Nature of sexual assault by rape or penetration experienced by adults since the age of 16 years, including breakdowns by age, sex, victim-perpetrator relationship, location and other factors, based on findings from the Crime Survey for England and Wales (CSEW).

In 2023, Texas had the highest number of forcible rape cases in the United States, with 15,097 reported rapes. Delaware had the lowest number of reported forcible rape cases at 194. Number vs. rate It is perhaps unsurprising that Texas and California reported the highest number of rapes, as these states have the highest population of states in the U.S. When looking at the rape rate, or the number of rapes per 100,000 of the population, a very different picture is painted: Alaska was the state with the highest rape rate in the country in 2023, with California ranking as 30th in the nation. The prevalence of rape Rape and sexual assault are notorious for being underreported crimes, which means that the prevalence of sex crimes is likely much higher than what is reported. Additionally, more than a third of women worry about being sexually assaulted, and most sexual assaults are perpetrated by someone the victim knew.

This dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that occurred in the City of Chicago from 2001 to present, minus the most recent seven days. Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified. Should you have questions about this dataset, you may contact the Research & Development Division of the Chicago Police Department at 312.745.6071 or RandD@chicagopolice.org. Disclaimer: These crimes may be based upon preliminary information supplied to the Police Department by the reporting parties that have not been verified. The preliminary crime classifications may be changed at a later date based upon additional investigation and there is always the possibility of mechanical or human error. Therefore, the Chicago Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information and the information should not be used for comparison purposes over time. The Chicago Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. The Chicago Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of Chicago or Chicago Police Department web page. The user specifically acknowledges that the Chicago Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. The unauthorized use of the words "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful. This web page does not, in any way, authorize such use. Data is updated daily Tuesday through Sunday. The dataset contains more than 65,000 records/rows of data and cannot be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Wordpad, to view and search. To access a list of Chicago Police Department - Illinois Uniform Crime Reporting (IUCR) codes, go to http://data.cityofchicago.org/Public-Safety/Chicago-Police-Department-Illinois-Uniform-Crime-R/c7ck-438e

This dataset shows the statistics for reported rapes for the period 2003 - 2010 by country. The data also shows the rate expressed as rapes per 100,000 people. The 'latest' column shows the most recent rate per country. It is important to note that this dataset only shows recorded rates and many countries do not publish this information (recorded as zero). Of course, rape is not always reported so actual instances may be much higher. Data sourced from http://en.wikipedia.org/wiki/Rape_statistics and country boundaries from http://www.sharegeo.ac.uk/handle/10672/124. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2012-09-13 and migrated to Edinburgh DataShare on 2017-02-21.

Sexual offence numbers, prevalence and victim characteristics, including breakdowns by type of incident, sex, victim-perpetrator relationship and location based upon findings from the Crime Survey for England and Wales and police recorded crime.

This dataset includes all valid felony, misdemeanor, and violation crimes reported to the New York City Police Department (NYPD) for all complete quarters so far this year (2016). For additional details, please see the attached data dictionary in the ‘About’ section.

The National Crime Victimization Survey (NCVS), previously called the National Crime Survey (NCS), has been collecting data on personal and household victimization through an ongoing survey of a nationally-representative sample of residential addresses since 1973. The NCVS was designed with four primary objectives: (1) to develop detailed information about the victims and consequences of crime, (2) to estimate the number and types of crimes not reported to the police, (3) to provide uniform measures of selected types of crimes, and (4) to permit comparisons over time and types of areas. Beginning in 1992, the survey categorizes crimes as "personal" or "property." Personal crimes include rape and sexual assault, robbery, aggravated and simple assault, and purse-snatching/pocket-picking, while property crimes include burglary, theft, motor vehicle theft, and vandalism. Each respondent is asked a series of screen questions designed to determine whether she or he was victimized during the six-month period preceding the first day of the month of the interview. A "household respondent" is also asked to report on crimes against the household as a whole (e.g., burglary, motor vehicle theft). The data include type of crime, month, time, and location of the crime, relationship between victim and offender, characteristics of the offender, self-protective actions taken by the victim during the incident and results of those actions, consequences of the victimization, type of property lost, whether the crime was reported to police and reasons for reporting or not reporting, and offender use of weapons, drugs, and alcohol. Basic demographic information such as age, race, gender, and income is also collected, to enable analysis of crime by various subpopulations. This dataset represents the concatenated version of the NCVS on a collection year basis for 1992-2023. A collection year contains records from interviews conducted in the 12 months of the given year. Under the collection year format, victimizations are counted in the year the interview is conducted, regardless of the year when the crime incident occurred.For additional information on the dataset, please see the documentation for the data from the most current year of the NCVS, ICPSR Study 38962.

Despite the fact that most states enacted rape reform legislation by the mid-1980s, empirical research on the effect of these laws was conducted in only four states and for a limited time span following the reform. The purpose of this study was to provide both increased breadth and depth of information about the effect of the rape law changes and the legal issues that surround them. Statistical data on all rape cases between 1970 and 1985 in Atlanta, Chicago, Detroit, Houston, Philadelphia, and Washington, DC, were collected from court records. Monthly time-series analyses were used to assess the impact of the reforms on rape reporting, indictments, convictions, incarcerations, and sentences. The study also sought to determine if particular changes, or particular combinations of changes, affected the case processing and disposition of sexual assault cases and whether the effect of the reforms varied with the comprehensiveness of the changes. In each jurisdiction, data were collected on all forcible rape cases for which an indictment or information was filed. In addition to forcible rape, other felony sexual assaults that did not involve children were included. The names and definitions of these crimes varied from jurisdiction to jurisdiction. To compare the pattern of rape reports with general crime trends, reports of robbery and felony assaults during the same general time period were also obtained from the Uniform Crime Reports (UCR) from the Federal Bureau of Investigation when available. For the adjudicated case data (Parts 1, 3, 5, 7, 9, and 11), variables include month and year of offense, indictment, disposition, four most serious offenses charged, total number of charges indicted, four most serious conviction charges, total number of conviction charges, type of disposition, type of sentence, and maximum jail or prison sentence. The time series data (Parts 2, 4, 6, 8, 10, and 12) provide year and month of indictment, total indictments for rape only and for all sex offenses, total convictions and incarcerations for all rape cases in the month, for those on the original rape charge, for all sex offenses in the month, and for those on the original sex offense charge, percents for each indictment, conviction, and incarceration category, the average maximum sentence for each incarceration category, and total police reports of forcible rape in the month. Interviews were also conducted in each site with judges, prosecutors, and defense attorneys, and this information is presented in Part 13. These interviewees were asked to rate the importance of various types of evidence in sexual assault cases and to respond to a series of six hypothetical cases in which evidence of the victim's past sexual history was at issue. Respondents were also presented with a hypothetical case for which some factors were varied to create 12 different scenarios, and they were asked to make a set of judgments about each. Interview data also include respondent's title, sex, race, age, number of years in office, and whether the respondent was in office before and/or after the reform.

This study had four key goals. The first goal was to identify how many women in the United States and in college settings have ever been raped or sexually assaulted during their lifetime and within the past year. The next goal was to identify key case characteristics of drug-facilitated and forcible rapes. The third goal was to examine factors that affect the willingness of women to report rape to law enforcement or seek help from their support network. The last goal was to make comparisons between the different types of rape. Part 1 (General Population) data consisted of a national telephone household sample of 3,001 United States women, whereas Part 2 (College Population) data consisted of 2,000 college women selected from a reasonably representative national list of women attending four year colleges and universities. Both data parts contain the same 399 variables. Interviews were completed between January 23 and June 26, 2006. Respondents were asked questions regarding risk perception, fear of violence, and accommodation behavior. The women were also asked their opinions and attitudes about reporting rape to the authorities and disclosing rape to family members, peers, or other individuals. This includes questions about barriers to reporting and experiences that women have had being the recipient of a disclosure from a friend, relative, or other individual. The respondents were asked a series of questions about rape, including different types of forcible, drug- or alcohol-facilitated, and incapacitated rape. For women who endorsed one or more rape experiences, a wide range of rape characteristics were assessed including characteristics around the nature of the event, perpetrator-victim relationship, occurrence of injury, involvement of drugs or alcohol, receipt of medical care, and whether the rape was reported to the authorities. The respondents were also asked a series of questions regarding substance use, including prescription and illegal drugs and alcohol. Additionally, a series of questions related to post-traumatic stress disorder and depression were asked. Finally, the women were asked to provide basic demographic information such as age, race, ethnicity, and income.

In present times, gender-based violence (GBV) is a global scourge. It is highly prevalent in South Africa, where the rates of incidents are exorbitant, particularly those of sexual violence against women. The goal of this paper is to explore the implications of factors such as societal norms affected by the country’s unique historical circumstances that promote rising rates of gender-based violence, significant underreporting of these instances, sexual violence and the consequences for the survivors. The paper uses secondary data to study the intersectionality of gender, population group (race), socio-economic status, and geographical location. We further analyze the sociodemographic of GBV (particularly rape) victims and perpetrators to put the focus on better and more gender-responsive prevention strategies. The paper highlights the importance of paying attention to intimate partner violence (IPV) as this constitutes a highly significant percentage of the total cases of rape and femicide. The study shows that non-white women constitute the most vulnerable group to GBV. We conclude that proper mechanisms must be put in place which require the cooperation of the police, judicial, medical, social and other support services to properly tackle this violence which must account for every population group, especially the historically marginalized ones.Citation: Alvarez Merino, E., & Afa, I. J. (2025). Exploring the Complexities of Gender-Based Violence in South Africa: A Comprehensive Analysis. International Journal of Humanities and Social Science, 15, 26-38. https://doi.org/10.1080/ijhss.v15p3URL: https://ijhssnet.com/journal/index/5011

This dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that occurred in the City of Chicago from 2001 to present, minus the most recent seven days. Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified. Should you have questions about this dataset, you may contact the Research & Development Division of the Chicago Police Department at 312.745.6071 or RandD@chicagopolice.org. Disclaimer: These crimes may be based upon preliminary information supplied to the Police Department by the reporting parties that have not been verified. The preliminary crime classifications may be changed at a later date based upon additional investigation and there is always the possibility of mechanical or human error. Therefore, the Chicago Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information and the information should not be used for comparison purposes over time. The Chicago Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. The Chicago Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of Chicago or Chicago Police Department web page. The user specifically acknowledges that the Chicago Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. The unauthorized use of the words "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful. This web page does not, in any way, authorize such use. Data are updated daily. The dataset contains more than 65,000 records/rows of data and cannot be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Wordpad, to view and search. To access a list of Chicago Police Department - Illinois Uniform Crime Reporting (IUCR) codes, go to http://data.cityofchicago.org/Public-Safety/Chicago-Police-Department-Illinois-Uniform-Crime-R/c7ck-438e

This table contains data on the rate of violent crime (crimes per 1,000 population) for California, its regions, counties, cities and towns. Crime and population data are from the Federal Bureau of Investigations, Uniform Crime Reports. Rates above the city/town level include data from city, university and college, county, state, tribal, and federal law enforcement agencies. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. Ten percent of all deaths in young California adults aged 15-44 years are related to assault and homicide. In 2010, California law enforcement agencies reported 1,809 murders, 8,331 rapes, and over 95,000 aggravated assaults. African Americans in California are 11 times more likely to die of assault and homicide than Whites. More information about the data table and a data dictionary can be found in the About/Attachments section.

The "Bangladesh Rape Cases Data" dataset contains detailed information on rape cases reported in various districts of Bangladesh. This dataset is valuable for analyzing trends, patterns, and regional distributions of reported rape cases over a decade. It can be utilized by researchers, policymakers, and social scientists to study and address the issue of rape in Bangladesh. Total Sample Size: This dataset comprises a total of 2,813 rows, each representing an individual case reported in various districts across Bangladesh. Data Description: headline: Type: String Description: The headline of the news article reporting the rape case. It provides a brief summary of the incident. district-tag: Type: String Description: The district where the incident occurred. This helps in identifying the geographical distribution of the cases. division-tag: Type: String Description: The division of Bangladesh to which the district belongs. This is useful for broader regional analysis. subdistrict-tag: Type: String Description: The specific subdistrict or locality within the district where the incident occurred. This column may contain missing values if the subdistrict is not specified. id: Type: String (UUID format) Description: A unique identifier for each news article, ensuring that each entry can be distinctly referenced. url: Type: String Description: The web link to the original news article, allowing users to access the full report for more detailed information. last-published-at: Type: DateTime Description: The date and time when the news article was last published, helping to understand the timeline of the reported cases. offset: Type: Integer Description: An offset value for the article, potentially indicating its position in a larger dataset or the order of processing. content: Type: String Description: The main content of the news article, providing detailed information about the incident. Temporal Coverage: Minimum Date: February 22, 2013 Maximum Date: April 10, 2023 The dataset spans over a decade, allowing for a comprehensive temporal analysis of the reported cases. Potential Uses: Trend Analysis: Analyze how the frequency of reported cases changes over time. Geographical Analysis: Identify regions with higher or lower reporting rates. Content Analysis: Examine the language and details provided in the headlines and content to understand the nature of reporting. Correlation Studies: Investigate possible correlations between reported cases and other socio-economic factors. Data Quality and Considerations: Missing Values: Some columns, such as subdistrict-tag, may contain missing values where specific information was not provided. Data Source: The data is sourced from news articles, so it may be influenced by reporting biases and the availability of news coverage.

This article is a comparative analysis of sexual violence perpetrated by state armed forces during the Guatemalan and Peruvian civil wars. Focusing on the type of violation and the context in which it occurs provides new insights into the motives behind its use in war. It introduces a new data set on sexual violence compiled from truth commission documents and nongovernmental human rights organizations’ reports. The data reveal that members of the state armed forces perpetrated the majority of sexual violations, that rape and gang rape are the most frequent but not the only abuses committed, and that women are the overwhelming majority of victims of sexual violence. Aggregate patterns suggest that state authorities must have known of mass sexual abuse and failed to act in accordance with international law. Moreover, some evidence suggests sexual violence is used as a weapon of war. However, mono-causal models cannot sufficiently account for the variation and complexity in its use. Even within the same conflict, sexual violence can serve multiple functions in different contexts and at different points in time.

This excel file contains the data from our survey with 117 participants who contributed to the #MeToo hashtag. Participants were mostly from Europe and Australasia. Most identified as women, but a few men responded as well. The survey asks about the experiences of contributing to the hashtag, why people did (not) share a personal experience, and what potential they feel the #MeToo movement has for making broader structural changes.We have also published a chapter based on the dataset:Mendes, K. & Ringrose, J. (2019) ‘Digital Feminist Activism: #MeToo and the everyday experiences of challenging rape culture’ in Bianca Fileborn and Rachel Loney-Howes (eds.) #MeToo & the politics of social change. Basingstoke: Palgrave Macmillan.

Crime data assembled by census block group for the MSA from the Applied Geographic Solutions' (AGS) 1999 and 2005 'CrimeRisk' databases distributed by the Tetrad Computer Applications Inc. CrimeRisk is the result of an extensive analysis of FBI crime statistics. Based on detailed modeling of the relationships between crime and demographics, CrimeRisk provides an accurate view of the relative risk of specific crime types at the block group level. Data from 1990 - 1996,1999, and 2004-2005 were used to compute the attributes, please refer to the 'Supplemental Information' section of the metadata for more details. Attributes are available for two categories of crimes, personal crimes and property crimes, along with total and personal crime indices. Attributes for personal crimes include murder, rape, robbery, and assault. Attributes for property crimes include burglary, larceny, and mother vehicle theft. 12 block groups have no attribute information. CrimeRisk is a block group and higher level geographic database consisting of a series of standardized indexes for a range of serious crimes against both persons and property. It is derived from an extensive analysis of several years of crime reports from the vast majority of law enforcement jurisdictions nationwide. The crimes included in the database are the "Part I" crimes and include murder, rape, robbery, assault, burglary, theft, and motor vehicle theft. These categories are the primary reporting categories used by the FBI in its Uniform Crime Report (UCR), with the exception of Arson, for which data is very inconsistently reported at the jurisdictional level. Part II crimes are not reported in the detail databases and are generally available only for selected areas or at high levels of geography. In accordance with the reporting procedures using in the UCR reports, aggregate indexes have been prepared for personal and property crimes separately, as well as a total index. While this provides a useful measure of the relative "overall" crime rate in an area, it must be recognized that these are unweighted indexes, in that a murder is weighted no more heavily than a purse snatching in the computation. For this reason, caution is advised when using any of the aggregate index values. The block group boundaries used in the dataset come from TeleAtlas's (formerly GDT) Dynamap data, and are consistent with all other block group boundaries in the BES geodatabase. This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase. The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive. The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders. Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful. This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase. The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive. The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders. Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.

In 2024, the NCVS instrument was redesigned. The data in this study were collected from the legacy instrument. Please see the Collection Notes below for more details. The National Crime Victimization Survey (NCVS) Series, previously called the National Crime Surveys (NCS), has been collecting data on personal and household victimization through an ongoing survey of a nationally-representative sample of residential addresses since 1973. The NCVS was designed with four primary objectives: (1) to develop detailed information about the victims and consequences of crime, (2) to estimate the number and types of crimes not reported to the police, (3) to provide uniform measures of selected types of crimes, and (4) to permit comparisons over time and types of areas. The survey categorizes crimes as "personal" or "property." Personal crimes include rape and sexual attack, robbery, aggravated and simple assault, and purse-snatching/pocket-picking, while property crimes include burglary, theft, motor vehicle theft, and vandalism. Each respondent is asked a series of screen questions designed to determine whether she or he was victimized during the six-month period preceding the first day of the month of the interview. A "household respondent" is also asked to report on crimes against the household as a whole (e.g., burglary, motor vehicle theft). The data include type of crime, month, time, and location of the crime, relationship between victim and offender, characteristics of the offender, self-protective actions taken by the victim during the incident and results of those actions, consequences of the victimization, type of property lost, whether the crime was reported to police and reasons for reporting or not reporting, and offender use of weapons, drugs, and alcohol. Basic demographic information such as age, race, gender, and income is also collected, to enable analysis of crime by various subpopulations. This version of the NCVS, referred to as the collection year, contains records from interviews conducted in the 12 months of the given year.

The objectives of this study were to examine long-term effects of feeding forage rape (Brassica napus L.) on methane yields (g methane per kg of feed dry matter intake), and to propose mechanisms that may be responsible for lower emissions from lambs fed forage rape compared to perennial ryegrass (Lolium perenne L.). The lambs were fed fresh winter forage rape or ryegrass as their sole diet for 15 weeks. Methane yields were measured using open circuit respiration chambers, and were 22-30% smaller from forage rape than from ryegrass (averages of 13.6 g versus 19.5 g after 7 weeks, and 17.8 g versus 22.9 g after 15 weeks). The difference therefore persisted consistently for at least 3 months. The smaller methane yields from forage rape were not related to nitrate or sulfate in the feed, which might act as alternative electron acceptors, or to the levels of the potential inhibitors glucosinolates and S-methyl L-cysteine sulfoxide. Ruminal microbial communities in forage rape-fed lambs were different from those in ryegrass-fed lambs, with greater proportions of potentially propionate-forming bacteria, and were consistent with less hydrogen and hence less methane being produced during fermentation. The molar proportions of ruminal acetate were smaller and those of propionate were greater in forage rape-fed lambs, consistent with the larger propionate-forming populations and less hydrogen production. Forage rape contained more readily fermentable carbohydrates and less structural carbohydrates than ryegrass, and was more rapidly degraded in the rumen, which might favour this fermentation profile. The ruminal pH was lower in forage rape-fed lambs, which might inhibit methanogenic activity, shifting the rumen fermentation to more propionate and less hydrogen and methane. The significance of these two mechanisms remains to be investigated. The results suggest that forage rape is a potential methane mitigation tool in pastoral-based sheep production systems.