Prosperity Home Mortgage is a home-purchase lender, with purchases 83.3% of its loans, that ranked 6 of 784 lenders in Philadelphia-Camden-Wilmington in 2025 while growing more slowly than most similar lenders.
Slower growth than similar lenders
Similar lenders are independent non-bank lenders making between half and twice as many loans. Its originations rose 4% to 20,869, against 14% at similar lenders and 10% for the whole market, slower than about seven in ten of them. It made 43,683 loans five years before and between 20,115 and 20,869 a year since 2023.
Ranked in the top 15 in three large markets
It ranked 6 of 784 lenders in Philadelphia-Camden-Wilmington, where CrossCountry Mortgage ranked first, 12 of 688 in Minneapolis-St. Paul-Bloomington and 15 of 610 in Hartford-West Hartford-East Hartford. Its share held at 1.7% in Hartford and was 1.8% in Minneapolis against 1.9% a year earlier.
Larger loans and fewer in LMI and majority-minority areas
Its typical loan was $335,000 against $285,000, and 3.3% were jumbo (larger than the conforming limit) against 1.3%. 16.8% of its loans were in LMI (low- and moderate-income) areas against 21.7%, lower than nearly nine in ten similar lenders, and 19.2% in majority-minority areas against 27.5%. Its larger loans and the markets it serves could account for some of this.
Few higher-priced loans
Only 1.0% of its loans were higher-priced (a rate well above the average for similar loans) against 5.7%, among the lowest tenth of similar lenders. FHA (insured by the Federal Housing Administration) loans were 15.9% of its lending against 26.3%, which fits a lower share of higher-priced loans.
Questions the data can answer next
How does its LMI and majority-minority lending compare with CrossCountry Mortgage's in Philadelphia-Camden-Wilmington, county by county?
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
20,869 loans in 2025, against a peak of 45,324 in 2021.
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. Prosperity Home Mortgage took 28,926 applications in 2025.
83.3% of its 2025 loans were purchase loans; 72.3% were Conventional.
Purchase 83.3% · Refinance 15.7% · Other 0.8% · Home improvement 0.1% Conventional 72.3% · FHA 15.9% · VA 11.5% · USDA (RHS or FSA) 0.3% · of 20,869 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
48 states, 321 metros, 1,185 counties
State
Loans
Share
Pennsylvania
2,325
11.1%
Virginia
2,141
10.3%
Minnesota
1,746
8.4%
North Carolina
1,281
6.1%
Maryland
1,233
5.9%
New Jersey
1,060
5.1%
Georgia
1,024
4.9%
Connecticut
862
4.1%
Wisconsin
782
3.7%
Arizona
775
3.7%
Largest metro areas, 2025
Loans originated
Metro area
Loans
Minneapolis-St. Paul-Bloomington
1,449
Philadelphia
953
Montgomery County-Bucks County-Chester County
875
Arlington-Alexandria-Reston
774
Kansas City
709
Atlanta-Sandy Springs-Roswell
605
Baltimore-Columbia-Towson
517
Richmond
514
Tucson
511
Chicago-Naperville-Schaumburg
440
Identifiers
LEI (Legal Entity Identifier, the global company code HMDA has used since 2018)
5493005PKOSG7MYX0B34
2018–2025
RSSD (the Federal Reserve's identifier for banks and their parents)
3882560
2010–2013
RSSD (the Federal Reserve's identifier for banks and their parents)
4741561
2014–2023
Respondent ID (the HMDA filer code before 2018)
7205216358
Respondent ID (the HMDA filer code before 2018)
77815800008
1995–2010
Established 23 June 2006. Reported under HMDA 1995-2025.
Prosperity Home Mortgage 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.