United Nations Federal Cu
Long Island City, NY · What the federal mortgage record shows about how United Nations Federal Cu treated New Jersey applicants, 2018–2025 — 1,411 reported decisions. This is historical behavior, not a prediction about your loan.
Share of 1,411 New Jersey applications United Nations Federal Cu 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 Excludes loans it merely purchased on the secondary market, and applications withdrawn or left incomplete.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, United Nations Federal Cu’s rates ran -0.37 pp lower than the typical New Jersey lender (average rate spread -0.15 pp above the market benchmark). Rate spread is APR minus the average prime offer rate; positive means costlier than the low-risk benchmark.
Who United Nations Federal Cu approves
Why United Nations Federal Cu denied applications
Where United Nations Federal Cu lends in NJ
| County | Decisions | Approval |
|---|---|---|
| Bergen County | 266 | 87.6% |
| Hudson County | 264 | 84.8% |
| Middlesex County | 204 | 89.2% |
| Essex County | 161 | 88.2% |
| Morris County | 86 | 91.9% |
| Monmouth County | 71 | 85.9% |
| Mercer County | 66 | 93.9% |
| Somerset County | 61 | 95.1% |
Fees & closing costs
Median lender and third-party costs (the Loan Estimate’s “total loan costs”) on United Nations Federal Cu’s home-purchase originations — 0.86 points lower than the 1.93% New Jersey median. Typical lender credit toward costs: $500. Excludes prepaid taxes/insurance and escrow deposits. Fees are reported on roughly two-thirds of originations (small lenders are exempt). Methodology →
Compare United Nations Federal Cu 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 United Nations Federal Cu (LEI 549300HCNXMTNGIMAR91). Rates describe past reported outcomes for the lender’s applicant pool and are not a prediction for any individual. Methodology →