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electricsheepasia/asia-owid-distribution-of-population-poverty-thresholds

Distribution Of Population Poverty Thresholds | Asia (Our World in Data) 🌏 491 observations · 40 Asia countries · 1977–2025 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 491 observations of Distribution Of Population Poverty Thresholds data across 40 Asia countries, spanning 1977–2025. 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/electricsheepasia/asia-owid-distribution-of-population-poverty-thresholds.

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Dataset Card

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

🌏 491 observations · 40 Asia countries · 1977–2025 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 491 observations of Distribution Of Population Poverty Thresholds data across 40 Asia countries, spanning 1977–2025.

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

40 Asia countries · top rows shown below, sorted by row count:

CountryRowsFirst yearLast year
IDN3319842025
THA3019812024
GEO2919962024
ISR2619792022
KGZ2520002024
ARM2519992024
TUR2419872023
CHN2319812022
KAZ2319932021
CYP2020042023
IRN2019862023
TWN1619812021
MYS1419842021
PHL1419852023
PAK1419872024
...25 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Armenia
country_iso3string—ARM
yearint64—1999
Above $10 a dayint64—315982
$8.30-$10 a dayint64—179074
$4.20-$8.30 a dayint64—1251957
$3-$4.20 a dayint64—749786
Below $3 a dayint64—670487

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-distribution-of-population-poverty-thresholds")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python
indonesia = df[df["country_iso3"] == "IDN"]

Time-series for a single indicator

python
sample = df.sort_values("year")
sample.plot(x="year", y="Above $10 a day")

Citation

bibtex
@misc{asia_owid_distribution_of_population_poverty_thresholds_2025,
  title        = {Distribution Of Population Poverty Thresholds | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2025},
  url          = {https://ourworldindata.org/grapher/distribution-of-population-poverty-thresholds},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-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 Asia repackaging.

About Electric Sheep

Electric Sheep Asia is part of the Electric Sheep mission: a unified, ML-ready data layer for Asia 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/electricsheepasia


Provenance: ingested 2026-06-03 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/distribution-of-population-poverty-thresholds