electricsheepeurope/europe-who-ambient-air-pollution-attributable-deaths
Ambient air pollution attributable deaths | Europe (WHO GHO) ๐ช๐บ 7,020 observations ยท 39 Europe countries ยท 2010โ2019 ยท Repackaged by Electric Sheep Europe TL;DR This dataset contains 7,020 observations of Ambient air pollution attributable deaths data across 39 Europe countries, spanning 2010โ2019, covering 1 distinct indicators. About the source Source: WHO Global Health Observatory Publisher: World Health Organization License: cc-by-4.0โฆ See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-who-ambient-air-pollution-attributable-deaths.
Ambient air pollution attributable deaths | Europe (WHO GHO)
๐ช๐บ 7,020 observations ยท 39 Europe countries ยท 2010โ2019 ยท Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)
TL;DR
This dataset contains 7,020 observations of Ambient air pollution attributable deaths data across 39 Europe countries, spanning 2010โ2019, covering 1 distinct indicators.
About the source
- Source: WHO Global Health Observatory
- Publisher: World Health Organization
- License: cc-by-4.0
- Topic: Ambient air pollution attributable deaths
Geographic coverage
39 Europe countries ยท top rows shown below, sorted by row count:
Indicators (sample)
AIR_41
Schema
Disaggregation dimensions
The following columns provide disaggregation dimensions:
- `dim1_type` (1 unique values):
SEX - `dim1` (3 unique values):
SEX_BTSX,SEX_FMLE,SEX_MLE - `dim2_type` (1 unique values):
GHECAUSE - `dim2` (6 unique values):
GHECAUSE_GHE000000,GHECAUSE_GHE000390,GHECAUSE_GHE000680,GHECAUSE_GHE001130,GHECAUSE_GHE001140
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepeurope/europe-who-ambient-air-pollution-attributable-deaths")
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[df["indicator_code"] == "AIR_41"]
.sort_values("year"))
sample.plot(x="year", y="value_numeric", title="AIR_41")Pivot to country ร year matrix
matrix = (df[df["indicator_code"] == "AIR_41"]
.pivot_table(index="year", columns="country_iso3", values="value_numeric"))
print(matrix.tail())Citation
@misc{europe_who_ambient_air_pollution_attributable_deaths_2019,
title = {Ambient air pollution attributable deaths | Europe (WHO GHO)},
author = {World Health Organization},
year = {2019},
url = {https://www.who.int/data/gho},
publisher = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-who-ambient-air-pollution-attributable-deaths}}
}License
Released under cc-by-4.0.
Original data ยฉ 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
