Applications / Mortgage Analytics / Lenders / Connecticut / First World Mortgage
Hartford, CT · Independent non-bank lender · CFPB · 2,050 loans in 2025
First World Mortgage's data, $215Buy the data, $2,110Get Jenner, the SAS-compatible software
2,050
loans originated, 2025
2,388
applications, 2025
4
states and territories
0
gaps bigger than at similar lenders
Our analysis, 2025
First World Mortgage, a Hartford non-bank lender, makes home-purchase loans to low- and moderate-income buyers far more than similar lenders do, and ranks fifth in its home market.
In 2025, 60.2% of its loans went to low- and moderate-income (LMI) borrowers, against 28.2% at similar lenders, independent non-bank lenders making between half and twice as many loans. That was higher than almost all of them. It also made 30.9% of its loans in LMI neighborhoods, against 19.1%. Its typical loan, $255,000, was smaller than their $315,000.
Purchases made up 94.6% of its loans and refinancing only 5.4%. It leans on conventional loans, 82.7% against 68.9% at similar lenders, and less on loans insured by the Federal Housing Administration (FHA), 15.6% against 22.3%. It made no manufactured-home loans. Its typical rate, 6.49%, was lower than at about four in five similar lenders.
It ranked 5 of 464 lenders in Hartford-West Hartford-East Hartford, CT, with 3.9% of the market, down from 4.2%. Liberty Bank led. Its loan count rose only 1%, against 9% at similar lenders and 10% for the whole market, so rivals may simply have grown faster. Its share of Norwich-New London-Willimantic rose to 0.9% from 0.4%.
It first reported in 2017. Its count peaked at 2,878 in 2021 and has held near 2,050 for two years.
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Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. First World Mortgage took 2,388 applications in 2025.
SOURCE: FFIEC HMDA, LOANS ORIGINATED (ACTION TAKEN: LOAN ORIGINATED)
FIG. 2 — PRODUCT MIX, 2025
Purchase 94.6% · Refinance 5.4%
Conventional 82.7% · FHA 15.6% · VA 1.8% · of 2,050 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 |
|---|---|---|
| Connecticut | 2,009 | 98.0% |
| Massachusetts | 32 | 1.6% |
| Florida | 8 | 0.4% |
| Rhode Island | 1 | 0.0% |
Largest metro areas, 2025
| Metro area | Loans |
|---|---|
| Hartford-West Hartford-East Hartford | 1,274 |
| New Haven | 403 |
| Norwich-New London-Willimantic | 76 |
| Bridgeport-Stamford-Danbury | 62 |
| Worcester | 44 |
| Springfield | 17 |
| Amherst Town-Northampton | 4 |
| Boston | 2 |
| Cambridge-Newton-Framingham | 2 |
| Palm Bay-Melbourne-Titusville | 2 |
Identifiers
| LEI (Legal Entity Identifier, the global company code HMDA has used since 2018) | 549300HYHFCULSUBAE54 | 2018–2025 |
| Respondent ID (the HMDA filer code before 2018) | 761341084 |
Established 1 May 1992. Reported under HMDA 2017-2025.
Mergers, name changes, data editions and corrections: First World Mortgage's data.
First World Mortgage's data
$215
First World 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.
Buy First World Mortgage'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]