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

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).

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.

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.

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.

Global Crime Trends: An In-Depth Analysis of India's Crime Growth (1970-2020)

Crime rates have seen a significant and concerning rise across the globe, with India being no exception. This dataset provides a comprehensive overview of crime growth in India from 1970 to 2020, highlighting the alarming increase in both registered and unregistered cases.

The dataset meticulously details various types of violations, including sexual assaults, offering valuable insights into the nature and extent of crimes over the past five decades. By examining this data, one can better understand the broader implications these trends have had on society, both within India and globally. This dataset serves as a crucial resource for researchers, policymakers, and analysts seeking to explore the factors driving this increase in crime, its impact on communities, and potential solutions to address these issues.

Key Information about the dataset

Here's a summary of the CSV files you have:

1. Summary of Cases (Rape) 2015-2020:

   • Description: This file provides a year-wise summary of reported rape cases across various States and Union Territories in India from 2015 to 2020.
   • Columns: State/UT, Number of Cases Reported (CR) for each year from 2015 to 2020.

2. Detailed Cases (Registered) Sexual Assault 2001-2008:

   • Description: This dataset offers detailed information on registered sexual assault cases between 2001 and 2008, including both incest and non-incest rape cases. It categorizes the number of cases and victims by age group.
   • Columns: State/UT/City, Year, Number of Cases Reported, Number of Victims categorized by age group, and total figures for both incest and other rape cases.

3. Cases (Oldest) 1970:

   • Description: A historical dataset from 1970, providing details on various commodities, including stock levels, across different districts.
   • Columns: Date, Code, Commodity ID, Commodity Name, District Name, District Code, Stock, Commodity Stock, Total Stock.

4. Worldwide Cases Details:

   • Description: This dataset includes global crime data, with information on various indicators across different countries and regions, categorized by sex and age.
   • Columns: Country (ISO3 code), Region, Subregion, Indicator, Dimension, Category, Sex, Age, Year, Unit of Measurement, Value, Source.

5. Detailed Registered and Unregistered Cases (Sexual Assault) (Punished Release) 2018:

   • Description: This dataset details both registered and unregistered sexual assault cases from 2018, with a focus on custodial and non-custodial rape cases, including specific punishments.
   • Columns: State/UT, Year, various custodial and non-custodial rape categories, punishment details, and total cases.

6. State-wise Sexual Assault (Detailed) 1999-2013:

   • Description: This dataset provides a detailed state-wise account of sexual assault cases from 1999 to 2013, focusing on the relationship between the victim and the offender.
   • Columns: State/UT, Year, Number of Cases by Offender Relationship (e.g., parents, relatives, neighbors, other known persons).

These files collectively provide a comprehensive view of the crime trends, especially sexual assaults, across different periods and regions, both within India and globally.

Here's a table summarizing the years covered in each CSV file:

Source Open Government Data (OGD) Platform India | data.gov.in and crime-violent-offences | dataUNODC dataunodc.un.org

Used - ChatGPT for detailed information (CrossVerified)

About Violence Against Women & Girls

The Demographic and Health Surveys (DHS) Program exists to advance the global understanding of health and population trends in developing countries.

The UN describes violence against women and girls (VAWG) as: “One of the most widespread, persistent, and devastating human rights violations in our world today. It remains largely unreported due to the impunity, silence, stigma, and shame surrounding it.”

In general terms, it manifests itself in physical, sexual, and psychological forms, encompassing: • intimate partner violence (battering, psychological abuse, marital rape, femicide) • sexual violence and harassment (rape, forced sexual acts, unwanted sexual advances, child sexual abuse, forced marriage, street harassment, stalking, cyber-harassment), human trafficking (slavery, sexual exploitation) • female genital mutilation • child marriage

About The Data

The data was taken from a survey of men and women in African, Asian, and South American countries, exploring the attitudes and perceived justifications given for committing acts of violence against women. The data also explores different sociodemographic groups that the respondents belong to, including: Education Level, Marital status, Employment, and Age group.

It is, therefore, critical that the countries where these views are widespread, prioritize public awareness campaigns, and access to education for women and girls, to communicate that violence against women and girls is never acceptable or justifiable.

Question | Respondents were asked if they agreed with the following statements: - A husband is justified in hitting or beating his wife if she burns the food - A husband is justified in hitting or beating his wife if she argues with him - A husband is justified in hitting or beating his wife if she goes out without telling him - A husband is justified in hitting or beating his wife if she neglects the children - A husband is justified in hitting or beating his wife if she refuses to have sex with him - A husband is justified in hitting or beating his wife for at least one specific reason

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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.

The purpose of this study was to provide an in-depth look at rapes and attempted rapes in the United States. Part 1 of the collection offers data on rape victims and contains variables regarding the characteristics of the crime, such as the setting, the relationship between the victim and offender, the likelihood of injury, and the reasons why rape is not reported to police. Part 2 contains data on a control group of females who were victims of no crime or of crimes other than rape. The information contained is similar to that found in Part 1.

This dataset contains the tweet ids of 407,911 tweets, including tweets between October 1, 2021 and December 31, 2021. 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.

Crimes against women in India from 2001 to 2021

This data is collated from https://data.gov.in. It has state-wise data on the various crimes committed against women between 2001 to 2021. Some crimes that are included are Rape, Kidnapping and Abduction, Dowry Deaths etc.

There are two datasets available from the give government organization from 2001 to 2014 and 2001 to 2021. I worked on the data, converted, cleaned, merged and made it into a single dataset.

Dataset Description:

This dataset contains crime statistics in India, categorized by State/Union Territory (STATE/UT) and District (DISTRICT) on a yearly basis (YEAR). It provides insights into various criminal activities reported across different regions of India.

Columns:

1. STATE/UT: The State or Union Territory where the crime was reported.
2. DISTRICT: The district within the State/UT where the crime was reported.
3. YEAR: The year when the crime was reported.
4. MURDER: Number of reported cases of murder.
5. ATTEMPT TO MURDER: Number of reported cases of attempted murder.
6. CULPABLE HOMICIDE NOT AMOUNTING TO MURDER: Number of reported cases of culpable homicide not amounting to murder.
7. RAPE: Number of reported cases of rape.
8. CUSTODIAL RAPE: Number of reported cases of custodial rape.
9. OTHER RAPE: Number of reported cases of rape other than custodial rape.
10. KIDNAPPING & ABDUCTION: Number of reported cases of kidnapping and abduction.
11. KIDNAPPING AND ABDUCTION OF WOMEN AND GIRLS: Number of reported cases of kidnapping and abduction of women and girls.
12. KIDNAPPING AND ABDUCTION OF OTHERS: Number of reported cases of kidnapping and abduction of others.
13. DACOITY: Number of reported cases of dacoity.
14. PREPARATION AND ASSEMBLY FOR DACOITY: Number of reported cases related to preparation and assembly for dacoity.
15. ROBBERY: Number of reported cases of robbery.
16. BURGLARY: Number of reported cases of burglary.
17. THEFT: Number of reported cases of theft.
18. AUTO THEFT: Number of reported cases of auto theft.
19. OTHER THEFT: Number of reported cases of other theft.
20. RIOTS: Number of reported cases of riots.
21. CRIMINAL BREACH OF TRUST: Number of reported cases of criminal breach of trust.
22. CHEATING: Number of reported cases of cheating.
23. COUNTERFIETING: Number of reported cases of counterfeiting.
24. ARSON: Number of reported cases of arson.
25. HURT/GREVIOUS HURT: Number of reported cases of hurt/grievous hurt.
26. DOWRY DEATHS: Number of reported cases of dowry deaths.
27. ASSAULT ON WOMEN WITH INTENT TO OUTRAGE HER MODESTY: Number of reported cases of assault on women with intent to outrage her modesty.
28. INSULT TO MODESTY OF WOMEN: Number of reported cases of insult to modesty of women.
29. CRUELTY BY HUSBAND OR HIS RELATIVES: Number of reported cases of cruelty by husband or his relatives.
30. IMPORTATION OF GIRLS FROM FOREIGN COUNTRIES: Number of reported cases of importation of girls from foreign countries.
31. CAUSING DEATH BY NEGLIGENCE: Number of reported cases of causing death by negligence.
32. OTHER IPC CRIMES: Number of reported cases of other IPC crimes.
33. TOTAL IPC CRIMES: Total number of reported IPC crimes.

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 dataset contains year and age group wise data on the number of girl children and women who are victims of rape, categorised by their age group from 6 years and below to 60 years and above

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.

The SGBV & Dynamics of Conflict dataset is comprised of SGBV reports for seven conflict-affected country cases, allowing the study to meet the following criteria: 1) representation of the five different types of conflict; 2) cases in the top 20 for conflict deaths/attacks during the 2010–2020 period and, 3) inclusion of cases from different global regions (Asia, Latin America, Africa and the Middle East).Using the codebook on this page, SGBV reports are analysed across three years in each of the following countries: Central African Republic (one-sided [rebel-led] violence), Colombia (state-based violence), Myanmar (one-sided [state-led] violence), Nigeria (terrorism), Philippines (one-sided violence [terrorism]), South Sudan (fragile), and Syria (non-state-based and state-based violence).Data is collected from the content of open-source reports, both official (government and inter-governmental) and unofficial (non-governmental and media) following guidance of the Office of the ICC Prosecutor (2014: 22) and the Office of the High Commissioner for Human Rights (OHCHR 2014a) on the sources of information that may be taken into account and designated as official (government and international organization reports) versus unofficial (media and civil society or non-government organization reports) when building a profile of SGBV reports.A report is coded when at least one listed SGBV crime is mentioned. Two sources were used to collect reports: the UN document reference site UNHCR RefWorld; and Factiva, a DowJones news aggregator site. We specifically code a report in RefWorld when any of the words ‘rape raping raped rapes gender sexual’ were mentioned and in Factiva with the code work ‘sex crimes’.

Abstract Objective To evaluate the assistance provided to women victims of sexual violence and their participation in the follow-up treatment after the traumatic event, presenting a sociodemographic profile, gynecological background, and circumstances of the event, and reporting the results, acceptance, and side effects of prophylaxis for sexually transmitted infections (STIs) and pregnancy. Methods A retrospective cohort study comprising the period between 2007 and 2016. All women receiving medical care and clinical follow-up after a severe episode of sexual violence were included. Records of domestic violence, male victims, children, and adolescents who reported consensual sexual activity were excluded. The present study included descriptive statistics as frequencies and percentages. Results A total of 867medical records were reviewed and 444 cases of sexual violence were included. The age of the victims ranged from10 to 77 years old, most of them selfdeclared white, with between 4 and 8 years of education, and denying having a sexual partner. Sexual violence occurred predominantly at night, on public thoroughfare, being committed by an unknown offender. Most victims were assisted at the referral service center within 72 hours after the violence, enabling the recommended prophylaxis. There was high acceptance of antiretroviral therapy (ART), although half of the users reported side effects. Seroconversion to human immunodeficiency virus (HIV) or to hepatitis B virus (HBV) was not detected in women undergoing prophylaxis. Conclusion In the present cohort, the profile of victims of sexual violence was loweducated, young, white women. The traumatic event occurred predominantly at night, on public thoroughfare, being committed by an unknown offender. Assistance within the first 72 hours after sexual violence enables the healthcare center to provide prophylactic interventions against STIs and unwanted pregnancies.

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