---
license: cc-by-4.0
language:
- en
task_categories:
- tabular-classification
- tabular-regression
- time-series-forecasting
multilinguality: monolingual
size_categories:
- 1K<n<10K
tags:
- tabular
- africa
- our-world-in-data
- expected-years-of-schooling-vs-share-in-extreme-poverty
- owid
- long-run-series
- time-series
pretty_name: "Expected Years Of Schooling Vs Share In Extreme Poverty | Africa (Our World in Data)"
---

# Expected Years Of Schooling Vs Share In Extreme Poverty | Africa (Our World in Data)

🌍 **1,730 observations** · **54 Africa countries** · **1980–2024** · *Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)*

![rows](https://img.shields.io/badge/rows-1,730-blue) ![countries](https://img.shields.io/badge/countries-54-green) ![years](https://img.shields.io/badge/years-1980–2024-orange) ![license](https://img.shields.io/badge/license-cc-by-4.0-lightgrey)

## TL;DR

This dataset contains **1,730 observations** of `Expected Years Of Schooling Vs Share In Extreme Poverty` data across **54 Africa countries**, spanning **1980–2024**.

## About the source

- **Source:** [Our World in Data](https://ourworldindata.org/grapher/expected-years-of-schooling-vs-share-in-extreme-poverty)
- **Publisher:** Our World in Data
- **License:** [cc-by-4.0](https://creativecommons.org/licenses/by/4.0/)
- **Topic:** Expected Years Of Schooling Vs Share In Extreme Poverty

## Geographic coverage

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

| Country | Rows | First year | Last year |
|---------|-----:|-----------:|----------:|
| `CIV` | 38 | 1985 | 2023 |
| `GHA` | 36 | 1987 | 2023 |
| `COM` | 35 | 1990 | 2024 |
| `DZA` | 35 | 1988 | 2023 |
| `BWA` | 35 | 1985 | 2023 |
| `MAR` | 35 | 1984 | 2023 |
| `MRT` | 35 | 1987 | 2023 |
| `TUN` | 35 | 1985 | 2023 |
| `UGA` | 35 | 1989 | 2023 |
| `NGA` | 35 | 1985 | 2023 |
| `MDG` | 35 | 1980 | 2023 |
| `LSO` | 35 | 1986 | 2023 |
| `CAF` | 34 | 1990 | 2023 |
| `CMR` | 34 | 1990 | 2023 |
| `GMB` | 34 | 1990 | 2023 |
| ... | _39 more countries_ | | |

## Schema

| Column | Type | Description | Example |
|--------|------|-------------|---------|
| `country_name` | `string` | — | `Algeria` |
| `country_iso3` | `string` | — | `DZA` |
| `year` | `int64` | — | `1988` |
| `Expected years of schooling` | `float64` | — | `9.79789` |
| `Share of population in poverty ($3 a day)` | `float64` | — | `12.263000011444092` |
| `Population` | `float64` | — | `24109538.0` |
| `World region according to OWID` | `string` | — | `Africa` |

## Data quality & caveats

- `Expected years of schooling` column has 1.2% null values (filtered to non-null in this dataset).

## Usage

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-owid-expected-years-of-schooling-vs-share-in-extreme-poverty")
df = ds["train"].to_pandas()
print(df.head())
```

### Filter to one country

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

### Time-series for a single indicator

```python
sample = df.sort_values("year")
sample.plot(x="year", y="Expected years of schooling")
```

## Citation

```bibtex
@misc{africa_owid_expected_years_of_schooling_vs_share_in_extreme_poverty_2024,
  title        = {Expected Years Of Schooling Vs Share In Extreme Poverty | Africa (Our World in Data)},
  author       = {Our World in Data},
  year         = {2024},
  url          = {https://ourworldindata.org/grapher/expected-years-of-schooling-vs-share-in-extreme-poverty},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-owid-expected-years-of-schooling-vs-share-in-extreme-poverty}}
}
```

## License

Released under [cc-by-4.0](https://creativecommons.org/licenses/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](https://huggingface.co/electricsheepafrica)

---

_Provenance: ingested 2026-06-03 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/expected-years-of-schooling-vs-share-in-extreme-poverty_