WTMG Intelligence
Zimbabwe Relocation Market Intelligence
A data-driven view of Zimbabwe's structural relocation market using migration, economic, destination-attractiveness and corridor indicators.
RMOS Score41.9871
Global RMOS Rank#136 of 171
Migration Momentum50.7
International Migrant Stock429,108
Migrant Share2.6%
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
Zimbabwe's RMOS position
Authoritative RMOS41.9871
Global rank#136
Countries scored171
Top positionTop 79.5%
Migrant-stock rank#80 of 172
Migration-momentum rank#109 of 172
RMOS component breakdown
Weighted contributions reconcile to the stored authoritative RMOS score.
| Component | Normalized score | Weight | Weighted contribution |
|---|---|---|---|
| Migration Momentum | 50.7 | 25% | 12.6655 |
| Migrant Market Size | 53.8 | 20% | 10.7602 |
| Migrant Share | 32.4 | 15% | 4.8529 |
| GDP per Capita | 19.7 | 15% | 2.9494 |
| GDP Growth | 25.4 | 10% | 2.5424 |
| Destination Attractiveness | 52.2 | 10% | 5.2166 |
| Visa Accessibility | 60.0 | 5% | 3.0000 |
| Stored final RMOS | 41.9871 | ||
Zimbabwe migration-market scale
Source years are shown separately because the underlying datasets update on different cycles.
MMS-1.0
Zimbabwe Migration Momentum
These are changes in international migrant stock, not annual migration flows.
2024 migrant stock429,108
2020 migrant stock416,141
2015 migrant stock400,482
2020-2024 change+12,967 (+3.1%)
2015-2024 change+28,626 (+7.1%)
Largest migrant-stock origins into Zimbabwe
2024 international migrant stock, not annual relocation flow.
| Rank | Origin | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | Mozambique | 126,753 | 122,923 | 118,442 | +3,830 (+3.1%) |
| #2 | Malawi | 111,872 | 108,491 | 104,247 | +3,381 (+3.1%) |
| #3 | Zambia | 32,680 | 31,692 | 30,538 | +988 (+3.1%) |
| #4 | South Africa | 20,346 | 19,731 | 19,013 | +615 (+3.1%) |
| #5 | Botswana | 3,985 | 3,865 | 3,725 | +120 (+3.1%) |
Largest destinations for migrants from Zimbabwe
2024 international migrant stock, not annual relocation flow.
| Rank | Destination | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | South Africa | 1,072,620 | 966,487 | 833,530 | +106,133 (+11.0%) |
| #2 | Mozambique | 101,486 | 97,379 | 92,671 | +4,107 (+4.2%) |
| #3 | Botswana | 67,878 | 64,301 | 60,080 | +3,577 (+5.6%) |
| #4 | Australia | 47,195 | 44,036 | 40,243 | +3,159 (+7.2%) |
| #5 | Malawi | 26,561 | 27,221 | 32,030 | -660 (-2.4%) |
| #6 | Zambia | 22,297 | 16,816 | 13,175 | +5,481 (+32.6%) |
| #7 | Namibia | 16,053 | 15,135 | 14,141 | +918 (+6.1%) |
| #8 | Canada | 14,291 | 11,982 | 11,429 | +2,309 (+19.3%) |
| #9 | New Zealand | 9,140 | 8,852 | 8,383 | +288 (+3.3%) |
| #10 | China | 2,913 | 2,471 | 637 | +442 (+17.9%) |
WTLG input
WTLG Destination Attractiveness
52.2
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.
Zimbabwe against the global RMOS universe
A descriptive comparison with the median of currently scored countries.
| Measure | Zimbabwe | Global median | Difference |
|---|---|---|---|
| RMOS | 42.0 | 55.8 | -13.8 |
| Migration Momentum | 50.7 | 60.1 | -9.5 |
| Migrant Market Size | 53.8 | 50.3 | +3.5 |
| Migrant Share | 32.4 | 50.0 | -17.6 |
| GDP per Capita | 19.7 | 51.1 | -31.5 |
| GDP Growth | 25.4 | 50.6 | -25.1 |
| Destination Attractiveness | 52.2 | 67.0 | -14.8 |
| 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.