Navy Federal Credit Union (2025)
Official HMDA public records summary of residential mortgage lending for Navy Federal Credit Union. Review underwriting credit decisions, consumer product distribution, and national lending volume.
Lender Profile
#19 of 2,712
35,341
Loans Originated
• 0.87% National Market Share
• $13.44 Billion Originated Volume
• $335,000 Median Loan
Actionable Applications
43,597
Decisioned (Actions 1–3)
Approval Rate
82.08%
82.08% of actionable
Denial Rate
17.92%
17.92% of actionable
Loan Originations
35,341
81.06% funded rate
Originated Volume
$13.44 Billion
Median: $335,000
Application Outcomes (2025)
Outcomes for 43,597 actionable applications (Actions 1, 2, and 3).
Action 1: Originated
35,341
(81.06%)
Action 2: Approved not accepted
442
(1.01%)
Action 3: Denied
7,814
(17.92%)
Action 4: Withdrawn (not in denominator)
22,033
—
Action 5: Incomplete (not in denominator)
4,968
—
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 Navy Federal Credit Union Compares
Institution vs. National Baseline (2025)
| Metric | Navy Federal Credit Union | U.S. National |
|---|---|---|
| Actionable Apps | 43,597 | 5,197,320 |
| Approval Rate | 82.08% | 82.12% |
| Denial Rate | 17.92% | 17.88% |
| Originations | 35,341 | 4,052,301 |
| Originated Volume | $13.44 Billion | $1.58 Trillion |
| Median Loan | $335,000 | $325,000 |
Loan Product Mix (2025)
Distribution across Conventional, FHA, VA, and USDA loan types
| Loan Product | Apps | Originations | Approval % |
|---|---|---|---|
| VA | 22,561 | 19,062 | 85.50% |
| Conventional | 21,036 | 16,279 | 78.41% |
Regulatory & Corporate Profile
Official entity details from CFPB Transmittal Sheet
Legal Entity Identifier (ISO 17442 LEI)
5493003GQDUH26DNNH17
Reported Corporate Headquarters
Vienna, VA
National Origination Rank
Rank #19 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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