MidFirst Bank is a large-loan lender and a heavy buyer of loans, and its originations grew 26% in 2025, faster than similar lenders (7%) and the whole market (10%).
Faster growth than most similar lenders
Similar lenders here are other savings institutions with between half and twice its originations. MidFirst Bank made 2,416 loans, up from 1,920 in 2024, growing faster than more than eight in ten of them, though still below the 3,291 of 2020.
Middling loan count, the most dollars
Its loan count was near the middle of similar lenders, but its $1.81 billion lent was the highest among them. Jumbo loans (larger than the conforming limit) were 24.3% of its loans, against 2.1%, and the typical loan was $375,000, against $220,000. It bought 11,244 loans from other lenders, the most among similar lenders, though fewer than the 61,926 of five years earlier.
Few LMI borrowers, many LMI and majority-minority areas
Only 15.6% of its loans went to LMI (low- and moderate-income) borrowers, against 25.4% at similar lenders, the lowest among them. Yet 21.1% were in LMI areas, higher than about nine in ten, and 35.3% in majority-minority areas, the highest. One possible reason for the low borrower share is its focus on large loans, which tend to go to higher-income borrowers.
Gaining share in Santa Barbara
It ranks 9 of 534 lenders in Oklahoma City, where it has lent since before 1990; its share there rose to 2.2% from 2.1%. In Santa Maria-Santa Barbara it ranks 10 of 339, with 2.6% against 0.8% a year earlier.
Questions the data can answer next
Which counties and tracts produce MidFirst Bank's jumbo lending, and how does its pricing compare with competitors 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
2,416 loans in 2025, against a peak of 3,478 in 2021.
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. MidFirst Bank took 3,262 applications in 2025.
56.7% of its 2025 loans were purchase loans; 90.8% were Conventional.
Purchase 56.7% · Refinance 18.2% · Other 17.2% · Home improvement 7.9% Conventional 90.8% · FHA 7.6% · VA 1.6% · USDA (RHS or FSA) 0.0% · of 2,416 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
44 states, 150 metros, 272 counties
State
Loans
Share
Oklahoma
728
30.1%
California
535
22.1%
Texas
385
15.9%
Arizona
281
11.6%
Colorado
152
6.3%
Nevada
72
3.0%
Utah
42
1.7%
New York
24
1.0%
New Mexico
18
0.7%
Florida
16
0.7%
Largest metro areas, 2025
Loans originated
Metro area
Loans
Oklahoma City
567
Los Angeles-Long Beach-Glendale
395
Phoenix-Mesa-Chandler
245
Dallas-Plano-Irving
206
Houston-Pasadena-The Woodlands
123
Denver-Aurora-Centennial
106
Tulsa
94
Las Vegas-Henderson-North Las Vegas
63
Santa Maria-Santa Barbara
44
Anaheim-Santa Ana-Irvine
31
Identifiers
LEI (Legal Entity Identifier, the global company code HMDA has used since 2018)
337KMNHEWWWR6B7Q7W10
2018–2025
RSSD (the Federal Reserve's identifier for banks and their parents)
595270
2004–2023
Respondent ID (the HMDA filer code before 2018)
414191
1997–2010
Respondent ID (the HMDA filer code before 2018)
1714191
2011–2015
Respondent ID (the HMDA filer code before 2018)
9595270
2016–2017
Established 28 February 1911. Reported under HMDA 1997-2025.
MidFirst 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.