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electricsheepeurope/europe-owid-death-rates-opioid-overdoses-by-age

Death Rates Opioid Overdoses By Age | Europe (Our World in Data) 🇪🇺 924 observations · 42 Europe countries · 2000–2021 · Repackaged by Electric Sheep Europe TL;DR This dataset contains 924 observations of Death Rates Opioid Overdoses By Age data across 42 Europe countries, spanning 2000–2021. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Death Rates Opioid Overdoses By Age… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-death-rates-opioid-overdoses-by-age.

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Dataset Card

Death Rates Opioid Overdoses By Age | Europe (Our World in Data)

🇪🇺 924 observations · 42 Europe countries · 2000–2021 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years license

TL;DR

This dataset contains 924 observations of Death Rates Opioid Overdoses By Age data across 42 Europe countries, spanning 2000–2021.

About the source

  • —Source: Our World in Data
  • —Publisher: Our World in Data
  • —License: cc-by-4.0
  • —Topic: Death Rates Opioid Overdoses By Age

Geographic coverage

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

CountryRowsFirst yearLast year
ALB2220002021
AND2220002021
AUT2220002021
BEL2220002021
BGR2220002021
BIH2220002021
BLR2220002021
CHE2220002021
CZE2220002021
DEU2220002021
DNK2220002021
ESP2220002021
EST2220002021
FIN2220002021
FRA2220002021
...27 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Albania
country_iso3string—ALB
yearint64—2000
0-4 yearsint64—0
5-14 yearsfloat64—0.0
15-49 yearsfloat64—1.0601076
50-69 yearsfloat64—0.62149864
70+ yearsfloat64—1.4743825
All agesfloat64—0.7

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-death-rates-opioid-overdoses-by-age")
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="0-4 years")

Citation

bibtex
@misc{europe_owid_death_rates_opioid_overdoses_by_age_2021,
  title        = {Death Rates Opioid Overdoses By Age | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2021},
  url          = {https://ourworldindata.org/grapher/death-rates-opioid-overdoses-by-age},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-death-rates-opioid-overdoses-by-age}}
}

License

Released under cc-by-4.0.

Original data © 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 2026-06-03 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/death-rates-opioid-overdoses-by-age