WTMG Intelligence
South Korea Relocation Market Intelligence
A data-driven view of South Korea's structural relocation market using migration, economic, destination-attractiveness and corridor indicators.
This profile describes structural relocation-market conditions. It does not represent WTMG customer demand, leads, transactions or revenue.
RMOS-GLOBAL-1.0
South Korea's RMOS position
RMOS component breakdown
Weighted contributions reconcile to the stored authoritative RMOS score.
| Component | Normalized score | Weight | Weighted contribution |
|---|---|---|---|
| Migration Momentum | 60.1 | 25% | 15.0219 |
| Migrant Market Size | 78.9 | 20% | 15.7895 |
| Migrant Share | 40.0 | 15% | 6.0000 |
| GDP per Capita | 82.0 | 15% | 12.3034 |
| GDP Growth | 29.9 | 10% | 2.9944 |
| Destination Attractiveness | 73.9 | 10% | 7.3859 |
| Visa Accessibility | 70.0 | 5% | 3.5000 |
| Stored final RMOS | 62.9950 | ||
South Korea migration-market scale
Source years are shown separately because the underlying datasets update on different cycles.
MMS-1.0
South Korea Migration Momentum
These are changes in international migrant stock, not annual migration flows.
Largest migrant-stock origins into South Korea
2024 international migrant stock, not annual relocation flow.
| Rank | Origin | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | China | 756,684 | 751,745 | 662,499 | +4,939 (+0.7%) |
| #2 | Vietnam | 260,609 | 199,080 | 122,422 | +61,529 (+30.9%) |
| #3 | Thailand | 199,861 | 171,058 | 73,878 | +28,803 (+16.8%) |
| #4 | Uzbekistan | 59,361 | 59,358 | 36,989 | +3 (+0.0%) |
| #5 | USA | 53,226 | 65,941 | 54,293 | -12,715 (-19.3%) |
| #6 | Mongolia | 45,698 | 36,980 | 21,849 | +8,718 (+23.6%) |
| #7 | Nepal | 43,743 | 39,667 | 27,532 | +4,076 (+10.3%) |
| #8 | Philippines | 37,555 | 45,708 | 49,570 | -8,153 (-17.8%) |
| #9 | Cambodia | 33,452 | 42,303 | 40,557 | -8,851 (-20.9%) |
| #10 | Kazakhstan | 30,061 | 27,693 | 4,109 | +2,368 (+8.6%) |
Explore Global Migration Corridors with South Korea selected
Largest destinations for migrants from South Korea
2024 international migrant stock, not annual relocation flow.
| Rank | Destination | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | USA | 1,083,174 | 1,091,276 | 1,126,824 | -8,102 (-0.7%) |
| #2 | Japan | 393,944 | 451,485 | 521,159 | -57,541 (-12.7%) |
| #3 | Canada | 151,409 | 139,971 | 147,072 | +11,438 (+8.2%) |
| #4 | Australia | 114,174 | 111,668 | 106,655 | +2,506 (+2.2%) |
| #5 | China | 65,073 | 60,578 | 86,238 | +4,495 (+7.4%) |
| #6 | Vietnam | 48,707 | 18,382 | 15,272 | +30,325 (+165.0%) |
| #7 | New Zealand | 31,878 | 31,307 | 30,491 | +571 (+1.8%) |
| #8 | Thailand | 16,518 | 15,810 | 15,169 | +708 (+4.5%) |
| #9 | Sweden | 12,163 | 11,686 | 10,714 | +477 (+4.1%) |
| #10 | Brazil | 9,395 | 9,271 | 8,801 | +124 (+1.3%) |
Explore Global Migration Corridors with South Korea selected
WTLG input
WTLG Destination Attractiveness
73.9
Country median RAS used by RMOS, based on 3 covered WTLG cities.
WTMG provides market intelligence; WTLG provides destination intelligence.WTLG input
Visa Accessibility
70.0
Normalized RMOS component. Underlying median WTLG visa score: 70.0, based on 3 contributing cities.
South Korea against the global RMOS universe
A descriptive comparison with the median of currently scored countries.
| Measure | South Korea | Global median | Difference |
|---|---|---|---|
| RMOS | 63.0 | 55.8 | +7.2 |
| Migration Momentum | 60.1 | 60.1 | 0.0 |
| Migrant Market Size | 78.9 | 50.3 | +28.7 |
| Migrant Share | 40.0 | 50.0 | -10.0 |
| GDP per Capita | 82.0 | 51.1 | +30.9 |
| GDP Growth | 29.9 | 50.6 | -20.6 |
| Destination Attractiveness | 73.9 | 67.0 | +6.8 |
| Visa Accessibility | 70.0 | 60.0 | +10.0 |
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.