README.md

---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license: other
multilinguality:
- monolingual
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- other
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- aviation
- facilities-infrastructure
- geodata
- hxl
- transportation
- bfa
pretty_name: "Airports in Burkina Faso"
dataset_info:
  splits:
    - name: train
      num_examples: 41
    - name: test
      num_examples: 10
---

# Airports in Burkina Faso

**Publisher:** OurAirports · **Source:** [HDX](https://data.humdata.org/dataset/ourairports-bfa) · **License:** `Public Domain` · **Updated:** 2026-04-15

---

## Abstract

List of airports in Burkina Faso, with latitude and longitude. Unverified community data from http://ourairports.com/countries/BF/

Each row in this dataset represents first-level administrative unit observations. Data was last updated on HDX on 2026-04-15. Geographic scope: **BFA**.

*Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).*

---

## Dataset Characteristics

| | |
|---|---|
| **Domain** | Humanitarian and development data |
| **Unit of observation** | First-level administrative unit observations |
| **Rows (total)** | 52 |
| **Columns** | 23 (6 numeric, 16 categorical, 0 datetime) |
| **Train split** | 41 rows |
| **Test split** | 10 rows |
| **Geographic scope** | BFA |
| **Publisher** | OurAirports |
| **HDX last updated** | 2026-04-15 |

---

## Variables

**Geographic** — `type` (small_airport, large_airport, closed), `latitude_deg` (range 9.883–14.7909), `longitude_deg` (range -5.35–1.7846), `country_name` (Burkina Faso, #country +name), `iso_country` (BF, #country +code +iso2) and 4 others.

**Temporal** — `last_updated`.

**Outcome / Measurement** — `score` (range 50.0–1000.0).

**Identifier / Metadata** — `id` (range 2088.0–597081.0), `ident` (#meta +code, DFFD, DFCK), `name` (#loc +airport +name, Ouagadougou Thomas Sankara International Airport, Koudougou Airport), `gps_code`, `icao_code` and 3 others.

**Other** — `elevation_ft` (range 699.0–1706.0), `continent` (AF, #region +continent +code), `scheduled_service` (range 0.0–1.0), `wikipedia_link`.

---

## Quick Start

```python
from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-aviation-burkina-faso")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

print(train.shape)
train.head()
```

---

## Schema

| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `id` | float64 | 1.9% | 2088.0 – 597081.0 (mean 46965.8431) |
| `ident` | object | 0.0% | #meta +code, DFFD, DFCK |
| `type` | object | 0.0% | small_airport, large_airport, closed |
| `name` | object | 0.0% | #loc +airport +name, Ouagadougou Thomas Sankara International Airport, Koudougou Airport |
| `latitude_deg` | float64 | 1.9% | 9.883 – 14.7909 (mean 12.2922) |
| `longitude_deg` | float64 | 1.9% | -5.35 – 1.7846 (mean -1.688) |
| `elevation_ft` | float64 | 1.9% | 699.0 – 1706.0 (mean 1007.1176) |
| `continent` | object | 0.0% | AF, #region +continent +code |
| `country_name` | object | 0.0% | Burkina Faso, #country +name |
| `iso_country` | object | 0.0% | BF, #country +code +iso2 |
| `region_name` | object | 0.0% | Oudalan Province, Tapoa Province, Comoe Province |
| `iso_region` | object | 0.0% | BF-OUD, BF-TAP, BF-COM |
| `local_region` | object | 0.0% | OUD, TAP, COM |
| `municipality` | object | 0.0% | #loc +municipality +name, Ouagadougou, Koudougou |
| `scheduled_service` | float64 | 1.9% | 0.0 – 1.0 (mean 0.0392) |
| `gps_code` | object | 3.8% |  |
| `icao_code` | object | 28.8% |  |
| `iata_code` | object | 46.2% |  |
| `wikipedia_link` | object | 26.9% |  |
| `score` | float64 | 1.9% | 50.0 – 1000.0 (mean 87.2549) |
| `last_updated` | datetime64[ns, UTC] | 1.9% |  |
| `esa_source` | object | 0.0% |  |
| `esa_processed` | object | 0.0% |  |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `id` | 2088.0 | 597081.0 | 46965.8431 | 30908.0 |
| `latitude_deg` | 9.883 | 14.7909 | 12.2922 | 12.2 |
| `longitude_deg` | -5.35 | 1.7846 | -1.688 | -1.6247 |
| `elevation_ft` | 699.0 | 1706.0 | 1007.1176 | 984.0 |
| `scheduled_service` | 0.0 | 1.0 | 0.0392 | 0.0 |
| `score` | 50.0 | 1000.0 | 87.2549 | 50.0 |

---

## Curation

Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (`N/A`, `null`, `none`, `-`, `unknown`, `no data`, `#N/A`) were unified to `NaN`. 3 column(s) with >80% missing values were removed: `local_code`, `home_link`, `keywords`. 7 column(s) were cast from string to numeric or datetime based on parse-success rate (>85% threshold). The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.

---

## Limitations

- Data originates from OurAirports and has not been independently validated by ESA.
- Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
- The following columns have >20% missing values and should be treated with caution in modelling: `icao_code`, `iata_code`, `wikipedia_link`.
- Refer to the [original HDX dataset page](https://data.humdata.org/dataset/ourairports-bfa) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_aviation_burkina_faso,
  title     = {Airports in Burkina Faso},
  author    = {OurAirports},
  year      = {2026},
  url       = {https://data.humdata.org/dataset/ourairports-bfa},
  note      = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}
```

---

*[Electric Sheep Africa](https://huggingface.co/electricsheepafrica) — Africa's ML dataset infrastructure. Lagos, Nigeria.*