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electricsheepasia/asia-who-nursing-and-midwifery-personnel-hwf0006

Nursing and midwifery personnel (per 10,000) | Asia (WHO GHO) ๐ŸŒ 1,044 observations ยท 47 Asia countries ยท 1990โ€“2024 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 1990โ€“2024, covering 1 distinct indicators. About the source Source: WHO Global Health Observatory Publisher: World Health Organization License: cc-by-4.0 Topic:โ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-who-nursing-and-midwifery-personnel-hwf0006.

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Dataset Card

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

๐ŸŒ 1,044 observations ยท 47 Asia countries ยท 1990โ€“2024 ยท Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years indicators license

TL;DR

This dataset contains 1,044 observations of Nursing and midwifery personnel (per 10,000) data across 47 Asia countries, spanning 1990โ€“2024, covering 1 distinct indicators.

About the source

Geographic coverage

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

CountryRowsFirst yearLast year
MYS3519902024
KGZ3519902024
KAZ3519902024
TKM3519902024
ARE3419902023
CYP3419902023
TJK3419902023
UZB3419902023
ARM3319902022
AZE3319902022
LKA3219902023
KOR3119942024
TUR3119932023
CHN3019902023
GEO2919962024
...32 more countries

Indicators (sample)

  • โ€”HWF_0006

Schema

ColumnTypeDescriptionExample
indicator_codeobjectโ€”HWF_0006
country_iso3objectโ€”AFG
who_regionobjectโ€”EMR
yearint64โ€”2005
value_numericfloat64โ€”6.12
value_lowobjectโ€”โ€”
value_highobjectโ€”โ€”
value_displayobjectโ€”6.12
last_updatedobjectโ€”2026-01-23T13:52:33.353+01:00

Usage

python
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

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

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{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