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electricsheepeurope/europe-owid-distribution-of-population-poverty-thresholds

Distribution Of Population Poverty Thresholds | Europe (Our World in Data) 🇪🇺 931 observations · 39 Europe countries · 1968–2023 · Repackaged by Electric Sheep Europe TL;DR This dataset contains 931 observations of Distribution Of Population Poverty Thresholds data across 39 Europe countries, spanning 1968–2023. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Distribution Of Population Poverty… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-distribution-of-population-poverty-thresholds.

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Dataset Card

Distribution Of Population Poverty Thresholds | Europe (Our World in Data)

🇪🇺 931 observations · 39 Europe countries · 1968–2023 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years license

TL;DR

This dataset contains 931 observations of Distribution Of Population Poverty Thresholds data across 39 Europe countries, spanning 1968–2023.

About the source

  • —Source: Our World in Data
  • —Publisher: Our World in Data
  • —License: cc-by-4.0
  • —Topic: Distribution Of Population Poverty Thresholds

Geographic coverage

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

CountryRowsFirst yearLast year
GBR5419682021
LUX3919852023
ITA3819772023
FRA3319702023
DEU3219912022
ESP3219802023
SWE2919752023
AUT2819942023
POL2719852023
MDA2719972023
IRL2719872023
BEL2719852023
NOR2619792023
RUS2619932020
DNK2519872023
...24 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Albania
country_iso3string—ALB
yearint64—1996
Above $10 a dayint64—900034
$8.30-$10 a dayint64—411154
$4.20-$8.30 a dayint64—1480630
$3-$4.20 a dayint64—282193
Below $3 a dayint64—94022

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-distribution-of-population-poverty-thresholds")
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="Above $10 a day")

Citation

bibtex
@misc{europe_owid_distribution_of_population_poverty_thresholds_2023,
  title        = {Distribution Of Population Poverty Thresholds | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2023},
  url          = {https://ourworldindata.org/grapher/distribution-of-population-poverty-thresholds},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-distribution-of-population-poverty-thresholds}}
}

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 2026-06-05 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/distribution-of-population-poverty-thresholds