electricsheepeurope/europe-who-medical-doctors-hwf0001

Medical doctors (per 10,000) | Europe (WHO GHO)

🇪🇺 1,264 observations · 42 Europe countries · 1990–2024 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

TL;DR

This dataset contains 1,264 observations of Medical doctors (per 10,000) data across 42 Europe countries, spanning 1990–2024, covering 1 distinct indicators.

About the source

• —Source: WHO Global Health Observatory
• —Publisher: World Health Organization
• —License: cc-by-4.0
• —Topic: Medical doctors (per 10,000)

Geographic coverage

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

Indicators (sample)

• —HWF_0001

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-who-medical-doctors-hwf0001")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

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

Time-series for a single indicator

sample = (df[df["indicator_code"] == "HWF_0001"]
          .sort_values("year"))
sample.plot(x="year", y="value_numeric", title="HWF_0001")

Pivot to country × year matrix

matrix = (df[df["indicator_code"] == "HWF_0001"]
          .pivot_table(index="year", columns="country_iso3", values="value_numeric"))
print(matrix.tail())

Citation

@misc{europe_who_medical_doctors_hwf0001_2024,
  title        = {Medical doctors (per 10,000) | 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-medical-doctors-hwf0001}}
}

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 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