Applications / Mortgage Analytics / Lenders / Michigan / Lake Trust Credit Union
Brighton, MI · Credit union · NCUA · $2.8 billion assets · 522 loans in 2025
Lake Trust Credit Union's data, $215Buy the data, $2,110Get Jenner, the SAS-compatible software
522
loans originated, 2025
955
applications, 2025
1
states and territories
0
gaps bigger than at similar lenders
Our analysis, 2025
Lake Trust Credit Union is a Michigan lender to existing homeowners: 46.4% of its 522 loans in 2025 were for home improvement and only 1.0% for home purchase.
Home improvement was 46.4% of its loans, other purposes 30.7% and refinance 22.0%, with purchase at 1.0%. All were conventional. Its typical loan was $55,000, against $105,000 for similar lenders (credit unions making between half and twice as many loans), among the lowest of them, as small home-improvement loans would suggest.
It made 522 loans, up 17% against 5% for similar lenders and 10% for the whole market, higher than more than two-thirds of similar lenders. It made 396 loans in 2020 and 622 in 2018. Its higher-priced share (a rate well above the average for similar loans) was 1.0%, against 1.7%.
Its share of loans to low- and moderate-income (LMI) borrowers rose to 30.1% from 25.3%, against 27.3% for similar lenders, a little above the middle. In LMI tracts it was 15.6%, against 15.2%. In majority-minority tracts it was 6.9%, against 10.8%, lower than about six in ten similar lenders; the Michigan markets it serves may have few such tracts.
Questions the data can answer next
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Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. Lake Trust Credit Union took 955 applications in 2025.
SOURCE: FFIEC HMDA, LOANS ORIGINATED (ACTION TAKEN: LOAN ORIGINATED)
FIG. 2 — PRODUCT MIX, 2025
Home improvement 46.4% · Other 30.7% · Refinance 22.0% · Purchase 1.0%
Conventional 100.0% · of 522 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 |
|---|---|---|
| Michigan | 522 | 100.0% |
Largest metro areas, 2025
| Metro area | Loans |
|---|---|
| Warren-Troy-Farmington Hills | 171 |
| Lansing-East Lansing | 125 |
| Grand Rapids-Wyoming-Kentwood | 74 |
| Ann Arbor | 56 |
| Detroit-Dearborn-Livonia | 39 |
| Jackson | 7 |
| Flint | 6 |
| Muskegon-Norton Shores | 5 |
| Midland | 2 |
| Monroe | 2 |
Identifiers
| LEI (Legal Entity Identifier, the global company code HMDA has used since 2018) | 254900RQGXH1N2N6D695 | 2018–2025 |
| RSSD (the Federal Reserve's identifier for banks and their parents) | 794091 | 2004–2023 |
| Respondent ID (the HMDA filer code before 2018) | 562047 | 1990–2017 |
Established 1 January 1944. Reported under HMDA 1990-2025.
Mergers, name changes, data editions and corrections: Lake Trust Credit Union's data.
Lake Trust Credit Union's data
$215
Lake Trust Credit Union 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 Lake Trust Credit Union'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]