WTMG Intelligence
Zambia Relocation Market Intelligence
A data-driven view of Zambia's structural relocation market using migration, economic, destination-attractiveness and corridor indicators.
RMOS Score51.6300
Global RMOS Rank#98 of 171
Migration Momentum87.0
International Migrant Stock249,205
Migrant Share1.2%
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
Zambia's RMOS position
Authoritative RMOS51.6300
Global rank#98
Countries scored171
Top positionTop 57.3%
Migrant-stock rank#95 of 172
Migration-momentum rank#28 of 172
RMOS component breakdown
Weighted contributions reconcile to the stored authoritative RMOS score.
| Component | Normalized score | Weight | Weighted contribution |
|---|---|---|---|
| Migration Momentum | 87.0 | 25% | 21.7398 |
| Migrant Market Size | 45.0 | 20% | 9.0058 |
| Migrant Share | 20.6 | 15% | 3.0882 |
| GDP per Capita | 10.1 | 15% | 1.5169 |
| GDP Growth | 62.1 | 10% | 6.2147 |
| Destination Attractiveness | 68.1 | 10% | 6.8146 |
| Visa Accessibility | 65.0 | 5% | 3.2500 |
| Stored final RMOS | 51.6300 | ||
Zambia migration-market scale
Source years are shown separately because the underlying datasets update on different cycles.
MMS-1.0
Zambia Migration Momentum
These are changes in international migrant stock, not annual migration flows.
2024 migrant stock249,205
2020 migrant stock187,955
2015 migrant stock132,107
2020-2024 change+61,250 (+32.6%)
2015-2024 change+117,098 (+88.6%)
Largest migrant-stock origins into Zambia
2024 international migrant stock, not annual relocation flow.
| Rank | Origin | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | Angola | 41,665 | 31,424 | 27,864 | +10,241 (+32.6%) |
| #2 | Zimbabwe | 22,297 | 16,816 | 13,175 | +5,481 (+32.6%) |
| #3 | Malawi | 17,796 | 13,422 | 10,363 | +4,374 (+32.6%) |
| #4 | Rwanda | 12,201 | 9,202 | 6,573 | +2,999 (+32.6%) |
| #5 | India | 7,569 | 5,709 | 4,078 | +1,860 (+32.6%) |
| #6 | South Africa | 5,022 | 3,788 | 2,706 | +1,234 (+32.6%) |
| #7 | Mozambique | 2,125 | 1,603 | 1,146 | +522 (+32.6%) |
| #8 | China | 1,645 | 1,241 | 887 | +404 (+32.6%) |
| #9 | USA | 1,550 | 1,169 | 836 | +381 (+32.6%) |
| #10 | Botswana | 1,498 | 1,130 | 808 | +368 (+32.6%) |
Largest destinations for migrants from Zambia
2024 international migrant stock, not annual relocation flow.
| Rank | Destination | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | Zimbabwe | 32,680 | 31,692 | 30,538 | +988 (+3.1%) |
| #2 | Malawi | 30,614 | 31,375 | 36,918 | -761 (-2.4%) |
| #3 | South Africa | 22,946 | 25,677 | 28,326 | -2,731 (-10.6%) |
| #4 | Australia | 8,060 | 7,609 | 7,323 | +451 (+5.9%) |
| #5 | Mozambique | 5,539 | 5,315 | 5,059 | +224 (+4.2%) |
| #6 | Botswana | 4,661 | 4,415 | 4,128 | +246 (+5.6%) |
| #7 | Namibia | 3,359 | 3,167 | 2,959 | +192 (+6.1%) |
| #8 | China | 1,737 | 1,491 | 651 | +246 (+16.5%) |
| #9 | Italy | 911 | 890 | 807 | +21 (+2.4%) |
| #10 | Mali | 761 | 678 | 579 | +83 (+12.2%) |
WTLG input
WTLG Destination Attractiveness
68.1
Country median RAS used by RMOS, based on 1 covered WTLG cities.
WTMG provides market intelligence; WTLG provides destination intelligence.WTLG input
Visa Accessibility
65.0
Normalized RMOS component. Underlying median WTLG visa score: 65.0, based on 1 contributing cities.
Zambia against the global RMOS universe
A descriptive comparison with the median of currently scored countries.
| Measure | Zambia | Global median | Difference |
|---|---|---|---|
| RMOS | 51.6 | 55.8 | -4.1 |
| Migration Momentum | 87.0 | 60.1 | +26.8 |
| Migrant Market Size | 45.0 | 50.3 | -5.3 |
| Migrant Share | 20.6 | 50.0 | -29.4 |
| GDP per Capita | 10.1 | 51.1 | -41.0 |
| GDP Growth | 62.1 | 50.6 | +11.6 |
| Destination Attractiveness | 68.1 | 67.0 | +1.1 |
| Visa Accessibility | 65.0 | 60.0 | +5.0 |
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.