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electricsheepeurope/europe-who-reported-number-of-children-receiving-antiretroviral-therapy

Reported number of children receiving antiretroviral therapy | Europe (WHO GHO) πŸ‡ͺπŸ‡Ί 345 observations Β· 16 Europe countries Β· 2000–2024 Β· Repackaged by Electric Sheep Europe TL;DR This dataset contains 345 observations of Reported number of children receiving antiretroviral therapy data across 16 Europe countries, spanning 2000–2024, covering 1 distinct indicators. About the source Source: WHO Global Health Observatory Publisher: World Health… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-who-reported-number-of-children-receiving-antiretroviral-therapy.

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Dataset Card

Reported number of children receiving antiretroviral therapy | Europe (WHO GHO)

πŸ‡ͺπŸ‡Ί 345 observations Β· 16 Europe countries Β· 2000–2024 Β· Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years indicators license

TL;DR

This dataset contains 345 observations of Reported number of children receiving antiretroviral therapy data across 16 Europe countries, spanning 2000–2024, covering 1 distinct indicators.

About the source

Geographic coverage

16 Europe countries Β· top rows shown below, sorted by row count:

CountryRowsFirst yearLast year
ALB2520002024
BGR2520002024
LUX2520002024
MDA2520002024
ROU2520002024
SRB2520002024
MNE2520002024
MKD2520002024
NLD2420002023
MLT2420002023
SVK2420002023
HRV2320002024
SVN2220002024
ISL1920002018
IRL820162024
...1 more countries

Indicators (sample)

  • β€”HIV_0000000011

Schema

ColumnTypeDescriptionExample
indicator_codeobjectβ€”HIV_0000000011
country_iso3objectβ€”ALB
who_regionobjectβ€”EUR
yearint64β€”2000
value_numericfloat64β€”0.0
value_lowobjectβ€”β€”
value_highobjectβ€”β€”
value_displayobjectβ€”0
last_updatedobjectβ€”2025-07-11T11:34:37.813+02:00

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-who-reported-number-of-children-receiving-antiretroviral-therapy")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python
germany = df[df["country_iso3"] == "DEU"]

Time-series for a single indicator

python
sample = (df[df["indicator_code"] == "HIV_0000000011"]
          .sort_values("year"))
sample.plot(x="year", y="value_numeric", title="HIV_0000000011")

Pivot to country Γ— year matrix

python
matrix = (df[df["indicator_code"] == "HIV_0000000011"]
          .pivot_table(index="year", columns="country_iso3", values="value_numeric"))
print(matrix.tail())

Citation

bibtex
@misc{europe_who_reported_number_of_children_receiving_antiretroviral_therapy_2024,
  title        = {Reported number of children receiving antiretroviral therapy | Europe (WHO GHO)},
  author       = {World Health Organization},
  year         = {2024},
  url          = {https://www.who.int/data/gho},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-who-reported-number-of-children-receiving-antiretroviral-therapy}}
}

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 Europe repackaging.

About Electric Sheep

Electric Sheep Europe is part of the Electric Sheep mission: a unified, ML-ready data layer for Europe 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/electricsheepeurope


Provenance: ingested 2026-05-29 via the Electric Sheep pipeline. Source URL: https://www.who.int/data/gho