About

The Replacement Clock tracks the European-descended share of the world's population and of 45 nations from 1950 to 2100. It consolidates historical figures and modeled projections into a single interactive timeline — sourced, auditable, and methodologically transparent.

European ancestry

noun / ˌjʊə.rəˈpiː.ən ˈæn.sɛs.tri /

Ancestry traceable to the indigenous peoples of the European continent — the populations present in Europe prior to the modern era of intercontinental migration.

Accurate ethnic demographic data for Western countries is uniquely difficult to access. No country directly tracks the share of its population that is of European descent. Several nations prohibit or restrict the collection of such data outright; France's ban on ethnic statistics is the most prominent but not the only case. In other countries, official statistics obscure long-term trends through inconsistent census categories and aggregation methods that flatten meaningful distinctions. They miss and misclassify people in predictable ways: bundling Middle Eastern and North African populations into "White," absorbing later-generation immigrants into "native," or recording European immigrants to other European countries merely as foreign. The result is a landscape in which some of the most consequential facts about the trajectory of Western societies are among the hardest to establish with precision.

This project exists to close that gap. It draws on the best available demographic evidence to reconstruct the European-descended share of each population across time, using a consistent definition across countries and eras. The sources, assumptions, and adjustments behind every figure are open to inspection.

Demographic composition is a matter of public interest, not a protected secret. Western peoples deserve to know what time it is.


The Replacement Clock project was created and is maintained by researcher and writer Leo Pier.

We welcome contributions from researchers and analysts across the West whose local expertise can help improve the data.