README.md

---
license: cc-by-4.0
language:
- en
task_categories:
- tabular-classification
- tabular-regression
- time-series-forecasting
multilinguality: monolingual
size_categories:
- n<1K
tags:
- tabular
- africa
- our-world-in-data
- agricultural-export-subsidies
- owid
- long-run-series
- time-series
pretty_name: "Agricultural Export Subsidies | Africa (Our World in Data)"
---

# Agricultural Export Subsidies | Africa (Our World in Data)

🌍 **87 observations** · **4 Africa countries** · **1995–2022** · *Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)*

![rows](https://img.shields.io/badge/rows-87-blue) ![countries](https://img.shields.io/badge/countries-4-green) ![years](https://img.shields.io/badge/years-1995–2022-orange) ![license](https://img.shields.io/badge/license-cc-by-4.0-lightgrey)

## TL;DR

This dataset contains **87 observations** of `Agricultural Export Subsidies` data across **4 Africa countries**, spanning **1995–2022**.

## About the source

- **Source:** [Our World in Data](https://ourworldindata.org/grapher/agricultural-export-subsidies)
- **Publisher:** Our World in Data
- **License:** [cc-by-4.0](https://creativecommons.org/licenses/by/4.0/)
- **Topic:** Agricultural Export Subsidies

## Geographic coverage

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

| Country | Rows | First year | Last year |
|---------|-----:|-----------:|----------:|
| `MAR` | 28 | 1995 | 2022 |
| `TUN` | 25 | 1995 | 2019 |
| `ZAF` | 24 | 1995 | 2018 |
| `MUS` | 10 | 2007 | 2021 |

## Schema

| Column | Type | Description | Example |
|--------|------|-------------|---------|
| `country_name` | `string` | — | `Mauritius` |
| `country_iso3` | `string` | — | `MUS` |
| `year` | `int64` | — | `2007` |
| `Agricultural export subsidies (millions of current United States dollars)` | `float64` | — | `100000.0` |

## Usage

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-owid-agricultural-export-subsidies")
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="Agricultural export subsidies (millions of current United States dollars)")
```

## Citation

```bibtex
@misc{africa_owid_agricultural_export_subsidies_2022,
  title        = {Agricultural Export Subsidies | Africa (Our World in Data)},
  author       = {Our World in Data},
  year         = {2022},
  url          = {https://ourworldindata.org/grapher/agricultural-export-subsidies},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-owid-agricultural-export-subsidies}}
}
```

## 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 2026-06-01 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/agricultural-export-subsidies_