WTMG Intelligence
Eswatini Relocation Market Intelligence
A data-driven view of Eswatini's structural relocation market using migration, economic, destination-attractiveness and corridor indicators.
RMOS Score34.0925
Global RMOS Rank#154 of 171
Migration Momentum35.9
International Migrant Stock33,268
Migrant Share2.7%
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
Eswatini's RMOS position
Authoritative RMOS34.0925
Global rank#154
Countries scored171
Top positionTop 90.1%
Migrant-stock rank#145 of 172
Migration-momentum rank#137 of 172
RMOS component breakdown
Weighted contributions reconcile to the stored authoritative RMOS score.
| Component | Normalized score | Weight | Weighted contribution |
|---|---|---|---|
| Migration Momentum | 35.9 | 25% | 8.9868 |
| Migrant Market Size | 15.8 | 20% | 3.1579 |
| Migrant Share | 34.7 | 15% | 5.2059 |
| GDP per Capita | 26.4 | 15% | 3.9607 |
| GDP Growth | 44.1 | 10% | 4.4068 |
| Destination Attractiveness | 58.7 | 10% | 5.8745 |
| Visa Accessibility | 50.0 | 5% | 2.5000 |
| Stored final RMOS | 34.0925 | ||
Eswatini migration-market scale
Source years are shown separately because the underlying datasets update on different cycles.
MMS-1.0
Eswatini Migration Momentum
These are changes in international migrant stock, not annual migration flows.
2024 migrant stock33,268
2020 migrant stock32,858
2015 migrant stock32,352
2020-2024 change+410 (+1.2%)
2015-2024 change+916 (+2.8%)
Largest migrant-stock origins into Eswatini
2024 international migrant stock, not annual relocation flow.
| Rank | Origin | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | South Africa | 12,870 | 12,712 | 12,511 | +158 (+1.2%) |
| #2 | Mozambique | 10,136 | 10,011 | 9,857 | +125 (+1.2%) |
| #3 | Rwanda | 392 | 387 | 342 | +5 (+1.3%) |
| #4 | USA | 262 | 259 | 256 | +3 (+1.2%) |
| #5 | Lesotho | 226 | 223 | 221 | +3 (+1.3%) |
| #6 | Angola | 135 | 133 | 131 | +2 (+1.5%) |
| #7 | Australia | 55 | 54 | 55 | +1 (+1.9%) |
| #8 | Uganda | 55 | 54 | 55 | +1 (+1.9%) |
| #9 | Liberia | 45 | 44 | 46 | +1 (+2.3%) |
| #10 | Botswana | 39 | 39 | 41 | 0 (0.0%) |
Largest destinations for migrants from Eswatini
2024 international migrant stock, not annual relocation flow.
| Rank | Destination | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | South Africa | 9,302 | 16,929 | 26,393 | -7,627 (-45.1%) |
| #2 | Portugal | 742 | 660 | 578 | +82 (+12.4%) |
| #3 | Botswana | 642 | 608 | 570 | +34 (+5.6%) |
| #4 | Australia | 359 | 370 | 385 | -11 (-3.0%) |
| #5 | Namibia | 216 | 204 | 191 | +12 (+5.9%) |
| #6 | Lesotho | 84 | 67 | 51 | +17 (+25.4%) |
| #7 | Denmark | 59 | 51 | 54 | +8 (+15.7%) |
| #8 | Norway | 21 | 19 | 15 | +2 (+10.5%) |
| #9 | Greece | 20 | 19 | 20 | +1 (+5.3%) |
| #10 | Bahamas | 12 | 11 | 12 | +1 (+9.1%) |
WTLG input
WTLG Destination Attractiveness
58.7
Country median RAS used by RMOS, based on 1 covered WTLG cities.
WTMG provides market intelligence; WTLG provides destination intelligence.WTLG input
Visa Accessibility
50.0
Normalized RMOS component. Underlying median WTLG visa score: 50.0, based on 1 contributing cities.
Eswatini against the global RMOS universe
A descriptive comparison with the median of currently scored countries.
| Measure | Eswatini | Global median | Difference |
|---|---|---|---|
| RMOS | 34.1 | 55.8 | -21.7 |
| Migration Momentum | 35.9 | 60.1 | -24.2 |
| Migrant Market Size | 15.8 | 50.3 | -34.5 |
| Migrant Share | 34.7 | 50.0 | -15.3 |
| GDP per Capita | 26.4 | 51.1 | -24.7 |
| GDP Growth | 44.1 | 50.6 | -6.5 |
| Destination Attractiveness | 58.7 | 67.0 | -8.3 |
| Visa Accessibility | 50.0 | 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.