WTMG Intelligence
Equatorial Guinea Relocation Market Intelligence
A data-driven view of Equatorial Guinea's structural relocation market using migration, economic, destination-attractiveness and corridor indicators.
RMOS Score52.6630
Global RMOS Rank#95 of 171
Migration Momentum68.5
International Migrant Stock248,930
Migrant Share13.2%
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
Equatorial Guinea's RMOS position
Authoritative RMOS52.6630
Global rank#95
Countries scored171
Top positionTop 55.6%
Migrant-stock rank#96 of 172
Migration-momentum rank#66 of 172
RMOS component breakdown
Weighted contributions reconcile to the stored authoritative RMOS score.
| Component | Normalized score | Weight | Weighted contribution |
|---|---|---|---|
| Migration Momentum | 68.5 | 25% | 17.1341 |
| Migrant Market Size | 44.4 | 20% | 8.8889 |
| Migrant Share | 72.4 | 15% | 10.8529 |
| GDP per Capita | 44.4 | 15% | 6.6573 |
| GDP Growth | 13.0 | 10% | 1.2994 |
| Destination Attractiveness | 58.3 | 10% | 5.8304 |
| Visa Accessibility | 40.0 | 5% | 2.0000 |
| Stored final RMOS | 52.6630 | ||
Equatorial Guinea migration-market scale
Source years are shown separately because the underlying datasets update on different cycles.
MMS-1.0
Equatorial Guinea Migration Momentum
These are changes in international migrant stock, not annual migration flows.
2024 migrant stock248,930
2020 migrant stock230,618
2015 migrant stock209,611
2020-2024 change+18,312 (+7.9%)
2015-2024 change+39,319 (+18.8%)
Largest migrant-stock origins into Equatorial Guinea
2024 international migrant stock, not annual relocation flow.
| Rank | Origin | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | France | 5,917 | 5,482 | 4,561 | +435 (+7.9%) |
| #2 | São Tomé and Príncipe | 1,936 | 1,794 | 1,493 | +142 (+7.9%) |
| #3 | Spain | 1,658 | 1,536 | 1,279 | +122 (+7.9%) |
| #4 | Cameroon | 1,033 | 957 | 798 | +76 (+7.9%) |
| #5 | Nigeria | 464 | 430 | 359 | +34 (+7.9%) |
| #6 | Gabon | 331 | 307 | 256 | +24 (+7.8%) |
Explore Global Migration Corridors with Equatorial Guinea selected
Largest destinations for migrants from Equatorial Guinea
2024 international migrant stock, not annual relocation flow.
| Rank | Destination | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | Gabon | 94,354 | 87,411 | 79,434 | +6,943 (+7.9%) |
| #2 | Spain | 24,372 | 21,824 | 19,370 | +2,548 (+11.7%) |
| #3 | Guinea | 9,933 | 10,274 | 10,695 | -341 (-3.3%) |
| #4 | Cameroon | 4,341 | 3,911 | 3,357 | +430 (+11.0%) |
| #5 | Mali | 1,056 | 941 | 803 | +115 (+12.2%) |
| #6 | China | 602 | 525 | 293 | +77 (+14.7%) |
| #7 | Portugal | 282 | 251 | 221 | +31 (+12.4%) |
| #8 | São Tomé and Príncipe | 118 | 129 | 146 | -11 (-8.5%) |
| #9 | Togo | 108 | 107 | 107 | +1 (+0.9%) |
| #10 | Iceland | 36 | 24 | 9 | +12 (+50.0%) |
Explore Global Migration Corridors with Equatorial Guinea selected
WTLG input
WTLG Destination Attractiveness
58.3
Country median RAS used by RMOS, based on 1 covered WTLG cities.
WTMG provides market intelligence; WTLG provides destination intelligence.WTLG input
Visa Accessibility
40.0
Normalized RMOS component. Underlying median WTLG visa score: 40.0, based on 1 contributing cities.
Equatorial Guinea against the global RMOS universe
A descriptive comparison with the median of currently scored countries.
| Measure | Equatorial Guinea | Global median | Difference |
|---|---|---|---|
| RMOS | 52.7 | 55.8 | -3.1 |
| Migration Momentum | 68.5 | 60.1 | +8.4 |
| Migrant Market Size | 44.4 | 50.3 | -5.8 |
| Migrant Share | 72.4 | 50.0 | +22.4 |
| GDP per Capita | 44.4 | 51.1 | -6.7 |
| GDP Growth | 13.0 | 50.6 | -37.6 |
| Destination Attractiveness | 58.3 | 67.0 | -8.7 |
| Visa Accessibility | 40.0 | 60.0 | -20.0 |
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.