Key Takeaways
- A 2022 study found infidelity peaks at ages 55-65 for women, 60-70 for men.
- GSS data 1991-2016: Cheating highest in 30s for men (20%), 60s for women (16%).
- YouGov 2021: 18-24 year olds 28% cheated vs 10% over 65.
- 2021 study: 40% of discovered infidelities lead to divorce within 2 years.
- GSS longitudinal: Cheating halves marriage happiness score by 25%.
- Journal of Family Psychology 2020: Infidelity survivors 70% experience depression.
- A 2021 GSS analysis showed men are 57% more likely than women to cheat in marriage.
- IFS 2018 report: Among college-educated, women cheat at rates equal to men (16%).
- 2017 Archives of Sexual Behavior: Men 2.2 times more likely for sexual infidelity, women for emotional.
- Journal of Marriage and Family 2019: Dissatisfaction with sex life primary motivator for 74% of cheaters.
- GSS 2021: 41% cite emotional dissatisfaction as reason for infidelity.
- Archives of Sexual Behavior 2020: Variety-seeking motivates 68% of male cheaters.
- In a 2010 study by the General Social Survey (GSS), 20% of married men reported having had sex with someone other than their spouse while married, compared to 13% of married women.
- A 2021 YouGov poll found that 21% of Americans admit to cheating on their current or most recent partner.
- According to the Institute for Family Studies (IFS) analysis of GSS data from 2010-2016, 16% of ever-married adults have engaged in infidelity during their marriage.
Infidelity commonly peaks in midlife and can double divorce risk, with many couples facing lasting mental health harm.
Consequences and Outcomes
Consequences and Outcomes Interpretation
Gender Differences
Gender Differences Interpretation
Motivational Factors
Motivational Factors Interpretation
Prevalence Statistics
Prevalence Statistics 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.
Karl Becker. (2026, February 13). Infidelity Statistics. Gitnux. https://gitnux.org/infidelity-statistics
Karl Becker. "Infidelity Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/infidelity-statistics.
Karl Becker. 2026. "Infidelity Statistics." Gitnux. https://gitnux.org/infidelity-statistics.
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