electricsheepeurope/europe-owid-natural-disasters-people-affected

Natural Disasters People Affected | Europe (Our World in Data)

🇪🇺 1,035 observations · 40 Europe countries · 1904–2025 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

TL;DR

This dataset contains 1,035 observations of Natural Disasters People Affected 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 People Affected

Geographic coverage

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

Schema

Data quality & caveats

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

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-natural-disasters-people-affected")
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="Droughts")

Citation

@misc{europe_owid_natural_disasters_people_affected_2025,
  title        = {Natural Disasters People Affected | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2025},
  url          = {https://ourworldindata.org/grapher/natural-disasters-people-affected},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-natural-disasters-people-affected}}
}

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 2026-06-11 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/natural-disasters-people-affected