CoolFace
Datasetpublic

electricsheepasia/asia-owid-child-mortality-complete-gapminder

Child Mortality Complete Gapminder | Asia (Our World in Data) 🌏 10,976 observations · 49 Asia countries · 1800–2023 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 10,976 observations of Child Mortality Complete Gapminder data across 49 Asia countries, spanning 1800–2023. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Child Mortality Complete Gapminder Geographic… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-child-mortality-complete-gapminder.

sourceHugging Facecc-by-4.0updated 4mo agoView on Hugging Face
0likes51downloads
Dataset Card

Child Mortality Complete Gapminder | Asia (Our World in Data)

🌏 10,976 observations · 49 Asia countries · 1800–2023 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 10,976 observations of Child Mortality Complete Gapminder data across 49 Asia countries, spanning 1800–2023.

About the source

Geographic coverage

49 Asia countries · top rows shown below, sorted by row count:

CountryRowsFirst yearLast year
AFG22418002023
ARE22418002023
ARM22418002023
AZE22418002023
BGD22418002023
BHR22418002023
BRN22418002023
BTN22418002023
CHN22418002023
CYP22418002023
GEO22418002023
IDN22418002023
IND22418002023
IRN22418002023
IRQ22418002023
...34 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Afghanistan
country_iso3string—AFG
yearint64—1800
Child mortality rate (full)float64—46.857998

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-child-mortality-complete-gapminder")
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.sort_values("year")
sample.plot(x="year", y="Child mortality rate (full)")

Citation

bibtex
@misc{asia_owid_child_mortality_complete_gapminder_2023,
  title        = {Child Mortality Complete Gapminder | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2023},
  url          = {https://ourworldindata.org/grapher/child-mortality-complete-gapminder},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-child-mortality-complete-gapminder}}
}

License

Released under cc-by-4.0.

Original data © Our World in Data. 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 2026-06-02 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/child-mortality-complete-gapminder