S&T Bank is an all-conventional lender of small, low-priced loans, with a typical loan of $125,000 against $205,000 at similar lenders, and in 2025 it grew more slowly than most of them.
Small loans at low prices
Its typical loan was $125,000, lower than about nine in ten similar lenders (state non-member banks making between half and twice as many loans), whose typical loan was $205,000. Its typical rate of 6.25% and 0.1% share of higher-priced loans (a rate well above the average for similar loans) are both lower than most peers. Home-improvement and other-purpose loans, 24.3% and 13.9% of its lending, may explain both.
No government-backed loans
All its loans were conventional, while peers made 3.5% of theirs FHA (insured by the Federal Housing Administration). Refinancing was its largest purpose at 36.8%, ahead of purchase at 25.0%, so much of its lending goes to existing homeowners.
LMI borrowers high, LMI areas lower
LMI (low- and moderate-income) borrowers took 35.4% of loans, up from 25.6% five years before and higher than about four in five peers. Its shares in LMI tracts (13.4%) and majority-minority tracts (4.1%) are lower than about seven in ten peers, possibly reflecting a footprint with fewer such tracts.
Steady in Pittsburgh, shifting in Ohio
It ranks 10 of 571 in Pittsburgh with an unchanged 2.5% share. Its Columbus share fell to 0.5% from 1.1% while Cleveland rose to 0.7% from 0.3%. Growth of 5% trailed the typical peer's 13%, and its 2,617 loans are about half the 4,875 of 2021.
Questions the data can answer next
How does pricing differ between its home-improvement, purchase and refinance lending?
Which lenders gained the Columbus share it lost?
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
2,617 loans in 2025, against a peak of 4,875 in 2021.
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. S&T Bank took 4,101 applications in 2025.
36.8% of its 2025 loans were refinance loans; 100.0% were Conventional.
Refinance 36.8% · Purchase 25.0% · Home improvement 24.3% · Other 13.9% Conventional 100.0% · of 2,617 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
13 states, 47 metros, 102 counties
State
Loans
Share
Pennsylvania
2,442
93.3%
Ohio
133
5.1%
New Jersey
15
0.6%
Florida
6
0.2%
Maryland
6
0.2%
Delaware
4
0.2%
Georgia
2
0.1%
South Carolina
2
0.1%
West Virginia
2
0.1%
Indiana
1
0.0%
Largest metro areas, 2025
Loans originated
Metro area
Loans
Pittsburgh
1,175
Montgomery County-Bucks County-Chester County
243
Harrisburg-Carlisle
93
Johnstown
89
Philadelphia
77
Lancaster
70
Columbus
60
Altoona
54
Cleveland
32
Akron
23
Identifiers
LEI (Legal Entity Identifier, the global company code HMDA has used since 2018)
MCXHCL35UUWDZK7NCQ61
2018–2025
RSSD (the Federal Reserve's identifier for banks and their parents)
936426
2004–2023
Respondent ID (the HMDA filer code before 2018)
311124
1992–2017
Established 21 May 1902. Reported under HMDA 1992-2025.
Mergers, name changes, data editions and corrections: S&T Bank's data.
The data and the software behind these pages
S&T Bank's data
$215
S&T 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.