Key Takeaways
- Approximately 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 such as being injured, needing medical care, being off work or school, or fearing for their safety
- In the United States, more than 12 million women and men are victims of rape, physical violence, and/or stalking by an intimate partner each year
- Lifetime prevalence of intimate partner violence against women is 30% globally
- Women aged 18-24 are at highest risk of IPV, with 13.8% prevalence
- Black women experience IPV at 43.7% lifetime rate compared to 34.4% for white women
- 55% of LGBTQ+ individuals report experiencing IPV
- 70% of men who abuse their partners also abuse their children
- 80-90% of abusers exhibit jealousy and possessiveness
- Male perpetrators account for 85% of reported IPV cases
- Physical abuse accounts for 20-30% of IPV incidents
- Emotional/psychological abuse affects 48% of women and 49% of men lifetime
- Sexual violence by intimate partner experienced by 18.3% of women
- 25% of victims suffer PTSD from IPV
- IPV victims have 1.5-2x higher depression risk
- 37% of IPV victims experience injuries requiring medical attention
Intimate partner violence remains a disturbingly common and devastating reality.
Consequences and Outcomes
Consequences and Outcomes Interpretation
Perpetrator Characteristics
Perpetrator Characteristics Interpretation
Prevalence
Prevalence Interpretation
Responses and Interventions
Responses and Interventions Interpretation
Types of Abuse
Types of Abuse Interpretation
Victim Demographics
Victim Demographics 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.
Julian Richter. (2026, February 13). Abuse In Relationships Statistics. Gitnux. https://gitnux.org/abuse-in-relationships-statistics
Julian Richter. "Abuse In Relationships Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/abuse-in-relationships-statistics.
Julian Richter. 2026. "Abuse In Relationships Statistics." Gitnux. https://gitnux.org/abuse-in-relationships-statistics.
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