Fm Home Loans Llc
Brooklyn, NY · What the federal mortgage record shows about how Fm Home Loans Llc treated New Jersey applicants, 2018–2025 — 7,891 reported decisions. This is historical behavior, not a prediction about your loan.
Share of 7,891 New Jersey applications Fm Home Loans Llc approved vs. denied. Excludes loans it merely purchased on the secondary market, and applications withdrawn or left incomplete.
Approval rate by loan type
“NJ” = the statewide average approval rate for that loan type, for comparison.
Approval rate over time
Pricing
Adjusting for its loan-type mix, Fm Home Loans Llc’s rates ran +0.12 pp higher than the typical New Jersey lender (average rate spread +0.36 pp above the market benchmark). Rate spread is APR minus the average prime offer rate; positive means costlier than the low-risk benchmark.
Who Fm Home Loans Llc approves
Why Fm Home Loans Llc denied applications
Where Fm Home Loans Llc lends in NJ
| County | Decisions | Approval |
|---|---|---|
| Ocean County | 4,296 | 98.8% |
| Monmouth County | 1,055 | 97.4% |
| Passaic County | 706 | 98.0% |
| Bergen County | 678 | 98.1% |
| Essex County | 349 | 98.3% |
| Union County | 204 | 96.1% |
| Hudson County | 203 | 96.1% |
| Middlesex County | 127 | 97.6% |
Fees & closing costs
Median lender and third-party costs (the Loan Estimate’s “total loan costs”) on Fm Home Loans Llc’s home-purchase originations — 0.48 points lower than the 1.93% New Jersey median. Typical lender credit toward costs: $375. Excludes prepaid taxes/insurance and escrow deposits. Fees are reported on roughly two-thirds of originations (small lenders are exempt). Methodology →
Compare Fm Home Loans Llc to other lenders for your profile
Enter your income, county, DTI and down payment to see who approves borrowers like you.
Open the approval tool →Source: CFPB HMDA loan-level data, 2018–2025 · first-lien, closed-end mortgages on 1–4 family homes in New Jersey reported by Fm Home Loans Llc (LEI 254900ACUWEGW702BR80). Rates describe past reported outcomes for the lender’s applicant pool and are not a prediction for any individual. Methodology →