WTMG Intelligence
Seychelles Relocation Market Intelligence
A data-driven view of Seychelles's structural relocation market using migration, economic, destination-attractiveness and corridor indicators.
RMOS Score45.5397
Global RMOS Rank#119 of 171
Migration Momentum36.9
International Migrant Stock13,261
Migrant Share10.9%
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
Seychelles's RMOS position
Authoritative RMOS45.5397
Global rank#119
Countries scored171
Top positionTop 69.6%
Migrant-stock rank#157 of 172
Migration-momentum rank#131 of 172
RMOS component breakdown
Weighted contributions reconcile to the stored authoritative RMOS score.
| Component | Normalized score | Weight | Weighted contribution |
|---|---|---|---|
| Migration Momentum | 36.9 | 25% | 9.2286 |
| Migrant Market Size | 8.8 | 20% | 1.7544 |
| Migrant Share | 67.6 | 15% | 10.1471 |
| GDP per Capita | 66.3 | 15% | 9.9438 |
| GDP Growth | 49.7 | 10% | 4.9718 |
| Destination Attractiveness | 64.9 | 10% | 6.4941 |
| Visa Accessibility | 60.0 | 5% | 3.0000 |
| Stored final RMOS | 45.5397 | ||
Seychelles migration-market scale
Source years are shown separately because the underlying datasets update on different cycles.
MMS-1.0
Seychelles Migration Momentum
These are changes in international migrant stock, not annual migration flows.
2024 migrant stock13,261
2020 migrant stock13,050
2015 migrant stock12,791
2020-2024 change+211 (+1.6%)
2015-2024 change+470 (+3.7%)
Largest migrant-stock origins into Seychelles
2024 international migrant stock, not annual relocation flow.
| Rank | Origin | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | India | 6,735 | 6,628 | 6,482 | +107 (+1.6%) |
| #2 | Madagascar | 829 | 816 | 801 | +13 (+1.6%) |
| #3 | Philippines | 730 | 718 | 705 | +12 (+1.7%) |
| #4 | Sri Lanka | 619 | 609 | 598 | +10 (+1.6%) |
| #5 | Mauritius | 573 | 564 | 554 | +9 (+1.6%) |
| #6 | China | 527 | 519 | 510 | +8 (+1.5%) |
| #7 | Kenya | 422 | 415 | 409 | +7 (+1.7%) |
| #8 | South Africa | 262 | 258 | 255 | +4 (+1.6%) |
| #9 | France | 246 | 242 | 239 | +4 (+1.7%) |
| #10 | Thailand | 246 | 242 | 239 | +4 (+1.7%) |
Largest destinations for migrants from Seychelles
2024 international migrant stock, not annual relocation flow.
| Rank | Destination | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | Mozambique | 17,655 | 16,940 | 16,123 | +715 (+4.2%) |
| #2 | Australia | 2,623 | 2,831 | 3,025 | -208 (-7.3%) |
| #3 | Italy | 777 | 885 | 941 | -108 (-12.2%) |
| #4 | South Africa | 460 | 426 | 377 | +34 (+8.0%) |
| #5 | Mauritius | 125 | 124 | 124 | +1 (+0.8%) |
| #6 | Namibia | 60 | 57 | 54 | +3 (+5.3%) |
| #7 | Greece | 24 | 23 | 24 | +1 (+4.3%) |
| #8 | Sri Lanka | 24 | 24 | 25 | 0 (0.0%) |
| #9 | Denmark | 18 | 21 | 21 | -3 (-14.3%) |
| #10 | Norway | 14 | 13 | 12 | +1 (+7.7%) |
WTLG input
WTLG Destination Attractiveness
64.9
Country median RAS used by RMOS, based on 1 covered WTLG cities.
WTMG provides market intelligence; WTLG provides destination intelligence.WTLG input
Visa Accessibility
60.0
Normalized RMOS component. Underlying median WTLG visa score: 60.0, based on 1 contributing cities.
Seychelles against the global RMOS universe
A descriptive comparison with the median of currently scored countries.
| Measure | Seychelles | Global median | Difference |
|---|---|---|---|
| RMOS | 45.5 | 55.8 | -10.2 |
| Migration Momentum | 36.9 | 60.1 | -23.2 |
| Migrant Market Size | 8.8 | 50.3 | -41.5 |
| Migrant Share | 67.6 | 50.0 | +17.6 |
| GDP per Capita | 66.3 | 51.1 | +15.2 |
| GDP Growth | 49.7 | 50.6 | -0.8 |
| Destination Attractiveness | 64.9 | 67.0 | -2.1 |
| Visa Accessibility | 60.0 | 60.0 | 0.0 |
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.