Applications / Mortgage Analytics / Lenders / Oklahoma / Great Nations Bank
Norman, OK · State non-member bank · FDIC · $114 million assets · 72 loans in 2025
Great Nations Bank's data, $215Buy the data, $2,110Get Jenner, the SAS-compatible software
72
loans originated, 2025
85
applications, 2025
1
states and territories
0
gaps bigger than at similar lenders
Our analysis, 2025
Great Nations Bank returned to the record in 2025 with 72 loans around Oklahoma City, nearly all to buy homes and most of them to lower-income borrowers and poorer neighborhoods.
The bank filed no report from 2022 to 2024, gaps in the record rather than years without lending. Its last reports showed just 4 loans in 2020 and in 2021, so the 72 of 2025 mark a much busier lender, at least in what it reports. Whether that reflects new lending or a return to reporting, the figures cannot say.
Purchases made up 91.7% of its loans, all conventional. Its typical loan was $135,000, lower than about seven in ten similar lenders, state non-member banks making between half and twice as many loans, whose typical loan was $170,000.
Some 58.5% of its borrowers had low or moderate incomes, against 27.2% at the typical similar lender, and 54.3% of its loans went to poorer neighborhoods (low- and moderate-income tracts), against 18.5%. Both are higher than nearly all its peers. It also made 52.8% of its loans in majority-minority tracts, against 6.5%.
All its lending is in one metro area. Its share of Oklahoma City rose to 0.1%, ranking 144 of 534 lenders, in a market led by First United Bank and Trust Company with $398.4M.
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
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. Years with no HMDA report from this lender are left out: since 2020 a bank making fewer than 100 closed-end loans a year need not report. Great Nations Bank took 85 applications in 2025.
SOURCE: FFIEC HMDA, LOANS ORIGINATED (ACTION TAKEN: LOAN ORIGINATED)
FIG. 2 — PRODUCT MIX, 2025
Purchase 91.7% · Refinance 8.3%
Conventional 100.0% · of 72 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
| State | Loans | Share |
|---|---|---|
| Oklahoma | 72 | 100.0% |
Largest metro areas, 2025
| Metro area | Loans |
|---|---|
| Oklahoma City | 72 |
Identifiers
| LEI (Legal Entity Identifier, the global company code HMDA has used since 2018) | 254900TGSOSDEDP36K37 | 2018–2025 |
| LEI (Legal Entity Identifier, the global company code HMDA has used since 2018) | 254900TGS0SDEDP36K37 | 2019–2021 |
| RSSD (the Federal Reserve's identifier for banks and their parents) | 3599804 | 2014–2021 |
| Respondent ID (the HMDA filer code before 2018) | 358680 | 2014–2017 |
Established 28 September 2009. Reported under HMDA 2014-2025.
Mergers, name changes, data editions and corrections: Great Nations Bank's data.
Great Nations Bank's data
$215
Great Nations 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.
Buy Great Nations Bank's data, $215Jenner Mortgage Analytics: all the data
$2,110
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.
Buy the data, $2,110Jenner, the SAS-compatible software
See prices
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.
Get JennerQuestions, or the data and Jenner together: [email protected]