WTMG Intelligence
Bhutan Relocation Market Intelligence
A data-driven view of Bhutan's structural relocation market using migration, economic, destination-attractiveness and corridor indicators.
RMOS Score48.7384
Global RMOS Rank#111 of 171
Migration Momentum50.9
International Migrant Stock55,705
Migrant Share7.0%
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
Bhutan's RMOS position
Authoritative RMOS48.7384
Global rank#111
Countries scored171
Top positionTop 64.9%
Migrant-stock rank#132 of 172
Migration-momentum rank#107 of 172
RMOS component breakdown
Weighted contributions reconcile to the stored authoritative RMOS score.
| Component | Normalized score | Weight | Weighted contribution |
|---|---|---|---|
| Migration Momentum | 50.9 | 25% | 12.7287 |
| Migrant Market Size | 23.4 | 20% | 4.6784 |
| Migrant Share | 56.5 | 15% | 8.4706 |
| GDP per Capita | 29.2 | 15% | 4.3820 |
| GDP Growth | 96.0 | 10% | 9.6045 |
| Destination Attractiveness | 66.2 | 10% | 6.6242 |
| Visa Accessibility | 45.0 | 5% | 2.2500 |
| Stored final RMOS | 48.7384 | ||
Bhutan migration-market scale
Source years are shown separately because the underlying datasets update on different cycles.
MMS-1.0
Bhutan Migration Momentum
These are changes in international migrant stock, not annual migration flows.
2024 migrant stock55,705
2020 migrant stock53,612
2015 migrant stock51,106
2020-2024 change+2,093 (+3.9%)
2015-2024 change+4,599 (+9.0%)
Largest migrant-stock origins into Bhutan
2024 international migrant stock, not annual relocation flow.
| Rank | Origin | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | India | 48,810 | 46,974 | 44,732 | +1,836 (+3.9%) |
| #2 | China | 986 | 949 | 906 | +37 (+3.9%) |
| #3 | Nepal | 780 | 751 | 717 | +29 (+3.9%) |
| #4 | USA | 147 | 141 | 136 | +6 (+4.3%) |
| #5 | Japan | 137 | 132 | 127 | +5 (+3.8%) |
| #6 | Thailand | 64 | 62 | 61 | +2 (+3.2%) |
| #7 | Bangladesh | 55 | 53 | 52 | +2 (+3.8%) |
| #8 | Denmark | 39 | 38 | 38 | +1 (+2.6%) |
| #9 | Canada | 38 | 37 | 37 | +1 (+2.7%) |
| #10 | South Korea | 34 | 33 | 33 | +1 (+3.0%) |
Largest destinations for migrants from Bhutan
2024 international migrant stock, not annual relocation flow.
| Rank | Destination | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | Nepal | 26,552 | 27,502 | 28,740 | -950 (-3.5%) |
| #2 | Australia | 25,363 | 12,424 | 5,834 | +12,939 (+104.1%) |
| #3 | India | 6,555 | 6,922 | 7,422 | -367 (-5.3%) |
| #4 | Canada | 6,227 | 4,097 | 4,284 | +2,130 (+52.0%) |
| #5 | Denmark | 617 | 625 | 646 | -8 (-1.3%) |
| #6 | Norway | 415 | 373 | 365 | +42 (+11.3%) |
| #7 | Sri Lanka | 236 | 233 | 231 | +3 (+1.3%) |
| #8 | China | 113 | 109 | 244 | +4 (+3.7%) |
| #9 | Bulgaria | 32 | 23 | 21 | +9 (+39.1%) |
| #10 | Hungary | 14 | 12 | 1 | +2 (+16.7%) |
WTLG input
WTLG Destination Attractiveness
66.2
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.
Bhutan against the global RMOS universe
A descriptive comparison with the median of currently scored countries.
| Measure | Bhutan | Global median | Difference |
|---|---|---|---|
| RMOS | 48.7 | 55.8 | -7.0 |
| Migration Momentum | 50.9 | 60.1 | -9.2 |
| Migrant Market Size | 23.4 | 50.3 | -26.9 |
| Migrant Share | 56.5 | 50.0 | +6.5 |
| GDP per Capita | 29.2 | 51.1 | -21.9 |
| GDP Growth | 96.0 | 50.6 | +45.5 |
| Destination Attractiveness | 66.2 | 67.0 | -0.8 |
| 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.