electricsheepafrica/africa-mauritius-area-harvested-of-estates-metayer-and-owner-planters-by-re-d1917192

Area harvested of estates, metayer and owner -planters by region, Island of Mauritius, 2020-2023 | Africa (Mauritius official open data)

36 rows - 1 Africa country - 2020-2023 - 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: Area harvested of estates, metayer and owner -planters by region, Island of Mauritius, 2020-2023
• Publisher: MDPA
• Resource: Area Harvested of estates, metayer and owner -planters by region 2020 to 2023.csv
• License: CC BY 4.0
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
MUS	36	2020	2023	Mauritius

Indicators or Resource Contents

• area-harvested-of-estates-metayer-and-owner-planters-by-region-island-of-6454621a - Area harvested of estates, metayer and owner -planters by region, Island of Mauritius, 2020-2023 - estates
• area-harvested-of-estates-metayer-and-owner-planters-by-region-island-of-fe2f827f - Area harvested of estates, metayer and owner -planters by region, Island of Mauritius, 2020-2023 - metayer
• area-harvested-of-estates-metayer-and-owner-planters-by-region-island-of-31a518e6 - Area harvested of estates, metayer and owner -planters by region, Island of Mauritius, 2020-2023 - owner planters

Schema

Column	Type	Description	Example
indicator_id	object	Stable indicator identifier.	area-harvested-of-estates-metayer-and-owner-planters-by-region-island-of
indicator_name	object	Human-readable indicator name.	Area harvested of estates, metayer and owner -planters by region, Island
country_iso3	object	ISO3 country code.	MUS
country_name	object	Country name.	Mauritius
year	Int64	Observation year.	2020
value	float64	Numeric observation value.	4632.0
unit	object	Measurement unit, when available.	source_units_unspecified
dimension_region	string	Source dimension.	North
source_provider	object	Publishing organization.	MDPA
source_dataset	object	Source package title.	Area harvested of estates, metayer and owner -planters by region, Island
source_resource	object	Source resource title.	Area Harvested of estates, metayer and owner -planters by region 2020 to
source_package_id	object	CKAN package UUID.	c6ecc737-502c-40e0-a859-a0000e6ffed0
source_resource_id	object	CKAN resource UUID.	9d802955-7b30-448b-8e8b-e2e528b75fa1
source_url	object	Original CSV URL.	https://data.govmu.org/dataset/c6ecc737-502c-40e0-a859-a0000e6ffed0/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-area-harvested-of-estates-metayer-and-owner-planters-by-re-d1917192")
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_area_harvested_of_estates_metayer_and_owner_planters_by_re_d191_2023,
  title        = {Area harvested of estates, metayer and owner -planters by region, Island of Mauritius, 2020-2023 | Africa (Mauritius official open data)},
  author       = {MDPA},
  year         = {2023},
  url          = {https://data.govmu.org/dataset/area-harvested-of-estates-metayer-and-owner-planters-by-region-island-of-mauritius-2020-2023},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-area-harvested-of-estates-metayer-and-owner-planters-by-re-d1917192}}
}

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

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Provenance: ingested 2026-07-16 via the Electric Sheep pipeline. Source URL: https://data.govmu.org/dataset/c6ecc737-502c-40e0-a859-a0000e6ffed0/resource/9d802955-7b30-448b-8e8b-e2e528b75fa1/download/area-harvested-of-estates-metayer-and-owner-planters-by-region-2020-to-2023.csv