated mortality due to homicide, suicide, and drug overdose, state-level incidence has previously not been available. OBJECTIVE To identify cases of pregnancy-associated homicide, suicide, drug overdose, and deaths involving firearms in the US from calendar year 2018 to 2022 and estimate 5-year proportionate mortality and mortality ratios per 100 000 live births by state and cause of death. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional study is a population-based analysis of the 2018-2022 restricted-use mortality files provided by the National Center for Health Statistics. These data include all deaths occurring in the US, with geographic identifiers for state of residence. All records in which the decedent was female aged 10 to 44 years and pregnant at the time of death or up to 1 year earlier were included in the analysis. Data were analyzed from July 1 to December 1, 2024. MAIN OUTCOMES AND MEASURES International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes for underlying cause of death were used to identify cases of homicide, suicide, drug overdose, and deaths involving firearms occurring in each state from 2018 to 2022. Proportionate mortality was estimated as the count of cases divided by the total count of deaths of pregnant and postpartum women in each state. Cause-specific mortality ratios were estimated as the count of cases divided by the total count of live births in each state from 2018 to 2022. RESULTS Nationally, there were 10 715 deaths of people who were pregnant or within 1 year post partum from 2018 to 2022, including 837 homicides, 579 suicides, 2083 drug overdoses, and 851 that involved firearms. Proportionate mortality and mortality ratios for homicide, suicide, and drug overdose varied across the US. Of states with more than 9 cases, pregnancy-associated homicide mortality was highest in Mississippi (12.86 per 100 000 live births), pregnancy-associated suicide mortality was highest in Montana (21.55 deaths per 100 000 live births), and pregnancy-associated drug overdose was highest in Delaware (36.03 deaths per 100 000 live births). Firearms accounted for as many as 15.56% of pregnancy-associated deaths in Colorado, and pregnancy-associated firearm mortality was highest in Mississippi (13.42 deaths per 100 000 live births). CONCLUSIONS AND RELEVANCE The information in this study may provide relevant guidance for state and local intervention strategies to advance the health, safety, and well-being of women during pregnancy and beyond.

JAMA Network Open. 2025;8(2):e2459342. doi:10.1001/jamanetworkopen.2024.59342 (R