DATING & RELATIONSHIPS

Three decades of infidelity data reveal unexpected patterns

General Social Survey data across three decades shows infidelity is a statistically common feature of long-term relationships. The data presents it as a human pattern, not an individual moral category. There is also a specific age-based phenomenon that appears consistently across millions of records. Enter your situation to see the full context. This calculator on Find The Norm uses NORC General Social Survey data to rank your relationship situation against US infidelity prevalence by age group and gender.

General Social Survey (GSS), NORC multi-decade data · Alter AL & Hershfield HE 2014, PNAS N=8 million
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What are the divorce odds?

Statistical likelihood for your couple based on key factors.

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What percentage of people cheat?

General Social Survey (GSS) data, collected by NORC across multiple decades from a representative U.S. sample, shows lifetime infidelity prevalence of approximately 20% for men and 13% for women, with broader definitions including emotional affairs pushing the combined figure toward 25%. These are self-reported figures and are generally considered underestimates, given the sensitive nature of the topic and the likelihood that some respondents do not disclose infidelity even on anonymous surveys. The true prevalence is almost certainly higher, and infidelity remains one of the strongest predictors in divorce probability models. For the full GSS data breakdown by gender, age cohort, and affair type, see our infidelity statistics analysis.

A notable recent development in the GSS data is the near-closure of the gender gap among adults under 30. In the 18 to 29 cohort, women now slightly exceed men in self-reported infidelity prevalence (11% women versus 10% men), a near-total inversion of the historical pattern. Researchers attribute this to increased female financial independence, greater economic equality, and shifting cultural scripts around female sexual autonomy, trends documented on the relationship statistics page.

SELF-REPORTED INFIDELITY RATES BY AGE AND GENDER: GENERAL SOCIAL SURVEY
Age groupMen (%)Women (%)
18 to 291111
30 to 391814
40 to 492116
50 to 592217
60 to 692112
70 and over178
Source: NORC General Social Survey, multi-year cumulative data. Self-reported lifetime prevalence of sexual infidelity in marriage.

What is the Age-9 phenomenon?

Alter AL and Hershfield HE 2014 (PNAS, N=8 million users from the Ashley Madison dataset) found that people at ages 29, 39, 49, and 59 are 18% more likely to be actively seeking affairs than at any other age. The pattern was observed in both men and women, though slightly less pronounced in women. The researchers attribute this to heightened mortality salience and meaning-seeking that accompanies the approach of a new decade, existential weight that, for some people, expresses itself as relationship disruption or exit-seeking. This is a psychological pattern measured at population scale, not a personal prediction.

What types of affairs are most common?

The Institute for Family Studies iFidelity Survey (Wang, 2020, YouGov, n=2,000 ever-married U.S. adults) found that among those who reported having an affair, men comprised 75% of sex-only affairs and 56% of combined physical-and-emotional affairs, while women comprised 56% of emotional-only affairs. The combined type is the majority experience for both genders. The popular assumption that men primarily have physical affairs and women primarily have emotional ones is directionally supported but substantially overstated.

The motivational gender differences identified by Glass and Wright 1985/1992 (Journal of Marriage and Family) are more pronounced: 75% of men cite sexual gratification as the primary motivator; 77% of women cite falling in love with the affair partner. These findings are cited here for informational completeness. They describe statistical patterns in research samples, not causal rules or universal experiences. Workplace settings and other environments that create sustained proximity with potential partners are consistently identified as opportunity-based infidelity vectors across multiple studies, as opportunity narrows the distance between motive and action regardless of baseline relationship quality.

What predicts infidelity?

Research identifies several consistently replicated predictors of infidelity. Relationship dissatisfaction is the most frequently studied: Glass and Wright 1992 found low satisfaction is a common but not universal precursor, as a substantial proportion of affair partners report being satisfied with their primary relationship. Communication breakdown is a stronger predictor than satisfaction alone, with Gottman Institute research showing that specific communication patterns (contempt, stonewalling, defensiveness, criticism) are highly predictive of relationship instability that precedes infidelity. Relationship length matters: infidelity prevalence is lower in the first few years of marriage and rises through the 30s and 40s as novelty fades and identity questions emerge. Prior infidelity is one of the strongest individual predictors: Knopp et al. 2017 found a threefold increase in likelihood across subsequent relationships. Attachment style also plays a role; individuals with anxious or avoidant attachment patterns show higher rates of infidelity than those with secure attachment, as insecure attachment creates chronic relational anxiety that can express itself as exit-seeking or validation-seeking outside the relationship. No single factor predicts infidelity with high certainty. Population-level patterns describe statistical tendencies across large samples, not individual outcomes.

How does this calculator work?

Most online "infidelity calculators" output a risk percentage derived from a weighted formula using subjective inputs such as relationship satisfaction and communication quality. This calculator takes a different approach: it uses NORC General Social Survey data, collected annually from a representative US sample since 1972, to place your situation in population context. Instead of estimating your personal likelihood of infidelity, it shows you where your age, gender, and relationship duration sit within the actual distribution of reported infidelity prevalence. This approach gives you factual context about population norms rather than a pseudoscientific personal risk score. The GSS methodology, including sample sizes and survey protocols, is documented in the data sources section below. Broader relationship data including divorce, marriage, and partnership statistics are compiled on the relationship statistics page.

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Frequently asked questions

The core GSS figures (20% men, 13% women) primarily capture sexual infidelity as defined by participants. Broader definitions that include emotional affairs, texting relationships, and non-physical intimate connections produce higher prevalence estimates, commonly cited as up to 25% overall. The definitional boundary varies by study and by individual, which is one reason infidelity prevalence data varies significantly across published sources.

No. Research on relationship outcomes following disclosed infidelity consistently finds that the majority of couples do not separate immediately following discovery. Gordon et al. 2004 (Journal of Consulting and Clinical Psychology) found that about 65% of couples remained together at least initially following disclosure. Longer-term outcomes are more mixed. The decision to remain or leave following infidelity is complex and highly individual; the data does not support either "always leave" or "always stay" as a statistically dominant outcome.

Yes. Gottman-method couples therapy and Emotionally Focused Therapy (EFT) both have documented evidence of effectiveness in couples processing infidelity. Gordon et al. 2004 found that couples who received targeted intervention showed significantly better relationship satisfaction outcomes than those who did not. The process is often described as addressing the attachment injury rather than the specific act, rebuilding trust and security rather than litigating events. Not all couples choose to pursue therapy, and neither staying nor leaving requires therapeutic intervention as a condition.

Physical infidelity involves sexual contact outside a committed relationship. Emotional infidelity involves romantic attachment, sustained intimate communication, or deep emotional dependency with someone outside the relationship, without necessarily involving physical contact. Studies find that men and women can differ in which type they find more threatening, though the finding has been contested in more recent research. More practically relevant: definitions of infidelity vary significantly between individuals in the same relationship, and mismatched definitions are a documented source of conflict separate from any actual behaviour.

GSS data shows men consistently self-report higher rates of lifetime infidelity: approximately 20% versus 13% for women across the most recent multi-decade aggregation. However, the gender gap has narrowed significantly over time. Among adults under 45, the gap is smaller than in older cohorts, with some studies finding it near parity. The difference in reported rates partly reflects social desirability bias: men in some social contexts face less stigma for disclosure, women face more. Both numbers are likely underestimates of actual prevalence. The full GSS infidelity data, including trends over time and demographic breakdowns, is compiled on the relationship statistics page.

Infidelity research distinguishes between "reactive" affairs (responses to relationship deficits) and "opportunistic" affairs (where relationship quality is not the primary driver). Glass and Wright 1992 found that a substantial proportion of people who reported affairs also reported being satisfied or very satisfied with their primary relationship. Cited motivations include novelty-seeking, desire for validation, circumstantial opportunity, and the Alter and Hershfield 2014 finding that milestone ages produce identity-seeking behaviour. Attachment style is a significant factor: individuals with anxious attachment patterns (characterised by fear of abandonment and hypervigilance about partner availability) and those with avoidant attachment patterns (characterised by discomfort with intimacy and emotional distance) both show elevated infidelity rates relative to securely attached individuals, through different pathways. Relationship dissatisfaction is a predictor of infidelity, but it is neither necessary nor sufficient.

Yes. Research by Knopp et al. 2017 (Archives of Sexual Behavior) found that people who had been unfaithful in one relationship were three times more likely to be unfaithful in a subsequent relationship. The effect held after controlling for relationship satisfaction. This suggests a partially stable individual disposition toward infidelity, likely reflecting a combination of personality traits, attitudes toward commitment, and the lowering of psychological barriers after the first instance. Prior infidelity is one of the stronger individual-level predictors in the literature.

Discovery of a partner's infidelity is consistently associated with elevated rates of anxiety, depression, and post-traumatic stress symptoms in the betrayed partner. Research using PTSD diagnostic criteria has found that a clinically significant proportion of betrayed partners meet criteria for post-traumatic stress in the immediate aftermath. The perpetrator also experiences psychological costs: guilt, shame, and relationship anxiety are documented even among those who do not disclose. Recovery trajectories vary substantially and are influenced by disclosure quality, partner response, and whether the affair has ended.

Infidelity research identifies several recurring affair types: opportunistic (situationally-driven, low emotional investment), romantic (emotional attachment without long-term intent), conflicted romantic (genuine attachment to both partners simultaneously), and exit affairs (a vehicle for leaving the primary relationship). Opportunistic and conflicted romantic types appear most frequently in survey data. Exit affairs are the minority despite featuring prominently in cultural narratives. The type of affair influences recovery prospects: romantic affairs with emotional attachment are associated with more severe relationship damage than opportunistic encounters.

It depends on how the couple has defined their relationship's boundaries. Surveys consistently find that most people classify sustained emotional online relationships, explicit video calls, and sexting with someone outside the relationship as infidelity. Dating app use, social media messaging that includes flirtation or emotional intimacy, and sustained contact with an ex through private channels are also frequently cited as boundary-violating behaviours in population surveys, particularly among younger adults who have grown up with digital social environments as a normal feature of social life. Viewing pornography is classified as infidelity by a significant minority. The cultural conversation around digital infidelity is relatively recent and population norms are still forming. What matters clinically is not the cultural average but whether a behaviour has violated the specific agreements of a particular relationship.

Non-monogamous relationships (consensual non-monogamy, or CNM) address infidelity by restructuring the agreement rather than preventing the behaviour. Research from Rubel and Bogaert 2015 (Journal of Sex Research) found no evidence that CNM relationships have higher rates of dissatisfaction or lower trust than monogamous ones, though the populations differ. CNM is not a guarantee against boundary violations: partners in CNM arrangements also report experiences of agreement breaches. The key difference is that violations in CNM involve breaking negotiated agreements rather than a universal monogamy norm.

The research on child outcomes focuses more on parental conflict and household instability than on infidelity per se. When disclosure leads to sustained conflict, disrupted parenting capacity, or separation, child wellbeing can be affected through those pathways. Infidelity that is managed without prolonged conflict or household disruption shows less direct child impact in the literature. The quality and stability of parenting following disclosure matters more to child outcomes than the infidelity event itself.

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Data sources
  • General Social Survey (GSS), NORC. Multi-decade data on sexual behaviour among U.S. adults. N=26,000+ across survey waves
  • Alter AL, Hershfield HE. 2014. "People search for meaning when they approach a new decade in chronological age." PNAS. N=8 million (Ashley Madison dataset)
  • Wang W. 2020. What counts as 'cheating' in marriage? Emotional infidelity in a national sample. Institute for Family Studies. YouGov survey, n=2,000 ever-married U.S. adults. ifstudies.org
  • Glass SP, Wright TL. 1985, 1992. Motivational gender differences in infidelity. Journal of Marriage and Family
  • This calculator provides population context, not relationship advice. It is not diagnostic of any relationship situation.
Reviewed by Find The Norm Research Team · · Methodology