Fulton Bank is a Pennsylvania lender that ranked 2 of 365 in Lancaster, PA and grew originations 10% in 2025, in step with the whole market and faster than most similar lenders.
Grew with the market, still below 2020
Originations rose 10% to 6,400, against 2% for similar lenders (national banks making between half and twice as many loans) and 10% for the whole market, faster than more than two-thirds of them. That is still about half the 12,283 of 2020, the high point of its record since 2018.
More LMI lending than most similar lenders
It made 35.4% of its loans to LMI (low- and moderate-income) borrowers, against 27.1% at similar lenders, more than two-thirds of them, and 19.5% in LMI areas, against 17.6%, higher than about four in five. Both shares rose from 28.2% and 14.3% five years before.
Second in its home market
In Lancaster its share edged up to 6.8% from 6.7%, behind Guild Mortgage Company and ahead of Members 1st Federal Credit Union; it has lent there since before 1990. In the larger metros it is a smaller presence, ranking 34 of 784 in Philadelphia and 76 of 802 in New York.
A mixed book at lower prices
Home improvement made up 19.1% of its loans, and 14.3% were jumbo (larger than the conforming limit), against 5.3% at peers. Its typical loan, $205,000, was below the $245,000 at peers, which its smaller home-improvement loans may pull down. Only 0.6% of loans were higher-priced (a rate well above the average for similar loans), against 1.6%.
Questions the data can answer next
How has Guild Mortgage Company's lead over Fulton Bank in Lancaster changed over the past decade, county by county?
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
6,400 loans in 2025, against a peak of 12,283 in 2020.
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. Fulton Bank took 9,755 applications in 2025.
52.8% of its 2025 loans were purchase loans; 95.3% were Conventional.
Purchase 52.8% · Home improvement 19.1% · Refinance 16.9% · Other 11.2% Conventional 95.3% · FHA 3.8% · VA 0.9% · USDA (RHS or FSA) 0.0% · of 6,400 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, 54 metros, 194 counties
State
Loans
Share
Pennsylvania
3,211
50.2%
New Jersey
1,233
19.3%
Virginia
797
12.5%
Maryland
744
11.6%
Delaware
289
4.5%
District of Columbia
70
1.1%
North Carolina
24
0.4%
West Virginia
19
0.3%
Florida
6
0.1%
South Carolina
4
0.1%
Largest metro areas, 2025
Loans originated
Metro area
Loans
Lancaster
899
Baltimore-Columbia-Towson
449
York-Hanover
413
Camden
389
Lakewood-New Brunswick
377
Montgomery County-Bucks County-Chester County
294
Harrisburg-Carlisle
276
Reading
272
Richmond
247
Allentown-Bethlehem-Easton
238
Identifiers
LEI (Legal Entity Identifier, the global company code HMDA has used since 2018)
DZC62HF6UIZYJ08V1J90
2018–2025
RSSD (the Federal Reserve's identifier for banks and their parents)
474919
2004–2023
Respondent ID (the HMDA filer code before 2018)
37551
1990–2008
Respondent ID (the HMDA filer code before 2018)
124891
2009–2017
Established 1 January 1882. Reported under HMDA 1990-2025.
Mergers, name changes, data editions and corrections: Fulton Bank's data.
The data and the software behind these pages
Fulton Bank's data
$215
Fulton 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.