taxapp's picture
Upload dataset folder
3b9a221 verified
|
Raw
History Blame
6.19 kB
metadata
license: cc-by-sa-4.0
language:
  - en
task_categories:
  - tabular-regression
  - time-series-forecasting
multilinguality: monolingual
size_categories:
  - n<1K
tags:
  - tabular
  - xls
  - africa
  - mauritius
  - official-statistics
  - open-data
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-00000-of-00001.parquet
pretty_name: Wage Rate Indices | Africa (Mauritius official open data)

Wage Rate Indices | Africa (Mauritius official open data)

114 rows - 1 Africa country - 1993-2015 - Repackaged by Electric Sheep Africa

rows countries years indicators license

TL;DR

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

About the source

Geographic coverage

1 Africa country:

Country Rows First year Last year Name
MU 114 1993 2015 Mauritius

Indicators or Resource Contents

  • wage-rate-indices-base-3rd-quarter-1992-100-5d0c11f8 - Wage Rate Indices - base 3rd quarter 1992 100
  • wage-rate-indices-base-3rd-quarter-2000-100-7c6af6c9 - Wage Rate Indices - base 3rd quarter 2000 100
  • wage-rate-indices-base-3rd-quarter-2006-100-e365ac48 - Wage Rate Indices - base 3rd quarter 2006 100
  • wage-rate-indices-base-4th-quarter-2011-100-0c099b16 - Wage Rate Indices - base 4th quarter 2011 100
  • wage-rate-indices-annual-percentage-change-a3460382 - Wage Rate Indices - annual percentage change

Schema

Column Type Description Example
indicator_id string Stable indicator identifier. wage-rate-indices-base-3rd-quarter-1992-100-5d0c11f8
indicator_name string Human-readable indicator name. Wage Rate Indices - base 3rd quarter 1992 100
country_iso3 string ISO3 country code. MU
source_sheet string Workbook sheet name, when the source is a spreadsheet. Sheet1
country_name string Country name. Mauritius
year Int64 Observation year. 1993
value float64 Numeric observation value. 115.5
unit string Measurement unit, when available. source_units_unspecified
source_period_start_year Int64 First year inferred from source resource metadata. 1993
source_period_end_year Int64 Last year inferred from source resource metadata. 2016
source_period_label category Human-readable period inferred from source resource metadata. 1993-2016
source_provider category Publishing organization. MDPA
source_dataset category Source package title. Wage Rate Indices
source_resource category Source resource title. SOURCE-Wage-Rate-Indices-multi-base-1993-2016.xls
source_package_id category CKAN package UUID. 8d3de531-1b13-4cf0-aa8d-2bdfceb7245c
source_resource_id category CKAN resource UUID. 08d12f43-d0ef-46fb-a707-272eea974efc
source_url category Original source resource URL. https://data.govmu.org/dataset/8d3de531-1b13-4cf0-aa8d-2bdfceb7245c/reso
license_id category Source license identifier. CC-BY-SA-4.0
retrieved_at category UTC retrieval timestamp. 2026-08-08T16:26:20Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritius-wage-rate-indices-219a0ef4")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "MU"]

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_wage_rate_indices_219a0ef4_2015,
  title        = {Wage Rate Indices | Africa (Mauritius official open data)},
  author       = {MDPA},
  year         = {2015},
  url          = {https://data.govmu.org/dataset/wage-rate-indices},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-wage-rate-indices-219a0ef4}}
}

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


Provenance: ingested 2026-08-08 via the Electric Sheep pipeline. Source URL: https://data.govmu.org/dataset/8d3de531-1b13-4cf0-aa8d-2bdfceb7245c/resource/08d12f43-d0ef-46fb-a707-272eea974efc/download/source-wage-rate-indices-multi-base-1993-2016.xls