Myrtle Beach-Conway-North Myrtle Beach Mortgage Lending in 2025
Explore mortgage lending activity in Myrtle Beach-Conway-North Myrtle Beach (MSA/MD Code 34820) using official HMDA public records. Review underwriting outcomes, borrower characteristics, and regional lending benchmarks.
Credit Decision Outcomes (2025)
Outcomes for 11,933 actionable applications (Actions 1, 2, and 3).
How Myrtle Beach-Conway-North Myrtle Beach Compares
Metro vs. State Baseline (2025)
| Metric | Myrtle Beach-Conway-North Myrtle Beach | South Carolina |
|---|---|---|
| Actionable Apps | 11,933 | 128,189 |
| Approval Rate | 79.12% | 78.99% |
| Denial Rate | 20.88% | 21.01% |
| Originations | 8,979 | 95,845 |
| Originated Volume | $2.68 Billion | $31.82 Billion |
| Median Loan | $275,000 | $285,000 |
Lending Trends in Myrtle Beach-Conway-North Myrtle Beach
Year-over-year shifts: 2025 vs. 2024
| Metric | 2024 | 2025 | Change |
|---|---|---|---|
| Consumer Universe | 14,512 | 15,339 | +5.70% |
| Actionable Apps | 11,422 | 11,933 | +4.47% |
| Originations | 8,549 | 8,979 | +5.03% |
| Approval Rate | 78.27% | 79.12% | +0.85 pp |
| Denial Rate | 21.73% | 20.88% | -0.85 pp |
| Median Loan | $265,000 | $275,000 | +3.77% |
| Dollar Volume | $2.42 Billion | $2.68 Billion | +10.94% |
Applications by Borrower Income (Myrtle Beach-Conway-North Myrtle Beach)
Approval and denial rates across gross annual income tiers (2025)
| Income Bracket | Apps | Approval % | Denial % |
|---|---|---|---|
| $100k–$149,999 | 2,492 | 86.88% | 13.12% |
| $150k+ | 2,023 | 89.32% | 10.68% |
| $50k–$99,999 | 4,937 | 79.24% | 20.76% |
| <$50k | 1,723 | 52.52% | 47.48% |
| Income unavailable/entity | 758 | 86.02% | 13.98% |
Geographic Market Context
Regional integration within South Carolina (2025)
34820, anchored in South Carolina (SC).
Parent State Association
Explore South Carolina statewide mortgage activity
Myrtle Beach-Conway-North Myrtle Beach is part of OpenFileData’s statewide coverage of South Carolina. View statewide approval benchmarks, metropolitan rankings, and institution profiles across all reporting jurisdictions.
Methodology
Learn how HMDA credit outcomes, action codes, and consumer filters are computed.
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