electricsheepafrica/africa-aviation-cote-divoire

Airports in Côte d'Ivoire

Publisher: OurAirports · Source: HDX · License: Public Domain · Updated: 2025-12-25

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Abstract

List of airports in Côte d'Ivoire, with latitude and longitude. Unverified community data from http://ourairports.com/countries/CI/

Each row in this dataset represents first-level administrative unit observations. Data was last updated on HDX on 2025-12-25. Geographic scope: CIV.

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)	33
Columns	23 (6 numeric, 16 categorical, 0 datetime)
Train split	26 rows
Test split	6 rows
Geographic scope	CIV
Publisher	OurAirports
HDX last updated	2025-12-25

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Variables

Geographic — type (small_airport, medium_airport, large_airport), latitude_deg (range 4.4378–9.6), longitude_deg (range -7.674–-2.7619), country_name (Côte d'Ivoire, #country +name), iso_country (CI, #country +code +iso2) and 4 others.

Temporal — last_updated.

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

Identifier / Metadata — id (range 2096.0–598859.0), ident (#meta +code, CI-0002, CI-0004), name (#loc +airport +name, Cosrou Airport, Alassane Ouattara Helipad), gps_code, icao_code and 3 others.

Other — elevation_ft (range 20.0–1583.0), 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-aviation-cote-divoire")
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	3.0%	2096.0 – 598859.0 (mean 118280.8438)
ident	object	0.0%	#meta +code, CI-0002, CI-0004
type	object	0.0%	small_airport, medium_airport, large_airport
name	object	0.0%	#loc +airport +name, Cosrou Airport, Alassane Ouattara Helipad
latitude_deg	float64	3.0%	4.4378 – 9.6 (mean 6.8521)
longitude_deg	float64	3.0%	-7.674 – -2.7619 (mean -5.4447)
elevation_ft	float64	12.1%	20.0 – 1583.0 (mean 715.4483)
continent	object	0.0%	AF, #region +continent +code
country_name	object	0.0%	Côte d'Ivoire, #country +name
iso_country	object	0.0%	CI, #country +code +iso2
region_name	object	0.0%	Bas-Sassandra District, Savanes District, Montagnes District
iso_region	object	0.0%	CI-BS, CI-SV, CI-MG
local_region	object	0.0%	BS, SV, MG
municipality	object	9.1%	Abidjan, #loc +municipality +name, Dimbokro
scheduled_service	float64	3.0%	0.0 – 1.0 (mean 0.125)
gps_code	object	24.2%
icao_code	object	24.2%
iata_code	object	27.3%
wikipedia_link	object	18.2%
score	float64	3.0%	0.0 – 1000.0 (mean 164.0625)
last_updated	datetime64[ns, UTC]	3.0%
esa_source	object	0.0%
esa_processed	object	0.0%

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Numeric Summary

Column	Min	Max	Mean	Median
id	2096.0	598859.0	118280.8438	31326.0
latitude_deg	4.4378	9.6	6.8521	6.6836
longitude_deg	-7.674	-2.7619	-5.4447	-5.2995
elevation_ft	20.0	1583.0	715.4483	732.0
scheduled_service	0.0	1.0	0.125	0.0
score	0.0	1000.0	164.0625	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.
• Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

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Citation

@dataset{hdx_africa_aviation_cote_divoire,
  title     = {Airports in Côte d'Ivoire},
  author    = {OurAirports},
  year      = {2025},
  url       = {https://data.humdata.org/dataset/ourairports-civ},
  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.