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 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.

To further the understanding of violence against women, the National Institute of Justice (NIJ) and the National Center for Injury Prevention and Control (NCIPC), Centers for Disease Control and Prevention (CDC), jointly sponsored the National Violence Against Women (NVAW) Survey. To provide a context in which to place women's experiences, the NVAW Survey sampled both women and men. Completed interviews were obtained from 8,000 women and 8,005 men who were 18 years of age or older residing in households throughout the United States. The female version of the survey was fielded from November 1995 to May 1996. The male version of the survey was fielded during February to May 1996. Spanish versions of both the male and female surveys were fielded from April to May 1996. Respondents to the NVAW Survey were queried about (1) their general fear of violence and the ways in which they managed their fears, (2) emotional abuse they had experienced by marital and cohabitating partners, (3) physical assault they had experienced as children by adult caretakers, (4) physical assault they had experienced as adults by any type of perpetrator, (5) forcible rape or stalking they had experienced by any type of perpetrator, and (6) incidents of threatened violence they had experienced by any type of perpetrator. Respondents disclosing victimization were asked detailed questions about the characteristics and consequences of victimization as they experienced it, including injuries sustained and use of medical services. Incidents were recorded that had occurred at any time during the respondent's lifetime and also those that occurred within the 12 months prior to the interview. Data were gathered on both male-to-female and female-to-male intimate partner victimization as well as abuse by same-sex partners. Due to the sensitive nature of the survey, female respondents were interviewed by female interviewers. In order to test for possible bias caused by the gender of the interviewers when speaking to men, a split sample was used so that half of the male respondents had female interviewers and the other half had male interviewers. The questionnaires contained 14 sections, each covering a different topic, as follows. Section A: Respondents' fears of different types of violence, and behaviors they had adopted to accommodate those fears. Section B: Respondent demographics and household characteristics. Section C: The number of current and past marital and opposite-sex and same-sex cohabitating relationships of the respondent. Section D: Characteristics of the respondent's current relationship and the demographics and other characteristics of their spouse and/or partner. Section E: Power, control, and emotional abuse by each spouse or partner. Sections F through I: Screening for incidents of rape, physical assault, stalking, and threat victimization, respectively. Sections J through M: Detailed information on each incident of rape, physical assault, stalking, and threat victimization, respectively, reported by the respondent for each type of perpetrator identified in the victimization screening section. Section N: Violence in the respondent's current relationship, including steps taken because of violence in the relationship and whether the violent behavior had stopped. The section concluded with items to assess if the respondent had symptoms associated with post-traumatic stress disorder. Other variables in the data include interviewer gender, respondent gender, number of adult women and adult men in the household, number of different telephones in the household, and region code.

This dataset contains the tweet ids of 1,098,567 tweets, including tweets between October 1, 2019 and December 31, 2019. This collection is a subset of the Schlesinger Library #metoo Digital Media Collection.These tweets were collected weekly from the Twitter API through Social Feed Manager using the POST statuses/filter method of the Twitter Stream API..Please note that there will be no updates to this datasetBecause of the size of the files, the list of identifiers are split in 2 files containing 1,000,000 ids each.Per Twitter’s Developer Policy, tweet ids may be publicly shared for academic purposes; tweets may not. Therefore, this dataset only contains tweet ids. In order to retrieve tweets still available (not deleted by users) tools like Hydrator are availableThere are similar subsets related to the Schlesinger Library #metoo Digital Media Collection available in this dataverse

The purpose of this study was to use data from the National Crime Survey (NCS) and the National Crime Victimization Survey (NCVS) to explore whether the likelihood of police notification by rape victims had increased between 1973-2000. To avoid the ambiguities that could arise in analyses across the two survey periods, the researchers analyzed the NCS (1973-1991) and NCVS data (1992-2000) separately. They focused on incidents that involved a female victim and one or more male offenders. The sample for 1973-1991 included 1,609 rapes and the corresponding sample for 1992-2000 contained 636 rapes. In their analyses, the researchers controlled for changes in forms of interviewing used in the NCS and NCVS. Logistic regression was used to estimate effects on the measures of police notification. The analyses incorporated the currently best available methods of accounting for design effects in the NCS and NCVS. Police notification served as the dependent variable in the study and was measured in two ways. First, the analysis included a polytomous dependent variable that contrasted victim reported incidents and third-party reported incidents, respectively, with nonreported incidents. Second, a binary dependent variable, police notified, also was included. The primary independent variables in the analysis were the year of occurrence of the incident reported by the victim and the relationship between the victim and the offender. The regression models estimated included several control variables, including measures of respondents' socioeconomic status, as well as other victim, offender, and incident characteristics that may be related both to the nature of rape and to the likelihood that victims notify the police.

The purpose of the study was to evaluate the effectiveness of a rape prevention program that used a community of responsibility model to teach women and men how to intervene safely and effectively in cases of sexual violence before, during, and after incidents with strangers, acquaintances, or friends. Instead of focusing on women as potential victims and men as potential perpetrators, the program was different from other prevention programs in that it approached both women and men as potential bystanders or witnesses to behaviors related to sexual violence. Three hundred and eighty-nine undergraduate students were recruited to participant in the study in the spring (first wave) and fall (second wave) semesters of 2003 at a northeastern state university in the United States. Participants were randomly assigned to one of two treatment groups or a control group. All first-wave participants filled out pretest questionnaires (Part 1), post-test questionnaires (Part 2), and questionnaires two (Part 3) and twelve (Part 4) months following the first post test. Those in the first wave experimental conditions participated in the one-session or three-session training program prior to filling out the post-test questionnaire, and they participated in a booster session before filling out the questionnaire at the two-month mark. Second-wave participants experienced similar treatments through the two-month follow-up questionnaire. After that, they received a four-month follow-up questionnaire (Part 5) at the same time that the first-wave participants did their twelve-month follow-up questionnaire. Numerous demographic variables are included in the study, along with variables from 15 different scales, a knowledge questionnaire, responses to vignettes, and respondents' own experiences with sexual violence.

This dataset contains the tweet ids of 1,482,343 tweets with the hashtag #believesurvivors. This collection is a subset of the Schlesinger Library #metoo Digital Media Collection, and contains tweets published between October 15, 2017 and March 31, 2020.Tweets between October 15, 2017 and December 10, 2018 were licensed from Twitter's Historical PowerTrack and received through GNIP. Tweets after December 10, 2018 were collected weekly from the Twitter API through Social Feed Manager using the POST statuses/filter method of the Twitter Stream API.Please note that this is VERSION 1 of the dataset. New versions with updated data will be submitted at the end of each quarter.Because of the size of the files, the list of identifiers are split in 2 files containing 1,000,000 ids each.Per Twitter’s Developer Policy, tweet ids may be publicly shared for academic purposes; tweets may not. Therefore, this dataset only contains tweet ids. In order to retrieve tweets still available (not deleted by users) tools like Hydrator are availableThere are similar subsets related to the Schlesinger Library #metoo Digital Media Collection available in this dataverse

The National Intimate Partner and Sexual Violence Survey (NISVS) is an ongoing nationally representative survey that assessed experiences of sexual violence, stalking, and intimate partner violence among adult women and men in the United States and for each individual state. The survey focused exclusively on violence and collected information about: Sexual violence by any perpetrator, including information related to rape, being made to penetrate someone else, sexual coercion, unwanted sexual contact, and non-contact unwanted sexual experiences Stalking, including the use of newer technologies such as text messages, emails, monitoring devices (e.g., cameras and GPS, or global positioning system devices), by perpetrators known and unknown to the victim Physical violence by an intimate partner Psychological aggression by an intimate partner, including information on expressive forms of aggression and coercive control Control of reproductive or sexual health by an intimate partner The NISVS project and data collection was overseen by the Centers for Disease and Prevention (CDC). The overall cost of the NISVS project was shared between the CDC, the Department of Defense (DoD) and the National Institute of Justice (NIJ). ICPSR has multiple versions of NISVS data that you can access by clicking on the links provided below.

This qualitative study explored incidents of sexual assault of women by former husbands or cohabitants and the link to male peer support for sexually aggressive men in rural Ohio. Sexual assault was defined as unwanted sexual contact, sexual coercion, attempted rape, or rape. A series of screening questions were asked to determine a respondent's eligibility for inclusion in the study. The main criteria were being aged 18 or older and having ever had any type of unwanted sexual experience when they wanted to end, were trying to end, or after they had ended a relationship with a husband or live-in male partner. If they met the selection criteria, the women were invited to a semi-structured face-to-face interview at a time and place of their choosing. Between February 2003 and July 2004, 43 women were interviewed. The interviews included several demographic questions such as income, level of education, marital status, length of the relationship, and how long the respondent had lived in the area. Other questions asked about the unwanted sexual experiences, social support networks, and male pornography use.

This dataset contains the tweet ids of 6,007,686 tweets, including tweets between July 1, 2018 and September 31, 2018. This collection is a subset of the Schlesinger Library #metoo Digital Media Collection.These tweets were licensed from Twitter's Historical PowerTrack and received through GNIP.Please note that there will be no updates to this datasetBecause of the size of the files, the list of identifiers are split in 7 files containing 1,000,000 ids each.Per Twitter’s Developer Policy, tweet ids may be publicly shared for academic purposes; tweets may not. Therefore, this dataset only contains tweet ids. In order to retrieve tweets still available (not deleted by users) tools like Hydrator are availableThere are similar subsets related to the Schlesinger Library #metoo Digital Media Collection available in this dataverse

The purpose of this project was to use statistical modeling techniques to estimate rape and domestic assault rates, adjusting for interviewing conditions under which the National Crime Victimization Survey (NCVS) was administered. Data for women 16 years of age and older interviewed in the NCVS (see NATIONAL CRIME SURVEYS: NATIONAL SAMPLE, 1986-1990 [NEAR-TERM DATA] [ICPSR 8864]) were analyzed. The researchers considered whether the type of interview (personal or telephone) and the presence of another person (particularly a spouse) influenced or "gagged" the reporting of rape and domestic violence in the NCVS. The researchers also investigated correlates, primarily demographic in nature, of reporting rape, domestic violence, other assaults, and breaking and entry. In total, the data file contains reports of 434 rapes, 1,973 incidents of domestic violence, 13,459 other assaults, and 88,950 incidents of breaking and entry. The binary-coded variables provide information on whether the respondent was alone during the interview, others who were present, whether the interview was by telephone, whether the respondent refused a telephone interview, the number of persons who lived in the household, whether the respondent owned her home, whether the land use was urban, whether the household the respondent was living in was the same household from the last interview, whether the respondent had moved more than three times in the last five years, and whether an assault, domestic violence incident, rape, breaking and entry, or no crime was reported. Demographic information includes the respondent's education, income, employment during the last six months, marital status at the time of the interview, and whether the respondent was white (or non-white) or Hispanic (or non-Hispanic). Variables coded the same as the NCVS variables include age, respondent's relationship to the offender, type of crime, year and quarter of interview, NCVS control number, and person weight.

This dataset contains the tweet ids of 651,270 tweets, including tweets between April 1, 2022 and June 30, 2022. This collection is a subset of the Schlesinger Library #metoo Digital Media Collection.These tweets were collected weekly from the Twitter API through Social Feed Manager using the POST statuses/filter method of the Twitter Stream API.Please note that there will be no updates to this dataset.The following list of terms includes the hashtags used to collect data for this dataset: #metoo, #timesup, #metoostem, #sciencetoo, #metoophd, #shittymediamen, #churchtoo, #ustoo, #metooMVMT, #ARmetoo, #TimesUpAR, #metooSociology, #metooSexScience, #timesupAcademia, and #metooMedicine.Be aware that previous quarters (up to the first quarter of 2020) only include one hashtag: #metoo.Per Twitter's Developer Policy, tweet ids may be publicly shared for academic purposes; tweets may not. Therefore, this dataset only contains tweet ids. In order to retrieve tweets that are still available (not deleted by users) tools like Hydrator are available.There are similar subsets related to the Schlesinger Library #metoo Digital Media Collection available by quarter, as well as a full dataset with a larger corpus of hashtags.

This dataset contains the tweet ids of 24,443,707 tweets with the hashtag #metoo. This collection is a subset of the Schlesinger Library #metoo Digital Media Collection, and contains tweets published between October 15, 2017 and March 31, 2020.Tweets between October 15, 2017 and December 10, 2018 were licensed from Twitter's Historical PowerTrack and received through GNIP. Tweets after December 10, 2018 were collected weekly from the Twitter API through Social Feed Manager using the POST statuses/filter method of the Twitter Stream API.Please note that this is VERSION 1 of the dataset. New versions with updated data will be submitted at the end of each quarter.Because of the size of the files, the list of identifiers are split in 25 files containing 1,000,000 ids each.Per Twitter’s Developer Policy, tweet ids may be publicly shared for academic purposes; tweets may not. Therefore, this dataset only contains tweet ids. In order to retrieve tweets still available (not deleted by users) tools like Hydrator are availableThere are similar subsets related to the Schlesinger Library #metoo Digital Media Collection available in this dataverse

This dataset contains the tweet ids of 1,293,260 tweets, including tweets between January 1, 2020 and March 31, 2020. This collection is a subset of the Schlesinger Library #metoo Digital Media Collection.These tweets were collected weekly from the Twitter API through Social Feed Manager using the POST statuses/filter method of the Twitter Stream API.Please note that there will be no updates to this datasetBecause of the size of the files, the list of identifiers are split in 2 files containing 1,000,000 ids each.Per Twitter’s Developer Policy, tweet ids may be publicly shared for academic purposes; tweets may not. Therefore, this dataset only contains tweet ids. In order to retrieve tweets still available (not deleted by users) tools like Hydrator are availableThere are similar subsets related to the Schlesinger Library #metoo Digital Media Collection available in this dataverse

This dataset contains the tweet ids of 1,629,821 tweets, including tweets between January 1, 2019 and March 31, 2019. This collection is a subset of the Schlesinger Library #metoo Digital Media Collection.These tweets were collected weekly from the Twitter API through Social Feed Manager using the POST statuses/filter method of the Twitter Stream API.Please note that there will be no updates to this datasetBecause of the size of the files, the list of identifiers are split in 2 files containing 1,000,000 ids each.Per Twitter’s Developer Policy, tweet ids may be publicly shared for academic purposes; tweets may not. Therefore, this dataset only contains tweet ids. In order to retrieve tweets still available (not deleted by users) tools like Hydrator are availableThere are similar subsets related to the Schlesinger Library #metoo Digital Media Collection available in this dataverse