First Federal Bank of Ohio Mortgage Lending & HMDA Data, 2004

In 2004, First Federal Bank of Ohio of Galion, OH reported 590 mortgage applications totaling $51.5 million, down 30% from 2003. The average application was for $87,298, and applicants reported an average income of $61,005. 83% of its applications resulted in an originated loan and 13% were denied. Its largest markets were Columbus, OH (189), Mansfield, OH (169) and Sandusky, OH (35) (applications in parentheses).

Mortgage Company & Address First Federal Bank of Ohio
140 N Columbus St
Galion, OH 44833
Tel #: available with data download
Federal Regulator * available with data download
Years 2010  2009  2008  2007  2006  2005  2004  2003  
Total Number of Mortgage Applications 590
Total Mortgage Loan Application Amount $51,506,000
Average Mortgage Loan Application Amount $87,298
Highest Mortgage Loan Application Amount $588,000
Average Applicant Income $61,005
Highest Applicant Income $480,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records First Federal Bank of Ohio filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 First Federal Bank of Ohio 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
Morrow, Ohio 187 $ 16,252,000 $ 86,909 $ 50,000
Richland, Ohio 169 $ 13,787,000 $ 81,579 $ 53,000
Crawford, Ohio 85 $ 5,358,000 $ 63,035 $ 44,000
Seneca, Ohio 70 $ 6,349,000 $ 90,700 $ 67,000
Erie, Ohio 35 $ 4,220,000 $ 120,571 $ 74,000
Huron, Ohio 12 $ 1,367,000 $ 113,916 $ 65,000
Sandusky, Ohio 7 $ 1,067,000 $ 152,428 $ 64,000
Knox, Ohio 5 $ 592,000 $ 118,400 $ 42,000
Marion, Ohio 5 $ 356,000 $ 71,200 $ 47,000
Ashland, Ohio 4 $ 437,000 $ 109,250 $ 78,000
Ottawa, Ohio 3 $ 523,000 $ 174,333 $ 99,000
Franklin, Ohio 2 $ 368,000 $ 184,000 $ 191,000
Wyandot, Ohio 2 $ 388,000 $ 194,000 $ 133,000
Defiance, Ohio 1 $ 196,000 $ 196,000 $ 84,000
Hancock, Ohio 1 $ 81,000 $ 81,000 $ 57,000
Putnam, Ohio 1 $ 109,000 $ 109,000 $ 57,000
Stark, Ohio 1 $ 56,000 $ 56,000 $ 90,000

Mortgage Loan Application Detail Totals for First Federal Bank of Ohio 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 269 $26,541,000 $98,000 $588,000 $66,000 $469,000
Refinancing 251 $21,264,000 $84,000 $510,000 $59,000 $480,000
Home Improvement 70 $3,701,000 $52,000 $535,000 $49,000 $380,000

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 578 $50,748,000 $87,000 $588,000 $59,000 $480,000
Not Provided 5 $221,000 $44,000 $100,000 $58,000 $75,000
Hispanic 3 $293,000 $97,000 $184,000 $107,000 $225,000
Black or African American 2 $48,000 $24,000 $41,000 $67,000 $82,000
American Indian or Alaskan Native 1 $88,000 $88,000 $88,000 $57,000 $57,000
Asian 1 $108,000 $108,000 $108,000 $35,000 $35,000
Native Hawaiian or Other Pacific Islander 0 $0 $0 $0 $0 $0
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) 590 $51,506,000 $87,000 $588,000 $61,000 $480,000
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 492 $43,998,000 $89,000 $588,000 $71,000 $480,000
Application Denied By Financial Institution 77 $6,057,000 $78,000 $238,000 $48,000 $130,000
Application Approved But Not Accepted 18 $1,272,000 $70,000 $148,000 $43,000 $97,000
Application Withdrawn By Applicant 3 $179,000 $59,000 $100,000 $35,000 $56,000
File Closed For Incompleteness 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 48 $3,369,000 $70,000 $238,000 $44,000 $130,000
Debt-To-Income Ratio 11 $861,000 $78,000 $155,000 $47,000 $66,000
Collateral 11 $1,226,000 $111,000 $213,000 $66,000 $120,000
Other 3 $331,000 $110,000 $133,000 $57,000 $61,000
Unverifiable Information 1 $20,000 $20,000 $20,000 $8,000 $8,000
Credit Application Incomplete 1 $112,000 $112,000 $112,000 $29,000 $29,000
Employment History 1 $88,000 $88,000 $88,000 $57,000 $57,000
Insufficient Cash (Downpayment, Closing Cost) 1 $50,000 $50,000 $50,000 $34,000 $34,000
Mortgage Insurance Denied 0 $0 $0 $0 $0 $0

Our comprehensive HMDA mortgage statistics provide invaluable insights into First Federal Bank of Ohio'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 First Federal Bank of Ohio'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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