University National Bank of Lawrence, the Mortgage Lending & HMDA Data, 2005
In 2005, University National Bank of Lawrence, the of Lawrence, KS reported 573 mortgage applications totaling $83.2 million, down 5% from 2004. The average application was for $145,197, and applicants reported an average income of $61,345. 87% of its applications resulted in an originated loan and 3% were denied. Its largest market was Lawrence, KS (443).
| Mortgage Company & Address | University National Bank of Lawrence, the Po Box 1777 Lawrence, KS 66044 Tel #: available with data download |
| Federal Regulator | * available with data download |
| Years | 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 |
| Total Number of Mortgage Applications | 573 |
| Total Mortgage Loan Application Amount | $83,198,000 |
| Average Mortgage Loan Application Amount | $145,197 |
| Highest Mortgage Loan Application Amount | $1,700,000 |
| Average Applicant Income | $61,345 |
| Highest Applicant Income | $888,000 |
About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records University National Bank of Lawrence, the filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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.
| Metro Area | Total Number of Mortgage Loan Applications | Total Dollar Amount of Mortgage Loan Applications | Average Mortgage Loan Application Amount | Average Applicant Income |
|---|---|---|---|---|
| Lawrence, KS | 443 | $ 62,073,000 | $ 140,119 | $ 62,000 |
Mortgage Loan Application Detail Totals for University National Bank of Lawrence, the in 2005
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 | 282 | $43,091,000 | $158,500 | $1,700,000 | $65,500 | $811,000 |
| Refinancing | 279 | $39,575,000 | $146,500 | $579,000 | $51,500 | $888,000 |
| Home Improvement | 12 | $532,000 | $56,500 | $95,000 | $77,000 | $347,000 |
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 | 494 | $72,287,000 | $149,000 | $579,000 | $86,500 | $888,000 |
| Not applicable | 24 | $4,212,000 | $196,000 | $1,700,000 | $500 | $39,000 |
| Not Provided | 23 | $2,614,000 | $108,500 | $385,000 | $71,500 | $224,000 |
| Asian | 14 | $2,113,000 | $150,000 | $430,000 | $26,000 | $76,000 |
| Hispanic | 12 | $1,368,000 | $121,500 | $231,000 | $31,000 | $113,000 |
| Black or African American | 6 | $604,000 | $100,000 | $168,000 | $89,000 | $129,000 |
| Native Hawaiian or Other Pacific Islander | 0 | $0 | $0 | $0 | $0 | $0 |
| American Indian or Alaskan Native | 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) | 573 | $83,198,000 | $151,000 | $1,700,000 | $61,000 | $888,000 |
| 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 | 500 | $72,541,000 | $151,000 | $1,700,000 | $73,000 | $888,000 |
| Application Withdrawn By Applicant | 54 | $7,661,000 | $153,000 | $345,000 | $72,000 | $305,000 |
| Application Denied By Financial Institution | 19 | $2,996,000 | $158,000 | $385,000 | $30,500 | $120,000 |
| 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 |
|---|---|---|---|---|---|---|
| Credit History | 10 | $1,431,000 | $140,000 | $385,000 | $27,000 | $74,000 |
| Other | 4 | $787,000 | $196,000 | $206,000 | $0 | $0 |
| Debt-To-Income Ratio | 3 | $538,000 | $191,500 | $228,000 | $60,000 | $120,000 |
| Employment History | 1 | $100,000 | $100,000 | $100,000 | $0 | $0 |
| Collateral | 1 | $140,000 | $140,000 | $140,000 | $42,000 | $42,000 |
| Credit Application Incomplete | 0 | $0 | $0 | $0 | $0 | $0 |
| Unverifiable Information | 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 |
Our comprehensive HMDA mortgage statistics provide invaluable insights into University National Bank of Lawrence, the's 2005 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 University National Bank of Lawrence, the'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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