electricsheepafrica/africa-mauritius-estimated-resident-population-by-age-group-and-by-gender-i-ee2f924d

Estimated Resident Population by Age Group and by Gender I | Africa (MDPA)

23 rows - 1 Africa country/area - 1990-2021 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 23 rows from MDPA, covering Estimated Resident Population by Age Group and by Gender I. 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 refers to the Estimated Resident Population By Age Group and by Gender In Mauritius for the year 1990 to 2021

How To Read This Dataset

• One row means: one source record from the original tabular resource, with Electric Sheep Africa provenance columns added where available.
• Primary geography column: country_iso3.
• Best time column: not detected.
• Time coverage basis: source metadata.
• Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

Dimension	Value
Rows	23
Countries/areas	1
First period	1990
Last period	2021
Indicators	0
Columns	112
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
MU	23	1990	2021	Mauritius

Indicators, Variables, Or Resource Contents

• This repo preserves one source tabular resource with its usable columns kept together.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier assigned during Electric Sheep Africa engineering.	c21480c6-b617-4b07-adfb-cce29ba3cda6:t21:0
country_iso3	dictionary<values=string, indices=int8, ordered=0>	ISO3 country or area code.	MU
country_name	dictionary<values=string, indices=int8, ordered=0>	Country or area name.	Mauritius
source_sheet	string	Source column from the original resource.	T21
d_1_4	string	Source column from the original resource.	5 - 9
d_39280	double	Source column from the original resource.	52651.0
d_38097	double	Source column from the original resource.	51201.0
d_77377	double	Source column from the original resource.	103852.0
d_40460	double	Source column from the original resource.	50045.0
d_39372	double	Source column from the original resource.	48590.0
d_79832	double	Source column from the original resource.	98635.0
d_42240	double	Source column from the original resource.	48408.0
d_40931	double	Source column from the original resource.	46642.0
d_83171	double	Source column from the original resource.	95050.0
d_43809	double	Source column from the original resource.	48150.0
d_42158	double	Source column from the original resource.	46262.0
d_85967	double	Source column from the original resource.	94412.0
d_44534	double	Source column from the original resource.	48685.0
d_43011	double	Source column from the original resource.	46969.0
d_87545	double	Source column from the original resource.	95654.0
d_44507	double	Source column from the original resource.	49736.0
d_43210	double	Source column from the original resource.	48045.0
d_87717	double	Source column from the original resource.	97781.0
d_43930	double	Source column from the original resource.	51515.0
d_42975	double	Source column from the original resource.	49784.0
d_86905	double	Source column from the original resource.	101299.0
d_42481	double	Source column from the original resource.	53649.0
d_41996	double	Source column from the original resource.	51664.0
d_84477	double	Source column from the original resource.	105313.0
d_41323	double	Source column from the original resource.	54827.0
d_40841	double	Source column from the original resource.	53045.0
d_82164	double	Source column from the original resource.	107872.0
d_40600	double	Source column from the original resource.	55135.0
d_39941	double	Source column from the original resource.	53436.0
d_80541	double	Source column from the original resource.	108571.0
d_40015	double	Source column from the original resource.	55123.0
d_38856	double	Source column from the original resource.	53826.0
d_78871	double	Source column from the original resource.	108949.0
d_40118	double	Source column from the original resource.	54026.0
d_38740	double	Source column from the original resource.	53014.0
d_78858	double	Source column from the original resource.	107040.0
d_39994	double	Source column from the original resource.	52448.0
d_38426	double	Source column from the original resource.	51964.0
d_78420	double	Source column from the original resource.	104412.0
d_39930	double	Source column from the original resource.	51259.0
d_38517	double	Source column from the original resource.	50480.0
d_78447	double	Source column from the original resource.	101739.0
d_39758	double	Source column from the original resource.	50433.0
d_38371	double	Source column from the original resource.	49378.0
d_78129	double	Source column from the original resource.	99811.0
d_39232	double	Source column from the original resource.	49890.0
d_38034	double	Source column from the original resource.	48482.0
d_77266	double	Source column from the original resource.	98372.0
d_38444	double	Source column from the original resource.	50030.0
d_37192	double	Source column from the original resource.	48343.0
d_75636	double	Source column from the original resource.	98373.0
d_37543	double	Source column from the original resource.	49872.0
d_36176	double	Source column from the original resource.	47949.0
d_73719	double	Source column from the original resource.	97821.0
d_36266	double	Source column from the original resource.	49793.0
d_34925	double	Source column from the original resource.	48075.0
d_71191	double	Source column from the original resource.	97868.0
d_34798	double	Source column from the original resource.	49578.0
d_33762	double	Source column from the original resource.	47896.0
d_68560	double	Source column from the original resource.	97474.0
d_33340	double	Source column from the original resource.	48921.0
d_32386	double	Source column from the original resource.	47469.0
d_65726	double	Source column from the original resource.	96390.0
d_32432	double	Source column from the original resource.	47937.0
d_31731	double	Source column from the original resource.	46421.0
d_64163	double	Source column from the original resource.	94358.0
d_31042	double	Source column from the original resource.	46802.0
d_30595	double	Source column from the original resource.	45130.0
d_61637	double	Source column from the original resource.	91932.0
d_30065	double	Source column from the original resource.	45240.0
d_29572	double	Source column from the original resource.	43580.0
d_59637	double	Source column from the original resource.	88820.0
d_29322	double	Source column from the original resource.	43388.0
d_28495	double	Source column from the original resource.	42111.0
d_57817	double	Source column from the original resource.	85499.0
d_28540	double	Source column from the original resource.	``
d_27651	double	Source column from the original resource.	``
d_56191	double	Source column from the original resource.	``
d_27879	double	Source column from the original resource.	``
d_26910	double	Source column from the original resource.	``
d_54789	double	Source column from the original resource.	``
d_27057	double	Source column from the original resource.	``
d_25931	double	Source column from the original resource.	``
d_52988	double	Source column from the original resource.	``
d_26558	double	Source column from the original resource.	``
d_25489	double	Source column from the original resource.	``
d_52047	double	Source column from the original resource.	``
d_26359	double	Source column from the original resource.	``
d_25160	double	Source column from the original resource.	``
d_51519	double	Source column from the original resource.	``
d_26328	double	Source column from the original resource.	``
d_25137	double	Source column from the original resource.	``
d_51465	double	Source column from the original resource.	``
d_26282	double	Source column from the original resource.	``
d_25363	double	Source column from the original resource.	``
d_51645	double	Source column from the original resource.	``
source_period_start_year	int64	Start year inferred from source metadata.	``
source_period_end_year	int64	End year inferred from source metadata.	``
source_period_label	dictionary<values=string, indices=int8, ordered=0>	Source column from the original resource.	``
source_provider	dictionary<values=string, indices=int8, ordered=0>	Publishing organization.	``
source_dataset	dictionary<values=string, indices=int8, ordered=0>	Source dataset or package title.	``
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	``
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	``
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	``
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	``
license_id	dictionary<values=string, indices=int8, ordered=0>	Source license identifier.	``
retrieved_at	dictionary<values=string, indices=int8, ordered=0>	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritius-estimated-resident-population-by-age-group-and-by-gender-i-ee2f924d")
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

• No canonical year/date column was detected in the packaged table; use source metadata and domain context for temporal interpretation.
• 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-Estimated-Resident-Population-By-Age-Group-%26-Gender-for-the-Rep-of-Mauritius.xlsx
• License: CC BY-SA 4.0
• Retrieved/generated: 2026-08-08T16:27:02Z
• Hugging Face repo: electricsheepafrica/africa-mauritius-estimated-resident-population-by-age-group-and-by-gender-i-ee2f924d

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
• Check missingness before modeling
• Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_mauritius_estimated_resident_population_by_age_group_and_by_gender_i_ee2f_2021,
  title        = {Estimated Resident Population by Age Group and by Gender I | Africa (MDPA)},
  author       = {MDPA},
  year         = {2021},
  url          = {https://data.govmu.org/dataset/estimated-resident-population-age-group-and-gender-mauritius-0},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-estimated-resident-population-by-age-group-and-by-gender-i-ee2f924d}}
}

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/estimated-resident-population-age-group-and-gender-mauritius-0