Uw Credit Union Mortgage Lending & HMDA Data, 2010

In 2010, Uw Credit Union of Madison, WI reported 4,562 mortgage applications totaling $784.6 million, down 27% from 2009. The average application was for $171,975, and applicants reported an average income of $93,438. 54% of its applications resulted in an originated loan and 12% were denied. Its largest markets were Madison, WI (3,211), Milwaukee-Waukesha-West Allis, WI (506) and Janesville, WI (78) (applications in parentheses).

Mortgage Company & Address Uw Credit Union
3500 University Ave
Madison, WI 53717
Tel #: available with data download
Federal Regulator * available with data download
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Total Number of Mortgage Applications 4,562
Total Mortgage Loan Application Amount $784,553,000
Average Mortgage Loan Application Amount $171,975
Highest Mortgage Loan Application Amount $600,000
Average Applicant Income $93,438
Highest Applicant Income $870,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Uw Credit Union filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Uw Credit Union by Metropolitan Area in 2010

Metro Area Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loan Applications Average Mortgage Loan Application Amount Average Applicant Income
Madison, WI 3,211 $ 570,699,000 $ 177,732 $ 98,000
Milwaukee-Waukesha-West Allis, WI 506 $ 85,345,000 $ 168,666 $ 98,000
Janesville, WI 78 $ 10,917,000 $ 139,961 $ 87,000
Green Bay, WI 41 $ 5,149,000 $ 125,585 $ 73,000
Appleton, WI 12 $ 1,908,000 $ 159,000 $ 108,000
Oshkosh-Neenah, WI 10 $ 1,685,000 $ 168,500 $ 105,000
Eau Claire, WI 7 $ 941,000 $ 134,428 $ 83,000
Lake County-Kenosha County, IL-WI 7 $ 1,285,000 $ 183,571 $ 151,000
Wausau, WI 7 $ 1,446,000 $ 206,571 $ 77,000
Racine, WI 5 $ 455,000 $ 91,000 $ 111,000
Fond Du Lac, WI 4 $ 549,000 $ 137,250 $ 132,000
Sheboygan, WI 3 $ 400,000 $ 133,333 $ 103,000
La Crosse, WI-MN 2 $ 236,000 $ 118,000 $ 89,000

Mortgage Loan Application Detail Totals for Uw Credit Union in 2010

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 3,041 $520,702,000 $171,000 $516,000 $98,000 $870,000
Home Purchase 1,224 $219,320,000 $179,000 $600,000 $81,000 $550,000
Home Improvement 297 $44,531,000 $149,000 $414,000 $98,000 $496,000

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 3,700 $637,139,000 $172,000 $600,000 $94,000 $870,000
Not Provided 492 $82,685,000 $168,000 $417,000 $95,000 $550,000
Asian 186 $34,551,000 $185,000 $417,000 $97,000 $434,000
Hispanic 106 $17,323,000 $163,000 $417,000 $77,000 $272,000
Black or African American 62 $9,909,000 $159,000 $353,000 $91,000 $316,000
American Indian or Alaskan Native 15 $2,766,000 $184,000 $375,000 $115,000 $257,000
Native Hawaiian or Other Pacific Islander 1 $180,000 $180,000 $180,000 $125,000 $125,000
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) 4,307 $744,351,000 $172,000 $600,000 $96,000 $870,000
FHA-insured (Federal Housing Administration) 255 $40,202,000 $157,000 $300,000 $59,000 $210,000
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 2,468 $424,756,000 $172,000 $417,000 $101,000 $599,000
Application Approved But Not Accepted 991 $178,705,000 $180,000 $470,000 $99,000 $870,000
Application Denied By Financial Institution 542 $90,493,000 $166,000 $516,000 $72,000 $444,000
Preapproval Denied by Financial Institution 345 $54,955,000 $159,000 $600,000 $56,000 $500,000
Application Withdrawn By Applicant 182 $30,032,000 $165,000 $417,000 $103,000 $550,000
File Closed For Incompleteness 34 $5,612,000 $165,000 $295,000 $59,000 $170,000
Loan Purchased By The Institution 0 $0 $0 $0 $0 $0
Preapproval Approved but not Accepted 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 408 $65,951,000 $161,000 $417,000 $50,000 $274,000
Credit History 237 $37,275,000 $157,000 $600,000 $74,000 $500,000
Collateral 127 $23,549,000 $185,000 $417,000 $88,000 $242,000
Other 58 $11,233,000 $193,000 $516,000 $96,000 $444,000
Employment History 16 $2,419,000 $151,000 $285,000 $43,000 $116,000
Unverifiable Information 10 $2,276,000 $227,000 $391,000 $74,000 $176,000
Insufficient Cash (Downpayment, Closing Cost) 6 $927,000 $154,000 $222,000 $96,000 $134,000
Mortgage Insurance Denied 2 $334,000 $167,000 $171,000 $117,000 $129,000
Credit Application Incomplete 1 $38,000 $38,000 $38,000 $21,000 $21,000

Our comprehensive HMDA mortgage statistics provide invaluable insights into Uw Credit Union's 2010 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 Uw 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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