BOKF is an Oklahoma bank lending in 44 states that makes far more government-backed loans than similar national banks, and holds 5.2% of the Tulsa market at rank 3.
A government-loan lender among national banks
Similar lenders are national banks making between half and twice as many loans. FHA (insured by the Federal Housing Administration) loans were 9.0% of its originations against 1.1%, and VA (guaranteed by the Department of Veterans Affairs) loans 2.4% against 0.6%, each higher than more than four in five similar lenders. Its FHA share has risen from 7.2% five years before.
More higher-priced loans, a typical rate
Higher-priced loans (a rate well above the average for similar loans) were 4.5% of its originations against 0.8%, higher than about nine in ten similar lenders. Its larger FHA share is one possible reason. Its typical rate, 6.62%, matched similar lenders'.
Gaining in Denver, losing in Albuquerque
Its Tulsa share held at 5.2%, behind Associated Mortgage and Arvest Bank. It gained in Denver, to 0.8% from 0.5%, and in Houston, to 0.5% from 0.4%, but fell in Albuquerque to 3.0% from 3.8%. Stronger national competitors there or the bank's own pricing choices could explain the fall.
Level after a long decline
Originations fell from 17,925 in 2020 to 5,595 in 2023, then rose 2%, like similar lenders and below the whole market's 10%. Its share of loans in majority-minority areas, 23.9% against 16.6%, was higher than about three-quarters of similar lenders, which may reflect its Texas and New Mexico markets.
Questions the data can answer next
How do its FHA and conventional loans compare on price and denials with similar lenders' taken separately?
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
5,995 loans in 2025, against a peak of 17,925 in 2020.
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. BOKF took 11,003 applications in 2025.
52.6% of its 2025 loans were purchase loans; 88.4% were Conventional.
Purchase 52.6% · Refinance 17.6% · Home improvement 16.3% · Other 13.5% Conventional 88.4% · FHA 9.0% · VA 2.4% · USDA (RHS or FSA) 0.3% · of 5,995 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, 127 metros, 356 counties
State
Loans
Share
Oklahoma
2,384
39.8%
Texas
1,139
19.0%
Colorado
853
14.2%
New Mexico
772
12.9%
Arizona
237
4.0%
Kansas
200
3.3%
Missouri
147
2.5%
Arkansas
125
2.1%
Florida
16
0.3%
Ohio
13
0.2%
Largest metro areas, 2025
Loans originated
Metro area
Loans
Tulsa
1,417
Oklahoma City
678
Albuquerque
634
Denver-Aurora-Centennial
493
Dallas-Plano-Irving
363
Houston-Pasadena-The Woodlands
290
Kansas City
248
Fort Worth-Arlington-Grapevine
195
Phoenix-Mesa-Chandler
193
Fayetteville-Springdale-Rogers
109
Identifiers
LEI (Legal Entity Identifier, the global company code HMDA has used since 2018)
FU7RSW4CQQY98A2O7J66
2018–2025
RSSD (the Federal Reserve's identifier for banks and their parents)
339858
2004–2023
Respondent ID (the HMDA filer code before 2018)
113679
1990–2010
Respondent ID (the HMDA filer code before 2018)
9339858
2011–2017
Established 10 February 1910. Reported under HMDA 1990-2025.
Mergers, name changes, data editions and corrections: BOKF's data.
The data and the software behind these pages
BOKF's data
$215
BOKF 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.