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electricsheepasia/asia-who-estimated-antiretroviral-therapy-coverage-among-people

Estimated antiretroviral therapy coverage among people living with HIV (%) | Asia (WHO GHO) 🌏 864 observations · 36 Asia countries · 2000–2024 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 864 observations of Estimated antiretroviral therapy coverage among people living with HIV (%) data across 36 Asia countries, spanning 2000–2024, covering 1 distinct indicators. About the source Source: WHO Global Health Observatory… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-who-estimated-antiretroviral-therapy-coverage-among-people.

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Dataset Card

Estimated antiretroviral therapy coverage among people living with HIV (%) | Asia (WHO GHO)

🌏 864 observations · 36 Asia countries · 2000–2024 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years indicators license

TL;DR

This dataset contains 864 observations of Estimated antiretroviral therapy coverage among people living with HIV (%) data across 36 Asia countries, spanning 2000–2024, covering 1 distinct indicators.

About the source

Geographic coverage

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

CountryRowsFirst yearLast year
AFG2520002024
ARE2520002024
ARM2520002024
BGD2520002024
YEM2520002024
BHR2520002024
BTN2520002024
GEO2520002024
IDN2520002024
IRQ2520002024
JOR2520002024
KAZ2520002024
LBN2520002024
KGZ2520002024
KHM2520002024
...21 more countries

Indicators (sample)

  • —HIV_ARTCOVERAGE

Schema

ColumnTypeDescriptionExample
indicator_codeobject—HIV_ARTCOVERAGE
country_iso3object—AFG
who_regionobject—EMR
yearint64—2000
value_numericfloat64—0.0
value_lowfloat64—0.0
value_highfloat64—0.0
value_displayobject—0 [0 - 0]
last_updatedobject—2025-07-11T11:34:37.813+02:00

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-who-estimated-antiretroviral-therapy-coverage-among-people")
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"] == "HIV_ARTCOVERAGE"]
          .sort_values("year"))
sample.plot(x="year", y="value_numeric", title="HIV_ARTCOVERAGE")

Pivot to country × year matrix

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

Citation

bibtex
@misc{asia_who_estimated_antiretroviral_therapy_coverage_among_people_2024,
  title        = {Estimated antiretroviral therapy coverage among people living with HIV (%) | 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-estimated-antiretroviral-therapy-coverage-among-people}}
}

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