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electricsheepasia/asia-who-proportion-of-population-with-primary-reliance-on-polluting

Proportion of population with primary reliance on polluting fuels and technologies for cooking (%) | Asia (WHO GHO) 🌏 4,692 observations Β· 46 Asia countries Β· 1990–2023 Β· Repackaged by Electric Sheep Asia TL;DR This dataset contains 4,692 observations of Proportion of population with primary reliance on polluting fuels and technologies for cooking (%) data across 46 Asia countries, spanning 1990–2023, covering 1 distinct indicators. About the… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-who-proportion-of-population-with-primary-reliance-on-polluting.

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Dataset Card

Proportion of population with primary reliance on polluting fuels and technologies for cooking (%) | Asia (WHO GHO)

🌏 4,692 observations Β· 46 Asia countries Β· 1990–2023 Β· Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years indicators license

TL;DR

This dataset contains 4,692 observations of Proportion of population with primary reliance on polluting fuels and technologies for cooking (%) data across 46 Asia countries, spanning 1990–2023, 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: Proportion of population with primary reliance on polluting fuels and technologies for cooking (%)

Geographic coverage

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

CountryRowsFirst yearLast year
AFG10219902023
ARE10219902023
ARM10219902023
AZE10219902023
BGD10219902023
BHR10219902023
BRN10219902023
BTN10219902023
CHN10219902023
CYP10219902023
GEO10219902023
IDN10219902023
IND10219902023
IRN10219902023
IRQ10219902023
...31 more countries

Indicators (sample)

  • β€”PHE_HHAIR_PROP_POP_POLLUTING_FUELS

Schema

ColumnTypeDescriptionExample
indicator_codeobjectβ€”PHE_HHAIR_PROP_POP_POLLUTING_FUELS
country_iso3objectβ€”AFG
who_regionobjectβ€”EMR
yearint64β€”1990
dim1_typeobjectβ€”RESIDENCEAREATYPE
dim1objectβ€”RESIDENCEAREATYPE_RUR
value_numericfloat64β€”99.9
value_lowfloat64β€”94.6
value_highfloat64β€”100.0
value_displayobjectβ€”99.9 [94.6 - 100]
last_updatedobjectβ€”2025-07-29T17:13:44.5+02:00

Disaggregation dimensions

The following columns provide disaggregation dimensions:

  • β€”`dim1_type` (1 unique values): RESIDENCEAREATYPE
  • β€”`dim1` (3 unique values): RESIDENCEAREATYPE_RUR, RESIDENCEAREATYPE_TOTL, RESIDENCEAREATYPE_URB

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-who-proportion-of-population-with-primary-reliance-on-polluting")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python
indonesia = df[df["country_iso3"] == "IDN"]

Time-series for a single indicator

python
sample = (df[df["indicator_code"] == "PHE_HHAIR_PROP_POP_POLLUTING_FUELS"]
          .sort_values("year"))
sample.plot(x="year", y="value_numeric", title="PHE_HHAIR_PROP_POP_POLLUTING_FUELS")

Pivot to country Γ— year matrix

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

Citation

bibtex
@misc{asia_who_proportion_of_population_with_primary_reliance_on_polluting_2023,
  title        = {Proportion of population with primary reliance on polluting fuels and technologies for cooking (%) | 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-proportion-of-population-with-primary-reliance-on-polluting}}
}

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 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