WTMG Intelligence
Guinea Relocation Market Intelligence
A data-driven view of Guinea's structural relocation market using migration, economic, destination-attractiveness and corridor indicators.
RMOS Score34.0856
Global RMOS Rank#155 of 171
Migration Momentum28.1
International Migrant Stock117,416
Migrant Share0.8%
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
Guinea's RMOS position
Authoritative RMOS34.0856
Global rank#155
Countries scored171
Top positionTop 90.6%
Migrant-stock rank#114 of 172
Migration-momentum rank#156 of 172
RMOS component breakdown
Weighted contributions reconcile to the stored authoritative RMOS score.
| Component | Normalized score | Weight | Weighted contribution |
|---|---|---|---|
| Migration Momentum | 28.1 | 25% | 7.0354 |
| Migrant Market Size | 33.9 | 20% | 6.7836 |
| Migrant Share | 14.1 | 15% | 2.1176 |
| GDP per Capita | 14.6 | 15% | 2.1910 |
| GDP Growth | 83.6 | 10% | 8.3616 |
| Destination Attractiveness | 51.0 | 10% | 5.0964 |
| Visa Accessibility | 50.0 | 5% | 2.5000 |
| Stored final RMOS | 34.0856 | ||
Guinea migration-market scale
Source years are shown separately because the underlying datasets update on different cycles.
MMS-1.0
Guinea Migration Momentum
These are changes in international migrant stock, not annual migration flows.
2024 migrant stock117,416
2020 migrant stock121,437
2015 migrant stock126,657
2020-2024 change-4,021 (-3.3%)
2015-2024 change-9,241 (-7.3%)
Largest migrant-stock origins into Guinea
2024 international migrant stock, not annual relocation flow.
| Rank | Origin | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | Mali | 43,694 | 45,192 | 46,991 | -1,498 (-3.3%) |
| #2 | Equatorial Guinea | 9,933 | 10,274 | 10,695 | -341 (-3.3%) |
| #3 | Sierra Leone | 8,065 | 8,342 | 8,683 | -277 (-3.3%) |
| #4 | Côte d’Ivoire | 7,401 | 7,654 | 7,968 | -253 (-3.3%) |
| #5 | Algeria | 6,542 | 6,766 | 7,044 | -224 (-3.3%) |
| #6 | Guinea-Bissau | 4,217 | 4,361 | 4,540 | -144 (-3.3%) |
| #7 | Antigua and Barbuda | 4,134 | 4,276 | 4,452 | -142 (-3.3%) |
| #8 | Liberia | 2,567 | 2,655 | 2,765 | -88 (-3.3%) |
| #9 | Colombia | 2,436 | 2,519 | 2,623 | -83 (-3.3%) |
| #10 | Senegal | 1,985 | 2,053 | 2,139 | -68 (-3.3%) |
Largest destinations for migrants from Guinea
2024 international migrant stock, not annual relocation flow.
| Rank | Destination | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | Côte d’Ivoire | 111,634 | 112,571 | 113,743 | -937 (-0.8%) |
| #2 | France | 92,446 | 69,716 | 41,415 | +22,730 (+32.6%) |
| #3 | Senegal | 54,779 | 53,430 | 51,711 | +1,349 (+2.5%) |
| #4 | Gambia | 49,508 | 45,215 | 40,369 | +4,293 (+9.5%) |
| #5 | Mali | 47,098 | 41,960 | 35,755 | +5,138 (+12.2%) |
| #6 | Sierra Leone | 33,542 | 36,058 | 39,375 | -2,516 (-7.0%) |
| #7 | Liberia | 22,216 | 26,978 | 32,482 | -4,762 (-17.7%) |
| #8 | Belgium | 21,859 | 17,921 | 13,285 | +3,938 (+22.0%) |
| #9 | Angola | 18,697 | 18,142 | 9,252 | +555 (+3.1%) |
| #10 | Italy | 14,112 | 12,278 | 3,960 | +1,834 (+14.9%) |
WTLG input
WTLG Destination Attractiveness
51.0
Country median RAS used by RMOS, based on 1 covered WTLG cities.
WTMG provides market intelligence; WTLG provides destination intelligence.WTLG input
Visa Accessibility
50.0
Normalized RMOS component. Underlying median WTLG visa score: 50.0, based on 1 contributing cities.
Guinea against the global RMOS universe
A descriptive comparison with the median of currently scored countries.
| Measure | Guinea | Global median | Difference |
|---|---|---|---|
| RMOS | 34.1 | 55.8 | -21.7 |
| Migration Momentum | 28.1 | 60.1 | -32.0 |
| Migrant Market Size | 33.9 | 50.3 | -16.4 |
| Migrant Share | 14.1 | 50.0 | -35.9 |
| GDP per Capita | 14.6 | 51.1 | -36.5 |
| GDP Growth | 83.6 | 50.6 | +33.1 |
| Destination Attractiveness | 51.0 | 67.0 | -16.1 |
| 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.