Political scientists have increasingly begun to study how citizen characteristics shape whether—and how—they interact with the police. Less is known about how officer characteristics shape these interactions. In this article, we examine how one officer characteristic—officer sex—shapes the nature of police-initiated contact with citizens. Drawing on literature from multiple fields, we develop and test a set of competing expectations. Using over four million traffic stops made by the Florida State Highway Patrol and Charlotte (North Carolina) Police Department, we find that women officers are less likely to search drivers than men on the force. Despite these lower search rates, when women officers do conduct a search, they are more likely to find contraband and they confiscate the same net amount of contraband as men. These results indicate that women officers are able to minimize the number of negative interactions with citizens without losses in effectiveness.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
This data set is no longer compiled by the Ministry of Solicitor Services Information on the number of police officers according to their rank and gender. Shows the number of male and female officers at each rank, as well as annual changes in these numbers. The data can be accessed from Statistics Canada.
Data on police personnel (police officers by gender, civilian and other personnel), police officers and authorized strength per 100,000 population, authorized police officer strength, population, net gain or loss from hirings and departures, police officers eligible to retire and selected crime statistics. Data is provided for municipal police services, 2000 to 2023.
Sadly, the trend of fatal police shootings in the United States seems to only be increasing, with a total 1,173 civilians having been shot, 248 of whom were Black, as of December 2024. In 2023, there were 1,164 fatal police shootings. Additionally, the rate of fatal police shootings among Black Americans was much higher than that for any other ethnicity, standing at 6.1 fatal shootings per million of the population per year between 2015 and 2024. Police brutality in the U.S. In recent years, particularly since the fatal shooting of Michael Brown in Ferguson, Missouri in 2014, police brutality has become a hot button issue in the United States. The number of homicides committed by police in the United States is often compared to those in countries such as England, where the number is significantly lower. Black Lives Matter The Black Lives Matter Movement, formed in 2013, has been a vocal part of the movement against police brutality in the U.S. by organizing “die-ins”, marches, and demonstrations in response to the killings of black men and women by police. While Black Lives Matter has become a controversial movement within the U.S., it has brought more attention to the number and frequency of police shootings of civilians.
This project provided the first large-scale examination of the police response to intimate partner violence and of the practice known as "dual arrest." The objectives of the project were: (1) to describe the prevalence and context of dual arrest in the United States, (2) to explain the variance in dual arrest rates throughout the United States, (3) to describe dual arrest within the full range of the police response to intimate partner violence, (4) to analyze the factors associated with no arrest, single arrest, and dual arrest, (5) to examine the reasons why women are arrested in intimate partner cases, and (6) to describe how the criminal justice system treats women who have been arrested for domestic violence. Data for the project were collected in two phases. In Phase I, researchers examined all assault and intimidation cases in the year 2000 National Incident-Based Reporting System (NIBRS) database (NATIONAL INCIDENT-BASED REPORTING SYSTEM, 2000 [ICPSR 3449]) to investigate the extent to which dual arrest is occurring nationwide, the relationship between incident and offender characteristics, and the effect of state laws on police handling of these cases for all relationship types. Because the NIBRS dataset contained a limited number of incident-specific variables that helped explain divergent arrest practices, in Phase II, researchers collected more detailed information on a subset of NIBRS cases from 25 police departments of varying sizes across four states. This phase of the study was restricted to intimate partner and other domestic violence cases. Additional data were collected for these cases to evaluate court case outcomes and subsequent re-offending. This phase also included an assessment of how closely department policy reflected state law in a larger sample of agencies within five states. The data in Part 1 (Phase I Data) contain 577,862 records from the NIBRS. This includes information related to domestic violence incidents such as the most serious offense against the victim, the most serious victim injury, the assault type, date of incident, and the counts of offenses, offenders, victims, and arrests for the incident. The data also include information related to the parties involved in the incident including demographics for the victim(s) and arrestee(s) and the relationship between victim(s) and arrestee(s). There is also information related to the jurisdiction in which the incident occurred such as population, urban/rural classification, and whether the jurisdiction is located in a metropolitan area. There are also variables pertaining to whether a weapon was used, the date of arrest, and the type of arrest. Also included are variables regarding the police department such as the number of male and female police officers and civilians employed. The data in Part 2 (Phase II Data) contain 4,388 cases and include all of the same variables as those in Part 1. In addition to these variables, there are variables such as whether the offender was on the scene when the police arrived, who reported the incident, the exact nature of injuries suffered by the involved parties, victim and offender substance use, offender demeanor, and presence of children. Also included are variables related to the number of people including police and civilians who were on the scene, the number of people who were questioned, whether there were warrants for the victim(s) or offender(s), whether citations were issued, whether arrests were made, whether any cases were prosecuted, the number of charges filed and against whom, and the sentences for prosecuted cases that resulted in conviction. The data in Part 3 (Police Department Policy Data) contain 282 cases and include variables regarding whether the department had a domestic violence policy, what the department's arrest policy was, whether a police report needed to be made, whether the policy addressed mutual violence, whether the policy instructed how to determine the primary aggressor, and what factors were taken into account in making a decision to arrest. There is also information related to the proportion of arrests involving intimate partners, the proportion of arrests involving other domestics, the proportion of arrests involving acquaintances, and the proportion of arrests involving strangers.
Data on police personnel (police officers by gender, civilian and other personnel), police-civilian ratio, police officers and authorized strength per 100,000 population, authorized police officer strength and selected crime statistics. Data is provided for Canada, provinces, territories and the Royal Canadian Mounted Police (RCMP) headquarters, training academy depot division and forensic labs, 1986 to 2023.
Data on police officers (by detailed ranks and gender), civilian personnel and special constables (by detailed duties and gender), and recruits (by gender). Data is provided for Canada, provinces, territories and the Royal Canadian Mounted Police (RCMP) headquarters, training academy depot division and forensic labs, 1986 to 2023.
The study set out to test the question of whether more efficacious outcomes would be gained the closer that a second response by police officers occurs to an actual domestic violence event. Researchers conducted a randomized experiment in which households that reported a domestic incident to the police were assigned to one of three experimental conditions: (a) second responders were dispatched to the crime scene within 24 hours, (b) second responders visited victims' homes one week after the call for service, or (c) no second response occurred. Beginning January 1, 2005, and continuing through December 3, 2005, incidents reported to the Redlands Police Department were reviewed each morning by a research assistant to determine whether the incidents involved intimate partners. Cases were determined to be eligible if the incident was coded as a misdemeanor or felony battery of a spouse or intimate partner. Eighty-two percent of the victims were females. For designated incidents, a team of officers, including a trained female domestic violence detective, visited households within either twenty-four hours or seven days of a domestic complaint. A written protocol guided the officer or officers making home visits. Officers also asked the victim a series of questions about her relationship with the abuser, history of abuse, and the presence of children and weapons in the home. In Part 1 (Home Visit Data), six months after the reporting date of the last incident in the study, Redlands Police crime analysis officers wrote a software program to search their database to determine if any new incidents had been reported. For Part 2 (New Incident Data), the search returned any cases associated with the same victim in the trigger incident. For any new incidents identified, information was collected on the date, charge, and identity of the perpetrator. Six months following the trigger incident, research staff attempted to interview victims about any new incidents of abuse that might have occurred. These interview attempts were made by telephone. In cases where the victim could not be reached by phone, an incentive letter was sent to the victim's home, offering a $50 stipend to call the research offices. Part 1 (Home Visit Data) contains 345 cases while Part 2 (New Incident Data) contains 344 cases. The discrepancy in the final number across the two parts is due to cases randomized into the sample that turned out to be ineligible or had been assigned previously from another incident. Part 1 (Home Visit Data) contains 63 variables including basic administrative variables such as date(s) of contact and group assignment. There are also variables related to the victim and the perpetrator such as their relationship, whether the perpetrator was arrested during the incident, and whether the perpetrator was present during the interview. Victims were also asked a series of questions as to whether the perpetrator did such things as hit, push, or threatened the victim. Part 2 (New Incident Data) contains 68 variables including dates and charges of previous incidents as well as basic administrative and demographic variables.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The following table, produced by the NSW Bureau of Crime Statistics and Research (BOCSAR) provides information on rates, trends and patterns in domestic violence incidents reported to, or detected by, the NSW Police Force for the period of 2017/18. The data has been aggregated to location following the 2018 Australian Statistical Geography Standard (ASGS) edition of the Local Government Areas (LGAs). Domestic violence is a serious problem which impacts many NSW families. In 2012, an estimated 16.9 per cent of Australian women aged 18 years and over had experienced partner violence since the age of 15 years (ABS Personal Safety Survey 2012). Rate calculations should also be treated very cautiously for LGAs that have high visitor numbers relative to their residential population. This is because rate calculations are based on estimated residential population and no adjustment has been made for the number of people visiting each LGA per year. For the rate calculations, specialised population data were prepared and provided to BOCSAR by the Australian Bureau of Statistics (ABS). For more information please visit the BOSCAR Portal. Please note: AURIN has spatially enabled the original data. LGAs which have populations less than 3000 has been suppressed to maintain confidentiality. Original data values of "n.c." have been set to null.
Number of victims and rate per 100,000 population of police-reported violent crime and traffic violations causing bodily harm or death, by gender of victim and type of violation, Canada, provinces, territories and census metropolitan areas, 2009 to 2023.
https://www.icpsr.umich.edu/web/ICPSR/studies/2858/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/2858/terms
This study was undertaken to evaluate Alexandria, Virginia's Domestic Violence Intervention Program (DVIP), which is a coordinated community response to domestic violence. Specifically, the goals of the study were (1) to determine the effectiveness of DVIP, (2) to compare victims' perceptions of program satisfaction and other program elements between the Alexandria Domestic Violence Intervention Program and domestic violence victim support services in Virginia Beach, Virginia, (3) to examine the factors related to abusers who repeatedly abuse their victims, and (4) to report the findings of attitudinal surveys of the Alexandria police department regarding the mandatory arrest policy. Data were collected from four sources. The first two sources of data were surveys conducted via telephone interviews with females living in either Alexandria, Virginia (Part 1), or Virginia Beach, Virginia (Part 2), who were victims of domestic violence assault incidents in which the police had been contacted. These surveys were designed to describe the services that the women had received, their satisfaction with those services, and their experience with subsequent abuse. For Part 3 (Alexandria Repeat Offender Data), administrative records from the Alexandria Criminal Justice Information System (CJIS) were examined in order to identify and examine the factors related to abusers who repeatedly abused their victims. The fourth source of data was a survey distributed to police officers in Alexandria (Part 4, Alexandria Police Officer Survey Data) and was developed to assess police officers' attitudes regarding the domestic violence arrest policy in Alexandria. In four rounds of interviews for Part 1 and three rounds of interviews for Part 2, victims answered questions regarding the location where the domestic violence incident occurred and if the police were involved, their perceptions of the helpfulness of the police, prosecutor, domestic violence programs, hotlines, and shelters, their relationship to the abuser, their living arrangements at the time of each interview, and whether a protective order was obtained. Also gathered was information on the types of abuse and injuries sustained by the victim, whether she sought medical care for the injuries, whether drugs or alcohol played a role in the incident(s), whether the victim had been physically abused or threatened, yelled at, had personal property destroyed, or was made to feel unsafe by the abuser, if any other programs or persons provided help to the victim and how helpful these additional services were, and whether a judge ordered services for the victim or abuser. After the initial interviews, in subsequent rounds victims were asked if they had had any contact with the abuser since the last interview, if they had experienced any major life changes, if their situation had improved or gotten worse and if so how, and what types of assistance or programs would have helped improve their situation. Demographic variables for Part 3 include offenders' race, sex, age at first criminal nondomestic violence charge, and age at first domestic violence charge. Other variables include charge number, type, initiator, disposition, and sentence of nondomestic violence charges, as well as the conditions of the sentences, imposed days, months, and years, effective days, months, and years, type of domestic violence case, victim's relationship to offender, victim's age, sex, and race, whether alcohol or drugs were involved, if children were present at the domestic violence incident, the assault method used by the offender, and the severity of the assault. For Part 4, police officers were asked whether they knew what a domestic violent incident was, whether arresting without a warrant was considered good policy, whether they were in favor of domestic violence policy as a police response, whether they thought domestic violence policy was an effective deterrent, whether officers should have discretion to arrest, and how much discretion was used to handle domestic violence calls. The number and percent of domestic violence arrests made in the previous year, percent of domestic violence calls that involved mutual combat, and the number of years each respondent worked with the Alexandria, Virginia, police department are included in the file. Demographic variables for Part 4 include the age and gender of each r
Not seeing a result you expected?
Learn how you can add new datasets to our index.
Political scientists have increasingly begun to study how citizen characteristics shape whether—and how—they interact with the police. Less is known about how officer characteristics shape these interactions. In this article, we examine how one officer characteristic—officer sex—shapes the nature of police-initiated contact with citizens. Drawing on literature from multiple fields, we develop and test a set of competing expectations. Using over four million traffic stops made by the Florida State Highway Patrol and Charlotte (North Carolina) Police Department, we find that women officers are less likely to search drivers than men on the force. Despite these lower search rates, when women officers do conduct a search, they are more likely to find contraband and they confiscate the same net amount of contraband as men. These results indicate that women officers are able to minimize the number of negative interactions with citizens without losses in effectiveness.