CoolFace
Datasetpublic

electricsheepeurope/europe-who-physiotherapy-technicians-and-assistants

Physiotherapy Technicians and Assistants (number) | Europe (WHO GHO) ๐Ÿ‡ช๐Ÿ‡บ 23 observations ยท 10 Europe countries ยท 2000โ€“2024 ยท Repackaged by Electric Sheep Europe TL;DR This dataset contains 23 observations of Physiotherapy Technicians and Assistants (number) data across 10 Europe countries, spanning 2000โ€“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-physiotherapy-technicians-and-assistants.

sourceHugging Facecc-by-4.0updated 4mo agoView on Hugging Face
0likes11downloads
Dataset Card

Physiotherapy Technicians and Assistants (number) | Europe (WHO GHO)

๐Ÿ‡ช๐Ÿ‡บ 23 observations ยท 10 Europe countries ยท 2000โ€“2024 ยท Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years indicators license

TL;DR

This dataset contains 23 observations of Physiotherapy Technicians and Assistants (number) data across 10 Europe countries, spanning 2000โ€“2024, covering 1 distinct indicators.

About the source

Geographic coverage

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

CountryRowsFirst yearLast year
MNE720182024
ROU320022023
SVK320132023
CHE220212022
EST220002020
SRB220152016
LVA120242024
GRC120112011
FRA120142014
RUS120002000

Indicators (sample)

  • โ€”HWF_0022

Schema

ColumnTypeDescriptionExample
indicator_codeobjectโ€”HWF_0022
country_iso3objectโ€”CHE
who_regionobjectโ€”EUR
yearint64โ€”2021
value_numericfloat64โ€”3788.0
value_lowobjectโ€”โ€”
value_highobjectโ€”โ€”
value_displayobjectโ€”3788
last_updatedobjectโ€”2026-01-23T15:16:30.207+01:00

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-who-physiotherapy-technicians-and-assistants")
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_0022"]
          .sort_values("year"))
sample.plot(x="year", y="value_numeric", title="HWF_0022")

Pivot to country ร— year matrix

python
matrix = (df[df["indicator_code"] == "HWF_0022"]
          .pivot_table(index="year", columns="country_iso3", values="value_numeric"))
print(matrix.tail())

Citation

bibtex
@misc{europe_who_physiotherapy_technicians_and_assistants_2024,
  title        = {Physiotherapy Technicians and Assistants  (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-physiotherapy-technicians-and-assistants}}
}

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