WTMG Intelligence
Gambia Relocation Market Intelligence
A data-driven view of Gambia's structural relocation market using migration, economic, destination-attractiveness and corridor indicators.
RMOS Score53.5772
Global RMOS Rank#92 of 171
Migration Momentum71.5
International Migrant Stock236,137
Migrant Share8.6%
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
Gambia's RMOS position
Authoritative RMOS53.5772
Global rank#92
Countries scored171
Top positionTop 53.8%
Migrant-stock rank#97 of 172
Migration-momentum rank#61 of 172
RMOS component breakdown
Weighted contributions reconcile to the stored authoritative RMOS score.
| Component | Normalized score | Weight | Weighted contribution |
|---|---|---|---|
| Migration Momentum | 71.5 | 25% | 17.8778 |
| Migrant Market Size | 43.9 | 20% | 8.7719 |
| Migrant Share | 61.2 | 15% | 9.1765 |
| GDP per Capita | 3.9 | 15% | 0.5899 |
| GDP Growth | 85.3 | 10% | 8.5311 |
| Destination Attractiveness | 61.3 | 10% | 6.1301 |
| Visa Accessibility | 50.0 | 5% | 2.5000 |
| Stored final RMOS | 53.5772 | ||
Gambia migration-market scale
Source years are shown separately because the underlying datasets update on different cycles.
MMS-1.0
Gambia Migration Momentum
These are changes in international migrant stock, not annual migration flows.
2024 migrant stock236,137
2020 migrant stock215,659
2015 migrant stock192,540
2020-2024 change+20,478 (+9.5%)
2015-2024 change+43,597 (+22.6%)
Largest migrant-stock origins into Gambia
2024 international migrant stock, not annual relocation flow.
| Rank | Origin | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | Senegal | 145,276 | 132,678 | 118,452 | +12,598 (+9.5%) |
| #2 | Guinea | 49,508 | 45,215 | 40,369 | +4,293 (+9.5%) |
| #3 | Guinea-Bissau | 15,119 | 13,808 | 12,328 | +1,311 (+9.5%) |
| #4 | Mali | 11,344 | 10,360 | 9,251 | +984 (+9.5%) |
| #5 | Mauritania | 3,992 | 3,646 | 3,257 | +346 (+9.5%) |
| #6 | Sierra Leone | 2,856 | 2,608 | 2,330 | +248 (+9.5%) |
| #7 | Liberia | 1,185 | 1,082 | 968 | +103 (+9.5%) |
Largest destinations for migrants from Gambia
2024 international migrant stock, not annual relocation flow.
| Rank | Destination | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | Spain | 29,653 | 23,430 | 18,367 | +6,223 (+26.6%) |
| #2 | Italy | 26,164 | 21,662 | 4,921 | +4,502 (+20.8%) |
| #3 | Senegal | 5,764 | 5,622 | 5,386 | +142 (+2.5%) |
| #4 | Ghana | 2,109 | 1,888 | 1,645 | +221 (+11.7%) |
| #5 | Mali | 1,629 | 1,451 | 1,237 | +178 (+12.3%) |
| #6 | Norway | 1,392 | 1,252 | 1,151 | +140 (+11.2%) |
| #7 | Togo | 1,079 | 1,071 | 1,063 | +8 (+0.7%) |
| #8 | Finland | 1,062 | 902 | 648 | +160 (+17.7%) |
| #9 | Guinea-Bissau | 917 | 1,092 | 1,495 | -175 (-16.0%) |
| #10 | Denmark | 733 | 692 | 653 | +41 (+5.9%) |
WTLG input
WTLG Destination Attractiveness
61.3
Country median RAS used by RMOS, based on 2 covered WTLG cities.
WTMG provides market intelligence; WTLG provides destination intelligence.WTLG input
Visa Accessibility
50.0
Normalized RMOS component. Underlying median WTLG visa score: 50.0, based on 2 contributing cities.
Gambia against the global RMOS universe
A descriptive comparison with the median of currently scored countries.
| Measure | Gambia | Global median | Difference |
|---|---|---|---|
| RMOS | 53.6 | 55.8 | -2.2 |
| Migration Momentum | 71.5 | 60.1 | +11.4 |
| Migrant Market Size | 43.9 | 50.3 | -6.4 |
| Migrant Share | 61.2 | 50.0 | +11.2 |
| GDP per Capita | 3.9 | 51.1 | -47.2 |
| GDP Growth | 85.3 | 50.6 | +34.7 |
| Destination Attractiveness | 61.3 | 67.0 | -5.7 |
| Visa Accessibility | 50.0 | 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.