Domestic abuse numbers, prevalence, types and attitudes experienced by women and men aged between 16 and 59 years and 60 to 74 years, based upon annual findings from the Crime Survey for England and Wales.

7.7% of White women reported being the victim of domestic abuse in the year to March 2020, compared with 3.6% of White men.

Indicators from a range of data sources to assess the impact of the coronavirus (COVID-19) pandemic on domestic abuse in England and Wales.

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.

This table contains figures on advice and reports received by the Veilig Thuis organisations. The data can be broken down by the role/function of the counsellor/reporter, their organisation and the probable duration of the domestic violence and/or child abuse. The figures are available per municipality. This table has been compiled on the basis of data that Veilig Thuis organisations have provided to Statistics Netherlands (CBS) in the context of the Policy Information Safe Home.

Data available from: 2019

Status of figures: The figures for the first half of 2023 are further provisional, the figures for the second half of 2023 and the whole of 2023 are provisional. The other figures are final.

Changes as of 24 April 2024: - Provisional figures for the second half of 2023 and the whole of 2023 have been added. - The provisional figures for the first half of 2023 have been replaced by further provisional figures.

When will there be new figures? The provisional figures for the first half of 2024 will be published at the end of October 2024.

Domestic abuse numbers, prevalence and types, by region and police force area, using annual data from the Crime Survey for England and Wales, police recorded crime and a number of different organisations.

This table contains figures on advice and reports received by the Veilig Thuis organisations. The data can be broken down by the role/function of the counsellor/reporter, their organisation and the probable duration of the domestic violence and/or child abuse. The figures are available per Safe Home region. This table has been compiled on the basis of data that Veilig Thuis organisations have provided to Statistics Netherlands (CBS) in the context of the Policy Information Safe Home.

Data available from: 2019

Status of figures: The figures for the first half of 2023 are further provisional, the figures for the second half of 2023 and the whole of 2023 are provisional. The other figures are final.

Changes as of 24 April 2024: - Provisional figures for the second half of 2023 and the whole of 2023 have been added. - The provisional figures for the first half of 2023 have been replaced by further provisional figures.

When will there be new figures? The provisional figures for the first half of 2024 will be published at the end of October 2024.

The National Intimate Partner and Sexual Violence Survey (NISVS) is an ongoing, nationally representative survey to assess experiences of intimate partner violence, sexual violence and stalking among adults in the United States. It measures lifetime victimization for these types of violence as well as in the previous 12 months. In 2010, a total of 18,049 interviews from the general population sample were conducted. Raw data are currently unavailable. State report tables are available in pdf format. Other key statistics are included in the summary and full reports.

Codes and data to replicate tables and figures in the paper.

Network of 43 papers and 90 citation links related to "The gender paradigm in domestic violence research and theory: Part 1—The conflict of theory and data".

An interactive Excel-based data tool for domestic abuse statistics. It allows users to explore data for their police force area in more detail and compare with other areas.

This dataset contains aggregate data on violent index victimizations at the quarter level of each year (i.e., January – March, April – June, July – September, October – December), from 2001 to the present (1991 to present for Homicides), with a focus on those related to gun violence. Index crimes are 10 crime types selected by the FBI (codes 1-4) for special focus due to their seriousness and frequency. This dataset includes only those index crimes that involve bodily harm or the threat of bodily harm and are reported to the Chicago Police Department (CPD). Each row is aggregated up to victimization type, age group, sex, race, and whether the victimization was domestic-related. Aggregating at the quarter level provides large enough blocks of incidents to protect anonymity while allowing the end user to observe inter-year and intra-year variation. Any row where there were fewer than three incidents during a given quarter has been deleted to help prevent re-identification of victims. For example, if there were three domestic criminal sexual assaults during January to March 2020, all victims associated with those incidents have been removed from this dataset. Human trafficking victimizations have been aggregated separately due to the extremely small number of victimizations.

This dataset includes a " GUNSHOT_INJURY_I " column to indicate whether the victimization involved a shooting, showing either Yes ("Y"), No ("N"), or Unknown ("UKNOWN.") For homicides, injury descriptions are available dating back to 1991, so the "shooting" column will read either "Y" or "N" to indicate whether the homicide was a fatal shooting or not. For non-fatal shootings, data is only available as of 2010. As a result, for any non-fatal shootings that occurred from 2010 to the present, the shooting column will read as “Y.” Non-fatal shooting victims will not be included in this dataset prior to 2010; they will be included in the authorized dataset, but with "UNKNOWN" in the shooting column.

The dataset is refreshed daily, but excludes the most recent complete day to allow CPD time to gather the best available information. Each time the dataset is refreshed, records can change as CPD learns more about each victimization, especially those victimizations that are most recent. The data on the Mayor's Office Violence Reduction Dashboard is updated daily with an approximately 48-hour lag. As cases are passed from the initial reporting officer to the investigating detectives, some recorded data about incidents and victimizations may change once additional information arises. Regularly updated datasets on the City's public portal may change to reflect new or corrected information.

How does this dataset classify victims?

The methodology by which this dataset classifies victims of violent crime differs by victimization type:

Homicide and non-fatal shooting victims: A victimization is considered a homicide victimization or non-fatal shooting victimization depending on its presence in CPD's homicide victims data table or its shooting victims data table. A victimization is considered a homicide only if it is present in CPD's homicide data table, while a victimization is considered a non-fatal shooting only if it is present in CPD's shooting data tables and absent from CPD's homicide data table.

To determine the IUCR code of homicide and non-fatal shooting victimizations, we defer to the incident IUCR code available in CPD's Crimes, 2001-present dataset (available on the City's open data portal). If the IUCR code in CPD's Crimes dataset is inconsistent with the homicide/non-fatal shooting categorization, we defer to CPD's Victims dataset.

For a criminal homicide, the only sensible IUCR codes are 0110 (first-degree murder) or 0130 (second-degree murder). For a non-fatal shooting, a sensible IUCR code must signify a criminal sexual assault, a robbery, or, most commonly, an aggravated battery. In rare instances, the IUCR code in CPD's Crimes and Victims dataset do not align with the homicide/non-fatal shooting categorization:

1. In instances where a homicide victimization does not correspond to an IUCR code 0110 or 0130, we set the IUCR code to "01XX" to indicate that the victimization was a homicide but we do not know whether it was a first-degree murder (IUCR code = 0110) or a second-degree murder (IUCR code = 0130).
2. When a non-fatal shooting victimization does not correspond to an IUCR code that signifies a criminal sexual assault, robbery, or aggravated battery, we enter “UNK” in the IUCR column, “YES” in the GUNSHOT_I column, and “NON-FATAL” in the PRIMARY column to indicate that the victim was non-fatally shot, but the precise IUCR code is unknown.

Other violent crime victims: For other violent crime types, we refer to the IUCR classification that exists in CPD's victim table, with only one exception:

1. When there is an incident that is associated with no victim with a matching IUCR code, we assume that this is an error. Every crime should have at least 1 victim with a matching IUCR code. In these cases, we change the IUCR code to reflect the incident IUCR code because CPD's incident table is considered to be more reliable than the victim table.

Note: All businesses identified as victims in CPD data have been removed from this dataset.

Note: The definition of “homicide” (shooting or otherwise) does not include justifiable homicide or involuntary manslaughter. This dataset also excludes any cases that CPD considers to be “unfounded” or “noncriminal.”

Note: In some instances, the police department's raw incident-level data and victim-level data that were inputs into this dataset do not align on the type of crime that occurred. In those instances, this dataset attempts to correct mismatches between incident and victim specific crime types. When it is not possible to determine which victims are associated with the most recent crime determination, the dataset will show empty cells in the respective demographic fields (age, sex, race, etc.).

Note: The initial reporting officer usually asks victims to report demographic data. If victims are unable to recall, the reporting officer will use their best judgment. “Unknown” can be reported if it is truly unknown.

This table contains figures on the transfer of completed cases by the Veilig Thuis organisations. The data can be broken down by the type of organisation to which responsibility has been transferred. Within one case, one or more data subjects may have been transferred to one or more organisations at various times. In the breakdown by type of organisation to which the transfer was made, each case only counts for a maximum of one time for each type of organisation. The figures are available per municipality. This table has been compiled on the basis of data that Veilig Thuis organisations have provided to Statistics Netherlands (CBS) in the context of the Policy Information Safe Home.

Data available from: 2019

Status of figures: The figures for the first half of 2023 are further provisional, the figures for the second half of 2023 and the whole of 2023 are provisional. The other figures are final.

Changes as of 24 April 2024: - Provisional figures for the second half of 2023 and the whole of 2023 have been added. - The provisional figures for the first half of 2023 have been replaced by further provisional figures.

When will there be new figures? The provisional figures for the first half of 2024 will be published at the end of October 2024.

Network of 44 papers and 77 citation links related to "Domestic Violence: Research and Implications for Batterer Programmes in Europe".

In 2024/25, there were approximately 815,941 domestic violence incidents recorded by the police in England and Wales, compared with the 851,062 offences reported in the previous year.

The family violence measures produced from the Family Violence Database (FVDB) are derived from administrative information recorded by agencies that are funded by DHHS to provide Women and Children’s Family Violence Services and Men’s Behaviour Change Programs. The information is input by the agencies that are providing the services, and de-identified data is extracted from the IRIS database by DHHS and provided to the Crime Statistics Agency for input into the FVDB.

Abstract

Domestic Violence Survey 2005 was designed to provide data and indicators about the types and acts of violence against women, children, unmarried females, and the elderly.

Geographic coverage

The sample is cluster, random, and systematic of two stages: First stage: Selecting cluster, random, and systematic sample of 234 enumeration areas. Second stage: Selecting random sample of households from the selected enumeration areas of the first stage; 18 households were selected from each enumeration area selected during the first stage.

Analysis unit

Household, individual

Universe

·Ever-married women aged (15-64) Years ·Children aged (5-17) Years ·Unmarried women aged (18 years and over) ·Elderly 65 years and Over

Kind of data

Sample survey data [ssd]

Sampling procedure

The number of households in the sample was 4,212 households: 2,772 in the West Bank and 1,440 in the Gaza Strip.

The sampling frame consists of a comprehensive sample selected from the Population, Housing, and Establishment Census 1997. The comprehensive sample consists of geographic areas of close size (with an average of 150 households); these are the enumeration areas used in the Census. These areas where used as PSUs at the first stage of sample selection.

The sample is cluster, random, and systematic of two stages: First stage: Selecting cluster, random, and systematic sample of 234 enumeration areas. Second stage: Selecting random sample of households from the selected enumeration areas of the first stage; 18 households were selected from each enumeration area selected during the first stage.

The selection of individuals from the household was so that one married female using the tables of Kish if more than one exist, the selection of one child aged 5-17 years using the tables of Kish, the selection of one unmarried female aged 18 to 64 years using the tables of Kish and the selection of all the elderly 65 years and over.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire of the Domestic Violence Survey consists of five main sections; they are:

Section one: Contains introductory data, quality control items, and a list of the household members including data about demographic, social, and economic characteristics such as age, sex, education, employment status, marital status, and refugee status.

Section two: Deals with ever-married women aged 15-64. This section measures types and forms of physical, psychological, and sexual violence a husband subjects his wife to and the types and forms of physical, psychological, and sexual violence a wife subjects her husband to. The section also deals with the political violence of the Israeli forces and settlers.

Section three: Deals with children aged 5-17 and measures the psychological and physical abuse a child is exposed to according to mother's perspective.

Section four: This section deals with unmarried women aged 18 and over and measures the physical and psychological violence females are exposed to by household member.

Section five: This section deals with elderly people aged 65 and over and measures the psychological and physical abuse they are exposed to by household member whom they reside or do not reside with, and the diseases and disabilities they suffer from.

Cleaning operations

Data editing took place at a number of stages through the processing including: 1. office editing and coding 2. during data entry 3. structure checking and completeness 4. structural checking of SPSS data files

Response rate

" The overall response rate for the survey was %98.5

Sampling error estimates

Detailed information on the sampling Error is available in the Survey Report.

Data appraisal

The advisor of the Domestic Violence Survey reviewed the data for the purpose of evaluating its quality and logic. Some specialist on violence also reviewed the data; they affirmed the data quality. Also, the data evaluation was done through reviewing some regional and international studies and comparison with their results. In general, the entire stages of checks proved the accuracy and high quality of the data.

Network of 45 papers and 59 citation links related to "Psychiatric morbidity and domestic violence: a survey of married women in Lahore".

Clients in shelters for victims of domestic violence, adults / 10 000 persons aged 18-64 (2015-) Tables Clients In Shelters For Victims Of Domestic Violence Adults 10 000 Persons Aged 18 64 2015TSV The indicator gives the number of clients aged 18 and over in shelters for victims of domestic violence per ten thousand inhabitants aged 18-64. The client's age is his or her age on the final day of the statistical year. Population proportions are calculated at THL based on the Population Statistics of Statistics Finland.

Associations between exposure to intimate partner violence (IPV) and termination of exclusive breastfeeding before 6 months.