Allied Mortgage Group, Inc
Bala Cynwyd, PA · What the federal mortgage record shows about how Allied Mortgage Group, Inc treated New Jersey applicants, 2018–2025 — 8,508 reported decisions. This is historical behavior, not a prediction about your loan.
Share of 8,508 New Jersey applications Allied Mortgage Group, 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 Excludes loans it merely purchased on the secondary market, and applications withdrawn or left incomplete.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, Allied Mortgage Group, Inc’s rates ran +0.16 pp higher than the typical New Jersey lender (average rate spread +0.66 pp above the market benchmark). Rate spread is APR minus the average prime offer rate; positive means costlier than the low-risk benchmark.
Who Allied Mortgage Group, Inc approves
Why Allied Mortgage Group, Inc denied applications
Where Allied Mortgage Group, Inc lends in NJ
| County | Decisions | Approval |
|---|---|---|
| Camden County | 2,106 | 94.3% |
| Burlington County | 1,578 | 94.7% |
| Gloucester County | 1,204 | 95.6% |
| Atlantic County | 554 | 92.8% |
| Cape May County | 406 | 96.3% |
| Mercer County | 358 | 94.1% |
| Middlesex County | 321 | 94.1% |
| Ocean County | 286 | 95.5% |
Fees & closing costs
Median lender and third-party costs (the Loan Estimate’s “total loan costs”) on Allied Mortgage Group, Inc’s home-purchase originations — 1.21 points higher than the 1.93% New Jersey median. Typical lender credit toward costs: $776. Excludes prepaid taxes/insurance and escrow deposits. Fees are reported on roughly two-thirds of originations (small lenders are exempt). Methodology →
Compare Allied Mortgage Group, 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 Allied Mortgage Group, Inc (LEI 549300RYWXR8TL5LIK35). Rates describe past reported outcomes for the lender’s applicant pool and are not a prediction for any individual. Methodology →