East West Bank is a California lender of larger conventional loans whose originations rose 15% in 2025, with 75.6% of its loans in majority-minority areas, the highest share among similar lenders.
Concentrated in majority-minority and LMI areas
Similar lenders are state member banks making between half and twice as many loans. Its share in majority-minority areas, up from 67.3% five years before, compares with 17.8% for them. Loans in LMI (low- and moderate-income) areas were 24.8% against 15.1%, higher than nearly all of them, and to LMI borrowers 38.8% against 25.8%. Its markets, Los Angeles, San Francisco, Riverside and New York, may simply have many such areas.
Larger loans, all conventional
Its typical loan was $455,000 against $217,500, higher than nearly all similar lenders, and 10.5% of its loans were jumbo (larger than the conforming limit) against 5.1%. It made no FHA or VA loans. Almost none were higher-priced (a rate well above the average for similar loans): 0.0% against 1.8%. Its typical rate was 6.50% against 6.66%.
Growing again after two years of decline
Originations fell from 7,731 in 2022 to 4,622 in 2024, then rose 15% to 5,327, against 0% for similar lenders and 10% for the whole market, faster than more than four in five of them. Purchases were 66.7% of its loans, and it bought 961 loans where the typical similar lender bought 14. It entered Charlotte, Augusta and Corpus Christi in 2025, and its Riverside share rose to 0.8% from 0.6%.
Questions the data can answer next
Which tracts in Los Angeles and San Francisco hold most of its majority-minority lending, and how does its share there compare with competitors'?
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
5,327 loans in 2025, against a peak of 7,731 in 2022.
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. East West Bank took 7,455 applications in 2025.
66.7% of its 2025 loans were purchase loans; 100.0% were Conventional.
Purchase 66.7% · Refinance 18.3% · Other 9.1% · Home improvement 5.9% Conventional 100.0% · of 5,327 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
11 states, 44 metros, 82 counties
State
Loans
Share
California
3,261
61.2%
New York
799
15.0%
Nevada
278
5.2%
Massachusetts
268
5.0%
Georgia
247
4.6%
Washington
239
4.5%
Texas
225
4.2%
Arizona
5
0.1%
Hawaii
2
0.0%
New Jersey
2
0.0%
Largest metro areas, 2025
Loans originated
Metro area
Loans
Los Angeles-Long Beach-Glendale
1,250
New York-Jersey City-White Plains
795
Anaheim-Santa Ana-Irvine
704
Riverside-San Bernardino-Ontario
489
Las Vegas-Henderson-North Las Vegas
278
San Francisco-San Mateo-Redwood City
238
Oakland-Fremont-Berkeley
215
Atlanta-Sandy Springs-Roswell
194
Houston-Pasadena-The Woodlands
182
Seattle-Bellevue-Kent
178
Identifiers
LEI (Legal Entity Identifier, the global company code HMDA has used since 2018)
F28JOQ8OBWCFUYM0UX93
2018–2025
RSSD (the Federal Reserve's identifier for banks and their parents)
197478
2004–2023
Respondent ID (the HMDA filer code before 2018)
47276
1990–1994
Respondent ID (the HMDA filer code before 2018)
331628
1995–2003
Respondent ID (the HMDA filer code before 2018)
2197478
2004–2010
Respondent ID (the HMDA filer code before 2018)
9197478
2011–2017
Established 1 January 1972. Reported under HMDA 1990-2025.
East West 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.