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electricsheepasia/asia-who-mortality-rate-among-children-ages-10-to-14-years

Mortality rate among children ages 10 to 14 years (per 1000 children aged 10) | Asia (WHO GHO) 🌏 1,488 observations Β· 48 Asia countries Β· 1990–2020 Β· Repackaged by Electric Sheep Asia TL;DR This dataset contains 1,488 observations of Mortality rate among children ages 10 to 14 years (per 1000 children aged 10) data across 48 Asia countries, spanning 1990–2020, covering 1 distinct indicators. About the source Source: WHO Global Health… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-who-mortality-rate-among-children-ages-10-to-14-years.

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Dataset Card

Mortality rate among children ages 10 to 14 years (per 1000 children aged 10) | Asia (WHO GHO)

🌏 1,488 observations Β· 48 Asia countries Β· 1990–2020 Β· Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years indicators license

TL;DR

This dataset contains 1,488 observations of Mortality rate among children ages 10 to 14 years (per 1000 children aged 10) data across 48 Asia countries, spanning 1990–2020, covering 1 distinct indicators.

About the source

  • β€”Source: WHO Global Health Observatory
  • β€”Publisher: World Health Organization
  • β€”License: cc-by-4.0
  • β€”Topic: Mortality rate among children ages 10 to 14 years (per 1000 children aged 10)

Geographic coverage

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

CountryRowsFirst yearLast year
AFG3119902020
ARE3119902020
ARM3119902020
AZE3119902020
BGD3119902020
BHR3119902020
BRN3119902020
BTN3119902020
CHN3119902020
CYP3119902020
GEO3119902020
IDN3119902020
IND3119902020
IRN3119902020
IRQ3119902020
...33 more countries

Indicators (sample)

  • β€”CHILDMORT_MORTALITY_10TO14

Schema

ColumnTypeDescriptionExample
indicator_codeobjectβ€”CHILDMORT_MORTALITY_10TO14
country_iso3objectβ€”AFG
who_regionobjectβ€”EMR
yearint64β€”1990
dim1_typeobjectβ€”SEX
dim1objectβ€”SEX_BTSX
value_numericfloat64β€”9.66931
value_lowfloat64β€”0.0
value_highfloat64β€”27.45075
value_displayobjectβ€”9.67 [0.0-27.45]
last_updatedobjectβ€”2022-01-26T15:50:49+01:00

Disaggregation dimensions

The following columns provide disaggregation dimensions:

  • β€”`dim1_type` (1 unique values): SEX
  • β€”`dim1` (1 unique values): SEX_BTSX

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-who-mortality-rate-among-children-ages-10-to-14-years")
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"] == "CHILDMORT_MORTALITY_10TO14"]
          .sort_values("year"))
sample.plot(x="year", y="value_numeric", title="CHILDMORT_MORTALITY_10TO14")

Pivot to country Γ— year matrix

python
matrix = (df[df["indicator_code"] == "CHILDMORT_MORTALITY_10TO14"]
          .pivot_table(index="year", columns="country_iso3", values="value_numeric"))
print(matrix.tail())

Citation

bibtex
@misc{asia_who_mortality_rate_among_children_ages_10_to_14_years_2020,
  title        = {Mortality rate among children ages 10 to 14 years (per 1000 children aged 10) | Asia (WHO GHO)},
  author       = {World Health Organization},
  year         = {2020},
  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-among-children-ages-10-to-14-years}}
}

License

Released under cc-by-4.0.

Original data Β© 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