electricsheepasia/asia-who-mortality-rate-for-5-14-year-olds

Mortality rate for 5-14 year-olds (probability of dying per 1000 children aged 5-14 years) | Asia (WHO GHO)

🌏 4,896 observations · 48 Asia countries · 1990–2023 · Repackaged by Electric Sheep Asia

TL;DR

This dataset contains 4,896 observations of Mortality rate for 5-14 year-olds (probability of dying per 1000 children aged 5-14 years) data across 48 Asia countries, spanning 1990–2023, covering 1 distinct indicators.

About the source

• Source: WHO Global Health Observatory
• Publisher: World Health Organization
• License: cc-by-4.0
• Topic: Mortality rate for 5-14 year-olds (probability of dying per 1000 children aged 5-14 years)

Geographic coverage

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

Country	Rows	First year	Last year
AFG	102	1990	2023
ARE	102	1990	2023
ARM	102	1990	2023
AZE	102	1990	2023
BGD	102	1990	2023
BHR	102	1990	2023
BRN	102	1990	2023
BTN	102	1990	2023
CHN	102	1990	2023
CYP	102	1990	2023
GEO	102	1990	2023
IDN	102	1990	2023
IND	102	1990	2023
IRN	102	1990	2023
IRQ	102	1990	2023
...	33 more countries

Indicators (sample)

• CHILDMORT5TO14

Schema

Column	Type	Description	Example
indicator_code	object	—	CHILDMORT5TO14
country_iso3	object	—	AFG
who_region	object	—	EMR
year	int64	—	1990
dim1_type	object	—	SEX
dim1	object	—	SEX_BTSX
dim2_type	object	—	AGEGROUP
dim2	object	—	AGEGROUP_YEARS05-14
value_numeric	float64	—	28.999954028
value_low	float64	—	15.16668292
value_high	float64	—	62.197891161
value_display	object	—	29.0 [15.2-62.2]
last_updated	object	—	2025-04-16T12:50:14.033+02:00

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_YEARS05-14

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-who-mortality-rate-for-5-14-year-olds")
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"] == "CHILDMORT5TO14"]
          .sort_values("year"))
sample.plot(x="year", y="value_numeric", title="CHILDMORT5TO14")

Pivot to country × year matrix

matrix = (df[df["indicator_code"] == "CHILDMORT5TO14"]
          .pivot_table(index="year", columns="country_iso3", values="value_numeric"))
print(matrix.tail())

Citation

@misc{asia_who_mortality_rate_for_5_14_year_olds_2023,
  title        = {Mortality rate for 5-14 year-olds (probability of dying per 1000 children aged 5-14 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-mortality-rate-for-5-14-year-olds}}
}

License

Released under cc-by-4.0.

Original data © 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

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Provenance: ingested 2026-05-30 via the Electric Sheep pipeline. Source URL: https://www.who.int/data/gho