electricsheepasia/asia-who-alcohol-0000001400
Alcohol, recorded per capita (15+) consumption (in litres of pure alcohol), by beverage type | Asia (WHO GHO) 🌏 11,937 observations · 46 Asia countries · 1961–2022 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 11,937 observations of Alcohol, recorded per capita (15+) consumption (in litres of pure alcohol), by beverage type data across 46 Asia countries, spanning 1961–2022, covering 1 distinct indicators. About the source… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-who-alcohol-0000001400.
Alcohol, recorded per capita (15+) consumption (in litres of pure alcohol), by beverage type | Asia (WHO GHO)
🌏 11,937 observations · 46 Asia countries · 1961–2022 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)
TL;DR
This dataset contains 11,937 observations of Alcohol, recorded per capita (15+) consumption (in litres of pure alcohol), by beverage type data across 46 Asia countries, spanning 1961–2022, covering 1 distinct indicators.
About the source
- Source: WHO Global Health Observatory
- Publisher: World Health Organization
- License: cc-by-4.0
- Topic: Alcohol, recorded per capita (15+) consumption (in litres of pure alcohol), by beverage type
Geographic coverage
46 Asia countries · top rows shown below, sorted by row count:
Indicators (sample)
SA_0000001400
Schema
Disaggregation dimensions
The following columns provide disaggregation dimensions:
- `dim1_type` (1 unique values):
ALCOHOLTYPE - `dim1` (5 unique values):
ALCOHOLTYPE_SA_BEER,ALCOHOLTYPE_SA_OTHER_ALCOHOL,ALCOHOLTYPE_SA_SPIRITS,ALCOHOLTYPE_SA_TOTAL,ALCOHOLTYPE_SA_WINE
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepasia/asia-who-alcohol-0000001400")
df = ds["train"].to_pandas()
print(df.head())Filter to one country
indonesia = df[df["country_iso3"] == "IDN"]Time-series for a single indicator
sample = (df[df["indicator_code"] == "SA_0000001400"]
.sort_values("year"))
sample.plot(x="year", y="value_numeric", title="SA_0000001400")Pivot to country × year matrix
matrix = (df[df["indicator_code"] == "SA_0000001400"]
.pivot_table(index="year", columns="country_iso3", values="value_numeric"))
print(matrix.tail())Citation
@misc{asia_who_alcohol_0000001400_2022,
title = {Alcohol, recorded per capita (15+) consumption (in litres of pure alcohol), by beverage type | Asia (WHO GHO)},
author = {World Health Organization},
year = {2022},
url = {https://www.who.int/data/gho},
publisher = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-who-alcohol-0000001400}}
}License
Released under cc-by-4.0.
Original data © World Health Organization. When using this dataset, please cite both the original source above and the Electric Sheep Asia repackaging.
About Electric Sheep
Electric Sheep Asia is part of the Electric Sheep mission: a unified, ML-ready data layer for Asia 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/electricsheepasia
Provenance: ingested 2026-05-29 via the Electric Sheep pipeline. Source URL: https://www.who.int/data/gho
