Coastal Community Bank is an unusual mortgage lender: almost none of its 21,244 loans were for home purchase, and its typical loan was $55,000, against $210,000 for similar lenders.
Small loans for purposes other than buying a home
Loans for other purposes made up 55.3% of its lending and home improvement 32.5%; purchase was 0.1%. Its loans reach 1,695 counties in 43 states from an Everett head office, which could point to lending through channels other than local branches.
High prices on small loans
Higher-priced loans (a rate well above the average for similar loans) were 46.6%, down from 59.7% but higher than at any similar lender (state member banks making between a quarter and four times as many loans), and its typical rate fell from 12.49% to 10.24%. Small home-improvement and other loans may carry higher rates than first mortgages. Its first-lien purchase and refinance applications on owner-occupied homes were too few to give a denial rate.
Fast growth since it returned to reporting
Originations rose 41% to 21,244, against 10% for the whole market, after 12,464 in 2023 and 15,099 in 2024. It filed no report for 2020 to 2022, a gap in the record rather than years without lending. Its growth was faster than about nine in ten similar lenders, whose typical growth was 9%.
Wide reach, small shares
Its largest markets by lending are Los Angeles, Chicago and Seattle, yet it ranks only 146 of 902 in Chicago and 117 of 597 in Seattle. It entered Atlanta and Indianapolis in 2025.
Questions the data can answer next
How do its rates compare with other lenders' home-improvement loans of similar size, county by county?
Similar lenders: same lender type, originations between a quarter and four times the lender's.
Written from the 2025 HMDA data and checked figure by figure against it.
FIG. 1 — LOANS ORIGINATED, 2018–2025
21,244 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Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. Years with no HMDA report from this lender are left out: since 2020 a bank making fewer than 100 closed-end loans a year need not report. Coastal Community Bank took 93,158 applications in 2025.
55.3% of its 2025 loans were other loans; 100.0% were Conventional.
Other 55.3% · Home improvement 32.5% · Refinance 12.2% · Purchase 0.1% Conventional 100.0% · of 21,244 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
43 states, 342 metros, 1,695 counties
State
Loans
Share
California
3,015
14.2%
Florida
2,383
11.2%
Ohio
1,359
6.4%
Illinois
1,213
5.7%
Pennsylvania
1,032
4.9%
North Carolina
962
4.5%
Virginia
824
3.9%
New Jersey
811
3.8%
Arizona
786
3.7%
Michigan
772
3.6%
Largest metro areas, 2025
Loans originated
Metro area
Loans
Chicago-Naperville-Schaumburg
704
Los Angeles-Long Beach-Glendale
607
Riverside-San Bernardino-Ontario
588
Phoenix-Mesa-Chandler
564
Orlando-Kissimmee-Sanford
354
Arlington-Alexandria-Reston
331
Minneapolis-St. Paul-Bloomington
307
Denver-Aurora-Centennial
298
Charlotte-Concord-Gastonia
282
Atlanta-Sandy Springs-Roswell
280
Identifiers
LEI (Legal Entity Identifier, the global company code HMDA has used since 2018)
5493001GCBD5XGNIC815
2018–2025
RSSD (the Federal Reserve's identifier for banks and their parents)
2562164
2004–2023
Respondent ID (the HMDA filer code before 2018)
334403
2000–2007
Respondent ID (the HMDA filer code before 2018)
22562164
2008–2017
Established 1 April 1997. Reported under HMDA 2000-2025.
Coastal Community 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.