In 2009, German-American State Bank of German Valley, IL reported 125 mortgage applications totaling $7.9 million, down 17% from 2008. The average application was for $63,232, and applicants reported an average income of $77,592. 94% of its applications resulted in an originated loan and 6% were denied. Its largest markets were Rockford, IL (65) and Chicago-Naperville-Joliet, IL (1).
| Mortgage Company & Address | German-American State Bank 100 Church Street German Valley, IL 61039 Tel #: available with data download |
| Federal Regulator | * available with data download |
| Years | 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 |
| Total Number of Mortgage Applications | 125 |
| Total Mortgage Loan Application Amount | $7,904,000 |
| Average Mortgage Loan Application Amount | $63,232 |
| Highest Mortgage Loan Application Amount | $972,000 |
| Average Applicant Income | $77,592 |
| Highest Applicant Income | $529,000 |
About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records German-American State Bank filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 |
|---|---|---|---|---|
| Winnebago, Illinois | 61 | $ 3,615,000 | $ 59,262 | $ 84,000 |
| Stephenson, Illinois | 31 | $ 2,151,000 | $ 69,387 | $ 73,000 |
| Ogle, Illinois | 25 | $ 959,000 | $ 38,360 | $ 66,000 |
| Boone, Illinois | 4 | $ 72,000 | $ 18,000 | $ 47,000 |
| Whiteside, Illinois | 2 | $ 14,000 | $ 7,000 | $ 57,000 |
| McHenry, Illinois | 1 | $ 972,000 | $ 972,000 | $ 296,000 |
| Juneau, Wisconsin | 1 | $ 121,000 | $ 121,000 | $ 46,000 |
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 Improvement | 48 | $605,000 | $12,000 | $100,000 | $56,000 | $144,000 |
| Refinancing | 43 | $5,366,000 | $124,000 | $972,000 | $99,000 | $529,000 |
| Home Purchase | 34 | $1,933,000 | $56,000 | $210,000 | $81,000 | $145,000 |
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 | 122 | $7,829,000 | $64,000 | $972,000 | $74,000 | $529,000 |
| Not applicable | 2 | $69,000 | $34,000 | $39,000 | $288,000 | $499,000 |
| Not Provided | 1 | $6,000 | $6,000 | $6,000 | $135,000 | $135,000 |
| American Indian or Alaskan Native | 0 | $0 | $0 | $0 | $0 | $0 |
| Asian | 0 | $0 | $0 | $0 | $0 | $0 |
| Black or African American | 0 | $0 | $0 | $0 | $0 | $0 |
| Hispanic | 0 | $0 | $0 | $0 | $0 | $0 |
| Native Hawaiian or Other Pacific Islander | 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) | 125 | $7,904,000 | $63,000 | $972,000 | $78,000 | $529,000 |
| 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 | 117 | $7,337,000 | $62,000 | $972,000 | $78,000 | $529,000 |
| Application Denied By Financial Institution | 7 | $487,000 | $69,000 | $145,000 | $70,000 | $110,000 |
| Application Withdrawn By Applicant | 1 | $80,000 | $80,000 | $80,000 | $75,000 | $75,000 |
| File Closed For Incompleteness | 0 | $0 | $0 | $0 | $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 | 4 | $384,000 | $96,000 | $145,000 | $84,000 | $110,000 |
| Debt-To-Income Ratio | 1 | $78,000 | $78,000 | $78,000 | $45,000 | $45,000 |
| Collateral | 1 | $10,000 | $10,000 | $10,000 | $27,000 | $27,000 |
| 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 German-American State Bank's 2009 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 German-American State Bank'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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