Non-QM Investor Lending by Metro

Mortgage Markets
U.S. map showing the investment-property share of 2025 conventional Non-QM purchase loans across 50 large metros, ranging from 4% to 54%.
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Data Points
Scope | 2025 HMDA; conventional; 1–4 unit; first lien; closed-end; Non-QM purchase originations Market selection | 50 largest metros by Non-QM purchase volume Metric | Share of Non-QM purchase loans for investment properties National average | 29% Observed range | 4%–54% Share band | Under 20% Share band | 20%–25% Share band | 25%–30% Share band | 30%–40% Share band | 40% and over Bubble size | Loan count Bubble reference | 1,000 loans Bubble reference | 5,000 loans Bubble reference | 10,000 loans
Where is Non-QM investor lending most concentrated?
It ranges from 4% to 54% across the 50 largest U.S. metros.
Date Published:
July 24, 2026
Date Updated:
July 24, 2026
Chart type:
Map
Suggested Citation:
Polygon Research, “Investment-Property Share of Non-QM Purchase Loans by Metro, 2025,” Polygon Vision - HMDAVision, published July 2026. Data through 2025. Scope: 50 largest U.S. metros by Non-QM purchase volume; conventional, 1–4 unit, first-lien, closed-end, Non-QM purchase originations. Metric: investment-property share of loans; bubble size represents loan count. Accessed July 24, 2026.
Key insights

Investor-property concentration varies materially by metro: this map shows the investment-property share of conventional, first-lien, closed-end, 1–4 unit Non-QM purchase originations in 2025 across the 50 largest metros by Non-QM purchase volume; bubble size represents loan count. The share spans 4% to 54%, compared with a 29% national average, showing that investor lending is a local market characteristic rather than a uniform feature of Non-QM production. Several Florida, Texas and Southeast metros sit above the national benchmark, while many Pacific Coast, Northwest and selected Mountain and Upper Midwest markets fall below 25%.

For lenders, the implication is portfolio design: product menus, broker and correspondent coverage, pricing, and capital-markets execution should be calibrated to the investor mix in each footprint.

A high share may support deeper investor-focused programs, but it should be evaluated alongside absolute loan count, competition and credit policy. A low share does not mean weak Non-QM opportunity; it may indicate a more consumer-oriented purchase market.

Comparisons should account for the chart’s two measures—share by color and volume by bubble size—and its focus on only the 50 largest metros in this segment. The data describe geographic mix, not causation, profitability or credit performance.

From Analysis to Action

This analysis provides a clear blueprint for how to uncover meaningful market dynamics. Its true power is unleashed when you apply this same methodology to your own local markets. Because all real estate is local, this granular approach is essential for crafting precise strategies that effectively address the unique conditions of each community.

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