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electricsheepeurope/europe-who-alcohol-0000001400

Alcohol, recorded per capita (15+) consumption (in litres of pure alcohol), by beverage type | Europe (WHO GHO) πŸ‡ͺπŸ‡Ί 9,866 observations Β· 40 Europe countries Β· 1960–2022 Β· Repackaged by Electric Sheep Europe TL;DR This dataset contains 9,866 observations of Alcohol, recorded per capita (15+) consumption (in litres of pure alcohol), by beverage type data across 40 Europe countries, spanning 1960–2022, covering 1 distinct indicators. About the… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-who-alcohol-0000001400.

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Dataset Card

Alcohol, recorded per capita (15+) consumption (in litres of pure alcohol), by beverage type | Europe (WHO GHO)

πŸ‡ͺπŸ‡Ί 9,866 observations Β· 40 Europe countries Β· 1960–2022 Β· Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years indicators license

TL;DR

This dataset contains 9,866 observations of Alcohol, recorded per capita (15+) consumption (in litres of pure alcohol), by beverage type data across 40 Europe countries, spanning 1960–2022, covering 1 distinct indicators.

About the source

  • β€”Source: WHO Global Health Observatory
  • β€”Publisher: World Health Organization
  • β€”License: cc-by-4.0
  • β€”Topic: Alcohol, recorded per capita (15+) consumption (in litres of pure alcohol), by beverage type

Geographic coverage

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

CountryRowsFirst yearLast year
MLT31019612022
PRT31019612022
ISL31019612022
FIN31019612022
IRL29919632022
FRA29119612022
SWE29119612022
GBR29119612022
NOR29119612022
SVK28919612022
ESP28719622022
CHE28519662022
GRC28319632022
BGR28319632022
BEL28319632022
...25 more countries

Indicators (sample)

  • β€”SA_0000001400

Schema

ColumnTypeDescriptionExample
indicator_codeobjectβ€”SA_0000001400
country_iso3objectβ€”ALB
who_regionobjectβ€”EUR
yearint64β€”1962
dim1_typeobjectβ€”ALCOHOLTYPE
dim1objectβ€”ALCOHOLTYPE_SA_BEER
value_numericfloat64β€”0.49
value_lowobjectβ€”β€”
value_highobjectβ€”β€”
value_displayobjectβ€”0.49
last_updatedobjectβ€”2018-05-11T09:12:02+02:00

Disaggregation dimensions

The following columns provide disaggregation dimensions:

  • β€”`dim1_type` (1 unique values): ALCOHOLTYPE
  • β€”`dim1` (5 unique values): ALCOHOLTYPE_SA_BEER, ALCOHOLTYPE_SA_SPIRITS, ALCOHOLTYPE_SA_TOTAL, ALCOHOLTYPE_SA_WINE, ALCOHOLTYPE_SA_OTHER_ALCOHOL

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-who-alcohol-0000001400")
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"] == "SA_0000001400"]
          .sort_values("year"))
sample.plot(x="year", y="value_numeric", title="SA_0000001400")

Pivot to country Γ— year matrix

python
matrix = (df[df["indicator_code"] == "SA_0000001400"]
          .pivot_table(index="year", columns="country_iso3", values="value_numeric"))
print(matrix.tail())

Citation

bibtex
@misc{europe_who_alcohol_0000001400_2022,
  title        = {Alcohol, recorded per capita (15+) consumption (in litres of pure alcohol), by beverage type | Europe (WHO GHO)},
  author       = {World Health Organization},
  year         = {2022},
  url          = {https://www.who.int/data/gho},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-who-alcohol-0000001400}}
}

License

Released under cc-by-4.0.

Original data Β© 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 2026-05-29 via the Electric Sheep pipeline. Source URL: https://www.who.int/data/gho