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electricsheepeurope/europe-who-average-death-rate-due-to-natural-disasters

Average death rate due to natural disasters (per 100 000 population) | Europe (WHO GHO) 🇪🇺 292 observations · 31 Europe countries · 2005–2021 · Repackaged by Electric Sheep Europe TL;DR This dataset contains 292 observations of Average death rate due to natural disasters (per 100 000 population) data across 31 Europe countries, spanning 2005–2021, covering 1 distinct indicators. About the source Source: WHO Global Health Observatory… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-who-average-death-rate-due-to-natural-disasters.

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Dataset Card

Average death rate due to natural disasters (per 100 000 population) | Europe (WHO GHO)

🇪🇺 292 observations · 31 Europe countries · 2005–2021 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years indicators license

TL;DR

This dataset contains 292 observations of Average death rate due to natural disasters (per 100 000 population) data across 31 Europe countries, spanning 2005–2021, covering 1 distinct indicators.

About the source

Geographic coverage

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

CountryRowsFirst yearLast year
BGR1720052021
UKR1720052021
SVN1720052021
ROU1720052021
CHE1620052020
ALB1620052020
AUT1620052020
MNE1620052021
GBR1620052020
SWE1620052020
SRB1520052021
ESP1520052019
FIN1520052019
EST1420052018
RUS1320092021
...16 more countries

Indicators (sample)

  • —SDGDISASTER

Schema

ColumnTypeDescriptionExample
indicator_codeobject—SDGDISASTER
country_iso3object—ALB
who_regionobject—EUR
yearint64—2005
value_numericfloat64—0.23082
value_lowobject——
value_highobject——
value_displayobject—0.23
last_updatedobject—2024-03-18T17:20:08.717+01:00

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-who-average-death-rate-due-to-natural-disasters")
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[df["indicator_code"] == "SDGDISASTER"]
          .sort_values("year"))
sample.plot(x="year", y="value_numeric", title="SDGDISASTER")

Pivot to country × year matrix

python
matrix = (df[df["indicator_code"] == "SDGDISASTER"]
          .pivot_table(index="year", columns="country_iso3", values="value_numeric"))
print(matrix.tail())

Citation

bibtex
@misc{europe_who_average_death_rate_due_to_natural_disasters_2021,
  title        = {Average death rate due to natural disasters (per 100 000 population) | Europe (WHO GHO)},
  author       = {World Health Organization},
  year         = {2021},
  url          = {https://www.who.int/data/gho},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-who-average-death-rate-due-to-natural-disasters}}
}

License

Released under cc-by-4.0.

Original data © World Health Organization. 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 2026-05-31 via the Electric Sheep pipeline. Source URL: https://www.who.int/data/gho