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2024 Statistics

Electoral Democracy Index

Data by V-Dem. Expert estimates of the extent to which political leaders are elected under comprehensive voting rights in free and fair elections, and freedoms of association and expression are guaranteed. The index ranges from 0 to 1 (most democratic).

Interactive Trend

Electoral Democracy Index

Electoral Democracy Index

Source: Common Values • Our World in Data

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Aggregates

Global

Eurozone

Non-Euro EU

Non-EU Europe

Regional Comparison

🇪🇺
Europe
—
—
🇪🇺
EU-27
—
—
🇺🇸
USA
2024
0.84
🇮🇳
India
2024
0.38
🇨🇳
China
2024
0.07

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 0.8 0.9 0.8 0.8 0.8 0.9 0.8 0.9 0.8 0.7 0.8 0.7 0.7 0.9 0.8 0.8 0.9 0.8 0.8 0.7 0.7 0.9 0.9 0.9 0.4 0.6 0.6 0.9 0.9 0.8 0.8 — — — — — 0.4 0.2 0.6 0.2 0.5 0.5 0.3 0.6 0.6 0.6 0.5 0.6 0.2 0.3 — — — — — — 0.8 0.1 0.4
2023 0.9 0.9 0.8 0.8 0.8 0.9 0.8 0.9 0.9 0.7 0.9 0.8 0.8 0.9 0.8 0.8 0.9 0.8 0.8 0.7 0.6 0.9 0.9 0.9 0.4 0.7 0.7 0.9 0.9 0.9 0.8 — — — — — 0.4 0.2 0.7 0.2 0.5 0.5 0.4 0.6 0.6 0.7 0.6 0.6 0.2 0.3 — — — — — — 0.9 0.1 0.4
2022 0.9 0.9 0.8 0.9 0.9 0.9 0.8 0.9 0.8 0.8 0.9 0.8 0.8 0.9 0.8 0.8 0.9 0.8 0.8 0.7 0.6 0.9 0.9 0.9 0.4 0.7 0.7 0.9 0.9 0.8 0.8 — — — — — 0.4 0.2 0.8 0.2 0.5 0.5 0.4 0.5 0.6 0.7 0.6 0.7 0.2 0.3 — — — — — — 0.8 0.1 0.4
2021 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.8 0.9 0.8 0.7 0.9 0.8 0.8 0.9 0.8 0.8 0.7 0.6 0.9 0.9 0.8 0.5 0.8 0.7 0.9 0.9 0.9 0.8 — — — — — 0.5 0.2 0.8 0.2 0.5 0.5 0.3 0.5 0.6 0.7 0.6 0.7 0.2 0.3 — — — — — — 0.8 0.1 0.4
2020 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.8 0.9 0.8 0.8 0.9 0.8 0.8 0.9 0.8 0.8 0.8 0.6 0.9 0.9 0.8 0.5 0.8 0.6 0.9 0.9 0.9 0.9 — — — — — 0.6 0.2 0.7 0.3 0.5 0.5 0.3 0.5 0.6 0.7 0.6 0.8 0.2 0.3 — — — — — — 0.8 0.1 0.4
2019 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.8 0.8 0.9 0.8 0.8 0.9 0.8 0.8 0.7 0.7 0.9 0.9 0.8 0.5 0.8 0.6 0.9 0.9 0.9 0.9 — — — — — 0.5 0.3 0.6 0.3 0.5 0.5 0.4 0.5 0.6 0.7 0.6 0.8 0.2 0.3 — — — — — — 0.8 0.1 0.4
2018 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.8 0.8 0.9 0.8 0.8 0.9 0.8 0.8 0.7 0.7 0.9 0.9 0.8 0.5 0.7 0.6 0.9 0.9 0.9 0.9 — — — — — 0.4 0.3 0.5 0.3 0.5 0.5 0.4 0.5 0.6 0.7 0.7 0.5 0.2 0.3 — — — — — — 0.8 0.1 0.5
2017 0.9 0.9 0.9 0.8 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.8 0.8 0.9 0.8 0.8 0.9 0.8 0.8 0.7 0.7 0.9 0.9 0.8 0.6 0.7 0.6 0.9 0.9 0.9 0.9 — — — — — 0.4 0.3 0.5 0.3 0.5 0.5 0.4 0.5 0.5 0.6 0.7 0.4 0.2 0.3 — — — — — — 0.8 0.1 0.5
2016 0.9 0.9 0.9 0.8 0.9 0.9 0.8 0.9 0.9 0.9 0.9 0.8 0.9 0.9 0.8 0.8 0.9 0.8 0.9 0.8 0.7 0.9 0.9 0.9 0.6 0.7 0.7 0.9 0.9 0.9 0.9 — — — — — 0.4 0.3 0.5 0.3 0.5 0.5 0.4 0.5 0.4 0.7 0.7 0.3 0.2 0.3 — — — — — — 0.9 0.1 0.5
2015 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.8 0.9 0.9 0.8 0.8 0.9 0.8 0.9 0.8 0.9 0.9 0.9 0.9 0.6 0.7 0.7 0.9 0.9 0.9 0.9 — — — — — 0.4 0.2 0.6 0.3 0.5 0.5 0.4 0.5 0.4 0.7 0.7 0.3 0.2 0.4 — — — — — — 0.9 0.1 0.5
2014 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.8 0.9 0.9 0.8 0.8 0.9 0.8 0.8 0.8 0.9 0.9 0.9 0.9 0.7 0.7 0.7 0.9 0.9 0.9 0.9 — — — — — 0.4 0.2 0.6 0.3 0.5 0.6 0.4 0.5 0.4 0.6 0.7 0.3 0.2 0.4 — — — — — — 0.9 0.1 0.6
2013 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.8 0.9 0.9 0.8 0.8 0.9 0.8 0.8 0.8 0.9 0.9 0.9 0.9 0.7 0.7 0.7 0.9 0.9 0.9 0.9 — — — — — 0.5 0.2 0.6 0.3 0.5 0.6 0.5 0.5 0.4 0.5 0.6 0.3 0.2 0.5 — — — — — — 0.9 0.1 0.7
2012 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.8 0.8 0.9 0.8 0.8 0.9 0.8 0.8 0.9 0.9 0.9 0.9 0.9 0.8 0.7 0.7 0.9 0.9 0.9 0.9 — — — — — 0.5 0.2 0.7 0.3 0.5 0.6 0.6 0.5 0.5 0.5 0.5 0.4 0.2 0.5 — — — — — — 0.9 0.1 0.7
2011 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.8 0.8 0.9 0.8 0.8 0.9 0.9 0.9 0.9 0.9 0.8 0.7 0.7 0.9 0.9 0.9 0.9 — — — — — 0.5 0.2 0.7 0.3 0.5 0.6 0.6 0.5 0.5 0.5 0.5 0.3 0.2 0.5 — — — — — — 0.9 0.1 0.7
2010 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.8 0.9 0.9 0.8 0.8 0.8 0.9 0.9 0.9 0.9 0.8 0.7 0.7 0.9 0.9 0.9 0.9 — — — — — 0.5 0.2 0.6 0.3 0.5 0.6 0.6 0.5 0.5 0.5 0.5 0.3 0.2 0.5 — — — — — — 0.9 0.1 0.7
* = Incomplete data (<70% population coverage) - some countries using forward-filled values from previous years
Showing latest 15 years. Total data spans 25 years (2000 – 2024)

Visual Comparison

🇺🇸 USA 0.84
100.0%
🇮🇳 India 0.38
45.2%
🇨🇳 China 0.07

Key Insights

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
Full Methodology
Source
Our World in Data