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

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.

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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There are several publicly available datasets that can be used for research on women harassment. Here are a few of the most commonly used ones:

1. National Crime Victimization Survey (NCVS):

This dataset provides information on annual victimization rates, including those related to harassment and other crimes against women, in the United States. The NCVS is conducted by the Bureau of Justice Statistics and is considered one of the most reliable sources of crime data.

2. Cyber ​​Troll Tracker:

This dataset contains information about online harassment, specifically related to trolling and online abuse. It includes data about the victims, types of harassment, and online platforms where the incidents occurred.

3. Global Gender-Based Violence Database:

This database, available through the United Nations Office on Drugs and Crime (UNODC), provides comprehensive information about gender-based violence from various countries around the world. It includes data on different forms of violence, including harassment.

4. Sexual Assault Types and Reporting Data:

This compiled dataset combines various sources of information related to sexual assaults, including reporting rates, demographic information, and types of assaults. It can provide insights into the prevalence of sexual harassment cases.

It is important to note that these datasets may have specific limitations and biases, and caution should be taken when interpreting the results. Additionally, you might need to apply for access or permissions to use some of these datasets.

The purpose of this study was to better understand the problem of sexual assault among African American women in Maryland, assess their use of available resources in response to sexual assault, and explore their use of alternative sources of care. Researchers interviewed 223 female victims of sexual assault (Part 1 and Part 2) between January 2004 and July 2005 and conducted 21 focus groups (Part 3) with sexual assault resource service providers between 2003 and 2006. Criteria for inclusion in the interview component (Part 1 and Part 2) of the study included: African American or Caucasian female, aged 18 and over, resident of Maryland, and victim of sexual assault. There were four streams of recruitment for the interview portion of the study: Victims receiving services at one of 18 rape crisis centers located throughout the state of Maryland; Community outreach sessions conducted by rape crisis center community educators; Through community service providers, including those working in domestic violence centers, forensic nurse examiners (SAFE programs), probation and parole offices, reproductive health centers, county health departments, community services agencies, Historically Black Colleges and Universities, and local colleges; and Through three detention centers housing female inmates. For Part 3 (Focus Group Qualitative Data), rape crisis center representatives and other community service provider representatives received a letter informing them that a focus group was going to be conducted at the end of their study training session and asked them for their participation. Part 1 (Victim Quantitative Data) includes items in the following categories: Personal Demographics, Details of the Sexual Assault, Medical Care, Law Enforcement, Prosecution/Court Process, Sexual Assault Center Services, Other Counseling Services, and Recommendations for Improvement. Part 2 (Victim Qualitative Data) includes responses to selected questions from Part 1. The data are organized by question, not by respondent. Part 3 (Focus Group Qualitative Data) includes questions on the needs of African American women who have been sexually assaulted, whether their needs are different from those of women of other racial/ethnic backgrounds, unique barriers to reporting sexual assault to police for African American women and their treatment by the criminal justice system, unique issues concerning the use of available resources by African American women, such as post-rape medical care and counseling services, and recommendations on how the state of Maryland could improve services for African American women who are the victims of sexual assault.

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.

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)

This study used a mixed-methods approach to pursue five interrelated objectives: (1) to document the extent of case attrition and to identify the stages of the criminal justice process where attrition is most likely to occur; (2) to identify the case complexities and evidentiary factors that affect the likelihood of attrition in sexual assault cases; (3) to identify the predictors of case outcomes in sexual assault cases; (4) to provide a comprehensive analysis of the factors that lead police to unfound the charges in sexual assault cases; and (5) to identify the situations in which sexual assault cases are being cleared by exceptional means. Toward this end, three primary data sources were used: (1) quantitative data on the outcomes of sexual assaults reported to the Los Angeles Police Department (LAPD) and the Los Angeles County Sheriff's Department (LASD) from 2005 to 2009, (2) qualitative data from interviews with detectives and with deputy district attorneys with the Los Angeles District Attorney's Office who handled sexual assault cases during this time period, and (3) detailed quantitative and qualitative data from case files for a sample of cases reported to the two agencies in 2008. The complete case files for sexual assaults that were reported to the Los Angeles Police Department and the Los Angeles County Sheriff's Department in 2008 were obtained by members of the research team and very detailed information (quantitative and qualitative data) was extracted from the files on each case in Dataset 1 (Case Outcomes and Characteristics: Reports from 2008). The case file included the crime report prepared by the patrol officer who responded to the crime and took the initial report from the complainant, all follow-up reports prepared by the detective to whom the case was assigned for investigation, and the detective's reasons for unfounding the report or for clearing the case by arrest or by exceptional means. The case files also included either verbatim accounts or summaries of statements made by the complainant, by witnesses (if any), and by the suspect (if the suspect was interviewed); a description of physical evidence recovered from the alleged crime scene, and the results of the physical exam (Sexual Assault Response Team (SART) exam) of the victim (if the victim reported the crime within 72 hours of the alleged assault). Members of the research team read through each case file and recorded data in an SPSS data file. There are 650 cases and 261 variables in the data file. The variables in the data file include administrative police information and charges listed on the police report. There is also information related to the victim, the suspect, and the case. Datasets 2-5 were obtained from the district attorney's office and contain outcome data that resulted in the arrest of a suspect. The outcome data obtained from the agency was for the following sex crimes: rape, attempted rape, sexual penetration with a foreign object, oral copulation, sodomy, unlawful sex, and sexual battery. Dataset 3 (Sexual Assault Case Attrition: 2005 to 2009, Los Angeles Police Department - Adult Arrests) is a subset of Dataset 2 (Sexual Assault Case Attrition: 2005 to 2009, Los Angeles Police Department - All Cases) in that it only contains cases that resulted in the arrest of at least one adult suspect. Dataset 2 (Sexual Assault Case Attrition: 2005 to 2009, Los Angeles Police Department - All Cases) contains 10,832 cases and 29 variables. Dataset 3 (Sexual Assault Case Attrition: 2005 to 2009, Los Angeles Police Department - Adult Arrests) contains 891 cases and 45 variables. Similarly, Dataset 5 (Sexual Assault Case Attrition: 2005 to 2009, Los Angeles Sheriff's Department - Adult Arrests) is a subset of Dataset 4 (Sexual Assault Case Attrition: 2005 to 2009, Los Angeles Sheriff's Department - All Cases) in that it only contains cases that resulted in the arrest of at least one adult suspect. Dataset 4 (Sexual Assault Case Attrition: 2005 to 2009, Los Angeles Sheriff's Department - All Cases) contains 3,309 cases and 33 variables. Dataset 5 (Sexual Assault Case Attrition: 2005 to 2009, Los Angeles Sheriff's Department - Adult Arrests) contains 904 cases and 47 variables.

This study was undertaken to investigate factors facilitating and hindering a victim's decision to report a sexual assault to the police. Further objectives were to use the findings to assist in the design of effective intervention methods by sexual assault treatment centers and community education projects, and to present significant findings useful for community policing and other criminal justice initiatives. Survey data for this study were collected from female victims of nonincestuous sexual assault incidents who were at least 14 years of age and sought treatment (within one year of being assaulted) from the Sex Abuse Treatment Center (SATC) in Honolulu, Hawaii, during 1987-1992. Data were collected on two types of victims: (1) immediate treatment seekers, who sought treatment within 72 hours of an assault incident, and (2) delayed treatment seekers, who sought treatment 72 hours or longer after an assault incident. Demographic variables for the victims include age at the time of the assault, marital status, employment status, educational level, and race and ethnicity. Other variables include where the attack took place, the victim's relationship to the assailant, the number of assailants, and whether the assailant(s) used threats, force, or a weapon, or injured or drugged the victim. Additional variables cover whether the victim attempted to get away, resisted physically, yelled, and/or reported the incident to the police, how the victim learned about the Sex Abuse Treatment Center, whether the victim was a tourist, in the military, or a resident of the island, the number of days between the assault and the interview, and a self-reported trauma Sexual Assault Symptom Scale measure.

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 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.

This dataset relates to the number of women aged 18 years and over who experienced sexual violence in the previous 12 months by the relationship to all perpetrators (estimate).

Cells in this table have been randomly adjusted to avoid the release of confidential data. Discrepancies may occur between sums of the component items and totals.

The definition of 'sexual violence' includes sexual assault and/or sexual threat.
'Cohabiting partner' includes current partner and previous partner.

'Boyfriend/girlfriend/date' relationships may have different levels of commitment and involvement that does not involve living together. For example, this will include persons who have had one date only, regular dating with no sexual involvement, or a serious sexual or emotional relationship. It excludes de facto relationships. This estimate has a relative standard error of 25% to 50% and should be used with caution.

'Other known person' includes all other known persons besides cohabiting partner and boyfriend/girlfriend/date.

Components are not able to be added together to produce a total. Where a person has experienced sexual violence by more than one type of perpetrator, they are counted separately for each perpetrator type but are counted only once in the aggregated total.

Source: Australian Bureau of Statistics

The goal of the study was to develop an intervention that would be analogous to safety planning for battered women, and one that could be used by sexual assault counselors as an adjunct to psychological counseling. The project was conducted at Safe Horizon in New York City and at Harborview Medical Center in Seattle from August 2003 to May 2005. The client populations of the two programs were complementary. Safe Horizon's clients were primarily Black (36 percent) and Latina (26 percent). In contrast, a majority of Harborview clients were White (59 percent), although Harborview also had many non-White, non-Hispanic clients. Approximately half of the eligible candidates were randomly assigned to participate in a four-hour workshop on avoiding sexual assault while the others were assigned to a control condition that did not receive the training. Both groups participated in a baseline assessment battery administered in person. After completion of the assessment, those assigned to the experimental condition began the workshop. Researchers contacted women in both groups six months later for a second assessment, this time conducted over the phone. The 14 data files contain information related to alcohol consumption, tonic immobility, knowledge of sexual assault risk factors, attributions for the most recent sexual assault, self-efficacy, risky behaviors, post-traumatic stress disorder (PTSD) symptomology, and sexual victimization. The data also contain one file with demographic information. Each data file contains 84 cases. Across all parts, the data collection has 612 variables.

The primary research objective of this study was to examine the prevalence, nature, and reporting of various types of sexual assault experienced by university students in an effort to inform the development of targeted intervention strategies. In addition, the study had two service-oriented objectives: (1) to educate students about various types of sexual assault, how they can maximize their safety, and what they can do if they or someone they know has been victimized and (2) to provide students with information about the campus and community resources that are available should they need assistance or have any concerns or questions. The study involved a Web-based survey of random samples of undergraduate students at two large public universities, one located in the South (University 1) and one located in the Midwest (University 2). Researchers drew random samples of students aged 18-25 and enrolled at least three-quarters' time at each university to participate in the study. The survey was administered in the winter of 2005-2006, and a total of 5,446 undergraduate women and 1,375 undergraduate men participated for a grand total of 6,821 respondents. Sampled students were sent an initial recruitment e-mail that described the study, provided a unique study ID number, and included a hyperlink to the study Web site. During each of the following weeks, students who had not completed the survey were sent follow-up e-mails and a hard-copy letter encouraging them to participate. The survey was administered anonymously and was designed to be completed in an average of 15 minutes. Respondents were provided with a survey completion code that, when entered with their study ID number at a separate Web site, enabled them to obtain a $10 Amazon.com gift certificate. The survey was divided into six modules. The Background Information module included survey items on demographics, school classification (year of study, year of enrollment, transfer status), residential characteristics, academic performance, and school involvement. An Alcohol and Other Drug Use module generated a number of measures of alcohol and drug use, and related substance use behaviors. A Dating module included items on sexual orientation, dating, consensual sexual activity, and dating violence. The Experiences module was developed after extensive reviews of past surveys of sexual assault and generated information on physically forced sexual assault and incapacitated sexual assault. For both physically forced and incapacitated sexual assault, information was collected on completed and attempted assaults experienced before entering college and since entering college. For male respondents, a Behaviors module asking about the perpetration of the same types of sexual assault covered in the Experiences module was included. The final module of the survey covered attitudes about sexual assault and attitudes about the survey. The data file contains 747 variables.

About this Dataset

This dataset aggregates agreement with key questions across gender, education level and many other socioeconomic variables from 70 different countries. The data was collected as part of the Demographic and Health Surveys (DHS) program, which exists to advance the global understanding of health and population trends in developing countries.

How to Use this Dataset

A getting started kernel is available here. For more datasets, click here.

About the Theme

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.

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These data are part of NACJD's Fast Track Release and are distributed as they there received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except of the removal of direct identifiers. Users should refer to the accompany readme file for a brief description of the files available with this collections and consult the investigator(s) if further information is needed. The qualitative Case Study data is not available as part of this data collection at this time.The purpose of the study was to examine: (1) which entities pay for sexual assault medical forensic exams (MFEs) in state and local jurisdictions throughout the United States, and the policies and practices around determining payment; (2) what services are provided in the exam process and how exams are linked to counseling, advocacy, and other services; (3) whether exams are provided to victims regardless of their reporting or intention to report the assault to the criminal justice system; (4) how MFE kits are being stored for victims who choose not to participate in the criminal justice system process; and (5) whether Violence Against Women Act (VAWA) 2005 requirements are generally being met throughout the country.Researchers conducted national surveys to obtain state-level information from state Services Training Officers Prosecutors (STOP) administrators (SSAs), victim compensation fund administrators, and state-level sexual assault coalitions. Surveys were distributed to potential respondents in all 50 states, the District of Columbia, and United States territories that held these state-level positions. Researchers also distributed local-level surveys though an extensive listserv maintained by the National Sexual Violence Resource Center (NSVRC). Researchers also conducted case studies in 19 local jurisdictions across six states were selected for case studies.Interviewees included the victim compensation fund administrator, state STOP administrator, state coalition director (or an appointed staff member) and sometimes crime lab or other state justice agency personnel, at the state level, and;law enforcement, prosecution, victim advocacy staff, and healthcare-based exam providers at the local level. Finally, researchers concluded each local jurisdiction visit with a focus group with victims of sexual assault. Data collection efforts included: a national survey of crime victim compensation fund administrators (Compensation Data, n = 26); a national survey of Services Training Officers Prosecutors (STOP) grant program administrators (SSA Data, n = 52); a national survey of state sexual assault coalitions (Coalitions Data, n = 47); and a survey of local community-based victim service providers (Local Provider Data, n = 489).

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

BackgroundSexual violence is a major public health issue, affecting 35% of women worldwide. Major risk factors for sexual assault include inadequate indoor sanitation and the need to travel to outdoor toilet facilities. We estimated how increasing the number of toilets in an urban township (Khayelitsha, South Africa) might reduce both economic costs and the incidence and social burden of sexual assault.MethodsWe developed a mathematical model that links risk of sexual assault to the number of sanitation facilities and the time a woman must spend walking to a toilet. We defined a composite societal cost function, comprising both the burden of sexual assault and the costs of installing and maintaining public chemical toilets. By expressing total social costs as a function of the number of available toilets, we were able to identify an optimal (i.e., cost-minimizing) social investment in toilet facilities.FindingsThere are currently an estimated 5600 toilets in Khayelitsha. This results in 635 sexual assaults and US$40 million in combined social costs each year. Increasing the number of toilets to 11300 would minimize total costs ($35 million) and reduce sexual assaults to 446. Higher toilet installation and maintenance costs would be more than offset by lower sexual assault costs. Probabilistic sensitivity analysis shows that the optimal number of toilets exceeds the original allocation of toilets in the township in over 80% of the 5000 iterations of the model.InterpretationImproving access to sanitation facilities in urban settlements will simultaneously reduce the incidence of sexual assaults and overall cost to society. Since our analysis ignores the many additional health benefits of improving sanitation in resource-constrained urban areas (e.g., potential reductions in waterborne infectious diseases), the optimal number of toilets identified here should be interpreted as conservative.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. This study used secondary analysis of data from several different sources to examine the impact of increased oil development on domestic violence, dating violence, sexual assault, and stalking (DVDVSAS) in the Bakken region of Montana and North Dakota. Distributed here are the code used for the secondary analysis data; the data are not available through other public means. Please refer to the User Guide distributed with this study for a list of instructions on how to obtain all other data used in this study. This collection contains a secondary analysis of the Uniform Crime Reports (UCR). UCR data serve as periodic nationwide assessments of reported crimes not available elsewhere in the criminal justice system. Each year, participating law enforcement agencies contribute reports to the FBI either directly or through their state reporting programs. Distributed here are the codes used to create the datasets and preform the secondary analysis. Please refer to the User Guide, distributed with this study, for more information. This collection contains a secondary analysis of the National Incident Based Reporting System (NIBRS), a component part of the Uniform Crime Reporting Program (UCR) and an incident-based reporting system for crimes known to the police. For each crime incident coming to the attention of law enforcement, a variety of data were collected about the incident. These data included the nature and types of specific offenses in the incident, characteristics of the victim(s) and offender(s), types and value of property stolen and recovered, and characteristics of persons arrested in connection with a crime incident. NIBRS collects data on each single incident and arrest within 22 offense categories, made up of 46 specific crimes called Group A offenses. In addition, there are 11 Group B offense categories for which only arrest data were reported. NIBRS data on different aspects of crime incidents such as offenses, victims, offenders, arrestees, etc., can be examined as different units of analysis. Distributed here are the codes used to create the datasets and preform the secondary analysis. Please refer to the User Guide, distributed with this study, for more information. The collection includes 17 SPSS syntax files. Qualitative data collected for this study are not available as part of the data collection at this time.