WTMG Intelligence
Gabon Relocation Market Intelligence
A data-driven view of Gabon's structural relocation market using migration, economic, destination-attractiveness and corridor indicators.
RMOS Score61.8184
Global RMOS Rank#67 of 171
Migration Momentum70.0
International Migrant Stock449,746
Migrant Share17.7%
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
Gabon's RMOS position
Authoritative RMOS61.8184
Global rank#67
Countries scored171
Top positionTop 39.2%
Migrant-stock rank#78 of 172
Migration-momentum rank#64 of 172
RMOS component breakdown
Weighted contributions reconcile to the stored authoritative RMOS score.
| Component | Normalized score | Weight | Weighted contribution |
|---|---|---|---|
| Migration Momentum | 70.0 | 25% | 17.5113 |
| Migrant Market Size | 55.0 | 20% | 10.9942 |
| Migrant Share | 81.8 | 15% | 12.2647 |
| GDP per Capita | 50.0 | 15% | 7.5000 |
| GDP Growth | 52.0 | 10% | 5.1977 |
| Destination Attractiveness | 58.5 | 10% | 5.8505 |
| Visa Accessibility | 50.0 | 5% | 2.5000 |
| Stored final RMOS | 61.8184 | ||
Gabon migration-market scale
Source years are shown separately because the underlying datasets update on different cycles.
MMS-1.0
Gabon Migration Momentum
These are changes in international migrant stock, not annual migration flows.
2024 migrant stock449,746
2020 migrant stock416,651
2015 migrant stock378,686
2020-2024 change+33,095 (+7.9%)
2015-2024 change+71,060 (+18.8%)
Largest migrant-stock origins into Gabon
2024 international migrant stock, not annual relocation flow.
| Rank | Origin | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | Equatorial Guinea | 94,354 | 87,411 | 79,434 | +6,943 (+7.9%) |
| #2 | Mali | 59,837 | 55,434 | 50,384 | +4,403 (+7.9%) |
| #3 | Benin | 56,627 | 52,460 | 47,682 | +4,167 (+7.9%) |
| #4 | Cameroon | 54,949 | 50,906 | 46,269 | +4,043 (+7.9%) |
| #5 | Senegal | 33,087 | 30,652 | 27,861 | +2,435 (+7.9%) |
| #6 | Nigeria | 25,938 | 24,029 | 21,840 | +1,909 (+7.9%) |
| #7 | Togo | 24,966 | 23,129 | 21,023 | +1,837 (+7.9%) |
| #8 | France | 17,428 | 16,146 | 14,678 | +1,282 (+7.9%) |
| #9 | São Tomé and Príncipe | 7,058 | 6,539 | 5,944 | +519 (+7.9%) |
| #10 | Ghana | 6,900 | 6,392 | 5,811 | +508 (+7.9%) |
Largest destinations for migrants from Gabon
2024 international migrant stock, not annual relocation flow.
| Rank | Destination | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | France | 36,785 | 31,774 | 23,500 | +5,011 (+15.8%) |
| #2 | Mali | 15,565 | 13,867 | 11,817 | +1,698 (+12.2%) |
| #3 | Cameroon | 1,363 | 1,228 | 1,055 | +135 (+11.0%) |
| #4 | Togo | 910 | 903 | 896 | +7 (+0.8%) |
| #5 | Portugal | 728 | 647 | 566 | +81 (+12.5%) |
| #6 | Italy | 662 | 551 | 367 | +111 (+20.1%) |
| #7 | South Africa | 652 | 666 | 931 | -14 (-2.1%) |
| #8 | Chad | 455 | 401 | 347 | +54 (+13.5%) |
| #9 | Equatorial Guinea | 331 | 307 | 256 | +24 (+7.8%) |
| #10 | São Tomé and Príncipe | 192 | 210 | 237 | -18 (-8.6%) |
WTLG input
WTLG Destination Attractiveness
58.5
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.
Gabon against the global RMOS universe
A descriptive comparison with the median of currently scored countries.
| Measure | Gabon | Global median | Difference |
|---|---|---|---|
| RMOS | 61.8 | 55.8 | +6.1 |
| Migration Momentum | 70.0 | 60.1 | +9.9 |
| Migrant Market Size | 55.0 | 50.3 | +4.7 |
| Migrant Share | 81.8 | 50.0 | +31.8 |
| GDP per Capita | 50.0 | 51.1 | -1.1 |
| GDP Growth | 52.0 | 50.6 | +1.4 |
| Destination Attractiveness | 58.5 | 67.0 | -8.5 |
| 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.