AI Job Atlas
AI & jobs · District in Mauritius

Rivière du Rempart

District MU-RR
29%
of jobs here are estimated to be exposed to generative AI, below the national 30% (−0.7 pts).
MODEL7th of 16 regions12.6K exposed workers

Key numbers

PopulationMODEL
≈129K
estimated from area
Share of national populationMODEL
7.2%
5th largest of 16
People in workMODEL
43.3K
national total × population share
Highest-exposure jobsMODEL
5.5%
national 5.7%
Area
146 km²
Settlement patternMODEL
Rural
0% live in major cities
Mapped towns & cities
0
Natural Earth places

AI use

The Anthropic Economic Index does not publish usage for this region. Regions below a minimum number of sampled conversations are left out.

Sector mix

MODEL

Estimated share of jobs by sector, against the national mix.

Rivière du Rempart Mauritius
Retail & wholesale 16.8%
Manufacturing 11.1%
Business services 10.0%
Construction 9.1%
Hospitality 8.7%
Public admin 7.9%
Other services 6.8%
Transport & logistics 6.5%
Education 6.4%
Agriculture 5.5%
Health & care 4.3%
Finance 3.0%
ICT & software 2.6%
Utilities 1.0%
Mining 0.2%

Exposed workers by sector

MODEL
Retail & wholesale 2,311 Business services 1,614 Public admin 1,563 Education 1,249 Hospitality 938 Manufacturing 802 Health & care 751 Finance 743

Ranking in Mauritius

MODEL

By modelled AI exposure, out of 16 regions.

4Quatre Bornes 30% 5Vacoas-Phoenix 30% 6Plaines Wilhems 29% 7Rivière du Rempart 29% 8Pamplemousses 29% 9Agaléga 29% 10Port Louis 29%
About these estimates. No source publishes AI exposure by region for every country. The model splits Mauritius's real ILO sector employment across regions using population (Wikidata) and density: denser, capital-city regions get more finance, ICT and professional jobs, and rural regions more farming. Totals match national figures. AI usage figures are measured, not modelled. Methodology

Other regions of Mauritius

All of Mauritius →