Ixonia Bank, a Wisconsin bank lending in 49 states, is a home-purchase lender with more government-backed loans than any similar lender, and it grew 18% in 2025.
A national purchase lender
Purchase loans were 86.6% of its 8,425 originations, spread over 892 counties. Growth of 18% in 2025 was higher than about four in five similar lenders (state non-member banks making between half and twice as many loans), whose typical growth was 2%.
Government loans set it apart
FHA loans (insured by the Federal Housing Administration) were 27.1% against 5.9% for peers, and RHS loans (guaranteed by the Department of Agriculture's Rural Housing Service) 2.5%, both the highest in its peer group. This mix may explain why higher-priced loans (a rate well above the average for similar loans) were 6.7% against 2.2%, though that share fell from 10.0%.
Reaching LMI buyers
Loans in LMI (low- and moderate-income) areas were 21.0%, the highest among similar lenders, and loans to LMI borrowers 33.7%, higher than nearly nine in ten. Both are up from five years ago. It turned down 4.0% of home-purchase applications against 7.0% for similar lenders, lower than about three in four, and 5.9% of refinance applications, the lowest in its peer group; that could reflect how applications reach it, or buyers screened before they apply.
Mixed results in its markets
In Milwaukee-Waukesha its share rose 1.2 points to 2.2%, ranking 11 of 510. In Youngstown-Warren, where it ranks 2 of 278, its share fell 1.2 points to 8.4%, which could reflect stronger competition or a shift toward other markets.
Questions the data can answer next
How do its prices compare with peers' for FHA and conventional purchase loans taken separately?
Similar lenders: same lender type, originations between half and twice the lender's in the data year.
Written from the 2025 HMDA data and checked figure by figure against it.
FIG. 1 — LOANS ORIGINATED, 2018–2025
8,425 loans in 2025, its most in any year since 2018.
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. Ixonia Bank took 11,998 applications in 2025.
86.6% of its 2025 loans were purchase loans; 63.5% were Conventional.
Purchase 86.6% · Refinance 11.9% · Other 1.3% · Home improvement 0.2% Conventional 63.5% · FHA 27.1% · VA 6.9% · USDA (RHS or FSA) 2.5% · of 8,425 loans. Purchase: buying a home. Refinance: replacing an existing mortgage, including cash-out. FHA: insured by the Federal Housing Administration. VA: guaranteed by the Department of Veterans Affairs. Conventional: neither.
SOURCE: FFIEC HMDA 2025, LOANS ORIGINATED
Where it lends, 2025
49 states, 285 metros, 892 counties
State
Loans
Share
Wisconsin
1,245
14.8%
Pennsylvania
1,110
13.2%
Ohio
1,044
12.4%
North Carolina
765
9.1%
Florida
693
8.2%
Illinois
563
6.7%
Indiana
394
4.7%
Tennessee
333
4.0%
Virginia
290
3.4%
Texas
224
2.7%
Largest metro areas, 2025
Loans originated
Metro area
Loans
Youngstown-Warren
689
Milwaukee-Waukesha
665
Charlotte-Concord-Gastonia
497
Chicago-Naperville-Schaumburg
395
Scranton--Wilkes-Barre
285
Nashville-Davidson--Murfreesboro--Franklin
250
Lake County-Porter County-Jasper County
221
Orlando-Kissimmee-Sanford
173
Allentown-Bethlehem-Easton
169
Cleveland
139
Identifiers
LEI (Legal Entity Identifier, the global company code HMDA has used since 2018)
549300T9P3WXNMXX0I34
2018–2025
RSSD (the Federal Reserve's identifier for banks and their parents)
529341
2004–2023
Respondent ID (the HMDA filer code before 2018)
312514
1995–2017
Established 1 January 1918. Reported under HMDA 1995-2025.
Mergers, name changes, data editions and corrections: Ixonia Bank's data.
The data and the software behind these pages
Ixonia Bank's data
$215
Ixonia Bank and its peers, 2018–2025: every application in the HMDA data, cleaned and corrected, as Parquet files, with the Jenner programs that made these pages.
Every mortgage application reported under HMDA from 1990 to 2025, cleaned and corrected, every lender followed across name changes and mergers, with the market-share and fair-lending tables behind these pages and the Jenner programs that built them: the warehouse and the datamart, as Parquet files.
Jenner runs programs written in the SAS language. It drew every chart on these pages and fitted the fair-lending model, PROC GLIMMIX on 3.5 million applications. Run the programs that come with the data, or your own.