---
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
- air-trips-per-capita
- owid
- long-run-series
- time-series
pretty_name: "Air Trips Per Capita | Africa (Our World in Data)"
---

# Air Trips Per Capita | Africa (Our World in Data)

🌍 **106 observations** · **53 Africa countries** · **2018–2019** · *Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)*

![rows](https://img.shields.io/badge/rows-106-blue) ![countries](https://img.shields.io/badge/countries-53-green) ![years](https://img.shields.io/badge/years-2018–2019-orange) ![license](https://img.shields.io/badge/license-cc-by-4.0-lightgrey)

## TL;DR

This dataset contains **106 observations** of `Air Trips Per Capita` data across **53 Africa countries**, spanning **2018–2019**.

## About the source

- **Source:** [Our World in Data](https://ourworldindata.org/grapher/air-trips-per-capita)
- **Publisher:** Our World in Data
- **License:** [cc-by-4.0](https://creativecommons.org/licenses/by/4.0/)
- **Topic:** Air Trips Per Capita

## Geographic coverage

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

| Country | Rows | First year | Last year |
|---------|-----:|-----------:|----------:|
| `AGO` | 2 | 2018 | 2019 |
| `BDI` | 2 | 2018 | 2019 |
| `BEN` | 2 | 2018 | 2019 |
| `BFA` | 2 | 2018 | 2019 |
| `BWA` | 2 | 2018 | 2019 |
| `CAF` | 2 | 2018 | 2019 |
| `CIV` | 2 | 2018 | 2019 |
| `CMR` | 2 | 2018 | 2019 |
| `COD` | 2 | 2018 | 2019 |
| `COG` | 2 | 2018 | 2019 |
| `COM` | 2 | 2018 | 2019 |
| `CPV` | 2 | 2018 | 2019 |
| `DJI` | 2 | 2018 | 2019 |
| `DZA` | 2 | 2018 | 2019 |
| `EGY` | 2 | 2018 | 2019 |
| ... | _38 more countries_ | | |

## Schema

| Column | Type | Description | Example |
|--------|------|-------------|---------|
| `country_name` | `string` | — | `Algeria` |
| `country_iso3` | `string` | — | `DZA` |
| `year` | `int64` | — | `2018` |
| `Air travel trips per capita` | `float64` | — | `0.18` |

## Usage

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-owid-air-trips-per-capita")
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="Air travel trips per capita")
```

## Citation

```bibtex
@misc{africa_owid_air_trips_per_capita_2019,
  title        = {Air Trips Per Capita | Africa (Our World in Data)},
  author       = {Our World in Data},
  year         = {2019},
  url          = {https://ourworldindata.org/grapher/air-trips-per-capita},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-owid-air-trips-per-capita}}
}
```

## 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/air-trips-per-capita_