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electricsheepeurope/europe-who-human-resources

Human resources | Europe (WHO GHO) 🇪🇺 125 observations · 42 Europe countries · 2021–2023 · Repackaged by Electric Sheep Europe TL;DR This dataset contains 125 observations of Human resources data across 42 Europe countries, spanning 2021–2023, covering 1 distinct indicators. About the source Source: WHO Global Health Observatory Publisher: World Health Organization License: cc-by-4.0 Topic: Human resources Geographic coverage… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-who-human-resources.

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Dataset Card

Human resources | Europe (WHO GHO)

🇪🇺 125 observations · 42 Europe countries · 2021–2023 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years indicators license

TL;DR

This dataset contains 125 observations of Human resources data across 42 Europe countries, spanning 2021–2023, covering 1 distinct indicators.

About the source

Geographic coverage

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

CountryRowsFirst yearLast year
ALB320212023
AUT320212023
BEL320212023
BGR320212023
BIH320212023
BLR320212023
CHE320212023
CZE320212023
DEU320212023
DNK320212023
ESP320212023
EST320212023
FIN320212023
FRA320212023
GBR320212023
...27 more countries

Indicators (sample)

  • —IHRSPAR2_C06

Schema

ColumnTypeDescriptionExample
indicator_codeobject—IHRSPAR2_C06
country_iso3object—ALB
who_regionobject—EUR
yearint64—2021
value_numericfloat64—80.0
value_lowobject——
value_highobject——
value_displayobject—80
last_updatedobject—2024-05-14T16:43:40.88+02:00

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-who-human-resources")
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"] == "IHRSPAR2_C06"]
          .sort_values("year"))
sample.plot(x="year", y="value_numeric", title="IHRSPAR2_C06")

Pivot to country × year matrix

python
matrix = (df[df["indicator_code"] == "IHRSPAR2_C06"]
          .pivot_table(index="year", columns="country_iso3", values="value_numeric"))
print(matrix.tail())

Citation

bibtex
@misc{europe_who_human_resources_2023,
  title        = {Human resources | 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-human-resources}}
}

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 2026-05-31 via the Electric Sheep pipeline. Source URL: https://www.who.int/data/gho