By: Ronald W. Perry, Marjorie R. Greene, and Michael K. Lindell

As a strategy for manipulating the consequences of disasters, evacuation - that is, the relocation of people from a place of high threat to a relatively safer place - has a particularly long history and constitutes a common societal adjustment to environmental hazards. The Greek historian Herodotus described the Egyptians systematic evacuations to escape the seasonal flooding of the Nile River as early as the fourth century B.C. During the Middle Ages in Europe, significant movements of populations occurred as a function of people’s attempts to escape various epidemics. The history of warfare, from the Dorian invasion of central Greece in 1130 B.C., through the Vietnam conflict of the 1970s and the recent invasion of Afghanistan, is also a history of population movements, many of which began as evacuations. Thus, evacuation has been used by many societies for centuries as an adjustment to cope with disasters.

Particularly with regard to riverine flooding, pre-impact evacuation of the threatened population is an important management strategy which may be used by authorities. Of course, evacuation is not the only, or even the “best”, means of coping with flood hazards. Other options include controlled building in flood plains and enhanced building design and construction techniques. Such measures, however, are easily incorporated into new construction and communities, but not so easy to institute in established comnites where such protections tend to be developed slowly in connection with continuous building and renovation. Thus, many communities must depend, in part or completely, upon measures other than elaborate land use planning or restrictive construction codes in their plans to adjust to floods.

Disasters, Vol.4, No.4.pp.433449

By Kimberly Starr Nagulpelli and Steven E. Butt

“Operations research” and “sociology” are infrequently discussed together. Though an analytic approach is positioned to benefit society through quantitative measurement and evaluation. This research reviews literature surrounding the sex trafficking victimization experience during a lifetime: namely sex trafficking, lifetime experiences, and Markov modelling. With the results of the literature review, a framework is defined to evaluate and assess the experience of sex trafficking victimization during a lifetime for individuals and/or populations. Particularly valuable outcomes of this research are the extensive review of related literature and the definition of a fully interconnected framework of the experiences individuals face within sex trafficking victimization. The defined framework is presented to support current analytic interests of anti-trafficking and policy-maker groups, as well as provide the foundation for further developments to better support impacted communities and society.

Unpublished paper, 2024.

By Mark McMullen

Although it is particularly pronounced in Oregon, there is no question that the fentanyl epidemic is imposing severe economic costs across the nation. The current report quantifies some of these costs and describes the state policy environment. Public policy regarding drug use is evolving rapidly in Oregon as we speak. As with all CSI does, the primary goal of this report is to educate and inform Oregonians on policy issues such as this that impact their lives. Key Findings • The economic cost of Oregon’s fentanyl crisis is more than $31 billion annually, up from $5.88 billion in 2017. • Enough fentanyl was seized last year to kill every Oregonian more than 20 times over. • Most western states have seen above-average growth in fentanyl use during recent years. Even so, Oregon’s experience stands out relative to its neighbors. Since the pandemic began, fentanyl-related overdose deaths in Oregon have increased by over 1,000%, more than in any other state. Alaska’s experience is the only one that even comes close. • Although Oregon’s decriminalization experiment cannot be blamed for all the disproportionate local impact of the fentanyl epidemic, it is clearly playing a role. When decriminalization went into effect in February 2021, Oregon ranked 38th out of 48 states with available data in the rate of fentanyl related overdose deaths. By January 2024, Oregon’s rank rose to 13th. • Many voters and policymakers quickly experienced regrets associated with the decriminalization effort and are making some efforts to improve the law. During the 2023 legislative session, legislators enacted House Bill 4002, which created a new misdemeanor for simple drug possession. The new law gives leeway to counties on how to implement it locally, and we are likely to learn much as the different programs evolve.

Greenwood Village, CO: Common  Sense Institute 2024. 

By Goodman-Williams, Rachael; Volz, Jessica; Smith, Samantha

Introduction: Forensic nurses routinely provide services to sexual assault victims who are uncertain about reporting their assault to police. The purpose of this study was to determine whether assault characteristics are related to the concerns about police reporting expressed by sexual assault victims who have forensic evidence collected but do not report their assault to police at that time. Methods:We Analyzed Medical records of patients who received services at a hospital-based forensic nursing program between 2010 and 2021. Records were included if a sexual assault evidence kit was collected, the patient declined to report the assault to police, and the patient completed a nonreport sexual assault evidence kit supple ment form that included a question asking why they chose not to report the assault (N = 296). We qualitatively analyzed patients' reasons for not reporting the assault and then used two-variable case-ordered matrices and chi-square analyses to explore relationships between reasons for not reporting and assault characteristics. Results: Identified reasons for not reporting included lacking information about the assault, fear of harm/retaliation, andself-blame/minimization. Physicalforce,drug/alcohol consumption,andvictim–offender relationships were related to patients referencing lacking information and fearing harm/retaliation as reasons for not reporting, but not related to the frequency of patients referencing self-blame/minimization. Implications: Results indicate that assault characteristics are related to reasons for not reporting at the time of the medical forensic examination. Being aware of these

  Journal of Forensic Nursing 20(3):p 151-159, 7/9 2024. 

By Shiying Zhang, Ao Huang

There have been numerous debates regarding the educational practice of grade retention and social promotion. This study analyzes the effect of an exogenous policy reform in China that abolishes grade retention during the compulsory education period. We exploit the staggered introduction of the reform across provinces and estimate a flexible difference-in-differences model that can capture the effect of exposure to the reform in different grades. The results indicate that abolishing grade retention significantly decreases the probability of junior high school completion, and most of these negative impacts are concentrated among students exposed to the reform in early grades. Moreover, rural children and boys are more likely to be negatively affected by the reform. Finally, we find that the reform increases the likelihood of later criminal behavior in early adulthood.

Unpublished paper, 2024.

By George Brauchler, Mitch Morrissey, Chris Brown, & Alexa Eastburg

Crime has undeniably and dramatically increased over the last decade in Colorado. The pandemic-related policy restrictions and resulting economic disruptions brought further stress to society, which exacerbated problems related to crime. The result has been billions of dollars in additional costs borne by Coloradans. These costs are felt in many ways, both directly by the victims, and indirectly by the community. It is important to distill the jaw-dropping impact of crime down to numbers that everyone can grasp. The numbers show trends and enable conclusions, which in turn can be tested. Numbers remove the emotional impact and personal tragedy of crime and lead to dispassionate, practical solutions to what is, in part, an economic issue. All victims know that crime is intensely personal. Most people never fully recover from the impact of being victimized. Behind every statistic of violent crime, theft of valued possessions or any violation of one’s right to live a safe and secure life, is a person and that person’s family and friends – are each damaged by a criminal act. The primary and consistent policy trend in Colorado has been to discourage the jailing of those arrested for committing crimes and to reduce the severity of punishment for those convicted. However well intended, these recent policies must be monitored to ensure the costs from the unintended – albeit predictable consequences do not outweigh the anticipated benefits. Given the concerning trends and high costs, it is imperative that policy makers implement timely, transparent, and actionable accountability metrics, that allow them to diagnose specific system level problems and individual policy decisions across the multiple dimensions of criminal justice in Colorado. Let us move forward with the important work of understanding the impact of public policy on the lives of our community. While we’re interpreting data and delving deeper into cause-and-effect, we must also remember the thousands and thousands of victims who have suffered and deserve justice. Colorado’s crime surge increased over the last two years but started long before the pandemic - - - From 2010 through 2019, Colorado’s population-adjusted annual murder rate increased by an annual average of 8%, motor vehicle theft by 6%, and assault by 3%. Average monthly crime in 2021 per 100,000 Coloradans is 28% higher than in 2011, and 11% higher than in 2020 The monthly murder rate increased 20% in both 2019 and 2020. The 2021 total rate of crime is 14% higher than it was in 2019. This trend exceeds the 12% increase Colorado experienced between 2009 and 2012. etc........

Greenwood Village, CO, Common Sense Institute, 2021. 27p.  

By Fredrik Kärrholm, Peter Neyroud & John Smaaland

Research Question -  Which method for deriving a Crime Harm Index (Policing 10:171 183, 2016) for Sweden from criminal justice sources offers the best evidence for providing a sensitive indicator of differences in harm levels across offence categories? Data The number of days of imprisonment for each offence category associated with five different kinds of scales were extracted and compared: consensus by an expert panel of judges, the statutory maximum penalties, statutory minimum penalties, the average of maximum and minimum penalties and the average of actual sentences imposed in a recent time period for each crime type. Unlike the UK, for which the Cambridge Crime Harm Index draws on sentencing guidelines, Sweden has no such guidelines to offer. Methods - The data were compared for sensitivity defined as the difference in length of imprisonment days between high and low severity crimes, as well as other characteristics of the data sources. Findings - Given the available alternatives, the sentencing data average of actual sentences handed down by crime type provided the greatest reliability and sensitivity across the penalties for offences of high and low severity. Applying that method to both crime trends and crime mapping produces substantially different results from counting all crimes with equal weight and can be used by police and others to allocate resources with greater precision in relation to harm prevention. Conclusions - On both empirical and normative grounds, the average sentences in a recent time period for each crime category provides the most sensitive and democratic method for establishing an officially recognized Swedish Crime Harm Index.  

Cambridge Journal of Evidence-Based Policing 4(1): 15–33. 2021.  

By Jo‑Anne Kramer,  Arjan A. J. Blokland, ·Edward R. Kleemans, Melvin R. J. Soudijn

In order to launder large amounts of money, (drug) criminals can seek help from financial facilitators. According to the FATF, these facilitators are operating increasingly business like and even participate in professional money laundering networks. This study examines the extent to which financial facilitators in the Netherlands exhibit business-like charac teristics and the extent to which they organize themselves in money laundering networks. We further examine the relationship between business-like behavior and individual money launderers’ position in the social network. Using police intelligence data, we were able to analyze the contacts of 198 financial facilitators who were active in the Netherlands in the period 2016–2020, all having worked for drug criminals. Based on social network analysis, this research shows that financial facilitators in the Netherlands can be linked in extensive money laundering networks. Based on the facilitators’ area of expertise, roughly two main types of professional money laundering networks can be discerned. Some subnetworks operate in the real estate sector, while others primarily engage in underground banking. Furthermore, the application of regression models to predict business-like behavior using individual network measures shows that facilitators with more central positions in the net work and those who collaborate with financial facilitators from varying expertise groups tend to behave more business-like than other financial facilitators

Kramer JA, Blokland AAJ, Kleemans ER & Soudijn MRJ 2023. Money laundering as a service: Investigating business-like behavior in money laundering networks in the Netherlands. Trends in Organized Crime.

By Peter Gerbrands, Brigitte Unger, Michael Getzner & Joras Ferwerda 

Aim

There is a growing literature analyzing money laundering and the policies to fight it, but the overall effectiveness of anti-money laundering policies is still unclear. This paper investigates whether anti-money laundering policies affect the behavior of money launderers and their networks.

Method

With an algorithm to match clusters over time, we build a unique dataset of multi-mode, undirected, binary, dynamic networks of natural and legal persons. The data includes ownership and employment relations and associated financial ties and is enriched with criminal records and police-related activities. The networks of money launderers, other criminals, and non-criminal individuals are analyzed and compared with temporal social network analysis techniques and panel data regressions on centrality measures, transitivity and assortativity indicators, and levels of constraint.

Findings

We find that after the announcement of the fourth EU anti-money laundering directive in 2015, money laundering networks show a significant increase in the use of foreigners and corporate structures. At the individual level, money launderers become more dominant in criminal clusters (increased closeness centrality). This paper shows that (the announcement of) anti-money laundering policies can affect criminal networks and how such effects can be tested.

EPJ Data Science, 11(1), [15]

By Joras Ferwerda, Alexander van Saase, Brigitte Unger & Michael Getzner

 It is important to understand the amounts and types of money laundering flows, since they have very different effects and, therefore, need different enforcement strategies. Countries that mainly deal with criminals laundering their proceeds locally, need other measures than countries that mainly deal with foreign illegal investments or dirty money just flowing through the country. This paper has two main contributions. First, we unveil the country preferences of money launderers empirically in a systematic way. Former money laundering estimates used assumptions on which country characteristics money launderers are looking for when deciding where to send their ill‑gotten gains. Thanks to a unique dataset of transactions suspicious of money laundering, provided by the Dutch Institute infobox Criminal and Unexplained Wealth (iCOV), we can empirically test these assumptions with an econometric gravity model estimation. We use this information for our second contribution: iteratively simulating all money laundering flows around the world. This allows us, for the first time, to provide estimates that distinguish between three different policy challenges: the laundering of domestic crime proceeds, international investment of dirty money and money just flowing through a country  

Ferwerda J, van Saase A, Unger B & Getzner M 2020. Estimating money laundering flows with a gravity model-based simulation. Scientific Reports 10(1).

By Ozkan Eren & Emily Owens

Objectives: This paper examines the impact of local economic activity on criminal behavior. We build on existing research by relaxing the identification assumptions required for causal inference, and estimate the impact of local economic activity on recidivism.

Methods: We use the fracking boom as a source of credibly exogenous variation in the economic conditions into which incarcerated people are released. We replicate and extend existing instrumental variables analyses of fracking on how many released offenders return to state prison seperately from aggregate crime and arrests.

Results: Our instrumental variables estimates imply that a ten thousand dollar increase in the value of per capita production is associated with a 2.8% reduction in the 1-year recidivism of ex-offenders at the county level. Improved labor market conditions, specifically an increase in wages for young adults, may explain a non-negligible fraction of the reduction in recidivism associated with economic booms. In contrast, we replicate existing work finding that fracking increased aggregate measures of crime and arrests.

Conclusion: Increased economic opportunity appears to have a different impact of overall crime than on recidivism. This suggests that the relationship between economic opportunity and offending may be conditioned by local social ties. Further research examining how social connections and labor markets affect individual criminal behavior is needed.

Economic booms and recidivism. Journal of Quantitative Criminology, 40, 343-372. 

By Renato Molina, Juan Carlos Villaseñor-Derbez, Gavin McDonald, Grant McDermott

Maritime transport has been historically susceptible to piracy. While broad assessments suggest the impact of modern piracy causes large economic losses, the literature lacks quantification of the magnitude of the costs and the behavioral responses that underpin them. Here, we combine theory and a unique geospatial dataset combining more than 25 million shipping voyages and thousands of pirate encounters across the globe to find that pirate encounters lead to significant and costly avoidance measures. Shippers modify their path along a route to avoid locations with known pirate encounters. This increases voyage distance and duration, which lead to significant increases in fuel and labor costs estimated to be over US$1.5 billion/year. Additionally, emission of CO2, NOx, and SOx due to increased fuel consumption results in environmental damages valued at US$5.1 billion per year. Together, our results provide the first global estimates linking the presence of pirates to individual behaviour and aggregate transportation cost, as well as its environmental impact, with major implications for the shipping industry and maritime security at a global scale.

CESifo Working Paper No. 11077, Munich: Munich Society for the Promotion of Economic Research - CESifo , 2024. 72p.

By David Weisburd, Clair V. Uding, Kiseong Kuen, Beidi Dong

Criminologists have long known that crime is highly concentrated—in most cities, approximately 50% of crime happens on only 5% of streets. As a result, many cities have effectively reduced crime by concentrating police resources in extremely high-crime “hot-spots.” Despite calls for defunding the police, policing is necessary for public safety on hot-spot streets, and people who live on these streets recognize that. Indeed, in one survey in Phoenix, Arizona, the majority of residents of hot-spots streets said they wanted the amount of police on their block to be increased. But ultimately, the bedrock of social control of crime is not the police, but citizens who exercise informal social control. The practice of community policing—which emphasizes building relationships with members of the community and allowing them to have a voice in defining which problems police should focus on—attempts to leverage this fact to enhance public safety. However, it is often assumed that high-crime hot spots are simply so chaotic and disordered that the residents are incapable of playing a key role in crime prevention.

We examined this assumption through a multiyear study of more than 300 hot-spot streets in Baltimore, Maryland (all of which were in the top 3% in rates of violent or drug crime in the city), as well as almost 50 “cold” streets, which had little to no crime, and 100 “cool” streets, which fell in the middle. We found that common assumptions about hot spots—which we shared at the outset—are not accurate. Residents of hot-spot streets in Baltimore have strong social and network ties with their neighbors, and they exercise meaningful levels of informal social control. Even on the most crime ridden blocks, there is potential for collaboration between residents and police. Our findings suggest that it is time to think about how both informal and formal social control can work interactively to reduce crime. Hot-spots policing is an important first step, because the level of danger in these places can simply make it too dangerous for residents to exercise the type of informal social control that they would like. But residents of these streets, contrary to stereotypes of academics, policymakers, and practitioners, form an important resource for reducing crime on these streets through informal social control.

New York: The Manhattan Institute, 2024. 18p,

By Ingri Bøe Buer

This article reconsiders peace and security from the perspectives of community leaders, educators and activists in favelas in Rio de Janeiro, Brazil, in 2019–2020. Through a critical lens, it argues that the urban violence in Rio de Janeiro resembles a form of new wars where the state is a major producer of insecurity. It questions the meaning of peace and top-down pacification processes in a city where the favelas, since their origin, have been considered dangerous areas needing to be pacified and controlled. The article introduces favela peace formation as a concept to describe alternative processes working to reduce the inter-sectional forms of violence in these communities: non-violent, locally legitimate peace processes working to slowly construct a positive, sustainable peace. To conclude, it discusses how favela peace formation presents a way of imagining peace as ‘care’ instead of ‘order’ in response to the state’s violent peace as ‘control’

Peacebuilding, DOI: 10.1080/21647259.2024.2354083

By Ramesh Subramanian, Eddan Katz

The Internet has been integral to the globalization of a range of goods and production, from intellectual property and scientific research to political discourse and cultural symbols. Yet the ease with which it allows information to flow at a global level presents enormous regulatory challenges. Understanding if, when, and how the law should regulate online, international flows of information requires a firm grasp of past, present, and future patterns of information flow, and their political, economic, social, and cultural consequences.

In The Global Flow of Information, specialists from law, economics, public policy, international studies, and other disciplines probe the issues that lie at the intersection of globalization, law, and technology, and pay particular attention to the wider contextual question of Internet regulation in a globalized world. While individual essays examine everything from the pharmaceutical industry to television to “information warfare” against suspected enemies of the state, all contributors address the fundamental question of whether or not the flow of information across national borders can be controlled, and what role the law should play in regulating global information flows.

New York: NYU Press, 2011.

By Sarah Projansky

Looking at popular culture from 1980 to the present, feminism appears to be "over": that is, according to popular critics we are in an era of "postfeminism" in which feminism has supposedly already achieved equality for women. Not so, says Sarah Projansky. In Watching Rape, Projansky undermines this complacent view in her fascinating and thorough analysis of depictions of rape in U.S. film, television, and independent video. Through a cultural studies analysis of such films as Thelma and Louise, Daughters of the Dust, and She's Gotta Have It, and television shows like ER, Ally McBeal, Beverly Hills 90210, and various made-for-tv movies, Projansky challenges us to see popular culture as a part of our everyday lives and practices, and to view that culture critically. How have media defined rape and feminism differently over time? How do popular narratives about rape also communicate ideas about gender, race, class, nationality, and sexuality? And, what is the future of feminist politics, theory, and criticism with regard to issues of sexual violence, postfeminism, and popular media? The first study to address the relationship between rape and postfeminism, and one of the most detailed and thorough analyses of rape in 25 years, Watching Rape is a crucial contribution to contemporary feminism.

New York: NYU Press, 2001.

By Tara Wheeler, Julia Bergeron-Smith, George Shaler, Lisa Sampson

Sex offender recidivism data can be difficult to comprehend, especially when conducting research across states. For example, sex offenders can be categorized in numerous ways: by the type of crime committed (e.g., rape, assault, exhibitionism), by offense severity, by victim age (adult or child). Likewise, recidivism definitions (e.g., rearrest, reconviction, or reincarceration) and timeframes (e.g., one-year, two-year, or three-years following release) can vary across local, state, and federal agencies. Thus, there is no single measure systemically used across jurisdictions. Recognizing the public’s concerns about sex offender recidivism, the Maine and Massachusetts Statistical Analysis Centers (SACs), proposed and received funding for a retrospective sex offender recidivism study through the Bureau of Justice Statistics, Department of Justice. This collaboration marks the first time either state has undertaken this type of study. This project studied the recidivism rates of Maine sex offenders who were released from prison between 2005 and 2019 and Massachusetts sex offenders released between 2009 and 2018. In total, the Massachusetts cohort was composed of 1,210 offenders and the Maine study of 905 offenders. Criminal history records were obtained for each offender from their respective states to determine whether the offender recidivated (i.e., committed post-release offenses that resulted in a conviction). To be included in the recidivism portion of this study, there must have been at least a five-year window between the time of release and the time the criminal history data was pulled. Overall, 880 offenders were included in the Massachusetts recidivism analysis and 661 in the Maine recidivism analysis. A primary interest area was to determine whether recidivism rates differed by offense severity (i.e., rape or non-rape) and victim age (i.e., child or adult), however, these two groupings are not entirely separate from one another— while rape is considered more severe than other types of sex offenses, crimes against children are also deemed to be more egregious than crimes against adults. Therefore, an offender typology—based on the original sex offenses associated with the commitment and subsequent release—was created that incorporates both victim type and offense severity. The first, and most severe, category is child rapist, which includes all offenders who committed a child rape offense, followed by the rapist category, which includes all other offenders who committed a rape offense. Next is child predator and is used for those who committed a sex offense against a child but did not commit a rape offense. Last, is the other category and captures those who did not fall within one of the prior three categories. To gain a better understanding of recidivism among the sex offender population, survival analysis (specifically, the Cox Proportional Hazards regression method) was conducted to determine which offender characteristics, if any, influenced recidivism rates. Using this approach, researchers were able to control for other known attributes. The attributes tested in this study were: • offender type • severity of sex offense(s) (Maine only) • number of sex offense(s) • commitment length (Maine only) • release type (supervision or discharge) • security level of facility offender was released from (Massachusetts only) • release age Key Findings • Age at earliest sex offense associated with commitment varied by offender type for both Maine and Massachusetts. Interestingly, child predators had a mean age that was statistically higher than that of rapists and child rapists. o In Massachusetts, the average offense age of child predators was 36.6 years old, which was significantly higher than the offense age of rapists (31.1 years old) and child rapists (33.9 years old). o For Maine, child predators were, on average, 35.0 years old at the time of their earliest sex offense associated with commitment, compared to 30.4 years old for child rapists and 31.1 years old for rapists. • Maine’s five-year recidivism rate (43%) was much higher than the Massachusetts five year recidivism rate (25%). While there are numerous potential scenarios that could explain the differences in recidivism rates, it is important to note that each state has its own criminal laws and procedures that, in turn, impacts the underlying study population and their recidivism rates. For instance, an offense that resulted in commitment to state prison in Maine might result in a county jail commitment for Massachusetts. Therefore, caution should be taken when making comparisons between the two states. • Offender type, severity of sex offense, and release age were found to be associated with Maine recidivism rates. When coupled with release age, release type was also found to have an influence on recidivism rates. Holding all other attributes constant: o Individuals whose most severe sex offense was a misdemeanor are expected to recidivate at a rate 45% higher than those with a felony level offense. o ‘Other’ type offenders (those whose offenses fell short of rape and did not target children) have an expected recidivism rate 45% higher than offenders who committed sex offenses against children (child predators and child rapists) o Age at release, both by itself and as an interaction with release type, is associated with recidivism rates. For every 10-year increase in age at release, the predicted recidivism rate decreased by 21%. However, for offenders who were released to supervision, the hazard rate decreases even further, with supervised offenders having a 38% decrease in risk for every 10-year increase of age at release. • Of the attributes tested, offender type, release type, release level, and release age were found to be associated with Massachusetts recidivism rates. Holding all other attributes constant: o Offenders released from a maximum-security level facility are predicted to recidivate at a rate 2.4 times higher than that of offenders released from a medium security level facility or lower. o ‘Other’ type sex offenders are predicted to recidivate at a rate 115% higher than those who committed child-based sex offenses (child predators and child rapists). Meanwhile, non-child rape offenders are expected to recidivate at a rate 58% higher than child offenders. o Discharged offenders released without supervision have an expected recidivism rate 61% higher than offenders who were supervised following release. o For every 10-year increase in age, the recidivism rate is expected to decrease by 37%.    

 Portland:  Maine Statistical Analysis Center;   Massachusetts Statistical Analysis Center, 2023. 50p.

 By The Idaho Statistical Analysis Center

In 2022, the overall crime rate in Idaho, as measured by offenses reported to the Idaho Incident-Based Reporting System (IIBRS), was at its lowest in years. The overall offense rate in 2022 was 55.2 offenses per 1,000 residents (compared to 97.4 in 2005, a 43% decrease and the lowest in that span). However, the rate of society crimes, which includes drug offenses, increased 47% in the same period. Additionally, drug offenses accounted for a quarter (25%) of all offenses reported in 2022, compared to 9% in 2005. This research brief takes a closer look at substance-related crime in Idaho between 2013 and 2022, the most recent 10-year period for which data is available. 10-year Offense Trend Drug and Alcohol Offense Rates Between 2013 and 2022, the total rate of drug and alcohol offenses increased by just 3.4% (from 17.6 offenses per 1,000 residents to 18.2), remaining relatively stable compared to the overall crime trends noted above. However, this stability is due to diverging trends in drug offenses (drug/narcotic violations, drug equipment violations) versus alcohol offenses (driving under the influence, or DUI1; drunkenness; liquor law violations). The drug offense rate increased 31% between 2013 and 2022 (from 10.3 to 13.5), while the alcohol offense rate decreased 36% (from 7.3 to 4.7). 

Meridian, ID: Idaho Statistical Analysis Center, 2024. 22p.

By Kara Miller

The Oklahoma Statistical Analysis Center (SAC), a unit located within the Oklahoma State Bureau of Investigation (OSBI), is tasked with analyzing and reporting crime data. In 2019, Oklahoma House Bill 2597 was passed by the legislature and signed by the Governor. Effective November 1, 2019, the bill modified Oklahoma law to permit anyone over 21 years or military services members and/or veterans over 18 to carry a firearm without first obtaining a self-defense act (SDA) license provided they are not disqualified based on their criminal history. In order to evaluate whether the change in law impacted crime in Oklahoma, the SAC chose to study violent, gun-related crimes in Oklahoma using State Incident-Based Reporting System (SIBRS) data for the offenses of “murder and non-negligent manslaughter” and aggravated assault. This initial report evaluates 2018 data to establish a baseline. Future reports will analyze data from 2019 and beyond comparing the results to this benchmark report. Key Findings:  For the 37 victims of murder where the sex was known: o Male victims (27) were killed by offenders whose sex was reported as male (17, 56.7%), female (8, 26.7%), or unknown (5, 16.7%). o Female victims (10) were killed by offenders whose sex was reported as male (9, 90.0%) or female (1, 10.0%).  The majority (540, 79.3%) of victims of aggravated assault with a gun were reported with no injury. Victim-to-offender relationship: o For 73.7% of victim-to-offender relationships for victims of murder/non-negligent manslaughter, the victim was within the family of the offender (42.1%), or the victim was outside of the family but known to the offender (31.6%). o For 64.8% of victim-to-offender relationships for victims of aggravated assault, the victim was within the family of the offender (17.8%), or the victim was outside of the family but known to the offender (47.0%).  Victims of Aggravated Assault and Injuries of Aggravated Assault is defined as the presence of a weapon that could cause serious injury or presence of severe injuries.  Nearly 80.0% of victims were reported with no injury. 

Oklahoma City: Oklahoma State Bureau of Investigation. Office of Criminal Justice Statistics, 2020. 81p. 

By Kara Miller, Monique Mogilka,

The Oklahoma Statistical Analysis Center (SAC) is co-located with the state’s criminal history repository, the state’s Uniform Crime Reporting (UCR) Program, and the State Incident Based Reporting (SIBRS) Program. The purpose for studying robbery in Oklahoma is to increase access to and understanding of National Incident-Based Reporting System (NIBRS) enhanced data. By analyzing NIBRS compatible data, the SAC strives to demonstrate the value SIBRS data can have for local agencies and government planners, as well as its utility for problem solving and understanding larger aspects of crimes reported in Oklahoma. The SAC and the Oklahoma State Bureau of Investigation (OSBI) demonstrate the value and utility of SIBRS data to encourage all local law enforcement agencies (LEAs) in Oklahoma to commit to SIBRS reporting and to report quality data. Key Findings:    The number of robberies reported varied nearly every month during the year, although the overall trend was an increase in reports between January and August. The number of reported robberies then fluctuated significantly between August and November. During this time period, reported robberies: o decreased 41.0% from August to September, o Increased 95.7% from September to October, and o Decreased 42.2% from October to November. The majority of robbery victims did not know the offender, as 60.9% of Victim to Offender Relationships were classified as Not Known to Victim. 33.9% of robberies were at a residence, with 40.5% of residential robberies occurring between 21:00-03:00. 1  61.1% of arrestees were arrested “On-View”, and only 25.0% were armed.  Money was the most commonly reported property type stolen (26.3%). However, automobiles which accounted for only 3.9% of the types of property stolen, accounted for 38.8% of the total value of stolen property. 

Oklahoma City: Oklahoma State Bureau of Investigation, 2020? 81p.