electricsheepasia/asia-aviation-ourairports-kazakhstan
Airports in Kazakhstan Publisher: OurAirports · Source: HDX · License: Public Domain · Updated: 2026-04-09 Abstract List of airports in Kazakhstan, with latitude and longitude. Unverified community data from http://ourairports.com/countries/KZ/ Each row in this dataset represents first-level administrative unit observations. Data was last updated on HDX on 2026-04-09. Geographic scope: KAZ. Curated into ML-ready Parquet format by Electric Sheep Africa.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-aviation-ourairports-kazakhstan.
Airports in Kazakhstan
Publisher: OurAirports · Source: HDX · License: Public Domain · Updated: 2026-04-09
Abstract
List of airports in Kazakhstan, with latitude and longitude. Unverified community data from http://ourairports.com/countries/KZ/
Each row in this dataset represents first-level administrative unit observations. Data was last updated on HDX on 2026-04-09. Geographic scope: KAZ.
Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).
Dataset Characteristics
Variables
Geographic — type (smallairport, heliport, closed), `latitudedeg (range 40.7091–54.9702), longitudedeg` (range 50.2441–84.8877), `countryname (Kazakhstan, #country +name), iso_country` (KZ, #country +code +iso2) and 5 others.
Temporal — last_updated.
Outcome / Measurement — score (range 0.0–1275.0).
Identifier / Metadata — id (range 3964.0–607057.0), ident (#meta +code, UAAA, UACC), name (Novotroitskoye Airport, Almaty International Airport, #loc +airport +name), gps_code, esa_source and 1 others.
Other — elevation_ft (range -88.0–6322.0), continent (AS, #region +continent +code), scheduled_service (range 0.0–1.0).
Quick Start
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/asia-aviation-ourairports-kazakhstan")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()
print(train.shape)
train.head()Schema
Numeric Summary
Curation
Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snakecase. Common missing-value markers (`N/A`, `null`, `none`, `-`, `unknown`, `no data`, `#N/A`) were unified to `NaN`. 5 column(s) with >80% missing values were removed: `icaocode, iatacode`, `localcode, homelink`, `wikipedialink`. 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.
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,keywords. - Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.
Citation
@dataset{hdx_asia_aviation_ourairports_kazakhstan,
title = {Airports in Kazakhstan},
author = {OurAirports},
year = {2026},
url = {https://data.humdata.org/dataset/ourairports-kaz},
note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}[Electric Sheep Africa](https://huggingface.co/electricsheepafrica) — Africa's ML dataset infrastructure. Lagos, Nigeria.
