CoolFace
Datasetpublic

electricsheepeurope/europe-owid-youth-mortality-rate

Youth Mortality Rate | Europe (Our World in Data) šŸ‡ŖšŸ‡ŗ 2,414 observations Ā· 42 Europe countries Ā· 1950–2024 Ā· Repackaged by Electric Sheep Europe TL;DR This dataset contains 2,414 observations of Youth Mortality Rate data across 42 Europe countries, spanning 1950–2024. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Youth Mortality Rate Geographic coverage 42 Europe countries ·… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-youth-mortality-rate.

sourceHugging Facecc-by-4.0updated 4mo agoView on Hugging Face
0likes32downloads
Dataset Card

Youth Mortality Rate | Europe (Our World in Data)

šŸ‡ŖšŸ‡ŗ 2,414 observations Ā· 42 Europe countries Ā· 1950–2024 Ā· Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years license

TL;DR

This dataset contains 2,414 observations of Youth Mortality Rate data across 42 Europe countries, spanning 1950–2024.

About the source

Geographic coverage

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

CountryRowsFirst yearLast year
CHE7519502024
SWE7519502024
NOR7519502024
NLD7519502024
IRL7519502024
ITA7519502024
FRA7519502024
GBR7519502024
ESP7519502024
DNK7519502024
FIN7419512024
BEL7219532024
PRT7119542024
HUN7119542024
AUT7119542024
...27 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Albania
country_iso3string—ALB
yearint64—1990
Under-fifteen mortality ratefloat64—4.6857743
GDP per capitafloat64—5560.857
Populationfloat64—3277965.0
World region according to OWIDstring—Europe

Data quality & caveats

  • —Under-fifteen mortality rate column has 1.7% null values (filtered to non-null in this dataset).

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-youth-mortality-rate")
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.sort_values("year")
sample.plot(x="year", y="Under-fifteen mortality rate")

Citation

bibtex
@misc{europe_owid_youth_mortality_rate_2024,
  title        = {Youth Mortality Rate | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2024},
  url          = {https://ourworldindata.org/grapher/youth-mortality-rate},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-youth-mortality-rate}}
}

License

Released under cc-by-4.0.

Original data Ā© Our World in Data. 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 2026-06-13 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/youth-mortality-rate