Dataset

africa-mauritius-quarterly-hotel-room-occupancy-rate-2019-to-2023-for-large-4fa9bd56

Estimates, Events & Fund Flows Download 1 source

Electric Sheep Africa releases 60 quarterly observations from MDPA on hotel room occupancy for large establishments in Mauritius from 2019 through 2023, formatted as Parquet with consistent metadata.

Open on Hugging Face

Data preview

Subset

Loading preview...

Dataset card

This dataset provides quarterly hotel room occupancy rates for large hotels in Mauritius from 2019 to 2023, sourced from MDPA and republished by Electric Sheep Africa as an ML-ready Parquet file under CC BY 4.0. It contains 60 rows covering a single country and indicator.

What this dataset contains

The dataset tracks quarterly hotel room occupancy rates for large hotels in Mauritius (country_iso3 = "MU") across the 2019–2023 period. It is delivered as a single training split of 60 rows, originally sourced from MDPA and standardized by Electric Sheep Africa for Hugging Face. Coverage is limited to one country and one indicator, making it a narrow tourism-sector time series.

Structure and fields

Each row records an indicator_id and indicator_name, alongside country_iso3, country_name, source_sheet, year, value (a float), unit, and dimension_month to mark the quarter. Provenance fields include source_period_start_year, source_period_end_year, source_period_label, source_provider, source_dataset, source_resource, source_package_id, source_resource_id, source_url, license_id, and retrieved_at. The unit field is reported as source_units_unspecified, and dimension_month values such as January and February indicate intra-year quarterly placement.

How analysts use it

Analysts can use the year and value columns to chart occupancy trends or feed them into time-series forecasting and tabular regression models for Mauritius tourism. The dimension_month column supports seasonal decomposition, while country_iso3 enables consistent joining with other country-level indicators. For investment funds, it offers a small but directly relevant signal on large-hotel demand in Mauritius, useful for sizing exposure to tourism, hospitality operators, or related equities, though the sample size of 60 rows limits statistical depth.

Documentation & references 1