Datasets:

electricsheepasia
/

asia-owid-access-to-clean-fuels-and-technologies-for-cooking

country_name stringclasses 37 values	country_iso3 stringclasses 37 values	year int64 2k 2.02k	Proportion of population with primary reliance on clean fuels and technologies for cooking (%) - Residence area type: Total float64 0.9 100
Afghanistan	AFG	2,000	6.2
Afghanistan	AFG	2,001	7.1
Afghanistan	AFG	2,002	8.3
Afghanistan	AFG	2,003	9.35
Afghanistan	AFG	2,004	10.8
Afghanistan	AFG	2,005	12.1
Afghanistan	AFG	2,006	13.6
Afghanistan	AFG	2,007	15.3
Afghanistan	AFG	2,008	16.7
Afghanistan	AFG	2,009	18.3
Afghanistan	AFG	2,010	19.8
Afghanistan	AFG	2,011	21.3
Afghanistan	AFG	2,012	22.9
Afghanistan	AFG	2,013	24.4
Afghanistan	AFG	2,014	25.8
Afghanistan	AFG	2,015	27.5
Afghanistan	AFG	2,016	28.9
Afghanistan	AFG	2,017	30.15
Afghanistan	AFG	2,018	31.7
Afghanistan	AFG	2,019	33.3
Afghanistan	AFG	2,020	34.6
Afghanistan	AFG	2,021	35.9
Afghanistan	AFG	2,022	37.1
Afghanistan	AFG	2,023	38.6
Armenia	ARM	2,000	79.3
Armenia	ARM	2,001	82.2
Armenia	ARM	2,002	84.7
Armenia	ARM	2,003	87.1
Armenia	ARM	2,004	89.05
Armenia	ARM	2,005	90.8
Armenia	ARM	2,006	92.3
Armenia	ARM	2,007	93.4
Armenia	ARM	2,008	94.3
Armenia	ARM	2,009	95.2
Armenia	ARM	2,010	95.7
Armenia	ARM	2,011	96.3
Armenia	ARM	2,012	96.8
Armenia	ARM	2,013	97.1
Armenia	ARM	2,014	97.4
Armenia	ARM	2,015	97.6
Armenia	ARM	2,016	97.8
Armenia	ARM	2,017	98.1
Armenia	ARM	2,018	98.2
Armenia	ARM	2,019	98.4
Armenia	ARM	2,020	98.5
Armenia	ARM	2,021	98.6
Armenia	ARM	2,022	98.7
Armenia	ARM	2,023	98.8
Azerbaijan	AZE	2,000	70.1
Azerbaijan	AZE	2,001	73.8
Azerbaijan	AZE	2,002	77
Azerbaijan	AZE	2,003	80
Azerbaijan	AZE	2,004	82.8
Azerbaijan	AZE	2,005	85.3
Azerbaijan	AZE	2,006	87.6
Azerbaijan	AZE	2,007	89.35
Azerbaijan	AZE	2,008	91
Azerbaijan	AZE	2,009	92.2
Azerbaijan	AZE	2,010	93.5
Azerbaijan	AZE	2,011	94.4
Azerbaijan	AZE	2,012	95.2
Azerbaijan	AZE	2,013	95.9
Azerbaijan	AZE	2,014	96.4
Azerbaijan	AZE	2,015	96.9
Azerbaijan	AZE	2,016	97.3
Azerbaijan	AZE	2,017	97.6
Azerbaijan	AZE	2,018	97.9
Azerbaijan	AZE	2,019	98.2
Azerbaijan	AZE	2,020	98.4
Azerbaijan	AZE	2,021	98.6
Azerbaijan	AZE	2,022	98.8
Azerbaijan	AZE	2,023	98.9
Bahrain	BHR	2,000	100
Bahrain	BHR	2,001	100
Bahrain	BHR	2,002	100
Bahrain	BHR	2,003	100
Bahrain	BHR	2,004	100
Bahrain	BHR	2,005	100
Bahrain	BHR	2,006	100
Bahrain	BHR	2,007	100
Bahrain	BHR	2,008	100
Bahrain	BHR	2,009	100
Bahrain	BHR	2,010	100
Bahrain	BHR	2,011	100
Bahrain	BHR	2,012	100
Bahrain	BHR	2,013	100
Bahrain	BHR	2,014	100
Bahrain	BHR	2,015	100
Bahrain	BHR	2,016	100
Bahrain	BHR	2,017	100
Bahrain	BHR	2,018	100
Bahrain	BHR	2,019	100
Bahrain	BHR	2,020	100
Bahrain	BHR	2,021	100
Bahrain	BHR	2,022	100
Bahrain	BHR	2,023	100
Bangladesh	BGD	2,000	7.7
Bangladesh	BGD	2,001	8
Bangladesh	BGD	2,002	8.3
Bangladesh	BGD	2,003	8.7

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Access To Clean Fuels And Technologies For Cooking | Asia (Our World in Data)

🌏 1,104 observations · 46 Asia countries · 2000–2023 · Repackaged by Electric Sheep Asia

TL;DR

This dataset contains 1,104 observations of Access To Clean Fuels And Technologies For Cooking data across 46 Asia countries, spanning 2000–2023.

About the source

Source: Our World in Data
Publisher: Our World in Data
License: cc-by-4.0
Topic: Access To Clean Fuels And Technologies For Cooking

Geographic coverage

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

Country	Rows	First year	Last year
`AFG`	24	2000	2023
`ARE`	24	2000	2023
`ARM`	24	2000	2023
`AZE`	24	2000	2023
`BGD`	24	2000	2023
`BHR`	24	2000	2023
`BRN`	24	2000	2023
`BTN`	24	2000	2023
`CHN`	24	2000	2023
`CYP`	24	2000	2023
`GEO`	24	2000	2023
`IDN`	24	2000	2023
`IND`	24	2000	2023
`IRN`	24	2000	2023
`IRQ`	24	2000	2023
...	31 more countries

Schema

Column	Type	Description	Example
`country_name`	`string`	—	`Afghanistan`
`country_iso3`	`string`	—	`AFG`
`year`	`int64`	—	`2000`
`Proportion of population with primary reliance on clean fuels and technologies for cooking (%) - Residence area type: Total`	`float64`	—	`6.2`

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-access-to-clean-fuels-and-technologies-for-cooking")
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.sort_values("year")
sample.plot(x="year", y="Proportion of population with primary reliance on clean fuels and technologies for cooking (%) - Residence area type: Total")

Citation

@misc{asia_owid_access_to_clean_fuels_and_technologies_for_cooking_2023,
  title        = {Access To Clean Fuels And Technologies For Cooking | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2023},
  url          = {https://ourworldindata.org/grapher/access-to-clean-fuels-and-technologies-for-cooking},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-access-to-clean-fuels-and-technologies-for-cooking}}
}

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 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 2026-06-02 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/access-to-clean-fuels-and-technologies-for-cooking

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