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electricsheepeurope/europe-who-ambient-air-pollution-attributable-dalys-air90

Ambient air pollution attributable DALYs (per 100 000 population, age-standardized) | Europe (WHO GHO) ๐Ÿ‡ช๐Ÿ‡บ 7,020 observations ยท 39 Europe countries ยท 2010โ€“2019 ยท Repackaged by Electric Sheep Europe TL;DR This dataset contains 7,020 observations of Ambient air pollution attributable DALYs (per 100 000 population, age-standardized) data across 39 Europe countries, spanning 2010โ€“2019, covering 1 distinct indicators. About the source Source:โ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-who-ambient-air-pollution-attributable-dalys-air90.

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Dataset Card

Ambient air pollution attributable DALYs (per 100 000 population, age-standardized) | Europe (WHO GHO)

๐Ÿ‡ช๐Ÿ‡บ 7,020 observations ยท 39 Europe countries ยท 2010โ€“2019 ยท Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years indicators license

TL;DR

This dataset contains 7,020 observations of Ambient air pollution attributable DALYs (per 100 000 population, age-standardized) data across 39 Europe countries, spanning 2010โ€“2019, covering 1 distinct indicators.

About the source

  • โ€”Source: WHO Global Health Observatory
  • โ€”Publisher: World Health Organization
  • โ€”License: cc-by-4.0
  • โ€”Topic: Ambient air pollution attributable DALYs (per 100 000 population, age-standardized)

Geographic coverage

39 Europe countries ยท top rows shown below, sorted by row count:

CountryRowsFirst yearLast year
ALB18020102019
AUT18020102019
BEL18020102019
BGR18020102019
BIH18020102019
BLR18020102019
CHE18020102019
CZE18020102019
DEU18020102019
DNK18020102019
ESP18020102019
EST18020102019
FIN18020102019
FRA18020102019
GBR18020102019
...24 more countries

Indicators (sample)

  • โ€”AIR_90

Schema

ColumnTypeDescriptionExample
indicator_codeobjectโ€”AIR_90
country_iso3objectโ€”ALB
who_regionobjectโ€”EUR
yearint64โ€”2010
dim1_typeobjectโ€”SEX
dim1objectโ€”SEX_BTSX
dim2_typeobjectโ€”GHECAUSE
dim2objectโ€”GHECAUSE_GHE000000
value_numericfloat64โ€”1082.913
value_lowfloat64โ€”832.236
value_highfloat64โ€”1340.034
value_displayobjectโ€”1083 [832-1340]
last_updatedobjectโ€”2024-10-03T16:01:00.947+02:00

Disaggregation dimensions

The following columns provide disaggregation dimensions:

  • โ€”`dim1_type` (1 unique values): SEX
  • โ€”`dim1` (3 unique values): SEX_BTSX, SEX_FMLE, SEX_MLE
  • โ€”`dim2_type` (1 unique values): GHECAUSE
  • โ€”`dim2` (6 unique values): GHECAUSE_GHE000000, GHECAUSE_GHE000390, GHECAUSE_GHE000680, GHECAUSE_GHE001130, GHECAUSE_GHE001140

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-who-ambient-air-pollution-attributable-dalys-air90")
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"] == "AIR_90"]
          .sort_values("year"))
sample.plot(x="year", y="value_numeric", title="AIR_90")

Pivot to country ร— year matrix

python
matrix = (df[df["indicator_code"] == "AIR_90"]
          .pivot_table(index="year", columns="country_iso3", values="value_numeric"))
print(matrix.tail())

Citation

bibtex
@misc{europe_who_ambient_air_pollution_attributable_dalys_air90_2019,
  title        = {Ambient air pollution attributable DALYs  (per 100 000 population, age-standardized) | 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-dalys-air90}}
}

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