Key Takeaways
- 2023 saw 78% of ransomware victims receive extortion emails post-attack, per Sophos.
- LockBit claimed responsibility for 1,200 extortion attacks in 2023.
- Conti successors extorted $200M in crypto payments 2023.
- In 2023, global ransomware victims paid $1.1 billion, per Chainalysis, with extortion demands averaging $2.7 million.
- FBI IC3 2023: US extortion losses hit $846.8 million from 88k complaints.
- Sophos 2023: Average ransomware extortion payment $1.82 million globally.
- 70% perpetrators in ransomware are organized crime from Eastern Europe.
- FBI arrested 5 LockBit affiliates in Op Cronos March 2024.
- US DOJ seized $5.8M from Hive ransomware operators 2023.
- In 2023, the FBI's Internet Crime Complaint Center (IC3) received 88,473 complaints related to extortion, marking a 19% increase from 2022.
- Globally, the United Nations Office on Drugs and Crime (UNODC) estimated over 1.2 million extortion cases in organized crime contexts in 2022.
- Europol's IOCTA 2023 report noted a 45% rise in sextortion cases across EU member states, totaling 12,500 incidents.
- In 2023, 23% of Americans aged 18-29 reported sextortion attempts.
- FBI: 12,600 US sextortion victims under 18 in 2023, 20 deaths.
- 78% of ransomware victims were mid-sized businesses (100-1000 employees).
Most ransomware victims received extortion emails, with data theft now driving rapid, billion dollar demands worldwide.
Related reading
Cyber Extortion Specific
Cyber Extortion Specific Interpretation
Financial Impact
Financial Impact Interpretation
Perpetrator and Enforcement
Perpetrator and Enforcement Interpretation
Prevalence and Incidence
Prevalence and Incidence 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. 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.
Priyanka Sharma. (2026, February 13). Extortion Statistics. Gitnux. https://gitnux.org/extortion-statistics
Priyanka Sharma. "Extortion Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/extortion-statistics.
Priyanka Sharma. 2026. "Extortion Statistics." Gitnux. https://gitnux.org/extortion-statistics.
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