City National Bank is a Los Angeles lender of large loans whose 2025 originations more than doubled, the fastest growth among similar national banks.
A sharp rebound from a low 2024
Originations rose 148% to 3,375 from 1,363, the highest growth among similar lenders (national banks making between half and twice as many loans), whose typical growth was 7%, against 10% for the whole market. Its $4.28 billion in loans was higher than nearly all peers. It remains below the 6,370 loans of 2021. It also bought 832 loans, down from 1,333.
A jumbo lender at low rates
Its typical loan was $845,000 against $220,000 at peers, and 35.6% of its loans were jumbo (larger than the conforming limit), against 3.9%, though down from 63.8% five years before. Its typical rate of 5.95% was lower than more than four in five peers, and only 0.1% of loans were higher-priced (a rate well above the average for similar loans).
Majority-minority areas, few LMI borrowers
51.3% of its loans were in majority-minority tracts, against 10.6%, the highest among peers and up from 11.8% five years before. Low- and moderate-income (LMI) borrowers took 4.0%, against 25.5%, among the lowest tenth, which could reflect its loan sizes and a footprint centred on Los Angeles, San Francisco and San Jose.
Gaining in San Jose
It ranks 11 of 757 lenders in Los Angeles-Long Beach-Anaheim and 28 of 606 in San Francisco-Oakland-Fremont. In San Jose-Sunnyvale-Santa Clara its share rose 1.2 points to 1.3%, now 12 of 459.
Questions the data can answer next
Which tracts and loan types account for its rise in majority-minority lending since 2020?
How do its purchased loans compare with its own originations by area?
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
3,375 loans in 2025, against a peak of 6,370 in 2021.
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. City National Bank took 5,237 applications in 2025.
62.3% of its 2025 loans were purchase loans; 100.0% were Conventional.
Purchase 62.3% · Refinance 25.8% · Other 7.4% · Home improvement 4.5% Conventional 100.0% · of 3,375 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
46 states, 130 metros, 241 counties
State
Loans
Share
California
2,576
76.3%
Washington
175
5.2%
New York
146
4.3%
Tennessee
73
2.2%
New Jersey
35
1.0%
Florida
32
0.9%
Nevada
27
0.8%
Colorado
25
0.7%
Arizona
24
0.7%
Texas
23
0.7%
Largest metro areas, 2025
Loans originated
Metro area
Loans
Los Angeles-Long Beach-Glendale
1,416
Riverside-San Bernardino-Ontario
264
Anaheim-Santa Ana-Irvine
236
San Jose-Sunnyvale-Santa Clara
191
Oakland-Fremont-Berkeley
161
Seattle-Bellevue-Kent
155
New York-Jersey City-White Plains
115
San Francisco-San Mateo-Redwood City
92
San Diego-Chula Vista-Carlsbad
78
Nashville-Davidson--Murfreesboro--Franklin
70
Identifiers
LEI (Legal Entity Identifier, the global company code HMDA has used since 2018)
593C3GZG957YOJPS2Z63
2018–2025
RSSD (the Federal Reserve's identifier for banks and their parents)
63069
2004–2023
Respondent ID (the HMDA filer code before 2018)
114695
1990–2010
Respondent ID (the HMDA filer code before 2018)
963069
2011–2017
Established 4 December 1953. Reported under HMDA 1990-2025.
City National 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.
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.