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electricsheepasia/asia-who-medical-and-pathology-laboratory-technicians

Medical and Pathology Laboratory Technicians (number) | Asia (WHO GHO) ๐ŸŒ 221 observations ยท 32 Asia countries ยท 1983โ€“2024 ยท Repackaged by Electric Sheep Asia TL;DR This dataset contains 221 observations of Medical and Pathology Laboratory Technicians (number) data across 32 Asia countries, spanning 1983โ€“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/electricsheepasia/asia-who-medical-and-pathology-laboratory-technicians.

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Dataset Card

Medical and Pathology Laboratory Technicians (number) | Asia (WHO GHO)

๐ŸŒ 221 observations ยท 32 Asia countries ยท 1983โ€“2024 ยท Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years indicators license

TL;DR

This dataset contains 221 observations of Medical and Pathology Laboratory Technicians (number) data across 32 Asia countries, spanning 1983โ€“2024, covering 1 distinct indicators.

About the source

Geographic coverage

32 Asia countries ยท top rows shown below, sorted by row count:

CountryRowsFirst yearLast year
MYS4219832024
OMN2719852024
BHR1920002020
MDV1319892020
BTN1120042022
BGD1120072023
ISR1020152024
IDN1019922024
MNG920122024
TLS820012020
YEM619972022
NPL520042024
LKA519932023
GEO520182022
KHM419962018
...17 more countries

Indicators (sample)

  • โ€”HWF_0020

Schema

ColumnTypeDescriptionExample
indicator_codeobjectโ€”HWF_0020
country_iso3objectโ€”AFG
who_regionobjectโ€”EMR
yearint64โ€”2023
value_numericfloat64โ€”5996.0
value_lowobjectโ€”โ€”
value_highobjectโ€”โ€”
value_displayobjectโ€”5996
last_updatedobjectโ€”2026-01-23T15:16:30.207+01:00

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-who-medical-and-pathology-laboratory-technicians")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python
indonesia = df[df["country_iso3"] == "IDN"]

Time-series for a single indicator

python
sample = (df[df["indicator_code"] == "HWF_0020"]
          .sort_values("year"))
sample.plot(x="year", y="value_numeric", title="HWF_0020")

Pivot to country ร— year matrix

python
matrix = (df[df["indicator_code"] == "HWF_0020"]
          .pivot_table(index="year", columns="country_iso3", values="value_numeric"))
print(matrix.tail())

Citation

bibtex
@misc{asia_who_medical_and_pathology_laboratory_technicians_2024,
  title        = {Medical and Pathology Laboratory Technicians  (number) | Asia (WHO GHO)},
  author       = {World Health Organization},
  year         = {2024},
  url          = {https://www.who.int/data/gho},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-who-medical-and-pathology-laboratory-technicians}}
}

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 Asia repackaging.

About Electric Sheep

Electric Sheep Asia is part of the Electric Sheep mission: a unified, ML-ready data layer for Asia 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/electricsheepasia


Provenance: ingested 2026-05-29 via the Electric Sheep pipeline. Source URL: https://www.who.int/data/gho