WTMG Intelligence
Liberia Relocation Market Intelligence
A data-driven view of Liberia's structural relocation market using migration, economic, destination-attractiveness and corridor indicators.
RMOS Score28.0199
Global RMOS Rank#164 of 171
Migration Momentum21.1
International Migrant Stock72,423
Migrant Share1.3%
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
Liberia's RMOS position
Authoritative RMOS28.0199
Global rank#164
Countries scored171
Top positionTop 95.9%
Migrant-stock rank#128 of 172
Migration-momentum rank#166 of 172
RMOS component breakdown
Weighted contributions reconcile to the stored authoritative RMOS score.
| Component | Normalized score | Weight | Weighted contribution |
|---|---|---|---|
| Migration Momentum | 21.1 | 25% | 5.2817 |
| Migrant Market Size | 25.7 | 20% | 5.1462 |
| Migrant Share | 21.2 | 15% | 3.1765 |
| GDP per Capita | 3.4 | 15% | 0.5056 |
| GDP Growth | 65.5 | 10% | 6.5537 |
| Destination Attractiveness | 51.1 | 10% | 5.1063 |
| Visa Accessibility | 45.0 | 5% | 2.2500 |
| Stored final RMOS | 28.0199 | ||
Liberia migration-market scale
Source years are shown separately because the underlying datasets update on different cycles.
MMS-1.0
Liberia Migration Momentum
These are changes in international migrant stock, not annual migration flows.
2024 migrant stock72,423
2020 migrant stock87,947
2015 migrant stock112,111
2020-2024 change-15,524 (-17.7%)
2015-2024 change-39,688 (-35.4%)
Largest migrant-stock origins into Liberia
2024 international migrant stock, not annual relocation flow.
| Rank | Origin | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | Guinea | 22,216 | 26,978 | 32,482 | -4,762 (-17.7%) |
| #2 | Côte d’Ivoire | 16,235 | 19,715 | 36,541 | -3,480 (-17.7%) |
| #3 | Sierra Leone | 13,878 | 16,853 | 14,536 | -2,975 (-17.7%) |
| #4 | Ghana | 6,196 | 7,524 | 8,113 | -1,328 (-17.7%) |
| #5 | Nigeria | 3,595 | 4,366 | 5,649 | -771 (-17.7%) |
| #6 | Mali | 924 | 1,122 | 1,454 | -198 (-17.6%) |
| #7 | Lebanon | 635 | 771 | 999 | -136 (-17.6%) |
| #8 | India | 520 | 631 | 817 | -111 (-17.6%) |
| #9 | Gambia | 519 | 630 | 816 | -111 (-17.6%) |
| #10 | Guinea-Bissau | 330 | 401 | 521 | -71 (-17.7%) |
Largest destinations for migrants from Liberia
2024 international migrant stock, not annual relocation flow.
| Rank | Destination | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | Ghana | 39,038 | 34,940 | 30,418 | +4,098 (+11.7%) |
| #2 | Israel | 38,437 | 37,675 | 36,756 | +762 (+2.0%) |
| #3 | Nigeria | 23,602 | 22,009 | 20,541 | +1,593 (+7.2%) |
| #4 | Côte d’Ivoire | 16,014 | 23,757 | 33,436 | -7,743 (-32.6%) |
| #5 | Sierra Leone | 8,462 | 9,097 | 10,917 | -635 (-7.0%) |
| #6 | Cameroon | 5,501 | 4,956 | 4,255 | +545 (+11.0%) |
| #7 | Australia | 3,630 | 3,579 | 3,518 | +51 (+1.4%) |
| #8 | Guinea | 2,567 | 2,655 | 2,765 | -88 (-3.3%) |
| #9 | Italy | 2,038 | 2,181 | 1,942 | -143 (-6.6%) |
| #10 | Mali | 1,473 | 1,312 | 1,119 | +161 (+12.3%) |
WTLG input
WTLG Destination Attractiveness
51.1
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.
Liberia against the global RMOS universe
A descriptive comparison with the median of currently scored countries.
| Measure | Liberia | Global median | Difference |
|---|---|---|---|
| RMOS | 28.0 | 55.8 | -27.7 |
| Migration Momentum | 21.1 | 60.1 | -39.0 |
| Migrant Market Size | 25.7 | 50.3 | -24.6 |
| Migrant Share | 21.2 | 50.0 | -28.8 |
| GDP per Capita | 3.4 | 51.1 | -47.8 |
| GDP Growth | 65.5 | 50.6 | +15.0 |
| Destination Attractiveness | 51.1 | 67.0 | -16.0 |
| 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.