electricsheepasia/asia-who-nursing-and-midwifery-personnel-hwf0006
Nursing and midwifery personnel (per 10,000) | Asia (WHO GHO) ๐ 1,044 observations ยท 47 Asia countries ยท 1990โ2024 ยท Repackaged by Electric Sheep Asia TL;DR This dataset contains 1,044 observations of Nursing and midwifery personnel (per 10,000) data across 47 Asia countries, spanning 1990โ2024, covering 1 distinct indicators. About the source Source: WHO Global Health Observatory Publisher: World Health Organization License: cc-by-4.0 Topic:โฆ See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-who-nursing-and-midwifery-personnel-hwf0006.
Nursing and midwifery personnel (per 10,000) | Asia (WHO GHO)
๐ 1,044 observations ยท 47 Asia countries ยท 1990โ2024 ยท Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)
TL;DR
This dataset contains 1,044 observations of Nursing and midwifery personnel (per 10,000) data across 47 Asia countries, spanning 1990โ2024, covering 1 distinct indicators.
About the source
- Source: WHO Global Health Observatory
- Publisher: World Health Organization
- License: cc-by-4.0
- Topic: Nursing and midwifery personnel (per 10,000)
Geographic coverage
47 Asia countries ยท top rows shown below, sorted by row count:
Indicators (sample)
HWF_0006
Schema
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepasia/asia-who-nursing-and-midwifery-personnel-hwf0006")
df = ds["train"].to_pandas()
print(df.head())Filter to one country
indonesia = df[df["country_iso3"] == "IDN"]Time-series for a single indicator
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
matrix = (df[df["indicator_code"] == "HWF_0006"]
.pivot_table(index="year", columns="country_iso3", values="value_numeric"))
print(matrix.tail())Citation
@misc{asia_who_nursing_and_midwifery_personnel_hwf0006_2024,
title = {Nursing and midwifery personnel (per 10,000) | 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-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 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
