USAA FEDERAL SAVINGS BANK (2025)
Official HMDA public records summary of residential mortgage lending for USAA FEDERAL SAVINGS BANK. Review underwriting credit decisions, consumer product distribution, and national lending volume.
Lender Profile
#58 of 2,712
10,865
Loans Originated
• 0.27% National Market Share
• $3.90 Billion Originated Volume
• $325,000 Median Loan
Actionable Applications
17,145
Decisioned (Actions 1–3)
Approval Rate
64.26%
64.26% of actionable
Denial Rate
35.74%
35.74% of actionable
Loan Originations
10,865
63.37% funded rate
Originated Volume
$3.90 Billion
Median: $325,000
Application Outcomes (2025)
Outcomes for 17,145 actionable applications (Actions 1, 2, and 3).
Action 1: Originated
10,865
(63.37%)
Action 2: Approved not accepted
152
(0.89%)
Action 3: Denied
6,128
(35.74%)
Action 4: Withdrawn (not in denominator)
6,943
—
Action 5: Incomplete (not in denominator)
65
—
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 USAA FEDERAL SAVINGS BANK Compares
Institution vs. National Baseline (2025)
| Metric | USAA FEDERAL SAVINGS BANK | U.S. National |
|---|---|---|
| Actionable Apps | 17,145 | 5,197,320 |
| Approval Rate | 64.26% | 82.12% |
| Denial Rate | 35.74% | 17.88% |
| Originations | 10,865 | 4,052,301 |
| Originated Volume | $3.90 Billion | $1.58 Trillion |
| Median Loan | $325,000 | $325,000 |
Loan Product Mix (2025)
Distribution across Conventional, FHA, VA, and USDA loan types
| Loan Product | Apps | Originations | Approval % |
|---|---|---|---|
| VA | 11,432 | 7,600 | 67.34% |
| Conventional | 5,713 | 3,265 | 58.10% |
Regulatory & Corporate Profile
Official entity details from CFPB Transmittal Sheet
Legal Entity Identifier (ISO 17442 LEI)
C5654JQHZUHN0772B561
Reported Corporate Headquarters
SAN ANTONIO, TX
National Origination Rank
Rank #58 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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