Key Takeaways
- In the United States, approximately 1 in 4 women and 1 in 9 men experience severe intimate partner physical violence, including injury, during their lifetime
- Globally, nearly 1 in 3 women (30%) have experienced physical and/or sexual intimate partner violence or non-partner sexual violence in their lifetime
- In England and Wales, police recorded 1,149,507 domestic abuse-related crimes in the year ending March 2023, a 37% increase from the previous year
- Female victims aged 18-24 are 2.3 times more likely to experience stalking than those aged 65+
- 94% of domestic abuse victims in the UK are women
- LGBTQ+ individuals experience domestic violence at rates 2-4 times higher than heterosexuals
- 80-90% of abusers have high school education or higher
- Male perpetrators account for 85% of domestic violence convictions
- 62% of abusers have criminal records beyond domestic violence
- IPV causes $8.3 billion in medical costs annually in the US
- Victims lose 8 million paid workdays per year due to IPV
- 37% of women who experience violence miss 3+ workdays
- US states protective orders issued: 1.5 million annually
- Only 34% of IPV incidents lead to arrest
- 80% of domestic violence cases are not prosecuted
Domestic abuse is a devastating global epidemic impacting millions of lives.
Health and Economic Impacts
Health and Economic Impacts Interpretation
Legal and Intervention Statistics
Legal and Intervention Statistics Interpretation
Perpetrator Characteristics
Perpetrator Characteristics Interpretation
Prevalence Rates
Prevalence Rates Interpretation
Victim Characteristics
Victim Characteristics 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.
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.
Ryan Townsend. (2026, February 13). Domestic Abuse Crime Statistics. Gitnux. https://gitnux.org/domestic-abuse-crime-statistics
Ryan Townsend. "Domestic Abuse Crime Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/domestic-abuse-crime-statistics.
Ryan Townsend. 2026. "Domestic Abuse Crime Statistics." Gitnux. https://gitnux.org/domestic-abuse-crime-statistics.
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