Key Takeaways
- Domestic violence homicides account for 50% of all female homicides in the U.S.
- Victims of IPV lose 8 million workdays per year in the U.S.
- IPV causes $8.3 billion in medical costs annually in the U.S.
- 85% of domestic violence perpetrators in the U.S. are male
- Men who abuse their partners are 3 times more likely to have a criminal record
- 80% of abusers in reported cases have low self-esteem issues
- In the U.S., Black women are 35% more likely to experience domestic violence than white women
- 94% of domestic abuse victims in the U.S. are female
- Women aged 18-24 are 2.3 times more likely to experience intimate partner violence than women aged 25+
- In the United States, approximately 10 million people are victims of domestic violence each year
- Globally, 1 in 3 women (about 736 million) have experienced physical and/or sexual intimate partner violence or non-partner sexual violence in their lifetime
- In 2020, there were over 1 million domestic violence incidents reported to police in England and Wales
- 60% of perpetrators reoffend within 2 years post-arrest
- Only 34% of IPV incidents are reported to police in the U.S.
- Batterer intervention programs reduce recidivism by 33%
Domestic violence affects millions with severe health and economic harm, including major costs and long term trauma.
Related reading
Consequences and Impacts
Consequences and Impacts Interpretation
Demographics of Perpetrators
Demographics of Perpetrators Interpretation
More related reading
Demographics of Victims
Demographics of Victims Interpretation
Prevalence and Incidence
Prevalence and Incidence Interpretation
More related reading
Prevention, Response, and Policy
Prevention, Response, and Policy Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Lars Eriksen. (2026, February 13). Domestic Assault Statistics. Gitnux. https://gitnux.org/domestic-assault-statistics
Lars Eriksen. "Domestic Assault Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/domestic-assault-statistics.
Lars Eriksen. 2026. "Domestic Assault Statistics." Gitnux. https://gitnux.org/domestic-assault-statistics.
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