electricsheepasia/asia-who-number-of-deaths-among-children-ages-5-to-9-years
Number of deaths among children ages 5 to 9 years | Asia (WHO GHO) ๐ 4,896 observations ยท 48 Asia countries ยท 1990โ2023 ยท Repackaged by Electric Sheep Asia TL;DR This dataset contains 4,896 observations of Number of deaths among children ages 5 to 9 years data across 48 Asia countries, spanning 1990โ2023, covering 1 distinct indicators. About the source Source: WHO Global Health Observatory Publisher: World Health Organization License:โฆ See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-who-number-of-deaths-among-children-ages-5-to-9-years.
Number of deaths among children ages 5 to 9 years | Asia (WHO GHO)
๐ 4,896 observations ยท 48 Asia countries ยท 1990โ2023 ยท Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)
TL;DR
This dataset contains 4,896 observations of Number of deaths among children ages 5 to 9 years data across 48 Asia countries, spanning 1990โ2023, covering 1 distinct indicators.
About the source
- Source: WHO Global Health Observatory
- Publisher: World Health Organization
- License: cc-by-4.0
- Topic: Number of deaths among children ages 5 to 9 years
Geographic coverage
48 Asia countries ยท top rows shown below, sorted by row count:
Indicators (sample)
CM_04
Schema
Disaggregation dimensions
The following columns provide disaggregation dimensions:
- `dim1_type` (1 unique values):
SEX - `dim1` (3 unique values):
SEX_BTSX,SEX_FMLE,SEX_MLE - `dim2_type` (1 unique values):
AGEGROUP - `dim2` (1 unique values):
AGEGROUP_YEARS05-09
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepasia/asia-who-number-of-deaths-among-children-ages-5-to-9-years")
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"] == "CM_04"]
.sort_values("year"))
sample.plot(x="year", y="value_numeric", title="CM_04")Pivot to country ร year matrix
matrix = (df[df["indicator_code"] == "CM_04"]
.pivot_table(index="year", columns="country_iso3", values="value_numeric"))
print(matrix.tail())Citation
@misc{asia_who_number_of_deaths_among_children_ages_5_to_9_years_2023,
title = {Number of deaths among children ages 5 to 9 years | 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-number-of-deaths-among-children-ages-5-to-9-years}}
}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
