WTMG Intelligence
Mongolia Relocation Market Intelligence
A data-driven view of Mongolia'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
Mongolia's RMOS position
RMOS component breakdown
Weighted contributions reconcile to the stored authoritative RMOS score.
| Component | Normalized score | Weight | Weighted contribution |
|---|---|---|---|
| Migration Momentum | 56.3 | 25% | 14.0748 |
| Migrant Market Size | 12.3 | 20% | 2.4561 |
| Migrant Share | 11.2 | 15% | 1.6765 |
| GDP per Capita | 42.7 | 15% | 6.4045 |
| GDP Growth | 81.9 | 10% | 8.1921 |
| Destination Attractiveness | 64.0 | 10% | 6.3980 |
| Visa Accessibility | 60.0 | 5% | 3.0000 |
| Stored final RMOS | 42.2020 | ||
Mongolia migration-market scale
Source years are shown separately because the underlying datasets update on different cycles.
MMS-1.0
Mongolia Migration Momentum
These are changes in international migrant stock, not annual migration flows.
Largest migrant-stock origins into Mongolia
2024 international migrant stock, not annual relocation flow.
| Rank | Origin | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | China | 12,085 | 11,419 | 10,595 | +666 (+5.8%) |
| #2 | Russia | 3,420 | 3,232 | 3,012 | +188 (+5.8%) |
| #3 | South Korea | 2,103 | 1,987 | 1,853 | +116 (+5.8%) |
| #4 | USA | 906 | 856 | 799 | +50 (+5.8%) |
| #5 | Japan | 470 | 444 | 415 | +26 (+5.9%) |
| #6 | Vietnam | 314 | 297 | 278 | +17 (+5.7%) |
| #7 | Australia | 262 | 248 | 233 | +14 (+5.6%) |
| #8 | Türkiye | 250 | 236 | 222 | +14 (+5.9%) |
| #9 | Kazakhstan | 238 | 225 | 210 | +13 (+5.8%) |
| #10 | Germany | 206 | 195 | 183 | +11 (+5.6%) |
Largest destinations for migrants from Mongolia
2024 international migrant stock, not annual relocation flow.
| Rank | Destination | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | Kazakhstan | 75,801 | 72,075 | 67,150 | +3,726 (+5.2%) |
| #2 | South Korea | 45,698 | 36,980 | 21,849 | +8,718 (+23.6%) |
| #3 | Japan | 20,179 | 14,111 | 7,193 | +6,068 (+43.0%) |
| #4 | Australia | 11,188 | 6,319 | 1,782 | +4,869 (+77.1%) |
| #5 | Sweden | 6,866 | 4,905 | 2,485 | +1,961 (+40.0%) |
| #6 | Russia | 5,750 | 9,512 | 14,168 | -3,762 (-39.6%) |
| #7 | Czech Republic | 5,498 | 5,543 | 5,599 | -45 (-0.8%) |
| #8 | Hungary | 2,114 | 1,792 | 862 | +322 (+18.0%) |
| #9 | China | 1,078 | 1,023 | 2,172 | +55 (+5.4%) |
| #10 | Poland | 386 | 362 | 414 | +24 (+6.6%) |
WTLG input
WTLG Destination Attractiveness
64.0
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.
Mongolia against the global RMOS universe
A descriptive comparison with the median of currently scored countries.
| Measure | Mongolia | Global median | Difference |
|---|---|---|---|
| RMOS | 42.2 | 55.8 | -13.6 |
| Migration Momentum | 56.3 | 60.1 | -3.8 |
| Migrant Market Size | 12.3 | 50.3 | -38.0 |
| Migrant Share | 11.2 | 50.0 | -38.8 |
| GDP per Capita | 42.7 | 51.1 | -8.4 |
| GDP Growth | 81.9 | 50.6 | +31.4 |
| Destination Attractiveness | 64.0 | 67.0 | -3.0 |
| 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.