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electricsheepeurope/europe-who-nursing-and-midwifery-personnel-hwf0007

Nursing and midwifery personnel (number) | Europe (WHO GHO) ๐Ÿ‡ช๐Ÿ‡บ 1,262 observations ยท 42 Europe countries ยท 1980โ€“2024 ยท Repackaged by Electric Sheep Europe TL;DR This dataset contains 1,262 observations of Nursing and midwifery personnel (number) data across 42 Europe countries, spanning 1980โ€“2024, covering 1 distinct indicators. About the source Source: WHO Global Health Observatory Publisher: World Health Organization License: cc-by-4.0โ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-who-nursing-and-midwifery-personnel-hwf0007.

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Dataset Card

Nursing and midwifery personnel (number) | Europe (WHO GHO)

๐Ÿ‡ช๐Ÿ‡บ 1,262 observations ยท 42 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 1,262 observations of Nursing and midwifery personnel (number) data across 42 Europe countries, spanning 1980โ€“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
BLR4519802024
ISL4519802024
MDA4419802023
EST4419802023
DNK4419802023
POL4419802023
CZE4419802023
ESP4319802023
LTU4319812023
BGR4019802023
HRV4019802023
SVN3919852023
AUT3919852023
BIH3619802022
LVA3519892023
...27 more countries

Indicators (sample)

  • โ€”HWF_0007

Schema

ColumnTypeDescriptionExample
indicator_codeobjectโ€”HWF_0007
country_iso3objectโ€”ALB
who_regionobjectโ€”EUR
yearint64โ€”1990
value_numericfloat64โ€”14785.0
value_lowobjectโ€”โ€”
value_highobjectโ€”โ€”
value_displayobjectโ€”14 785
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-hwf0007")
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_0007"]
          .sort_values("year"))
sample.plot(x="year", y="value_numeric", title="HWF_0007")

Pivot to country ร— year matrix

python
matrix = (df[df["indicator_code"] == "HWF_0007"]
          .pivot_table(index="year", columns="country_iso3", values="value_numeric"))
print(matrix.tail())

Citation

bibtex
@misc{europe_who_nursing_and_midwifery_personnel_hwf0007_2024,
  title        = {Nursing and midwifery personnel  (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-nursing-and-midwifery-personnel-hwf0007}}
}

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