1st Bank Yuma Mortgage Lending & HMDA Data, 2009
In 2009, 1st Bank Yuma of Yuma, AZ reported 68 mortgage applications totaling $11.4 million, up 6% from 2008. The average application was for $167,220, and applicants reported an average income of $92,426. 74% of its applications resulted in an originated loan and 12% were denied. Its largest markets were Yuma, AZ (64), Phoenix-Mesa-Scottsdale, AZ (2) and Lake Havasu City-Kingman, AZ (1) (applications in parentheses).
| Mortgage Company & Address | 1st Bank Yuma 2799 S 4th Avenue Yuma, AZ 85364 Tel #: available with data download |
| Federal Regulator | * available with data download |
| Years | 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 |
| Total Number of Mortgage Applications | 68 |
| Total Mortgage Loan Application Amount | $11,371,000 |
| Average Mortgage Loan Application Amount | $167,220 |
| Highest Mortgage Loan Application Amount | $925,000 |
| Average Applicant Income | $92,426 |
| Highest Applicant Income | $552,000 |
About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records 1st Bank Yuma filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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.
| Metro Area | Total Number of Mortgage Loan Applications | Total Dollar Amount of Mortgage Loan Applications | Average Mortgage Loan Application Amount | Average Applicant Income |
|---|---|---|---|---|
| Yuma, AZ | 64 | $ 10,385,000 | $ 162,265 | $ 85,000 |
| Phoenix-Mesa-Scottsdale, AZ | 2 | $ 269,000 | $ 134,500 | $ 64,000 |
| Lake Havasu City-Kingman, AZ | 1 | $ 300,000 | $ 300,000 | $ 150,000 |
| San Diego-Carlsbad-San Marcos, CA | 1 | $ 417,000 | $ 417,000 | $ 541,000 |
Mortgage Loan Application Detail Totals for 1st Bank Yuma in 2009
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 | 36 | $7,023,000 | $195,000 | $925,000 | $103,000 | $552,000 |
| Home Purchase | 31 | $4,316,000 | $139,000 | $417,000 | $82,000 | $541,000 |
| Home Improvement | 1 | $32,000 | $32,000 | $32,000 | $35,000 | $35,000 |
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 | 37 | $7,079,000 | $191,000 | $925,000 | $113,000 | $552,000 |
| Hispanic | 30 | $3,875,000 | $129,000 | $367,000 | $51,000 | $184,000 |
| Black or African American | 1 | $417,000 | $417,000 | $417,000 | $541,000 | $541,000 |
| American Indian or Alaskan Native | 0 | $0 | $0 | $0 | $0 | $0 |
| Asian | 0 | $0 | $0 | $0 | $0 | $0 |
| Native Hawaiian or Other Pacific Islander | 0 | $0 | $0 | $0 | $0 | $0 |
| Not applicable | 0 | $0 | $0 | $0 | $0 | $0 |
| Not Provided | 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) | 44 | $7,841,000 | $178,000 | $925,000 | $103,000 | $541,000 |
| FHA-insured (Federal Housing Administration) | 20 | $2,786,000 | $139,000 | $242,000 | $78,000 | $552,000 |
| VA-guaranteed (Veterans Administration) | 4 | $744,000 | $186,000 | $205,000 | $40,000 | $59,000 |
| 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 | 50 | $8,817,000 | $176,000 | $925,000 | $94,000 | $541,000 |
| Application Approved But Not Accepted | 10 | $1,556,000 | $155,000 | $300,000 | $115,000 | $552,000 |
| Application Denied By Financial Institution | 8 | $998,000 | $124,000 | $242,000 | $49,000 | $114,000 |
| Application Withdrawn By Applicant | 0 | $0 | $0 | $0 | $0 | $0 |
| File Closed For Incompleteness | 0 | $0 | $0 | $0 | $0 | $0 |
| 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 |
|---|---|---|---|---|---|---|
| Debt-To-Income Ratio | 3 | $351,000 | $117,000 | $154,000 | $29,000 | $34,000 |
| Collateral | 3 | $493,000 | $164,000 | $242,000 | $84,000 | $114,000 |
| Other | 2 | $154,000 | $77,000 | $84,000 | $27,000 | $31,000 |
| Unverifiable Information | 0 | $0 | $0 | $0 | $0 | $0 |
| Credit Application Incomplete | 0 | $0 | $0 | $0 | $0 | $0 |
| Credit History | 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 1st Bank Yuma's 2009 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 1st Bank Yuma'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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