Churchill Mortgage is a mainly conventional, Tennessee-based home-purchase lender that lends to low- and moderate-income borrowers more than most similar lenders, though its originations dipped 3% in 2025.
Mostly conventional purchase lending
Conventional loans were 75.3% of its originations, against 65.1% at similar lenders (independent non-bank lenders making between half and twice as many loans), more than about three in four of them. FHA loans (insured by the Federal Housing Administration) were 17.2%, against 24.9%. Purchases made up 79.3%, and its typical loan was $275,000, against $325,000.
More LMI borrowers, fewer LMI areas
It made 37.6% of its loans to LMI (low- and moderate-income) borrowers, against 28.4%, more than about four in five similar lenders, up from 24.8% five years earlier. Its shares in LMI areas, 18.3%, and majority-minority areas, 15.7%, against 25.1%, were lower. Its smaller loans may suit lower-income buyers wherever they live, and the mix of areas in its markets may shape the area figures.
Slightly smaller while peers grew
Originations fell 3% to 6,052, while similar lenders grew 15% and the whole market 10%. Five years earlier it made 17,301. Its share fell in Nashville-Davidson--Murfreesboro--Franklin, to 0.8% from 1.0%, and in Grand Rapids-Wyoming-Kentwood, to 1.0% from 1.4%; in Omaha it held 1.4%. Slightly lower volume in a growing market could explain part of the fall, and competitors' gains in those markets the rest.
Few purchase applications turned down
It turned down 2.1% of first-lien home-purchase applications on owner-occupied homes, against 4.6%, lower than about four in five similar lenders. Its refinance denial rate, 8.8%, matched theirs.
Questions the data can answer next
Which counties account for its lending to LMI borrowers, and how does its pricing there compare with competitors?
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
6,052 loans in 2025, against a peak of 18,013 in 2021.
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. Churchill Mortgage took 8,660 applications in 2025.
79.3% of its 2025 loans were purchase loans; 75.3% were Conventional.
Purchase 79.3% · Refinance 20.7% Conventional 75.3% · FHA 17.2% · VA 6.7% · USDA (RHS or FSA) 0.8% · of 6,052 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
49 states, 352 metros, 1,242 counties
State
Loans
Share
Tennessee
627
10.4%
Texas
609
10.1%
Nebraska
513
8.5%
Michigan
454
7.5%
Washington
351
5.8%
Idaho
234
3.9%
Oregon
219
3.6%
Ohio
218
3.6%
Maryland
194
3.2%
California
189
3.1%
Largest metro areas, 2025
Loans originated
Metro area
Loans
Nashville-Davidson--Murfreesboro--Franklin
436
Omaha
417
Grand Rapids-Wyoming-Kentwood
251
Boise City
160
Dallas-Plano-Irving
133
Baltimore-Columbia-Towson
121
Missoula
110
Cincinnati
109
Seattle-Bellevue-Kent
92
Kennewick-Richland
80
Identifiers
LEI (Legal Entity Identifier, the global company code HMDA has used since 2018)
549300BLL6VL7AXWYP56
2018–2025
RSSD (the Federal Reserve's identifier for banks and their parents)
3913697
2010–2023
Respondent ID (the HMDA filer code before 2018)
7621494087
Respondent ID (the HMDA filer code before 2018)
77608900002
2004–2011
Established 13 March 1992. Reported under HMDA 2004-2025.
Churchill Mortgage 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.