Los Angeles Federal Credit Union Mortgage Lending & HMDA Data, 2003

In 2003, Los Angeles Federal Credit Union of Glendale, CA reported 937 mortgage applications totaling $126.0 million. The average application was for $134,486, and applicants reported an average income of $83,531. 0% of its applications resulted in an originated loan and 6% were denied. Its largest markets were Los Angeles-Long Beach, CA (771), Riverside-San Bernardino, CA (85) and Orange County, CA (35) (applications in parentheses).

Mortgage Company & Address Los Angeles Federal Credit Union
300 S. Glendale Ave.
Glendale, CA 91205
Tel #: available with data download
Federal Regulator * available with data download
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Total Number of Mortgage Applications 937
Total Mortgage Loan Application Amount $126,014,000
Average Mortgage Loan Application Amount $134,486
Highest Mortgage Loan Application Amount $585,000
Average Applicant Income $83,531
Highest Applicant Income $347,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Los Angeles Federal Credit Union filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Los Angeles Federal Credit Union by County in 2003

County Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loans Applications Average Mortgage Loan Application Amount Average Applicant Income
Los Angeles, California 771 $ 102,284,000 $ 132,664 $ 77,000
San Bernardino, California 59 $ 7,264,000 $ 123,118 $ 80,000
Orange, California 35 $ 6,029,000 $ 172,257 $ 99,000
Riverside, California 26 $ 3,216,000 $ 123,692 $ 77,000
Ventura, California 26 $ 4,525,000 $ 174,038 $ 84,000
Clark, Nevada 7 $ 945,000 $ 135,000 $ 141,000
Kern, California 5 $ 364,000 $ 72,800 $ 53,000
San Diego, California 3 $ 712,000 $ 237,333 $ 53,000
Inyo, California 1 $ 159,000 $ 159,000 $ 68,000
Mono, California 1 $ 80,000 $ 80,000 $ 35,000
Sacramento, California 1 $ 101,000 $ 101,000 $ 33,000
San Joaquin, California 1 $ 198,000 $ 198,000 $ 205,000
Clark, Washington 1 $ 137,000 $ 137,000 $ 61,000

Mortgage Loan Application Detail Totals for Los Angeles Federal Credit Union in 2003

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 (one-to-four family) 653 $89,793,000 $137,333 $585,000 $103,000 $347,000
Refinancing (home purchase or home improvement, one-to-four family) 248 $32,921,000 $123,500 $553,000 $68,000 $252,000
Home Improvement (one-to-four family) 36 $3,300,000 $91,000 $440,000 $75,000 $175,000
Multifamily dwelling (home purchase, home improvement, and refinancings) 0 $0 $0 $0 $0 $0

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 245 $35,803,000 $141,500 $585,000 $72,500 $268,000
Hispanic 239 $28,880,000 $160,000 $432,000 $210,000 $347,000
Black 157 $20,845,000 $117,500 $525,000 $85,000 $313,000
Information not provided by applicant in mail or telephone application 115 $16,452,000 $135,500 $440,000 $80,000 $259,000
Asian or Pacific Islander 111 $16,572,000 $151,500 $454,000 $87,500 $222,000
Not applicable 36 $2,151,000 $59,000 $250,000 $88,000 $270,000
Other 32 $5,131,000 $160,000 $369,000 $92,000 $178,000
American Indian or Alaskan Native 2 $180,000 $90,000 $150,000 $95,000 $126,000

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) 937 $126,014,000 $135,333 $585,000 $94,000 $347,000
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 Purchased By The Institution 711 $94,475,000 $134,666 $585,000 $94,333 $347,000
Application Withdrawn By Applicant 164 $23,668,000 $144,000 $553,000 $84,000 $252,000
Application Denied By Financial Institution 58 $7,480,000 $128,000 $494,000 $72,000 $182,000
Loan Originated 4 $391,000 $97,000 $166,000 $100,000 $144,000
Application Approved But Not Accepted 0 $0 $0 $0 $0 $0
File Closed For Incompleteness 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 27 $3,696,000 $136,000 $494,000 $57,000 $106,000
Other 13 $1,414,000 $108,000 $225,000 $90,000 $178,000
Credit History 12 $1,722,000 $143,000 $300,000 $70,000 $125,000
Collateral 6 $648,000 $108,000 $195,000 $78,000 $182,000
Credit Application Incomplete 0 $0 $0 $0 $0 $0
Unverifiable Information 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

Our comprehensive HMDA mortgage statistics provide invaluable insights into Los Angeles Federal Credit Union's 2003 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 Los Angeles Federal 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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