Usc Credit Union Mortgage Lending & HMDA Data, 2003

In 2003, Usc Credit Union of Los Angeles, CA reported 826 mortgage applications totaling $185.7 million. The average application was for $224,874, and applicants reported an average income of $107,416. 77% of its applications resulted in an originated loan and 4% were denied. Its largest markets were Los Angeles-Long Beach, CA (678), Orange County, CA (59) and Riverside-San Bernardino, CA (41) (applications in parentheses).

Mortgage Company & Address Usc Credit Union
3720 South Flower Street
Los Angeles, CA 90007
Tel #: available with data download
Federal Regulator * available with data download
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Total Number of Mortgage Applications 826
Total Mortgage Loan Application Amount $185,746,000
Average Mortgage Loan Application Amount $224,874
Highest Mortgage Loan Application Amount $1,000,000
Average Applicant Income $107,416
Highest Applicant Income $575,000

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Act (HMDA) records Usc Credit Union filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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

Metro Area Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loan Applications Average Mortgage Loan Application Amount Average Applicant Income
Los Angeles-Long Beach, CA 678 $ 153,035,000 $ 225,715 $ 95,000
Orange County, CA 59 $ 14,217,000 $ 240,966 $ 130,000
Riverside-San Bernardino, CA 41 $ 6,540,000 $ 159,512 $ 84,000
San Diego, CA 17 $ 4,607,000 $ 271,000 $ 124,000
Ventura, CA 8 $ 2,135,000 $ 266,875 $ 107,000
Oakland, CA 5 $ 973,000 $ 194,600 $ 164,000
San Jose, CA 3 $ 808,000 $ 269,333 $ 100,000
Bakersfield, CA 2 $ 194,000 $ 97,000 $ 62,000
Fresno, CA 2 $ 575,000 $ 287,500 $ 169,000
Sacramento, CA 2 $ 330,000 $ 165,000 $ 107,000
Salinas, CA 2 $ 520,000 $ 260,000 $ 72,000
San Luis Obispo-Atascadero-Paso Robles, CA 2 $ 582,000 $ 291,000 $ 194,000
Santa Cruz-Watsonville, CA 2 $ 700,000 $ 350,000 $ 107,000
San Francisco, CA 1 $ 165,000 $ 165,000 $ 96,000
Visalia-Tulare-Porterville, CA 1 $ 225,000 $ 225,000 $ 175,000

Mortgage Loan Application Detail Totals for Usc 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
Refinancing (home purchase or home improvement, one-to-four family) 653 $146,980,000 $225,000 $1,000,000 $109,000 $575,000
Home Purchase (one-to-four family) 128 $36,086,000 $281,000 $704,000 $103,000 $463,000
Home Improvement (one-to-four family) 45 $2,680,000 $59,000 $400,000 $97,000 $405,000
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 300 $72,873,000 $242,000 $650,000 $112,000 $463,000
Information not provided by applicant in mail or telephone application 231 $52,288,000 $226,000 $1,000,000 $117,000 $480,000
Hispanic 143 $25,847,000 $180,000 $590,000 $91,000 $575,000
Asian or Pacific Islander 93 $22,798,000 $245,000 $704,000 $100,000 $265,000
Black 42 $7,283,000 $173,000 $433,000 $79,000 $186,000
Other 12 $3,152,000 $262,000 $666,000 $116,000 $165,000
American Indian or Alaskan Native 5 $1,505,000 $301,000 $445,000 $113,000 $236,000
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) 825 $185,658,000 $225,000 $1,000,000 $106,000 $575,000
FHA-insured (Federal Housing Administration) 1 $88,000 $88,000 $88,000 $88,000 $88,000
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 633 $138,912,000 $219,000 $841,000 $104,000 $444,000
Application Withdrawn By Applicant 155 $39,683,000 $256,000 $650,000 $108,000 $575,000
Application Denied By Financial Institution 37 $7,010,000 $189,000 $1,000,000 $106,000 $480,000
Application Approved But Not Accepted 1 $141,000 $141,000 $141,000 $237,000 $237,000
File Closed For Incompleteness 0 $0 $0 $0 $0 $0
Loan Purchased By The 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 22 $3,867,000 $175,000 $475,000 $96,000 $405,000
Debt-To-Income Ratio 7 $607,000 $86,000 $225,000 $46,000 $64,000
Collateral 4 $811,000 $202,000 $400,000 $103,000 $162,000
Other 2 $355,000 $177,000 $205,000 $68,000 $99,000
Credit Application Incomplete 1 $1,000,000 $1,000,000 $1,000,000 $480,000 $480,000
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 Usc 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 Usc 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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