WTMG Intelligence
Nepal Relocation Market Intelligence
A data-driven view of Nepal's structural relocation market using migration, economic, destination-attractiveness and corridor indicators.
RMOS Score38.5102
Global RMOS Rank#144 of 171
Migration Momentum30.2
International Migrant Stock470,719
Migrant Share1.6%
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
Nepal's RMOS position
Authoritative RMOS38.5102
Global rank#144
Countries scored171
Top positionTop 84.2%
Migrant-stock rank#77 of 172
Migration-momentum rank#152 of 172
RMOS component breakdown
Weighted contributions reconcile to the stored authoritative RMOS score.
| Component | Normalized score | Weight | Weighted contribution |
|---|---|---|---|
| Migration Momentum | 30.2 | 25% | 7.5539 |
| Migrant Market Size | 55.6 | 20% | 11.1111 |
| Migrant Share | 25.3 | 15% | 3.7941 |
| GDP per Capita | 12.9 | 15% | 1.9382 |
| GDP Growth | 58.8 | 10% | 5.8757 |
| Destination Attractiveness | 59.9 | 10% | 5.9872 |
| Visa Accessibility | 45.0 | 5% | 2.2500 |
| Stored final RMOS | 38.5102 | ||
Nepal migration-market scale
Source years are shown separately because the underlying datasets update on different cycles.
MMS-1.0
Nepal Migration Momentum
These are changes in international migrant stock, not annual migration flows.
2024 migrant stock470,719
2020 migrant stock487,564
2015 migrant stock509,471
2020-2024 change-16,845 (-3.5%)
2015-2024 change-38,752 (-7.6%)
Largest migrant-stock origins into Nepal
2024 international migrant stock, not annual relocation flow.
| Rank | Origin | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | India | 412,190 | 426,941 | 446,113 | -14,751 (-3.5%) |
| #2 | Bhutan | 26,552 | 27,502 | 28,740 | -950 (-3.5%) |
| #3 | China | 18,757 | 19,428 | 20,302 | -671 (-3.5%) |
| #4 | Pakistan | 1,170 | 1,212 | 1,268 | -42 (-3.5%) |
| #5 | Bangladesh | 214 | 222 | 233 | -8 (-3.6%) |
| #6 | Sri Lanka | 41 | 42 | 46 | -1 (-2.4%) |
Largest destinations for migrants from Nepal
2024 international migrant stock, not annual relocation flow.
| Rank | Destination | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | India | 663,518 | 696,618 | 746,906 | -33,100 (-4.8%) |
| #2 | Malaysia | 502,596 | 502,596 | 502,596 | 0 (0.0%) |
| #3 | Saudi Arabia | 297,561 | 297,930 | 280,894 | -369 (-0.1%) |
| #4 | USA | 264,317 | 175,669 | 121,642 | +88,648 (+50.5%) |
| #5 | Australia | 197,472 | 128,651 | 50,235 | +68,821 (+53.5%) |
| #6 | Japan | 185,644 | 98,765 | 49,012 | +86,879 (+88.0%) |
| #7 | Bangladesh | 52,621 | 38,301 | 39,059 | +14,320 (+37.4%) |
| #8 | South Korea | 43,743 | 39,667 | 27,532 | +4,076 (+10.3%) |
| #9 | Canada | 29,554 | 18,561 | 13,971 | +10,993 (+59.2%) |
| #10 | Kuwait | 26,292 | 23,979 | 20,658 | +2,313 (+9.6%) |
WTLG input
WTLG Destination Attractiveness
59.9
Country median RAS used by RMOS, based on 1 covered WTLG cities.
WTMG provides market intelligence; WTLG provides destination intelligence.WTLG input
Visa Accessibility
45.0
Normalized RMOS component. Underlying median WTLG visa score: 45.0, based on 1 contributing cities.
Nepal against the global RMOS universe
A descriptive comparison with the median of currently scored countries.
| Measure | Nepal | Global median | Difference |
|---|---|---|---|
| RMOS | 38.5 | 55.8 | -17.3 |
| Migration Momentum | 30.2 | 60.1 | -29.9 |
| Migrant Market Size | 55.6 | 50.3 | +5.3 |
| Migrant Share | 25.3 | 50.0 | -24.7 |
| GDP per Capita | 12.9 | 51.1 | -38.2 |
| GDP Growth | 58.8 | 50.6 | +8.2 |
| Destination Attractiveness | 59.9 | 67.0 | -7.1 |
| 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.