electricsheepafrica/africa-mauritius-average-compensation-of-employees-labour-productivity-and-86c2176f

Average Compensation of Employees Labour Productivity and | Africa (MDPA)

66 rows - 1 Africa country/area - 1994-2018 - 6 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

TL;DR

This dataset contains 66 rows from MDPA, covering Average Compensation of Employees Labour Productivity and. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Labour and workforce datasets help analysts study employment, participation, skills, sectoral structure, and the movement of people through work and livelihoods.

Source-provided context: Dataset shows Average compensation of employees, Labour productivity and Unit Labour Cost - Total economy, 2009 - 2019

How To Read This Dataset

• —One row means: one indicator observation for one geography, time period, and optional source dimensions.
• —Primary geography column: country_iso3.
• —Best time column: year.
• —Time coverage basis: year.
• —Recommended join keys: country_iso3, year, indicator_id.

Coverage

Geographic Coverage

Top areas shown below, sorted by row count when available:

Indicators, Variables, Or Resource Contents

• —average-compensation-of-employees-labour-productivity-and-unit-labour-co-bc00cf52 - Average compensation of employees, Labour productivity and Unit Labour Cost - Total economy, 2009 - 2019 - average compensation of employeesindex(sourceunitsunspecified)
• —average-compensation-of-employees-labour-productivity-and-unit-labour-co-e3ea7335 - Average compensation of employees, Labour productivity and Unit Labour Cost - Total economy, 2009 - 2019 - average compensation of employees growth rate(sourceunitsunspecified)
• —average-compensation-of-employees-labour-productivity-and-unit-labour-co-50c22844 - Average compensation of employees, Labour productivity and Unit Labour Cost - Total economy, 2009 - 2019 - labour productivity index(sourceunitsunspecified)
• —average-compensation-of-employees-labour-productivity-and-unit-labour-co-e4f203f6 - Average compensation of employees, Labour productivity and Unit Labour Cost - Total economy, 2009 - 2019 - labour productivity growth rate(sourceunitsunspecified)
• —average-compensation-of-employees-labour-productivity-and-unit-labour-co-0d579004 - Average compensation of employees, Labour productivity and Unit Labour Cost - Total economy, 2009 - 2019 - unit labour cost mur index(sourceunitsunspecified)
• —average-compensation-of-employees-labour-productivity-and-unit-labour-co-c280d506 - Average compensation of employees, Labour productivity and Unit Labour Cost - Total economy, 2009 - 2019 - unit labour cost mur growth rate(sourceunitsunspecified)

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritius-average-compensation-of-employees-labour-productivity-and-86c2176f")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

print(df.info())
print(df.head())

Filter By Geography

if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "MU"]

Time-Series Pattern

if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis

if {"indicator_id", "year", "value"}.issubset(df.columns):
    matrix = df.pivot_table(index="year", columns="indicator_id", values="value")
    print(matrix.tail())

Data Quality Notes

• —Canonical time field: year.
• —Missing values are preserved rather than silently imputed.
• —Column names are standardized for machine use; source meanings are preserved where known.
• —Always confirm source methodology, units, and collection definitions before policy, production, or redistribution-sensitive use.

Source And Provenance

• —Source: MDPA
• —Publisher: MDPA
• —Portal: https://data.govmu.org
• —Resource: Source File
• —License: CC BY 4.0
• —Retrieved/generated: 2026-08-08T16:47:52Z
• —Hugging Face repo: electricsheepafrica/africa-mauritius-average-compensation-of-employees-labour-productivity-and-86c2176f

Transformations Applied

• —Converted the source table to Parquet for efficient analytics and ML workflows.
• —Added or preserved source provenance columns where available.
• —Standardized README metadata, dataset loading configuration, schema documentation, and citation format.
• —Preserved source-reported values without analytical imputation.

Suggested Analyses

• —Track workforce composition over time
• —Compare employment patterns across groups
• —Join with education, population, and sector data
• —Build time-series views and period-over-period comparisons
• —Pivot to geography x period or indicator x period matrices
• —Check missingness before modeling
• —Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_mauritius_average_compensation_of_employees_labour_productivity_and_86c21_2018,
  title        = {Average Compensation of Employees Labour Productivity and | Africa (MDPA)},
  author       = {MDPA},
  year         = {2018},
  url          = {https://data.govmu.org/dataset/average-compensation-of-employees-labour-productivity-and-unit-labour-cost-total-economy-2009-2019},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-average-compensation-of-employees-labour-productivity-and-86c2176f}}
}

License

Released under CC BY 4.0.

Original data is published by MDPA. Electric Sheep Africa engineering standardizes the data for discovery, loading, and analysis on Hugging Face. Cite both the original source and this ML-ready dataset when used.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.

Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://data.govmu.org/dataset/average-compensation-of-employees-labour-productivity-and-unit-labour-cost-total-economy-2009-2019