electricsheepafrica/africa-mauritius-passenger-arrival-and-departure-by-year-by-type-of-passeng-0a20cc01

Passenger arrival and departure by year, by type of passenger and by purpose of stay for Mauritius | Africa (Mauritius official open data)

132 rows - 1 Africa country - 2009-2020 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Mauritius as ML-ready Parquet. The CSV is the provenance boundary; all usable indicators or tabular columns from the source file stay together in this repo.

About the source

• Source: Passenger arrival and departure by year, by type of passenger and by purpose of stay for Mauritius
• Publisher: MDPA
• Resource: DataSet_passenger-traffic-by-type-of-passenger-and-purpose-of-stay.csv
• License: CC BY-SA 4.0
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
MUS	132	2009	2020	Mauritius

Indicators or Resource Contents

• passenger-arrival-and-departure-by-year-by-type-of-passenger-and-by-purp-8c15acea - Passenger arrival and departure by year, by type of passenger and by purpose of stay for Mauritius

Schema

Column	Type	Description	Example
indicator_id	object	Stable indicator identifier.	passenger-arrival-and-departure-by-year-by-type-of-passenger-and-by-purp
indicator_name	object	Human-readable indicator name.	Passenger arrival and departure by year, by type of passenger and by pur
country_iso3	object	ISO3 country code.	MUS
country_name	object	Country name.	Mauritius
year	Int64	Observation year.	2009
value	float64	Numeric observation value.	819739.0
unit	object	Measurement unit, when available.	source_units_unspecified
dimension_traffic	string	Source dimension.	Arrival
dimension_passenger_category	string	Source dimension.	Visitors
dimension_passenger_sub_category	string	Source dimension.	On holiday
source_provider	object	Publishing organization.	MDPA
source_dataset	object	Source package title.	Passenger arrival and departure by year, by type of passenger and by pur
source_resource	object	Source resource title.	DataSet_passenger-traffic-by-type-of-passenger-and-purpose-of-stay.csv
source_package_id	object	CKAN package UUID.	4f59fde3-9158-4531-b3f8-7b5cbb14edb7
source_resource_id	object	CKAN resource UUID.	0fb87f9d-8265-404e-b7d0-3ab710897d32
source_url	object	Original CSV URL.	https://data.govmu.org/dataset/4f59fde3-9158-4531-b3f8-7b5cbb14edb7/reso
license_id	object	Source license identifier.	CC-BY-SA-4.0
retrieved_at	object	UTC retrieval timestamp.	2026-07-16T19:23:24Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritius-passenger-arrival-and-departure-by-year-by-type-of-passeng-0a20cc01")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "MUS"]

Work with indicators

if "indicator_id" in df.columns:
    print(df["indicator_id"].value_counts().head())
    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])

Citation

@misc{electric_sheep_africa_africa_mauritius_passenger_arrival_and_departure_by_year_by_type_of_passeng_0a20_2020,
  title        = {Passenger arrival and departure by year, by type of passenger and by purpose of stay for Mauritius | Africa (Mauritius official open data)},
  author       = {MDPA},
  year         = {2020},
  url          = {https://data.govmu.org/dataset/passenger-arrival-and-departure-year-type-passenger-and-purpose-stay-mauritius},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-passenger-arrival-and-departure-by-year-by-type-of-passeng-0a20cc01}}
}

License

Released under CC BY-SA 4.0.

Original data (c) MDPA. When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.

About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on Hugging Face. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepafrica

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Provenance: ingested 2026-07-16 via the Electric Sheep pipeline. Source URL: https://data.govmu.org/dataset/4f59fde3-9158-4531-b3f8-7b5cbb14edb7/resource/0fb87f9d-8265-404e-b7d0-3ab710897d32/download/dataset_passenger-traffic-by-type-of-passenger-and-purpose-of-stay.csv