2024
Statistics
Homicide Rate
Annual number of intentional homicides per 100,000 population, as recorded by the UN Office on Drugs and Crime. Includes murder and manslaughter but excludes deaths from armed conflict, legal intervention, and self-defense.
Interactive Trend
Homicide Rate
Homicide Rate
Source: EuropeVersus.com • Our World in Data
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Aggregates
Global
Eurozone
Non-Euro EU
Non-EU Europe
Regional Comparison
🇪🇺
Europe
2024
2.22
🇪🇺
EU-27
2024
0.91
🇺🇸
USA
2023
5.76
🇮🇳
India
2022
2.82
🇨🇳
China
2020
0.50
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 | — | 1.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 1.0 | — | — | — | — | — | — | 1.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | 7.8 | 1.8 | — | — | — | — | — | — | — | 2.0 | — | 2.2* | 0.9* | 0.9* | 0.9* | 0.9* | — | — | — | — |
| 2023 | 0.9 | 1.3 | 0.6 | 0.7 | 0.7 | — | 0.9 | 0.7 | — | 0.8 | 1.0 | 1.1 | 0.6 | 1.5 | 2.5 | 2.6 | — | 0.6 | 0.8 | 0.7 | 0.8 | 1.2 | 0.8 | 0.8 | 0.7 | 1.1 | 1.1 | 0.6 | 0.7 | — | 1.3 | — | — | — | — | — | — | — | 2.5 | — | 1.4 | 1.2 | 1.3 | 0.8 | 1.5 | — | — | 2.2 | 2.2 | 3.2 | 2.1* | 0.9 | 0.9 | 0.9 | 0.9 | 1.0* | 5.8 | — | — |
| 2022 | 0.8 | 1.2 | 0.5 | 0.7 | 0.8 | — | 0.9 | 0.9 | 0.7 | 1.1 | 1.2 | 0.8 | 0.6 | 1.5 | 3.6 | 2.4 | 1.5 | 1.5 | 0.6 | 0.8 | 0.7 | 1.1 | 1.0 | 0.8 | 1.0 | 1.3 | 1.1 | 0.5 | 0.6 | — | 1.1 | — | — | — | — | — | — | — | 2.5 | — | 1.7 | 1.1 | 1.1 | 2.6 | 1.0 | — | — | 2.7 | 1.8 | 2.6 | 2.0* | 0.9 | 0.9 | 0.9 | 0.9 | 1.0* | 6.5 | — | 2.8 |
| 2021 | 0.8 | 1.1 | 0.5 | 0.6 | 0.7 | 1.1 | 0.7 | 0.4 | 0.8 | 0.8 | 1.3 | 1.0 | 0.4 | 2.0 | 3.0 | 2.6 | 0.6 | 0.4 | 1.2 | 0.8 | 0.7 | 1.1 | 0.6 | 0.5 | 0.8 | 1.3 | 1.3 | 0.5 | 0.5 | 1.1 | 0.5 | 5.1 | — | — | — | — | 3.8 | — | 2.2 | 6.8 | 2.3 | 1.0 | 1.1 | 2.5 | 0.8 | 1.9 | — | 3.1 | 1.7 | 2.5 | 2.0 | 0.8 | 0.8 | 0.8 | 0.9 | 1.0 | 6.8 | — | 2.9 |
| 2020 | 0.9 | 1.1 | 0.5 | 0.7 | 0.7 | — | 0.7 | 0.6 | 0.8 | 0.7 | 1.8 | 1.2 | 0.5 | 3.2 | 3.7 | 3.6 | 0.5 | 1.4 | 1.2 | 1.0 | 0.7 | 1.2 | 0.8 | 0.7 | 0.8 | 1.5 | 1.0 | 0.5 | 0.6 | 1.0 | 1.4 | 2.6 | — | 2.6 | — | — | 3.8 | — | 3.0 | 7.3 | 2.1 | 1.3 | 1.2 | 3.0 | 0.6 | 2.1 | — | 2.6 | 2.2 | 2.5 | 2.2 | 0.9 | 0.9 | 0.9 | 0.9 | 0.9 | 6.4 | 0.5 | 2.9 |
| 2019 | 0.8 | 1.2 | 0.5 | 0.7 | 0.7 | — | 0.9 | 0.7 | 0.7 | 0.7 | 1.5 | 1.4 | 0.7 | 2.0 | 3.4 | 3.4 | 0.6 | 1.0 | 1.2 | 0.8 | 0.7 | 1.1 | 0.9 | 0.9 | 0.7 | 1.3 | 1.2 | 0.5 | 0.5 | 1.2 | 0.3 | 2.6 | — | — | — | — | 4.1 | 2.4 | 3.9 | 7.6 | 2.3 | 1.3 | 1.3 | 3.8 | 1.2 | 1.4 | 2.0 | 2.5 | 1.7 | 2.4 | 2.2 | 0.9 | 0.9 | 0.9 | 0.9 | 1.0 | 4.9 | 0.5 | 3.0 |
| 2018 | 1.0 | 1.1 | 0.6 | 0.6 | 0.6 | — | 1.0 | 0.8 | 0.8 | 0.9 | 1.6 | 1.2 | 0.4 | 2.1 | 4.4 | 3.3 | 0.5 | 1.7 | 1.2 | 0.6 | 0.7 | 1.1 | 1.0 | — | 0.9 | 1.3 | 1.3 | 0.6 | 0.5 | 1.1 | 0.9 | 2.6 | — | — | — | — | 4.4 | 2.4 | 5.3 | 8.2 | 2.3 | 1.2 | 1.5 | 2.3 | 1.3 | 2.5 | 2.4 | 1.7 | 2.0 | 2.6 | 2.4 | 1.0 | 1.0 | 1.0 | 0.9 | 1.0 | 4.9 | 0.5 | 3.0 |
| 2017 | 1.0 | 1.1 | 0.6 | 0.7 | 0.8 | — | 0.8 | 0.8 | 0.7 | 0.8 | 1.2 | 1.5 | 0.9 | 2.2 | 4.2 | 3.5 | 0.3 | 1.9 | 0.6 | 1.1 | 0.8 | 1.1 | 1.2 | 0.6 | 1.6 | 1.3 | 1.5 | 0.5 | 0.5 | 1.2 | 0.9 | 2.6 | — | — | — | — | 6.1 | 2.5 | 4.4 | 9.1 | 2.0 | 1.2 | 1.2 | 2.4 | 1.6 | 2.7 | 2.4 | 2.4 | 1.8 | 3.1 | 2.7 | 1.0 | 1.0 | 1.0 | 1.0 | 1.1 | 5.2 | 0.6 | 3.1 |
| 2016 | 1.2 | 1.2 | 0.7 | 0.6 | 0.6 | — | 0.6 | 0.7 | 0.6 | 0.8 | 1.4 | 1.1 | 0.5 | 2.5 | 3.5 | 5.3 | 0.9 | 1.1 | 1.1 | 1.1 | 0.7 | 1.1 | 1.0 | 0.6 | 2.1 | 1.6 | 1.1 | 0.5 | 0.5 | 1.2 | 0.3 | — | — | — | — | — | — | 3.2 | 6.2 | 10.9 | 2.7 | 1.3 | 1.6 | 4.5 | 1.0 | 2.2 | 1.0 | 3.0 | 1.7 | 3.3 | 3.0 | 1.1 | 1.1 | 1.0 | 1.1 | 1.1 | 5.3 | 0.6 | 3.2 |
| 2015 | 0.8 | 1.6 | 0.8 | 0.7 | 0.6 | — | 0.5 | 0.6 | 1.0 | 0.9 | 1.5 | 0.9 | 1.0 | 3.4 | 3.4 | 5.9 | 0.9 | 0.9 | 1.2 | 0.9 | 0.8 | 1.1 | 1.1 | 0.8 | 2.3 | 1.7 | 1.8 | 0.7 | 0.5 | 1.0 | 0.9 | — | — | — | — | — | — | 3.4 | 5.8 | 11.5 | 2.2 | 1.6 | 1.4 | 2.7 | 1.3 | 2.4 | — | 2.6 | 2.2 | 2.8 | 3.1 | 1.1 | 1.1 | 1.1 | 1.2 | 0.9 | 4.9 | 0.7 | 3.3 |
| 2014 | 0.9 | 1.2 | 0.8 | 0.7 | 0.7 | — | 0.5 | 1.0 | 0.9 | 1.0 | 1.6 | 1.3 | 0.8 | 3.1 | 3.2 | 5.4 | 0.7 | 1.4 | 0.9 | 0.9 | 0.8 | 0.9 | 1.3 | 0.8 | 1.5 | 1.6 | 1.6 | 0.5 | 0.6 | 0.9 | 0.3 | 2.7 | — | — | — | — | 6.2 | 3.6 | 4.8 | 11.4 | 4.6 | 1.4 | 1.6 | 3.2 | 1.8 | 3.0 | — | 2.5 | 2.5 | — | 3.1 | 1.1 | 1.0 | 1.0 | 1.1 | 0.8 | 4.4 | 0.7 | 3.6 |
| 2013 | 0.8 | 1.2 | 0.8 | 0.6 | 0.7 | — | 0.7 | 1.0 | 1.4 | 1.4 | 1.6 | 1.4 | 0.6 | 4.0 | 2.5 | 6.7 | 0.2 | 1.6 | 1.0 | 1.1 | 0.8 | 0.9 | 0.9 | 0.9 | 1.6 | 1.1 | 1.5 | 0.7 | 0.9 | 0.9 | 0.3 | — | — | — | — | — | — | 3.5 | 6.7 | 11.1 | 4.3 | 1.3 | 1.9 | 1.6 | 1.1 | 2.3 | — | 2.2 | 2.3 | — | 3.0 | 1.1 | 1.0 | 1.1 | 1.0 | 0.9 | 4.5 | 0.8 | 3.5 |
| 2012 | 0.8 | 1.2 | 0.9 | 0.8 | 0.9 | — | 1.0 | 1.1 | 1.2 | 1.5 | 1.6 | 1.4 | 0.7 | 4.8 | 3.4 | 6.8 | — | 2.8 | 1.9 | 1.2 | 1.1 | 0.7 | 0.8 | 1.0 | 1.3 | 1.1 | 1.9 | 0.6 | 0.5 | 1.0 | 0.3 | — | — | — | — | — | 5.1 | 3.6 | 6.6 | 11.3 | 5.4 | 1.7 | 1.5 | 2.7 | 1.4 | 5.0 | — | 2.2 | 2.2 | 4.3 | 3.1 | 1.1 | 1.1 | 1.1 | 1.1 | 0.9 | 4.7 | 0.8 | 3.7 |
| 2011 | 0.9 | 1.3 | 0.9 | 0.8 | 0.9 | — | 0.9 | 0.9 | 1.1 | 1.7 | 2.0 | 1.8 | 0.8 | 4.9 | — | 7.0 | 0.8 | 0.7 | 0.8 | 1.1 | 1.1 | 0.9 | 0.8 | 0.8 | 1.5 | 1.0 | 1.7 | 0.6 | 2.2 | 1.0 | 0.9 | — | — | 1.3 | — | — | — | 3.9 | 6.1 | 11.2 | 4.9 | 1.4 | 1.8 | 3.3 | 1.5 | 3.5 | — | 2.4 | 2.3 | 4.1 | 3.1 | 1.2 | 1.1 | 1.2 | 1.1 | 1.0 | 4.7 | 0.9 | 3.8 |
| 2010 | 1.0 | 1.3 | 0.9 | 0.9 | 0.9 | — | 0.7 | 1.2 | 1.2 | 1.6 | 2.2 | 1.7 | 0.7 | 5.3 | — | 7.1 | 2.0 | 1.0 | 0.7 | 1.4 | 1.0 | 1.0 | 0.8 | 1.0 | 1.4 | 1.3 | 2.0 | 0.7 | 0.6 | 1.2 | 0.6 | 2.8 | — | — | — | — | 4.3 | 4.2 | 7.3 | 11.6 | 4.1 | 1.5 | 1.8 | 2.4 | 2.1 | 5.9 | 4.8 | 1.9 | 2.3 | 4.2 | 3.2 | 1.2 | 1.1 | 1.2 | 1.2 | 1.1 | 4.7 | 1.0 | 3.7 |
* = 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
🇪🇺 Europe
2.22
100.0%
Key Insights
Best Performer
EU
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