CoolFace
Datasetpublic

electricsheepasia/asia-who-maternal-mortality-ratio

Maternal mortality ratio (per 100 000 live births) | Asia (WHO GHO) ๐ŸŒ 1,872 observations ยท 48 Asia countries ยท 1985โ€“2023 ยท Repackaged by Electric Sheep Asia TL;DR This dataset contains 1,872 observations of Maternal mortality ratio (per 100 000 live births) data across 48 Asia countries, spanning 1985โ€“2023, 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-maternal-mortality-ratio.

sourceHugging Facecc-by-4.0updated 4mo agoView on Hugging Face
0likes55downloads
Dataset Card

Maternal mortality ratio (per 100 000 live births) | Asia (WHO GHO)

๐ŸŒ 1,872 observations ยท 48 Asia countries ยท 1985โ€“2023 ยท Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years indicators license

TL;DR

This dataset contains 1,872 observations of Maternal mortality ratio (per 100 000 live births) data across 48 Asia countries, spanning 1985โ€“2023, covering 1 distinct indicators.

About the source

Geographic coverage

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

CountryRowsFirst yearLast year
AFG3919852023
ARE3919852023
ARM3919852023
AZE3919852023
BGD3919852023
BHR3919852023
BRN3919852023
BTN3919852023
CHN3919852023
CYP3919852023
GEO3919852023
IDN3919852023
IND3919852023
IRN3919852023
IRQ3919852023
...33 more countries

Indicators (sample)

  • โ€”MDG_0000000026

Schema

ColumnTypeDescriptionExample
indicator_codeobjectโ€”MDG_0000000026
country_iso3objectโ€”AFG
who_regionobjectโ€”EMR
yearint64โ€”1985
value_numericfloat64โ€”2231.506208
value_lowfloat64โ€”1234.553834
value_highfloat64โ€”3397.022035
value_displayobjectโ€”2232 [1235-3397]
last_updatedobjectโ€”2025-04-10T15:44:11.957+02:00

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-who-maternal-mortality-ratio")
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"] == "MDG_0000000026"]
          .sort_values("year"))
sample.plot(x="year", y="value_numeric", title="MDG_0000000026")

Pivot to country ร— year matrix

python
matrix = (df[df["indicator_code"] == "MDG_0000000026"]
          .pivot_table(index="year", columns="country_iso3", values="value_numeric"))
print(matrix.tail())

Citation

bibtex
@misc{asia_who_maternal_mortality_ratio_2023,
  title        = {Maternal mortality ratio (per 100 000 live births) | Asia (WHO GHO)},
  author       = {World Health Organization},
  year         = {2023},
  url          = {https://www.who.int/data/gho},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-who-maternal-mortality-ratio}}
}

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