CoolFace
Datasetpublic

electricsheepeurope/europe-owid-natural-disasters-deaths

Natural Disasters Deaths | Europe (Our World in Data) πŸ‡ͺπŸ‡Ί 1,035 observations Β· 40 Europe countries Β· 1904–2025 Β· Repackaged by Electric Sheep Europe TL;DR This dataset contains 1,035 observations of Natural Disasters Deaths data across 40 Europe countries, spanning 1904–2025. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Natural Disasters Deaths Geographic coverage 40 Europe… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-natural-disasters-deaths.

sourceHugging Facecc-by-4.0updated 4mo agoView on Hugging Face
0likes12downloads
Dataset Card

Natural Disasters Deaths | Europe (Our World in Data)

πŸ‡ͺπŸ‡Ί 1,035 observations Β· 40 Europe countries Β· 1904–2025 Β· Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years license

TL;DR

This dataset contains 1,035 observations of Natural Disasters Deaths data across 40 Europe countries, spanning 1904–2025.

About the source

Geographic coverage

40 Europe countries Β· top rows shown below, sorted by row count:

CountryRowsFirst yearLast year
ITA7119052025
GRC6319042025
FRA6119092025
ESP5519072025
GBR4619202025
ROU4519082025
BEL4019262024
CHE4019512025
POL3819282024
PRT3819092025
ALB3519052025
AUT3419522024
RUS3219922025
DEU3119902024
NLD3019162024
...25 more countries

Schema

ColumnTypeDescriptionExample
country_namestringβ€”Albania
country_iso3stringβ€”ALB
yearint64β€”1905
Droughtsfloat64β€”0.0
Earthquakesfloat64β€”120.0
Volcanoesfloat64β€”0.0
Floodsfloat64β€”11.0
Landslidesfloat64β€”57.0
Stormsfloat64β€”6.0
Wildfiresfloat64β€”0.0
Extreme temperaturesfloat64β€”68.0
All disastersint64β€”120

Data quality & caveats

  • β€”Droughts column has 94.4% null values (filtered to non-null in this dataset).

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-natural-disasters-deaths")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python
germany = df[df["country_iso3"] == "DEU"]

Time-series for a single indicator

python
sample = df.sort_values("year")
sample.plot(x="year", y="Droughts")

Citation

bibtex
@misc{europe_owid_natural_disasters_deaths_2025,
  title        = {Natural Disasters Deaths | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2025},
  url          = {https://ourworldindata.org/grapher/natural-disasters-deaths},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-natural-disasters-deaths}}
}

License

Released under cc-by-4.0.

Original data Β© 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 2026-06-11 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/natural-disasters-deaths