electricsheepasia/asia-aviation-ourairports-tajikistan

Airports in Tajikistan

Publisher: OurAirports · Source: HDX · License: Public Domain · Updated: 2026-03-19

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Abstract

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

Each row in this dataset represents first-level administrative unit observations. Data was last updated on HDX on 2026-03-19. Geographic scope: TJK.

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	TJK
Publisher	OurAirports
HDX last updated	2026-03-19

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Variables

Geographic — type (small_airport, large_airport, medium_airport), latitude_deg (range 36.7094–40.3439), longitude_deg (range 67.6056–74.0247), country_name (Tajikistan, #country +name), iso_country (TJ, #country +code +iso2) and 5 others.

Temporal — last_updated.

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

Identifier / Metadata — id (range 6371.0–601910.0), ident (#meta +code, UTDD, UTDT), name (#loc +airport +name, Dushanbe International Airport, Bokhtar International Airport), gps_code, icao_code and 3 others.

Other — elevation_ft (range 1237.0–11962.0), continent (AS, #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/asia-aviation-ourairports-tajikistan")
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%	6371.0 – 601910.0 (mean 178800.6667)
ident	object	0.0%	#meta +code, UTDD, UTDT
type	object	0.0%	small_airport, large_airport, medium_airport
name	object	0.0%	#loc +airport +name, Dushanbe International Airport, Bokhtar International Airport
latitude_deg	float64	4.5%	36.7094 – 40.3439 (mean 38.3818)
longitude_deg	float64	4.5%	67.6056 – 74.0247 (mean 69.978)
elevation_ft	float64	22.7%	1237.0 – 11962.0 (mean 3547.3529)
continent	object	0.0%	AS, #region +continent +code
country_name	object	0.0%	Tajikistan, #country +name
iso_country	object	0.0%	TJ, #country +code +iso2
region_name	object	0.0%	Khatlon Region, Sughd Region, Gorno-Badakhshan Autonomous Region
iso_region	object	0.0%	TJ-KT, TJ-SU, TJ-GB
local_region	object	0.0%	KT, SU, GB
municipality	object	0.0%	Dushanbe, Ishkoshim, Bokhtar
scheduled_service	float64	4.5%	0.0 – 1.0 (mean 0.1905)
gps_code	object	72.7%
icao_code	object	77.3%
iata_code	object	77.3%
wikipedia_link	object	54.5%
keywords	object	36.4%
score	float64	4.5%	0.0 – 1000.0 (mean 257.1429)
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	6371.0	601910.0	178800.6667	44385.0
latitude_deg	36.7094	40.3439	38.3818	38.1904
longitude_deg	67.6056	74.0247	69.978	69.6947
elevation_ft	1237.0	11962.0	3547.3529	2379.0
scheduled_service	0.0	1.0	0.1905	0.0
score	0.0	1000.0	257.1429	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_asia_aviation_ourairports_tajikistan,
  title     = {Airports in Tajikistan},
  author    = {OurAirports},
  year      = {2026},
  url       = {https://data.humdata.org/dataset/ourairports-tjk},
  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.