Old Second Bank Kane County Mortgage Lending & HMDA Data, 2003
In 2003, Old Second Bank Kane County of Elburn, IL reported 231 mortgage applications totaling $38.0 million. The average application was for $164,294, and applicants reported an average income of $105,298. 91% of its applications resulted in an originated loan and 4% were denied. Its largest markets were Chicago, IL (216), Rockford, IL (7) and Grand Rapids-Muskegon-Holland, MI (1) (applications in parentheses).
| Mortgage Company & Address | Old Second Bank Kane County 749 North Main St. Elburn, IL 60119 Tel #: available with data download |
| Federal Regulator | * available with data download |
| Years | 2006 2005 2004 2003 |
| Total Number of Mortgage Applications | 231 |
| Total Mortgage Loan Application Amount | $37,952,000 |
| Average Mortgage Loan Application Amount | $164,294 |
| Highest Mortgage Loan Application Amount | $1,440,000 |
| Average Applicant Income | $105,298 |
| Highest Applicant Income | $4,149,000 |
About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Old Second Bank Kane County filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 |
|---|---|---|---|---|
| Chicago, IL | 216 | $ 36,219,000 | $ 167,680 | $ 133,000 |
| Rockford, IL | 7 | $ 950,000 | $ 135,714 | $ 43,000 |
| Grand Rapids-Muskegon-Holland, MI | 1 | $ 62,000 | $ 62,000 | $ 110,000 |
Mortgage Loan Application Detail Totals for Old Second Bank Kane County in 2003
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 (home purchase or home improvement, one-to-four family) | 153 | $22,441,000 | $92,500 | $533,000 | $60,000 | $438,000 |
| Home Purchase (one-to-four family) | 53 | $11,079,000 | $128,250 | $1,440,000 | $114,500 | $4,149,000 |
| Home Improvement (one-to-four family) | 14 | $317,000 | $22,000 | $70,000 | $74,000 | $152,000 |
| Multifamily dwelling (home purchase, home improvement, and refinancings) | 11 | $4,115,000 | $374,000 | $950,000 | $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 | 212 | $31,410,000 | $101,500 | $950,000 | $62,250 | $438,000 |
| Hispanic | 9 | $1,474,000 | $163,000 | $400,000 | $70,000 | $152,000 |
| Not applicable | 6 | $3,053,000 | $508,000 | $1,440,000 | $560,000 | $4,149,000 |
| Other | 3 | $815,000 | $271,000 | $360,000 | $15,000 | $30,000 |
| Asian or Pacific Islander | 1 | $1,200,000 | $1,200,000 | $1,200,000 | $682,000 | $682,000 |
| Black | 0 | $0 | $0 | $0 | $0 | $0 |
| Information not provided by applicant in mail or telephone application | 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) | 231 | $37,952,000 | $105,500 | $1,440,000 | $75,000 | $4,149,000 |
| 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 | 211 | $34,236,000 | $108,500 | $1,440,000 | $88,500 | $4,149,000 |
| Application Denied By Financial Institution | 10 | $1,599,000 | $105,000 | $480,000 | $18,500 | $60,000 |
| Application Withdrawn By Applicant | 5 | $717,000 | $143,000 | $273,000 | $52,000 | $103,000 |
| Application Approved But Not Accepted | 5 | $1,400,000 | $280,000 | $950,000 | $36,000 | $76,000 |
| File Closed For Incompleteness | 0 | $0 | $0 | $0 | $0 | $0 |
| Loan Purchased By The 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 |
|---|---|---|---|---|---|---|
| Debt-To-Income Ratio | 7 | $1,347,000 | $192,000 | $480,000 | $25,000 | $60,000 |
| Credit History | 3 | $252,000 | $72,000 | $132,000 | $27,000 | $48,000 |
| Collateral | 0 | $0 | $0 | $0 | $0 | $0 |
| Credit Application Incomplete | 0 | $0 | $0 | $0 | $0 | $0 |
| 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 |
Our comprehensive HMDA mortgage statistics provide invaluable insights into Old Second Bank Kane County's 2003 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 Old Second Bank Kane County'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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