In 2023, almost one out of three ever-partnered Turkish women had experienced domestic violence. In comparison, only 12 percent of women living in Switzerland had experienced domestic violence in their lifetime.

As of 2024, Timor-Leste had the highest prevalence of domestic violence against women in the Asia-Pacific region, with ** percent of women having experienced physical or sexual violence in a partnership before. In contrast, approximately *** percent of women in Singapore had experienced domestic violence as of 2024.

In 2024, domestic violence was still a global issue affecting women all around the world. One of the main issues with domestic violence was the acceptance and justification of it. For instance, more than ******************** still considered a husband to be justified in beating his wife if she was to neglect the children or refuse sexual relations.

San Marino Legislation Exists on Domestic Violence: 1=Yes; 0=No data was reported at 1.000 NA in 2017. This stayed constant from the previous number of 1.000 NA for 2015. San Marino Legislation Exists on Domestic Violence: 1=Yes; 0=No data is updated yearly, averaging 1.000 NA from Dec 2015 (Median) to 2017, with 2 observations. The data reached an all-time high of 1.000 NA in 2017 and a record low of 1.000 NA in 2017. San Marino Legislation Exists on Domestic Violence: 1=Yes; 0=No data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s San Marino – Table SM.World Bank: Policy and Institutions. Legislation exists on domestic violence is whether there is legislation addressing domestic violence: violence between spouses, within the family or members of the same household, or in interpersonal relationships, including intimate partner violence that is subject to criminal sanctions or provides for protection orders for domestic violence, or the legislation addresses “cruel, inhuman or degrading treatment” or “harassment” that clearly affects physical or mental health, and it is implied that such behavior is considered domestic violence.; ; World Bank: Women, Business and the Law.; ;

In 2024, gender-based violence remained a global issue. However, some populations appeared to be more at risk than others. For instance, around *** percent of women with high income aged between 30 and 34 had been subjected to physical or sexual violence in the past year. On the other hand, for women the same age but with low income, the percentage reached ****.

National IPV/SV Survey

Examining Intimate Partner and Sexual Violence in the United States

By Health [source]

About this dataset

This NISVS Intimate and Sexual Violence Survey dataset captures detailed information on intimate partner violence (IPV) and sexual violence experiences among U.S. adults aged 18 years or older. It contains statistics on the prevalence of lifetime IPV, as well as additional data on the types of intimate partner violence (psychological aggression, physical assault, sexual assault), and details more recent IPV experience; including experiencing sexual coercion or being forced to do sexual acts against one's will. Additionally, it records measures of the frequency of experiencing different forms psychological abuse; such as feeling scared by a partner's use or threat of force and feeling like one had no power over important issues in their life due to an abusive partner. Further characteristics such as respondent demographics are also included in the dataset to further explore disparities around incidence of IPV and SVP experience across various populations. With a better understanding about these trends, policy makers can take targeted action towards creating responsible legislation that addresses this pervasive problem in our society today

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How to use the dataset

This dataset provides data from the National Intimate Partner and Sexual Violence Survey (NISVS), which collects information about intimate partner violence (IPV) and sexual violence (SV). The survey was conducted by the Centers for Disease Control and Prevention from 2010-2012. This dataset includes key statistics from the surveys, with an emphasis on IPV, SV, and other types of intimate partner violence.

To get started with this dataset, take a look at the variables included in it. There are several types of variables – demographic characteristics like age; report tables that include numbers associated with different forms of IPV or SV; summary charts that show percentages associated with certain activities or events; and full reports detailing information on various topics related to IPV/SV.

For more detailed analysis, you can explore specific characteristics in different subsets of this data. For example, you might look at patterns by gender, race/ethnicity or geography. Or you could compare the frequency of certain forms of abuse over time across different groups who participated in the survey. You could also use visualizations like line graphs or scatter plots to reveal patterns between variables that were not immediately obvious when looking at only raw numbers or percentages in tables.

When analyzing results using this dataset you’ll want to be sure to take into account any potential limitations due to sampling methods used when collecting this data as well as any issues caused by variations across states’ reporting standards depending on their understanding of specific terms included in their formulation of reporting questions for participation in this survey project. It is important to keep these potential sources for variations alive when creating research questions and hypothesis associated with your own analyses related to choosing appropriate indicators as partof developing effective measuresfor comparison purposesacross differentpartici-pants participatinginthisdataset environment .

Ultimately though we hope that this dataset serves as a helpful resource when evaluating trends surrounding IPV/SV both nationally among all states included alongwith representativelocally relevantpopu- lation groups in order to promote awareness needed around monitoring preventative measures which deter people from engaginginbehaviors leading toparticularoutcomes identified through aninterpretationofthisdataset source material available via Kaggle platform interface provided hereinby subjectexpertiseand resources available within academic literature used foranalyzingdata captured within NISVS Inti/Sexualviolence Surv collection according prescribed analytical protocols suggested here- within forthiguidebooklet offeredtosupportsuchinquiries related

Research Ideas

• Examining county-level variations of national intimate partner and sexual violence incidents over time.
• Analyzing the demographics of individuals affected by such violence to better understand marginalized identities and communities at risk.
• Investigating how intimate partner and sexual violence intersects with other risk factors, including income, location, age, gender identity, race/ethnicity etc., in order to identify potential disparities in service a...

A collection of resources on combating domestic violence, including awareness-raising campaigns, support services and trainings in the area of combating domestic violence at a national, EU and International level.

Abstract

The WORLD Policy Analysis Center (WORLD) is committed to improving the quantity and quality of globally comparative data available to policymakers, citizens, civil society, and researchers on laws and policies that work to support human rights, including economic opportunity, social and civic engagement, human health, development, well-being, and equity. This dataset is part of a series that assesses progress in laws across African countries that lay the foundation for equal opportunities in childhood and gender equality. Domestic violence has devastating consequences for women's health, economic security, and autonomy, as well as consequences for children's health and nutrition. WORLD's Protection from Domestic Violence, Africa 1990-2021 dataset was created to assess progress on laws prohibiting domestic violence through a systematic review of legislation governing domestic violence from 1990 to 2021 in 51 African countries. A public use legislative repository is available with the legislation used to code each African country. In some cases the laws made available are only the recent laws and not all the laws that relate to the coded data in the longitudinal African datasets.

Analysis unit

Laws

Kind of data

Other

Mode of data collection

Other

BackgroundViolence against women by an intimate partner (DV) is a serious public health and human rights issue. Attitudes justifying DV strongly predict its perpetration and victimisation. This paper presents gendered ecological analyses of the societal acceptance of DV in 49 low- and middle-income countries (LMICs) across geographical regions.Methods and findingsWe utilised data from 49 Demographic and Health Surveys conducted between 2005 and 2017, United Nations Statistics and topic-specific meta-databases. DV acceptance was measured as the justification of ‘wife-beating’ in at least one of five circumstances, and by the summative scale. Stepwise multiple linear regression examined country-level social, economic and political empowerment predictors of societal acceptance of DV amongst women, men, and the aggregate gender difference. Women were more likely than men to justify DV in Sub-Saharan Africa and South (east) Asia with societal acceptance of DV being more widespread in these regions compared with Latin America, the Caribbean, Central/West Asia and Europe. Political conflict and limited economic rights for women were associated with higher levels of DV acceptance amongst women and men. Men in more democratic countries were less likely to justify DV. Amongst women, higher national female literacy rates predicted lower levels of justification. There were higher levels of DV acceptance amongst women and a wider aggregate gender difference in countries with a larger representation of women in national parliament.ConclusionJustification of DV is widespread amongst women and men in LMICs with acceptance rates varying across countries and regions. Gender differences in the impact of contextual factors on DV acceptance supports a gendered approach to national-level interventions. Our findings highlight the need for tailored interventions targeting DV acceptance in conflict-impacted societies. The emphasis of inter(national) policies on the ‘empowerment’ domains of widely-used gender (in)equality indices need to be coupled with strategies tackling discriminatory gender norms.

Venezuela VE: Legislation Exists on Domestic Violence: 1=Yes; 0=No data was reported at 1.000 NA in 2017. This stayed constant from the previous number of 1.000 NA for 2015. Venezuela VE: Legislation Exists on Domestic Violence: 1=Yes; 0=No data is updated yearly, averaging 1.000 NA from Dec 2013 (Median) to 2017, with 3 observations. The data reached an all-time high of 1.000 NA in 2017 and a record low of 1.000 NA in 2017. Venezuela VE: Legislation Exists on Domestic Violence: 1=Yes; 0=No data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Venezuela – Table VE.World Bank.WDI: Policy and Institutions. Legislation exists on domestic violence is whether there is legislation addressing domestic violence: violence between spouses, within the family or members of the same household, or in interpersonal relationships, including intimate partner violence that is subject to criminal sanctions or provides for protection orders for domestic violence, or the legislation addresses “cruel, inhuman or degrading treatment” or “harassment” that clearly affects physical or mental health, and it is implied that such behavior is considered domestic violence.; ; World Bank: Women, Business and the Law.; ;

This study contains a subset of the World Handbook of Political and Social Indicators II data on national attributes and domestic violence for 136 nations in the period 1955-1964. The teaching package is intended to provide data for examining current theories of domestic violence and to introduce students to a number of topics in quantitative aggregate analyses. Data are provided in five-year periods for the economic, political, and social characteristics of the nations. Economic variables provide information on the gross national product (GNP), energy consumption per capita, sectorial income inequality, land inequality, and calories intake per capita. Political variables provide information on government sanctions, political executions, deaths from political violence, armed attacks, anti-government demonstrations, riots, political strikes, and the relaxation of government restrictions. Variables on social characteristics include population density, literacy rates, and the number of physicians per one million population.

Users can access data related to international women’s health as well as data on population and families, education, work, power and decision making, violence against women, poverty, and environment. Background World’s Women Reports are prepared by the Statistics Division of the United Nations Department for Economic and Social Affairs (UNDESA). Reports are produced in five year intervals and began in 1990. A major theme of the reports is comparing women’s situation globally to that of men in a variety of fields. Health data is available related to life expectancy, cause of death, chronic disease, HIV/AIDS, prenatal care, maternal morbidity, reproductive health, contraceptive use, induced abortion, mortality of children under 5, and immunization. User functionality Users can download full text or specific chapter versions of the reports in color and black and white. A limited number of graphs are available for download directly from the website. Topics include obesity and underweight children. Data Notes The report and data tables are available for download in PDF format. The next report is scheduled to be released in 2015. The most recent report was released in 2010.

How does donor domestic ideology and partisan politics shape the lives of people in aid-dependent countries? In this paper, we study the impact of the United States Mexico City Policy, which—when in place—prohibits the disbursement of United States aid funds to foreign Non-Governmental Organizations that provide information or services related to abortion care. Since its 1984 inception, every Democratic president has rescinded it, while every Republican has reinstated it. While previous global public health studies reveal how the Mexico City Policy has actually increased unwanted pregnancies and unsafe abortion rates, we argue that these unintended consequences go further than previously understood. We argue that when women lose access to abortion care, they are more likely to lose their lives and suffer life-changing injuries due to violence by their partners. Using global data on United States aid and the health burden caused by intimate partner violence against women in up to 204 countries and territories between 1993 and 2019, we show that the burden of deaths and disability attributed to intimate partner violence increases by approximately 16 percent when the Mexico City Policy is in place.

Abstract

Violence against women (VAW), in its many forms and manifestations, and across all settings, is a violation of human rights and fundamental freedoms. Around the world, many women experience violence regardless of age, class, race and ethnicity. Most of this violence is driven by the fact that they are women, and related to gender roles in society. Violence against women is predominately perpetrated by men, and most often by intimate partners. According to most recent global estimates, 35% of women aged 15 years or older globally have experienced physical and/or sexual violence during their lifetime (Devries et al., 2013; WHO, 2013). Intimate partner violence is the leading cause of homicide in women globally (Stockl et al., 2013) and has many other major short- and long-term health consequences (WHO, 2013). The economic and social costs associated with VAW are significant, and global evidence shows that violence consistently undermines development efforts at various levels, affecting physical, human and social capital (WHO, 2005). In Cambodia, the state of research on violence against women points toward widespread experiences of violence across the country (CDHS, 2012; Fulu et al., 21013). Women of all cultures and classes are subjected to many forms of physical, psychological, sexual and economic violence. This includes, but is not limited to intimate partner violence (IPV), rape and sexual assault, sexual harassment, acid violence and trafficking (MoWA, 2008). The Royal Government of Cambodia (RGC) has made a strong commitment to addressing violence against women by introducing a number of legislative and policy reforms including domestic violence legislation and a national action plan. Cambodia has demonstrated its strong commitment to promoting gender equality and ending VAW by ratifying several core international human rights conventions. In addition, there is widespread recognition among Cambodian government leaders that having quality data on the prevalence and health and other consequences of different forms of VAW is essential to increase awareness, inform evidencebased programming and policies, including the NAPVAW, and to monitor progress in the implementations of such interventions. Between 2014-2015, to fill the identified knowledge gaps, the Royal Government of Cambodia with support from the World Health Organization (WHO) and UN Women conducted a national prevalence study using the WHO multicountry study methodology. This methodology was selected because it has been widely used and is known to produce reliable data, that can be used for cross-country comparisons, and it adheres to internationally recognized ethical and safety standards.

Specific Objectives: Among specific objectives, the following deserve special mention:

ESTIMATE THE PREVALENCE AND FREQUENCY of different forms of VAW: physical, sexual, emotional and economic violence against women by intimate partners, as well as sexual and physical violence by perpetrators other than partners (in this document also referred to as ‘nonpartners’) since the age of 15, and sexual violence before the age of 15;

DETERMINE THE ASSOCIATION of physical and/or sexual intimate partner violence with a range of health and other outcomes;

IDENTIFY FACTORS that may be associated with either reducing (protective factors) or increasing (risk factors) women’s risk of hysical and/or sexual intimate partner violence; DOCUMENT THE STRATEGIES and services that women use to cope with violence by an intimate partner.

INCREASE NATIONAL CAPACITY and collaboration among researchers and women’s organisations working on domestic violence;

INCREASE AWARENESS about and sensitivity to partner violence among researchers, policymakers and health care providers;

CONTRIBUTE TO THE DEVELOPMENT of a network of people committed to addressing

Geographic coverage

National

Analysis unit

• Households
• Individuals

Universe

All resident households in Cambodia

Kind of data

Sample survey data [ssd]

Sampling procedure

• The survey sample design was developed by the NIS in the Ministry of Planning. A multi-stage sampling strategy was used based on a sampling frame that took into consideration the 24 provinces in the country delineated into a total of 225 districts for a total of 14,172 "villages" or 28,701 enumeration areas (EAs) in the country. The sample is self-weighted at the household level.

• The results achieved on VAW 2015 sampling design is already completed and describes as follows: a.Two level of survey results will be produces as: first at National level and second sub-national (Urban and Rural) b.Survey methods of VAW 2015 were designed bases on the three- stage stratified cluster sampling. b1. First stage: selected the sample Enumeration area consisting of 200 sample EAs b2. Second stage: selected the sample households consisting of 4,000 households b3. Selected the sample Women consisting of 4,000 eligible women

Mode of data collection

Face-to-face [f2f]

Cleaning operations

The questionnaire was programmed into electronic format using CAPI software, which allowed interviewers to enter the responses to questions directly into the electronic devises that were uploaded on a daily basis. Data entry was therefore not required. The software directly checked internal consistency, range and error checking, and skip patterns of the responses at the point of entering the answers during the interview. The uploaded files were aggregated at a central level and were immediately available for data analysis.

Response rate

Eligible woman response rate: 98% Household response rate: 99.5% Household refused: 0.5%

Sampling error estimates

Sample size calculations: Z (95% Confidence Interval), the value of 1.96 P = 30%. In many countries were data are available, lifetime intimate partner sexual violence often reaches 25-30% and lifetime intimate partner physical violence is 65-70%. In a normal distribution the highest variance for a factor would be at the 50% level (resulting in needing a very large sample) and the lowest variance would be at the extremes (needing the smallest sample). We compromise at 30% which is identical to assuming 70% so the resulting sample size is large, but not unmanageable. DEFF = 2. We have used this value for all the national surveys, to date. E = 0.02291. We calculate the sample size using margin of error 2.291%.

The sample size results are as follow: Confidence Level :1.96 Margin of Error (MOE): 0.02291 Baseline levels of the indicator: 0.3 Design effect (Deff): 2 Sample size (n) - Female: 3,074

The FRA survey on violence against women is based on face-to-face interviews with 42,000 women across the EU. The survey was carried out between March and September 2012 and presents the most comprehensive survey worldwide on women’s experiences of violence. The survey asked women about their experiences of physical, sexual and psychological violence, including domestic violence, since the age of 15 and over the 12 months before the interview. Questions were also asked about incidents of stalking, sexual harassment, and the role played by new technologies in women’s experiences of abuse. In addition, the survey asked about respondents’ experiences of violence in childhood.

The dataset of the FRA violence against women survey is stored with the UK Data Service, which is a recognised international service that is widely used by governmental and non-governmental institutions that produce survey data. The dataset is available free of charge after registration with the service under a Special Licence in various formats. Please visit the page of the dataset on the UK Data Service website to find a description of the dataset and the accompanying documents.

Jordan JO: Legislation Exists on Domestic Violence: 1=Yes; 0=No data was reported at 1.000 NA in 2017. This stayed constant from the previous number of 1.000 NA for 2015. Jordan JO: Legislation Exists on Domestic Violence: 1=Yes; 0=No data is updated yearly, averaging 1.000 NA from Dec 2013 (Median) to 2017, with 3 observations. The data reached an all-time high of 1.000 NA in 2017 and a record low of 1.000 NA in 2017. Jordan JO: Legislation Exists on Domestic Violence: 1=Yes; 0=No data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Jordan – Table JO.World Bank: Policy and Institutions. Legislation exists on domestic violence is whether there is legislation addressing domestic violence: violence between spouses, within the family or members of the same household, or in interpersonal relationships, including intimate partner violence that is subject to criminal sanctions or provides for protection orders for domestic violence, or the legislation addresses “cruel, inhuman or degrading treatment” or “harassment” that clearly affects physical or mental health, and it is implied that such behavior is considered domestic violence.; ; World Bank: Women, Business and the Law.; ;

Yemen YE: Legislation Exists on Domestic Violence: 1=Yes; 0=No data was reported at 0.000 NA in 2017. This stayed constant from the previous number of 0.000 NA for 2015. Yemen YE: Legislation Exists on Domestic Violence: 1=Yes; 0=No data is updated yearly, averaging 0.000 NA from Dec 2013 (Median) to 2017, with 3 observations. Yemen YE: Legislation Exists on Domestic Violence: 1=Yes; 0=No data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Yemen – Table YE.World Bank.WDI: Policy and Institutions. Legislation exists on domestic violence is whether there is legislation addressing domestic violence: violence between spouses, within the family or members of the same household, or in interpersonal relationships, including intimate partner violence that is subject to criminal sanctions or provides for protection orders for domestic violence, or the legislation addresses “cruel, inhuman or degrading treatment” or “harassment” that clearly affects physical or mental health, and it is implied that such behavior is considered domestic violence.; ; World Bank: Women, Business and the Law.; ;

This data base was used for a study that examines the scope and characteristics of male-to-female intimate partner violence in southern rural Chiapas, Mexico, and its association with depression and anxiety symptoms, highlighting the role of partner controlling behaviors.Participants were selected by random sampling. One-hundred and twenty eight women >15 years participated. Data was obtained through an adapted version of the National Survey of the Dynamics of Household Relationships (ENDIREH) intimate partner violence scale, the Patient Health Questionnaire – 9 for depression symptoms and the Generalized Anxiety Disorder – 7 for anxiety symptoms. The study design followed the WHO “Ethic and Safety Recommendations for conducting research on Domestic Violence Against Women”. The protocol received ethical approval from the Institutional Review Board of the Harvard Medical School Office of Human Research Administration and the Chiapas Health Institute.Frequency of physical, sexual and controlling violent events was assessed as follows: never happened, happened once, happened sometimes, happened many times. These categories were provided in the survey and are contingent upon each respondent’s consideration. Severity of IPV (physical and sexual) was categorized as low, moderate or severe. These categories were created through a combination of the frequency of violent events and the severity of events: being kicked, tied-up, choked, attacked with a machete/knife and attacked with a gun where considered severe regardless of frequency; being pushed, pulled by the hair, slapped, hit, or have objects thrown at her where defined as follows: a) low severity when the event(s) occurred once, b) moderate severity when events happened sometimes, and c) high severity when events happened many times. Similarly, being coerced to have sex, or forced to do specific sexual activities while having sex were categorized as follows: a) low severity if it happened once, b) moderate severity if it happened sometimes, and c) severe if it happened many times. In the case of having been forced to have sex through physical force, it was considered a) moderate severity when it happened once, and b) severe when it happened more than once. IPV was labeled as low, moderate or severe based on the physical or sexual violence item that was labeled most severe for each woman.Fourteen control tactics were asked to measure CB: 1) not permitting her to work outside of home; 2) taking away her property, belongings or money; 3) not permitting her to visit her family; 4) not providing with money for basic household needs when he did have; 5) humiliating, shaming or insulting her; 6) falsely accusing her of being unfaithful; 7) frightening her or making her feel afraid of him; 8) locking her in; 9) spying or monitoring her; 10) threatening her with throwing her out of the house; 11) putting the children against her; 12) threatening her with taking the children away from her; 13) threatening her with abandoning her; 14) threatening her with killing her. Partner CB level was categorized as: a) high with more than four control tactics were reported (highest tercile), b) moderate with one to four control tactics were reported, and c) no control when no control tactics reported. High-control IPV (HC-IPV) and moderate-control IPV (MC-IPV) categories were created to reflect Johnson’s suggested categories of Intimate Terrorism and Situational Couple Violence, respectively. IPV was labeled as HC-IPV whenever a) control was high irrespective of the severity of physical or sexual violence, and b) control was moderate and severity of physical or sexual violence was high. IPV was labeled as MC-IPV when a) severity was low, and control was none or moderate, b) when severity was moderate and control none or moderate, and c) when physical or sexual violence was severe and no control tactics were reported.

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.This study examined services and supports provided by domestic violence programs. It had four main goals:Learn more about what domestic violence survivors want when they come to programs for supportive services, the extent to which survivors have had their service expectations met, and survivors' assessment of immediate outcomes associated with the services they receive.Learn more about how survivors' experiences, needs and immediate outcomes vary across demographic and domestic violence program characteristics.Identify multi-level factors associated with survivors' positive service experiences.Develop recommendations for domestic violence programs across the country for how they might improve their services.Data were collected during a nine month period from 1,467 survivors (Survivor Survey Data) from 90 domestic violence programs in four states: Alabama, Illinois, Massachusetts, and Washington. The states were chosen to maximize geographical, population, rural/urban and economic diversity. Programs were also selected (Program Survey Data) for participation by major national culturally-specific institutes and organizations, to help ensure diversity of the survivor and program samples. In addition, 10 focus groups were conducted with a total of 73 domestic violence survivors, with a focus on marginalized groups.

The Basque Youth Observatory is an instrument of the Basque Government that allows to have a global and permanent vision of the situation and evolution of the youth world that allows to evaluate the impact of the actions carried out in the CAPV by the different administrations in the field of youth.The Basque Youth Observatory regularly publishes more than 100 statistical indicators that can be consulted in euskadi.eus, along with other research and reports. Statistics are provided in various formats (csv, excel).