Washington Federal Savings Ban Mortgage Lending & HMDA Data, 2008

In 2008, Washington Federal Savings Ban of Washington, PA reported 655 mortgage applications totaling $116.3 million, up 21% from 2007. The average application was for $177,505, and applicants reported an average income of $126,522. 80% of its applications resulted in an originated loan and 10% were denied. Its largest markets were Pittsburgh, PA (617), Youngstown-Warren-Boardman, OH-PA (3) and Asheville, NC (2) (applications in parentheses).

Mortgage Company & Address Washington Federal Savings Ban
77 South Main Street
Washington, PA 15301
Tel #: available with data download
Federal Regulator * available with data download
Years 2008  2007  2006  2005  2004  2003  
Total Number of Mortgage Applications 655
Total Mortgage Loan Application Amount $116,266,000
Average Mortgage Loan Application Amount $177,505
Highest Mortgage Loan Application Amount $2,727,000
Average Applicant Income $126,522
Highest Applicant Income $2,667,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Washington Federal Savings Ban filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Washington Federal Savings Ban by Metropolitan Area in 2008

Metro Area Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loan Applications Average Mortgage Loan Application Amount Average Applicant Income
Pittsburgh, PA 617 $ 105,084,000 $ 170,314 $ 118,000
Youngstown-Warren-Boardman, OH-PA 3 $ 650,000 $ 216,666 $ 163,000
Asheville, NC 2 $ 1,017,000 $ 508,500 $ 261,000
Canton-Massillon, OH 1 $ 83,000 $ 83,000 $ 102,000
Cincinnati-Middletown, OH-KY-IN 1 $ 604,000 $ 604,000 $ 384,000
Columbus, OH 1 $ 162,000 $ 162,000 $ 95,000
Naples-Marco Island, FL 1 $ 544,000 $ 544,000 $ 239,000
Ocean City, NJ 1 $ 417,000 $ 417,000 $ 100,000
Philadelphia, PA 1 $ 232,000 $ 232,000 $ 438,000
Weirton-Steubenville, WV-OH 1 $ 200,000 $ 200,000 $ 103,000

Mortgage Loan Application Detail Totals for Washington Federal Savings Ban in 2008

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 322 $78,387,000 $243,000 $2,727,000 $153,000 $2,321,000
Refinancing 207 $34,053,000 $164,000 $1,500,000 $124,000 $2,667,000
Home Improvement 126 $3,826,000 $30,000 $211,000 $63,000 $221,000

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 587 $102,291,000 $174,000 $2,727,000 $123,000 $2,667,000
Not Provided 20 $4,669,000 $233,000 $1,360,000 $185,000 $780,000
Black or African American 17 $1,972,000 $116,000 $428,000 $67,000 $255,000
Asian 12 $3,531,000 $294,000 $640,000 $230,000 $469,000
Not applicable 12 $1,907,000 $158,000 $400,000 $177,000 $1,600,000
Hispanic 7 $1,896,000 $270,000 $580,000 $98,000 $278,000
Native Hawaiian or Other Pacific Islander 0 $0 $0 $0 $0 $0
American Indian or Alaskan Native 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) 652 $115,654,000 $177,000 $2,727,000 $126,000 $2,667,000
FHA-insured (Federal Housing Administration) 2 $336,000 $168,000 $274,000 $92,000 $102,000
VA-guaranteed (Veterans Administration) 1 $276,000 $276,000 $276,000 $106,000 $106,000
FSA/RHS (Farm Service Agency or Rural Housing Service) 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 523 $101,469,000 $194,000 $2,727,000 $137,000 $2,667,000
Application Denied By Financial Institution 68 $6,251,000 $91,000 $750,000 $79,000 $501,000
Application Withdrawn By Applicant 44 $6,658,000 $151,000 $428,000 $97,000 $650,000
Application Approved But Not Accepted 15 $807,000 $53,000 $236,000 $64,000 $151,000
File Closed For Incompleteness 5 $1,081,000 $216,000 $276,000 $133,000 $213,000
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
Credit History 34 $1,724,000 $50,000 $272,000 $58,000 $278,000
Debt-To-Income Ratio 18 $2,342,000 $130,000 $750,000 $62,000 $170,000
Collateral 7 $288,000 $41,000 $60,000 $57,000 $103,000
Credit Application Incomplete 5 $1,007,000 $201,000 $280,000 $143,000 $323,000
Insufficient Cash (Downpayment, Closing Cost) 2 $742,000 $371,000 $692,000 $501,000 $501,000
Other 2 $148,000 $74,000 $129,000 $80,000 $91,000
Unverifiable Information 0 $0 $0 $0 $0 $0
Mortgage Insurance Denied 0 $0 $0 $0 $0 $0
Employment History 0 $0 $0 $0 $0 $0

Our comprehensive HMDA mortgage statistics provide invaluable insights into Washington Federal Savings Ban's 2008 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 Washington Federal Savings Ban'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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