Provident Funding Associates (2025)
Official HMDA public records summary of residential mortgage lending for Provident Funding Associates. Review underwriting credit decisions, consumer product distribution, and national lending volume.
Lender Profile
#48 of 2,712
11,734
Loans Originated
• 0.29% National Market Share
• $5.28 Billion Originated Volume
• $435,000 Median Loan
Actionable Applications
13,142
Decisioned (Actions 1–3)
Approval Rate
91.17%
91.17% of actionable
Denial Rate
8.83%
8.83% of actionable
Loan Originations
11,734
89.29% funded rate
Originated Volume
$5.28 Billion
Median: $435,000
Application Outcomes (2025)
Outcomes for 13,142 actionable applications (Actions 1, 2, and 3).
Action 1: Originated
11,734
(89.29%)
Action 2: Approved not accepted
248
(1.89%)
Action 3: Denied
1,160
(8.83%)
Action 4: Withdrawn (not in denominator)
3,568
—
Action 5: Incomplete (not in denominator)
1,093
—
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 Provident Funding Associates Compares
Institution vs. National Baseline (2025)
| Metric | Provident Funding Associates | U.S. National |
|---|---|---|
| Actionable Apps | 13,142 | 5,197,320 |
| Approval Rate | 91.17% | 82.12% |
| Denial Rate | 8.83% | 17.88% |
| Originations | 11,734 | 4,052,301 |
| Originated Volume | $5.28 Billion | $1.58 Trillion |
| Median Loan | $435,000 | $325,000 |
Loan Product Mix (2025)
Distribution across Conventional, FHA, VA, and USDA loan types
| Loan Product | Apps | Originations | Approval % |
|---|---|---|---|
| Conventional | 13,142 | 11,734 | 91.17% |
Regulatory & Corporate Profile
Official entity details from CFPB Transmittal Sheet
Legal Entity Identifier (ISO 17442 LEI)
54930043BMDE130FJ617
Reported Corporate Headquarters
Santa Rosa, CA
National Origination Rank
Rank #48 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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