Datasets:

electricsheepafrica
/

africa-mauritius-earnings-and-value-added-of-the-tourism-sector-5c358d8e

license: cc-by-sa-4.0
language:
  - en
task_categories:
  - tabular-classification
  - tabular-regression
multilinguality: multilingual
size_categories:
  - n<1K
tags:
  - tabular
  - africa
  - open-data
  - official-statistics
  - mauritius
  - mdpa
  - travel-and-tourism
  - earnings
  - tourism
  - tourist
  - value-added
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-00000-of-00001.parquet
pretty_name: Earnings and Value Added of the Tourism Sector | Africa (MDPA)

Earnings and Value Added of the Tourism Sector | Africa (MDPA)

796 rows - 1 Africa country/area - 1980-2022 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 796 rows from MDPA, covering Earnings and Value Added of the Tourism Sector. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Official statistics datasets help analysts inspect public data as published by governments, national statistical systems, and regional data portals.

Source-provided context: Dataset shows Tourism Earnings, % contribution to GDP and Value Added (at current basic prices) of the Tourism Sector as from 1983

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: year.
Time coverage basis: year.
Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

Dimension	Value
Rows	796
Countries/areas	1
First period	1980
Last period	2022
Indicators	0
Columns	194
Source format	XLS

Geographic Coverage

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

Area	Rows	First year	Last year	Name
`MU`	796	1980	2022	`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.	`3420c2ad-6b29-4021-9c78-df2cbfc7d3a7:table-of-contents: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.	`Table of contents`
`year`	`double`	Observation year.	`1983.0`
`d_5a`	`string`	Source column from the original resource.	`5b`
`tourist_arrivals_by_country_of_residence_1983_2012`	`string`	Source column from the original resource.	`Tourist arrivals by country of residence (covering a wider range of c...`
`source_period_start_year`	`int64`	Start year inferred from source metadata.	`1983`
`source_period_end_year`	`int64`	End year inferred from source metadata.	`1983`
`source_period_label`	`dictionary<values=string, indices=int8, ordered=0>`	Source column from the original resource.	`1983`
`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.	`Earnings and Value Added of the Tourism Sector`
`source_resource`	`dictionary<values=string, indices=int8, ordered=0>`	Source resource title, table name, or file name.	`HS_Tourism_Yr22_250523_0.xls`
`source_package_id`	`dictionary<values=string, indices=int8, ordered=0>`	Source package identifier.	`bf849e4c-49ca-4c54-8d9f-a05710082cab`
`source_resource_id`	`dictionary<values=string, indices=int8, ordered=0>`	Source resource identifier.	`3420c2ad-6b29-4021-9c78-df2cbfc7d3a7`
`source_url`	`dictionary<values=string, indices=int8, ordered=0>`	Original source URL or download URL.	`https://data.govmu.org/dataset/bf849e4c-49ca-4c54-8d9f-a05710082cab/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`
`d_1`	`double`	Source column from the original resource.	``
`tourist`	`string`	Source column from the original resource.	``
`a_tourist_is_defined_as_a_non_resident_staying_overnight`	`string`	Source column from the original resource.	``
`1980`	`double`	Source column from the original resource.	``
`d_163230`	`double`	Source column from the original resource.	``
`d_167269`	`double`	Source column from the original resource.	``
`d_6042`	`string`	Source column from the original resource.	``
`d_5722`	`double`	Source column from the original resource.	``
`country_of_disembarkation`	`string`	Source column from the original resource.	``
`1983`	`double`	Source column from the original resource.	``
`1984`	`double`	Source column from the original resource.	``
`1985`	`double`	Source column from the original resource.	``
`1986`	`double`	Source column from the original resource.	``
`1987`	`double`	Source column from the original resource.	``
`1988`	`double`	Source column from the original resource.	``
`1989`	`double`	Source column from the original resource.	``
`1990`	`double`	Source column from the original resource.	``
`1991`	`double`	Source column from the original resource.	``
`1992`	`double`	Source column from the original resource.	``
`1993`	`double`	Source column from the original resource.	``
`1994`	`double`	Source column from the original resource.	``
`1995`	`double`	Source column from the original resource.	``
`1996`	`double`	Source column from the original resource.	``
`1997`	`double`	Source column from the original resource.	``
`1998`	`double`	Source column from the original resource.	``
`1999`	`double`	Source column from the original resource.	``
`2000`	`double`	Source column from the original resource.	``
`2001`	`double`	Source column from the original resource.	``
`2002`	`double`	Source column from the original resource.	``
`2003`	`double`	Source column from the original resource.	``
`2004`	`double`	Source column from the original resource.	``
`2005`	`double`	Source column from the original resource.	``
`2006`	`double`	Source column from the original resource.	``
`2007`	`double`	Source column from the original resource.	``
`2008`	`double`	Source column from the original resource.	``
`2009`	`double`	Source column from the original resource.	``
`2010`	`double`	Source column from the original resource.	``
`2011`	`double`	Source column from the original resource.	``
`2012`	`double`	Source column from the original resource.	``
`2013`	`double`	Source column from the original resource.	``
`2014`	`double`	Source column from the original resource.	``
`2015`	`double`	Source column from the original resource.	``
`2016`	`double`	Source column from the original resource.	``
`2017`	`double`	Source column from the original resource.	``
`2018`	`double`	Source column from the original resource.	``
`2019`	`double`	Source column from the original resource.	``
`2020`	`double`	Source column from the original resource.	``
`2021`	`double`	Source column from the original resource.	``
`2022`	`double`	Source column from the original resource.	``
`month_of_arrival`	`string`	Source column from the original resource.	``
`1974`	`double`	Source column from the original resource.	``
`1975`	`double`	Source column from the original resource.	``
`1976`	`double`	Source column from the original resource.	``
`1977`	`double`	Source column from the original resource.	``
`1978`	`double`	Source column from the original resource.	``
`1979`	`double`	Source column from the original resource.	``
`1981`	`double`	Source column from the original resource.	``
`1982`	`double`	Source column from the original resource.	``
`country_of_residence`	`string`	Source column from the original resource.	``
`europe`	`string`	Source column from the original resource.	``
`d_547061`	`double`	Source column from the original resource.	``
`d_570684`	`double`	Source column from the original resource.	``
`d_631627`	`double`	Source column from the original resource.	``
`d_734506`	`double`	Source column from the original resource.	``
`d_780209`	`double`	Source column from the original resource.	``
`d_824334`	`double`	Source column from the original resource.	``
`d_835946`	`double`	Source column from the original resource.	``
`d_207641`	`double`	Source column from the original resource.	``
`d_145812`	`double`	Source column from the original resource.	``
`d_674511`	`double`	Source column from the original resource.	``
`d_55_1`	`double`	Source column from the original resource.	``
`d_55`	`double`	Source column from the original resource.	``
`d_54_9`	`double`	Source column from the original resource.	``
`d_57_6`	`double`	Source column from the original resource.	``
`d_58_1`	`double`	Source column from the original resource.	``
`d_58_9`	`double`	Source column from the original resource.	``
`d_60_4`	`double`	Source column from the original resource.	``
`d_67_2`	`double`	Source column from the original resource.	``
`d_81_1`	`double`	Source column from the original resource.	``
`d_67_6`	`double`	Source column from the original resource.	``
`tourism_earnings_1_rs_million`	`double`	Source column from the original resource.	``
`value_added_2_rs_million`	`string`	Source column from the original resource.	``
`contribution_to_gdp_2`	`string`	Source column from the original resource.	``
`food_service`	`double`	Source column from the original resource.	``
`hotels`	`double`	Source column from the original resource.	``
`travel_other_services_2`	`double`	Source column from the original resource.	``
`total_tourism_industry`	`double`	Source column from the original resource.	``
`d_470`	`double`	Source column from the original resource.	``
`d_114610`	`double`	Source column from the original resource.	``
`d_115080`	`double`	Source column from the original resource.	``
`d_1301730`	`double`	Source column from the original resource.	``
`d_43`	`double`	Source column from the original resource.	``
`d_4000`	`double`	Source column from the original resource.	``
`september`	`string`	Source column from the original resource.	``
`d_66_8`	`double`	Source column from the original resource.	``
`d_56_8`	`string`	Source column from the original resource.	``
`d_82_9`	`double`	Source column from the original resource.	``
`d_74_4`	`double`	Source column from the original resource.	``
`d_84_9`	`double`	Source column from the original resource.	``
`d_75_9`	`double`	Source column from the original resource.	``
`d_81`	`double`	Source column from the original resource.	``
`d_73_4`	`double`	Source column from the original resource.	``
`d_74_5`	`double`	Source column from the original resource.	``
`d_67_4`	`double`	Source column from the original resource.	``
`d_63_9`	`double`	Source column from the original resource.	``
`d_59_1`	`double`	Source column from the original resource.	``
`d_67_9`	`double`	Source column from the original resource.	``
`d_63_5`	`double`	Source column from the original resource.	``
`d_72_3`	`double`	Source column from the original resource.	``
`d_66_5`	`double`	Source column from the original resource.	``
`d_76`	`double`	Source column from the original resource.	``
`d_71`	`double`	Source column from the original resource.	``
`d_73`	`double`	Source column from the original resource.	``
`d_67`	`double`	Source column from the original resource.	``
`d_77`	`double`	Source column from the original resource.	``
`d_68`	`double`	Source column from the original resource.	``
`d_85`	`double`	Source column from the original resource.	``
`d_75`	`double`	Source column from the original resource.	``
`d_82`	`double`	Source column from the original resource.	``
`d_72`	`double`	Source column from the original resource.	``
`d_77_2`	`double`	Source column from the original resource.	``
`d_68_2`	`double`	Source column from the original resource.	``
`d_76_2`	`double`	Source column from the original resource.	``
`d_74`	`double`	Source column from the original resource.	``
`d_66`	`double`	Source column from the original resource.	``
`d_76_3`	`double`	Source column from the original resource.	``
`d_68_3`	`double`	Source column from the original resource.	``
`d_67_3`	`double`	Source column from the original resource.	``
`d_59`	`double`	Source column from the original resource.	``
`d_69`	`double`	Source column from the original resource.	``
`d_62`	`double`	Source column from the original resource.	``
`d_67_5`	`double`	Source column from the original resource.	``
`d_60`	`double`	Source column from the original resource.	``
`d_71_2`	`double`	Source column from the original resource.	``
`d_63`	`double`	Source column from the original resource.	``
`d_78`	`double`	Source column from the original resource.	``
`d_70`	`double`	Source column from the original resource.	``
`d_68_4`	`double`	Source column from the original resource.	``
`d_61`	`double`	Source column from the original resource.	``
`d_64`	`double`	Source column from the original resource.	``
`d_56`	`double`	Source column from the original resource.	``
`d_58`	`double`	Source column from the original resource.	``
`d_66_2`	`double`	Source column from the original resource.	``
`d_58_2`	`double`	Source column from the original resource.	``
`d_62_2`	`double`	Source column from the original resource.	``
`d_54`	`double`	Source column from the original resource.	``
`d_67_7`	`double`	Source column from the original resource.	``
`d_60_2`	`double`	Source column from the original resource.	``
`d_68_5`	`double`	Source column from the original resource.	``
`d_61_2`	`double`	Source column from the original resource.	``
`d_74_2`	`double`	Source column from the original resource.	``
`d_68_6`	`double`	Source column from the original resource.	``
`d_78_2`	`double`	Source column from the original resource.	``
`d_68_7`	`double`	Source column from the original resource.	``
`d_79`	`double`	Source column from the original resource.	``
`d_69_2`	`double`	Source column from the original resource.	``
`d_82_2`	`double`	Source column from the original resource.	``
`d_72_2`	`double`	Source column from the original resource.	``
`d_77_3`	`double`	Source column from the original resource.	``
`d_65`	`double`	Source column from the original resource.	``
`d_8`	`double`	Source column from the original resource.	``
`d_8_2`	`double`	Source column from the original resource.	``
`d_11`	`double`	Source column from the original resource.	``
`d_9`	`double`	Source column from the original resource.	``
`d_75_2`	`double`	Source column from the original resource.	``
`d_63_2`	`double`	Source column from the original resource.	``
`accommodation`	`double`	Source column from the original resource.	``
`meals_beverages`	`double`	Source column from the original resource.	``
`transport`	`double`	Source column from the original resource.	``
`sightseeing`	`double`	Source column from the original resource.	``
`entertainment`	`double`	Source column from the original resource.	``
`shopping`	`double`	Source column from the original resource.	``
`other`	`double`	Source column from the original resource.	``
`total_1`	`double`	Source column from the original resource.	``
`country`	`string`	Source column from the original resource.	``
`island_of_mauritius_1`	`double`	Source column from the original resource.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritius-earnings-and-value-added-of-the-tourism-sector-5c358d8e")
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: HS_Tourism_Yr22_250523_0.xls
License: CC BY-SA 4.0
Retrieved/generated: 2026-08-08T16:45:04Z
Hugging Face repo: electricsheepafrica/africa-mauritius-earnings-and-value-added-of-the-tourism-sector-5c358d8e

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

Profile the distribution of values
Compare categories or geographies
Join with complementary public datasets
Build time-series views and period-over-period comparisons
Check missingness before modeling
Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_mauritius_earnings_and_value_added_of_the_tourism_sector_5c358d8e_2022,
  title        = {Earnings and Value Added of the Tourism Sector | Africa (MDPA)},
  author       = {MDPA},
  year         = {2022},
  url          = {https://data.govmu.org/dataset/earnings-and-value-added-tourism-sector},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-earnings-and-value-added-of-the-tourism-sector-5c358d8e}}
}

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.

Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://data.govmu.org/dataset/earnings-and-value-added-tourism-sector