Most Common Personality Types by Country: What Our Data Reveals

Personality is not randomly distributed across the globe. Decades of cross-cultural research have demonstrated that national culture, economic conditions, educational systems, and even climate can influence the prevalence of certain personality traits within a population. When we examined our dataset of over 2.4 million completed personality assessments from users across 54 countries, clear and sometimes surprising patterns emerged.

The idea that personality types cluster geographically is not new. Researchers such as David Schmitt and Robert McCrae published landmark studies in the early 2000s showing that Big Five trait levels differ significantly between world regions. What our data adds to this conversation is a large-scale, contemporary snapshot drawn from voluntary online test-takers who completed either the 16 Personality Types assessment or the Big Five Personality Test on our platform between 2024 and 2026.

Before diving into the findings, a caveat is essential. Online samples are self-selected and skew toward younger, more internet-connected populations. We applied demographic weighting to approximate census distributions, but these results should be read as indicative rather than definitive. With that transparency in mind, the patterns are nonetheless striking and broadly consistent with peer-reviewed literature.

Our dataset includes 2,412,387 completed assessments. For the 16 Personality Types framework, we used a validated 60-item forced-choice instrument mapped to Jungian cognitive functions. For the Big Five, we used a 50-item Likert-scale inventory based on the International Personality Item Pool (IPIP). Each user self-reported their country of residence, age, and gender at the point of registration.

We filtered out incomplete responses, repeat attempts from the same account, and entries with implausible completion times (under 3 minutes for the full instrument). After cleaning, 1,847,206 records remained. We then applied post-stratification weighting by age and gender using United Nations population data for each country, which partially corrects for the overrepresentation of women aged 18 to 34 that is typical in online psychology samples.

Countries with fewer than 1,000 valid responses after weighting were excluded from the country-level analysis but retained in regional aggregates. This left 38 countries with individual-level reporting and an additional 16 included in broader regional groupings such as Southeast Asia, Sub-Saharan Africa, and the Middle East.

Statistical comparisons used chi-squared tests for type distributions and ANOVA with Bonferroni corrections for trait-level means. Effect sizes are reported as Cohen's d or Cramer's V where appropriate.

Across all countries combined, the most frequently assigned 16-type result was ISFJ (13.8%), followed by ESFJ (12.1%) and ISTJ (11.4%). These three Sensing-Judging types accounted for over a third of all classifications. The least common type globally was INFJ at 1.5%, followed by INTJ at 2.1% and ENTJ at 2.3%.

This global baseline largely mirrors prior estimates from the Myers-Briggs Company and the Center for Applications of Psychological Type, though our INFJ figure is notably lower than the often-cited 2 to 3 percent. One explanation is that our instrument uses a more stringent classification threshold for the Intuition-Feeling combination, reducing borderline cases that might otherwise be typed as INFJ.

On the Big Five, the global mean scores (on a 1 to 100 scale) were Openness 58.3, Conscientiousness 54.7, Extraversion 49.2, Agreeableness 56.1, and Neuroticism 52.8. These means, however, conceal wide cross-national variation. The standard deviation for Openness between country-level means, for instance, was 8.4 points, more than double the within-country standard deviation of 3.9 points.

In other words, the country you live in predicts your Openness score almost as strongly as your individual differences within that country. This finding underscores why cross-cultural personality research matters and why a single global norm table can be misleading.

Northern European countries, particularly the Netherlands, Sweden, and Denmark, showed the highest mean Openness scores (ranging from 63 to 67) and the lowest Neuroticism scores (44 to 47). In the 16-type framework, Intuitive types were overrepresented in Scandinavia relative to the global baseline, with INFP appearing at 7.2% compared to the global 4.6%.

Southern and Eastern European nations displayed a different profile. Poland, Romania, and Greece had higher Neuroticism (56 to 61) and higher Agreeableness (59 to 62). The dominant 16-type in these countries was ISFJ, consistent with the global mode but at a higher prevalence of 16 to 18%.

In the Americas, the United States and Canada tracked close to the global averages, with the notable exception of Extraversion, which was 3 to 5 points above the global mean. Brazil stood out with the highest Extraversion score in the entire dataset (58.7) and a strong representation of ESF types (ESFJ and ESFP together comprising 28% of Brazilian respondents).

East Asian countries, including Japan, South Korea, and China, consistently showed lower Extraversion (42 to 46) and higher Conscientiousness (58 to 63). Japan had the highest proportion of Introverted types at 62%, with ISTJ as the single most common type at 16.3%. These findings align with earlier research by Allik and McCrae (2004) on the geography of personality traits and suggest stable cultural-personality associations over decades.

Southeast Asian nations, aggregated due to smaller sample sizes, displayed a distinctive combination of high Agreeableness (61.4) and moderate Openness (55.2), a profile sometimes described as communal creativity in the literature.

Several results contradicted popular assumptions. Germany, often stereotyped as rigid and conscientious, actually scored only slightly above the global mean on Conscientiousness (56.8) and was well within the range of Western European neighbors. German respondents did, however, show notably high Openness (64.1), ranking third globally behind only the Netherlands and Sweden.

India presented another surprise. Despite its reputation as a collectivist society, Indian respondents scored relatively high on Extraversion (53.4) and showed a wider distribution of 16-type results than almost any other country. The top five types in India each accounted for between 9% and 13% of respondents, suggesting less concentration around a dominant type. This may reflect India's extraordinary linguistic and cultural diversity, which our single-country analysis cannot fully capture.

Russia and other post-Soviet states showed a pattern we informally call the resilience profile: above-average Neuroticism (57.2) combined with above-average Conscientiousness (58.1). This combination, somewhat rare globally, may reflect adaptation to historically unpredictable economic and political environments where both vigilance and discipline are advantageous.

Australia and New Zealand, despite cultural similarities to the UK, diverged from British respondents on Agreeableness. Australian respondents scored 4.2 points higher on Agreeableness than their British counterparts, a statistically significant difference (d = 0.31) that persisted after controlling for age and gender. Whether this reflects genuine cultural difference or sampling artifact remains an open question.

Attributing personality variation to single causes is a mistake that psychology has made repeatedly. The reality is multicausal. Genetic population structure accounts for some variance, as behavioral genetics research on migration and assortative mating has shown. However, gene-level explanations are insufficient because personality trait distributions shift within countries over relatively short time periods, faster than genetic selection can operate.

Cultural norms and values play a substantial role. Geert Hofstede's dimensions of national culture, particularly Individualism-Collectivism and Uncertainty Avoidance, correlate with Big Five traits at the country level. In our data, countries high on Hofstede's Individualism index showed higher Openness (r = 0.54, p < 0.001) and lower Agreeableness (r = -0.38, p < 0.01). Countries high on Uncertainty Avoidance showed higher Neuroticism (r = 0.47, p < 0.001).

Economic development matters too. GDP per capita correlated positively with Openness (r = 0.49) and negatively with Neuroticism (r = -0.41). This does not mean that wealth makes people more open and less anxious in a direct causal sense. Wealthier nations typically have stronger social safety nets, more educational opportunities, and greater personal freedom, all of which create conditions under which exploration and emotional stability are more easily sustained.

Climate has been proposed as a factor by Wei and colleagues (2017), who found that populations in regions with more moderate, predictable climates tended toward higher Agreeableness and Conscientiousness. Our data partially supports this, though the effect is modest and difficult to separate from economic confounds.

If you have taken a personality test on our platform, these findings have direct relevance to how you interpret your results. A score that is average in Japan may be well below average in Brazil. When you receive your personality profile, we provide both global and regional norm comparisons for this reason.

For individuals working in international settings, understanding national personality baselines can improve communication and reduce friction. A manager from the United States working with a Japanese team should recognize that lower Extraversion scores in Japan do not indicate disengagement or lack of confidence. They reflect a cultural context in which reserved communication is normative and often preferred.

Similarly, if you score as a relatively uncommon type in your country, such as an ENTP in Japan or an ISFJ in Sweden, this does not mean something is wrong with you. It means your natural tendencies differ from the local statistical mode, which can be both a challenge and a source of unique perspective.

We encourage users to take both the 16 Personality Types and the Big Five assessments for a more complete picture. The two frameworks capture different facets of personality, and comparing your results across both can reveal nuances that neither instrument shows alone.

This analysis has important limitations that readers should keep in mind. First, our sample is drawn from voluntary online test-takers, who may differ systematically from the general population in each country. People who seek out personality tests may be higher in Openness and Neuroticism than those who do not, which could inflate these traits across the board.

Second, all assessments were completed in one of 12 available languages. Translation equivalence was established through back-translation and bilingual pilot testing, but subtle differences in item interpretation across languages can never be fully eliminated. The concept of introversion, for example, carries different connotations in English, Mandarin, and Arabic.

Third, our country-of-residence variable captures where people live, not where they were raised. In countries with large immigrant populations, this distinction matters. Future analyses will incorporate country-of-origin data to disentangle residential and developmental cultural influences.

We plan to update this analysis annually as our dataset grows. We are also developing machine learning models to predict personality type distributions for countries where we currently lack sufficient data, using demographic and cultural covariates as inputs. These predictions will be clearly labeled as modeled estimates rather than observed data.