The graph shows the number of violent crime victims in the United States by gender from 2015 to 2025. The x-axis represents the years, while the y-axis indicates the number of male and female victims reported annually. Male victim counts range from a low of 181,851 in 2015 to a peak of 580,445 in 2023, while female victim counts range from 165,060 in 2015 to a high of 531,872 in 2023. Both genders show a consistent upward trend from 2015 to 2023, followed by a sharp drop in 2025. The data illustrates parallel trends for both male and female victims across the observed period.

The graph shows the number of violent crime victims in the United States by gender and type in 2024. The x-axis represents the crime type, while the y-axis indicates the number of male and female victims reported annually.

In 2022, there were slightly more female victims of violent crime than male victims in the United States, with about ********* male victims and ********* female victims. These figures are a significant increase from the previous year, when there were ********* male victims and ********* female victims. What counts as violent crime? Violent crime in the United States includes murder, rape, sexual assault, robbery, and assault. While violent crime across all areas has been steadily falling over the past few decades, the rate of aggravated assault is still relatively high, at ***** cases per 100,000 of the population. In 2021, there were more property crimes committed in the U.S. than there were violent crimes. Keep your enemies closer It is usually said that most victims know their attacker, and the data backs this up. In 2021, very few murders were committed by strangers. The same goes for rape and sexual assault victims; the majority were perpetrated by acquaintances, intimate partners, or relatives.

Victims of police-reported violent crime, by gender of victim, type of violation, province or territory and census metropolitan area, 2009 to 2024.

In 2023, about ****** women were victims of violent crime in South Korea, compared to ***** men. Over the past few decades, the number of victims of violent crime has significantly increased, with women experiencing a much higher number of these crimes than men.

In 2019, there were *** victims of workplace homicide across the United States. Of these victims, *** were male. This is nearly **** times greater than the number of female victims.

Number, percentage and rate (per 100,000 population) of homicide victims, by racialized identity group (total, by racialized identity group; racialized identity group; South Asian; Chinese; Black; Filipino; Arab; Latin American; Southeast Asian; West Asian; Korean; Japanese; other racialized identity group; multiple racialized identity; racialized identity, but racialized identity group is unknown; rest of the population; unknown racialized identity group), gender (all genders; male; female; gender unknown) and region (Canada; Atlantic region; Quebec; Ontario; Prairies region; British Columbia; territories), 2019 to 2024.

Number, percentage and rate (per 100,000 population) of homicide victims, by gender (all genders; male; female; gender unknown) and Indigenous identity (total; Indigenous identity; non-Indigenous identity; unknown Indigenous identity), Canada, provinces and territories, 2014 to 2020.

The purpose of this project was to estimate long-term trends in violent victimization by gender and various socio-demographic factors. These factors included race and ethnicity, age, type of place (urban, suburban, rural), socio-economic status, marital status (for adults), and family status (for juveniles). The principal investigators also further disaggregated these violent victimization trends by victim-offender relationship to reveal trends in violence committed by strangers, intimate partners, and known/non-intimate offenders. The researchers produced these various trends in violent victimization by pooling and appropriately weighting the National Crime Survey and its successor, the National Crime Victimization Survey for the period 1973 to 2005, resulting in 33 years of data. In total, a series of 135 trends in violent victimization were developed.

Whereas the most common crime experienced by both men and women in Denmark was violent crimes, a significantly higher number of the victims of sexual offences and other types of crimes were women. In detail, there were 5,200 female victims of sexual offences in 2022, compared to only 600 male victims. Moreover, nearly 3,800 women reported that they had been victims of other types of crimes, whereas the same number for men was just above 700.

In 2023, the FBI reported that there were 13,789 victims of murder who identified as male, compared to 3,849 victims of murder who identified as female in the United States. A further 75 murder victims were of an unknown gender in that year.

This statistic shows the proportion of survey respondents who were victims of crime in 2017/18, by gender. Males were slightly more likely to be victims of all types of crime than females.**** percent of male were victims of all crime types, compared to **** percent of females being a victim of all types of crime.

Number of victims and rate per 100,000 population of police-reported violent crime and traffic violations causing bodily harm or death, by age and gender of victim, and type of violation, Canada, provinces and territories, 2009 to 2023.

In 2023, around 88.9 percent of all recorded homicides in Chile had a male victim. During the last few years, male victims recorded over 85 percent of homicides. The South American country had one of the lowest homicide rates in Latin America and the Caribbean.

Attributes/demographics of FBI Uniform Crime Reporting Part I violent crime victims and offenders, updated monthly, aggregated to the CMPD jurisdiction, Neighborhood Profile Area (NPA), and Violent Crime Hotspot (focus areas for the City's violence reduction initiative). Monthly counts cover the time frame Jan-2015 to present. Crime categories comprising violent crime include homicide, rape, robbery, and aggravated assault. Attributes of violent crime victims include counts of domestic violence (DV and Non-DV), age group, gender, and race/ethnicity. Attributes of violent crime offenders include counts of age group, gender, and race/ethnicity.

This is a custom tabulation from Statistics Canada. Intimate partner and non-intimate partner victims of police-reported violent crime and traffic offences causing bodily harm or death, by age and gender of victim, provinces, territories and census metropolitan areas, 2010 to 2021. Data are from the Uniform Crime Reporting (UCR2) Trend Database, which contains historical data that permit the analysis of trends since 2009 in the characteristics of incidents, and accused and victim characteristics, such as age, gender and accused-victim relationship. This database includes respondents accounting for 99% of the population of Canada. Source: Statistics Canada, Canadian Centre for Justice and Community Safety Statistics, Uniform Crime Reporting (UCR2) Survey, Trend Database.

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 2022.

🌍 Dataset Description

This dataset provides detailed information about criminal incidents, capturing various characteristics of both the offenders and victims. It includes records of crimes along with demographic details such as age, gender, race, and the status of the individuals involved. The data also contains information on the disposition of the case (whether it was closed or open) and the nature of the crime.

The dataset covers a wide range of crime categories such as theft, vandalism, violence, sexual crimes, and drug/weapon-related offenses. This allows for an in-depth analysis of criminal activities, their impact on different demographics, and potential correlations between various factors such as age, gender, and the type of crime committed.

📊 Columns:

• Disposition: The current status of the case (Closed or Open).
• OffenderStatus: The status of the offender (e.g., ARRESTED).
• Offender_Race: The race of the offender (e.g., BLACK, WHITE, ASIAN, etc.).
• Offender_Gender: The gender of the offender (MALE or FEMALE).
• Offender_Age: The age of the offender (numerical value).
• PersonType: Type of person involved in the case (e.g., VICTIM, REPORTING PERSON, INTERVIEW).
• Victim_Race: The race of the victim (e.g., BLACK, WHITE, ASIAN, etc.).
• Victim_Gender: The gender of the victim (MALE or FEMALE).
• Victim_Age: The age of the victim (numerical value).
• Victim_Fatal_Status: Indicates if the victim’s injuries were fatal or non-fatal.
• Report Type: Type of report filed (e.g., Supplemental Report, Incident Report).
• Category: The category of crime (e.g., Theft, Vandalism, Violence, etc.).

🔍 Use Cases:

This dataset is ideal for analyzing criminal incidents, studying the relationship between various demographic factors and crime types, and performing predictive modeling for crime occurrence. It is useful for investigating crime patterns and trends, assessing how crime impacts different groups, and can assist in law enforcement resource allocation and policy-making. The data can also be utilized in machine learning applications to classify or predict crime outcomes based on offender and victim details.

Intimate partner and non-intimate partner victims of police-reported violent crime and traffic offences causing bodily harm or death, by age and gender of victim c (1, 2)Frequency: AnnualTable: 35-10-0202-01Release date: 2023-11-21Geography: Canada, Province or territory, Census metropolitan area, Census metropolitan area partTable Corrections: Date Note On December 10, 2021, the 2019 and 2020 data were revised as a result of corrections made to the populations used to calculate rates per 100 000 population. Footnotes: 1 In general, for police-reported incidents that involve violations against the person, a victim record is collected for each victim involved in the incident. If an individual is a victim in multiple incidents in the same reference year, that individual will be counted as one victim for each incident. Some victims experience violence over a period of time, sometimes years, all of which may be considered by the police to be part of one continuous incident and are counted as a single victim. Victim records are not required for all violent violations, but are accepted, for some violent offences such as uttering threats and criminal harassment. 2 Data are from the Uniform Crime Reporting (UCR2) Trend Database, which contains historical data that permit the analysis of trends since 2009 in the characteristics of incidents, and accused and victim characteristics, such as age, gender and accused–victim relationship. This database includes respondents accounting for 99% of the population of Canada. 3 A census metropolitan area (CMA) consists of one or more neighbouring municipalities situated around a major urban core. A CMA must have a total population of at least 100,000, of which 50,000 or more live in the urban core. To be included in the CMA, other adjacent municipalities must have a high degree of integration with the central urban core, as measured by commuting flows derived from census data. A CMA typically comprises more than one police service. CMA populations have been adjusted to follow policing boundaries. The Oshawa CMA is excluded from this analysis owing to the incongruity between the police service jurisdictional boundaries and the CMA boundaries. Belleville and Lethbridge became CMAs as of the 2016 Census. In 2022, coverage for each CMA was virtually 100%, except in Toronto (90%) and Hamilton (75%). As a result, counts and rates may differ from information from other sources. 4 Victim age is calculated based on the end date of an incident, as reported by the police. Some victims experience violence over a period of time, sometimes years, all of which may be considered by the police to be part of one continuous incident. 5 Excludes the portion of Halton Regional Police Service that polices the Hamilton census metropolitan area. As a result, counts and rates may differ from information from other sources. 6 The category “age of victim unknown” includes victims whose ages were reported as 80 years and older, but were identified as possible instances of miscoding, as well as victims in Quebec whose ages were unknown but were miscoded as 0. 7 Rates are calculated on the basis of 100,000 population in each age and gender group unless otherwise noted for specific relationships. Populations based on July 1 estimates from Statistics Canada, Centre for Demography. Rates for victims with unknown age or unknown gender are not available for any reference period, as population estimates cannot be applied to calculate rates where these elements are unknown. 9 The option for police to code victims as non-binary in the Uniform Crime Reporting (UCR) Survey was implemented in 2018. Given that small counts of victims identified as “non-binary” may exist, the UCR aggregate data available to the public have been recoded to assign these counts to either “male” or “female,” in order to ensure the protection of confidentiality and privacy. Victims identified as non-binary have been assigned to either male or female based on the regional distribution of victims’ gender. 8 Includes victims aged 15 years and older who were victimized by current and former legally married spouses and common-law partners. Also includes victims aged 12 years and older of current and former boyfriends and girlfriends and other intimate relationships (i.e., those with whom they had a sexual relationship but for which none of the other relationship categories apply). Spousal violence victims under the age of 15 years are included in the relationship category “other family.” Victims of non-spousal intimate partner violence under the age of 12 years are included in the relationship category “unknown relationship.” Rates for total victims are based on populations aged 12 years and older. Rates for other victim age groups are calculated on the basis of their corresponding age group populations.