WTMG Intelligence
Singapore Relocation Market Intelligence
A data-driven view of Singapore's structural relocation market using migration, economic, destination-attractiveness and corridor indicators.
RMOS Score82.0516
Global RMOS Rank#3 of 171
Migration Momentum75.0
International Migrant Stock2,841,665
Migrant Share47.1%
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
Singapore's RMOS position
Authoritative RMOS82.0516
Global rank#3
Countries scored171
Top positionTop 1.8%
Migrant-stock rank#25 of 172
Migration-momentum rank#54 of 172
RMOS component breakdown
Weighted contributions reconcile to the stored authoritative RMOS score.
| Component | Normalized score | Weight | Weighted contribution |
|---|---|---|---|
| Migration Momentum | 75.0 | 25% | 18.7500 |
| Migrant Market Size | 86.0 | 20% | 17.1930 |
| Migrant Share | 95.3 | 15% | 14.2941 |
| GDP per Capita | 96.6 | 15% | 14.4944 |
| GDP Growth | 83.1 | 10% | 8.3051 |
| Destination Attractiveness | 67.7 | 10% | 6.7650 |
| Visa Accessibility | 45.0 | 5% | 2.2500 |
| Stored final RMOS | 82.0516 | ||
Singapore migration-market scale
Source years are shown separately because the underlying datasets update on different cycles.
MMS-1.0
Singapore Migration Momentum
These are changes in international migrant stock, not annual migration flows.
2024 migrant stock2,841,665
2020 migrant stock2,589,107
2015 migrant stock2,535,340
2020-2024 change+252,558 (+9.8%)
2015-2024 change+306,325 (+12.1%)
Largest migrant-stock origins into Singapore
2024 international migrant stock, not annual relocation flow.
| Rank | Origin | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | Malaysia | 1,553,249 | 1,384,577 | 1,318,217 | +168,672 (+12.2%) |
| #2 | China | 533,745 | 509,007 | 532,271 | +24,738 (+4.9%) |
| #3 | India | 377,038 | 336,901 | 321,966 | +40,137 (+11.9%) |
| #4 | Indonesia | 180,437 | 169,056 | 172,869 | +11,381 (+6.7%) |
| #5 | USA | 26,705 | 23,638 | 22,252 | +3,067 (+13.0%) |
| #6 | Australia | 17,222 | 15,131 | 14,060 | +2,091 (+13.8%) |
| #7 | New Zealand | 3,378 | 2,966 | 2,756 | +412 (+13.9%) |
| #8 | Canada | 3,197 | 2,831 | 2,665 | +366 (+12.9%) |
Largest destinations for migrants from Singapore
2024 international migrant stock, not annual relocation flow.
| Rank | Destination | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | Malaysia | 79,926 | 76,657 | 72,596 | +3,269 (+4.3%) |
| #2 | Australia | 68,087 | 64,938 | 59,325 | +3,149 (+4.8%) |
| #3 | Bangladesh | 12,909 | 9,396 | 9,583 | +3,513 (+37.4%) |
| #4 | Canada | 12,878 | 12,678 | 13,196 | +200 (+1.6%) |
| #5 | China | 9,088 | 8,360 | 10,170 | +728 (+8.7%) |
| #6 | New Zealand | 7,784 | 7,124 | 6,032 | +660 (+9.3%) |
| #7 | India | 5,575 | 5,870 | 6,294 | -295 (-5.0%) |
| #8 | Japan | 3,472 | 12,799 | 13,474 | -9,327 (-72.9%) |
| #9 | Brunei | 1,798 | 1,678 | 1,541 | +120 (+7.2%) |
| #10 | Indonesia | 1,743 | 1,282 | 1,762 | +461 (+36.0%) |
WTLG input
WTLG Destination Attractiveness
67.7
Country median RAS used by RMOS, based on 1 covered WTLG cities.
WTMG provides market intelligence; WTLG provides destination intelligence.WTLG input
Visa Accessibility
45.0
Normalized RMOS component. Underlying median WTLG visa score: 45.0, based on 1 contributing cities.
Singapore against the global RMOS universe
A descriptive comparison with the median of currently scored countries.
| Measure | Singapore | Global median | Difference |
|---|---|---|---|
| RMOS | 82.1 | 55.8 | +26.3 |
| Migration Momentum | 75.0 | 60.1 | +14.9 |
| Migrant Market Size | 86.0 | 50.3 | +35.7 |
| Migrant Share | 95.3 | 50.0 | +45.3 |
| GDP per Capita | 96.6 | 51.1 | +45.5 |
| GDP Growth | 83.1 | 50.6 | +32.5 |
| Destination Attractiveness | 67.7 | 67.0 | +0.6 |
| Visa Accessibility | 45.0 | 60.0 | -15.0 |
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.