electricsheepafrica/africa-ourairports-caf

Airports in the Central African Republic

Publisher: OurAirports · Source: HDX · License: cc-by-igo · Updated: 2026-01-10

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Abstract

List of airports in the Central African Republic, with latitude and longitude. Unverified community data from http://ourairports.com/countries/CF/

Each row in this dataset represents first-level administrative unit observations. Data was last updated on HDX on 2026-01-10. Geographic scope: CAF.

Curated into ML-ready Parquet format by Electric Sheep Africa.

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Dataset Characteristics

Domain	Humanitarian and development data
Unit of observation	First-level administrative unit observations
Rows (total)	50
Columns	23 (6 numeric, 16 categorical, 0 datetime)
Train split	40 rows
Test split	10 rows
Geographic scope	CAF
Publisher	OurAirports
HDX last updated	2026-01-10

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Variables

Geographic — type (small_airport, closed, #loc +airport +type), latitude_deg (range 2.924–10.2364), longitude_deg (range 15.15–27.217), country_name (Central African Republic, #country +name), iso_country (CF, #country +code +iso2) and 4 others.

Temporal — last_updated.

Outcome / Measurement — score (range 0.0–1000.0).

Identifier / Metadata — id (range 2873.0–506976.0), ident (#meta +code, FEFW, CF-0012), name (#loc +airport +name, Ouadda Airport, Kavadja Airport), gps_code, icao_code and 3 others.

Other — elevation_ft (range 1208.0–3464.0), continent (AF, #region +continent +code), scheduled_service (range 0.0–1.0), wikipedia_link.

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-ourairports-caf")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

print(train.shape)
train.head()

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Schema

Column	Type	Null %	Range / Sample Values
id	float64	2.0%	2873.0 – 506976.0 (mean 118785.2653)
ident	object	0.0%	#meta +code, FEFW, CF-0012
type	object	0.0%	small_airport, closed, #loc +airport +type
name	object	0.0%	#loc +airport +name, Ouadda Airport, Kavadja Airport
latitude_deg	float64	2.0%	2.924 – 10.2364 (mean 6.2806)
longitude_deg	float64	2.0%	15.15 – 27.217 (mean 20.3336)
elevation_ft	float64	10.0%	1208.0 – 3464.0 (mean 1832.6889)
continent	object	0.0%	AF, #region +continent +code
country_name	object	0.0%	Central African Republic, #country +name
iso_country	object	0.0%	CF, #country +code +iso2
region_name	object	0.0%	Bamingui-Bangoran, Haute-Kotto, Haut-Mbomou
iso_region	object	0.0%	CF-BB, CF-HK, CF-HM
local_region	object	0.0%	BB, HK, HM
municipality	object	0.0%	Obo, #loc +municipality +name, Grimari
scheduled_service	float64	2.0%	0.0 – 1.0 (mean 0.0204)
gps_code	object	30.0%
icao_code	object	38.0%
iata_code	object	54.0%
wikipedia_link	object	32.0%
score	float64	2.0%	0.0 – 1000.0 (mean 68.3673)
last_updated	datetime64[ns, UTC]	2.0%
esa_source	object	0.0%
esa_processed	object	0.0%

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Numeric Summary

Column	Min	Max	Mean	Median
id	2873.0	506976.0	118785.2653	31122.0
latitude_deg	2.924	10.2364	6.2806	5.847
longitude_deg	15.15	27.217	20.3336	20.1718
elevation_ft	1208.0	3464.0	1832.6889	1759.0
scheduled_service	0.0	1.0	0.0204	0.0
score	0.0	1000.0	68.3673	50.0

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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.

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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: gps_code, icao_code, iata_code, wikipedia_link.
• Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

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Citation

@dataset{hdx_africa_ourairports_caf,
  title     = {Airports in the Central African Republic},
  author    = {OurAirports},
  year      = {2026},
  url       = {https://data.humdata.org/dataset/ourairports-caf},
  note      = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

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Electric Sheep Africa — Africa's ML dataset infrastructure. Lagos, Nigeria.