Key Takeaways
- Globally, 1 in 3 women (approximately 736 million women) have experienced physical and/or sexual intimate partner violence or non-partner sexual violence in their lifetime.
- 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.
- About 1 in 4 women (24.3%) and 1 in 7 men (13.8%) have experienced severe physical violence by an intimate partner in their lifetime.
- Intimate partner violence accounts for 15% of all violent crime against women in the US.
- Women who experience intimate partner violence are 1.5 times more likely to suffer from depression.
- 42% of women who experienced violence by an intimate partner reported depressive symptoms.
- Annual economic cost of IPV against women in US is $5.8 billion.
- IPV causes women to lose 8 million paid work days per year in US.
- Lifetime economic cost per victim of nonfatal IPV is $103,767 for women.
- In the US, only 34% of IPV incidents are reported to police.
- 80% of DV homicides occur after separation when no protection order exists.
- Only 7% of DV cases result in conviction in India.
- 30% of women aged 18-24 experience IPV, highest among age groups.
- Black women experience IPV at 35% lifetime rate vs 29% white women.
- 43% of Hispanic women report IPV victimization.
Domestic violence against women is a devastating and widespread global crisis.
Demographic Variations
Demographic Variations Interpretation
Health and Psychological Impacts
Health and Psychological Impacts Interpretation
Legal and Justice Responses
Legal and Justice Responses Interpretation
Prevalence and Incidence
Prevalence and Incidence 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.
Catherine Wu. (2026, February 13). Domestic Violence Against Women Statistics. Gitnux. https://gitnux.org/domestic-violence-against-women-statistics
Catherine Wu. "Domestic Violence Against Women Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/domestic-violence-against-women-statistics.
Catherine Wu. 2026. "Domestic Violence Against Women Statistics." Gitnux. https://gitnux.org/domestic-violence-against-women-statistics.
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