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electricsheepeurope/europe-owid-exposure-to-outdoor-air-pollution-in-urban-areas

Exposure To Outdoor Air Pollution In Urban Areas | Europe (Our World in Data) 🇪🇺 430 observations · 43 Europe countries · 2010–2019 · Repackaged by Electric Sheep Europe TL;DR This dataset contains 430 observations of Exposure To Outdoor Air Pollution In Urban Areas data across 43 Europe countries, spanning 2010–2019. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Exposure To Outdoor Air… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-exposure-to-outdoor-air-pollution-in-urban-areas.

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Dataset Card

Exposure To Outdoor Air Pollution In Urban Areas | Europe (Our World in Data)

🇪🇺 430 observations · 43 Europe countries · 2010–2019 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years license

TL;DR

This dataset contains 430 observations of Exposure To Outdoor Air Pollution In Urban Areas data across 43 Europe countries, spanning 2010–2019.

About the source

  • —Source: Our World in Data
  • —Publisher: Our World in Data
  • —License: cc-by-4.0
  • —Topic: Exposure To Outdoor Air Pollution In Urban Areas

Geographic coverage

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

CountryRowsFirst yearLast year
AND1020102019
AUT1020102019
BEL1020102019
BGR1020102019
BIH1020102019
BLR1020102019
CHE1020102019
CZE1020102019
DEU1020102019
DNK1020102019
ESP1020102019
EST1020102019
FIN1020102019
FRA1020102019
GBR1020102019
...28 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Andorra
country_iso3string—AND
yearint64—2010
Annual mean levels of fine particulate matter (population-weighted), by location (micrograms per cubic meter) - Urbanfloat64—11.88

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-exposure-to-outdoor-air-pollution-in-urban-areas")
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="Annual mean levels of fine particulate matter (population-weighted), by location (micrograms per cubic meter) - Urban")

Citation

bibtex
@misc{europe_owid_exposure_to_outdoor_air_pollution_in_urban_areas_2019,
  title        = {Exposure To Outdoor Air Pollution In Urban Areas | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2019},
  url          = {https://ourworldindata.org/grapher/exposure-to-outdoor-air-pollution-in-urban-areas},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-exposure-to-outdoor-air-pollution-in-urban-areas}}
}

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 2026-06-04 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/exposure-to-outdoor-air-pollution-in-urban-areas