WTMG Intelligence
Uganda Relocation Market Intelligence
A data-driven view of Uganda's structural relocation market using migration, economic, destination-attractiveness and corridor indicators.
RMOS Score62.2039
Global RMOS Rank#64 of 171
Migration Momentum82.5
International Migrant Stock2,057,759
Migrant Share4.1%
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
Uganda's RMOS position
Authoritative RMOS62.2039
Global rank#64
Countries scored171
Top positionTop 37.4%
Migrant-stock rank#34 of 172
Migration-momentum rank#39 of 172
RMOS component breakdown
Weighted contributions reconcile to the stored authoritative RMOS score.
| Component | Normalized score | Weight | Weighted contribution |
|---|---|---|---|
| Migration Momentum | 82.5 | 25% | 20.6140 |
| Migrant Market Size | 80.7 | 20% | 16.1404 |
| Migrant Share | 43.5 | 15% | 6.5294 |
| GDP per Capita | 7.3 | 15% | 1.0955 |
| GDP Growth | 88.7 | 10% | 8.8701 |
| Destination Attractiveness | 59.5 | 10% | 5.9546 |
| Visa Accessibility | 60.0 | 5% | 3.0000 |
| Stored final RMOS | 62.2039 | ||
Uganda migration-market scale
Source years are shown separately because the underlying datasets update on different cycles.
MMS-1.0
Uganda Migration Momentum
These are changes in international migrant stock, not annual migration flows.
2024 migrant stock2,057,759
2020 migrant stock1,776,038
2015 migrant stock823,181
2020-2024 change+281,721 (+15.9%)
2015-2024 change+1,234,578 (+150.0%)
Largest migrant-stock origins into Uganda
2024 international migrant stock, not annual relocation flow.
| Rank | Origin | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | South Sudan | 923,658 | 875,322 | 179,082 | +48,336 (+5.5%) |
| #2 | Rwanda | 79,149 | 76,677 | 80,434 | +2,472 (+3.2%) |
| #3 | Kenya | 23,416 | 23,675 | 23,998 | -259 (-1.1%) |
| #4 | Ethiopia | 10,059 | 3,098 | 2,364 | +6,961 (+224.7%) |
| #5 | USA | 1,422 | 1,312 | 1,174 | +110 (+8.4%) |
| #6 | Canada | 241 | 246 | 253 | -5 (-2.0%) |
| #7 | Australia | 210 | 197 | 180 | +13 (+6.6%) |
Largest destinations for migrants from Uganda
2024 international migrant stock, not annual relocation flow.
| Rank | Destination | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | Kenya | 274,655 | 290,597 | 333,789 | -15,942 (-5.5%) |
| #2 | South Sudan | 156,437 | 151,003 | 145,607 | +5,434 (+3.6%) |
| #3 | Rwanda | 91,955 | 92,061 | 92,195 | -106 (-0.1%) |
| #4 | Canada | 15,355 | 14,870 | 13,438 | +485 (+3.3%) |
| #5 | South Africa | 7,678 | 10,155 | 8,609 | -2,477 (-24.4%) |
| #6 | Australia | 5,079 | 4,582 | 3,800 | +497 (+10.8%) |
| #7 | Denmark | 2,226 | 1,711 | 1,537 | +515 (+30.1%) |
| #8 | Norway | 1,764 | 1,586 | 1,126 | +178 (+11.2%) |
| #9 | Italy | 1,205 | 1,132 | 1,083 | +73 (+6.4%) |
| #10 | China | 917 | 833 | 520 | +84 (+10.1%) |
WTLG input
WTLG Destination Attractiveness
59.5
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.
Uganda against the global RMOS universe
A descriptive comparison with the median of currently scored countries.
| Measure | Uganda | Global median | Difference |
|---|---|---|---|
| RMOS | 62.2 | 55.8 | +6.4 |
| Migration Momentum | 82.5 | 60.1 | +22.3 |
| Migrant Market Size | 80.7 | 50.3 | +30.4 |
| Migrant Share | 43.5 | 50.0 | -6.5 |
| GDP per Capita | 7.3 | 51.1 | -43.8 |
| GDP Growth | 88.7 | 50.6 | +38.1 |
| Destination Attractiveness | 59.5 | 67.0 | -7.5 |
| 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.