Key Takeaways
- In the United States, approximately 10 million people aged 18 and older are victims of domestic violence each year
- 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 the US, 1 in 4 women and 1 in 9 men experience severe intimate partner physical violence, intimate partner contact sexual violence, and/or intimate partner stalking with impacts
- In the United States, 1 in 3 women and 1 in 4 men have experienced some form of physical violence by an intimate partner
- Women aged 18-24 are 2.3 times more likely to experience physical domestic violence than women aged 45 and older
- Black women experience IPV at a rate 35% higher than the national average
- 88% of physical abuse against women begins after they become pregnant
- Emotional abuse is used by 95% of abusers prior to other forms of abuse
- 93% of abusive men use threats to control their partners
- Domestic violence victims are 5 times more likely to need medical treatment
- 37.3% of women and 30.9% of men report IPV-related injuries needing medical care
- Abused women are 4 times more likely to use painkillers for injury relief
- Only 7% of perpetrators ever seek counseling voluntarily
- 85% of IPV victims return to abuser at least once due to lack of support
- Police receive 40 million domestic violence calls annually worldwide
Domestic violence is a devastating global epidemic affecting millions of individuals every year.
Demographic Statistics
Demographic Statistics Interpretation
Health Impacts Statistics
Health Impacts Statistics Interpretation
Intervention Statistics
Intervention Statistics Interpretation
Prevalence Statistics
Prevalence Statistics Interpretation
Types of Abuse Statistics
Types of Abuse Statistics 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.
Gabrielle Fontaine. (2026, February 13). Abusive Relationship Statistics. Gitnux. https://gitnux.org/abusive-relationship-statistics
Gabrielle Fontaine. "Abusive Relationship Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/abusive-relationship-statistics.
Gabrielle Fontaine. 2026. "Abusive Relationship Statistics." Gitnux. https://gitnux.org/abusive-relationship-statistics.
Sources & References
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- Reference 2WHOwho.intVisit source
- Reference 3CDCcdc.govVisit source
- Reference 4THEHOTLINEthehotline.orgVisit source
- Reference 5ONSons.gov.ukVisit source
- Reference 6ABSabs.gov.auVisit source
- Reference 7JUSTICEjustice.gc.caVisit source
- Reference 8FRAfra.europa.euVisit source
- Reference 9UNFPAunfpa.orgVisit source
- Reference 10SAMRCsamrc.ac.zaVisit source
- Reference 11UNWOMENunwomen.orgVisit source
- Reference 12ENDVAWNOWendvawnow.orgVisit source
- Reference 13HRWhrw.orgVisit source
- Reference 14DHSPROGRAMdhsprogram.comVisit source
- Reference 15DATAdata.unwomen.orgVisit source
- Reference 16RURALHEALTHINFOruralhealthinfo.orgVisit source
- Reference 17LOVEISRESPECTloveisrespect.orgVisit source






