electricsheepafrica/africa-aviation-lesotho

Airports in Lesotho

Publisher: OurAirports · Source: HDX · License: Public Domain · Updated: 2026-01-24

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Abstract

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

Each row in this dataset represents first-level administrative unit observations. Data was last updated on HDX on 2026-01-24. Geographic scope: LSO.

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)	35
Columns	23 (6 numeric, 16 categorical, 0 datetime)
Train split	28 rows
Test split	7 rows
Geographic scope	LSO
Publisher	OurAirports
HDX last updated	2026-01-24

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Variables

Geographic — type (small_airport, #loc +airport +type, large_airport), latitude_deg (range -30.4075–-28.8556), longitude_deg (range 27.2436–29.1919), country_name (Lesotho, #country +name), iso_country (LS, #country +code +iso2) and 4 others.

Temporal — last_updated.

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

Identifier / Metadata — id (range 3022.0–525285.0), ident (#meta +code, FXSE, FXMK), name (#loc +airport +name, Sehlabathebe Airport, Mokhotlong Airport), gps_code, icao_code and 3 others.

Other — elevation_ft (range 5105.0–10400.0), 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-lesotho")
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	2.9%	3022.0 – 525285.0 (mean 44140.4706)
ident	object	0.0%	#meta +code, FXSE, FXMK
type	object	0.0%	small_airport, #loc +airport +type, large_airport
name	object	0.0%	#loc +airport +name, Sehlabathebe Airport, Mokhotlong Airport
latitude_deg	float64	2.9%	-30.4075 – -28.8556 (mean -29.6484)
longitude_deg	float64	2.9%	27.2436 – 29.1919 (mean 28.428)
elevation_ft	float64	2.9%	5105.0 – 10400.0 (mean 6603.1176)
continent	object	0.0%	AF, #region +continent +code
country_name	object	0.0%	Lesotho, #country +name
iso_country	object	0.0%	LS, #country +code +iso2
region_name	object	0.0%	Thaba-Tseka District, Mohale's Hoek District, Qacha's Nek District
iso_region	object	0.0%	LS-K, LS-F, LS-H
local_region	object	0.0%	K, F, H
municipality	object	2.9%	#loc +municipality +name, Sehlabathebe, Mokhotlong
scheduled_service	float64	2.9%	0.0 – 1.0 (mean 0.0294)
gps_code	object	0.0%
icao_code	object	45.7%
iata_code	object	48.6%
wikipedia_link	object	11.4%
score	float64	2.9%	50.0 – 1000.0 (mean 77.9412)
last_updated	datetime64[ns, UTC]	2.9%
esa_source	object	0.0%
esa_processed	object	0.0%

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Numeric Summary

Column	Min	Max	Mean	Median
id	3022.0	525285.0	44140.4706	31289.5
latitude_deg	-30.4075	-28.8556	-29.6484	-29.7046
longitude_deg	27.2436	29.1919	28.428	28.5398
elevation_ft	5105.0	10400.0	6603.1176	6900.0
scheduled_service	0.0	1.0	0.0294	0.0
score	50.0	1000.0	77.9412	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: 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_lesotho,
  title     = {Airports in Lesotho},
  author    = {OurAirports},
  year      = {2026},
  url       = {https://data.humdata.org/dataset/ourairports-lso},
  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.