Are your standards for a partner realistic, or are you after a statistical unicorn? Build your ideal and find out how many such people actually live in Europe. Official data, not hunches.
Click a country on the map to search only there.
A few quick questions, then the big reveal. Skip whatever you don't care about.
It is a quick reality check for your standards. Pick what you want (age, height, income, education, build and more) and we work out how many such people actually live in Europe. You will see whether you are looking for a real person or a statistical unicorn.
Yes. It is a European take on the popular American calculator often called the female or male delusion calculator. Instead of the US census it uses Eurostat and other European sources, for the whole EU and for each country. It does not judge anyone; it just shows how rare the ideal you put together is.
The numbers are real, the model is simplified. Each trait is evaluated for every country, sex and year of age, so links between traits (taller people earning more on average, say) are not modelled. Treat the result as a good estimate, not an exact count.
How many adults meet your standards. 0 stars: more than half. 1: at least one in five. 2: roughly one in 5 to 20. 3: one in 20 to 100. 4: fewer than 1 in 100. 5: fewer than 1 in 1,000, which is unicorn hunting.
No. The calculation runs on the server and nothing is stored. Only your own browser remembers your last choices, and a result link contains nothing but the chosen criteria. No cookies, no tracking.
Once a month the latest Eurostat tables are downloaded automatically. The date of the last update is in the footer.
Each requirement is evaluated for one country, sex and single year of age, and the results are added up. Within one year of age the traits are treated as independent, except education, living with a partner, single parenthood and living with parents, which come from one joint census table. Real correlations (between height and income, or eye and hair colour) are not modelled, so the result is a good estimate rather than an exact count. The data stay on the server; the page only receives finished results.
| Requirement | Source | Table |
|---|---|---|
| Population | Eurostat, population on 1 January 2025 | demo_pjan |
| Height | NCD-RisC (eLife 2016): mean height at 18 by year of birth. Standard deviation 6.5 cm for women and 7.1 cm for men. | ncdrisc.org |
| Income | Structure of Earnings Survey 2022 (median, 10th and 90th percentile of monthly gross pay; differences by sex and age), raised by wage growth to 2024. Share in work from the Labour Force Survey 2025. | earn_ses22_mdeci, earn_ses22_20, nama_10_fte, lfsa_ergan |
| Education, partner, kids, parents | 2021 census: persons in a couple, single parents and children living with parents by education, age and sex | cens_21fe_r2 |
| Marital status | 2021 census by single year of age | cens_21m |
| City or countryside | 2021 census by degree of urbanisation | cens_21urb01 |
| Build, smoking, alcohol, sport | European Health Interview Survey 2019 | hlth_ehis_bm1e, hlth_ehis_sk1e, hlth_ehis_al1e, hlth_ehis_pe2e |
| Foreign languages | Adult Education Survey 2022 | edat_aes_l22 |
| Ethnicity | Estimated from the country of birth: Eurostat 2025 and the 2021 census | migr_pop3ctb, cens_21cob_r3 |
| Faith | Special Eurobarometer 516 (2021), question D90.2, by country and age group; Muslim share from Pew Research Center (2016) | data.europa.eu, pewresearch.org |
| Eyes and hair | Katsara & Nothnagel 2019, a review of population studies; spread across Europe by inverse distance weighting (p = 2), as in the paper | doi:10.1016/j.fsigen.2019.01.001 |
| Map | Natural Earth 1:50m (world-atlas) | naturalearthdata.com |