Million-dollar loans
Its typical loan was larger than at nearly all similar lenders, meaning savings institutions making between half and twice as many loans. On 71 loans, close to their 72, it lent $100.6 million, against their $24.9 million.
Applications / Mortgage Analytics / Lenders / California / Malaga Bank
Palos Verdes Peninsula, CA · Savings institution · OCC · $1.4 billion assets · 71 loans in 2025
Malaga Bank's data, $215Buy the data, $2,110Get Jenner, the SAS-compatible software
71
loans originated, 2025
83
applications, 2025
1
states and territories
0
gaps bigger than at similar lenders
Our analysis, 2025
Malaga Bank makes few loans but very large ones, most of them in majority-minority neighborhoods: its typical loan was $1.2 million in 2025, against $245,000 at similar lenders.
Its typical loan was larger than at nearly all similar lenders, meaning savings institutions making between half and twice as many loans. On 71 loans, close to their 72, it lent $100.6 million, against their $24.9 million.
Majority-minority neighborhoods took 59.2% of its loans, against 7.0% at similar lenders, higher than nearly all of them. Poorer neighborhoods (low- and moderate-income, or LMI, tracts) took 40.0%, against 17.2%.
None of its loans went to LMI borrowers, against 25.5% at similar lenders, and the share was also 0.0% in 2024 and 2020. Loans of this size rarely fit the incomes that define LMI. Whether borrower incomes are recorded on these loans at all is the obvious question, given how much it lends in LMI tracts.
It has reported since at least 1990. Its loans rose 6% in 2025, against 3% at similar lenders. Home purchases made up 59.2% of its loans and refinances 38.0%. Its count has ranged from 148 in 2019 to 43 in 2023.
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Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. Malaga Bank took 83 applications in 2025.
SOURCE: FFIEC HMDA, LOANS ORIGINATED (ACTION TAKEN: LOAN ORIGINATED)
FIG. 2 — PRODUCT MIX, 2025
Purchase 59.2% · Refinance 38.0% · Home improvement 2.8%
Conventional 100.0% · of 71 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 |
|---|---|---|
| California | 71 | 100.0% |
Largest metro areas, 2025
| Metro area | Loans |
|---|---|
| Los Angeles-Long Beach-Glendale | 52 |
| San Diego-Chula Vista-Carlsbad | 11 |
| Anaheim-Santa Ana-Irvine | 7 |
| Oxnard-Thousand Oaks-Ventura | 1 |
Identifiers
| LEI (Legal Entity Identifier, the global company code HMDA has used since 2018) | 549300PTYDNRSYG5A828 | 2018–2025 |
| RSSD (the Federal Reserve's identifier for banks and their parents) | 773470 | 2004–2023 |
| Respondent ID (the HMDA filer code before 2018) | 48089 | 1990–2010 |
| Respondent ID (the HMDA filer code before 2018) | 1708089 | 2011–2017 |
Established 8 March 1985. Reported under HMDA 1990-2025.
Mergers, name changes, data editions and corrections: Malaga Bank's data.
Malaga Bank's data
$215
Malaga 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 Malaga 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]