Univest Bank And Trust Co.
Souderton, PA · What the federal mortgage record shows about how Univest Bank And Trust Co. treated New Jersey applicants, 2018–2025 — 891 reported decisions. This is historical behavior, not a prediction about your loan.
Share of 891 New Jersey applications Univest Bank And Trust Co. 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 Excludes loans it merely purchased on the secondary market, and applications withdrawn or left incomplete.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, Univest Bank And Trust Co.’s rates ran +0.04 pp higher 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 Univest Bank And Trust Co. approves
Why Univest Bank And Trust Co. denied applications
Where Univest Bank And Trust Co. lends in NJ
| County | Decisions | Approval |
|---|---|---|
| Cape May County | 204 | 99.5% |
| Atlantic County | 110 | 98.2% |
| Camden County | 99 | 98.0% |
| Burlington County | 82 | 97.6% |
| Monmouth County | 74 | 100.0% |
| Mercer County | 69 | 98.6% |
| Ocean County | 57 | 98.2% |
| Gloucester County | 41 | 97.6% |
Fees & closing costs
Median lender and third-party costs (the Loan Estimate’s “total loan costs”) on Univest Bank And Trust Co.’s home-purchase originations — 0.47 points lower than the 1.93% New Jersey median. Typical lender credit toward costs: $202. Excludes prepaid taxes/insurance and escrow deposits. Fees are reported on roughly two-thirds of originations (small lenders are exempt). Methodology →
Compare Univest Bank And Trust Co. 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 Univest Bank And Trust Co. (LEI 549300LBK5BTNFKZJD14). Rates describe past reported outcomes for the lender’s applicant pool and are not a prediction for any individual. Methodology →