Qualstar Credit Union Mortgage Lending & HMDA Data, 2005

In 2005, Qualstar Credit Union of Bothell, WA reported 479 mortgage applications totaling $49.5 million, up 115% from 2004. The average application was for $103,321, and applicants reported an average income of $70,027. 68% of its applications resulted in an originated loan and 12% were denied. Its largest markets were Seattle-Bellevue-Everett, WA (289), Tacoma, WA (96) and Olympia, WA (8) (applications in parentheses).

Mortgage Company & Address Qualstar Credit Union
Po Box 3050
Bothell, WA 98041
Tel #: available with data download
Federal Regulator * available with data download
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Total Number of Mortgage Applications 479
Total Mortgage Loan Application Amount $49,491,000
Average Mortgage Loan Application Amount $103,321
Highest Mortgage Loan Application Amount $400,000
Average Applicant Income $70,027
Highest Applicant Income $312,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Qualstar Credit Union filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Qualstar Credit Union by County in 2005

County Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loans Applications Average Mortgage Loan Application Amount Average Applicant Income
King, Washington 228 $ 26,080,000 $ 114,385 $ 80,000
Pierce, Washington 103 $ 9,015,000 $ 87,524 $ 66,000
Snohomish, Washington 94 $ 9,338,000 $ 99,340 $ 70,000
Thurston, Washington 10 $ 977,000 $ 97,700 $ 57,000
Island, Washington 9 $ 851,000 $ 94,555 $ 68,000
Skagit, Washington 6 $ 695,000 $ 115,833 $ 79,000
Kitsap, Washington 5 $ 571,000 $ 114,200 $ 57,000
Chelan, Washington 2 $ 145,000 $ 72,500 $ 62,000
Clark, Washington 2 $ 81,000 $ 40,500 $ 68,000
Kittitas, Washington 2 $ 230,000 $ 115,000 $ 92,000
Spokane, Washington 2 $ 80,000 $ 40,000 $ 51,000
Polk, Oregon 1 $ 17,000 $ 17,000 $ 35,000
Wasco, Oregon 1 $ 25,000 $ 25,000 $ 33,000
Benton, Washington 1 $ 72,000 $ 72,000 $ 50,000
Cowlitz, Washington 1 $ 36,000 $ 36,000 $ 70,000
Grays Harbor, Washington 1 $ 10,000 $ 10,000 $ 40,000
Lewis, Washington 1 $ 132,000 $ 132,000 $ 45,000
Mason, Washington 1 $ 60,000 $ 60,000 $ 55,000
Okanogan, Washington 1 $ 90,000 $ 90,000 $ 35,000
Yakima, Washington 1 $ 70,000 $ 70,000 $ 53,000

Mortgage Loan Application Detail Totals for Qualstar Credit Union in 2005

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 299 $34,963,000 $67,000 $400,000 $53,500 $312,000
Home Improvement 116 $4,449,000 $31,500 $100,000 $49,000 $234,000
Home Purchase 64 $10,079,000 $157,000 $340,000 $71,000 $285,000

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 285 $29,261,000 $63,500 $400,000 $53,500 $285,000
Not Provided 117 $12,809,000 $63,500 $318,000 $51,000 $312,000
Hispanic 32 $2,884,000 $90,000 $261,000 $63,000 $132,000
Black or African American 23 $2,510,000 $109,000 $260,000 $73,000 $234,000
Asian 14 $1,102,000 $78,000 $238,000 $70,000 $139,000
Native Hawaiian or Other Pacific Islander 5 $550,000 $110,000 $320,000 $81,000 $105,000
American Indian or Alaskan Native 3 $375,000 $125,000 $220,000 $80,000 $90,000
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) 479 $49,491,000 $62,000 $400,000 $52,000 $312,000
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 326 $34,819,000 $66,000 $400,000 $52,500 $312,000
Application Denied By Financial Institution 58 $4,557,000 $48,000 $372,000 $51,000 $140,000
Application Approved But Not Accepted 55 $4,271,000 $77,000 $261,000 $70,000 $200,000
Application Withdrawn By Applicant 24 $3,119,000 $129,000 $360,000 $75,000 $285,000
File Closed For Incompleteness 16 $2,725,000 $170,000 $285,000 $60,000 $100,000
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
Collateral 0 $0 $0 $0 $0 $0
Credit Application Incomplete 0 $0 $0 $0 $0 $0
Credit History 0 $0 $0 $0 $0 $0
Debt-To-Income Ratio 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 Qualstar Credit Union's 2005 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 Qualstar 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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