2021
Statistics
Terrorism deaths
Confirmed deaths, including all victims and attackers who died because of a terrorist attack.
Interactive Trend
Terrorism Deaths
Terrorism deaths
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
2021
26.00
🇮🇳
India
2021
135
🇨🇳
China
2021
8.00
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021 | 3.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | — | — | 0.0 | — | 0.0 | 7.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | — | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 | — | — | — | — | — | — | 26.0 | 8.0 | 135 |
| 2020 | 14.0 | 11.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 6.0 | 0.0 | — | — | 0.0 | — | 0.0 | 8.0 | 0.0 | 0.0 | 6.0 | 0.0 | 0.0 | 0.0 | 0.0 | — | 0.0 | 0.0 | 0.0 | 0.0 | 34.0 | — | — | — | — | — | — | 12.0 | 0.0 | 212 |
| 2019 | 4.0 | 8.0 | 0.0 | 0.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 5.0 | 0.0 | — | — | 0.0 | — | 0.0 | 18.0 | 0.0 | 0.0 | 16.0 | 0.0 | 0.0 | 0.0 | 0.0 | — | 0.0 | 0.0 | 0.0 | 0.0 | 99.0 | — | — | — | — | — | — | 53.0 | 0.0 | 310 |
| 2018 | 0.0 | 13.0 | 0.0 | 1.0 | 1.0 | 4.0 | 1.0 | 0.0 | 0.0 | 3.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | — | — | 0.0 | — | 0.0 | 14.0 | 0.0 | 0.0 | 23.0 | 0.0 | 0.0 | 0.0 | 1.0 | — | 1.0 | 1.0 | 0.0 | 0.0 | 94.0 | — | — | — | — | — | — | 45.0 | 2.0 | 413 |
| 2017 | 1.0 | 7.0 | 0.0 | 21.0 | 0.0 | 2.0 | 2.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 42.0 | 0.0 | — | — | 0.0 | — | 0.0 | 40.0 | 0.0 | 0.0 | 61.0 | 0.0 | 0.0 | 0.0 | 0.0 | — | 0.0 | 0.0 | 0.0 | 5.0 | 222 | — | — | — | — | — | — | 98.0 | 16.0 | 465 |
| 2016 | 27.0 | 94.0 | 1.0 | 0.0 | 0.0 | 36.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 9.0 | 0.0 | — | — | 0.0 | — | 0.0 | 48.0 | 0.0 | 0.0 | 64.0 | 0.0 | 0.0 | 0.0 | 0.0 | — | 0.0 | 1.0 | 6.0 | 1.0 | 1,008 | — | — | — | — | — | — | 68.0 | 13.0 | 467 |
| 2015 | 1.0 | 162 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | — | — | 0.0 | — | 0.0 | 766 | 0.0 | 0.0 | 21.0 | 0.0 | 4.0 | 0.0 | 0.0 | — | 0.0 | 0.0 | 0.0 | 0.0 | 490 | — | — | — | — | — | — | 54.0 | 123 | 387 |
| 2014 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | — | — | 0.0 | — | 0.0 | 1,397 | 0.0 | 0.0 | 67.0 | 1.0 | 0.0 | 0.0 | 0.0 | — | 2.0 | 0.0 | 0.0 | 0.0 | 40.0 | — | — | — | — | — | — | 26.0 | 322 | 490 |
| 2013 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | 0.0 | — | — | 0.0 | — | 0.0 | 1.0 | 0.0 | 0.0 | 148 | 0.0 | 0.0 | 0.0 | 0.0 | — | 1.0 | 2.0 | 0.0 | 0.0 | 83.0 | — | — | — | — | — | — | 23.0 | 60.0 | 467 |
| 2012 | 0.0 | 8.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 8.0 | 0.0 | 0.0 | 2.0 | 0.0 | — | — | 0.0 | — | 0.0 | 1.0 | 0.0 | 0.0 | 161 | 0.0 | 0.0 | 1.0 | 0.0 | — | 3.0 | 1.0 | 0.0 | 0.0 | 251 | — | — | — | — | — | — | 7.0 | 27.0 | 264 |
| 2011 | 2.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 77.0 | 1.0 | 0.0 | — | — | 0.0 | — | 0.0 | 0.0 | 13.0 | 0.0 | 160 | 0.0 | 0.0 | 0.0 | 0.0 | — | 0.0 | 1.0 | 0.0 | 0.0 | 25.0 | — | — | — | — | — | — | 0.0 | 19.0 | 499 |
| 2010 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | — | — | 0.0 | — | 0.0 | 1.0 | 0.0 | 0.0 | 231 | 0.0 | 1.0 | 0.0 | 0.0 | — | 1.0 | 4.0 | 0.0 | 0.0 | 13.0 | — | — | — | — | — | — | 4.0 | 7.0 | 812 |
| 2009 | 0.0 | 0.0 | 0.0 | 3.0 | 7.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | — | — | 0.0 | — | 0.0 | 0.0 | 0.0 | 0.0 | 141 | 0.0 | 0.0 | 0.0 | 0.0 | — | 0.0 | 5.0 | 1.0 | 1.0 | 18.0 | — | — | — | — | — | — | 22.0 | 186 | 774 |
| 2008 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | — | — | 0.0 | — | 0.0 | 0.0 | 0.0 | 0.0 | 95.0 | 0.0 | 2.0 | 2.0 | 0.0 | — | 0.0 | 13.0 | 0.0 | 5.0 | 42.0 | — | — | — | — | — | — | 2.0 | 39.0 | 904 |
| 2007 | 1.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 9.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | 0.0 | — | — | 0.0 | — | 0.0 | 0.0 | 0.0 | 0.0 | 55.0 | 0.0 | 1.0 | 0.0 | 0.0 | — | 1.0 | 0.0 | 0.0 | 0.0 | 26.0 | — | — | — | — | — | — | 0.0 | 0.0 | 626 |
* = Incomplete data (<70% population coverage) - some countries using forward-filled values from previous years
Showing latest 15 years. Total data spans 22 years
(2000 – 2021)
Visual Comparison
🇺🇸 USA
26.00
19.3%
🇮🇳 India
135
100.0%
🇨🇳 China
8.00
Key Insights
Best Performer
IND
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