Honda Federal Credit Union Mortgage Lending & HMDA Data, 2017

In 2017, Honda Federal Credit Union of Marysville, OH reported 1,273 mortgage applications totaling $174.8 million, up 30% from 2016. The average application was for $137,335, and applicants reported an average income of $79,219. 54% of its applications resulted in an originated loan and 7% were denied. Its largest markets were Columbus, OH (222), Los Angeles-Long Beach-Glendale, CA (63) and Birmingham-Hoover, AL (38) (applications in parentheses).

Mortgage Company & Address Honda Federal Credit Union

Marysville, OH 43040
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  2007  2006  2005  2004  2003  
Total Number of Mortgage Applications 1,273
Total Mortgage Loan Application Amount $174,828,000
Average Mortgage Loan Application Amount $137,335
Highest Mortgage Loan Application Amount $1,120,000
Average Applicant Income $79,219
Highest Applicant Income $440,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Honda Federal Credit Union filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Honda Federal Credit Union by County in 2017

County Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loans Applications Average Mortgage Loan Application Amount Average Applicant Income
Union, Ohio 120 $ 13,524,000 $ 112,700 $ 81,000
Logan, Ohio 110 $ 11,499,000 $ 104,536 $ 77,000
Los Angeles, California 63 $ 18,474,000 $ 293,238 $ 127,000
Franklin, Ohio 55 $ 6,890,000 $ 125,272 $ 83,000
Shelby, Ohio 47 $ 4,687,000 $ 99,723 $ 73,000
Champaign, Ohio 44 $ 4,240,000 $ 96,363 $ 66,000
Delaware, Ohio 37 $ 5,607,000 $ 151,540 $ 101,000
Talladega, Alabama 25 $ 2,583,000 $ 103,320 $ 73,000
Marion, Ohio 24 $ 1,582,000 $ 65,916 $ 73,000
Auglaize, Ohio 22 $ 1,992,000 $ 90,545 $ 63,000
St. Clair, Alabama 21 $ 2,410,000 $ 114,761 $ 89,000
Miami, Ohio 18 $ 2,065,000 $ 114,722 $ 88,000
Calhoun, Alabama 17 $ 1,382,000 $ 81,294 $ 74,000
Hardin, Ohio 16 $ 1,136,000 $ 71,000 $ 62,000
Allen, Ohio 14 $ 925,000 $ 66,071 $ 67,000
Clark, Ohio 14 $ 1,259,000 $ 89,928 $ 84,000
Florence, South Carolina 13 $ 1,327,000 $ 102,076 $ 56,000
Jefferson, Alabama 12 $ 1,513,000 $ 126,083 $ 96,000
Decatur, Indiana 12 $ 1,145,000 $ 95,416 $ 81,000
Shelby, Indiana 12 $ 1,005,000 $ 83,750 $ 62,000
Guilford, North Carolina 12 $ 1,881,000 $ 156,750 $ 133,000
Etowah, Alabama 11 $ 829,000 $ 75,363 $ 83,000
Mercer, Ohio 10 $ 1,103,000 $ 110,300 $ 84,000
Orange, California 9 $ 2,692,000 $ 299,111 $ 142,000
Dearborn, Indiana 7 $ 867,000 $ 123,857 $ 91,000
Riverside, California 6 $ 1,309,000 $ 218,166 $ 90,000
Carroll, Georgia 6 $ 686,000 $ 114,333 $ 70,000
Marion, Indiana 6 $ 487,000 $ 81,166 $ 62,000
Ripley, Indiana 6 $ 581,000 $ 96,833 $ 87,000
Forsyth, Georgia 5 $ 805,000 $ 161,000 $ 140,000
Shelby, Alabama 4 $ 554,000 $ 138,500 $ 100,000
Fayette, Indiana 4 $ 153,000 $ 38,250 $ 49,000
Franklin, Indiana 4 $ 297,000 $ 74,250 $ 46,000
Alamance, North Carolina 4 $ 221,000 $ 55,250 $ 120,000
San Joaquin, California 3 $ 474,000 $ 158,000 $ 116,000
Gwinnett, Georgia 3 $ 210,000 $ 70,000 $ 71,000
Henry, Indiana 3 $ 136,000 $ 45,333 $ 60,000
Jackson, Indiana 3 $ 371,000 $ 123,666 $ 70,000
Morgan, Indiana 3 $ 376,000 $ 125,333 $ 60,000
Rush, Indiana 3 $ 193,000 $ 64,333 $ 79,000
Mecklenburg, North Carolina 3 $ 511,000 $ 170,333 $ 69,000
Licking, Ohio 3 $ 303,000 $ 101,000 $ 79,000
Madison, Ohio 3 $ 345,000 $ 115,000 $ 86,000
Montgomery, Ohio 3 $ 206,000 $ 68,666 $ 76,000
Darlington, South Carolina 3 $ 378,000 $ 126,000 $ 69,000
Horry, South Carolina 3 $ 333,000 $ 111,000 $ 47,000
Cherokee, Alabama 2 $ 123,000 $ 61,500 $ 66,000
Marshall, Alabama 2 $ 110,000 $ 55,000 $ 120,000
San Bernardino, California 2 $ 1,115,000 $ 557,500 $ 164,000
Clinton, Indiana 2 $ 142,000 $ 71,000 $ 72,000
Hancock, Indiana 2 $ 197,000 $ 98,500 $ 84,000
Brunswick, North Carolina 2 $ 483,000 $ 241,500 $ 151,000
Forsyth, North Carolina 2 $ 245,000 $ 122,500 $ 103,000
Union, North Carolina 2 $ 47,000 $ 23,500 $ 101,000
Darke, Ohio 2 $ 188,000 $ 94,000 $ 32,000
Knox, Ohio 2 $ 128,000 $ 64,000 $ 64,000
Morrow, Ohio 2 $ 376,000 $ 188,000 $ 131,000
Pickaway, Ohio 2 $ 231,000 $ 115,500 $ 92,000
Baldwin, Alabama 1 $ 110,000 $ 110,000 $ 69,000
Bibb, Alabama 1 $ 68,000 $ 68,000 $ 38,000
Clay, Alabama 1 $ 109,000 $ 109,000 $ 66,000
Randolph, Alabama 1 $ 278,000 $ 278,000 $ 102,000
Kern, California 1 $ 57,000 $ 57,000 $ 110,000
Sacramento, California 1 $ 35,000 $ 35,000 $ 280,000
Solano, California 1 $ 275,000 $ 275,000 $ 68,000
New Haven, Connecticut 1 $ 134,000 $ 134,000 $ 123,000
Dade, Georgia 1 $ 204,000 $ 204,000 $ 131,000
Gilmer, Georgia 1 $ 300,000 $ 300,000 $ 124,000
Haralson, Georgia 1 $ 100,000 $ 100,000 $ 52,000
Paulding, Georgia 1 $ 164,000 $ 164,000 $ 40,000
Polk, Georgia 1 $ 40,000 $ 40,000 $ 40,000
Bartholomew, Indiana 1 $ 140,000 $ 140,000 $ 79,000
Hendricks, Indiana 1 $ 130,000 $ 130,000 $ 63,000
Jennings, Indiana 1 $ 153,000 $ 153,000 $ 38,000
Johnson, Indiana 1 $ 134,000 $ 134,000 $ 127,000
Madison, Indiana 1 $ 241,000 $ 241,000 $ 110,000
Switzerland, Indiana 1 $ 91,000 $ 91,000 $ 34,000
Washtenaw, Michigan 1 $ 150,000 $ 150,000 $ 127,000
Buncombe, North Carolina 1 $ 128,000 $ 128,000 $ 34,000
Davidson, North Carolina 1 $ 82,000 $ 82,000 $ 225,000
Iredell, North Carolina 1 $ 173,000 $ 173,000 $ 78,000
Cuyahoga, Ohio 1 $ 350,000 $ 350,000 $ 156,000
Erie, Ohio 1 $ 120,000 $ 120,000 $ 57,000
Greene, Ohio 1 $ 154,000 $ 154,000 $ 72,000
Putnam, Ohio 1 $ 216,000 $ 216,000 $ 119,000
Van Wert, Ohio 1 $ 53,000 $ 53,000 $ 56,000
Warren, Ohio 1 $ 125,000 $ 125,000 $ 75,000
Hood River, Oregon 1 $ 400,000 $ 400,000 $ 50,000
Clarendon, South Carolina 1 $ 168,000 $ 168,000 $ 98,000
Lee, South Carolina 1 $ 83,000 $ 83,000 $ 88,000
Richland, South Carolina 1 $ 222,000 $ 222,000 $ 103,000
York, South Carolina 1 $ 89,000 $ 89,000 $ 132,000
Shelby, Tennessee 1 $ 50,000 $ 50,000 $ 302,000

Mortgage Loan Application Detail Totals for Honda Federal Credit Union in 2017

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 732 $112,822,000 $154,000 $1,120,000 $75,000 $305,000
Refinancing 401 $47,539,000 $118,000 $666,000 $87,000 $440,000
Home Improvement 140 $14,467,000 $103,000 $500,000 $79,000 $222,000

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 1,014 $126,479,000 $124,000 $1,100,000 $77,000 $440,000
Black or African American 103 $13,711,000 $133,000 $532,000 $73,000 $305,000
Asian 53 $16,156,000 $304,000 $1,120,000 $112,000 $285,000
Not Provided 45 $6,148,000 $136,000 $666,000 $91,000 $250,000
Hispanic 45 $9,504,000 $211,000 $590,000 $88,000 $220,000
Native Hawaiian or Other Pacific Islander 8 $2,238,000 $279,000 $508,000 $133,000 $223,000
American Indian or Alaskan Native 5 $592,000 $118,000 $225,000 $94,000 $153,000
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) 1,273 $174,828,000 $137,000 $1,120,000 $79,000 $440,000
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 685 $84,178,000 $122,000 $666,000 $87,000 $440,000
Preapproval Approved but not Accepted 230 $45,502,000 $197,000 $1,120,000 $81,000 $305,000
Preapproval Denied by Financial Institution 155 $18,643,000 $120,000 $435,000 $48,000 $124,000
Application Withdrawn By Applicant 115 $16,945,000 $147,000 $1,056,000 $89,000 $302,000
Application Denied By Financial Institution 87 $9,526,000 $109,000 $480,000 $62,000 $153,000
File Closed For Incompleteness 1 $34,000 $34,000 $34,000 $25,000 $25,000
Application Approved But Not Accepted 0 $0 $0 $0 $0 $0
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 95 $11,021,000 $116,000 $450,000 $51,000 $145,000
Debt-To-Income Ratio 46 $5,675,000 $123,000 $290,000 $49,000 $130,000
Insufficient Cash (Downpayment, Closing Cost) 28 $2,798,000 $99,000 $170,000 $41,000 $65,000
Collateral 14 $879,000 $62,000 $145,000 $62,000 $117,000
Other 5 $507,000 $101,000 $256,000 $105,000 $153,000
Employment History 2 $156,000 $78,000 $100,000 $34,000 $37,000
Unverifiable Information 1 $57,000 $57,000 $57,000 $24,000 $24,000
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 Honda Federal Credit Union's 2017 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 Honda Federal 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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