electricsheepafrica/africa-owid-poverty-gap-index-extreme-poverty

Poverty Gap Index Extreme Poverty | Africa (Our World in Data)

🌍 269 observations · 51 Africa countries · 1980–2024 · Repackaged by Electric Sheep Africa

TL;DR

This dataset contains 269 observations of Poverty Gap Index Extreme Poverty data across 51 Africa countries, spanning 1980–2024.

About the source

• Source: Our World in Data
• Publisher: Our World in Data
• License: cc-by-4.0
• Topic: Poverty Gap Index Extreme Poverty

Geographic coverage

51 Africa countries · top rows shown below, sorted by row count:

Country	Rows	First year	Last year
CIV	11	1985	2021
EGY	11	1990	2021
ZMB	10	1991	2022
UGA	10	1989	2019
MDG	9	1980	2021
NGA	9	1985	2022
NER	8	1992	2021
KEN	8	1992	2022
MRT	8	1987	2019
TUN	8	1985	2021
SEN	7	1991	2021
BFA	7	1994	2021
GHA	7	1987	2016
ZAF	7	1993	2022
GIN	6	1991	2018
...	36 more countries

Schema

Column	Type	Description	Example
country_name	string	—	Algeria
country_iso3	string	—	DZA
year	int64	—	1988
Poverty gap index ($3 a day)	float64	—	2.467120811343193

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-owid-poverty-gap-index-extreme-poverty")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

kenya = df[df["country_iso3"] == "KEN"]

Time-series for a single indicator

sample = df.sort_values("year")
sample.plot(x="year", y="Poverty gap index ($3 a day)")

Citation

@misc{africa_owid_poverty_gap_index_extreme_poverty_2024,
  title        = {Poverty Gap Index Extreme Poverty | Africa (Our World in Data)},
  author       = {Our World in Data},
  year         = {2024},
  url          = {https://ourworldindata.org/grapher/poverty-gap-index-extreme-poverty},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-owid-poverty-gap-index-extreme-poverty}}
}

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 Africa repackaging.

About Electric Sheep

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

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Provenance: ingested 2026-06-06 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/poverty-gap-index-extreme-poverty