WELLS FARGO BANK NA (2025)
Official HMDA public records summary of residential mortgage lending for WELLS FARGO BANK NA. Review underwriting credit decisions, consumer product distribution, and national lending volume.
Lender Profile
#20 of 2,712
34,218
Loans Originated
• 0.84% National Market Share
• $22.59 Billion Originated Volume
• $365,000 Median Loan
Actionable Applications
42,712
Decisioned (Actions 1–3)
Approval Rate
80.42%
80.42% of actionable
Denial Rate
19.58%
19.58% of actionable
Loan Originations
34,218
80.11% funded rate
Originated Volume
$22.59 Billion
Median: $365,000
Application Outcomes (2025)
Outcomes for 42,712 actionable applications (Actions 1, 2, and 3).
Action 1: Originated
34,218
(80.11%)
Action 2: Approved not accepted
130
(0.30%)
Action 3: Denied
8,364
(19.58%)
Action 4: Withdrawn (not in denominator)
15,653
—
Action 5: Incomplete (not in denominator)
2,482
—
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 WELLS FARGO BANK NA Compares
Institution vs. National Baseline (2025)
| Metric | WELLS FARGO BANK NA | U.S. National |
|---|---|---|
| Actionable Apps | 42,712 | 5,197,320 |
| Approval Rate | 80.42% | 82.12% |
| Denial Rate | 19.58% | 17.88% |
| Originations | 34,218 | 4,052,301 |
| Originated Volume | $22.59 Billion | $1.58 Trillion |
| Median Loan | $365,000 | $325,000 |
Loan Product Mix (2025)
Distribution across Conventional, FHA, VA, and USDA loan types
| Loan Product | Apps | Originations | Approval % |
|---|---|---|---|
| Conventional | 39,636 | 32,310 | 81.83% |
| FHA | 2,193 | 1,174 | 53.72% |
| VA | 883 | 734 | 83.47% |
Regulatory & Corporate Profile
Official entity details from CFPB Transmittal Sheet
Legal Entity Identifier (ISO 17442 LEI)
KB1H1DSPRFMYMCUFXT09
Reported Corporate Headquarters
MINNEAPOLIS, MN
National Origination Rank
Rank #20 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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