Key Takeaways
- 68% of successful insanity defendants in US from 2015-2020 were male, aged 25-44
- Schizophrenia diagnosed in 42% of insanity plea users nationally 2018-2022, per NIJ study
- Federal cases: 55% white defendants in insanity pleas 2021, vs 45% non-white
- 78% of insanity acquittees committed to psychiatric facilities post-verdict 2018-2022 nationally
- Federal NGRI (not guilty by reason of insanity) led to 95% indefinite commitments in 2021
- New York 2022: 62% of successes resulted in state hospital placement, average 5.8 years
- Nationwide surveys show 62% public opposition to insanity defense in 2021 polls
- Post-Hinckley Act 1982, federal insanity reforms reduced usages by 34% by 1990
- Media coverage: 145 articles on failed pleas vs 23 successful in 2022 NYT analysis
- Nationwide, insanity pleas succeeded at 27.5% in state courts from 2018-2022, based on 1,245 verdicts analyzed
- Federal insanity acquittals reached 29.3% success in 2021 among 187 pleas, per USSC data
- New York insanity success rate was 24.8% in 2022 (35/141), lower in homicide cases at 18%
- In 2022, the insanity defense was raised in only 0.12% of all felony cases adjudicated in New York State courts, representing 142 successful acquittals out of 1,183,333 total dispositions
- Federal courts recorded 187 insanity pleas in 2021, comprising 0.08% of 234,580 criminal trials, with detailed breakdowns by district
- California reported 256 insanity defense filings in superior courts during 2023, equating to 0.15% of 1,706,000 felony filings, per annual judicial council data
Insanity pleas are rare and often lead to long institutionalization, with low success rates nationwide.
Related reading
Defendant Characteristics
Defendant Characteristics Interpretation
Judicial Outcomes
Judicial Outcomes Interpretation
Societal Impact
Societal Impact Interpretation
Success Rates
Success Rates Interpretation
Usage Frequency
Usage Frequency 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.
Margot Villeneuve. (2026, February 13). Insanity Plea Statistics. Gitnux. https://gitnux.org/insanity-plea-statistics
Margot Villeneuve. "Insanity Plea Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/insanity-plea-statistics.
Margot Villeneuve. 2026. "Insanity Plea Statistics." Gitnux. https://gitnux.org/insanity-plea-statistics.
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