country_name stringclasses 33
values | country_iso3 stringclasses 33
values | year int64 1.97k 2.02k | Unknown float64 0 30 | Hijacking float64 0 4 | Hostage barricading float64 0 6 | Unarmed assault float64 0 10 | Infrastructure attack float64 0 123 | Hostage kidnapping float64 0 31 | Assassination float64 0 39 | Armed assault float64 0 79 | Bombing float64 0 233 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Albania | ALB | 1,970 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Albania | ALB | 1,971 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Albania | ALB | 1,972 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Albania | ALB | 1,973 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Albania | ALB | 1,974 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Albania | ALB | 1,975 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Albania | ALB | 1,976 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Albania | ALB | 1,977 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Albania | ALB | 1,978 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Albania | ALB | 1,979 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Albania | ALB | 1,980 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Albania | ALB | 1,981 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
Albania | ALB | 1,982 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Albania | ALB | 1,983 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Albania | ALB | 1,984 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Albania | ALB | 1,985 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Albania | ALB | 1,986 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Albania | ALB | 1,987 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Albania | ALB | 1,988 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Albania | ALB | 1,989 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Albania | ALB | 1,990 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
Albania | ALB | 1,991 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
Albania | ALB | 1,992 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 0 |
Albania | ALB | 1,994 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
Albania | ALB | 1,995 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Albania | ALB | 1,996 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 |
Albania | ALB | 1,997 | 1 | 0 | 0 | 0 | 1 | 1 | 8 | 11 | 19 |
Albania | ALB | 1,998 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
Albania | ALB | 1,999 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 |
Albania | ALB | 2,000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
Albania | ALB | 2,001 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
Albania | ALB | 2,002 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Albania | ALB | 2,003 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
Albania | ALB | 2,004 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Albania | ALB | 2,005 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Albania | ALB | 2,006 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Albania | ALB | 2,007 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Albania | ALB | 2,008 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Albania | ALB | 2,009 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
Albania | ALB | 2,010 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Albania | ALB | 2,011 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Albania | ALB | 2,012 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Albania | ALB | 2,013 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
Albania | ALB | 2,014 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
Albania | ALB | 2,015 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 |
Albania | ALB | 2,016 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
Albania | ALB | 2,017 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
Albania | ALB | 2,018 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Albania | ALB | 2,019 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
Albania | ALB | 2,020 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
Albania | ALB | 2,021 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
Andorra | AND | 1,970 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 1,971 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 1,972 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 1,973 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 1,974 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
Andorra | AND | 1,975 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 1,976 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 1,977 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 1,978 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 1,979 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 1,980 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 1,981 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 1,982 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 1,983 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 1,984 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 1,985 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 1,986 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 1,987 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 1,988 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 1,989 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 1,990 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 1,991 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 1,992 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 1,994 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 1,995 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 1,996 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 1,997 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 1,998 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 1,999 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 2,000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 2,001 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 2,002 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 2,003 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 2,004 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 2,005 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 2,006 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 2,007 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 2,008 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 2,009 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 2,010 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 2,011 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 2,012 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 2,013 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 2,014 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 2,015 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 2,016 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 2,017 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 2,018 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Andorra | AND | 2,019 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Terrorist Attacks By Method | Europe (Our World in Data)
🇪🇺 1,693 observations · 40 Europe countries · 1970–2021 · Repackaged by Electric Sheep Europe
TL;DR
This dataset contains 1,693 observations of Terrorist Attacks By Method data across 40 Europe countries, spanning 1970–2021.
About the source
- Source: Our World in Data
- Publisher: Our World in Data
- License: cc-by-4.0
- Topic: Terrorist Attacks By Method
Geographic coverage
40 Europe countries · top rows shown below, sorted by row count:
| Country | Rows | First year | Last year |
|---|---|---|---|
ALB |
51 | 1970 | 2021 |
AND |
51 | 1970 | 2021 |
AUT |
51 | 1970 | 2021 |
BEL |
51 | 1970 | 2021 |
BGR |
51 | 1970 | 2021 |
CHE |
51 | 1970 | 2021 |
DNK |
51 | 1970 | 2021 |
ESP |
51 | 1970 | 2021 |
SWE |
51 | 1970 | 2021 |
VAT |
51 | 1970 | 2021 |
FRA |
51 | 1970 | 2021 |
FIN |
51 | 1970 | 2021 |
GBR |
51 | 1970 | 2021 |
IRL |
51 | 1970 | 2021 |
HUN |
51 | 1970 | 2021 |
| ... | 25 more countries |
Schema
| Column | Type | Description | Example |
|---|---|---|---|
country_name |
string |
— | Albania |
country_iso3 |
string |
— | ALB |
year |
int64 |
— | 1970 |
Unknown |
float64 |
— | 0.0 |
Hijacking |
float64 |
— | 0.0 |
Hostage barricading |
float64 |
— | 0.0 |
Unarmed assault |
float64 |
— | 0.0 |
Infrastructure attack |
float64 |
— | 0.0 |
Hostage kidnapping |
float64 |
— | 0.0 |
Assassination |
float64 |
— | 0.0 |
Armed assault |
float64 |
— | 0.0 |
Bombing |
float64 |
— | 0.0 |
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepeurope/europe-owid-terrorist-attacks-by-method")
df = ds["train"].to_pandas()
print(df.head())
Filter to one country
germany = df[df["country_iso3"] == "DEU"]
Time-series for a single indicator
sample = df.sort_values("year")
sample.plot(x="year", y="Unknown")
Citation
@misc{europe_owid_terrorist_attacks_by_method_2021,
title = {Terrorist Attacks By Method | Europe (Our World in Data)},
author = {Our World in Data},
year = {2021},
url = {https://ourworldindata.org/grapher/terrorist-attacks-by-method},
publisher = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-terrorist-attacks-by-method}}
}
License
Released under cc-by-4.0.
Original data © Our World in Data. When using this dataset, please cite both the original source above and the Electric Sheep Europe repackaging.
About Electric Sheep
Electric Sheep Europe is part of the Electric Sheep mission: a unified, ML-ready data layer for Europe on HuggingFace. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.
Browse the full collection: huggingface.co/electricsheepeurope
Provenance: ingested 2026-06-12 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/terrorist-attacks-by-method
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