Dollar Bank, Federal Savings Bank combines the smallest typical loan among similar lenders with the largest share of loans above the conforming limit, alongside a top-three position in Pittsburgh.
Small loans and jumbo loans at once
Its typical loan was $105,000, against $225,000 for similar lenders (savings institutions making between half and twice as many loans), the lowest among them. Yet 8.5% of its loans were jumbo (larger than the conforming limit), against 2.2%, the highest. Home improvement loans may account for the small typical loan, alongside fewer, larger mortgages.
Few purchase denials
For first-lien home-purchase applications on owner-occupied homes it turned down 4.1%, against 6.4% for similar lenders, lower than about six in ten of them. Refinancing is its largest purpose, at 30.3% of its loans.
A fixture in Pittsburgh, softer in Cleveland
It ranks 3 of 571 in Pittsburgh with a 5.1% share, up 0.1 points, behind PNC Bank and Rocket Mortgage. In Cleveland it ranks 16 of 577, with its share down 0.2 points to 1.3%, a small move in a market The Huntington National Bank leads. It has lent in both since before 1990.
Recovering volume, broad reach
Originations rose 16% to 4,961, close to the 14% for similar lenders and above the market's 10%, but still below the 8,571 of 2021. 30.9% went to LMI (low- and moderate-income) borrowers, more than about four in five peers.
Questions the data can answer next
How do its home improvement and jumbo loans split by county, and how are they priced against PNC Bank's?
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
4,961 loans in 2025, against a peak of 8,571 in 2021.
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. Dollar Bank, Federal Savings Bank took 7,196 applications in 2025.
30.3% of its 2025 loans were refinance loans; 98.6% were Conventional.
Refinance 30.3% · Home improvement 28.6% · Purchase 25.9% · Other 15.2% Conventional 98.6% · FHA 1.2% · VA 0.2% · of 4,961 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
31 states, 86 metros, 249 counties
State
Loans
Share
Pennsylvania
3,102
62.5%
Ohio
1,229
24.8%
Virginia
228
4.6%
Maryland
75
1.5%
South Carolina
71
1.4%
Georgia
59
1.2%
North Carolina
50
1.0%
Minnesota
25
0.5%
Florida
18
0.4%
Tennessee
13
0.3%
Largest metro areas, 2025
Loans originated
Metro area
Loans
Pittsburgh
3,033
Cleveland
1,032
Virginia Beach-Chesapeake-Norfolk
180
Akron
92
Arlington-Alexandria-Reston
38
Greenville-Anderson-Greer
31
Atlanta-Sandy Springs-Roswell
27
Canton-Massillon
27
Minneapolis-St. Paul-Bloomington
23
Baltimore-Columbia-Towson
19
Identifiers
LEI (Legal Entity Identifier, the global company code HMDA has used since 2018)
549300MSU5WVAU4ZN645
2018–2025
RSSD (the Federal Reserve's identifier for banks and their parents)
961624
2004–2023
Respondent ID (the HMDA filer code before 2018)
48043
1990–2010
Respondent ID (the HMDA filer code before 2018)
1708043
2011–2017
Established 21 September 1984. Reported under HMDA 1990-2025.
Dollar Bank, Federal Savings 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.