electricsheepafrica/africa-mauritius-basic-widows-pension-number-of-beneficiaries-by-age-group-5909fc7b

Basic Widows Pension Number of Beneficiaries by Age Group | Africa (MDPA)

252 rows - 1 Africa country/area - 1996-2017 - 12 indicators - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 252 rows from MDPA, covering Basic Widows Pension Number of Beneficiaries by Age Group. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Demographic datasets help analysts understand population structure, household conditions, migration, gender, age, and settlement patterns.

Source-provided context: The data shows number of beneficiaries by age-group, amount paid and rate per month for basic widows pension for Republic of Mauritius for the year 1989 to 2021

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

Dimension	Value
Rows	252
Countries/areas	1
First period	1996
Last period	2017
Indicators	12
Columns	19
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
MU	252	1996	2017	Mauritius

Indicators, Variables, Or Resource Contents

• basic-widows-pension-number-of-beneficiaries-by-age-group-amount-paid-an-bed1f122 - Basic Widows Pension - Number of beneficiaries by age-group, amount paid and rate per month - d 59(source_units_unspecified)
• basic-widows-pension-number-of-beneficiaries-by-age-group-amount-paid-an-0e8048ad - Basic Widows Pension - Number of beneficiaries by age-group, amount paid and rate per month - d 75(source_units_unspecified)
• basic-widows-pension-number-of-beneficiaries-by-age-group-amount-paid-an-cdc4520b - Basic Widows Pension - Number of beneficiaries by age-group, amount paid and rate per month - d 309(source_units_unspecified)
• basic-widows-pension-number-of-beneficiaries-by-age-group-amount-paid-an-c8d8352d - Basic Widows Pension - Number of beneficiaries by age-group, amount paid and rate per month - d 806(source_units_unspecified)
• basic-widows-pension-number-of-beneficiaries-by-age-group-amount-paid-an-0b353b2e - Basic Widows Pension - Number of beneficiaries by age-group, amount paid and rate per month - d 1583(source_units_unspecified)
• basic-widows-pension-number-of-beneficiaries-by-age-group-amount-paid-an-125a057c - Basic Widows Pension - Number of beneficiaries by age-group, amount paid and rate per month - d 2561(source_units_unspecified)
• basic-widows-pension-number-of-beneficiaries-by-age-group-amount-paid-an-2e3de42b - Basic Widows Pension - Number of beneficiaries by age-group, amount paid and rate per month - d 4278(source_units_unspecified)
• basic-widows-pension-number-of-beneficiaries-by-age-group-amount-paid-an-01a63c35 - Basic Widows Pension - Number of beneficiaries by age-group, amount paid and rate per month - d 4833(source_units_unspecified)
• basic-widows-pension-number-of-beneficiaries-by-age-group-amount-paid-an-3f9740a0 - Basic Widows Pension - Number of beneficiaries by age-group, amount paid and rate per month - d 5438(source_units_unspecified)
• basic-widows-pension-number-of-beneficiaries-by-age-group-amount-paid-an-2d7762b3 - Basic Widows Pension - Number of beneficiaries by age-group, amount paid and rate per month - d 19942(source_units_unspecified)
• basic-widows-pension-number-of-beneficiaries-by-age-group-amount-paid-an-6d0e8669 - Basic Widows Pension - Number of beneficiaries by age-group, amount paid and rate per month - d 209 52(source_units_unspecified)
• basic-widows-pension-number-of-beneficiaries-by-age-group-amount-paid-an-009c69c0 - Basic Widows Pension - Number of beneficiaries by age-group, amount paid and rate per month - d 675(source_units_unspecified)

Schema

Column	Type	Description	Example
indicator_id	string	Stable source or Electric Sheep Africa indicator identifier.	basic-widows-pension-number-of-beneficiaries-by-age-group-amount-paid...
indicator_name	string	Human-readable indicator name.	Basic Widows Pension - Number of beneficiaries by age-group, amount p...
country_iso3	string	ISO3 country or area code.	MU
source_sheet	string	Source column from the original resource.	Tab4
country_name	string	Country or area name.	Mauritius
year	int64	Observation year.	1996
value	double	Numeric observation value.	46.0
unit	string	Measurement unit, when supplied by the source.	source_units_unspecified
source_period_start_year	int64	Start year inferred from source metadata.	1995
source_period_end_year	int64	End year inferred from source metadata.	2021
source_period_label	dictionary<values=string, indices=int8, ordered=0>	Source column from the original resource.	1995-2021
source_provider	dictionary<values=string, indices=int8, ordered=0>	Publishing organization.	MDPA
source_dataset	dictionary<values=string, indices=int8, ordered=0>	Source dataset or package title.	Basic Widows Pension - Number of beneficiaries by age-group, amount p...
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	Source_File_1995_2021.xlsx
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	60f772d3-9f85-49ae-8134-a07e645d043c
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	8cfb7692-1dd6-4a30-88a6-e4d2f4e88ad7
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.govmu.org/dataset/60f772d3-9f85-49ae-8134-a07e645d043c/r...
license_id	dictionary<values=string, indices=int8, ordered=0>	Source license identifier.	CC-BY-SA-4.0
retrieved_at	dictionary<values=string, indices=int8, ordered=0>	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-08-08T16:26:20Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritius-basic-widows-pension-number-of-beneficiaries-by-age-group-5909fc7b")
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_1995_2021.xlsx
• License: CC BY-SA 4.0
• Retrieved/generated: 2026-08-08T16:42:26Z
• Hugging Face repo: electricsheepafrica/africa-mauritius-basic-widows-pension-number-of-beneficiaries-by-age-group-5909fc7b

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

• Build demographic profiles
• Normalize indicators per capita
• Join with service-delivery datasets
• 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_basic_widows_pension_number_of_beneficiaries_by_age_group_5909f_2017,
  title        = {Basic Widows Pension Number of Beneficiaries by Age Group | Africa (MDPA)},
  author       = {MDPA},
  year         = {2017},
  url          = {https://data.govmu.org/dataset/basic-widows-pension-number-beneficiaries-age-group-amount-paid-and-rate-month},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-basic-widows-pension-number-of-beneficiaries-by-age-group-5909fc7b}}
}

License

Released under CC BY-SA 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.

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Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://data.govmu.org/dataset/basic-widows-pension-number-beneficiaries-age-group-amount-paid-and-rate-month