Greatbank Mortgage Lending & HMDA Data, 2006

In 2006, Greatbank of Algonquin, IL reported 956 mortgage applications totaling $25.3 million, up 331% from 2005. The average application was for $26,426, and applicants reported an average income of $65,901. 48% of its applications resulted in an originated loan and 28% were denied. Its largest markets were Chicago-Naperville-Joliet, IL (907), Lake County-Kenosha County, IL-WI (23) and Columbus, OH (2) (applications in parentheses).

Mortgage Company & Address Greatbank
234 South Randall Road
Algonquin, IL 60102
Tel #: available with data download
Federal Regulator * available with data download
Years 2006  2005  2004  2003  
Total Number of Mortgage Applications 956
Total Mortgage Loan Application Amount $25,264,000
Average Mortgage Loan Application Amount $26,426
Highest Mortgage Loan Application Amount $750,000
Average Applicant Income $65,901
Highest Applicant Income $446,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Greatbank filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Totals for Greatbank by County in 2006

County Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loans Applications Average Mortgage Loan Application Amount Average Applicant Income
Cook, Illinois 834 $ 12,624,000 $ 15,136 $ 64,000
McHenry, Illinois 28 $ 4,278,000 $ 152,785 $ 89,000
Lake, Illinois 23 $ 497,000 $ 21,608 $ 66,000
Will, Illinois 19 $ 777,000 $ 40,894 $ 68,000
Kane, Illinois 14 $ 654,000 $ 46,714 $ 71,000
DuPage, Illinois 10 $ 661,000 $ 66,100 $ 69,000
DeKalb, Illinois 3 $ 502,000 $ 167,333 $ 58,000
Kankakee, Illinois 2 $ 20,000 $ 10,000 $ 59,000
LaSalle, Illinois 2 $ 412,000 $ 206,000 $ 80,000
Franklin, Ohio 2 $ 222,000 $ 111,000 $ 102,000
Collier, Florida 1 $ 750,000 $ 750,000 $ 446,000
Lee, Florida 1 $ 394,000 $ 394,000 $ 253,000
Boone, Illinois 1 $ 189,000 $ 189,000 $ 74,000
Peoria, Illinois 1 $ 165,000 $ 165,000 $ 85,000
Stephenson, Illinois 1 $ 82,000 $ 82,000 $ 289,000
Kent, Michigan 1 $ 250,000 $ 250,000 $ 139,000

Mortgage Loan Application Detail Totals for Greatbank in 2006

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 881 $10,399,000 $11,000 $250,000 $64,000 $434,000
Home Purchase 52 $11,099,000 $213,000 $750,000 $91,000 $446,000
Refinancing 23 $3,766,000 $163,000 $355,000 $82,000 $330,000

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
Black or African American 630 $7,217,000 $11,000 $100,000 $60,000 $257,000
White 151 $11,438,000 $75,000 $750,000 $87,000 $446,000
Hispanic 142 $2,021,000 $14,000 $132,000 $69,000 $188,000
Not Provided 25 $4,301,000 $172,000 $400,000 $84,000 $180,000
Asian 5 $220,000 $44,000 $173,000 $100,000 $211,000
American Indian or Alaskan Native 2 $41,000 $20,000 $25,000 $81,000 $82,000
Native Hawaiian or Other Pacific Islander 1 $26,000 $26,000 $26,000 $40,000 $40,000
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) 956 $25,264,000 $26,000 $750,000 $66,000 $446,000
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 459 $13,560,000 $29,000 $750,000 $71,000 $446,000
Application Denied By Financial Institution 263 $4,988,000 $18,000 $400,000 $59,000 $165,000
Application Approved But Not Accepted 211 $2,601,000 $12,000 $50,000 $66,000 $257,000
Application Withdrawn By Applicant 14 $2,194,000 $156,000 $325,000 $68,000 $145,000
File Closed For Incompleteness 6 $1,455,000 $242,000 $350,000 $64,000 $104,000
Preapproval Denied by Financial Institution 3 $466,000 $155,000 $204,000 $56,000 $75,000
Loan Purchased By The Institution 0 $0 $0 $0 $0 $0
Preapproval Approved but not Accepted 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 213 $3,281,000 $15,000 $275,000 $59,000 $159,000
Debt-To-Income Ratio 34 $836,000 $24,000 $294,000 $46,000 $131,000
Collateral 5 $127,000 $25,000 $55,000 $89,000 $161,000
Credit Application Incomplete 1 $184,000 $184,000 $184,000 $59,000 $59,000
Other 1 $400,000 $400,000 $400,000 $165,000 $165,000
Unverifiable Information 1 $85,000 $85,000 $85,000 $10,000 $10,000
Employment History 1 $204,000 $204,000 $204,000 $75,000 $75,000
Insufficient Cash (Downpayment, Closing Cost) 1 $220,000 $220,000 $220,000 $66,000 $66,000
Mortgage Insurance Denied 0 $0 $0 $0 $0 $0

Our comprehensive HMDA mortgage statistics provide invaluable insights into Greatbank's 2006 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 Greatbank'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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