There's a high possibility that this kind of person...Half of the affair is divorced, separate
Aug 26, 2025
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The U.S. Institute for Family Studies' recently analyzed the U.S. General Social Survey (GSS) data and published it as a report.
Research has shown that professional status is closely related to the possibility of infidelity.
Men with high-profile jobs, such as CEOs and doctors, were more likely to cheat than men who did not. 18% of men in the reputable occupational group experienced out-of-wedlock sex, while 13% in the low-profile occupational group. On the other hand, in the case of women, those with low-profile jobs showed a higher cheating rate (21% vs 9%).
Employment status was also relevant.
Unemployed men were 9 percentage points more likely to cheat than working men (20% vs. 11%). Women did not have a significant difference in employment status, but women staying at home taking care of their children outside showed higher cheating rates than working women.
Researcher Wendy Wang explained that these differences can result from gender-specific social expectations and psychological factors.
Unemployed men who cheat tend to be recognized through external relationships.
In fact, studies show that men who depend financially on their wives are five times more likely to cheat than men who do not.
Infidelity was also closely related to divorce.
About half of the cheating adults are currently divorced or separated, according to the survey. This is about three times higher than those who do not.
In particular, women were more likely to divorce than men, which is evidence that men are more difficult to forgive sexual affairs.
Education levels and religious practices were also found to have affected infidelity.
Those who received college education had lower rates of cheating (10% vs. 15%) than those who did not, and those who regularly attend religious services had significantly lower rates of cheating (8% vs. 18%).
Wendy Wang, a researcher, said that infidelity is not just an individual's moral choice, but a complex phenomenon involving various factors such as social status, employment status, gender, education, and religion.
This article was translated by Naver AI translator.
