Key Takeaways
- U.S. cybercrime losses: $10.3 billion reported in 2023 IC3
- Global ransomware attacks: 493 million in 2023
- U.S. phishing incidents: 300,497 complaints in 2023 IC3
- U.S. drug possession arrests: 586,100 in 2022, down from prior years
- Global illicit drug use: 296 million users in 2021
- U.S. opioid overdose deaths: 81,806 in 2022
- U.S. burglary offenses: 539,936 in 2022, down 6.9% from 2021
- Global burglary rate: 227.9 per 100,000 in 2018 UNODC data
- U.S. larceny-theft: 4,472,046 incidents in 2022, down 2.2%
- In 2022, the U.S. reported 21,156 murders and non-negligent manslaughters, a 6% increase from 2021
- Globally, homicides totaled 458,000 in 2017, with a rate of 6.1 per 100,000 population
- In 2021, aggravated assaults in the U.S. numbered 911,405, up 4.5% from 2020
- U.S. embezzlement convictions: 10,000+ annually per USSC
- Global money laundering: $800 billion to $2 trillion annually
- U.S. securities fraud losses: $3.7 billion in 2022 SEC
In 2023, U.S. cyber losses surged to billions, from ransomware and phishing to identity and email scams.
Cybercrime
Cybercrime Interpretation
Drug Offenses
Drug Offenses Interpretation
Property Crime
Property Crime Interpretation
Violent Crime
Violent Crime Interpretation
White-Collar Crime
White-Collar Crime 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.
Daniel Varga. (2026, February 13). Crime Statistics. Gitnux. https://gitnux.org/crime-statistics
Daniel Varga. "Crime Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/crime-statistics.
Daniel Varga. 2026. "Crime Statistics." Gitnux. https://gitnux.org/crime-statistics.
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