First Internet Bank Of Indiana
Fishers, IN · What the federal mortgage record shows about how First Internet Bank Of Indiana treated New Jersey applicants, 2018–2025 — 373 reported decisions. This is historical behavior, not a prediction about your loan.
Share of 373 New Jersey applications First Internet Bank Of Indiana 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 Excludes loans it merely purchased on the secondary market, and applications withdrawn or left incomplete.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, First Internet Bank Of Indiana’s rates ran -0.22 pp lower than the typical New Jersey lender (average rate spread +0.06 pp above the market benchmark). Rate spread is APR minus the average prime offer rate; positive means costlier than the low-risk benchmark.
Who First Internet Bank Of Indiana approves
Why First Internet Bank Of Indiana denied applications
Where First Internet Bank Of Indiana lends in NJ
| County | Decisions | Approval |
|---|---|---|
| Bergen County | 53 | 84.9% |
| Middlesex County | 38 | 71.1% |
| Essex County | 33 | 87.9% |
| Morris County | 31 | 90.3% |
| Union County | 26 | 73.1% |
Fees & closing costs
Median lender and third-party costs (the Loan Estimate’s “total loan costs”) on First Internet Bank Of Indiana’s home-purchase originations — 0.41 points lower than the 1.93% New Jersey median. Typical lender credit toward costs: $910. Excludes prepaid taxes/insurance and escrow deposits. Fees are reported on roughly two-thirds of originations (small lenders are exempt). Methodology →
Compare First Internet Bank Of Indiana to other lenders for your profile
Enter your income, county, DTI and down payment to see who approves borrowers like you.
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 First Internet Bank Of Indiana (LEI 549300B81YWV4GBENI49). Rates describe past reported outcomes for the lender’s applicant pool and are not a prediction for any individual. Methodology →