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.
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)
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:
Indicators (sample)
CHILDMORT5TO14
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_YEARS05-14
Usage
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
germany = df[df["country_iso3"] == "DEU"]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{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
