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.

Context

This dataset contains Rape (with types), Stalking, Dowry Dataset 2001-21 of Bangladesh.

Project / Tasks

• Analysis and predict future rapes.
• Find rape patterns.

https://hraps.humboldt.edu/sites/default/files/styles/panopoly_image_full/public/harassment.jpg" alt="Woman Harassment">

About Rape

Rape is often described as unwanted or forced 'sex' – or 'sex' that happened without consent. But, sex can only happen when everyone consents. Rape, on the other hand, is a form of sexual violence and a serious crime. Rape happens when someone didn't want to have sex or didn't give their consent for sex to happen.

About Woman Harassment in Bangladesh

Despite lots of laws and campaign, people's perceptions on sexual harassment are still wrong in our country and a huge part of our total population is ignorant of its laws, leading to an increase in gender based violence. About 84% of women in Bangladesh are constantly being sexually harassed on the road, in vehicles, in educational institutions, at work, and even at home. In this context and the occasion of 'Sexual Harassment Awareness Month' - ACTIONISTS organized its 17th episode of the "Dialogue for Action" series on 29th April, 2021. The topic of this webinar was "Prevention of Sexual Harassment in Bangladesh: Socio-legal Perspectives". The invited speakers were respectively SK Jenefa K Jabbar, Director of Human Rights and Legal Aid Services (HRLS), Social Compliance and Safeguarding at BRAC; Taslima Yasmin, Associate Professor at Department of Law, University of Dhaka and Najmul Islam, ADC of Cyber Crime Investigation Division, CTTC, DMP. The program was hosted by Mohammad Golam Sarwar, Assistant Professor of Law, University of Dhaka and Coordinated by A.N.M. Fakhrul Amin Forhad, Founder of ACTIONISTS. Article URL

Content

• Attempt-to-Rape_2014-2021.csv
• Dowry_2001-2021.csv
• Rape_CommittedSuicideAfterBeingRaped_2007-2021.csv
• Rape_GangRape_2007-2021.csv
• Rape_KilledAfterRape_2007-2021.csv
• Rape_Total_2001-2021.csv
• Stalking_2011-2021.csv

Bangladesh related more Datasets

• 🏭 Export Processing Zones 🏤 Investment Data

Download

• kaggle API Command !kaggle datasets download -d azminetoushikwasi/woman-harassment-dataset-200121-bangladesh

Disclaimer

• The data collected are all publicly available and it's intended for educational purposes only.

Acknowledgement

• Cover image taken from internet.

Appreciate, Support, Share

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.

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 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

This Sexual Assault Among Latinas (SALAS) study was designed to examine interpersonal victimization among a national sample of Latino women, particularly focusing on help-seeking behaviors, culturally relevant factors, and psychosocial impacts. A national sample of 2,000 adult Latino women living in the United States participated in the study. An experienced survey research firm with specialization in doing surveys that ask about sensitive subjects conducted interviews between May 28, 2008 and September 3, 2008 using a Computer Assisted Telephone Interview (CATI) system. The data contain a total of 1,388 variables including demographics, victimization history, help-seeking efforts, mental health status, and religious behavior and beliefs variables.

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.

Exploration of the possible discrepancy between the fear of and the occurrence of sexual violence against women. Unsafe places in neighbourhood and municipality / agreement with notions such as: women who are raped usually have provoked it/ many women have an unconscious wish to be raped/ all men are potential rapists/ a lot of men think that a woman means yes if she says no, etc. / physically faster or weaker than average man or woman / educated with idea that no man can be trusted / mother sometimes afraid for men regarding rape / in general less afraid or more difficult getting angry than average man or woman / general moods and feelings. Determination of different types of sexual violence by examples of unwanted initiatives, psychological sexual violence, physical sexual violence and abuse of power with regard to strange men, acquainted men, authorities, partners and family / actual occurrence and emotional experience of sexual violence / estimation of occurrence and means to avoid sexual violence in different situations. Background variables: basic characteristics/ housing situation/ household characteristics/ occupation/employment/ education

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).

In the past few years it has become alarmingly clear that women with disabilities are at an extremely high risk for emotional, sexual, and physical assault. The Developmental Disabilities Institute at Wayne State University, in collaboration with the United Cerebral Palsy Association in Michigan, conducted a one-year study to investigate the prevalence and correlates of, and service system capacity related to, domestic abuse among women with physical disabilities in Michigan. The study aimed to address the following research questions: (1) What is the prevalence of domestic violence among a sample of women with physical disabilities? (2) What potential factors for domestic violence exist among women with physical disabilities? and (3) What is the capacity of existing support programs (e.g., safe houses, shelters, and service agencies) to assist women with physical disabilities? The population for this study was women over the age of 18 who had physical disabilities. Consistent with the work of other researchers, physical disabilities in this study were defined as those disabilities that result in functional impairment, such as cerebral palsy, post-polio syndrome, spina bifida, amputation, rheumatic conditions, multiple sclerosis, spinal cord injury, traumatic brain injury, visual impairment, hearing impairment, and stroke. A sample of 177 women was recruited through several mechanisms. To address the question of domestic abuse prevalence, the women participating in the study were first asked to complete a brief questionnaire addressing demographic characteristics and their experience with domestic violence (Part 1, Screening Interview Data). Fifty-six percent (100) of the 177 women interviewed indicated a positive history of abuse at their initial screening. In order to address the second research question about the correlates of abuse, this subsample of 100 women was invited and encouraged to participate in the second phase of the research, which involved a more extensive interview (Part 2, Abuse Interview Data). The interview used was based on a protocol developed by Nosek (1995) that addressed demographic characteristics, social networks, and abuse history. Variables in Parts 1 and 2 include type of disability, type of personal assistance needed, and whether the respondent was ever physically, emotionally, or sexually abused. Part 2 also contains variables on sources of monthly income, who perpetrated the abuse, the abuser's gender, how long the victim knew the abuser, whether the victim sought assistance from a domestic violence program or shelter, and a description of the worst incident of physical abuse. Demographic variables in Parts 1 and 2 include ethnicity, age, employment status, and marital status.

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

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 examines the prevalence and correlates of psychological abuse and physical abuse against women and men aged 70 or older. Self-report data from 2,185 respondents in the 2010 National Intimate Partner and Sexual Violence Survey (NISVS) were used to create weighted estimates for past-year experiences of abuse. Correlates were then examined using survey logistic regression models.

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.

This dataset contains the tweet ids of 406,906 tweets, including tweets between October 1, 2022 and December 31, 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 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.

BackgroundResearch indicates that sexual violence affects about 30% of women in the general population and between two to three times as much for autistic women.Materials and MethodsWe investigated prevalence of sexual abuse, autistic traits and a range of symptoms, using an online survey addressed to the women of the French autistic community (n = 225). We assessed victimization through an open question and through a specific questionnaire, derived from the Sexual Experiences Survey-Short Form Victimization.ResultsBoth case identification methods yielded high figures: 68.9% victimization (open question) compared to 88.4% (standardized questionnaire). Two thirds of the victims were very young when they were first assaulted: among 199 victims, 135 were aged 18 or below and 112 participants were aged 15 or below. 75% of participants included in our study reported several aggressions. Analyses indicate that primo-victimization was highly correlated to revictimization and that being young increased that risk. Young victims were also at higher risk of developing post-traumatic stress disorder. A third of the victims reported the assault. 25% of those were able to file a complaint (n = 12) and/or receive care (n = 13). For the remainder 75%, reporting did not lead to action.DiscussionThose findings indicate a very large proportion of victims of sexual assault among autistic women, consistently with previous research. The World Health Organization states unambiguously that sexual violence is systemic and that vulnerable individuals are preferably targeted by offenders. We therefore postulate that it would be erroneous to consider that victimization of autistic women is mainly due to autism. On the contrary, autism seems to be just a vulnerability factor. Some authors propose that educating potential victims to better protect themselves would help preventing abuse. We reviewed this proposition in the light of our results and found it to be impossible to apply since more than half of the victims were below or at the age of consent. Literature about sexual violence is discussed. Large-scale prevention programs proposed by World Health Organization and the Center for Disease Control aim at cultural changes in order to diminish gender inequality, that they identify as the very root of sexual violence.

This dataset contains the tweet ids of 270,541 tweets, including tweets between July 1, 2022 and September 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 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