Key Takeaways
- In the UK, police recorded 7,216 sexual communication with a child offences (grooming) in the year ending March 2022, a 40% increase from previous year.
- Globally, UNICEF estimates that 1 in 10 children experience some form of sexual violence before age 18, often preceded by grooming.
- NCMEC CyberTipline received 32 million reports of suspected child sexual exploitation in 2022, with grooming a key component in online enticement cases.
- 14.6% of US girls and 6.3% of boys report grooming experiences before age 18, per CDC.
- Girls aged 12-15 are the most targeted group for online grooming, comprising 60% of cases per Thorn.
- 70% of groomed children are female, per UK NSPCC study.
- 72% of perpetrators are male, aged 25-40, per FBI behavioral analysis.
- 40% of groomers are family members, per RAINN statistics.
- Online groomers average 35 years old, 85% male, per CEOP.
- Social media platforms host 80% of grooming initiations by strangers.
- Groomers use love-bombing in 65% of cases, per Thorn research.
- 50% of online grooming starts in gaming apps like Roblox or Fortnite.
- 93% of victims do not report grooming immediately, leading to prolonged abuse.
- Only 12% of child grooming cases result in conviction, per UK MoJ.
- US conviction rate for online enticement: 85%, but only 10% of cases prosecuted.
Grooming is a widespread global danger impacting millions of vulnerable children.
Grooming Methods and Tactics
Grooming Methods and Tactics Interpretation
Legal and Reporting Statistics
Legal and Reporting Statistics Interpretation
Perpetrator Characteristics
Perpetrator Characteristics 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.
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.
David Sutherland. (2026, February 13). Child Grooming Statistics. Gitnux. https://gitnux.org/child-grooming-statistics
David Sutherland. "Child Grooming Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/child-grooming-statistics.
David Sutherland. 2026. "Child Grooming Statistics." Gitnux. https://gitnux.org/child-grooming-statistics.
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