Methodology
Understanding how we calculate Europe's aggregate statistics for accurate, transparent comparisons
Why This Matters
When comparing Europe with single countries like the USA, India, or China, we need a single aggregate number for Europe. This requires careful calculation to ensure accuracy and fairness.
The key principle: All metrics are population-weighted to reflect the true European experience. A simple average would give Luxembourg the same weight as Germany, which wouldn't be representative.
๐ What Defines "Europe"?
๐บ๏ธ Countries Included
We include 50 European countries in our calculations, representing a total population of 735M people.
Population Distribution:
Why These Countries?
โ Geographic Definition
All countries geographically located in Europe, including both EU and non-EU nations
โ Comprehensive Coverage
From large nations like Germany and France to small states like Monaco and San Marino
โ Data Availability
Countries with reliable data from Our World in Data and other authoritative sources
๐งฎ Calculation Methods
Population (Simple Sum)
The total population of Europe is calculated by summing all individual country populations.
Formula:
Current Data (2023):
View breakdown by country โผ
GDP per Capita PPP (Population-Weighted)
Purchasing power parity adjusted, weighted by population to reflect the true average European experience.
Formula (3 Steps):
Why Population-Weighted?
Current Data (2024):
Detailed Calculation (All 50 Countries):
View breakdown by country โผ
Other Metrics
Development indicators like child mortality and electricity access use population-weighted averages.
Standard Formula:
This ensures larger countries have proportionally more influence on the aggregate, reflecting the experience of the average European.
Child Mortality Rate
Electricity Access
๐ Data Sources
Our World in Data
Primary source for most metrics. A scientific online publication that focuses on large global problems.
Visit Our World in DataQuality Standards
- โ Data from peer-reviewed sources
- โ Regularly updated with latest figures
- โ Transparent methodology and sources
- โ Consistent definitions across countries
๐ Transparency & Open Source
This project is fully open source. You can review our code, data processing methods, and contribute improvements on GitHub.