Banner Bank is a Washington-based regional bank whose 2025 lending split almost evenly between home purchases and home improvement, with more of its loans in majority-minority areas than most similar banks.
Home improvement is a second core business
Home-improvement loans were 38.3% of its 2025 loans, close to the 40.3% for home purchases, with refinancing at 12.0%. It also made more jumbo loans (larger than the conforming limit) than about four in five similar lenders (state non-member banks making between half and twice as many loans): 5.2% against 2.5%.
Modest growth, larger dollar volume
Originations rose 8% to 3,391, lower than about two-thirds of peers, whose typical growth was 12%, and below the whole market's 10%. Its $1.28 billion in loans was higher than about seven in ten peers. Lending is less than half the 7,356 loans of 2020.
Higher prices, falling
6.8% of its loans were higher-priced (a rate well above the average for similar loans), against 1.5% at peers, higher than about nine in ten, though down from 15.8% a year earlier. Possible reasons include manufactured homes, 5.5% of its loans against 1.3%, or its large home-improvement book.
Majority-minority areas up, LMI borrowers lower
18.1% of loans were in majority-minority tracts, against 10.1%, higher than three in four peers and up from 9.9% five years before. Low- and moderate-income (LMI) borrowers took 20.5%, against 28.8%, lower than about five in six peers, which could reflect its markets or a home-improvement book lent to existing owners.
Questions the data can answer next
Which counties and products carry its higher-priced loans, and how do they compare by loan type?
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
3,391 loans in 2025, against a peak of 7,356 in 2020.
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. Banner Bank took 6,315 applications in 2025.
40.3% of its 2025 loans were purchase loans; 95.0% were Conventional.
Purchase 40.3% · Home improvement 38.3% · Refinance 12.0% · Other 9.4% Conventional 95.0% · FHA 3.7% · VA 1.2% · USDA (RHS or FSA) 0.2% · of 3,391 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
5 states, 46 metros, 124 counties
State
Loans
Share
Washington
1,842
54.3%
Oregon
786
23.2%
California
627
18.5%
Idaho
135
4.0%
Utah
1
0.0%
Largest metro areas, 2025
Loans originated
Metro area
Loans
Seattle-Bellevue-Kent
318
Portland-Vancouver-Hillsboro
245
Spokane-Spokane Valley
203
Bellingham
164
San Diego-Chula Vista-Carlsbad
157
Tacoma-Lakewood
155
Everett
145
Riverside-San Bernardino-Ontario
138
Eugene-Springfield
134
Mount Vernon-Anacortes
131
Identifiers
LEI (Legal Entity Identifier, the global company code HMDA has used since 2018)
WE0I402RW25AU38DTI13
2018–2025
RSSD (the Federal Reserve's identifier for banks and their parents)
352772
2004–2023
Respondent ID (the HMDA filer code before 2018)
41691
1990–1991
Respondent ID (the HMDA filer code before 2018)
328489
1992–2017
Established 1 January 1890. Reported under HMDA 1990-2025.
Mergers, name changes, data editions and corrections: Banner Bank's data.
The data and the software behind these pages
Banner Bank's data
$215
Banner 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.