M/I Financial lends to home buyers: home purchase made up 100.0% of its 7,003 loans in 2025, with a typical loan of $395,000, larger than nearly nine in ten similar lenders'.
Purchase loans only, and larger than peers'
Home purchase made up 100.0% of its lending and refinancing 0.0%. Its typical loan was $395,000, against $315,000 at similar lenders (independent non-bank lenders making between half and twice as many loans). FHA loans (insured by the Federal Housing Administration) were 32.4%, against 24.9%, and VA loans (guaranteed by the Department of Veterans Affairs) 10.6%, against 7.6%.
Lower rates and almost no higher-priced loans
Its typical rate was 5.88%, against 6.62% at similar lenders, lower than about nine in ten of them. Its higher-priced share (a rate well above the average for similar loans) was 0.0%, against 3.1%.
Few loans in LMI areas
Only 7.3% of its loans were in LMI (low- and moderate-income) areas, against 20.5%, the lowest share among similar lenders, and 14.0% went to LMI borrowers, against 29.8%. Its share in majority-minority areas, 25.1%, was near the middle. One possibility is its loan size: larger purchase loans go less often to lower-income buyers and areas.
Slower growth than peers, steady in Columbus
Originations rose 7%, against 14% for similar lenders and 10% for the whole market, and were 5,812 five years earlier. It has lent in Columbus, OH since before 1990 and ranked 11 of 596 there, with an unchanged share of 1.8%. In Orlando-Kissimmee-Sanford its share rose to 0.9% from 0.8%.
Questions the data can answer next
Which counties and price ranges make up its purchase lending in Texas, its main state?
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
7,003 loans in 2025, its most in any year since 2018.
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. M/I Financial took 8,501 applications in 2025.
100.0% of its 2025 loans were purchase loans; 57.0% were Conventional.
Purchase 100.0% · Refinance 0.0% Conventional 57.0% · FHA 32.4% · VA 10.6% · USDA (RHS or FSA) 0.0% · of 7,003 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
10 states, 27 metros, 79 counties
State
Loans
Share
Texas
2,129
30.4%
Florida
1,223
17.5%
Ohio
1,088
15.5%
North Carolina
723
10.3%
Minnesota
571
8.2%
Illinois
566
8.1%
Indiana
437
6.2%
Michigan
185
2.6%
Tennessee
74
1.1%
South Carolina
7
0.1%
Largest metro areas, 2025
Loans originated
Metro area
Loans
Columbus
712
Dallas-Plano-Irving
625
Houston-Pasadena-The Woodlands
577
Minneapolis-St. Paul-Bloomington
571
San Antonio-New Braunfels
483
Orlando-Kissimmee-Sanford
444
Indianapolis-Carmel-Greenwood
437
Charlotte-Concord-Gastonia
423
Tampa
420
Austin-Round Rock-San Marcos
332
Identifiers
LEI (Legal Entity Identifier, the global company code HMDA has used since 2018)
549300PXL1KA5TOL2O82
2018–2025
RSSD (the Federal Reserve's identifier for banks and their parents)
3837412
2010–2023
Respondent ID (the HMDA filer code before 2018)
7311076317
Respondent ID (the HMDA filer code before 2018)
77071000005
1990–2010
Established 3 October 1983. Reported under HMDA 1990-2025.
M/I Financial 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.