Ixonia Bank (2025)
Official HMDA public records summary of residential mortgage lending for Ixonia Bank. Review underwriting credit decisions, consumer product distribution, and national lending volume.
Lender Profile
#84 of 2,712
7,347
Loans Originated
• 0.18% National Market Share
• $2.24 Billion Originated Volume
• $275,000 Median Loan
Actionable Applications
7,748
Decisioned (Actions 1–3)
Approval Rate
95.74%
95.74% of actionable
Denial Rate
4.26%
4.26% of actionable
Loan Originations
7,347
94.82% funded rate
Originated Volume
$2.24 Billion
Median: $275,000
Application Outcomes (2025)
Outcomes for 7,748 actionable applications (Actions 1, 2, and 3).
Action 1: Originated
7,347
(94.82%)
Action 2: Approved not accepted
71
(0.92%)
Action 3: Denied
330
(4.26%)
Action 4: Withdrawn (not in denominator)
2,117
—
Action 5: Incomplete (not in denominator)
152
—
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 Ixonia Bank Compares
Institution vs. National Baseline (2025)
| Metric | Ixonia Bank | U.S. National |
|---|---|---|
| Actionable Apps | 7,748 | 5,197,320 |
| Approval Rate | 95.74% | 82.12% |
| Denial Rate | 4.26% | 17.88% |
| Originations | 7,347 | 4,052,301 |
| Originated Volume | $2.24 Billion | $1.58 Trillion |
| Median Loan | $275,000 | $325,000 |
Loan Product Mix (2025)
Distribution across Conventional, FHA, VA, and USDA loan types
| Loan Product | Apps | Originations | Approval % |
|---|---|---|---|
| Conventional | 4,481 | 4,305 | 96.90% |
| FHA | 2,436 | 2,256 | 93.56% |
| VA | 608 | 578 | 96.71% |
| USDA/RHS/FSA | 223 | 208 | 93.72% |
Regulatory & Corporate Profile
Official entity details from CFPB Transmittal Sheet
Legal Entity Identifier (ISO 17442 LEI)
549300T9P3WXNMXX0I34
Reported Corporate Headquarters
Ixonia, WI
National Origination Rank
Rank #84 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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