electricsheepafrica/africa-aviation-eritrea

Airports in Eritrea

Publisher: OurAirports · Source: HDX · License: Public Domain · Updated: 2026-04-15

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Abstract

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

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

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)	22
Columns	24 (6 numeric, 17 categorical, 0 datetime)
Train split	17 rows
Test split	4 rows
Geographic scope	ERI
Publisher	OurAirports
HDX last updated	2026-04-15

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Variables

Geographic — type (small_airport, medium_airport, closed), latitude_deg (range 13.0718–17.3354), longitude_deg (range 36.6303–42.645), country_name (Eritrea, #country +name), iso_country (ER, #country +code +iso2) and 5 others.

Temporal — last_updated.

Outcome / Measurement — score (range 0.0–750.0).

Identifier / Metadata — id (range 3202.0–607637.0), ident (#meta +code, HHAS, ER-0007), name (#loc +airport +name, Asmara International Airport, Derhib Airstrip), gps_code, icao_code and 3 others.

Other — elevation_ft (range 13.0–7991.0), 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-eritrea")
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	4.5%	3202.0 – 607637.0 (mean 401781.4286)
ident	object	0.0%	#meta +code, HHAS, ER-0007
type	object	0.0%	small_airport, medium_airport, closed
name	object	0.0%	#loc +airport +name, Asmara International Airport, Derhib Airstrip
latitude_deg	float64	4.5%	13.0718 – 17.3354 (mean 15.4025)
longitude_deg	float64	4.5%	36.6303 – 42.645 (mean 39.0452)
elevation_ft	float64	31.8%	13.0 – 7991.0 (mean 2725.7333)
continent	object	0.0%	AF, #region +continent +code
country_name	object	0.0%	Eritrea, #country +name
iso_country	object	0.0%	ER, #country +code +iso2
region_name	object	0.0%	Northern Red Sea Region, Gash-Barka Region, Southern Region
iso_region	object	0.0%	ER-SK, ER-GB, ER-DU
local_region	object	0.0%	SK, GB, DU
municipality	object	4.5%	Massawa, #loc +municipality +name, Dhu Bellu
scheduled_service	float64	4.5%	0.0 – 1.0 (mean 0.0476)
gps_code	object	22.7%
icao_code	object	22.7%
iata_code	object	77.3%
wikipedia_link	object	77.3%
keywords	object	50.0%
score	float64	4.5%	0.0 – 750.0 (mean 145.2381)
last_updated	datetime64[ns, UTC]	4.5%
esa_source	object	0.0%
esa_processed	object	0.0%

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Numeric Summary

Column	Min	Max	Mean	Median
id	3202.0	607637.0	401781.4286	594836.0
latitude_deg	13.0718	17.3354	15.4025	15.6135
longitude_deg	36.6303	42.645	39.0452	39.0398
elevation_ft	13.0	7991.0	2725.7333	1640.0
scheduled_service	0.0	1.0	0.0476	0.0
score	0.0	750.0	145.2381	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: elevation_ft, 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_eritrea,
  title     = {Airports in Eritrea},
  author    = {OurAirports},
  year      = {2026},
  url       = {https://data.humdata.org/dataset/ourairports-eri},
  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.