WTMG Intelligence
Malawi Relocation Market Intelligence
A data-driven view of Malawi'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
Malawi's RMOS position
RMOS component breakdown
Weighted contributions reconcile to the stored authoritative RMOS score.
| Component | Normalized score | Weight | Weighted contribution |
|---|---|---|---|
| Migration Momentum | 30.7 | 25% | 7.6838 |
| Migrant Market Size | 38.0 | 20% | 7.6023 |
| Migrant Share | 16.5 | 15% | 2.4706 |
| GDP per Capita | 0.6 | 15% | 0.0843 |
| GDP Growth | 24.9 | 10% | 2.4859 |
| Destination Attractiveness | 64.7 | 10% | 6.4674 |
| Visa Accessibility | 60.0 | 5% | 3.0000 |
| Stored final RMOS | 29.7942 | ||
Malawi migration-market scale
Source years are shown separately because the underlying datasets update on different cycles.
MMS-1.0
Malawi Migration Momentum
These are changes in international migrant stock, not annual migration flows.
Largest migrant-stock origins into Malawi
2024 international migrant stock, not annual relocation flow.
| Rank | Origin | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | Mozambique | 39,156 | 40,131 | 47,220 | -975 (-2.4%) |
| #2 | Zambia | 30,614 | 31,375 | 36,918 | -761 (-2.4%) |
| #3 | Zimbabwe | 26,561 | 27,221 | 32,030 | -660 (-2.4%) |
| #4 | Rwanda | 6,128 | 6,280 | 5,582 | -152 (-2.4%) |
| #5 | South Africa | 5,907 | 6,054 | 7,124 | -147 (-2.4%) |
| #6 | India | 1,727 | 1,770 | 2,083 | -43 (-2.4%) |
Largest destinations for migrants from Malawi
2024 international migrant stock, not annual relocation flow.
| Rank | Destination | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | South Africa | 220,437 | 177,019 | 121,300 | +43,418 (+24.5%) |
| #2 | Zimbabwe | 111,872 | 108,491 | 104,247 | +3,381 (+3.1%) |
| #3 | Mozambique | 65,284 | 62,643 | 59,620 | +2,641 (+4.2%) |
| #4 | Zambia | 17,796 | 13,422 | 10,363 | +4,374 (+32.6%) |
| #5 | Australia | 1,853 | 1,692 | 1,414 | +161 (+9.5%) |
| #6 | Botswana | 1,560 | 1,478 | 1,384 | +82 (+5.5%) |
| #7 | Portugal | 586 | 521 | 457 | +65 (+12.5%) |
| #8 | Namibia | 409 | 386 | 361 | +23 (+6.0%) |
| #9 | Norway | 125 | 112 | 119 | +13 (+11.6%) |
| #10 | Finland | 121 | 103 | 50 | +18 (+17.5%) |
WTLG input
WTLG Destination Attractiveness
64.7
Country median RAS used by RMOS, based on 1 covered WTLG cities.
WTMG provides market intelligence; WTLG provides destination intelligence.WTLG input
Visa Accessibility
60.0
Normalized RMOS component. Underlying median WTLG visa score: 60.0, based on 1 contributing cities.
Malawi against the global RMOS universe
A descriptive comparison with the median of currently scored countries.
| Measure | Malawi | Global median | Difference |
|---|---|---|---|
| RMOS | 29.8 | 55.8 | -26.0 |
| Migration Momentum | 30.7 | 60.1 | -29.4 |
| Migrant Market Size | 38.0 | 50.3 | -12.3 |
| Migrant Share | 16.5 | 50.0 | -33.5 |
| GDP per Capita | 0.6 | 51.1 | -50.6 |
| GDP Growth | 24.9 | 50.6 | -25.7 |
| Destination Attractiveness | 64.7 | 67.0 | -2.3 |
| Visa Accessibility | 60.0 | 60.0 | 0.0 |
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.