M&T Bank grew 13% in 2025, faster than the whole market's 10%, and 34.7% of its borrowers were LMI (low- and moderate-income), up from 31.1% in 2020 and higher than about nine in ten similar lenders.
Growth above peers and the market
Similar lenders are state member banks making between a quarter and four times as many loans. Originations rose from 20,743 to 23,446, a rise of 13%, faster than about seven in ten of them, whose typical growth was 9%, though still below 30,860 in 2021. Lending by value rose faster, from $5.37 billion to $7.39 billion.
An even three-way product mix
Purchase loans are 32.3% of its lending, refinancing 27.6% and home improvement 27.4%. That large home-improvement share may explain why its typical loan of $165,000 was smaller than at about seven in ten similar lenders, against $190,000.
Typical denials, lower rates this year
It turned down 8.0% of first-lien home-purchase applications on owner-occupied homes and 25.1% of refinance applications, both near the middle of similar lenders. Higher-priced loans (a rate well above the average for similar loans) fell from 14.4% to 2.9%, and its typical rate from 7.00% to 5.99%, lower than more than four in five of them.
Second in Buffalo, smaller elsewhere
It ranks second of 267 lenders in Buffalo, with 10.0% of lending, up from 9.4%, behind United Wholesale Mortgage. In Hartford its share eased from 2.0% to 1.9%, and it ranks 15th in New York.
Questions the data can answer next
How do denial rates differ between its home-improvement, refinance and purchase applications?
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
23,446 loans in 2025, against a peak of 30,860 in 2021.
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. M&T Bank took 40,597 applications in 2025.
32.3% of its 2025 loans were purchase loans; 90.4% were Conventional.
Purchase 32.3% · Refinance 27.6% · Home improvement 27.4% · Other 12.7% Conventional 90.4% · FHA 6.1% · VA 3.4% · USDA (RHS or FSA) 0.1% · of 23,446 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
51 states, 319 metros, 918 counties
State
Loans
Share
New York
7,073
30.2%
Maryland
3,115
13.3%
Pennsylvania
3,099
13.2%
Connecticut
2,398
10.2%
Massachusetts
1,690
7.2%
New Jersey
1,501
6.4%
Virginia
901
3.8%
Delaware
767
3.3%
Vermont
352
1.5%
Florida
342
1.5%
Largest metro areas, 2025
Loans originated
Metro area
Loans
Buffalo-Cheektowaga
2,488
Baltimore-Columbia-Towson
1,787
New York-Jersey City-White Plains
1,333
Bridgeport-Stamford-Danbury
954
Hartford-West Hartford-East Hartford
827
Nassau County-Suffolk County
761
Arlington-Alexandria-Reston
711
Cambridge-Newton-Framingham
678
Rochester
631
Frederick-Gaithersburg-Bethesda
617
Identifiers
LEI (Legal Entity Identifier, the global company code HMDA has used since 2018)
WWB2V0FCW3A0EE3ZJN75
2018–2025
RSSD (the Federal Reserve's identifier for banks and their parents)
501105
2004–2023
Respondent ID (the HMDA filer code before 2018)
2501105
1990–2010
Respondent ID (the HMDA filer code before 2018)
9501105
2011–2017
Established 1 January 1856. Reported under HMDA 1990-2025.
Mergers, name changes, data editions and corrections: M&T Bank's data.
The data and the software behind these pages
M&T Bank's data
$215
M&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.