electricsheepafrica/africa-ourairports-mar

Airports in Morocco

Publisher: OurAirports · Source: HDX · License: cc-by-igo · Updated: 2026-03-30

---

Abstract

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

Each row in this dataset represents first-level administrative unit observations. Data was last updated on HDX on 2026-03-30. Geographic scope: MAR.

Curated into ML-ready Parquet format by Electric Sheep Africa.

---

Dataset Characteristics

Domain	Humanitarian and development data
Unit of observation	First-level administrative unit observations
Rows (total)	46
Columns	24 (7 numeric, 16 categorical, 0 datetime)
Train split	36 rows
Test split	9 rows
Geographic scope	MAR
Publisher	OurAirports
HDX last updated	2026-03-30

---

Variables

Geographic — type (small_airport, large_airport, medium_airport), latitude_deg (range 28.4476–35.7317), longitude_deg (range -11.1617–-1.926), country_name (Morocco, #country +name), iso_country (MA, #country +code +iso2) and 5 others.

Temporal — last_updated.

Outcome / Measurement — score (range 0.0–1200.0).

Identifier / Metadata — id (range 3100.0–605980.0), ident (#meta +code, MA-0013, GMAZ), name (#loc +airport +name, El Jadida Airport, Zagora Airport), gps_code (#loc +airport +code +gps, GMMD, GMMO), icao_code and 3 others.

Other — elevation_ft (range 10.0–5459.0), continent (AF, #region +continent +code), scheduled_service (range 0.0–1.0), wikipedia_link.

---

Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-ourairports-mar")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

print(train.shape)
train.head()

---

Schema

Column	Type	Null %	Range / Sample Values
id	float64	2.2%	3100.0 – 605980.0 (mean 125316.0)
ident	object	0.0%	#meta +code, MA-0013, GMAZ
type	object	0.0%	small_airport, large_airport, medium_airport
name	object	0.0%	#loc +airport +name, El Jadida Airport, Zagora Airport
latitude_deg	float64	2.2%	28.4476 – 35.7317 (mean 32.5436)
longitude_deg	float64	2.2%	-11.1617 – -1.926 (mean -6.6818)
elevation_ft	float64	17.4%	10.0 – 5459.0 (mean 1166.9737)
continent	object	0.0%	AF, #region +continent +code
country_name	object	0.0%	Morocco, #country +name
iso_country	object	0.0%	MA, #country +code +iso2
region_name	object	0.0%	Casablanca-Settat Region, Souss-Massa Region, Marrakech-Safi Region
iso_region	object	0.0%	MA-06, MA-09, MA-07
local_region	float64	2.2%	1.0 – 10.0 (mean 5.6444)
municipality	object	0.0%	Casablanca, Zagora, #loc +municipality +name
scheduled_service	float64	2.2%	0.0 – 1.0 (mean 0.3333)
gps_code	object	37.0%	#loc +airport +code +gps, GMMD, GMMO
icao_code	object	41.3%
iata_code	object	52.2%
wikipedia_link	object	23.9%
keywords	object	60.9%
score	float64	2.2%	0.0 – 1200.0 (mean 375.5556)
last_updated	datetime64[ns, UTC]	2.2%
esa_source	object	0.0%
esa_processed	object	0.0%

---

Numeric Summary

Column	Min	Max	Mean	Median
id	3100.0	605980.0	125316.0	29845.0
latitude_deg	28.4476	35.7317	32.5436	32.8582
longitude_deg	-11.1617	-1.926	-6.6818	-6.8624
elevation_ft	10.0	5459.0	1166.9737	640.0
local_region	1.0	10.0	5.6444	6.0
scheduled_service	0.0	1.0	0.3333	0.0
score	0.0	1200.0	375.5556	50.0

---

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. 8 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, icao_code, iata_code, wikipedia_link, keywords.
• Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

---

Citation

@dataset{hdx_africa_ourairports_mar,
  title     = {Airports in Morocco},
  author    = {OurAirports},
  year      = {2026},
  url       = {https://data.humdata.org/dataset/ourairports-mar},
  note      = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

---

Electric Sheep Africa — Africa's ML dataset infrastructure. Lagos, Nigeria.