WTMG Intelligence
South Sudan Relocation Market Intelligence
A data-driven view of South Sudan's structural relocation market using migration, economic, destination-attractiveness and corridor indicators.
RMOS Score43.0861
Global RMOS Rank#131 of 171
Migration Momentum52.9
International Migrant Stock914,001
Migrant Share7.7%
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
South Sudan's RMOS position
Authoritative RMOS43.0861
Global rank#131
Countries scored171
Top positionTop 76.6%
Migrant-stock rank#58 of 172
Migration-momentum rank#103 of 172
RMOS component breakdown
Weighted contributions reconcile to the stored authoritative RMOS score.
| Component | Normalized score | Weight | Weighted contribution |
|---|---|---|---|
| Migration Momentum | 52.9 | 25% | 13.2269 |
| Migrant Market Size | 66.7 | 20% | 13.3333 |
| Migrant Share | 57.6 | 15% | 8.6471 |
| GDP per Capita | 7.9 | 15% | 1.1798 |
| GDP Growth | 0.0 | 10% | 0.0000 |
| Destination Attractiveness | 49.5 | 10% | 4.9491 |
| Visa Accessibility | 35.0 | 5% | 1.7500 |
| Stored final RMOS | 43.0861 | ||
South Sudan migration-market scale
Source years are shown separately because the underlying datasets update on different cycles.
MMS-1.0
South Sudan Migration Momentum
These are changes in international migrant stock, not annual migration flows.
2024 migrant stock914,001
2020 migrant stock882,252
2015 migrant stock844,112
2020-2024 change+31,749 (+3.6%)
2015-2024 change+69,889 (+8.3%)
Largest migrant-stock origins into South Sudan
2024 international migrant stock, not annual relocation flow.
| Rank | Origin | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | Uganda | 156,437 | 151,003 | 145,607 | +5,434 (+3.6%) |
| #2 | Ethiopia | 13,582 | 13,110 | 12,786 | +472 (+3.6%) |
| #3 | Kenya | 10,153 | 9,800 | 9,558 | +353 (+3.6%) |
| #4 | Chad | 5,506 | 5,315 | 5,184 | +191 (+3.6%) |
| #5 | Egypt | 5,465 | 5,275 | 5,145 | +190 (+3.6%) |
| #6 | Nigeria | 3,756 | 3,626 | 3,537 | +130 (+3.6%) |
| #7 | India | 1,501 | 1,449 | 1,414 | +52 (+3.6%) |
| #8 | Mali | 215 | 208 | 203 | +7 (+3.4%) |
| #9 | Libya | 162 | 156 | 153 | +6 (+3.8%) |
Explore Global Migration Corridors with South Sudan selected
Largest destinations for migrants from South Sudan
2024 international migrant stock, not annual relocation flow.
| Rank | Destination | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | Uganda | 923,658 | 875,322 | 179,082 | +48,336 (+5.5%) |
| #2 | Ethiopia | 443,743 | 365,470 | 281,162 | +78,273 (+21.4%) |
| #3 | Kenya | 114,885 | 121,553 | 95,765 | -6,668 (-5.5%) |
| #4 | Egypt | 37,915 | 19,410 | 3,578 | +18,505 (+95.3%) |
| #5 | UAE | 14,900 | 13,123 | 12,531 | +1,777 (+13.5%) |
| #6 | Australia | 9,693 | 9,004 | 7,511 | +689 (+7.7%) |
| #7 | Libya | 2,004 | 1,896 | 1,770 | +108 (+5.7%) |
| #8 | Kuwait | 1,999 | 1,823 | 1,572 | +176 (+9.7%) |
| #9 | Bahrain | 1,500 | 1,403 | 1,288 | +97 (+6.9%) |
| #10 | Yemen | 559 | 551 | 541 | +8 (+1.5%) |
Explore Global Migration Corridors with South Sudan selected
WTLG input
WTLG Destination Attractiveness
49.5
Country median RAS used by RMOS, based on 1 covered WTLG cities.
WTMG provides market intelligence; WTLG provides destination intelligence.WTLG input
Visa Accessibility
35.0
Normalized RMOS component. Underlying median WTLG visa score: 35.0, based on 1 contributing cities.
South Sudan against the global RMOS universe
A descriptive comparison with the median of currently scored countries.
| Measure | South Sudan | Global median | Difference |
|---|---|---|---|
| RMOS | 43.1 | 55.8 | -12.7 |
| Migration Momentum | 52.9 | 60.1 | -7.2 |
| Migrant Market Size | 66.7 | 50.3 | +16.4 |
| Migrant Share | 57.6 | 50.0 | +7.6 |
| GDP per Capita | 7.9 | 51.1 | -43.3 |
| GDP Growth | 0.0 | 50.6 | -50.6 |
| Destination Attractiveness | 49.5 | 67.0 | -17.5 |
| Visa Accessibility | 35.0 | 60.0 | -25.0 |
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.