Datasets:

electricsheepasia
/

asia-owid-rural-without-basic-handwashing

country_name stringclasses 26 values	country_iso3 stringclasses 26 values	year int64 2k 2.02k	Number of people in rural areas without basic handwashing facilities float64 12.5k 490M
Afghanistan	AFG	2,005	13,901,402
Afghanistan	AFG	2,006	14,443,928
Afghanistan	AFG	2,007	14,680,564
Afghanistan	AFG	2,008	14,964,698
Afghanistan	AFG	2,009	15,478,338
Afghanistan	AFG	2,010	15,571,265
Afghanistan	AFG	2,011	15,776,366
Afghanistan	AFG	2,012	16,033,630
Afghanistan	AFG	2,013	16,184,815
Afghanistan	AFG	2,014	16,364,037
Afghanistan	AFG	2,015	16,451,578
Afghanistan	AFG	2,016	16,433,988
Afghanistan	AFG	2,017	16,448,894
Afghanistan	AFG	2,018	16,467,414
Afghanistan	AFG	2,019	16,484,484
Afghanistan	AFG	2,020	16,515,541
Afghanistan	AFG	2,021	16,400,062
Afghanistan	AFG	2,022	16,121,074
Afghanistan	AFG	2,023	15,942,265
Afghanistan	AFG	2,024	15,859,802
Armenia	ARM	2,000	380,160.25
Armenia	ARM	2,001	362,544.62
Armenia	ARM	2,002	345,173.7
Armenia	ARM	2,003	328,785.75
Armenia	ARM	2,004	312,496.28
Armenia	ARM	2,005	296,311.8
Armenia	ARM	2,006	280,211.28
Armenia	ARM	2,007	264,226.62
Armenia	ARM	2,008	248,364.34
Armenia	ARM	2,009	232,599.56
Armenia	ARM	2,010	216,897.14
Armenia	ARM	2,011	201,713.17
Armenia	ARM	2,012	186,976.45
Armenia	ARM	2,013	172,095.31
Armenia	ARM	2,014	157,044.5
Armenia	ARM	2,015	141,799.73
Armenia	ARM	2,016	126,414.11
Armenia	ARM	2,017	110,923.62
Armenia	ARM	2,018	104,405.18
Armenia	ARM	2,019	103,992.25
Armenia	ARM	2,020	103,259.27
Armenia	ARM	2,021	102,195.74
Armenia	ARM	2,022	102,172.17
Azerbaijan	AZE	2,007	588,027.06
Azerbaijan	AZE	2,008	593,118.7
Azerbaijan	AZE	2,009	597,443.8
Azerbaijan	AZE	2,010	601,294.6
Azerbaijan	AZE	2,011	605,463.06
Azerbaijan	AZE	2,012	578,055.75
Azerbaijan	AZE	2,013	550,373.94
Azerbaijan	AZE	2,014	521,852.9
Azerbaijan	AZE	2,015	492,371.8
Azerbaijan	AZE	2,016	461,975.44
Azerbaijan	AZE	2,017	430,370.66
Azerbaijan	AZE	2,018	397,242.2
Azerbaijan	AZE	2,019	363,967.47
Azerbaijan	AZE	2,020	330,621.6
Azerbaijan	AZE	2,021	296,699.94
Azerbaijan	AZE	2,022	263,108.34
Azerbaijan	AZE	2,023	228,788.97
Azerbaijan	AZE	2,024	194,791.61
Bangladesh	BGD	2,005	91,992,504
Bangladesh	BGD	2,006	92,166,660
Bangladesh	BGD	2,007	92,237,960
Bangladesh	BGD	2,008	92,214,510
Bangladesh	BGD	2,009	92,106,900
Bangladesh	BGD	2,010	88,188,850
Bangladesh	BGD	2,011	84,290,970
Bangladesh	BGD	2,012	80,432,170
Bangladesh	BGD	2,013	76,559,660
Bangladesh	BGD	2,014	72,668,540
Bangladesh	BGD	2,015	68,774,776
Bangladesh	BGD	2,016	64,890,044
Bangladesh	BGD	2,017	60,993,520
Bangladesh	BGD	2,018	57,098,892
Bangladesh	BGD	2,019	53,240,340
Bangladesh	BGD	2,020	49,398,584
Bangladesh	BGD	2,021	45,572,400
Bangladesh	BGD	2,022	41,862,268
Bangladesh	BGD	2,023	38,240,650
Bangladesh	BGD	2,024	34,617,476
Bhutan	BTN	2,004	121,249.305
Bhutan	BTN	2,005	121,372.63
Bhutan	BTN	2,006	121,679.9
Bhutan	BTN	2,007	121,737.76
Bhutan	BTN	2,008	121,722.445
Bhutan	BTN	2,009	115,271.26
Bhutan	BTN	2,010	108,785.625
Bhutan	BTN	2,011	102,285.97
Bhutan	BTN	2,012	95,806.414
Bhutan	BTN	2,013	89,340.48
Bhutan	BTN	2,014	82,864.89
Bhutan	BTN	2,015	76,359.66
Bhutan	BTN	2,016	69,854.3
Bhutan	BTN	2,017	63,312.36
Bhutan	BTN	2,018	56,737.047
Bhutan	BTN	2,019	50,202.43
Bhutan	BTN	2,020	43,746.492
Bhutan	BTN	2,021	37,371.254
Bhutan	BTN	2,022	31,061.984

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Rural Without Basic Handwashing | Asia (Our World in Data)

🌏 486 observations · 31 Asia countries · 2000–2024 · Repackaged by Electric Sheep Asia

TL;DR

This dataset contains 486 observations of Rural Without Basic Handwashing data across 31 Asia countries, spanning 2000–2024.

About the source

Source: Our World in Data
Publisher: Our World in Data
License: cc-by-4.0
Topic: Rural Without Basic Handwashing

Geographic coverage

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

Country	Rows	First year	Last year
`TKM`	25	2000	2024
`ARM`	23	2000	2022
`BTN`	21	2004	2024
`MNG`	21	2004	2024
`IRQ`	20	2005	2024
`BGD`	20	2005	2024
`AFG`	20	2005	2024
`NPL`	20	2005	2024
`VNM`	20	2005	2024
`IDN`	19	2006	2024
`KGZ`	19	2006	2024
`AZE`	18	2007	2024
`PAK`	18	2007	2024
`YEM`	18	2007	2024
`TJK`	18	2006	2023
...	16 more countries

Schema

Column	Type	Description	Example
`country_name`	`string`	—	`Afghanistan`
`country_iso3`	`string`	—	`AFG`
`year`	`int64`	—	`2005`
`Number of people in rural areas without basic handwashing facilities`	`float64`	—	`13901402.0`

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-rural-without-basic-handwashing")
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="Number of people in rural areas without basic handwashing facilities")

Citation

@misc{asia_owid_rural_without_basic_handwashing_2024,
  title        = {Rural Without Basic Handwashing | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2024},
  url          = {https://ourworldindata.org/grapher/rural-without-basic-handwashing},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-rural-without-basic-handwashing}}
}

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 2026-06-07 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/rural-without-basic-handwashing

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