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electricsheepeurope/europe-who-nursing-and-midwifery-personnel-hwf0006

Nursing and midwifery personnel (per 10,000) | Europe (WHO GHO) ๐Ÿ‡ช๐Ÿ‡บ 1,131 observations ยท 42 Europe countries ยท 1990โ€“2024 ยท Repackaged by Electric Sheep Europe TL;DR This dataset contains 1,131 observations of Nursing and midwifery personnel (per 10,000) data across 42 Europe countries, spanning 1990โ€“2024, covering 1 distinct indicators. About the source Source: WHO Global Health Observatory Publisher: World Health Organization License:โ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-who-nursing-and-midwifery-personnel-hwf0006.

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Dataset Card

Nursing and midwifery personnel (per 10,000) | Europe (WHO GHO)

๐Ÿ‡ช๐Ÿ‡บ 1,131 observations ยท 42 Europe countries ยท 1990โ€“2024 ยท Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years indicators license

TL;DR

This dataset contains 1,131 observations of Nursing and midwifery personnel (per 10,000) data across 42 Europe countries, spanning 1990โ€“2024, covering 1 distinct indicators.

About the source

Geographic coverage

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

CountryRowsFirst yearLast year
BLR3519902024
ISL3519902024
CZE3419902023
BGR3419902023
LVA3419902023
LTU3419902023
ESP3419902023
EST3419902023
DNK3419902023
AUT3419902023
POL3419902023
SVN3419902023
MDA3419902023
HRV3419902023
HUN3419902023
...27 more countries

Indicators (sample)

  • โ€”HWF_0006

Schema

ColumnTypeDescriptionExample
indicator_codeobjectโ€”HWF_0006
country_iso3objectโ€”ALB
who_regionobjectโ€”EUR
yearint64โ€”1990
value_numericfloat64โ€”45.1
value_lowobjectโ€”โ€”
value_highobjectโ€”โ€”
value_displayobjectโ€”45.1
last_updatedobjectโ€”2026-01-23T13:52:33.353+01:00

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-who-nursing-and-midwifery-personnel-hwf0006")
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_0006"]
          .sort_values("year"))
sample.plot(x="year", y="value_numeric", title="HWF_0006")

Pivot to country ร— year matrix

python
matrix = (df[df["indicator_code"] == "HWF_0006"]
          .pivot_table(index="year", columns="country_iso3", values="value_numeric"))
print(matrix.tail())

Citation

bibtex
@misc{europe_who_nursing_and_midwifery_personnel_hwf0006_2024,
  title        = {Nursing and midwifery personnel (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-nursing-and-midwifery-personnel-hwf0006}}
}

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