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electricsheepasia/asia-owid-gini-coefficient-after-vs-before-tax-wid-scatter

Gini Coefficient After Vs Before Tax Wid Scatter | Asia (Our World in Data) 🌏 2,205 observations · 49 Asia countries · 1980–2024 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 2,205 observations of Gini Coefficient After Vs Before Tax Wid Scatter data across 49 Asia countries, spanning 1980–2024. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Gini Coefficient After Vs Before… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-gini-coefficient-after-vs-before-tax-wid-scatter.

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Dataset Card

Gini Coefficient After Vs Before Tax Wid Scatter | Asia (Our World in Data)

🌏 2,205 observations · 49 Asia countries · 1980–2024 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 2,205 observations of Gini Coefficient After Vs Before Tax Wid Scatter data across 49 Asia countries, spanning 1980–2024.

About the source

  • —Source: Our World in Data
  • —Publisher: Our World in Data
  • —License: cc-by-4.0
  • —Topic: Gini Coefficient After Vs Before Tax Wid Scatter

Geographic coverage

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

CountryRowsFirst yearLast year
AFG4519802024
ARE4519802024
ARM4519802024
AZE4519802024
BGD4519802024
BHR4519802024
BRN4519802024
BTN4519802024
CHN4519802024
CYP4519802024
GEO4519802024
IDN4519802024
IND4519802024
IRN4519802024
IRQ4519802024
...34 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Afghanistan
country_iso3string—AFG
yearint64—1980
Gini coefficient after taxfloat64—0.4994
Gini coefficient before taxfloat64—0.5245
Populationfloat64—13169313.0
World region according to OWIDstring—Asia

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-gini-coefficient-after-vs-before-tax-wid-scatter")
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="Gini coefficient after tax")

Citation

bibtex
@misc{asia_owid_gini_coefficient_after_vs_before_tax_wid_scatter_2024,
  title        = {Gini Coefficient After Vs Before Tax Wid Scatter | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2024},
  url          = {https://ourworldindata.org/grapher/gini-coefficient-after-vs-before-tax-wid-scatter},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-gini-coefficient-after-vs-before-tax-wid-scatter}}
}

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 2026-06-08 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/gini-coefficient-after-vs-before-tax-wid-scatter