WTMG Intelligence
Mauritius Relocation Market Intelligence
A data-driven view of Mauritius's structural relocation market using migration, economic, destination-attractiveness and corridor indicators.
RMOS Score43.6576
Global RMOS Rank#130 of 171
Migration Momentum34.0
International Migrant Stock29,142
Migrant Share2.3%
MethodologyRMOS-GLOBAL-1.0
Data Coverage100.0%
This profile describes structural relocation-market conditions. It does not represent WTMG customer demand, leads, transactions or revenue.
RMOS-GLOBAL-1.0
Mauritius's RMOS position
Authoritative RMOS43.6576
Global rank#130
Countries scored171
Top positionTop 76.0%
Migrant-stock rank#147 of 172
Migration-momentum rank#145 of 172
RMOS component breakdown
Weighted contributions reconcile to the stored authoritative RMOS score.
| Component | Normalized score | Weight | Weighted contribution |
|---|---|---|---|
| Migration Momentum | 34.0 | 25% | 8.4883 |
| Migrant Market Size | 14.6 | 20% | 2.9240 |
| Migrant Share | 31.8 | 15% | 4.7647 |
| GDP per Capita | 58.4 | 15% | 8.7641 |
| GDP Growth | 76.3 | 10% | 7.6271 |
| Destination Attractiveness | 68.4 | 10% | 6.8395 |
| Visa Accessibility | 85.0 | 5% | 4.2500 |
| Stored final RMOS | 43.6576 | ||
Mauritius migration-market scale
Source years are shown separately because the underlying datasets update on different cycles.
MMS-1.0
Mauritius Migration Momentum
These are changes in international migrant stock, not annual migration flows.
2024 migrant stock29,142
2020 migrant stock28,893
2015 migrant stock28,585
2020-2024 change+249 (+0.9%)
2015-2024 change+557 (+1.9%)
Largest migrant-stock origins into Mauritius
2024 international migrant stock, not annual relocation flow.
| Rank | Origin | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | India | 8,855 | 8,778 | 8,651 | +77 (+0.9%) |
| #2 | Bangladesh | 8,488 | 8,415 | 8,327 | +73 (+0.9%) |
| #3 | China | 3,007 | 2,981 | 2,951 | +26 (+0.9%) |
| #4 | Madagascar | 2,321 | 2,301 | 2,277 | +20 (+0.9%) |
| #5 | France | 1,532 | 1,519 | 1,505 | +13 (+0.9%) |
| #6 | Sri Lanka | 1,147 | 1,137 | 1,126 | +10 (+0.9%) |
| #7 | South Africa | 632 | 627 | 622 | +5 (+0.8%) |
| #8 | Pakistan | 189 | 187 | 187 | +2 (+1.1%) |
| #9 | Italy | 147 | 146 | 146 | +1 (+0.7%) |
| #10 | Germany | 137 | 136 | 136 | +1 (+0.7%) |
Largest destinations for migrants from Mauritius
2024 international migrant stock, not annual relocation flow.
| Rank | Destination | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | France | 44,709 | 44,179 | 43,746 | +530 (+1.2%) |
| #2 | Australia | 28,962 | 29,308 | 28,687 | -346 (-1.2%) |
| #3 | Canada | 20,173 | 17,915 | 16,346 | +2,258 (+12.6%) |
| #4 | Italy | 7,315 | 7,810 | 8,103 | -495 (-6.3%) |
| #5 | Belgium | 3,398 | 3,413 | 3,344 | -15 (-0.4%) |
| #6 | South Africa | 1,725 | 1,761 | 2,295 | -36 (-2.0%) |
| #7 | Seychelles | 573 | 564 | 554 | +9 (+1.6%) |
| #8 | Luxembourg | 501 | 434 | 51 | +67 (+15.4%) |
| #9 | Botswana | 244 | 231 | 218 | +13 (+5.6%) |
| #10 | Norway | 218 | 196 | 187 | +22 (+11.2%) |
WTLG input
WTLG Destination Attractiveness
68.4
Country median RAS used by RMOS, based on 1 covered WTLG cities.
WTMG provides market intelligence; WTLG provides destination intelligence.WTLG input
Visa Accessibility
85.0
Normalized RMOS component. Underlying median WTLG visa score: 85.0, based on 1 contributing cities.
Mauritius against the global RMOS universe
A descriptive comparison with the median of currently scored countries.
| Measure | Mauritius | Global median | Difference |
|---|---|---|---|
| RMOS | 43.7 | 55.8 | -12.1 |
| Migration Momentum | 34.0 | 60.1 | -26.2 |
| Migrant Market Size | 14.6 | 50.3 | -35.7 |
| Migrant Share | 31.8 | 50.0 | -18.2 |
| GDP per Capita | 58.4 | 51.1 | +7.3 |
| GDP Growth | 76.3 | 50.6 | +25.7 |
| Destination Attractiveness | 68.4 | 67.0 | +1.4 |
| Visa Accessibility | 85.0 | 60.0 | +25.0 |
Data years and limitations
- UN migrant stock and corridors: 2024; momentum compares 2024 with 2020 and 2015.
- World Bank GDP inputs use the actual observation years shown above.
- WTLG destination data reflects the current stored WTLG dataset and depends on covered WTLG cities.
- RMOS measures structural opportunity, not actual demand; migrant stock is not annual migration flow.
- Different datasets have different update cycles.
- This profile does not estimate provider revenue or demand for a specific professional service.