electricsheepasia/asia-who-population-using-at-least-basic-sanitation-services
Population using at least basic sanitation services (%) | Asia (WHO GHO) 🌏 3,206 observations · 48 Asia countries · 2000–2024 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 3,206 observations of Population using at least basic sanitation services (%) data across 48 Asia countries, spanning 2000–2024, covering 1 distinct indicators. About the source Source: WHO Global Health Observatory Publisher: World Health Organization… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-who-population-using-at-least-basic-sanitation-services.
Population using at least basic sanitation services (%) | Asia (WHO GHO)
🌏 3,206 observations · 48 Asia countries · 2000–2024 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)
TL;DR
This dataset contains 3,206 observations of Population using at least basic sanitation services (%) data across 48 Asia countries, spanning 2000–2024, covering 1 distinct indicators.
About the source
- Source: WHO Global Health Observatory
- Publisher: World Health Organization
- License: cc-by-4.0
- Topic: Population using at least basic sanitation services (%)
Geographic coverage
48 Asia countries · top rows shown below, sorted by row count:
Indicators (sample)
WSH_SANITATION_BASIC
Schema
Disaggregation dimensions
The following columns provide disaggregation dimensions:
- `dim1_type` (1 unique values):
RESIDENCEAREATYPE - `dim1` (3 unique values):
RESIDENCEAREATYPE_RUR,RESIDENCEAREATYPE_TOTL,RESIDENCEAREATYPE_URB
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepasia/asia-who-population-using-at-least-basic-sanitation-services")
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"] == "WSH_SANITATION_BASIC"]
.sort_values("year"))
sample.plot(x="year", y="value_numeric", title="WSH_SANITATION_BASIC")Pivot to country × year matrix
matrix = (df[df["indicator_code"] == "WSH_SANITATION_BASIC"]
.pivot_table(index="year", columns="country_iso3", values="value_numeric"))
print(matrix.tail())Citation
@misc{asia_who_population_using_at_least_basic_sanitation_services_2024,
title = {Population using at least basic sanitation services (%) | Asia (WHO GHO)},
author = {World Health Organization},
year = {2024},
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-using-at-least-basic-sanitation-services}}
}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
