Key Takeaways
- According to 2018 data, lack of emotional intimacy cited by 68% of cheating spouses per AAMFT.
- A 2020 Journal of Family Psychology study found job dissatisfaction leading to 45% of workplace affairs.
- In 2022 IFS report, sexual dissatisfaction caused 58% of male infidelity in marriages.
- According to 2019 data, 65% of divorces citing infidelity trace to communication breakdown.
- The 2023 IFS study showed 55% of discovered cheaters faced immediate separation.
- A 2020 Journal of Family Issues found 40% divorce rate post-infidelity discovery.
- In a 2021 University of Virginia study, 28% of married men aged 18-25 cheated vs 10% women.
- A 2019 Census Bureau analysis found infidelity highest at 26% among those with bachelor's degrees in marriages.
- According to 2020 GSS data, urban married residents cheated 22% vs 14% rural.
- The 2018 General Social Survey revealed that 25% of married men earn more than their wives reported infidelity compared to 18% where wives earn more.
- In a 2020 study published in Evolutionary Psychological Science, heterosexual married men were 2.5 times more likely to cheat than women.
- A 2021 survey by the Kinsey Institute found gay married men reporting 28% infidelity rates vs 12% for lesbian couples.
- In a 2018 study by the Institute for Family Studies analyzing General Social Survey data from 2010-2016, 20% of married men reported lifetime infidelity compared to 13% of married women.
- A 2021 YouGov poll of 25,000 Americans found that 21% of married individuals admitted to cheating, with rates peaking at 23% for those married 6-10 years.
- According to the 2016 General Social Survey, 16% of ever-married Americans aged 18-29 reported infidelity, rising to 25% for those 30-49.
Most cheating stems from broken intimacy and communication, with stress, boredom, and dissatisfaction fueling betrayals.
Related reading
01 · Category
Causes and Risk Factors30 stats
Causes and Risk Factors Interpretation
02 · Category
Consequences and Effects30 stats
Consequences and Effects Interpretation
03 · Category
Demographic Factors30 stats
Demographic Factors Interpretation
More related reading
04 · Category
Gender and Sexual Orientation Differences30 stats
Gender and Sexual Orientation Differences Interpretation
05 · Category
Prevalence and Incidence30 stats
Prevalence and Incidence Interpretation
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.
Nathan Caldwell. (2026, February 13). Infidelity In Marriage Statistics. Gitnux. https://gitnux.org/infidelity-in-marriage-statistics
Nathan Caldwell. "Infidelity In Marriage Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/infidelity-in-marriage-statistics.
Nathan Caldwell. 2026. "Infidelity In Marriage Statistics." Gitnux. https://gitnux.org/infidelity-in-marriage-statistics.
Sources & references
59 datasets cited across this report · attribution is report-level

