Applications / Mortgage Analytics / Lenders / Indiana / State Bank
Brownsburg, IN · State non-member bank · FDIC · $865 million assets · 39 loans in 2025
State Bank's data, $215Buy the data, $2,110Get Jenner, the SAS-compatible software
39
loans originated, 2025
90
applications, 2025
3
states and territories
0
gaps bigger than at similar lenders
Our analysis, 2025
State Bank, of Brownsburg, Indiana, makes larger loans than most similar banks, though its filing leaves the purpose of more than half its loans unstated.
Its filing gives 56.4% of its loans a purpose of "not applicable". Home purchases made up 30.8% and refinances 12.8%. That may be a quirk of how it reports rather than a different kind of lending, but it means the purpose figures describe under half of its loans.
Its typical loan was $265,000, against $165,000 at similar lenders, state non-member banks making between half and twice as many loans. That is larger than at about four in five of them. A year earlier its typical loan was $285,000.
It made 39 loans, up 8% from 36, a little faster than the 2% at similar banks. It made 91 loans in 2022 and filed no report for 2020 and 2021. Low- and moderate-income borrowers took 25.0% of its loans, close to the 27.1% at similar banks.
Its share in Kokomo rose 0.3 points to 0.3%, ranking it 48 of 209 lenders there, though on a book of 39 loans that rests on a handful of deals. It was formerly State Bank of Lizton, renamed in 2020, and absorbed Indiana Business Bank in 2016, whose filings count as its own in the competition figures.
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Originated means the loan was made: applications denied, withdrawn or not accepted are not counted.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. State Bank took 90 applications in 2025.
SOURCE: FFIEC HMDA, LOANS ORIGINATED (ACTION TAKEN: LOAN ORIGINATED)
FIG. 2 — PRODUCT MIX, 2025
Not applicable 56.4% · Purchase 30.8% · Refinance 12.8%
Conventional 100.0% · of 39 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 |
|---|---|---|
| Indiana | 37 | 94.9% |
| Florida | 1 | 2.6% |
| South Carolina | 1 | 2.6% |
Largest metro areas, 2025
| Metro area | Loans |
|---|---|
| Indianapolis-Carmel-Greenwood | 29 |
| Lafayette-West Lafayette | 3 |
| Cape Coral-Fort Myers | 1 |
| Hilton Head Island-Bluffton-Port Royal | 1 |
| Kokomo | 1 |
Identifiers
| LEI (Legal Entity Identifier, the global company code HMDA has used since 2018) | 549300XYCNS3JDVQXU89 | 2018–2025 |
| RSSD (the Federal Reserve's identifier for banks and their parents) | 345747 | 2004–2023 |
| Respondent ID (the HMDA filer code before 2018) | 31833 | 1990–2017 |
Established 1 December 1910. Reported under HMDA 1990-2025.
Mergers, name changes, data editions and corrections: State Bank's data.
State Bank's data
$215
State 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 State 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]