CoolFace
Datasetpublic

electricsheepeurope/europe-owid-legislative-provisions-for-managing-disaster-risk

Legislative Provisions For Managing Disaster Risk | Europe (Our World in Data) 🇪🇺 167 observations · 30 Europe countries · 2005–2023 · Repackaged by Electric Sheep Europe TL;DR This dataset contains 167 observations of Legislative Provisions For Managing Disaster Risk data across 30 Europe countries, spanning 2005–2023. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Legislative Provisions For… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-legislative-provisions-for-managing-disaster-risk.

sourceHugging Facecc-by-4.0updated 4mo agoView on Hugging Face
0likes16downloads
Dataset Card

Legislative Provisions For Managing Disaster Risk | Europe (Our World in Data)

🇪🇺 167 observations · 30 Europe countries · 2005–2023 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years license

TL;DR

This dataset contains 167 observations of Legislative Provisions For Managing Disaster Risk data across 30 Europe countries, spanning 2005–2023.

About the source

  • —Source: Our World in Data
  • —Publisher: Our World in Data
  • —License: cc-by-4.0
  • —Topic: Legislative Provisions For Managing Disaster Risk

Geographic coverage

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

CountryRowsFirst yearLast year
EST1520052019
UKR1120132023
RUS1020142023
FRA920152023
DEU920152023
BLR920152023
PRT920152023
POL920152023
BGR920152023
NOR820122019
CZE720152023
CHE720162022
SVN620182023
GBR620052021
MNE620182023
...15 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Andorra
country_iso3string—AND
yearint64—2023
Score of adoption and implementation of national DRR strategies in line with the Sendai Frameworkfloat64—0.62

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-legislative-provisions-for-managing-disaster-risk")
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="Score of adoption and implementation of national DRR strategies in line with the Sendai Framework")

Citation

bibtex
@misc{europe_owid_legislative_provisions_for_managing_disaster_risk_2023,
  title        = {Legislative Provisions For Managing Disaster Risk | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2023},
  url          = {https://ourworldindata.org/grapher/legislative-provisions-for-managing-disaster-risk},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-legislative-provisions-for-managing-disaster-risk}}
}

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 2026-06-06 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/legislative-provisions-for-managing-disaster-risk