2024
Statistics
Life Satisfaction
Average of survey responses asking people to rate their current life on a scale from 0 to 10, where 0 represents the worst possible life and 10 represents the best possible life they can imagine (Cantril Self-Anchoring Scale).
Interactive Trend
Life Satisfaction
Life Satisfaction
Source: EuropeVersus.com • Our World in Data
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Aggregates
Global
Eurozone
Non-Euro EU
Non-EU Europe
Regional Comparison
🇪🇺
Europe
2024
6.37
🇪🇺
EU-27
2024
6.61
🇺🇸
USA
2024
6.72
🇮🇳
India
2024
4.39
🇨🇳
China
2024
5.92
Historical Data
| Year | 🇩🇪 Germany | 🇫🇷 France | 🇮🇹 Italy | 🇪🇸 Spain | 🇳🇱 Netherlands | 🇧🇪 Belgium | 🇦🇹 Austria | 🇮🇪 Ireland | 🇵🇹 Portugal | 🇬🇷 Greece | 🇫🇮 Finland | 🇸🇰 Slovakia | 🇸🇮 Slovenia | 🇪🇪 Estonia | 🇱🇻 Latvia | 🇱🇹 Lithuania | 🇱🇺 Luxembourg | 🇲🇹 Malta | 🇨🇾 Cyprus | 🇭🇷 Croatia | 🇵🇱 Poland | 🇸🇪 Sweden | 🇩🇰 Denmark | 🇨🇿 Czechia | 🇭🇺 Hungary | 🇷🇴 Romania | 🇧🇬 Bulgaria | 🇨🇭 Switzerland | 🇳🇴 Norway | 🇬🇧 UK | 🇮🇸 Iceland | 🇱🇮 Liechtenstein | 🇲🇨 Monaco | 🇦🇩 Andorra | 🇸🇲 San Marino | 🇻🇦 Vatican | 🇺🇦 Ukraine | 🇧🇾 Belarus | 🇲🇩 Moldova | 🇷🇺 Russia | 🇦🇱 Albania | 🇧🇦 Bosnia & Herzegovina | 🇷🇸 Serbia | 🇲🇪 Montenegro | 🇲🇰 North Macedonia | 🇽🇰 Kosovo | 🇬🇪 Georgia | 🇦🇲 Armenia | 🇦🇿 Azerbaijan | 🇹🇷 Turkey | 🇪🇺 Europe | 🇪🇺 EU-27 | 🇪🇺 Core EU | 💶 Eurozone (Agg) | 🇪🇺 Non-€ EU (Agg) | 🌍 Non-EU Eur (Agg) | 🇺🇸 USA | 🇨🇳 China | 🇮🇳 India |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024 | 6.8 | 6.6 | 6.4 | 6.5 | 7.3 | 6.9 | 6.8 | 6.9 | 6.0 | 5.8 | 7.7 | 6.2 | 6.8 | 6.4 | 6.2 | 6.8 | 7.1 | 6.3 | 5.9 | 5.9 | 6.7 | 7.4 | 7.5 | 6.8 | 5.9 | 6.6 | 5.6 | 6.9 | 7.3 | 6.7 | 7.5 | — | — | — | — | — | 4.7 | — | 5.8 | 6.0 | 5.4 | 6.1 | 6.6 | 5.9 | 5.5 | 6.7 | 5.4 | 5.5 | 4.9 | 5.3 | 6.4 | 6.6 | 6.7 | 6.6 | 6.6 | 6.8 | 6.7 | 5.9 | 4.4 |
| 2023 | 6.7 | 6.6 | 6.3 | 6.4 | 7.3 | 6.9 | 6.9 | 6.8 | 6.0 | 5.9 | 7.7 | 6.3 | 6.7 | 6.5 | 6.2 | 6.8 | 7.1 | 6.4 | 6.1 | 5.9 | 6.4 | 7.3 | 7.6 | 6.8 | 6.0 | 6.5 | 5.5 | 7.1 | 7.3 | 6.8 | 7.5 | — | — | — | — | — | 4.9 | — | 5.8 | 5.8 | 5.3 | 5.9 | 6.4 | 5.7 | 5.4 | 6.6 | 5.2 | 5.5 | 4.9 | 5.0 | 6.3 | 6.6 | 6.7 | 6.6 | 6.5 | 6.8 | 6.7 | 6.0 | 4.1 |
| 2022 | 6.9 | 6.7 | 6.4 | 6.4 | 7.4 | 6.9 | 7.1 | 6.9 | 6.0 | 5.9 | 7.8 | 6.5 | 6.7 | 6.5 | 6.2 | 6.8 | 7.2 | 6.3 | 6.1 | 6.1 | 6.3 | 7.4 | 7.6 | 6.9 | 6.0 | 6.6 | 5.5 | 7.2 | 7.3 | 6.8 | 7.5 | — | — | — | — | — | 5.1 | — | 5.8 | 5.7 | 5.3 | 5.6 | 6.1 | 5.7 | 5.3 | 6.4 | 5.1 | 5.3 | — | 4.6 | 6.3 | 6.6 | 6.7 | 6.7 | 6.5 | 6.9 | 6.9 | 5.8 | 4.0 |
| 2021 | 7.0 | 6.7 | 6.5 | 6.5 | 7.4 | 6.8 | 7.2 | 7.0 | 6.0 | 6.0 | 7.8 | 6.4 | 6.6 | 6.3 | 6.2 | 6.5 | 7.4 | 6.5 | 6.2 | 6.1 | 6.1 | 7.4 | 7.6 | 6.9 | 6.1 | 6.5 | 5.4 | 7.5 | 7.4 | 6.9 | 7.6 | — | — | — | — | — | 5.1 | 5.8 | 5.9 | 5.5 | 5.2 | 5.8 | 6.2 | 5.6 | 5.2 | 6.5 | 5.0 | 5.4 | 5.2 | 4.7 | 6.3 | 6.7 | 6.8 | 6.7 | 6.4 | 7.0 | 7.0 | 5.6 | 3.8 |
| 2020 | 7.2 | 6.7 | 6.5 | 6.5 | 7.5 | 6.8 | 7.3 | 7.1 | 5.9 | 5.7 | 7.8 | 6.3 | 6.5 | 6.2 | 6.0 | 6.3 | 7.3 | 6.6 | 6.2 | 5.9 | 6.2 | 7.4 | 7.6 | 7.0 | 6.0 | 6.1 | 5.3 | 7.6 | 7.4 | 7.1 | 7.6 | — | — | — | — | — | 4.9 | 5.5 | 5.8 | 5.5 | 5.1 | 5.8 | 6.1 | 5.6 | 5.1 | 6.4 | 4.9 | 5.3 | 5.2 | 5.0 | 6.3 | 6.7 | 6.9 | 6.7 | 6.4 | 7.1 | 7.0 | 5.3 | 3.8 |
| 2019 | 7.1 | 6.7 | 6.4 | 6.4 | 7.5 | 6.9 | 7.3 | 7.1 | 5.9 | 5.5 | 7.8 | 6.3 | 6.4 | 6.0 | 6.0 | 6.2 | 7.2 | 6.8 | 6.2 | 5.5 | 6.2 | 7.4 | 7.7 | 6.9 | 6.0 | 6.1 | 5.1 | 7.6 | 7.5 | 7.2 | 7.5 | — | — | — | — | — | 4.6 | 5.5 | 5.6 | 5.6 | 4.9 | 5.7 | 5.8 | 5.6 | 5.2 | 6.3 | 4.7 | 4.7 | 5.2 | 5.1 | 6.3 | 6.6 | 6.8 | 6.7 | 6.4 | 7.2 | 6.9 | 5.1 | 3.6 |
| 2018 | 7.0 | 6.6 | 6.2 | 6.4 | 7.5 | 6.9 | 7.3 | 7.0 | 5.7 | 5.3 | 7.8 | 6.2 | 6.1 | 5.9 | 5.9 | 6.2 | 7.1 | 6.7 | 6.1 | 5.4 | 6.2 | 7.3 | 7.6 | 6.9 | 5.8 | 6.1 | 5.0 | 7.5 | 7.6 | 7.1 | 7.5 | — | — | — | — | — | 4.3 | 5.3 | 5.5 | 5.7 | 4.7 | 5.4 | 5.6 | 5.5 | 5.3 | 6.1 | 4.5 | 4.6 | 5.2 | 5.4 | 6.2 | 6.5 | 6.7 | 6.6 | 6.3 | 7.1 | 6.9 | 5.2 | 4.0 |
| 2017 | 7.0 | 6.5 | 6.0 | 6.3 | 7.4 | 6.9 | 7.1 | 7.0 | 5.4 | 5.4 | 7.6 | 6.2 | 6.0 | 5.7 | 5.9 | 6.0 | 6.9 | 6.6 | 5.8 | 5.3 | 6.1 | 7.3 | 7.6 | 6.7 | 5.6 | 6.0 | 4.9 | 7.5 | 7.6 | 6.8 | 7.5 | — | — | — | — | — | 4.1 | 5.5 | 5.6 | 5.8 | 4.6 | 5.1 | 5.4 | 5.4 | 5.2 | 5.7 | 4.3 | 4.3 | 5.2 | 5.5 | 6.2 | 6.4 | 6.6 | 6.5 | 6.2 | 6.9 | 6.9 | 5.3 | 4.2 |
| 2016 | 7.0 | 6.4 | 6.0 | 6.4 | 7.4 | 6.9 | 7.0 | 7.0 | 5.2 | 5.2 | 7.5 | 6.1 | 5.8 | 5.6 | 5.9 | 5.9 | 6.9 | 6.5 | 5.6 | 5.3 | 6.0 | 7.3 | 7.5 | 6.6 | 5.3 | 5.8 | 4.7 | 7.5 | 7.5 | 6.7 | 7.5 | — | — | — | — | — | 4.1 | 5.6 | 5.8 | 6.0 | 4.6 | 5.2 | 5.4 | 5.2 | 5.2 | 5.3 | 4.3 | 4.4 | 5.2 | 5.5 | 6.1 | 6.4 | 6.6 | 6.5 | 6.1 | 6.9 | 7.0 | 5.3 | 4.3 |
| 2015 | 7.0 | 6.5 | 6.0 | 6.4 | 7.3 | 6.9 | 7.1 | 6.9 | 5.1 | 5.0 | 7.4 | 6.1 | 5.8 | 5.5 | 5.6 | 5.8 | 6.9 | 6.5 | 5.6 | 5.5 | 5.8 | 7.3 | 7.5 | 6.6 | 5.2 | 5.5 | 4.2 | 7.5 | 7.5 | 6.7 | 7.5 | — | — | — | — | — | 4.3 | 5.8 | 5.9 | 5.9 | 4.7 | 5.2 | 5.2 | 5.2 | 5.1 | 5.4 | 4.3 | 4.4 | 5.3 | 5.4 | 6.1 | 6.3 | 6.6 | 6.5 | 5.9 | 6.9 | 7.1 | 5.3 | 4.4 |
| 2014 | 6.8 | 6.6 | 6.0 | 6.3 | 7.4 | 6.9 | 7.2 | 6.9 | 5.1 | 4.9 | 7.4 | 6.0 | 5.9 | 5.4 | 5.1 | 5.8 | 7.0 | 6.3 | 5.7 | 5.8 | 5.8 | 7.4 | 7.5 | 6.5 | 4.8 | 5.1 | 4.2 | 7.6 | 7.5 | 6.9 | 7.6 | — | — | — | — | — | 4.7 | 5.8 | 5.9 | 5.7 | 5.0 | 5.0 | 5.1 | 5.2 | 5.0 | 5.6 | 4.3 | 4.4 | 5.2 | 5.3 | 6.1 | 6.3 | 6.6 | 6.4 | 5.8 | 7.0 | 7.1 | 5.1 | 4.6 |
| 2012 | 6.7 | 6.8 | 6.0 | 6.3 | 7.5 | 7.0 | 7.4 | 7.1 | 5.1 | 5.4 | 7.4 | 6.0 | 6.1 | 5.4 | 5.1 | 5.4 | 7.1 | 6.0 | 6.5 | 5.7 | 5.8 | 7.5 | 7.7 | 6.3 | 4.8 | 5.0 | 4.0 | 7.7 | 7.7 | 6.9 | 7.4 | — | — | — | — | — | 5.1 | 5.5 | 5.8 | 5.5 | 5.6 | 4.8 | 4.8 | 5.3 | 4.6 | 5.2 | 4.2 | 4.3 | 4.6 | 5.4 | 6.1 | 6.3 | 6.6 | 6.5 | 5.7 | 7.0 | 7.1 | 5.0 | 4.8 |
| 2011 | 6.6 | 6.8 | 6.6 | 6.8 | 7.5 | 7.1 | 7.2 | 7.3 | 5.3 | 6.1 | 7.6 | 5.7 | 5.9 | 5.3 | 4.8 | 5.6 | 7.1 | 6.0 | 6.4 | 5.6 | 5.8 | 7.4 | 7.9 | 6.4 | 4.9 | 5.2 | 3.9 | 7.5 | 7.5 | 6.9 | 6.9 | — | — | — | — | — | 5.1 | 5.6 | 5.3 | 5.3 | 5.1 | 4.9 | 4.6 | 5.2 | 4.4 | 5.4 | 3.9 | 4.5 | 4.6 | 5.2 | 6.1 | 6.4 | 6.7 | 6.6 | 5.8 | 7.0 | 7.3 | 4.7 | 5.0 |
* = Incomplete data (<70% population coverage) - some countries using forward-filled values from previous years
Visual Comparison
🇪🇺 Europe
6.37
94.8%
🇺🇸 USA
6.72
100.0%
🇮🇳 India
4.39
65.3%
🇨🇳 China
5.92
88.1%
Key Insights
EUR vs USA
-5.2%
EUR vs IND
+45.1%
EUR vs CHN
+7.6%
Best Performer
USA
HOW EUROPE
IS DEFINED
Transparent, population-weighted calculations for fair comparisons
01
Europe
Includes all 50 European countries:
- — 27 EU member states: Germany, France, Italy, etc.
- — Other European: UK, Switzerland, Norway, etc.
02
Simple Sum
Used for absolute totals across all countries:
- — Step 1: Collect metric for each country
- — Step 2: Add all values together
- — Examples: Total population, total GDP
03
Population-Weighted
Used for per-capita metrics to reflect population size:
- — Step 1: Metric × population per country
- — Step 2: Sum all weighted values
- — Step 3: Divide by total population
Example: GDP/Capita PPP
$48,942
2024
Source
Our World in Data