State Employees' Credit Union (2025)
Official HMDA public records summary of residential mortgage lending for State Employees' Credit Union. Review underwriting credit decisions, consumer product distribution, and national lending volume.
Lender Profile
#46 of 2,712
12,283
Loans Originated
• 0.30% National Market Share
• $3.63 Billion Originated Volume
• $265,000 Median Loan
Actionable Applications
16,346
Decisioned (Actions 1–3)
Approval Rate
76.50%
76.50% of actionable
Denial Rate
23.50%
23.50% of actionable
Loan Originations
12,283
75.14% funded rate
Originated Volume
$3.63 Billion
Median: $265,000
Application Outcomes (2025)
Outcomes for 16,346 actionable applications (Actions 1, 2, and 3).
Action 1: Originated
12,283
(75.14%)
Action 2: Approved not accepted
222
(1.36%)
Action 3: Denied
3,841
(23.50%)
Action 4: Withdrawn (not in denominator)
2,754
—
Action 5: Incomplete (not in denominator)
706
—
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 State Employees' Credit Union Compares
Institution vs. National Baseline (2025)
| Metric | State Employees' Credit Union | U.S. National |
|---|---|---|
| Actionable Apps | 16,346 | 5,197,320 |
| Approval Rate | 76.50% | 82.12% |
| Denial Rate | 23.50% | 17.88% |
| Originations | 12,283 | 4,052,301 |
| Originated Volume | $3.63 Billion | $1.58 Trillion |
| Median Loan | $265,000 | $325,000 |
Loan Product Mix (2025)
Distribution across Conventional, FHA, VA, and USDA loan types
| Loan Product | Apps | Originations | Approval % |
|---|---|---|---|
| Conventional | 16,346 | 12,283 | 76.50% |
Regulatory & Corporate Profile
Official entity details from CFPB Transmittal Sheet
Legal Entity Identifier (ISO 17442 LEI)
549300SHE1JTCOWBP090
Reported Corporate Headquarters
Raleigh, NC
National Origination Rank
Rank #46 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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