ACNB Bank, a Pennsylvania bank, raised its lending 166% in 2025, the year it merged with Traditions Bank, and ranked first in York-Hanover and Gettysburg.
Growth far above peers
Originations rose 166% to 1,374, from 516 in 2024, faster than nearly all similar lenders (state non-member banks making between half and twice as many loans), which grew 10%, as did the whole market. The rise followed four years of falls from 1,259 in 2020. Its 2025 merger with Traditions Bank is one possible reason.
First in York-Hanover and Gettysburg
It ranked 1 of 379 lenders in York-Hanover, with 6.2%, up from 0.6%, and 1 of 228 in Gettysburg, with 10.6%, up from 6.5%. The competition figures count Traditions Bank's filings as ACNB Bank's, so part of the jump may come from the merger. Members 1st Federal Credit Union ranked second in both.
New FHA and VA lending
FHA loans (insured by the Federal Housing Administration) were 7.1% of its lending and VA loans (guaranteed by the Department of Veterans Affairs) 2.2%, against 0.0% for both in 2024 and 2.2% and 0.6% at similar lenders. Home purchases made up 65.8% of its loans.
More lending to lower-income borrowers
LMI (low- and moderate-income) borrowers took 37.4% of its loans, against 27.4% at similar lenders, higher than nearly nine in ten of them, and up from 27.9% five years before. Its share in LMI areas, 18.1%, was above peers' 14.8%. Its purchase denial rate, 4.2%, was lower than peers' 5.9%.
Questions the data can answer next
Which counties account for its share gains in York-Hanover and Gettysburg, and which lenders lost share 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
1,374 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Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. ACNB Bank took 1,789 applications in 2025.
65.8% of its 2025 loans were purchase loans; 90.5% were Conventional.
Purchase 65.8% · Refinance 16.6% · Other 11.9% · Home improvement 5.7% Conventional 90.5% · FHA 7.1% · VA 2.2% · USDA (RHS or FSA) 0.2% · of 1,374 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
10 states, 26 metros, 51 counties
State
Loans
Share
Pennsylvania
1,188
86.5%
Maryland
131
9.5%
West Virginia
10
0.7%
Delaware
4
0.3%
Virginia
4
0.3%
Florida
3
0.2%
New Jersey
3
0.2%
Arkansas
1
0.1%
South Carolina
1
0.1%
Utah
1
0.1%
Largest metro areas, 2025
Loans originated
Metro area
Loans
York-Hanover
681
Gettysburg
275
Harrisburg-Carlisle
84
Baltimore-Columbia-Towson
70
Chambersburg
63
Lancaster
39
Frederick-Gaithersburg-Bethesda
36
Hagerstown-Martinsburg
25
Lebanon
16
Reading
8
Identifiers
LEI (Legal Entity Identifier, the global company code HMDA has used since 2018)
5493005CFFMKTUKLO381
2018–2025
RSSD (the Federal Reserve's identifier for banks and their parents)
5210
2004–2023
Respondent ID (the HMDA filer code before 2018)
1311
1990–2009
Respondent ID (the HMDA filer code before 2018)
37506
2010–2017
Established 11 April 1857. Reported under HMDA 1990-2025.
Mergers, name changes, data editions and corrections: ACNB Bank's data.
The data and the software behind these pages
ACNB Bank's data
$215
ACNB 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.