Security National Bank Mortgage Lending & HMDA Data, 2006

In 2006, Security National Bank of Springfield, OH reported 669 mortgage applications totaling $45.6 million, about the same as 2005. The average application was for $68,150, and applicants reported an average income of $54,118. 74% of its applications resulted in an originated loan and 17% were denied. Its largest markets were Springfield, OH (322), Dayton, OH (260) and Columbus, OH (8) (applications in parentheses).

Mortgage Company & Address Security National Bank
40 S Limestone St
Springfield, OH 45502
Tel #: available with data download
Federal Regulator * available with data download
Years 2007  2006  2005  2004  2003  
Total Number of Mortgage Applications 669
Total Mortgage Loan Application Amount $45,593,000
Average Mortgage Loan Application Amount $68,150
Highest Mortgage Loan Application Amount $650,000
Average Applicant Income $54,118
Highest Applicant Income $486,000

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(HMDA) records Security National Bank filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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

Mortgage Loan Application Totals for Security National Bank 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
Clark, Ohio 322 $ 15,893,000 $ 49,357 $ 51,000
Miami, Ohio 126 $ 10,972,000 $ 87,079 $ 50,000
Greene, Ohio 118 $ 9,143,000 $ 77,483 $ 61,000
Montgomery, Ohio 16 $ 916,000 $ 57,250 $ 54,000
Champaign, Ohio 15 $ 817,000 $ 54,466 $ 55,000
Fayette, Ohio 8 $ 448,000 $ 56,000 $ 61,000
Shelby, Ohio 8 $ 424,000 $ 53,000 $ 50,000
Madison, Ohio 7 $ 556,000 $ 79,428 $ 54,000
Warren, Ohio 3 $ 489,000 $ 163,000 $ 110,000
Clinton, Ohio 2 $ 67,000 $ 33,500 $ 51,000
Madison, Indiana 1 $ 53,000 $ 53,000 $ 32,000
Darke, Ohio 1 $ 52,000 $ 52,000 $ 28,000
Franklin, Ohio 1 $ 346,000 $ 346,000 $ 486,000
Hamilton, Ohio 1 $ 166,000 $ 166,000 $ 61,000
Highland, Ohio 1 $ 139,000 $ 139,000 $ 58,000
Mercer, Ohio 1 $ 144,000 $ 144,000 $ 185,000

Mortgage Loan Application Detail Totals for Security National Bank 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
Refinancing 301 $22,511,000 $74,000 $350,000 $57,000 $304,000
Home Purchase 216 $20,360,000 $94,000 $650,000 $53,000 $486,000
Home Improvement 152 $2,722,000 $17,000 $160,000 $50,000 $187,000

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 632 $43,435,000 $68,000 $650,000 $55,000 $486,000
Black or African American 18 $777,000 $43,000 $166,000 $42,000 $100,000
Not Provided 7 $187,000 $26,000 $128,000 $49,000 $85,000
Not applicable 5 $473,000 $94,000 $288,000 $0 $0
Hispanic 3 $269,000 $89,000 $187,000 $27,000 $43,000
Native Hawaiian or Other Pacific Islander 2 $84,000 $42,000 $48,000 $17,000 $17,000
Asian 2 $368,000 $184,000 $302,000 $77,000 $114,000
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) 669 $45,593,000 $68,000 $650,000 $54,000 $486,000
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 496 $30,330,000 $61,000 $350,000 $56,000 $486,000
Application Denied By Financial Institution 113 $8,167,000 $72,000 $305,000 $47,000 $137,000
Preapproval Approved but not Accepted 25 $3,965,000 $158,000 $650,000 $69,000 $179,000
Preapproval Denied by Financial Institution 13 $1,003,000 $77,000 $185,000 $30,000 $79,000
Application Approved But Not Accepted 12 $1,495,000 $124,000 $281,000 $52,000 $98,000
Application Withdrawn By Applicant 8 $564,000 $70,000 $117,000 $39,000 $67,000
File Closed For Incompleteness 2 $69,000 $34,000 $66,000 $45,000 $67,000
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
Credit History 56 $3,452,000 $61,000 $150,000 $43,000 $97,000
Debt-To-Income Ratio 53 $4,462,000 $84,000 $305,000 $48,000 $137,000
Collateral 10 $848,000 $84,000 $144,000 $59,000 $118,000
Other 3 $112,000 $37,000 $53,000 $24,000 $32,000
Unverifiable Information 2 $112,000 $56,000 $70,000 $16,000 $30,000
Employment History 2 $184,000 $92,000 $114,000 $17,000 $30,000
Insufficient Cash (Downpayment, Closing Cost) 0 $0 $0 $0 $0 $0
Mortgage Insurance Denied 0 $0 $0 $0 $0 $0
Credit Application Incomplete 0 $0 $0 $0 $0 $0

Our comprehensive HMDA mortgage statistics provide invaluable insights into Security National Bank'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 Security National 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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