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electricsheepeurope/europe-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) | Europe (WHO GHO) 🇪🇺 4,386 observations · 43 Europe countries · 1990–2023 · Repackaged by Electric Sheep Europe TL;DR This dataset contains 4,386 observations of Mortality rate for 5-14 year-olds (probability of dying per 1000 children aged 5-14 years) data across 43 Europe countries, spanning 1990–2023, covering 1 distinct indicators. About the source… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-who-mortality-rate-for-5-14-year-olds.

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Dataset Card

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

🇪🇺 4,386 observations · 43 Europe countries · 1990–2023 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years indicators license

TL;DR

This dataset contains 4,386 observations of Mortality rate for 5-14 year-olds (probability of dying per 1000 children aged 5-14 years) data across 43 Europe 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

43 Europe countries · top rows shown below, sorted by row count:

CountryRowsFirst yearLast year
ALB10219902023
AND10219902023
AUT10219902023
BEL10219902023
BGR10219902023
BIH10219902023
BLR10219902023
CHE10219902023
CZE10219902023
DEU10219902023
DNK10219902023
ESP10219902023
EST10219902023
FIN10219902023
FRA10219902023
...28 more countries

Indicators (sample)

  • —CHILDMORT5TO14

Schema

ColumnTypeDescriptionExample
indicator_codeobject—CHILDMORT5TO14
country_iso3object—ALB
who_regionobject—EUR
yearint64—1990
dim1_typeobject—SEX
dim1object—SEX_BTSX
dim2_typeobject—AGEGROUP
dim2object—AGEGROUP_YEARS05-14
value_numericfloat64—6.344973167
value_lowfloat64—6.099329613
value_highfloat64—6.58326118
value_displayobject—6.3 [6.1-6.6]
last_updatedobject—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

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-who-mortality-rate-for-5-14-year-olds")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python
germany = df[df["country_iso3"] == "DEU"]

Time-series for a single indicator

python
sample = (df[df["indicator_code"] == "CHILDMORT5TO14"]
          .sort_values("year"))
sample.plot(x="year", y="value_numeric", title="CHILDMORT5TO14")

Pivot to country × year matrix

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

Citation

bibtex
@misc{europe_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) | Europe (WHO GHO)},
  author       = {World Health Organization},
  year         = {2023},
  url          = {https://www.who.int/data/gho},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-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 Europe repackaging.

About Electric Sheep

Electric Sheep Europe is part of the Electric Sheep mission: a unified, ML-ready data layer for Europe 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/electricsheepeurope


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