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indicator_id
stringclasses
2 values
indicator_name
stringclasses
2 values
country_iso3
stringclasses
1 value
country_name
stringclasses
1 value
date
stringdate
1970-01-01 00:00:00
1970-01-01 00:00:00
year
int64
1.97k
1.97k
value
float64
3.71k
1.34M
unit
stringclasses
1 value
dimension_year
stringclasses
5 values
source_provider
stringclasses
1 value
source_dataset
stringclasses
1 value
source_resource
stringclasses
1 value
source_package_id
stringclasses
1 value
source_resource_id
stringclasses
1 value
source_url
stringclasses
1 value
license_id
stringclasses
1 value
retrieved_at
stringdate
2026-07-16 19:23:24
2026-07-16 19:23:24
international-arrivals-by-air-and-by-type-2019-2022-d-2019-f97d13dd
International arrivals by air and by type, 2019 - 2022 - d 2019
MUS
Mauritius
1970-01-01
1,970
1,338,235
source_units_unspecified
Tourists
MDPA
International arrivals by air and by type, 2019 - 2022
CSV File
c2ac7787-685b-46ba-a91f-6c9125a6277c
3d10ee4b-9811-4118-b3b3-09ee78a1b8d3
https://data.govmu.org/dataset/c2ac7787-685b-46ba-a91f-6c9125a6277c/resource/3d10ee4b-9811-4118-b3b3-09ee78a1b8d3/download/book1.csv
cc-by
2026-07-16T19:23:24Z
international-arrivals-by-air-and-by-type-2019-2022-d-2019-f97d13dd
International arrivals by air and by type, 2019 - 2022 - d 2019
MUS
Mauritius
1970-01-01
1,970
20,670
source_units_unspecified
Excursionists
MDPA
International arrivals by air and by type, 2019 - 2022
CSV File
c2ac7787-685b-46ba-a91f-6c9125a6277c
3d10ee4b-9811-4118-b3b3-09ee78a1b8d3
https://data.govmu.org/dataset/c2ac7787-685b-46ba-a91f-6c9125a6277c/resource/3d10ee4b-9811-4118-b3b3-09ee78a1b8d3/download/book1.csv
cc-by
2026-07-16T19:23:24Z
international-arrivals-by-air-and-by-type-2019-2022-d-2019-f97d13dd
International arrivals by air and by type, 2019 - 2022 - d 2019
MUS
Mauritius
1970-01-01
1,970
132,660
source_units_unspecified
Interlining passengers (direct transit)
MDPA
International arrivals by air and by type, 2019 - 2022
CSV File
c2ac7787-685b-46ba-a91f-6c9125a6277c
3d10ee4b-9811-4118-b3b3-09ee78a1b8d3
https://data.govmu.org/dataset/c2ac7787-685b-46ba-a91f-6c9125a6277c/resource/3d10ee4b-9811-4118-b3b3-09ee78a1b8d3/download/book1.csv
cc-by
2026-07-16T19:23:24Z
international-arrivals-by-air-and-by-type-2019-2022-d-2019-f97d13dd
International arrivals by air and by type, 2019 - 2022 - d 2019
MUS
Mauritius
1970-01-01
1,970
329,417
source_units_unspecified
Mauritian residents
MDPA
International arrivals by air and by type, 2019 - 2022
CSV File
c2ac7787-685b-46ba-a91f-6c9125a6277c
3d10ee4b-9811-4118-b3b3-09ee78a1b8d3
https://data.govmu.org/dataset/c2ac7787-685b-46ba-a91f-6c9125a6277c/resource/3d10ee4b-9811-4118-b3b3-09ee78a1b8d3/download/book1.csv
cc-by
2026-07-16T19:23:24Z
international-arrivals-by-air-and-by-type-2019-2022-d-2019-f97d13dd
International arrivals by air and by type, 2019 - 2022 - d 2019
MUS
Mauritius
1970-01-01
1,970
104,441
source_units_unspecified
Other (including crew)
MDPA
International arrivals by air and by type, 2019 - 2022
CSV File
c2ac7787-685b-46ba-a91f-6c9125a6277c
3d10ee4b-9811-4118-b3b3-09ee78a1b8d3
https://data.govmu.org/dataset/c2ac7787-685b-46ba-a91f-6c9125a6277c/resource/3d10ee4b-9811-4118-b3b3-09ee78a1b8d3/download/book1.csv
cc-by
2026-07-16T19:23:24Z
international-arrivals-by-air-and-by-type-2019-2022-d-2022-71c04484
International arrivals by air and by type, 2019 - 2022 - d 2022
MUS
Mauritius
1970-01-01
1,970
990,099
source_units_unspecified
Tourists
MDPA
International arrivals by air and by type, 2019 - 2022
CSV File
c2ac7787-685b-46ba-a91f-6c9125a6277c
3d10ee4b-9811-4118-b3b3-09ee78a1b8d3
https://data.govmu.org/dataset/c2ac7787-685b-46ba-a91f-6c9125a6277c/resource/3d10ee4b-9811-4118-b3b3-09ee78a1b8d3/download/book1.csv
cc-by
2026-07-16T19:23:24Z
international-arrivals-by-air-and-by-type-2019-2022-d-2022-71c04484
International arrivals by air and by type, 2019 - 2022 - d 2022
MUS
Mauritius
1970-01-01
1,970
3,706
source_units_unspecified
Excursionists
MDPA
International arrivals by air and by type, 2019 - 2022
CSV File
c2ac7787-685b-46ba-a91f-6c9125a6277c
3d10ee4b-9811-4118-b3b3-09ee78a1b8d3
https://data.govmu.org/dataset/c2ac7787-685b-46ba-a91f-6c9125a6277c/resource/3d10ee4b-9811-4118-b3b3-09ee78a1b8d3/download/book1.csv
cc-by
2026-07-16T19:23:24Z
international-arrivals-by-air-and-by-type-2019-2022-d-2022-71c04484
International arrivals by air and by type, 2019 - 2022 - d 2022
MUS
Mauritius
1970-01-01
1,970
58,028
source_units_unspecified
Interlining passengers (direct transit)
MDPA
International arrivals by air and by type, 2019 - 2022
CSV File
c2ac7787-685b-46ba-a91f-6c9125a6277c
3d10ee4b-9811-4118-b3b3-09ee78a1b8d3
https://data.govmu.org/dataset/c2ac7787-685b-46ba-a91f-6c9125a6277c/resource/3d10ee4b-9811-4118-b3b3-09ee78a1b8d3/download/book1.csv
cc-by
2026-07-16T19:23:24Z
international-arrivals-by-air-and-by-type-2019-2022-d-2022-71c04484
International arrivals by air and by type, 2019 - 2022 - d 2022
MUS
Mauritius
1970-01-01
1,970
234,439
source_units_unspecified
Mauritian residents
MDPA
International arrivals by air and by type, 2019 - 2022
CSV File
c2ac7787-685b-46ba-a91f-6c9125a6277c
3d10ee4b-9811-4118-b3b3-09ee78a1b8d3
https://data.govmu.org/dataset/c2ac7787-685b-46ba-a91f-6c9125a6277c/resource/3d10ee4b-9811-4118-b3b3-09ee78a1b8d3/download/book1.csv
cc-by
2026-07-16T19:23:24Z
international-arrivals-by-air-and-by-type-2019-2022-d-2022-71c04484
International arrivals by air and by type, 2019 - 2022 - d 2022
MUS
Mauritius
1970-01-01
1,970
85,922
source_units_unspecified
Other (including crew)
MDPA
International arrivals by air and by type, 2019 - 2022
CSV File
c2ac7787-685b-46ba-a91f-6c9125a6277c
3d10ee4b-9811-4118-b3b3-09ee78a1b8d3
https://data.govmu.org/dataset/c2ac7787-685b-46ba-a91f-6c9125a6277c/resource/3d10ee4b-9811-4118-b3b3-09ee78a1b8d3/download/book1.csv
cc-by
2026-07-16T19:23:24Z

International arrivals by air and by type, 2019 - 2022 | Africa (Mauritius official open data)

10 rows - 1 Africa country - 1970 - Repackaged by Electric Sheep Africa

rows countries years indicators license

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

Geographic coverage

1 Africa country:

Country Rows First year Last year Name
MUS 10 1970 1970 Mauritius

Indicators or Resource Contents

  • international-arrivals-by-air-and-by-type-2019-2022-d-2019-f97d13dd - International arrivals by air and by type, 2019 - 2022 - d 2019
  • international-arrivals-by-air-and-by-type-2019-2022-d-2022-71c04484 - International arrivals by air and by type, 2019 - 2022 - d 2022

Schema

Column Type Description Example
indicator_id object Stable indicator identifier. international-arrivals-by-air-and-by-type-2019-2022-d-2019-f97d13dd
indicator_name object Human-readable indicator name. International arrivals by air and by type, 2019 - 2022 - d 2019
country_iso3 object ISO3 country code. MUS
country_name object Country name. Mauritius
date string Observation date. 1970-01-01
year Int64 Observation year. 1970
value float64 Numeric observation value. 1338235.0
unit object Measurement unit, when available. source_units_unspecified
dimension_year string Source dimension. Tourists
source_provider object Publishing organization. MDPA
source_dataset object Source package title. International arrivals by air and by type, 2019 - 2022
source_resource object Source resource title. CSV File
source_package_id object CKAN package UUID. c2ac7787-685b-46ba-a91f-6c9125a6277c
source_resource_id object CKAN resource UUID. 3d10ee4b-9811-4118-b3b3-09ee78a1b8d3
source_url object Original CSV URL. https://data.govmu.org/dataset/c2ac7787-685b-46ba-a91f-6c9125a6277c/reso
license_id object Source license identifier. cc-by
retrieved_at object UTC retrieval timestamp. 2026-07-16T19:23:24Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritius-international-arrivals-by-air-and-by-type-2019-2022-feaa8412")
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_international_arrivals_by_air_and_by_type_2019_2022_feaa8412_1970,
  title        = {International arrivals by air and by type, 2019 - 2022 | Africa (Mauritius official open data)},
  author       = {MDPA},
  year         = {1970},
  url          = {https://data.govmu.org/dataset/international-arrivals-by-air-and-by-type-2019-2022},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-international-arrivals-by-air-and-by-type-2019-2022-feaa8412}}
}

License

Released under CC BY 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


Provenance: ingested 2026-07-16 via the Electric Sheep pipeline. Source URL: https://data.govmu.org/dataset/c2ac7787-685b-46ba-a91f-6c9125a6277c/resource/3d10ee4b-9811-4118-b3b3-09ee78a1b8d3/download/book1.csv

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