Regent Financial Group Mortgage Lending & HMDA Data, 2022
In 2022, Regent Financial Group of Omaha, NE reported 1,062 mortgage applications totaling $232.6 million, down 49% from 2021. The average application was for $219,020, and applicants reported an average income of $93,513. 83% of its applications resulted in an originated loan and 2% were denied. Its largest markets were Omaha-Council Bluffs, NE-IA (551), Wichita, KS (145) and Duluth, MN-WI (87) (applications in parentheses).
| Mortgage Company & Address | Regent Financial Group 1910 S 72nd Street, Ste. 103 Omaha, NE 68135 Tel #: available with data download |
| Federal Regulator | * available with data download |
| Years | 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 |
| Total Number of Mortgage Applications | 1,062 |
| Total Mortgage Loan Application Amount | $232,600,000 |
| Average Mortgage Loan Application Amount | $219,020 |
| Highest Mortgage Loan Application Amount | $1,005,000 |
| Average Applicant Income | $93,513 |
| Highest Applicant Income | $773,000 |
About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Regent Financial Group filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans. Applications reported at $100 million or more are left out of these totals.
Mortgage Loan Application Detail Totals for Regent Financial Group in 2022
Loan Purpose |
Total Number of Mortgage Applications | Total Dollar Amount of Mortgage Loan Applications | Average Mortgage Loan Amount | Highest Mortgage Loan Amount | Average Applicant Income | Highest Applicant Income |
|---|---|---|---|---|---|---|
| Home Purchase | 917 | $203,895,000 | $222,000 | $1,005,000 | $95,000 | $773,000 |
| Home Improvement | 98 | $20,030,000 | $204,000 | $605,000 | $88,000 | $215,000 |
| Refinancing | 47 | $8,675,000 | $184,000 | $605,000 | $76,000 | $261,000 |
| Cash-out Refinancing | 0 | $0 | $0 | $0 | $0 | $0 |
| Not Applicable | 0 | $0 | $0 | $0 | $0 | $0 |
| Other Purpose | 0 | $0 | $0 | $0 | $0 | $0 |
Applicant Race |
Total Number of Mortgage Applications | Total Dollar Amount of Mortgage Loan Applications | Average Mortgage Loan Amount | Highest Mortgage Loan Amount | Average Applicant Income | Highest Applicant Income |
|---|---|---|---|---|---|---|
| White | 888 | $196,620,000 | $221,000 | $1,005,000 | $95,000 | $773,000 |
| Hispanic | 76 | $13,640,000 | $179,000 | $455,000 | $70,000 | $191,000 |
| Black or African American | 48 | $10,130,000 | $211,000 | $605,000 | $102,000 | $330,000 |
| Asian | 34 | $7,800,000 | $229,000 | $445,000 | $91,000 | $300,000 |
| American Indian or Alaskan Native | 12 | $3,240,000 | $270,000 | $645,000 | $93,000 | $146,000 |
| Native Hawaiian or Other Pacific Islander | 2 | $690,000 | $345,000 | $385,000 | $99,000 | $99,000 |
| Not Provided | 2 | $480,000 | $240,000 | $285,000 | $91,000 | $114,000 |
| Not applicable | 0 | $0 | $0 | $0 | $0 | $0 |
Loan Type |
Total Number of Mortgage Applications | Total Dollar Amount of Mortgage Loan Applications | Average Mortgage Loan Amount | Highest Mortgage Loan Amount | Average Applicant Income | Highest Applicant Income |
|---|---|---|---|---|---|---|
| Conventional (any loan other than FHA, VA, FSA, or RHS loans) | 709 | $151,805,000 | $214,000 | $1,005,000 | $99,000 | $773,000 |
| FHA-insured (Federal Housing Administration) | 246 | $50,860,000 | $206,000 | $425,000 | $76,000 | $330,000 |
| VA-guaranteed (Veterans Administration) | 98 | $28,350,000 | $289,000 | $925,000 | $98,000 | $386,000 |
| FSA/RHS (Farm Service Agency or Rural Housing Service) | 9 | $1,585,000 | $176,000 | $285,000 | $66,000 | $105,000 |
Outcome |
Total Number of Mortgage Applications | Total Dollar Amount of Mortgage Loan Applications | Average Mortgage Loan Amount | Highest Mortgage Loan Amount | Average Applicant Income | Highest Applicant Income |
|---|---|---|---|---|---|---|
| Loan Originated | 886 | $193,050,000 | $217,000 | $925,000 | $93,000 | $773,000 |
| Application Withdrawn By Applicant | 160 | $36,450,000 | $227,000 | $1,005,000 | $98,000 | $386,000 |
| Application Denied By Financial Institution | 16 | $3,100,000 | $193,000 | $385,000 | $62,000 | $158,000 |
| Application Approved But Not Accepted | 0 | $0 | $0 | $0 | $0 | $0 |
| File Closed For Incompleteness | 0 | $0 | $0 | $0 | $0 | $0 |
| Loan Purchased By The Institution | 0 | $0 | $0 | $0 | $0 | $0 |
| Preapproval Approved but not Accepted | 0 | $0 | $0 | $0 | $0 | $0 |
| Preapproval Denied by Financial Institution | 0 | $0 | $0 | $0 | $0 | $0 |
Denial Reason |
Total Number of Mortgage Applications | Total Dollar Amount of Mortgage Loan Applications | Average Mortgage Loan Amount | Highest Mortgage Loan Amount | Average Applicant Income | Highest Applicant Income |
|---|---|---|---|---|---|---|
| Not applicable | 1,046 | $229,500,000 | $219,000 | $1,005,000 | $94,000 | $773,000 |
| Debt-To-Income Ratio | 7 | $1,155,000 | $165,000 | $385,000 | $40,000 | $96,000 |
| Credit History | 5 | $915,000 | $183,000 | $225,000 | $88,000 | $158,000 |
| Insufficient Cash (Downpayment, Closing Cost) | 2 | $540,000 | $270,000 | $275,000 | $77,000 | $83,000 |
| Employment History | 1 | $275,000 | $275,000 | $275,000 | $56,000 | $56,000 |
| Collateral | 1 | $215,000 | $215,000 | $215,000 | $71,000 | $71,000 |
| Credit Application Incomplete | 0 | $0 | $0 | $0 | $0 | $0 |
| Mortgage Insurance Denied | 0 | $0 | $0 | $0 | $0 | $0 |
| Other | 0 | $0 | $0 | $0 | $0 | $0 |
| Unverifiable Information | 0 | $0 | $0 | $0 | $0 | $0 |
Our comprehensive HMDA mortgage statistics provide invaluable insights into Regent Financial Group's 2022 lending activity. By analyzing detailed data on mortgage applications, total loan amounts, applicant incomes, loan purposes, and approval rates, industry professionals, researchers, and analysts can gain a clear understanding of this lender's role in the mortgage market.
This in-depth HMDA data allows real estate experts, financial analysts, and policymakers to track lending trends, evaluate borrower demographics,
and assess Regent Financial Group's mortgage approval patterns.
Utilize this powerful dataset to analyze market performance, compare lending practices, and make data-driven decisions in the ever-changing mortgage industry.
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