Neuroticism in Women and Men: Sex and Gender Differences and Their Limits
Updated: Oct 8
Author: Ukrainian Psychological Hub · Published: September 30, 2026 · Editorial Policy
Across many large personality-science samples, women on average score higher than men on measures of neuroticism or closely corresponding Big Five negative emotionality. That is one of the more reproducible group-level patterns in the literature. It is also easy to overstate. The distributions for women and men overlap substantially, the average difference varies by instrument, facet, age, country, and sample, and a group mean cannot tell you where any particular person will score.
The classic cross-cultural evidence makes both points at once. In NEO PI-R data from 26 cultures and 23,031 participants, women reported higher Neuroticism on average, while the authors emphasized that gender differences were small relative to individual variation within genders; see Costa, Terracciano, and McCrae (2001). A later Big Five Inventory study across 55 nations also found women reporting higher neuroticism in most nations, while showing meaningful variation in the magnitude of the difference across countries; see Schmitt and colleagues (2008).
The scientifically useful question is therefore not whether women are simply “more neurotic.” It is what average difference appears on a specified personality measure, how large and stable that difference is, which facets contribute to it, how it changes across development and social contexts, and what the evidence can and cannot explain. Neuroticism is a dimensional personality construct, not a diagnosis, and sex or gender does not determine an individual personality profile.
The Short Answer
Yes, in many large samples women score higher on average than men on broad neuroticism or negative emotionality measures. The pattern appears in the NEO family, the original Big Five Inventory, Eysenck-derived neuroticism measures, and other personality instruments. It is visible in cross-cultural studies and in very large online datasets.
But “women score higher on average” is not equivalent to “women are neurotic and men are not.” Neuroticism is continuous. People of every sex and gender occur across the full range. The difference between two group averages is much smaller than the variation among individuals within those groups, which is why sex or gender is a poor substitute for actually measuring a person’s personality.
The evidence also does not establish a single cause. Genetic, developmental, social, cultural, and measurement processes can all contribute. Some findings are compatible with biological contributions; others point to developmental timing and social context. None currently justifies reducing the observed difference to hormones, chromosomes, gender roles, reporting style, or any other one-factor story.
What Neuroticism Means in This Research
In modern personality science, neuroticism is a broad Big Five dimension describing relatively enduring individual differences in the tendency to experience negative emotion, distress, threat sensitivity, worry, emotional reactivity, and related processes. The opposite pole is usually described as emotional stability. Everyone can be located somewhere on this dimension.
Neuroticism is broader than anxiety. Anxiety can be a momentary state, a symptom, a trait-anxiety construct, or part of a clinical disorder. Neuroticism is also distinct from negative affect at a particular moment, from psychiatric symptoms, from screening results, and from psychiatric diagnosis. A person can score high on neuroticism without having an anxiety disorder, depression, OCD, PTSD, a personality disorder, or any other clinical condition.
Terminology depends on the model. The BFI-2 uses the domain label Negative Emotionality rather than Neuroticism and organizes it into Anxiety, Depression, and Emotional Volatility facets. NEO inventories use a Neuroticism domain with a different facet structure. Eysenck measures represent neuroticism within a different personality model. These constructs overlap strongly, but the scales, item content, norms, and scoring systems are not interchangeable.
Sex and Gender Are Not the Same Variable
A major limitation in this literature is terminological. Older personality studies often use “sex” and “gender” as though they were interchangeable, and many datasets classify participants only as women/men or female/male without separately measuring sex-related characteristics and gender identity. A modern review has to preserve what a study actually measured rather than silently converting one variable into another.
The National Academies’ consensus report on measuring sex and gender emphasizes that sex and gender identity are conceptually distinct and should not automatically be treated as proxies for one another; see Measuring Sex, Gender Identity, and Sexual Orientation (2022). This matters for personality research because a paper titled “gender differences” may in practice have compared two self-reported categories, while another study may have used administrative sex, and a third may not describe the classification process in enough detail to separate the constructs cleanly.
For that reason, this article uses “women and men” when describing studies that use gendered participant categories and “female and male” when a study explicitly analyzes biological sex or sex-classified genetic data. When summarizing the literature as a whole, “sex and gender differences” refers to the research tradition, not to a claim that sex and gender are identical.
This also sets a boundary on what can be concluded about transgender, nonbinary, and intersex people. The classic evidence base overwhelmingly comes from binary group comparisons. It should not be generalized as though it directly measured all gender identities or all configurations of sex-related traits.
What the Large Studies Consistently Find
The NEO PI-R cross-cultural analysis by Costa, Terracciano, and McCrae remains a foundational result. Across 26 cultures, women reported higher Neuroticism, Agreeableness, Warmth, and Openness to Feelings, while men reported higher Assertiveness and Openness to Ideas. For neuroticism, the direction was broadly replicable across cultures, but the size of the difference was not constant.
A separate multinational study using the Big Five Inventory analyzed 17,637 participants from 55 nations. Schmitt and colleagues found that women reported higher neuroticism across most nations. The same project also found that nation-level differences varied with indicators of development and social conditions. That cross-national association is descriptive; it does not identify the causal mechanism that produces larger or smaller gaps.
At a more fine-grained level, Weisberg, DeYoung, and Hirsh (2011) found women scoring higher on broad Neuroticism and on both of the Big Five Aspect Scales aspects commonly labeled Withdrawal and Volatility. The study also illustrates why domain averages can conceal different patterns at lower levels of the trait hierarchy.
Taken together, the basic group-level finding is well established: many samples show a higher mean neuroticism score for women than for men. What remains scientifically active is the interpretation of that difference: its exact magnitude, developmental trajectory, cross-cultural variability, facet structure, measurement dependence, and causes.
How Large Is the Difference?
There is no single universal effect size for “the sex difference in neuroticism.” Different studies use different instruments, age ranges, countries, sampling frames, scoring systems, and analytic models. Some compare raw domain scores; others use latent factors, standardized scores, facets, or aspects. Pooling all of those results into one intuitive number would hide the very conditions that make the difference larger or smaller.
The most important interpretive fact is distributional overlap. Even when the means differ statistically, women and men still occupy broadly overlapping score distributions. Many men score above many women; many women score below many men. A statistically reliable difference can coexist with limited usefulness for individual prediction.
This is why the phrasing “women tend to score higher on average” is more accurate than “women are more neurotic.” The first describes a population-level result under specified measurement conditions. The second turns an average into an essential property of a group and obscures within-group variation.
Measurement Matters More Than It Looks
A neuroticism score only has meaning inside a particular instrument and scoring framework. The NEO PI-R assesses a Neuroticism domain through six classic facets. The BFI-2 assesses Negative Emotionality through Anxiety, Depression, and Emotional Volatility. The Eysenck tradition uses a different neuroticism scale. Short IPIP measures may sample still another subset of content. A “high” score on one scale cannot be carried over mechanically to another.
The BFI-2 itself was developed as a hierarchical Big Five measure with 15 facet traits; see Soto and John (2017). In sex/gender comparisons, this matters because an observed domain difference can reflect unequal contributions from lower-order facets. If two instruments sample worry, sadness, emotional volatility, irritability, and self-consciousness differently, they need not produce identical group contrasts.
Psychometric comparability also matters. Ock and colleagues (2020) examined gender measurement invariance in Mini-IPIP and BFI facet scales. They found metric invariance but not full scalar invariance for several Big Five scales, including Neuroticism, although the practical impact of noninvariance was generally small and varied by scale. In plain language, part of an observed mean difference can sometimes reflect how items function across groups rather than only a pure difference in the underlying trait.
Other work finds stronger invariance under particular instruments and samples. A study of the Russian BFI-2 reported strict measurement invariance across sex and age and lower Negative Emotionality scores among men than women; see Shchebetenko and colleagues (2020). The correct conclusion is instrument-specific: measurement bias should be tested rather than assumed absent or assumed to explain the entire difference.
For a personal result, use the scoring rules, reference sample, population, and norms for the exact test. See How Is Neuroticism Measured? and Neuroticism Test: What It Measures and How to Interpret Results. A raw score, percentile, or “high neuroticism” label has no universal meaning outside that context.
The Difference Is Not Identical Across Facets
Broad neuroticism is a summary dimension. Beneath it are narrower tendencies that do not have to show the same sex or gender pattern. This is one reason statements about “emotionality” can become misleading: they flatten worry, sadness, embarrassment, anger, impulsive distress, and stress vulnerability into one undifferentiated idea.
In the NEO tradition, cross-cultural findings have often shown women scoring higher on several Neuroticism facets, while Angry Hostility has been less consistently differentiated. Weisberg and colleagues likewise found women higher on both Withdrawal and Volatility in their sample, but the two aspects are meaningfully distinct. Withdrawal is more closely tied to anxiety, depression, and self-conscious affect; Volatility is more closely tied to irritability and emotional lability.
Facet patterns are also sensitive to age, ethnicity, language, and instrument content. A broad domain score can therefore be stable in direction even when the lower-order profile changes. This makes facet-level evidence more informative than attempts to explain the entire group difference with one emotion such as fear or sadness.
For the NEO-style facet structure and the limits of carrying it across measures, see Neuroticism Facets: Anxiety, Anger, Depression, Self-Consciousness, Impulsiveness, and Vulnerability.
When Do Differences Emerge?
The adult pattern does not appear fully formed in early childhood. Developmental evidence suggests that late childhood and adolescence are important periods in which average sex/gender differences in several personality traits become more visible. This is consistent with personality development being shaped by interacting biological maturation, changing social environments, cognitive development, and accumulating experiences.
A cross-cultural study of 4,850 adolescents from 23 cultures used NEO Personality Inventory-3 informant ratings rather than relying only on adolescent self-report. De Bolle and colleagues (2015) reported that the female-higher Neuroticism pattern began to take on its adult form around age 14. Because the design was cross-sectional, it shows age-group differences rather than within-person causal change.
A much larger web-based sample of 1,267,218 people ages 10 to 65 also identified late childhood and adolescence as key periods when some Big Five gender differences first became visible; see Soto and colleagues (2011). Again, cross-sectional age trends should not be confused with longitudinal personality change in the same individuals.
The newest large-scale evidence adds a cross-national layer. Yehya and colleagues (2026) analyzed more than 3 million participants ages 10 to 65 across 68 countries and found that age significantly moderated gender differences in Five-Factor Model traits, with substantial variation between countries. For neuroticism, the size of the gender gap across age depended partly on broader national context. The study is exceptionally large, but it remains cross-sectional.
These findings make a simple puberty-only explanation inadequate. Adolescence is clearly important, yet developmental trajectories continue to differ by age and context, and cross-sectional patterns cannot tell us which biological or social process caused the change.
Do the Differences Look the Same Across Cultures?
No. The direction of the average difference is often similar, but its magnitude varies. Cross-cultural replication supports the idea that the pattern is not confined to one country or one local stereotype. Cross-cultural variability simultaneously shows that the size of the difference is responsive to context, measurement, sampling, or some combination of these.
In the 26-culture NEO PI-R analysis, Costa and colleagues found broadly replicated differences but different magnitudes across cultures. In the 55-nation Big Five Inventory study, Schmitt and colleagues again found larger gaps in some more highly developed nations. In the 68-country 2026 study, Yehya and colleagues reported that age-related gender gaps varied with individualistic and self-expressive values, educational development indicators, and later average timing of marriage and childbearing for women.
These associations have generated competing interpretations. One possibility is that greater freedom or different social conditions allow dispositional differences to be expressed more strongly. Another is that changing norms alter self-concept, reporting, reference groups, opportunities, stress exposure, or the meaning of questionnaire items. Language, measurement invariance, internet access, sampling, and demographic composition can also affect national comparisons.
A country-level correlation cannot by itself decide between those explanations. It is an ecological association, not an experiment. Statements such as “gender equality makes biological differences appear” or “social roles entirely create the gap” go beyond what these comparative studies establish.
The defensible conclusion is narrower: the average women–men difference in neuroticism has appeared across many cultural settings, and its magnitude is not culturally fixed. Any account of the difference has to explain both regularity and variability.
What Might Explain the Average Difference?
Neuroticism itself has multiple developmental sources. Genetics, temperament, learning, stress exposure, relationships, social roles, and life events all contribute to population variation. For the broader causal architecture of the trait, see What Causes Neuroticism? Genetics, Temperament, Environment, and Life Experience. Sex/gender differences add another layer because the causes of individual variation are not automatically the causes of group mean differences.
Genetic Evidence
Genetic studies show substantial shared architecture between women and men alongside some sex-specific signals. A genome-wide analysis of more than 106,000 people reported comparable SNP-based heritability estimates and a very high genetic correlation between the sexes in its sex-stratified analyses; see Smith and colleagues (2016). That result argues against treating neuroticism in women and men as genetically separate traits.
A later sex-stratified GWAS using Eysenck neuroticism scores in 145,669 females and 129,229 males found no statistically significant difference in SNP heritability between the groups, while also identifying several loci with sex-specific effects; see Wendt and colleagues (2023). The study therefore supports both shared polygenic liability and possible sex-differentiated genetic signals.
Older twin research also found genetic influence on neuroticism in both men and women across adulthood, with some age- and sex-related differences in estimated heritability; see Viken and colleagues (1994). Heritability is a population statistic under particular environmental conditions. It does not say what proportion of one person’s neuroticism is genetic, and it does not establish that the average women–men difference is genetically caused.
Genetic association is therefore relevant but not decisive. A polygenic trait can show sex-specific loci without those loci explaining the full phenotypic gap, and a similar heritability estimate in two groups can coexist with different group means. Current genetics does not provide a DNA test that can explain why one woman or man has a particular neuroticism score.
Hormones, Puberty, and Neurobiology
The developmental timing of the difference makes puberty and neuroendocrine processes plausible areas of study, but plausibility is not the same as demonstrated causation. Puberty changes gonadal hormones, stress systems, sleep, social environments, peer relationships, body image, and exposure to new demands at roughly the same developmental stage. Separating these influences requires designs more informative than a simple comparison of adolescent boys and girls.
Likewise, neuroscience studies can identify group-level correlations involving brain structure, function, or stress-related systems, but those correlates do not form a biological diagnosis of neuroticism and do not establish a neural mechanism for the sex/gender difference. Brain measures, personality traits, hormones, and life experience are all interdependent and sensitive to age and context.
Claims that women score higher because of estrogen, that men score lower because of testosterone, or that one sex has a fixed “more reactive brain” currently compress a complex evidence base into a causal slogan. The available personality literature supports a multilevel developmental account rather than one established hormonal mechanism.
Socialization, Roles, Stress, and Opportunity
Social experience can also shape trait expression and self-report. Girls and boys may encounter different expectations about emotional expression, threat, caregiving, autonomy, aggression, vulnerability, and help-seeking. Women and men can also face different chronic stressors, interpersonal demands, safety concerns, work-family pressures, and social sanctions for expressing particular emotions. These processes are plausible contributors to average differences.
Yet a social explanation should be held to the same evidentiary standard as a biological one. The existence of gendered socialization does not by itself quantify how much of a neuroticism gap it causes. Cross-cultural variation is compatible with social influence, but it does not uniquely identify a social pathway. Developmental and longitudinal research is needed to distinguish exposure, selection, reciprocal effects, and reporting.
Self-Report and Response Processes
Most large personality datasets rely heavily on self-report. If groups differ in willingness to acknowledge worry, sadness, irritability, or vulnerability, observed mean differences could partly reflect response processes. Cultural norms about emotional disclosure may add another layer.
Self-report cannot be the whole story, because some developmental work has found similar patterns using informant ratings. De Bolle and colleagues used informant-rated NEO-PI-3 data across 23 cultures and still observed the emergence of the female-higher Neuroticism pattern in adolescence. At the same time, measurement-invariance research such as Ock and colleagues shows why item functioning and scale structure still deserve direct testing.
The most credible interpretation allows several processes to coexist. A measured group difference can contain genuine trait variation, developmental history, social experience, biological contributions, and measurement effects at the same time. The scientific task is to estimate their contributions rather than choosing one in advance.
The “Gender-Equality Paradox” Does Not Settle the Cause
One of the most discussed findings is that some studies report larger personality differences in more developed, individualistic, or gender-egalitarian societies. This is sometimes presented online as decisive evidence that sex differences must be innate because the gap becomes larger where traditional roles are weaker. That conclusion is too strong for the design.
The original cross-national findings from Costa and colleagues and Schmitt and colleagues are correlations among country-level characteristics and observed personality gaps. The newer Yehya et al. (2026) results likewise show moderation by national context and age, not a randomized test of biological versus social causation.
Several mechanisms could produce the same macro-level pattern: differential opportunity, changes in reference groups, self-expression norms, economic security, education, sampling, measurement equivalence, assortative environments, or interactions between dispositions and social conditions. The cross-national pattern is a phenomenon to explain, not a causal verdict.
Does the Difference Explain Sex Differences in Mental Health?
Neuroticism is a transdiagnostic risk factor: higher trait levels are associated with greater average vulnerability to several forms of psychological distress and common mental disorders. That makes it tempting to treat women’s higher average neuroticism scores as the explanation for sex/gender differences in anxiety or depression. The relationship is more complicated.
A major review by Ormel and colleagues (2013) concluded that neuroticism predicts common mental disorders, but that the association reflects multiple processes, including shared causes, overlap between trait and symptom content, and vulnerability pathways. Neuroticism is therefore a nonspecific risk marker rather than a diagnosis or a single etiologic mechanism.
Differences in disorder prevalence cannot be inferred directly from differences in a Big Five score. Clinical conditions have their own diagnostic criteria, developmental pathways, social determinants, biological contributors, and patterns of help-seeking. Current symptoms can also influence how personality questionnaires are answered, which complicates cross-sectional comparisons.
At the individual level, being a woman with a high neuroticism score does not imply a disorder, and being a man with a low score does not rule one out. Clinical assessment depends on symptoms, duration, impairment, context, and condition-specific criteria, not on sex/gender plus a personality trait.
What the Average Difference Does Not Mean
It does not mean that women are inherently irrational, unstable, weak, or incapable of emotional regulation. Neuroticism is a technical personality dimension, not a synonym for those everyday judgments.
It does not mean that men lack anxiety, sadness, vulnerability, or stress reactivity. Men can score anywhere on the neuroticism distribution and can experience severe psychiatric symptoms at any trait level.
It does not mean that a woman’s score can be explained by her sex or gender. Population averages do not identify causes in individuals. Two people with the same score can arrive there through different combinations of temperament, genetics, relationships, adversity, health, stress, and life experience.
It does not mean that the difference is fixed across history or culture. The cross-national and developmental evidence shows variability. A stable direction in many samples can coexist with meaningful changes in magnitude.
It does not mean that a score should be “corrected” for sex or gender without a validated psychometric reason. Norms and scoring should follow the specific instrument and its intended use. Researchers may analyze group differences, but an individual interpretation should not be improvised from a general stereotype.
How to Interpret a Personal Neuroticism Score
First identify the instrument. A NEO PI-R T score, a BFI-2 Negative Emotionality score, an IPIP-based score, and an Eysenck neuroticism score are different metrics. The scale name, version, scoring direction, normative reference group, and population all matter.
Second, separate rank from diagnosis. A percentile tells you how a score compares with a specified reference sample. It does not tell you whether the score is healthy, pathological, caused by trauma, genetically determined, or evidence of a psychiatric disorder.
Third, do not interpret your result by comparing yourself with a generalized “male average” or “female average” unless the instrument has validated sex-specific norms for the exact purpose you are using it for. Even then, the result describes relative standing on that scale, not a clinical condition.
Questions People Commonly Ask
Are women more neurotic than men?
On many established personality measures, women score higher on average than men on neuroticism or negative emotionality. The distributions overlap extensively, so the finding describes group means rather than a rule about individuals.
Is the difference biological or social?
Current evidence supports contributions from multiple levels and does not isolate one complete cause. Genetics is largely shared across sexes with some sex-specific signals; developmental timing, social context, stress exposure, cultural variation, and measurement processes also matter.
Does puberty create the difference?
Adolescence appears to be an important period: cross-cultural informant data suggest the adult-like female-higher Neuroticism pattern begins to emerge around age 14. That finding does not show that puberty hormones alone cause the difference, because biological and social changes occur together during adolescence.
Are the differences the same in every country?
No. Many countries show the same general direction, but the magnitude varies. Cross-national studies find moderation by development, values, education-related indicators, age, and family-demographic context. Language, sampling, and measurement equivalence can also contribute.
Do women score higher on every neuroticism facet?
No. The pattern depends on the instrument and facet. Women often score higher on anxiety- and withdrawal-related content, while anger-related facets have shown less consistent differences in some NEO-based research. Domain-level averages should not be assumed to apply identically to every component.
Can genetics explain the difference?
Genetics contributes to neuroticism in both women and men. Large GWAS show substantial shared genetic architecture and similar SNP-heritability estimates, while also identifying some sex-specific loci. Those findings do not establish that genetic differences cause the full mean difference between women and men.
Does higher neuroticism mean women have more mental illness?
No. Neuroticism is a personality risk factor, not a disorder. Group differences in a trait cannot be converted directly into diagnoses or prevalence estimates for anxiety, depression, PTSD, OCD, or other conditions.
Should personality tests use different cutoffs for women and men?
There is no universal cutoff for neuroticism in either group. Interpretation depends on the specific instrument, norming sample, scoring method, and intended use. Sex-specific norms should be used only when they are part of a validated scoring framework for that measure.
What about transgender and nonbinary people?
The classic literature provides much less direct evidence because most studies used binary categories and often did not separately measure sex and gender identity. Findings from women–men or female–male comparisons should not be treated as validated individual predictions for transgender, nonbinary, or intersex people.
Can an individual woman have lower neuroticism than most men?
Yes. Group distributions overlap. A woman can score very low, a man can score very high, and either can fall anywhere between. The average difference does not determine an individual score.
Conclusion
The research record supports a clear but bounded conclusion. Across many personality studies, women tend to score higher than men on average on neuroticism or closely corresponding negative emotionality measures. The pattern appears across multiple instruments and cultures, becomes more visible during adolescence, and varies in magnitude across age and national context.
The limits are equally important. Neuroticism is dimensional rather than diagnostic; group distributions overlap substantially; instruments are not interchangeable; sex and gender are distinct variables that older studies often blur; and current genetic, developmental, social, and neuroscience evidence does not establish one universal causal mechanism. The most accurate interpretation is a population-level difference embedded in a much larger field of individual variation.
For any person, the relevant question remains their own measured trait profile, lived context, symptoms if any, and functioning. Sex or gender is one grouping variable in personality research, not a shortcut to an individual psychological assessment.
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Neuroticism Facets: Anxiety, Anger, Depression, Self-Consciousness, Impulsiveness, and Vulnerability
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