electricsheepafrica/africa-aviation-ethiopia

Airports in Ethiopia

Publisher: OurAirports · Source: HDX · License: Public Domain · Updated: 2026-04-17

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Abstract

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

Each row in this dataset represents first-level administrative unit observations. Data was last updated on HDX on 2026-04-17. Geographic scope: ETH.

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)	71
Columns	24 (6 numeric, 17 categorical, 0 datetime)
Train split	56 rows
Test split	14 rows
Geographic scope	ETH
Publisher	OurAirports
HDX last updated	2026-04-17

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Variables

Geographic — type (small_airport, medium_airport, closed), latitude_deg (range 3.5623–14.1468), longitude_deg (range 34.5219–46.4214), country_name (Ethiopia, #country +name), iso_country (ET, #country +code +iso2) and 5 others.

Temporal — last_updated.

Outcome / Measurement — score (range 0.0–1050.0).

Identifier / Metadata — id (range 3157.0–607636.0), ident (#meta +code, HAMJ, HANJ), name (#loc +airport +name, Tume Airport, Nejjo Airport), gps_code, icao_code and 3 others.

Other — elevation_ft (range 630.0–8490.0), 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-ethiopia")
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	1.4%	3157.0 – 607636.0 (mean 160479.7286)
ident	object	0.0%	#meta +code, HAMJ, HANJ
type	object	0.0%	small_airport, medium_airport, closed
name	object	0.0%	#loc +airport +name, Tume Airport, Nejjo Airport
latitude_deg	float64	1.4%	3.5623 – 14.1468 (mean 8.5443)
longitude_deg	float64	1.4%	34.5219 – 46.4214 (mean 38.5693)
elevation_ft	float64	7.0%	630.0 – 8490.0 (mean 4822.0909)
continent	object	0.0%	AF, #region +continent +code
country_name	object	0.0%	Ethiopia, #country +name
iso_country	object	0.0%	ET, #country +code +iso2
region_name	object	0.0%	Oromia Region, Somali Region, Amhara Region
iso_region	object	0.0%	ET-OR, ET-SO, ET-AM
local_region	object	0.0%	OR, SO, AM
municipality	object	1.4%	Addis Ababa, Jijiga, Dessie
scheduled_service	float64	1.4%	0.0 – 1.0 (mean 0.3143)
gps_code	object	28.2%
icao_code	object	32.4%
iata_code	object	32.4%
wikipedia_link	object	35.2%
keywords	object	54.9%
score	float64	1.4%	0.0 – 1050.0 (mean 215.0)
last_updated	datetime64[ns, UTC]	1.4%
esa_source	object	0.0%
esa_processed	object	0.0%

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Numeric Summary

Column	Min	Max	Mean	Median
id	3157.0	607636.0	160479.7286	31887.5
latitude_deg	3.5623	14.1468	8.5443	8.1977
longitude_deg	34.5219	46.4214	38.5693	38.4434
elevation_ft	630.0	8490.0	4822.0909	5320.0
scheduled_service	0.0	1.0	0.3143	0.0
score	0.0	1050.0	215.0	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. 2 column(s) with >80% missing values were removed: local_code, home_link. 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, keywords.
• 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_ethiopia,
  title     = {Airports in Ethiopia},
  author    = {OurAirports},
  year      = {2026},
  url       = {https://data.humdata.org/dataset/ourairports-eth},
  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.