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electricsheepeurope/europe-who-uhc-service-coverage-index

UHC Service Coverage Index (SDG 3.8.1) | Europe (WHO GHO) ๐Ÿ‡ช๐Ÿ‡บ 1,008 observations ยท 42 Europe countries ยท 2000โ€“2023 ยท Repackaged by Electric Sheep Europe TL;DR This dataset contains 1,008 observations of UHC Service Coverage Index (SDG 3.8.1) data across 42 Europe countries, spanning 2000โ€“2023, covering 1 distinct indicators. About the source Source: WHO Global Health Observatory Publisher: World Health Organization License: cc-by-4.0 Topic:โ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-who-uhc-service-coverage-index.

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Dataset Card

UHC Service Coverage Index (SDG 3.8.1) | Europe (WHO GHO)

๐Ÿ‡ช๐Ÿ‡บ 1,008 observations ยท 42 Europe countries ยท 2000โ€“2023 ยท Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years indicators license

TL;DR

This dataset contains 1,008 observations of UHC Service Coverage Index (SDG 3.8.1) data across 42 Europe countries, spanning 2000โ€“2023, covering 1 distinct indicators.

About the source

Geographic coverage

42 Europe countries ยท top rows shown below, sorted by row count:

CountryRowsFirst yearLast year
ALB2420002023
AND2420002023
AUT2420002023
BEL2420002023
BGR2420002023
BIH2420002023
BLR2420002023
CHE2420002023
CZE2420002023
DEU2420002023
DNK2420002023
ESP2420002023
EST2420002023
FIN2420002023
FRA2420002023
...27 more countries

Indicators (sample)

  • โ€”UHC_INDEX_REPORTED

Schema

ColumnTypeDescriptionExample
indicator_codeobjectโ€”UHC_INDEX_REPORTED
country_iso3objectโ€”ALB
who_regionobjectโ€”EUR
yearint64โ€”2000
value_numericfloat64โ€”56.0
value_lowobjectโ€”โ€”
value_highobjectโ€”โ€”
value_displayobjectโ€”56
last_updatedobjectโ€”2025-12-05T11:39:13.277+01:00

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-who-uhc-service-coverage-index")
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"] == "UHC_INDEX_REPORTED"]
          .sort_values("year"))
sample.plot(x="year", y="value_numeric", title="UHC_INDEX_REPORTED")

Pivot to country ร— year matrix

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

Citation

bibtex
@misc{europe_who_uhc_service_coverage_index_2023,
  title        = {UHC Service Coverage Index (SDG 3.8.1) | Europe (WHO GHO)},
  author       = {World Health Organization},
  year         = {2023},
  url          = {https://www.who.int/data/gho},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-who-uhc-service-coverage-index}}
}

License

Released under cc-by-4.0.

Original data ยฉ 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