Sage Home Loans Corporation
Fort Mill, SC · What the federal mortgage record shows about how Sage Home Loans Corporation treated New Jersey applicants, 2018–2025 — 539 reported decisions. This is historical behavior, not a prediction about your loan.
Share of 539 New Jersey applications Sage Home Loans Corporation 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 Excludes loans it merely purchased on the secondary market, and applications withdrawn or left incomplete.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, Sage Home Loans Corporation’s rates ran -0.31 pp lower than the typical New Jersey lender (average rate spread -0.07 pp above the market benchmark). Rate spread is APR minus the average prime offer rate; positive means costlier than the low-risk benchmark.
Who Sage Home Loans Corporation approves
Why Sage Home Loans Corporation denied applications
Where Sage Home Loans Corporation lends in NJ
| County | Decisions | Approval |
|---|---|---|
| Bergen County | 57 | 78.9% |
| Middlesex County | 57 | 87.7% |
| Monmouth County | 45 | 91.1% |
| Burlington County | 39 | 94.9% |
| Morris County | 39 | 89.7% |
| Essex County | 38 | 81.6% |
| Ocean County | 36 | 91.7% |
| Hudson County | 33 | 81.8% |
Fees & closing costs
Median lender and third-party costs (the Loan Estimate’s “total loan costs”) on Sage Home Loans Corporation’s home-purchase originations — 0.82 points lower than the 1.93% New Jersey median. Typical lender credit toward costs: $898. Excludes prepaid taxes/insurance and escrow deposits. Fees are reported on roughly two-thirds of originations (small lenders are exempt). Methodology →
Compare Sage Home Loans Corporation 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 Sage Home Loans Corporation (LEI 549300LROQOOQU77WS20). Rates describe past reported outcomes for the lender’s applicant pool and are not a prediction for any individual. Methodology →