In 2007, United Bank & Trust of Rockmart, GA reported 117 mortgage applications totaling $8.1 million, up 3% from 2006. The average application was for $69,256, and applicants reported an average income of $89,008. 92% of its applications resulted in an originated loan and 4% were denied. Its largest markets were Atlanta-Sandy Springs-Marietta, GA (30), Rome, GA (8) and Dalton, GA (1) (applications in parentheses).
| Mortgage Company & Address | United Bank & Trust P.O. Box 485 Rockmart, GA 30153 Tel #: available with data download |
| Federal Regulator | * available with data download |
| Years | 2007 2006 2005 2004 2003 |
| Total Number of Mortgage Applications | 117 |
| Total Mortgage Loan Application Amount | $8,103,000 |
| Average Mortgage Loan Application Amount | $69,256 |
| Highest Mortgage Loan Application Amount | $590,000 |
| Average Applicant Income | $89,008 |
| Highest Applicant Income | $2,638,000 |
About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records United Bank & Trust filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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.
| County | Total Number of Mortgage Loan Applications | Total Dollar Amount of Mortgage Loans Applications | Average Mortgage Loan Application Amount | Average Applicant Income |
|---|---|---|---|---|
| Polk, Georgia | 78 | $ 4,555,000 | $ 58,397 | $ 88,000 |
| Bartow, Georgia | 25 | $ 2,622,000 | $ 104,880 | $ 107,000 |
| Floyd, Georgia | 8 | $ 607,000 | $ 75,875 | $ 36,000 |
| Haralson, Georgia | 2 | $ 86,000 | $ 43,000 | $ 29,000 |
| Carroll, Georgia | 1 | $ 18,000 | $ 18,000 | $ 18,000 |
| Douglas, Georgia | 1 | $ 98,000 | $ 98,000 | $ 450,000 |
| Fulton, Georgia | 1 | $ 9,000 | $ 9,000 | $ 67,000 |
| Murray, Georgia | 1 | $ 108,000 | $ 108,000 | $ 0 |
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 |
|---|---|---|---|---|---|---|
| Refinancing | 87 | $6,324,000 | $72,000 | $457,000 | $104,000 | $2,638,000 |
| Home Purchase | 16 | $1,596,000 | $99,000 | $590,000 | $39,000 | $111,000 |
| Home Improvement | 14 | $183,000 | $13,000 | $40,000 | $53,000 | $284,000 |
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 | 97 | $5,658,000 | $58,000 | $457,000 | $92,000 | $2,638,000 |
| Not applicable | 17 | $2,214,000 | $130,000 | $590,000 | $82,000 | $955,000 |
| Not Provided | 1 | $125,000 | $125,000 | $125,000 | $70,000 | $70,000 |
| American Indian or Alaskan Native | 1 | $66,000 | $66,000 | $66,000 | $59,000 | $59,000 |
| Black or African American | 1 | $40,000 | $40,000 | $40,000 | $0 | $0 |
| Hispanic | 0 | $0 | $0 | $0 | $0 | $0 |
| Native Hawaiian or Other Pacific Islander | 0 | $0 | $0 | $0 | $0 | $0 |
| Asian | 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) | 117 | $8,103,000 | $69,000 | $590,000 | $89,000 | $2,638,000 |
| FHA-insured (Federal Housing Administration) | 0 | $0 | $0 | $0 | $0 | $0 |
| FSA/RHS (Farm Service Agency or Rural Housing Service) | 0 | $0 | $0 | $0 | $0 | $0 |
| VA-guaranteed (Veterans Administration) | 0 | $0 | $0 | $0 | $0 | $0 |
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 | 108 | $7,653,000 | $70,000 | $590,000 | $96,000 | $2,638,000 |
| Application Denied By Financial Institution | 5 | $250,000 | $50,000 | $160,000 | $20,000 | $30,000 |
| Application Withdrawn By Applicant | 3 | $160,000 | $53,000 | $80,000 | $9,000 | $27,000 |
| File Closed For Incompleteness | 1 | $40,000 | $40,000 | $40,000 | $0 | $0 |
| Application Approved But Not Accepted | 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 |
|---|---|---|---|---|---|---|
| Credit History | 3 | $85,000 | $28,000 | $60,000 | $21,000 | $27,000 |
| Debt-To-Income Ratio | 2 | $165,000 | $82,000 | $160,000 | $19,000 | $30,000 |
| Employment History | 0 | $0 | $0 | $0 | $0 | $0 |
| Insufficient Cash (Downpayment, Closing Cost) | 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 |
| Collateral | 0 | $0 | $0 | $0 | $0 | $0 |
| Credit Application Incomplete | 0 | $0 | $0 | $0 | $0 | $0 |
Our comprehensive HMDA mortgage statistics provide invaluable insights into United Bank & Trust's 2007 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 United Bank & Trust'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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