WTMG Intelligence
Kenya Relocation Market Intelligence
A data-driven view of Kenya's structural relocation market using migration, economic, destination-attractiveness and corridor indicators.
RMOS Score44.0082
Global RMOS Rank#128 of 171
Migration Momentum28.9
International Migrant Stock992,536
Migrant Share1.8%
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
Kenya's RMOS position
Authoritative RMOS44.0082
Global rank#128
Countries scored171
Top positionTop 74.9%
Migrant-stock rank#57 of 172
Migration-momentum rank#154 of 172
RMOS component breakdown
Weighted contributions reconcile to the stored authoritative RMOS score.
| Component | Normalized score | Weight | Weighted contribution |
|---|---|---|---|
| Migration Momentum | 28.9 | 25% | 7.2335 |
| Migrant Market Size | 67.3 | 20% | 13.4503 |
| Migrant Share | 27.1 | 15% | 4.0588 |
| GDP per Capita | 18.0 | 15% | 2.6966 |
| GDP Growth | 73.4 | 10% | 7.3446 |
| Destination Attractiveness | 57.2 | 10% | 5.7243 |
| Visa Accessibility | 70.0 | 5% | 3.5000 |
| Stored final RMOS | 44.0082 | ||
Kenya migration-market scale
Source years are shown separately because the underlying datasets update on different cycles.
MMS-1.0
Kenya Migration Momentum
These are changes in international migrant stock, not annual migration flows.
2024 migrant stock992,536
2020 migrant stock1,050,147
2015 migrant stock1,126,886
2020-2024 change-57,611 (-5.5%)
2015-2024 change-134,350 (-11.9%)
Largest migrant-stock origins into Kenya
2024 international migrant stock, not annual relocation flow.
| Rank | Origin | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | Uganda | 274,655 | 290,597 | 333,789 | -15,942 (-5.5%) |
| #2 | South Sudan | 114,885 | 121,553 | 95,765 | -6,668 (-5.5%) |
| #3 | Ethiopia | 30,353 | 32,115 | 36,889 | -1,762 (-5.5%) |
| #4 | Rwanda | 5,208 | 5,510 | 6,330 | -302 (-5.5%) |
| #5 | Mozambique | 494 | 523 | 601 | -29 (-5.5%) |
| #6 | South Africa | 91 | 96 | 112 | -5 (-5.2%) |
| #7 | Namibia | 55 | 58 | 68 | -3 (-5.2%) |
Largest destinations for migrants from Kenya
2024 international migrant stock, not annual relocation flow.
| Rank | Destination | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | USA | 210,991 | 164,517 | 140,254 | +46,474 (+28.2%) |
| #2 | Australia | 30,123 | 24,960 | 19,736 | +5,163 (+20.7%) |
| #3 | Canada | 29,988 | 29,160 | 28,317 | +828 (+2.8%) |
| #4 | Mozambique | 25,824 | 24,779 | 23,584 | +1,045 (+4.2%) |
| #5 | Uganda | 23,416 | 23,675 | 23,998 | -259 (-1.1%) |
| #6 | South Sudan | 10,153 | 9,800 | 9,558 | +353 (+3.6%) |
| #7 | South Africa | 6,208 | 8,580 | 10,174 | -2,372 (-27.6%) |
| #8 | Ethiopia | 5,564 | 5,372 | 4,422 | +192 (+3.6%) |
| #9 | Italy | 4,755 | 4,407 | 3,555 | +348 (+7.9%) |
| #10 | Rwanda | 2,572 | 2,575 | 2,581 | -3 (-0.1%) |
WTLG input
WTLG Destination Attractiveness
57.2
Country median RAS used by RMOS, based on 1 covered WTLG cities.
WTMG provides market intelligence; WTLG provides destination intelligence.WTLG input
Visa Accessibility
70.0
Normalized RMOS component. Underlying median WTLG visa score: 70.0, based on 1 contributing cities.
Kenya against the global RMOS universe
A descriptive comparison with the median of currently scored countries.
| Measure | Kenya | Global median | Difference |
|---|---|---|---|
| RMOS | 44.0 | 55.8 | -11.8 |
| Migration Momentum | 28.9 | 60.1 | -31.2 |
| Migrant Market Size | 67.3 | 50.3 | +17.0 |
| Migrant Share | 27.1 | 50.0 | -22.9 |
| GDP per Capita | 18.0 | 51.1 | -33.1 |
| GDP Growth | 73.4 | 50.6 | +22.9 |
| Destination Attractiveness | 57.2 | 67.0 | -9.8 |
| Visa Accessibility | 70.0 | 60.0 | +10.0 |
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.