electricsheepasia/asia-who-population-with-primary-reliance-on-fuels-and-technologies

Population with primary reliance on fuels and technologies for cooking, by fuel type (in millions) | Asia (WHO GHO)

🌏 23,868 observations · 39 Asia countries · 1990–2023 · Repackaged by Electric Sheep Asia

TL;DR

This dataset contains 23,868 observations of Population with primary reliance on fuels and technologies for cooking, by fuel type (in millions) data across 39 Asia countries, spanning 1990–2023, covering 1 distinct indicators.

About the source

• Source: WHO Global Health Observatory
• Publisher: World Health Organization
• License: cc-by-4.0
• Topic: Population with primary reliance on fuels and technologies for cooking, by fuel type (in millions)

Geographic coverage

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

Country	Rows	First year	Last year
AFG	612	1990	2023
ARE	612	1990	2023
ARM	612	1990	2023
AZE	612	1990	2023
BGD	612	1990	2023
BTN	612	1990	2023
CHN	612	1990	2023
GEO	612	1990	2023
IDN	612	1990	2023
IND	612	1990	2023
IRN	612	1990	2023
IRQ	612	1990	2023
JOR	612	1990	2023
KAZ	612	1990	2023
KGZ	612	1990	2023
...	24 more countries

Indicators (sample)

• PHE_HHAIR_POP_CATEGORY_FUELS

Schema

Column	Type	Description	Example
indicator_code	object	—	PHE_HHAIR_POP_CATEGORY_FUELS
country_iso3	object	—	AFG
who_region	object	—	EMR
year	int64	—	1990
dim1_type	object	—	RESIDENCEAREATYPE
dim1	object	—	RESIDENCEAREATYPE_RUR
dim2_type	object	—	HOUSEHOLDCOOKINGFUEL
dim2	object	—	HOUSEHOLDCOOKINGFUEL_FUEL_BIOMASS
value_numeric	float64	—	9.295406908
value_low	float64	—	4.310638137
value_high	float64	—	9.494797658
value_display	object	—	9.3 [4.31 - 9.49]
last_updated	object	—	2025-07-29T15:39:26.227+02:00

Disaggregation dimensions

The following columns provide disaggregation dimensions:

• dim1_type (1 unique values): RESIDENCEAREATYPE
• dim1 (3 unique values): RESIDENCEAREATYPE_RUR, RESIDENCEAREATYPE_TOTL, RESIDENCEAREATYPE_URB
• dim2_type (1 unique values): HOUSEHOLDCOOKINGFUEL
• dim2 (6 unique values): HOUSEHOLDCOOKINGFUEL_FUEL_BIOMASS, HOUSEHOLDCOOKINGFUEL_FUEL_CHARCOAL, HOUSEHOLDCOOKINGFUEL_FUEL_COAL, HOUSEHOLDCOOKINGFUEL_FUEL_ELECTRICITY, HOUSEHOLDCOOKINGFUEL_FUEL_GAS

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-who-population-with-primary-reliance-on-fuels-and-technologies")
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"] == "PHE_HHAIR_POP_CATEGORY_FUELS"]
          .sort_values("year"))
sample.plot(x="year", y="value_numeric", title="PHE_HHAIR_POP_CATEGORY_FUELS")

Pivot to country × year matrix

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

Citation

@misc{asia_who_population_with_primary_reliance_on_fuels_and_technologies_2023,
  title        = {Population with primary reliance on fuels and technologies for cooking, by fuel type (in millions) | Asia (WHO GHO)},
  author       = {World Health Organization},
  year         = {2023},
  url          = {https://www.who.int/data/gho},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-who-population-with-primary-reliance-on-fuels-and-technologies}}
}

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

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