Genfed Financial Credit Union Mortgage Lending & HMDA Data, 2016

In 2016, Genfed Financial Credit Union of Akron, OH reported 117 mortgage applications totaling $10.6 million, down 30% from 2015. The average application was for $90,341, and applicants reported an average income of $70,572. 60% of its applications resulted in an originated loan and 13% were denied. Its largest markets were Cleveland-Elyria, OH (11), Akron, OH (9) and Carbondale-Marion, IL (2) (applications in parentheses).

Mortgage Company & Address Genfed Financial Credit Union
2492 Wedgewood Dr Suite G
Akron, OH 44312
Tel #: available with data download
Federal Regulator * available with data download
Years 2016  2015  2014  2013  2012  
Total Number of Mortgage Applications 117
Total Mortgage Loan Application Amount $10,570,000
Average Mortgage Loan Application Amount $90,341
Highest Mortgage Loan Application Amount $386,000
Average Applicant Income $70,572
Highest Applicant Income $241,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Genfed Financial Credit Union filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Genfed Financial Credit Union by County in 2016

County Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loans Applications Average Mortgage Loan Application Amount Average Applicant Income
Jefferson, Illinois 40 $ 3,575,000 $ 89,375 $ 67,000
Marion, Illinois 13 $ 1,375,000 $ 105,769 $ 84,000
Summit, Ohio 8 $ 466,000 $ 58,250 $ 41,000
Hamilton, Illinois 7 $ 619,000 $ 88,428 $ 72,000
Franklin, Illinois 6 $ 498,000 $ 83,000 $ 70,000
Lorain, Ohio 6 $ 647,000 $ 107,833 $ 78,000
Washington, Illinois 5 $ 396,000 $ 79,200 $ 72,000
Paulding, Ohio 5 $ 368,000 $ 73,600 $ 106,000
Williams, Ohio 5 $ 238,000 $ 47,600 $ 53,000
Medina, Ohio 4 $ 819,000 $ 204,750 $ 100,000
Wayne, Illinois 3 $ 167,000 $ 55,666 $ 62,000
Clinton, Illinois 2 $ 217,000 $ 108,500 $ 83,000
Perry, Illinois 2 $ 132,000 $ 66,000 $ 49,000
Williamson, Illinois 2 $ 159,000 $ 79,500 $ 111,000
Randolph, Illinois 1 $ 69,000 $ 69,000 $ 96,000
Marion, Indiana 1 $ 104,000 $ 104,000 $ 10,000
Shelby, Indiana 1 $ 100,000 $ 100,000 $ 92,000
Cuyahoga, Ohio 1 $ 140,000 $ 140,000 $ 62,000
Defiance, Ohio 1 $ 35,000 $ 35,000 $ 60,000
Mahoning, Ohio 1 $ 210,000 $ 210,000 $ 140,000
Portage, Ohio 1 $ 97,000 $ 97,000 $ 30,000

Mortgage Loan Application Detail Totals for Genfed Financial Credit Union in 2016

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 100 $8,910,000 $89,000 $386,000 $70,000 $224,000
Home Purchase 9 $1,103,000 $122,000 $281,000 $81,000 $241,000
Home Improvement 8 $557,000 $69,000 $150,000 $66,000 $111,000

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 113 $10,246,000 $90,000 $386,000 $71,000 $241,000
Black or African American 2 $109,000 $54,000 $80,000 $65,000 $89,000
Hispanic 1 $140,000 $140,000 $140,000 $62,000 $62,000
Asian 1 $75,000 $75,000 $75,000 $58,000 $58,000
American Indian or Alaskan Native 0 $0 $0 $0 $0 $0
Native Hawaiin 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) 117 $10,570,000 $90,000 $386,000 $71,000 $241,000
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 70 $6,087,000 $86,000 $259,000 $77,000 $241,000
Application Withdrawn By Applicant 19 $2,125,000 $111,000 $386,000 $76,000 $212,000
Application Denied By Financial Institution 15 $1,374,000 $91,000 $281,000 $60,000 $129,000
Application Approved But Not Accepted 10 $705,000 $70,000 $127,000 $49,000 $77,000
File Closed For Incompleteness 3 $279,000 $93,000 $115,000 $10,000 $10,000
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
Debt-To-Income Ratio 9 $940,000 $104,000 $281,000 $65,000 $129,000
Collateral 3 $274,000 $91,000 $140,000 $63,000 $70,000
Credit History 3 $160,000 $53,000 $70,000 $43,000 $72,000
Credit Application Incomplete 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 Genfed Financial Credit Union's 2016 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 Genfed Financial Credit Union'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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