Harris Bank St. Charles Mortgage Lending & HMDA Data, 2004

In 2004, Harris Bank St. Charles of St. Charles, IL reported 212 mortgage applications totaling $39.7 million, down 16% from 2003. The average application was for $187,476, and applicants reported an average income of $54,080. 25% of its applications resulted in an originated loan and 2% were denied. Its largest markets were Chicago-Naperville-Joliet, IL (162), Gary, IN (28) and Peoria, IL (4) (applications in parentheses).

Mortgage Company & Address Harris Bank St. Charles
1 E. Main Street
St. Charles, IL 60174
Tel #: available with data download
Federal Regulator * available with data download
Years 2004  2003  
Total Number of Mortgage Applications 212
Total Mortgage Loan Application Amount $39,745,000
Average Mortgage Loan Application Amount $187,476
Highest Mortgage Loan Application Amount $1,179,000
Average Applicant Income $54,080
Highest Applicant Income $680,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Harris Bank St. Charles filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Harris Bank St. Charles by County in 2004

County Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loans Applications Average Mortgage Loan Application Amount Average Applicant Income
Kane, Illinois 94 $ 17,109,000 $ 182,010 $ 65,000
DuPage, Illinois 22 $ 4,351,000 $ 197,772 $ 150,000
Lake, Indiana 22 $ 2,692,000 $ 122,363 $ 46,000
Cook, Illinois 19 $ 3,772,000 $ 198,526 $ 79,000
DeKalb, Illinois 10 $ 2,081,000 $ 208,100 $ 54,000
Will, Illinois 8 $ 1,538,000 $ 192,250 $ 33,000
Kendall, Illinois 7 $ 1,284,000 $ 183,428 $ 45,000
Porter, Indiana 6 $ 819,000 $ 136,500 $ 34,000
Peoria, Illinois 4 $ 866,000 $ 216,500 $ 0
Lee, Florida 3 $ 973,000 $ 324,333 $ 0
Walworth, Wisconsin 3 $ 1,182,000 $ 394,000 $ 0
Lake, Illinois 2 $ 352,000 $ 176,000 $ 44,000
McHenry, Illinois 2 $ 343,000 $ 171,500 $ 39,000
Middlesex, New Jersey 2 $ 472,000 $ 236,000 $ 59,000
Waukesha, Wisconsin 2 $ 185,000 $ 92,500 $ 89,000
Palm Beach, Florida 1 $ 808,000 $ 808,000 $ 0
McLean, Illinois 1 $ 137,000 $ 137,000 $ 0
Tippecanoe, Indiana 1 $ 115,000 $ 115,000 $ 0
Frederick, Maryland 1 $ 280,000 $ 280,000 $ 0
Oakland, Michigan 1 $ 266,000 $ 266,000 $ 0
St. Charles, Missouri 1 $ 120,000 $ 120,000 $ 0

Mortgage Loan Application Detail Totals for Harris Bank St. Charles in 2004

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 125 $25,034,000 $220,625 $1,000,000 $24,000 $385,000
Refinancing 75 $14,303,000 $316,000 $1,179,000 $26,250 $148,000
Home Improvement 12 $408,000 $34,000 $167,000 $179,000 $680,000

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
Not applicable 155 $36,504,000 $280,750 $1,179,000 $625 $88,000
White 36 $2,549,000 $47,000 $744,000 $122,666 $506,000
Not Provided 18 $565,000 $31,000 $89,000 $76,000 $240,000
Hispanic 2 $75,000 $37,000 $45,000 $367,000 $680,000
Asian 1 $52,000 $52,000 $52,000 $119,000 $119,000
Black or African American 0 $0 $0 $0 $0 $0
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) 212 $39,745,000 $241,625 $1,179,000 $26,250 $680,000
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 Purchased By The Institution 154 $36,485,000 $281,000 $1,179,000 $0 $0
Loan Originated 53 $3,056,000 $44,000 $744,000 $128,750 $680,000
Application Denied By Financial Institution 5 $204,000 $40,000 $50,000 $36,000 $54,000
Application Withdrawn By Applicant 0 $0 $0 $0 $0 $0
File Closed For Incompleteness 0 $0 $0 $0 $0 $0
Application Approved But Not Accepted 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
Debt-To-Income Ratio 3 $120,000 $40,000 $50,000 $28,000 $38,000
Insufficient Cash (Downpayment, Closing Cost) 1 $39,000 $39,000 $39,000 $45,000 $45,000
Credit History 1 $45,000 $45,000 $45,000 $54,000 $54,000
Mortgage Insurance Denied 0 $0 $0 $0 $0 $0
Other 0 $0 $0 $0 $0 $0
Unverifiable Information 0 $0 $0 $0 $0 $0
Employment History 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 Harris Bank St. Charles's 2004 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 Harris Bank St. Charles'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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