First Bank is a North Carolina bank whose originations rose 16% in 2025, faster than most similar lenders, with its largest share gain in Fayetteville, NC.
Faster growth, larger loans
Originations rose 16% to 1,632, against 7% at similar lenders (state member banks making between half and twice as many loans) and 10% for the whole market, higher than about three-quarters of peers. Dollar volume rose further, to $718.2 million from $407.8 million, as its typical loan grew to $235,000 from $205,000 and jumbo loans (larger than the conforming limit) to 6.4% from 3.1%.
Gains in Fayetteville and Greenville
Its share in Fayetteville, NC rose 1.8 points to 2.0%, ranking it 12 of 371, and in Greenville-Anderson-Greer it rose 0.6 points to 0.7%. In Wilmington, its market since before 1990, it ranked 13 of 538 with a 1.9% share, behind State Employees' Credit Union, Rocket Mortgage and First Citizens Bank.
More lending in majority-minority areas
Majority-minority areas took 14.9% of its loans, against 6.8% at peers and up from 8.0% five years before, higher than about three-quarters of similar lenders. LMI (low- and moderate-income) borrowers took 23.6%, up from 15.2% but lower than peers' 26.5%; its larger typical loan, $235,000 against $195,000, is one possible reason.
Few higher-priced loans
Its higher-priced share (a rate well above the average for similar loans) was 0.0%, against 1.2% at peers, and its typical rate, 6.88%, matched peers'. Its home-purchase denial rate, 6.8%, was near peers' 7.3%.
Questions the data can answer next
Which Fayetteville, NC counties and tracts account for its share gain, and which lenders lost ground 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
1,632 loans in 2025, against a peak of 3,409 in 2020.
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. First Bank took 2,199 applications in 2025.
46.2% of its 2025 loans were purchase loans; 97.8% were Conventional.
Purchase 46.2% · Refinance 20.9% · Other 17.0% · Home improvement 15.9% Conventional 97.8% · FHA 1.3% · VA 0.6% · USDA (RHS or FSA) 0.3% · of 1,632 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
5 states, 27 metros, 115 counties
State
Loans
Share
North Carolina
1,495
91.6%
South Carolina
132
8.1%
Virginia
3
0.2%
Kentucky
1
0.1%
Minnesota
1
0.1%
Largest metro areas, 2025
Loans originated
Metro area
Loans
Wilmington
240
Pinehurst-Southern Pines
172
Asheville
142
Charlotte-Concord-Gastonia
108
Greensboro-High Point
106
Raleigh-Cary
87
Winston-Salem
60
Greenville-Anderson-Greer
51
Durham-Chapel Hill
46
Jacksonville
38
Identifiers
LEI (Legal Entity Identifier, the global company code HMDA has used since 2018)
254900L67A0ZTJRS6614
2018–2025
RSSD (the Federal Reserve's identifier for banks and their parents)
216922
2004–2023
Respondent ID (the HMDA filer code before 2018)
315019
1990–2014
Respondent ID (the HMDA filer code before 2018)
2216922
2015–2017
Established 1 January 1934. Reported under HMDA 1990-2025.
Mergers, name changes, data editions and corrections: First Bank's data.
The data and the software behind these pages
First Bank's data
$215
First 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.