National Bank of St Anne Mortgage Lending & HMDA Data, 2008

In 2008, National Bank of St Anne of St Anne, IL reported 59 mortgage applications totaling $3.4 million. The average application was for $56,813, and applicants reported an average income of $63,355. 63% of its applications resulted in an originated loan and 0% were denied. Its largest markets were Kankakee-Bradley, IL (31), Minneapolis-St. Paul-Bloomington, MN-WI (4) and Wichita, KS (3) (applications in parentheses).

Mortgage Company & Address National Bank of St Anne
158 West Station St
St Anne, IL 60964
Tel #: available with data download
Federal Regulator * available with data download
Years 2025  2024  2023  2022  2021  2020  2019  2018  2017  2016  2015  2014  2013  2012  2011  2010  2009  2008  
Total Number of Mortgage Applications 59
Total Mortgage Loan Application Amount $3,352,000
Average Mortgage Loan Application Amount $56,813
Highest Mortgage Loan Application Amount $288,000
Average Applicant Income $63,355
Highest Applicant Income $302,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records National Bank of St Anne filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 National Bank of St Anne by County in 2008

County Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loans Applications Average Mortgage Loan Application Amount Average Applicant Income
Kankakee, Illinois 31 $ 1,910,000 $ 61,612 $ 76,000
Iroquois, Illinois 3 $ 138,000 $ 46,000 $ 40,000
Sedgwick, Kansas 2 $ 90,000 $ 45,000 $ 49,000
Cherry, Nebraska 2 $ 100,000 $ 50,000 $ 40,000
Clark, Ohio 2 $ 323,000 $ 161,500 $ 100,000
Henry, Illinois 1 $ 28,000 $ 28,000 $ 34,000
Floyd, Indiana 1 $ 32,000 $ 32,000 $ 48,000
Lake, Indiana 1 $ 73,000 $ 73,000 $ 191,000
Linn, Iowa 1 $ 16,000 $ 16,000 $ 24,000
Butler, Kansas 1 $ 59,000 $ 59,000 $ 16,000
Anoka, Minnesota 1 $ 37,000 $ 37,000 $ 34,000
Dakota, Minnesota 1 $ 48,000 $ 48,000 $ 47,000
Ramsey, Minnesota 1 $ 25,000 $ 25,000 $ 29,000
Washington, Minnesota 1 $ 36,000 $ 36,000 $ 51,000
Jefferson, Missouri 1 $ 32,000 $ 32,000 $ 66,000
St. Charles, Missouri 1 $ 49,000 $ 49,000 $ 29,000
Elko, Nevada 1 $ 51,000 $ 51,000 $ 93,000
Onondaga, New York 1 $ 43,000 $ 43,000 $ 22,000
Summit, Ohio 1 $ 33,000 $ 33,000 $ 40,000
Wayne, Ohio 1 $ 50,000 $ 50,000 $ 31,000
Lancaster, Pennsylvania 1 $ 38,000 $ 38,000 $ 31,000
Lebanon, Pennsylvania 1 $ 60,000 $ 60,000 $ 59,000
Newport News, Virginia 1 $ 34,000 $ 34,000 $ 38,000
Sweetwater, Wyoming 1 $ 47,000 $ 47,000 $ 40,000

Mortgage Loan Application Detail Totals for National Bank of St Anne in 2008

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 31 $1,647,000 $53,000 $134,000 $58,000 $233,000
Refinancing 16 $1,400,000 $87,000 $288,000 $77,000 $302,000
Home Improvement 12 $305,000 $25,000 $143,000 $59,000 $155,000

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 59 $3,352,000 $56,000 $288,000 $64,000 $302,000
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
Not applicable 0 $0 $0 $0 $0 $0
Not Provided 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) 59 $3,352,000 $56,000 $288,000 $64,000 $302,000
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 37 $2,444,000 $66,000 $288,000 $77,000 $302,000
Loan Purchased By The Institution 22 $908,000 $41,000 $69,000 $41,000 $93,000
Preapproval Approved but not Accepted 0 $0 $0 $0 $0 $0
Preapproval Denied by Financial Institution 0 $0 $0 $0 $0 $0
Application Approved But Not Accepted 0 $0 $0 $0 $0 $0
Application Denied By Financial Institution 0 $0 $0 $0 $0 $0
Application Withdrawn By Applicant 0 $0 $0 $0 $0 $0
File Closed For Incompleteness 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
Collateral 0 $0 $0 $0 $0 $0
Credit Application Incomplete 0 $0 $0 $0 $0 $0
Credit History 0 $0 $0 $0 $0 $0
Debt-To-Income Ratio 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 National Bank of St Anne's 2008 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 National Bank of St Anne'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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