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.

Domestic abuse numbers, prevalence, types and victim characteristics, based upon findings from the Crime Survey for England and Wales and police recorded crime.

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.

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 publication can be accessed here

For the year ending March 2024, there were 58,612 applications to the Domestic Violence Disclosure Scheme, also known as Clare's Law, in England and Wales. Successful applications to the scheme allow the police to disclose to someone if their partner has a history of violence or abusive behavior.

Between 2009/10 and 2023/24, 1,142 women have been killed by a partner, or an ex-partner in England and Wales, compared with 514 killed by family members, 316 killed by friends or acquaintances, and 273 killed by strangers. In every reporting year in the provided time period, partners or ex-partners were responsible for the highest number of homicides of female victims.

Domestic abuse numbers, prevalence, types and victim characteristics, based on trial domestic abuse questions on the Crime Survey for England and Wales. As of May 2025 estimates presented in these tables should now be treated as official statistics.

Recorded crime figures for CSP areas. Number of offences for the last two years, percentage change, and rates per 1,000 population for the latest year.

The data used in the MPS Crime Dashboard is available here MPS Crime Dashboard | Metropolitan Police, along with the related data definitions. Please note that datasets are updated monthly on the 6th of the month. Data runs until the end of the month prior. April 2025: The Metropolitan Police Service reviewed their recording of offences where a knife or sharp instrument has been used from April 2024 onwards. This has shown over counting for some crime types and under counting for others. These records have been corrected which has resulted in a small overall increase in crimes that have been enabled by the use or threat of a knife or sharp instrument and a small reduction in offences resulting in an injury. Data may therefore not match earlier publications. Previous years’ data has not been revised therefore corrected data is not directly comparable with previous years. The offences which are included within the Knife or sharp instrument collection are specified by the Home Office. They include robbery, homicide, assault, sexual offences and threats to kill where a knife or sharp instrument has been used to threaten or to cause injury . June 2024: The MPS monthly crime data-sets are now being extracted and compiled from the new CONNECT system within the MPS; these data-sets will have prefix M1045 added to the file name. The Metropolitan Police Service (MPS) has introduced CONNECT, a new crime recording system that consolidates several previous systems into one integrated platform. This change aims to streamline processes and enhance efficiency across the board. At the end of February 2024 the MPS started using CONNECT to record crime and investigation data. There is a difference in how Hate Crime and Domestic Abuse are recorded on CONNECT compared with the legacy crime recording system of CRIS and for this reason, Hate Crime and Domestic Abuse figures pre an post March are not comparable. BCU and Borough data in CONNECT are determined by the geographic location of the incident, rather than the borough managing the case, as was the case with legacy systems. This new approach has been retroactively applied to legacy data to provide consistent and comparable analysis. NB The datasets include breakdowns by two geography types: 'Borough' and 'Safer Neighbourhood Team (SNT)', as indicated in the 'Area Type' column. Double counting may result if you do not account for this is when using the datasets. Total Notifiable Offence (TNO) data follows the Home Office counting rules for recorded crime (https://www.gov.uk/government/publications/counting-rules-for-recorded-crime ). NB This data-set includes “Other Accepted Crime”, which are non-notifiable crimes and must be excluded if calculating a TNO total. The “Other Crime” offence data follows the Home Office counting rules but have been grouped by specific features (e.g. Knife Crime): please see dashboard for definitions. NB "Hate Crime" totals do NOT include records that are flagged solely as 'domestic abuse'. Measures include Offences, Positive Outcomes, and the Positive Outcome Rate (total number of positive outcomes divided by the total number of offences in a given period). Knife Crime Offences {date-set produced from September 2025} From September 2025, all Knife Crime data will align with the Home Office NDQIS process for checking knife crime data quality. From that point, new ‘Knife Crime’ data sets will be refreshed and uploaded on/by the 18th of the month. All data is broken down by financial year for each crime type.

Of the *** recorded homicides in England and Wales in 2023/24, *** of the victims were male, and *** victims were female. During this provided time period, the reporting year with the highest number of homicides was 2017/18, when *** were reported, while 2016/17 had the second-highest of homicides at ***. Male homicide victims outnumber female homicide victims in every reporting year. Vast majority of homicides committed by men Although more likely to be the victims of homicide, men are also responsible for far more homicides than women are, with most homicide suspects being male in England and Wales. Between 2010/11 and 2023/24, there have been ***** men indicted for homicide, compared with *** women. Additionally, a high number of female homicides were perpetrated by people, and usually men, that they knew. Between 2009/10 and 2023, ***** women were killed by their partners or ex-partners, with family members responsible for *** homicides in the same time period. Knives used in significant share of cases Sharp instruments such as knives were used in ** percent of homicides in England and Wales in 2023/24, by far the most of any method of that reporting year. Overall, there were *** knife homicides in this reporting year, compared with just ** homicides where a firearm was used. While shootings are relatively rate in the UK, there has been a substantial increase in knife crime in recent years, with offenses almost doubling between 2013/14 and 2019/20, when knife crime offenses reached a peak of ******.

In 2024/25, there were ****** child cruelty offences recorded by the police in England and Wales, an increase when compared with the previous reporting year and a peak for this type of offence.

The data used in the MPS Business Crime dashboard is available here Business crime | Metropolitan Police, along with the related data definitions.

Please note that, this dataset is updated monthly at the beginning of the month. Data runs until the end of the month prior.

***June 2024: The business crime data-sets are now being extracted and compiled from the new CONNECT system within the MPS; these data-sets will have prefix M1046 added to the file name.***

****October 2025: MPS crime classifications have been updated to align with the Home Office classifications. This has impacted the crime groupings for Burglary and Violence Against the Person.

Burglary Classification Changes

Domestic Burglary offences recorded since April 2023 are now categorised as either Residential Burglary of a Home or Residential Burglary of an Unconnected Building. This reflects changes made by the Home Office in April 2023 to better represent victim impact and police response. For Burglary offences recorded prior to April 2023 the categorisation of Domestic Burglary still applies.

Violence Against the Person Changes

The Violence Without Injury subgroup has been split, with some offences previously shown as Violence Without Injury now classified as Stalking and Harassment. Violence With Injury offences now include Death or Serious Injury Caused by Illegal Driving.****

The Metropolitan Police Service (MPS) has introduced CONNECT, a new crime recording system that consolidates several previous systems into one integrated platform. This change aims to streamline processes and enhance efficiency across the board.

With the implementation of CONNECT, there have been slight modifications in the recording of specific crime categories, such as hate crime. These adjustments may result in minor variations in crime data when compared to the pre-CONNECT era. To provide a comprehensive view of the data, the MPS has regenerated the full report to cover the entire time period.

BCU and Borough data in CONNECT are determined by the geographic location of the incident, rather than the borough managing the case, as was the case with legacy systems. This new approach has been retroactively applied to legacy data to provide consistent and comparable analysis.

Business Crime is defined by the National Business Crime Forum (NBCF), the Home Office, and the National Retail Crime Steering Group (NRCSG), chaired by the minister for crime prevention as:

“Any criminal offence that is committed against a person or property which is associated by the connection of that person or property to a business.”

The approach reflects the existing definitions for domestic abuse and hate crime. This means that the victim will determine whether or not the crime has had an impact on a business and, therefore, whether it should be identified as a business crime. This removes any ambiguity about how the crime should be recorded.

Not all business crime will be immediately identified as such by the victim or others. For example, an assault in a nightclub might not be identified as a business crime by the victim because they are more likely to perceive it as a personal attack, e.g. motivated by domestic abuse or hate related hostility.

Irrespective of the nature of the offending, if the offence took place on business premises it should additionally be recorded as a business crime. This is because criminal offending of any type on business premises may have a negative impact on the business, e.g. increased insurance premiums or, as in the case of the nightclub assault, adverse impact on whether the nightclub’s license is renewed (e.g. too many assault have taken place at that venue).

Further details can be found on the National Business Crime Centre website here:

https://nbcc.police.uk/

This data relates to the paper "Defining and Conceptualizing Technology-Facilitated Abuse: A Global Delphi Study", which is based on a study conducted by the Gender and Tech Research Lab at UCL Computer Science. The study is looking to define and conceptualise Technology-Facilitated Abuse (TFA), based on a global sample of experts.

The data used in the MPS Business Crime dashboard is available here Business crime | Metropolitan Police, along with the related data definitions. Please note that, this dataset is updated monthly at the beginning of the month. Data runs until the end of the month prior. June 2024: The business crime data-sets are now being extracted and compiled from the new CONNECT system within the MPS; these data-sets will have prefix M1046 added to the file name. The Metropolitan Police Service (MPS) has introduced CONNECT, a new crime recording system that consolidates several previous systems into one integrated platform. This change aims to streamline processes and enhance efficiency across the board. With the implementation of CONNECT, there have been slight modifications in the recording of specific crime categories, such as hate crime. These adjustments may result in minor variations in crime data when compared to the pre-CONNECT era. To provide a comprehensive view of the data, the MPS has regenerated the full report to cover the entire time period. BCU and Borough data in CONNECT are determined by the geographic location of the incident, rather than the borough managing the case, as was the case with legacy systems. This new approach has been retroactively applied to legacy data to provide consistent and comparable analysis. Business Crime is defined by the National Business Crime Forum (NBCF), the Home Office, and the National Retail Crime Steering Group (NRCSG), chaired by the minister for crime prevention as: “Any criminal offence that is committed against a person or property which is associated by the connection of that person or property to a business.” The approach reflects the existing definitions for domestic abuse and hate crime. This means that the victim will determine whether or not the crime has had an impact on a business and, therefore, whether it should be identified as a business crime. This removes any ambiguity about how the crime should be recorded. Not all business crime will be immediately identified as such by the victim or others. For example, an assault in a nightclub might not be identified as a business crime by the victim because they are more likely to perceive it as a personal attack, e.g. motivated by domestic abuse or hate related hostility. Irrespective of the nature of the offending, if the offence took place on business premises it should additionally be recorded as a business crime. This is because criminal offending of any type on business premises may have a negative impact on the business, e.g. increased insurance premiums or, as in the case of the nightclub assault, adverse impact on whether the nightclub’s license is renewed (e.g. too many assault have taken place at that venue). Further details can be found on the National Business Crime Centre website here: https://nbcc.police.uk/

This dataset was generated as part of the Evidence for Violence Prevention in the Extreme (EVE) Project case study in Samoa, locally known as E le Saua le Alofa. The project aims to co-develop and test community-led, culturally grounded interventions to prevent violence against women and girls, using participatory and decolonial approaches that center local knowledge and leadership.

The data were collected during a cross-sectional baseline survey conducted across nine rural villages in Samoa between December 2022 and January 2023. The primary aim of the survey was to measure the prevalence of intimate partner violence (IPV) and explore a range of associated factors, including sociodemographic characteristics, mental health, gender norms, and community responses to violence.

The dataset offers a valuable source of baseline evidence on IPV in the Pacific Island context, addressing a significant gap in empirical research from the region. It is designed to support future analysis on the social, cultural, and structural determinants of IPV and inform the development of prevention strategies tailored to similar settings.

This resource is intended for use by researchers, practitioners, and policymakers working in the fields of public health and gender-based violence prevention. It contributes to global efforts to localise violence prevention efforts and strengthens the evidence base for community-led approaches in low- and middle-income countries.

According to the World Health Organisation (WHO, 2013), violence against women (VAW) is a pandemic in many parts of the world with severe implications for women's physical and mental health. In the world's highest prevalence settings, eight out of ten women will experience physical or sexual violence from an intimate partner or stranger in their lifetime (WHO 2005, 2013). This is an enormous health and human rights issue, and yet we know very little about how it should be addressed. The proposed research programme draws on my specialisation in preventing violence against women for the highest prevalence settings, developed through over 30 peer-reviewed publications and increasingly large grants for projects in Afghanistan, Iraq, Rwanda, and the Amazon. High prevalence settings (where over 50% of women experience violence) present unique challenges for violence prevention: violence is widely accepted as normal by both men and women (Tran et al. 2016), those seeking help frequently experience stigma, discrimination, and further violence from family, community members, police and health professionals (Odero et al. 2014), and evidence of health system responses to VAW are largely non-existent (Garcia-Moreno et al., 2015). This research programme works in partnership with indigenous communities in Samoa and Peru to build an evidence base for how to prevent violence in high prevalence settings. Through well-established partnerships with local organisations, I will work with community members, leaders and local representatives in both settings to adapt innovative tools for measuring violence against women and establish ethical guidelines for how to research violence appropriately and sensitively. I will then create a theory of change for how to engage high-prevalence communities in reducing violence against women. These initial stages of the research culminate in the co-creation of an intervention to prevent violence against women in partnership with local communities that draws on the theory of change and ethical guidelines, followed by testing the effectiveness of the intervention using the highest standards of evaluation methodologies so that the intervention can potentially be rolled out in other high-prevalence communities around the world. This is a truly multidisciplinary project that requires an integration of skills and methods from across psychology, political science and global health epidemiology to be effective. To achieve this, I will draw on my unique background in the sociology of gender (PhD), community psychology (MSc, post-doc), and humanities (BA), and complement this with mentoring from the world's leading experts in process tracing methods from political science (Prof Jeremy Shiffman, JHU), VAW prevention interventions (Prof David Osrin, UCL), and the evaluation of community interventions in global health (Dr Andrew Copas, UCL) alongside training in epidemiology, statistics, and research leadership. Each stage of the research will include a knowledge-exchange activity between Peru and Samoa to build local research capacity and establish connections with scholars working on violence prevention in high-prevalence settings across Asia, South America and in the UK. Knowledge-exchange activities, an international advisory committee and public engagement will provide a means of linking local actors with global organisations I have worked with in the past including the Sexual Violence Research Initiative (SVRI), the South African MRC's Gender and Health Research Unit, UN Women, and the World Bank. In the short-term, the research has the potential to improve women's lives in Samoa and Peru by reducing the violence they experience. For the longer-term future, the development of new tools, theoretical frameworks and an intervention to prevent violence against women in high-prevalence settings has the potential to improve women's lives in similar settings all over the world.