Key Takeaways
- In 2022, there were 369,380 reported aggravated assaults nationwide, a 2.8% decrease from 2021
- Robberies totaled 202,962 incidents in 2022, down 1.6% from prior year
- Simple assault victimization rate was 11.4 per 1,000 persons age 12+ in 2021 per NCVS
- In 2022, drug abuse violations arrests totaled 1,193,631, down 7% from 2021
- Opioid overdose deaths: 81,806 in 2022, mostly fentanyl
- Marijuana possession arrests: 227,108 in 2022
- Identity theft complaints: 1,032,901 to FTC in 2022
- Elder fraud losses: $3.4 billion in 2022
- Cybercrime complaints: 880,418 to IC3 in 2022, losses $10.3 billion
- In 2022, the United States recorded 21,156 murders and nonnegligent manslaughters, a 0.3% increase from 2021, with a rate of 6.3 per 100,000 inhabitants
- Firearm homicides accounted for 79% of all homicides in the US in 2021, totaling 19,651 deaths
- The homicide rate among Black Americans was 29.0 per 100,000 in 2021, compared to 3.4 for White Americans
- In 2022, burglaries numbered 898,585 nationwide, down 0.9% from 2021
- Larceny-thefts totaled 5,245,065 incidents in 2022, a 2.1% increase
- Motor vehicle thefts rose 8.4% to 1,037,354 in 2022, highest since 2001
In 2022, violent crime fell slightly while robberies and assaults with firearms remained major concerns nationwide.
Related reading
Assault and Robbery
Assault and Robbery Interpretation
More related reading
Drug Offenses
Drug Offenses Interpretation
More related reading
Fraud and Cybercrime
Fraud and Cybercrime Interpretation
More related reading
Homicide Statistics
Homicide Statistics Interpretation
More related reading
Property Crimes
Property Crimes 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.
Henrik Dahl. (2026, February 13). American Crime Statistics. Gitnux. https://gitnux.org/american-crime-statistics
Henrik Dahl. "American Crime Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/american-crime-statistics.
Henrik Dahl. 2026. "American Crime Statistics." Gitnux. https://gitnux.org/american-crime-statistics.
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