WTMG Intelligence
Paraguay Relocation Market Intelligence
A data-driven view of Paraguay's structural relocation market using migration, economic, destination-attractiveness and corridor indicators.
RMOS Score53.6696
Global RMOS Rank#91 of 171
Migration Momentum63.1
International Migrant Stock180,837
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
Paraguay's RMOS position
Authoritative RMOS53.6696
Global rank#91
Countries scored171
Top positionTop 53.2%
Migrant-stock rank#109 of 172
Migration-momentum rank#79 of 172
RMOS component breakdown
Weighted contributions reconcile to the stored authoritative RMOS score.
| Component | Normalized score | Weight | Weighted contribution |
|---|---|---|---|
| Migration Momentum | 63.1 | 25% | 15.7834 |
| Migrant Market Size | 36.8 | 20% | 7.3684 |
| Migrant Share | 33.5 | 15% | 5.0294 |
| GDP per Capita | 41.6 | 15% | 6.2360 |
| GDP Growth | 74.0 | 10% | 7.4011 |
| Destination Attractiveness | 78.5 | 10% | 7.8513 |
| Visa Accessibility | 80.0 | 5% | 4.0000 |
| Stored final RMOS | 53.6696 | ||
Paraguay migration-market scale
Source years are shown separately because the underlying datasets update on different cycles.
MMS-1.0
Paraguay Migration Momentum
These are changes in international migrant stock, not annual migration flows.
2024 migrant stock180,837
2020 migrant stock169,567
2015 migrant stock156,462
2020-2024 change+11,270 (+6.6%)
2015-2024 change+24,375 (+15.6%)
Largest migrant-stock origins into Paraguay
2024 international migrant stock, not annual relocation flow.
| Rank | Origin | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | Brazil | 85,207 | 79,897 | 73,715 | +5,310 (+6.6%) |
| #2 | Argentina | 65,943 | 61,833 | 57,056 | +4,110 (+6.6%) |
| #3 | Uruguay | 3,379 | 3,168 | 2,925 | +211 (+6.7%) |
| #4 | South Korea | 2,942 | 2,759 | 2,547 | +183 (+6.6%) |
| #5 | Canada | 2,635 | 2,471 | 2,281 | +164 (+6.6%) |
| #6 | Chile | 2,435 | 2,283 | 2,109 | +152 (+6.7%) |
| #7 | Japan | 2,291 | 2,148 | 1,983 | +143 (+6.7%) |
| #8 | Germany | 1,916 | 1,797 | 1,659 | +119 (+6.6%) |
| #9 | Mexico | 1,854 | 1,738 | 1,605 | +116 (+6.7%) |
| #10 | USA | 1,819 | 1,706 | 1,576 | +113 (+6.6%) |
Largest destinations for migrants from Paraguay
2024 international migrant stock, not annual relocation flow.
| Rank | Destination | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | Argentina | 517,429 | 527,081 | 539,157 | -9,652 (-1.8%) |
| #2 | Spain | 144,878 | 104,006 | 66,296 | +40,872 (+39.3%) |
| #3 | Brazil | 53,941 | 49,748 | 44,380 | +4,193 (+8.4%) |
| #4 | Chile | 6,354 | 5,835 | 3,843 | +519 (+8.9%) |
| #5 | Canada | 6,174 | 6,363 | 8,065 | -189 (-3.0%) |
| #6 | Bolivia | 5,328 | 4,772 | 4,286 | +556 (+11.7%) |
| #7 | Italy | 3,107 | 2,799 | 2,476 | +308 (+11.0%) |
| #8 | Peru | 2,205 | 1,574 | 1,067 | +631 (+40.1%) |
| #9 | Japan | 2,201 | 2,180 | 1,882 | +21 (+1.0%) |
| #10 | Uruguay | 1,579 | 1,225 | 1,027 | +354 (+28.9%) |
WTLG input
WTLG Destination Attractiveness
78.5
Country median RAS used by RMOS, based on 1 covered WTLG cities.
WTMG provides market intelligence; WTLG provides destination intelligence.WTLG input
Visa Accessibility
80.0
Normalized RMOS component. Underlying median WTLG visa score: 80.0, based on 1 contributing cities.
Paraguay against the global RMOS universe
A descriptive comparison with the median of currently scored countries.
| Measure | Paraguay | Global median | Difference |
|---|---|---|---|
| RMOS | 53.7 | 55.8 | -2.1 |
| Migration Momentum | 63.1 | 60.1 | +3.0 |
| Migrant Market Size | 36.8 | 50.3 | -13.5 |
| Migrant Share | 33.5 | 50.0 | -16.5 |
| GDP per Capita | 41.6 | 51.1 | -9.6 |
| GDP Growth | 74.0 | 50.6 | +23.4 |
| Destination Attractiveness | 78.5 | 67.0 | +11.5 |
| Visa Accessibility | 80.0 | 60.0 | +20.0 |
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.