WTMG Intelligence
Chad Relocation Market Intelligence
A data-driven view of Chad's structural relocation market using migration, economic, destination-attractiveness and corridor indicators.
This profile describes structural relocation-market conditions. It does not represent WTMG customer demand, leads, transactions or revenue.
RMOS-GLOBAL-1.0
Chad's RMOS position
RMOS component breakdown
Weighted contributions reconcile to the stored authoritative RMOS score.
| Component | Normalized score | Weight | Weighted contribution |
|---|---|---|---|
| Migration Momentum | 99.6 | 25% | 24.8904 |
| Migrant Market Size | 73.1 | 20% | 14.6199 |
| Migrant Share | 53.5 | 15% | 8.0294 |
| GDP per Capita | 4.5 | 15% | 0.6742 |
| GDP Growth | 76.8 | 10% | 7.6836 |
| Destination Attractiveness | 43.3 | 10% | 4.3306 |
| Visa Accessibility | 45.0 | 5% | 2.2500 |
| Stored final RMOS | 62.4780 | ||
Chad migration-market scale
Source years are shown separately because the underlying datasets update on different cycles.
MMS-1.0
Chad Migration Momentum
These are changes in international migrant stock, not annual migration flows.
Largest migrant-stock origins into Chad
2024 international migrant stock, not annual relocation flow.
| Rank | Origin | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | Cameroon | 40,472 | 35,635 | 30,702 | +4,837 (+13.6%) |
| #2 | Nigeria | 14,802 | 13,033 | 6,531 | +1,769 (+13.6%) |
| #3 | Libya | 1,708 | 1,504 | 1,297 | +204 (+13.6%) |
| #4 | France | 1,381 | 1,216 | 1,048 | +165 (+13.6%) |
| #5 | Gabon | 455 | 401 | 347 | +54 (+13.5%) |
Largest destinations for migrants from Chad
2024 international migrant stock, not annual relocation flow.
| Rank | Destination | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | Nigeria | 33,524 | 31,261 | 29,175 | +2,263 (+7.2%) |
| #2 | Cameroon | 30,917 | 27,852 | 33,968 | +3,065 (+11.0%) |
| #3 | South Sudan | 5,506 | 5,315 | 5,184 | +191 (+3.6%) |
| #4 | UAE | 5,007 | 4,409 | 4,211 | +598 (+13.6%) |
| #5 | Gabon | 4,904 | 4,543 | 4,132 | +361 (+7.9%) |
| #6 | Angola | 1,947 | 1,889 | 31 | +58 (+3.1%) |
| #7 | Kuwait | 1,511 | 1,378 | 1,189 | +133 (+9.7%) |
| #8 | Benin | 1,105 | 1,042 | 969 | +63 (+6.0%) |
| #9 | Libya | 970 | 918 | 858 | +52 (+5.7%) |
| #10 | Mali | 779 | 694 | 593 | +85 (+12.2%) |
WTLG input
WTLG Destination Attractiveness
43.3
Country median RAS used by RMOS, based on 1 covered WTLG cities.
WTMG provides market intelligence; WTLG provides destination intelligence.WTLG input
Visa Accessibility
45.0
Normalized RMOS component. Underlying median WTLG visa score: 45.0, based on 1 contributing cities.
Chad against the global RMOS universe
A descriptive comparison with the median of currently scored countries.
| Measure | Chad | Global median | Difference |
|---|---|---|---|
| RMOS | 62.5 | 55.8 | +6.7 |
| Migration Momentum | 99.6 | 60.1 | +39.4 |
| Migrant Market Size | 73.1 | 50.3 | +22.8 |
| Migrant Share | 53.5 | 50.0 | +3.5 |
| GDP per Capita | 4.5 | 51.1 | -46.6 |
| GDP Growth | 76.8 | 50.6 | +26.3 |
| Destination Attractiveness | 43.3 | 67.0 | -23.7 |
| 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.