This project estimates, for every country it tracks and for the world as a whole, the share of the resident population that is predominantly of European ancestry, each year from 1950 to 2100. This page explains what that means, how the estimates are built, and the rulings that apply across all countries.
What we measure
European ancestry here means ancestry traceable to the indigenous peoples of Europe — the populations present on the continent before the modern era of intercontinental migration. Genetically, modern Europeans descend from a three-way admixture of Western Hunter-Gatherers, Early European Farmers (originating in Anatolia), and Western Steppe Herders (from the Pontic–Caspian steppe), a model established by ancient-DNA research (Lazaridis et al., 2014; Haak et al., 2015). It is this shared continental ancestry that the metric tracks. The choice is not arbitrary: population-genetic studies consistently resolve humanity into a small number of major continental ancestry clusters — Sub-Saharan African, European, Middle Eastern and North African, South Asian, East Asian, Oceanian, and Native American — each distinct from the others (Li et al., 2008). Just as there are populations indigenous to Oceania, to East Asia, or to the Americas, there is a population indigenous to Europe, and tracking its size and share is a matter of the same demographic interest.
The measure is about ancestry — not nationality, language, religion, or self-identified race. A French citizen of Algerian descent is not counted as European-descended; a Polish citizen living in Britain is. The question is always the same: what share of the people living in a country are predominantly of European indigenous ancestry?
Why we build our own estimate
No country measures European descent directly. Statistical offices collect things that are close but not identical — census race categories, ethnicity, country of birth, citizenship, migration background. Each is a useful stand-in, but never a perfect match for ancestry.
Official statistics are therefore an input to this project, not its output. They are built for administration, not for this question, and they miss and misclassify people in predictable ways: bundling Middle Eastern and North African populations into “White,” absorbing later-generation immigrants into “native” categories, or recording European immigrants as merely “foreign.” Each country estimate starts from the best available measure and corrects it toward the ancestry definition, documenting every adjustment and its direction.
How the estimate is built
Each figure is a fraction: the number of European-descended people divided by the total number of people living in the country.
The numerator is corrected for who counts as European-descended — adding European-descended people the source leaves out (for example, European immigrants logged only as “foreign background”) and removing people who are not European-descended but the source includes (for example, MENA populations recorded as “White”).
The denominator is the de facto population: everyone physically resident, whether or not officials counted them. This matters because the people most often missed by official counts — undocumented migrants, unregistered refugees, transient workers — are disproportionately not European-descended, so counting only the registered population would overstate the European-descended share.
Building each country’s series
Each country is estimated as a yearly series from 1950 to 2100, but it is built from a smaller set of anchor years — the years for which a real measurement exists. These are usually census years, supplemented by population-register snapshots, large official surveys, and clearly dated demographic breaks such as a refugee surge or a change in citizenship law, together with a present-day estimate and a few projection points. We anchor only to years a country actually has data for, rather than imposing a tidy decade grid, and the values between anchors are filled by interpolation — never entered as if they were measurements.
The proxy used at each anchor is the best official category available at that time, and it changes over the life of a country’s record. The United States, for instance, is read from the total census “White” count before 1980 and from non-Hispanic White alone afterwards, while the United Kingdom has no usable ethnic-group census before 1991 and relies on reasoned reconstruction for the earlier decades. Because the underlying measure shifts, each country’s record is a chain of era-specific proxies rather than one continuous instrument, and every such break is documented.
At each anchor the raw proxy is corrected toward the ancestry definition as described above — subtracting groups recorded as European that fall outside it, adding back European-descended people filed elsewhere, and adjusting the denominator for residents the count missed. Decades with no usable proxy are carried as reasoned back-casts, and years beyond the present are projection scenarios rather than measurements. Each country’s report sets out the proxies used in each era, the corrections applied to them, and the sources behind them.
Example: the United States
Every country’s report carries a full table of corrected anchor values — the auditable arithmetic behind the estimate. Each row begins with the raw proxy, applies every correction with its direction and approximate size, and arrives at a single value. The full table is public: every value can be traced back to its source proxy, and every correction is visible in the arithmetic.
| Year | Value (%) | Value audit trail |
|---|---|---|
| 1950 | 84.4 | ~89.5% census total White proxy − ~1.8pp Hispanic-white subtraction − ~0.2pp MENA / non-European White residual − ~3.1pp Jewish-population correction = 84.4%. |
| 2000 | 65.8 | 69.1% non-Hispanic White alone proxy − ~0.9pp MENA subtraction − ~0.6pp coverage / denominator correction − ~1.8pp Jewish-population correction = 65.8%. |
| 2020 | 53.9 | 57.8% non-Hispanic White alone proxy − ~1.1pp MENA subtraction − ~1.0pp census coverage / denominator correction − ~1.8pp Jewish-population correction = 53.9%. |
| 2050 | 42.1 | 43.5% projection proxy after MENA / coverage / immigration assumptions − ~1.4pp projected Jewish-population correction = 42.1%. |
For the United States, the proxy switches from census total “White” (which includes Hispanic-white and MENA respondents) to non-Hispanic White alone at 1980, when the census first tabulated Hispanic origin cleanly.
Who counts as European-descended
Most cases are unambiguous and are settled by group membership: the task is to correct each country’s official categories — removing groups recorded as European that fall outside the definition, and adding back those that belong but are recorded elsewhere — not to estimate any individual’s ancestry. Direct appeal to the genetic standard is reserved for populations that are genuinely admixed and whose official classification can at times be misleading; for those, the ancestry threshold described under mixed ancestry below decides the question. The rulings that follow cover these harder cases and apply across every country.
Included
- People of indigenous European ancestry, regardless of citizenship or where they were born.
- Bosniaks, Albanians, and other Balkan Muslims — the boundary is ancestry, not religion, and these populations are genetically indigenous to Europe.
- European ethnic minorities living outside their titular nation, such as ethnic Russians in the Baltic states.
Excluded
- Middle Eastern and North African (MENA) populations, whose ancestry falls outside the European profile.
- Jewish populations (see mixed ancestry below).
- Deeply admixed Latin American populations, such as Brazilian pardos and Mexican mestizos (see mixed ancestry below).
- Turkic populations, such as Turks and the Gagauz, whose origins lie in Central and West Asia — regardless of long residence, citizenship, or local birth.
- Roma, whose ancestry traces to South Asia, are not treated as European-descended: they remain part of the total resident population but are kept out of the European-descended count, and documented separately rather than silently dropped.
These exclusions hold regardless of citizenship or country of birth: a third-generation citizen of non-European ancestry is counted by ancestry, not by passport.
Mixed ancestry
Mixed ancestry is handled by counting whole people, not fractions of ancestry; no individual is assigned partial credit. For a deeply admixed population, the question is whether its average European ancestry, as measured by genetic-admixture studies, is high enough to regard the population as predominantly European-descended — a working threshold of roughly 75%. Populations above the threshold are counted in; those below it are excluded from the European-descended figure while remaining part of the total resident population against which that figure is measured.
This matters most in Latin America, where self-identification diverges sharply from measured ancestry. The historical and social dynamics of blanqueamiento, or “whitening” — in which higher socioeconomic status and education raise the likelihood that a person reports as white — mean that census figures substantially overstate the share of the population that is genetically predominantly European (Paschetta et al., 2021; Ruiz-Linares et al., 2014). Deeply mixed populations such as Brazilian pardos and Mexican mestizos therefore fall outside the total, even where they are recorded as white.
The same threshold places Jewish populations outside the European-descended total. Ashkenazi Jews carry roughly 50% European ancestry (Carmi et al., 2014; Xue et al., 2017); Sephardi Jews somewhat lower; Mizrahi and Yemenite Jews under 15%; and Ethiopian Jews (Beta Israel) essentially none. Most groups share a Levantine and Middle Eastern founding ancestry that places them outside the European cluster; Ethiopian Jews (Beta Israel) are genetically an East African population with minimal Eurasian admixture of any kind. No Jewish subgroup meets the 75% threshold. Settler-origin populations in the Americas and Oceania, by contrast, sit above it and are treated as mostly, though not entirely, European-descended.
Historical data and projections
For most European countries the series begins near 98–99% in 1950, before large-scale non-European immigration. The decline that follows is tied to concrete events — post-war guest-worker recruitment, decolonisation, changes in immigration law, refugee and asylum flows, EU free movement, and the decisions of national governments to open migration. Each country’s report names the specific causes that bent its own curve. Figures from 1950 to the present rest on censuses, registers, surveys, and genetic studies, corrected as described above for each tracked country.
Figures beyond the present are projections, not measurements. They are reasoned from cohort replacement — older, more European-descended generations being succeeded by younger, less European-descended ones — together with fertility differences and the likely composition of future migration. Where a statistical office projects a related composition, we build on it and convert it to the ancestry definition; the United States Census Bureau, for example, projects population by race and Hispanic origin to 2100, and Statistics Canada projects the country’s visible-minority and ethnocultural composition, both of which we translate into a European-descent path. Where no such projection exists, as in much of Eastern Europe, the estimate rests instead on United Nations and national population projections together with reasoning about cohort replacement, fertility differences, emigration, and the likely composition of future migration. In every case the European-descent figure is our own synthesis. As with any long-range demographic projection, the uncertainty widens the further out it reaches; the values around 2100 should be read as scenarios, not forecasts.
The global figure
The worldwide figure is not an average of the country percentages. It is assembled as a global headcount: the European-descended people in the tracked countries, plus those in other countries with significant European-descended populations (such as Brazil, Mexico, and South Africa), plus a bounded estimate for the rest of the world, all divided by the United Nations’ total world population. This keeps the global share grounded in absolute numbers rather than in an unweighted blend of national rates.
Regional figures
Each tracked country belongs to a region — North America, South America, Western Europe, Northern Europe, Southern Europe, Central Europe, Southeastern Europe, Eastern Europe, and Australasia. A region’s European-descended share is a population-weighted aggregate of its member countries, not a simple average of their rates: in effect the region is treated as one large country, with the European-descended people of its members summed and divided by those members’ combined population, so a populous country weighs more than a small one. The regional denominator is therefore the combined population of the member countries.
Regions include only countries the project tracks; the additional countries used to assemble the global figure are not folded in. This matters most in the Americas, where several countries feed the global figure but where the South America region includes only Argentina and Uruguay. The European regions, by contrast, contain almost all of their constituent countries and so track the geographic region closely.
Certainty and sources
The estimates are not all equally firm. Recent decades in countries with strong population registers or detailed censuses rest on direct measurement and are the most secure; mid-century back-casts and long-range projections rest more on reasoning and are the least. The sources behind each estimate are listed on the publicly available report for each country.
Why we track this
The share of the world’s population that is of European descent is falling rapidly, and in many individual countries a long-standing European-descended majority is receding within a single lifetime. This project treats that as a significant and consequential transformation — one worth measuring carefully and stating plainly, without exaggeration, without understatement.
References
Carmi, S., et al. (2014). Sequencing an Ashkenazi reference panel supports population-targeted personal genomics and illuminates Jewish and European origins. Nature Communications, 5, 4835.
Haak, W., et al. (2015). Massive migration from the steppe was a source for Indo-European languages in Europe. Nature, 522, 207–211.
Lazaridis, I., et al. (2014). Ancient human genomes suggest three ancestral populations for present-day Europeans. Nature, 513, 409–413.
Li, J. Z., et al. (2008). Worldwide human relationships inferred from genome-wide patterns of variation. Science, 319(5866), 1100–1104.
Paschetta, C., et al. (2021). The impact of socioeconomic and phenotypic traits on self-perception of ethnicity in Latin America. Scientific Reports, 11, 12617.
Ruiz-Linares, A., et al. (2014). Admixture in Latin America: geographic structure, phenotypic diversity and self-perception of ancestry based on 7,342 individuals. PLOS Genetics, 10(9), e1004572.
Xue, J., et al. (2017). The time and place of European admixture in Ashkenazi Jewish history. PLOS Genetics, 13(4), e1006644.