Kiavi Funding makes only conventional loans, mostly for home purchases, and lends a far larger share in lower-income and majority-minority areas than most similar lenders, having grown from 7,200 loans in 2020 to 25,528.
Conventional loans only
All its loans were conventional: none were FHA loans (insured by the Federal Housing Administration) or VA loans (guaranteed by the Department of Veterans Affairs), against 23.1% and 8.2% at similar lenders (non-banks making between an eighth and eight times as many loans). Home purchases were 73.8% of its lending and refinances 26.2%. It bought no loans.
Lending concentrated in lower-income and majority-minority areas
44.4% of its loans were in LMI (low- and moderate-income) areas, against 20.1% at similar lenders, higher than at nearly all of them, and 51.2% were in majority-minority areas, against 26.5%, higher than at about nine in ten. Both shares have risen since 2020. Its typical loan was smaller, $215,000 against $305,000. No figures for borrower income or higher-priced loans are available for it.
Steady growth since 2018
It made 25,528 loans, up 16%, against 14% for similar lenders and 10% for the whole market, near the middle of them. Its yearly loans have risen from 5,494 in 2018, with only one small dip, in 2023. California is its main state, and it has lent in Los Angeles-Long Beach-Anaheim and San Francisco-Oakland-Fremont since 2015, its first year of reporting.
Questions the data can answer next
Which counties and neighbourhoods do its loans in LMI and majority-minority areas come from?
How do its rates compare with other conventional-only lenders by loan purpose?
Similar lenders: lenders of the same broad kind (banks and savings institutions, credit unions or non-banks), originations between an eighth and eight times the lender's.
Written from the 2025 HMDA data and checked figure by figure against it.
FIG. 1 — LOANS ORIGINATED, 2018–2025
25,528 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Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. Kiavi Funding took 45,169 applications in 2025.
73.8% of its 2025 loans were purchase loans; 100.0% were Conventional.
Purchase 73.8% · Refinance 26.2% Conventional 100.0% · of 25,528 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
47 states, 361 metros, 1,142 counties
State
Loans
Share
California
3,237
12.7%
Florida
2,385
9.3%
Ohio
1,967
7.7%
Pennsylvania
1,829
7.2%
North Carolina
1,435
5.6%
Georgia
1,388
5.4%
Texas
1,379
5.4%
New Jersey
1,139
4.5%
Michigan
1,128
4.4%
Missouri
909
3.6%
Largest metro areas, 2025
Loans originated
Metro area
Loans
Philadelphia
794
Los Angeles-Long Beach-Glendale
754
Atlanta-Sandy Springs-Roswell
705
Detroit-Dearborn-Livonia
675
Kansas City
655
Cleveland
605
Las Vegas-Henderson-North Las Vegas
542
Riverside-San Bernardino-Ontario
471
Charlotte-Concord-Gastonia
464
Camden
456
Identifiers
LEI (Legal Entity Identifier, the global company code HMDA has used since 2018)
5493006VAGP3GQ8FJT49
2018–2025
RSSD (the Federal Reserve's identifier for banks and their parents)
5023910
2016–2023
Respondent ID (the HMDA filer code before 2018)
7463528270
Established 15 July 2013. Reported under HMDA 2015-2025.
Kiavi Funding 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.