Nvr Mortgage Finance, Inc.
Pittsburgh, PA · What the federal mortgage record shows about how Nvr Mortgage Finance, Inc. treated New Jersey applicants, 2018–2025 — 5,333 reported decisions. This is historical behavior, not a prediction about your loan.
Share of 5,333 New Jersey applications Nvr Mortgage Finance, Inc. 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 Excludes loans it merely purchased on the secondary market, and applications withdrawn or left incomplete.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, Nvr Mortgage Finance, Inc.’s rates ran -0.07 pp lower than the typical New Jersey lender (average rate spread +0.28 pp above the market benchmark). Rate spread is APR minus the average prime offer rate; positive means costlier than the low-risk benchmark.
Who Nvr Mortgage Finance, Inc. approves
Why Nvr Mortgage Finance, Inc. denied applications
Where Nvr Mortgage Finance, Inc. lends in NJ
| County | Decisions | Approval |
|---|---|---|
| Gloucester County | 1,564 | 85.5% |
| Camden County | 886 | 74.7% |
| Burlington County | 668 | 79.3% |
| Monmouth County | 419 | 75.9% |
| Morris County | 335 | 91.3% |
| Warren County | 295 | 87.8% |
| Sussex County | 190 | 86.8% |
| Ocean County | 183 | 86.9% |
Fees & closing costs
Median lender and third-party costs (the Loan Estimate’s “total loan costs”) on Nvr Mortgage Finance, Inc.’s home-purchase originations — 0.63 points higher than the 1.93% New Jersey median. Typical lender credit toward costs: $306. Excludes prepaid taxes/insurance and escrow deposits. Fees are reported on roughly two-thirds of originations (small lenders are exempt). Methodology →
Compare Nvr Mortgage Finance, Inc. to other lenders for your profile
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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 Nvr Mortgage Finance, Inc. (LEI 549300KBWX4NV5Q1E376). Rates describe past reported outcomes for the lender’s applicant pool and are not a prediction for any individual. Methodology →