Datasetpublic

electricsheepeurope/europe-owid-lung-cancer-deaths-men-women

Lung Cancer Deaths Men Women | Europe (Our World in Data) 🇪🇺 2,046 observations · 39 Europe countries · 1950–2023 · Repackaged by Electric Sheep Europe TL;DR This dataset contains 2,046 observations of Lung Cancer Deaths Men Women data across 39 Europe countries, spanning 1950–2023. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Lung Cancer Deaths Men Women Geographic coverage… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-lung-cancer-deaths-men-women.

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Dataset Card

Lung Cancer Deaths Men Women | Europe (Our World in Data)

🇪🇺 2,046 observations · 39 Europe countries · 1950–2023 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

TL;DR

This dataset contains 2,046 observations of Lung Cancer Deaths Men Women data across 39 Europe countries, spanning 1950–2023.

About the source

—Source: Our World in Data
—Publisher: Our World in Data
—License: cc-by-4.0
—Topic: Lung Cancer Deaths Men Women

Geographic coverage

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

Country	Rows	First year	Last year
`NLD`	74	1950	2023
`ESP`	73	1951	2023
`CHE`	73	1951	2023
`FRA`	73	1950	2022
`IRL`	73	1950	2022
`SWE`	73	1951	2023
`ITA`	72	1951	2022
`DNK`	72	1951	2022
`GBR`	72	1950	2021
`ISL`	72	1951	2022
`FIN`	71	1952	2022
`HUN`	69	1955	2023
`AUT`	69	1955	2023
`BEL`	68	1954	2021
`NOR`	66	1951	2016
...	24 more countries

Schema

Column	Type	Description	Example
`country_name`	`string`	—	`Albania`
`country_iso3`	`string`	—	`ALB`
`year`	`int64`	—	`1987`
`Men`	`float64`	—	`38.988247`
`Women`	`float64`	—	`5.954391`
`World region according to OWID`	`string`	—	`Europe`

Usage

python

from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-lung-cancer-deaths-men-women")
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="Men")

Citation

bibtex

@misc{europe_owid_lung_cancer_deaths_men_women_2023,
  title        = {Lung Cancer Deaths Men Women | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2023},
  url          = {https://ourworldindata.org/grapher/lung-cancer-deaths-men-women},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-lung-cancer-deaths-men-women}}
}

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 2026-06-06 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/lung-cancer-deaths-men-women