OCMBC, INC. (2025)
Official HMDA public records summary of residential mortgage lending for OCMBC, INC.. Review underwriting credit decisions, consumer product distribution, and national lending volume.
Lender Profile
#65 of 2,712
9,976
Loans Originated
• 0.25% National Market Share
• $4.66 Billion Originated Volume
• $415,000 Median Loan
Actionable Applications
14,229
Decisioned (Actions 1–3)
Approval Rate
87.88%
87.88% of actionable
Denial Rate
12.12%
12.12% of actionable
Loan Originations
9,976
70.11% funded rate
Originated Volume
$4.66 Billion
Median: $415,000
Application Outcomes (2025)
Outcomes for 14,229 actionable applications (Actions 1, 2, and 3).
Action 1: Originated
9,976
(70.11%)
Action 2: Approved not accepted
2,529
(17.77%)
Action 3: Denied
1,724
(12.12%)
Action 4: Withdrawn (not in denominator)
3,364
—
Action 5: Incomplete (not in denominator)
2
—
How to read this: Approval rate uses Actions 1, 2, and 3. Actions 4 and 5 are excluded from the credit decision denominator. Read the full methodology →
How OCMBC, INC. Compares
Institution vs. National Baseline (2025)
| Metric | OCMBC, INC. | U.S. National |
|---|---|---|
| Actionable Apps | 14,229 | 5,197,320 |
| Approval Rate | 87.88% | 82.12% |
| Denial Rate | 12.12% | 17.88% |
| Originations | 9,976 | 4,052,301 |
| Originated Volume | $4.66 Billion | $1.58 Trillion |
| Median Loan | $415,000 | $325,000 |
Loan Product Mix (2025)
Distribution across Conventional, FHA, VA, and USDA loan types
| Loan Product | Apps | Originations | Approval % |
|---|---|---|---|
| Conventional | 9,336 | 6,494 | 87.11% |
| FHA | 4,433 | 3,156 | 89.65% |
| VA | 435 | 322 | 88.97% |
| USDA/RHS/FSA | 25 | 4 | 44.00% |
Regulatory & Corporate Profile
Official entity details from CFPB Transmittal Sheet
Legal Entity Identifier (ISO 17442 LEI)
549300J7I82PNDVU8H22
Reported Corporate Headquarters
IRVINE, CA
National Origination Rank
Rank #65 by Action 1 Originations
Data Collection Basis
Regulation C (12 CFR Part 1003) Annual LAR Submission
Methodology
Learn how HMDA credit outcomes, action codes, and consumer filters are computed.
Read Methodology →Top 100 Lenders
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