A home-improvement lender
Home improvement made up 81.3% of its 32 loans in 2025, and purchases only 3.1%. Its typical loan was $75,000, against $95,000 at similar lenders (credit unions making between half and twice as many loans).
Applications / Mortgage Analytics / Lenders / California / Priority One Credit Union
Priority One Credit Union
South Pasadena, CA · Credit union · NCUA · $207 million assets · 32 loans in 2025
Priority One Credit Union's data, $215Buy the data, $2,110Get Jenner, the SAS-compatible software
32
loans originated, 2025
55
applications, 2025
1
states and territories
0
gaps bigger than at similar lenders
Our analysis, 2025
Priority One Credit Union, a small South Pasadena credit union, makes mostly home-improvement loans, and nearly all its loans go to majority-minority neighborhoods.
Lending in minority neighborhoods
Of its loans, 96.9% went to majority-minority neighborhoods, against 9.7% at similar lenders, more than at almost all of them. The share was 93.0% in 2024, so the pattern is steady. It may simply reflect where its members live.
Higher rates on small loans
Its typical rate was 8.12%, against 6.75% at similar lenders. Its reliance on home-improvement loans might account for that.
A long but patchy record
It first reported in 1995 and lends in Los Angeles, Riverside-San Bernardino and Bakersfield, where its share rounds to nothing. It filed no report for 2019 to 2021. Its loans fell from 43 to 32 in 2025, too few to read much into.
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
32 loans in 2025, against a peak of 50 in 2022.
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted.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. Priority One Credit Union took 55 applications in 2025.
SOURCE: FFIEC HMDA, LOANS ORIGINATED (ACTION TAKEN: LOAN ORIGINATED)
FIG. 2 — PRODUCT MIX, 2025
81.3% of its 2025 loans were home improvement loans; all were conventional loans.
Home improvement 81.3% · Other 15.6% · Purchase 3.1%
Conventional 100.0% · of 32 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
1 state, 3 metros, 4 counties
| State | Loans | Share |
|---|---|---|
| California | 32 | 100.0% |
Largest metro areas, 2025
Loans originated
| Metro area | Loans |
|---|---|
| Los Angeles-Long Beach-Glendale | 26 |
| Riverside-San Bernardino-Ontario | 5 |
| Bakersfield-Delano | 1 |
Identifiers
| LEI (Legal Entity Identifier, the global company code HMDA has used since 2018) | 549300463UZU06Q14K24 | 2018–2025 |
| RSSD (the Federal Reserve's identifier for banks and their parents) | 605599 | 2004–2023 |
| Respondent ID (the HMDA filer code before 2018) | 560024 | 1995–2017 |
Established 1 January 1929. Reported under HMDA 1995-2025.
Mergers, name changes, data editions and corrections: Priority One Credit Union's data.
The data and the software behind these pages
Priority One Credit Union's data
$215
Priority One 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 Priority One 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]