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electricsheepeurope/europe-who-generalist-medical-practitioners

Generalist medical practitioners (number) | Europe (WHO GHO) ๐Ÿ‡ช๐Ÿ‡บ 983 observations ยท 41 Europe countries ยท 1980โ€“2024 ยท Repackaged by Electric Sheep Europe TL;DR This dataset contains 983 observations of Generalist medical practitioners (number) data across 41 Europe countries, spanning 1980โ€“2024, 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-generalist-medical-practitioners.

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Dataset Card

Generalist medical practitioners (number) | Europe (WHO GHO)

๐Ÿ‡ช๐Ÿ‡บ 983 observations ยท 41 Europe countries ยท 1980โ€“2024 ยท Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years indicators license

TL;DR

This dataset contains 983 observations of Generalist medical practitioners (number) data across 41 Europe countries, spanning 1980โ€“2024, covering 1 distinct indicators.

About the source

Geographic coverage

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

CountryRowsFirst yearLast year
AUT4519802024
CHE4419802023
GBR4419802023
PRT4419802023
HRV3919852023
ROU3819862023
FRA3419902023
DEU3319912023
LTU3219922023
MKD3219902022
LUX3219812017
DNK3019942023
RUS2819922019
FIN2819802023
SWE2819952022
...26 more countries

Indicators (sample)

  • โ€”HWF_0003

Schema

ColumnTypeDescriptionExample
indicator_codeobjectโ€”HWF_0003
country_iso3objectโ€”ALB
who_regionobjectโ€”EUR
yearint64โ€”2009
value_numericfloat64โ€”1595.0
value_lowobjectโ€”โ€”
value_highobjectโ€”โ€”
value_displayobjectโ€”1595
last_updatedobjectโ€”2026-01-23T13:29:16.4+01:00

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-who-generalist-medical-practitioners")
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"] == "HWF_0003"]
          .sort_values("year"))
sample.plot(x="year", y="value_numeric", title="HWF_0003")

Pivot to country ร— year matrix

python
matrix = (df[df["indicator_code"] == "HWF_0003"]
          .pivot_table(index="year", columns="country_iso3", values="value_numeric"))
print(matrix.tail())

Citation

bibtex
@misc{europe_who_generalist_medical_practitioners_2024,
  title        = {Generalist medical practitioners (number) | 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-generalist-medical-practitioners}}
}

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