1st Security Bank of Washington is a Washington savings institution set apart from similar lenders by its FHA (insured by the Federal Housing Administration), VA and manufactured-home lending, and it ranked fourth in Kennewick-Richland, where its share rose to 6.2%.
Government-backed and manufactured-home lending far above peers
FHA loans (insured by the Federal Housing Administration) were 16.4% of its originations, against 1.2% at similar lenders (savings institutions making between half and twice as many loans), up from 3.5% five years before. VA loans (guaranteed by the Department of Veterans Affairs) were 5.3%, against 0.1%. Manufactured homes were 9.7% of its loans, the highest share among its peers.
More higher-priced loans, alongside FHA and manufactured homes
Its higher-priced share (a rate well above the average for similar loans) was 7.9%, against 0.2% at peers. Manufactured-home loans, 9.7% of its lending, and FHA loans are often priced this way, which could account for most of the difference.
Fourth in Kennewick-Richland
It ranked 4 of 281 lenders in Kennewick-Richland, where it has lent since 2003, behind United Wholesale Mortgage, CMG Mortgage and Gesa Credit Union; its share rose 0.9 points to 6.2%.
Slower growth, larger loans
Originations rose 5% to 1,591, against 10% at similar lenders and for the whole market; they were 5,066 in 2020. Its typical loan, $405,000, was the largest among its peers, against $215,000. LMI (low- and moderate-income) borrowers took 18.2% of its loans, lower than more than four in five peers (25.7%), while LMI areas took 15.2%, against 12.8%; its larger loans are one possible reason for the lower borrower share.
Questions the data can answer next
Which Kennewick-Richland counties and tracts account for its share gain, and which lenders lost ground there?
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
1,591 loans in 2025, against a peak of 5,066 in 2020.
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. 1st Security Bank of Washington took 2,282 applications in 2025.
75.7% of its 2025 loans were purchase loans; 78.3% were Conventional.
Purchase 75.7% · Refinance 14.5% · Home improvement 4.9% · Other 4.8% Conventional 78.3% · FHA 16.4% · VA 5.3% · of 1,591 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
8 states, 31 metros, 76 counties
State
Loans
Share
Washington
1,432
90.0%
Oregon
99
6.2%
Idaho
27
1.7%
Arizona
20
1.3%
California
8
0.5%
Montana
2
0.1%
Nevada
2
0.1%
Colorado
1
0.1%
Largest metro areas, 2025
Loans originated
Metro area
Loans
Kennewick-Richland
365
Seattle-Bellevue-Kent
312
Tacoma-Lakewood
126
Everett
125
Portland-Vancouver-Hillsboro
75
Bremerton-Silverdale-Port Orchard
66
Olympia-Lacey-Tumwater
47
Yakima
38
Phoenix-Mesa-Chandler
18
Boise City
17
Identifiers
LEI (Legal Entity Identifier, the global company code HMDA has used since 2018)
5493003T5D4N1CM46J77
2018–2025
RSSD (the Federal Reserve's identifier for banks and their parents)
1018927
2005–2023
Respondent ID (the HMDA filer code before 2018)
357633
2004–2017
Established 1 April 2004. Reported under HMDA 2004-2025.
1st Security Bank of Washington 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.