WTMG Intelligence
Philippines Relocation Market Intelligence
A data-driven view of Philippines's structural relocation market using migration, economic, destination-attractiveness and corridor indicators.
This profile describes structural relocation-market conditions. It does not represent WTMG customer demand, leads, transactions or revenue.
RMOS-GLOBAL-1.0
Philippines's RMOS position
RMOS component breakdown
Weighted contributions reconcile to the stored authoritative RMOS score.
| Component | Normalized score | Weight | Weighted contribution |
|---|---|---|---|
| Migration Momentum | 34.2 | 25% | 8.5456 |
| Migrant Market Size | 28.7 | 20% | 5.7310 |
| Migrant Share | 0.6 | 15% | 0.0882 |
| GDP per Capita | 27.5 | 15% | 4.1292 |
| GDP Growth | 85.9 | 10% | 8.5876 |
| Destination Attractiveness | 66.1 | 10% | 6.6068 |
| Visa Accessibility | 55.0 | 5% | 2.7500 |
| Stored final RMOS | 36.4384 | ||
Philippines migration-market scale
Source years are shown separately because the underlying datasets update on different cycles.
MMS-1.0
Philippines Migration Momentum
These are changes in international migrant stock, not annual migration flows.
Largest migrant-stock origins into Philippines
2024 international migrant stock, not annual relocation flow.
| Rank | Origin | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | China | 27,676 | 27,676 | 29,091 | 0 (0.0%) |
| #2 | India | 19,801 | 19,801 | 14,659 | 0 (0.0%) |
| #3 | USA | 6,469 | 6,469 | 17,899 | 0 (0.0%) |
| #4 | South Korea | 4,520 | 4,520 | 5,223 | 0 (0.0%) |
| #5 | Japan | 4,492 | 4,492 | 7,972 | 0 (0.0%) |
| #6 | Germany | 1,551 | 1,551 | 2,354 | 0 (0.0%) |
| #7 | Australia | 1,489 | 1,489 | 2,407 | 0 (0.0%) |
| #8 | Vietnam | 1,391 | 1,391 | 962 | 0 (0.0%) |
Explore Global Migration Corridors with Philippines selected
Largest destinations for migrants from Philippines
2024 international migrant stock, not annual relocation flow.
| Rank | Destination | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | USA | 2,263,697 | 2,159,185 | 2,098,753 | +104,512 (+4.8%) |
| #2 | Canada | 835,779 | 702,144 | 603,495 | +133,635 (+19.0%) |
| #3 | Saudi Arabia | 755,432 | 730,715 | 738,497 | +24,717 (+3.4%) |
| #4 | UAE | 528,527 | 465,483 | 444,426 | +63,044 (+13.5%) |
| #5 | Australia | 356,833 | 305,063 | 241,235 | +51,770 (+17.0%) |
| #6 | Japan | 319,772 | 306,758 | 243,934 | +13,014 (+4.2%) |
| #7 | Malaysia | 255,520 | 249,159 | 241,224 | +6,361 (+2.6%) |
| #8 | Kuwait | 210,397 | 191,881 | 165,295 | +18,516 (+9.6%) |
| #9 | Italy | 147,183 | 145,508 | 131,756 | +1,675 (+1.2%) |
| #10 | New Zealand | 107,622 | 82,331 | 51,952 | +25,291 (+30.7%) |
Explore Global Migration Corridors with Philippines selected
WTLG input
WTLG Destination Attractiveness
66.1
Country median RAS used by RMOS, based on 5 covered WTLG cities.
Explore Philippines Destination Intelligence on WhereToLiveGuideWTMG provides market intelligence; WTLG provides destination intelligence.WTLG input
Visa Accessibility
55.0
Normalized RMOS component. Underlying median WTLG visa score: 55.0, based on 5 contributing cities.
Philippines against the global RMOS universe
A descriptive comparison with the median of currently scored countries.
| Measure | Philippines | Global median | Difference |
|---|---|---|---|
| RMOS | 36.4 | 55.8 | -19.3 |
| Migration Momentum | 34.2 | 60.1 | -26.0 |
| Migrant Market Size | 28.7 | 50.3 | -21.6 |
| Migrant Share | 0.6 | 50.0 | -49.4 |
| GDP per Capita | 27.5 | 51.1 | -23.6 |
| GDP Growth | 85.9 | 50.6 | +35.3 |
| Destination Attractiveness | 66.1 | 67.0 | -0.9 |
| Visa Accessibility | 55.0 | 60.0 | -5.0 |
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.