Marine Credit Union
HMDA Loan Application Totals
and Mortgage Lending Details
for 2015

Marine Credit Union 2015 HMDA loan application data provides key insights into its mortgage lending trends, applicant demographics, and loan distribution.
The Home Mortgage Disclosure Act (HMDA) requires lenders to report detailed loan application data, offering transparency into lending patterns.
The data reveals trends in average loan size, applicant income, and mortgage approval rates, helping consumers and analysts understand lending accessibility.

Below, explore a breakdown of loan applications by county, metro area, loan purpose, applicant race, loan type, and more.
Whether you're an industry professional, homebuyer, or researcher, this information provides valuable insights into mortgage lending activity.
Scroll down to view the full dataset and analyze lending trends in greater detail.

Mortgage Company & Address Marine Credit Union
811 Monitor Street
La Crosse, WI 54603
Tel #: available with data download
Federal Regulator * available with data download
Years 2023  2022  2021  2020  2019  2018  2017  2016  2015  2014  2013  2012  2011  2010  2009  2008  2007  2006  2005  2004  
Total Number of Mortgage Applications 2,271
Total Mortgage Loan Application Amount $227,542,000
Average Mortgage Loan Application Amount $86,000
Highest Mortgage Loan Application Amount $880,000
Average Applicant Income $65,000
Highest Applicant Income $600,000

Explore comprehensive HMDA mortgage statistics and lending trends for 2015 with Marine Credit Union. Below, you'll find key insights into this lender's mortgage activity, including total loan applications, average mortgage amounts, highest application values, and income levels of top applicants. Whether you're analyzing Marine Credit Union's lending patterns or researching mortgage trends, these statistics provide valuable transparency into their loan activity.

Our HMDA dataset for 2015 breaks down Marine Credit Union's mortgage applications by loan purpose, applicant race, loan type, approval outcomes, and reasons for denial. These insights help homebuyers, financial analysts, and industry professionals assess borrower demographics and lending practices, offering a clearer view of how Marine Credit Union serves its applicants.

Each category highlights the total number of mortgage applications processed by Marine Credit Union, total loan amounts, average mortgage values, and the highest mortgage amounts recorded. You can also review borrower income trends, including the average and highest reported applicant incomes for loans issued by this lender. Whether you're evaluating lender performance, comparing mortgage approval rates, or exploring loan options, this HMDA-backed data offers a crucial look at Marine Credit Union's mortgage activity for 2015.

Mortgage Loan Application Totals for Marine Credit Union by Metropolitan Area in 2015

Metro Area Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loan Applications Average Mortgage Loan Application Amount Average Applicant Income
MILWAUKEE-WAUKESHA-WEST ALLIS, WI 474 $ 55,443,000 $ 116,000 $ 74,000
FOND DU LAC, WI 269 $ 21,315,000 $ 79,000 $ 67,000
LA CROSSE-ONALASKA, WI-MN 269 $ 30,596,000 $ 108,500 $ 68,000
GREEN BAY, WI 137 $ 14,313,000 $ 104,000 $ 64,000
EAU CLAIRE, WI 79 $ 6,762,000 $ 85,000 $ 59,000
ROCHESTER, MN 73 $ 8,456,000 $ 115,000 $ 59,000
APPLETON, WI 62 $ 7,022,000 $ 113,000 $ 73,000
OSHKOSH-NEENAH, WI 61 $ 5,639,000 $ 92,000 $ 62,000
SHEBOYGAN, WI 34 $ 2,449,000 $ 72,000 $ 58,000
RACINE, WI 28 $ 2,696,000 $ 96,000 $ 53,000
MADISON, WI 18 $ 1,532,000 $ 85,000 $ 78,000
MINNEAPOLIS-ST. PAUL-BLOOMINGTON, MN-WI 14 $ 2,164,000 $ 163,000 $ 96,000
LAKE COUNTY-KENOSHA COUNTY, IL-WI 12 $ 1,035,000 $ 86,000 $ 55,000
JANESVILLE-BELOIT, WI 6 $ 428,000 $ 71,000 $ 56,000
CEDAR RAPIDS, IA 5 $ 631,000 $ 126,000 $ 56,000
WATERLOO-CEDAR FALLS, IA 5 $ 600,000 $ 120,000 $ 71,000
DES MOINES-WEST DES MOINES, IA 3 $ 395,000 $ 131,000 $ 72,000
DULUTH, MN-WI 3 $ 282,000 $ 96,500 $ 50,500
CHICAGO-NAPERVILLE-ARLINGTON HEIGHTS, IL 1 $ 9,000 $ 9,000 $ 118,000
DUBUQUE, IA 1 $ 82,000 $ 82,000 $ 71,000
WAUSAU, WI 1 $ 133,000 $ 133,000 $ 52,000

Mortgage Loan Application Detail Totals for Marine Credit Union in 2015

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 979 $126,750,000 $129,000 $880,000 $67,000 $600,000
Home Purchase 883 $89,220,000 $101,000 $711,000 $65,000 $357,000
Home Improvement 409 $11,572,000 $28,000 $236,000 $63,000 $246,000

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 1,925 $196,117,000 $101,000 $880,000 $67,000 $580,000
Black or African American 146 $9,845,000 $67,000 $555,000 $65,000 $600,000
Hispanic 71 $5,615,000 $79,000 $385,000 $55,000 $245,000
Not Provided 53 $4,445,000 $83,000 $520,000 $84,000 $268,000
Asian 29 $2,826,000 $97,000 $259,000 $60,000 $182,000
Not applicable 27 $6,875,000 $254,000 $800,000 $0 $0
American Indian or Alaskan Native 14 $1,130,000 $80,000 $152,000 $74,000 $234,000
Native Hawaiian or Other Pacific Islander 6 $689,000 $114,000 $200,000 $90,000 $149,000

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) 2,271 $227,542,000 $100,000 $880,000 $66,000 $600,000
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 757 $61,197,000 $80,000 $725,000 $69,000 $357,000
Application Denied By Financial Institution 625 $68,101,000 $108,000 $880,000 $56,000 $600,000
Application Withdrawn By Applicant 444 $53,982,000 $121,000 $800,000 $69,000 $580,000
Application Approved But Not Accepted 353 $35,248,000 $99,000 $510,000 $74,000 $246,000
File Closed For Incompleteness 92 $9,014,000 $97,000 $392,000 $58,000 $126,000
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 305 $35,991,000 $118,000 $678,000 $48,000 $171,000
Credit History 167 $17,403,000 $104,000 $880,000 $66,000 $600,000
Collateral 77 $6,472,000 $84,000 $275,000 $61,000 $170,000
Other 40 $4,644,000 $116,000 $360,000 $72,000 $236,000
Credit Application Incomplete 17 $1,514,000 $89,000 $187,000 $44,000 $83,000
Employment History 17 $1,942,000 $114,000 $186,000 $55,000 $150,000
Unverifiable Information 2 $135,000 $67,000 $75,000 $112,000 $177,000
Insufficient Cash (Downpayment, Closing Cost) 0 $0 $0 $0 $0 $0
Mortgage Insurance Denied 0 $0 $0 $0 $0 $0

Our comprehensive HMDA mortgage statistics provide invaluable insights into Marine Credit Union's 2015 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 Marine 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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