Boeing Employees Credit Union Mortgage Lending & HMDA Data, 2008

In 2008, Boeing Employees Credit Union of Tukwila, WA reported 10,151 mortgage applications totaling $2.7 billion, down 2% from 2007. The average application was for $262,101, and applicants reported an average income of $95,221. 40% of its applications resulted in an originated loan and 10% were denied. Its largest markets were Seattle-Bellevue-Everett, WA (5,176), Tacoma, WA (1,149) and Olympia, WA (169) (applications in parentheses).

Mortgage Company & Address Boeing Employees Credit Union
12770 Gateway Drive
Tukwila, WA 98168
Tel #: available with data download
Federal Regulator * available with data download
Years 2012  2011  2010  2009  2008  2007  2006  2005  2004  2003  
Total Number of Mortgage Applications 10,151
Total Mortgage Loan Application Amount $2,660,593,000
Average Mortgage Loan Application Amount $262,101
Highest Mortgage Loan Application Amount $2,600,000
Average Applicant Income $95,221
Highest Applicant Income $1,922,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Boeing Employees Credit Union filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Boeing Employees Credit Union 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
Seattle-Bellevue-Everett, WA 5,176 $ 1,425,501,000 $ 275,405 $ 102,000
Tacoma, WA 1,149 $ 274,306,000 $ 238,734 $ 88,000
Olympia, WA 169 $ 36,991,000 $ 218,881 $ 103,000
Bremerton-Silverdale, WA 107 $ 26,040,000 $ 243,364 $ 99,000
Mount Vernon-Anacortes, WA 88 $ 20,520,000 $ 233,181 $ 97,000
Portland-Vancouver-Beaverton, OR-WA 77 $ 20,038,000 $ 260,233 $ 112,467
Phoenix-Mesa-Scottsdale, AZ 73 $ 15,931,000 $ 218,232 $ 117,000
Bellingham, WA 54 $ 13,328,000 $ 246,814 $ 102,000
Spokane, WA 50 $ 8,844,000 $ 176,880 $ 79,000
Wenatchee, WA 31 $ 7,132,000 $ 230,064 $ 140,000
Santa Ana-Anaheim-Irvine, CA 23 $ 9,006,000 $ 391,565 $ 166,000
Yakima, WA 19 $ 3,138,000 $ 165,157 $ 117,000
Kennewick-Pasco-Richland, WA 18 $ 2,856,000 $ 158,666 $ 94,000
Los Angeles-Long Beach-Glendale, CA 17 $ 5,943,000 $ 349,588 $ 164,000
San Diego-Carlsbad-San Marcos, CA 17 $ 4,905,000 $ 288,529 $ 120,000
Riverside-San Bernardino-Ontario, CA 16 $ 3,856,000 $ 241,000 $ 92,000
Tucson, AZ 15 $ 2,823,000 $ 188,200 $ 131,000
St. Louis, MO-IL 14 $ 3,002,000 $ 214,428 $ 123,714
Chicago-Naperville-Joliet, IL 13 $ 3,727,000 $ 286,692 $ 110,000
Philadelphia, PA 13 $ 3,206,000 $ 246,615 $ 127,000
Longview, WA 11 $ 1,486,000 $ 135,090 $ 72,000
Sacramento--Arden-Arcade--Roseville, CA 10 $ 2,984,000 $ 298,400 $ 101,000
Oakland-Fremont-Hayward, CA 8 $ 3,467,000 $ 433,375 $ 182,000
San Francisco-San Mateo-Redwood City, CA 5 $ 3,021,000 $ 604,200 $ 181,000
Bakersfield, CA 4 $ 714,000 $ 178,500 $ 115,000
San Jose-Sunnyvale-Santa Clara, CA 4 $ 1,193,000 $ 298,250 $ 179,000
Wichita, KS 4 $ 390,000 $ 97,500 $ 64,000
Bend, OR 3 $ 367,000 $ 122,333 $ 104,000
Eugene-Springfield, OR 3 $ 766,000 $ 255,333 $ 83,000
Lake Havasu City-Kingman, AZ 3 $ 484,000 $ 161,333 $ 125,000
Prescott, AZ 3 $ 472,000 $ 157,333 $ 178,000
Yuba City, CA 3 $ 395,000 $ 131,666 $ 48,000
Medford, OR 2 $ 434,000 $ 217,000 $ 68,000
Oxnard-Thousand Oaks-Ventura, CA 2 $ 447,000 $ 223,500 $ 108,000
Salem, OR 2 $ 506,000 $ 253,000 $ 69,000
Vallejo-Fairfield, CA 2 $ 588,000 $ 294,000 $ 111,000
Yuma, AZ 2 $ 250,000 $ 125,000 $ 68,000
Bloomington-Normal, IL 1 $ 187,000 $ 187,000 $ 44,000
Decatur, IL 1 $ 129,000 $ 129,000 $ 49,000
Flagstaff, AZ 1 $ 234,000 $ 234,000 $ 117,000
Fresno, CA 1 $ 136,000 $ 136,000 $ 74,000
Joplin, MO 1 $ 166,000 $ 166,000 $ 81,000
Kansas City, MO-KS 1 $ 168,000 $ 168,000 $ 63,000
Modesto, CA 1 $ 122,000 $ 122,000 $ 72,000
Redding, CA 1 $ 153,000 $ 153,000 $ 70,000
Santa Rosa-Petaluma, CA 1 $ 180,000 $ 180,000 $ 83,000
Scranton--Wilkes-Barre, PA 1 $ 50,000 $ 50,000 $ 42,000
Springfield, IL 1 $ 150,000 $ 150,000 $ 61,000
State College, PA 1 $ 108,000 $ 108,000 $ 125,000
Stockton, CA 1 $ 144,000 $ 144,000 $ 90,000

Mortgage Loan Application Detail Totals for Boeing Employees Credit Union 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 5,337 $1,395,944,000 $261,000 $2,275,000 $89,000 $1,922,000
Refinancing 4,776 $1,262,642,000 $264,000 $2,600,000 $102,000 $1,281,000
Home Improvement 38 $2,007,000 $52,000 $250,000 $117,000 $800,000

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 6,124 $1,565,634,000 $255,000 $2,600,000 $94,000 $1,922,000
Not Provided 2,128 $584,250,000 $274,000 $1,655,000 $107,000 $1,281,000
Asian 927 $269,892,000 $291,000 $1,750,000 $97,000 $524,000
Hispanic 373 $93,849,000 $251,000 $722,000 $86,000 $918,000
Black or African American 369 $91,614,000 $248,000 $898,000 $77,000 $800,000
Native Hawaiian or Other Pacific Islander 107 $26,267,000 $245,000 $450,000 $78,000 $207,000
American Indian or Alaskan Native 99 $25,168,000 $254,000 $672,000 $88,000 $300,000
Not applicable 24 $3,919,000 $163,000 $569,000 $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) 10,151 $2,660,593,000 $262,000 $2,600,000 $96,000 $1,922,000
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 4,094 $1,012,765,000 $247,000 $2,600,000 $100,000 $1,922,000
Preapproval Approved but not Accepted 1,579 $432,366,000 $273,000 $1,750,000 $91,000 $1,341,000
Application Withdrawn By Applicant 1,338 $378,644,000 $282,000 $2,275,000 $107,000 $1,337,000
Application Denied By Financial Institution 1,065 $293,486,000 $275,000 $2,000,000 $85,000 $1,035,000
Preapproval Denied by Financial Institution 980 $234,996,000 $239,000 $800,000 $65,000 $590,000
Application Approved But Not Accepted 939 $267,338,000 $284,000 $1,655,000 $111,000 $1,281,000
File Closed For Incompleteness 136 $38,648,000 $284,000 $1,070,000 $103,000 $355,000
Loan Purchased By The Institution 20 $2,350,000 $117,000 $206,000 $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 Boeing Employees Credit Union'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 Boeing Employees 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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