Broadway Bank Mortgage Lending & HMDA Data, 2006
In 2006, Broadway Bank of Chicago`, IL reported 27 mortgage applications totaling $57.1 million, up 59% from 2005. The average application was for $2,116,407, and applicants reported an average income of $8,296. 100% of its applications resulted in an originated loan and 0% were denied. Its largest markets were Chicago-Naperville-Joliet, IL (18), Lake County-Kenosha County, IL-WI (3) and Dallas-Plano-Irving, TX (2) (applications in parentheses).
| Mortgage Company & Address | Broadway Bank 5960 N Broadway Chicago`, IL 60660 Tel #: available with data download |
| Federal Regulator | * available with data download |
| Years | 2009 2008 2007 2006 2005 2004 2003 |
| Total Number of Mortgage Applications | 27 |
| Total Mortgage Loan Application Amount | $57,143,000 |
| Average Mortgage Loan Application Amount | $2,116,407 |
| Highest Mortgage Loan Application Amount | $10,500,000 |
| Average Applicant Income | $8,296 |
| Highest Applicant Income | $152,000 |
About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Broadway Bank filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 |
|---|---|---|---|---|
| Chicago-Naperville-Joliet, IL | 18 | $ 26,567,000 | $ 1,475,944 | $ 4,000 |
| Lake County-Kenosha County, IL-WI | 3 | $ 1,805,000 | $ 601,666 | $ 50,000 |
| Dallas-Plano-Irving, TX | 2 | $ 3,325,000 | $ 1,662,500 | $ 0 |
| New York-White Plains-Wayne, NY-NJ | 2 | $ 12,774,000 | $ 6,387,000 | $ 0 |
| Miami-Miami Beach-Kendall, FL | 1 | $ 10,500,000 | $ 10,500,000 | $ 0 |
| Sarasota-Bradenton-Venice, FL | 1 | $ 2,172,000 | $ 2,172,000 | $ 0 |
Mortgage Loan Application Detail Totals for Broadway Bank in 2006
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 | 15 | $37,846,000 | $2,523,000 | $8,000,000 | $0 | $0 |
| Home Improvement | 8 | $8,232,000 | $1,029,000 | $3,450,000 | $9,000 | $77,000 |
| Refinancing | 4 | $11,065,000 | $2,766,000 | $10,500,000 | $38,000 | $152,000 |
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 |
|---|---|---|---|---|---|---|
| Not applicable | 15 | $51,273,000 | $3,418,000 | $10,500,000 | $0 | $0 |
| White | 10 | $4,470,000 | $447,000 | $1,025,000 | $22,000 | $152,000 |
| Asian | 1 | $685,000 | $685,000 | $685,000 | $0 | $0 |
| Hispanic | 1 | $715,000 | $715,000 | $715,000 | $0 | $0 |
| Native Hawaiian or Other Pacific Islander | 0 | $0 | $0 | $0 | $0 | $0 |
| Black or African American | 0 | $0 | $0 | $0 | $0 | $0 |
| American Indian or Alaskan Native | 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) | 27 | $57,143,000 | $2,116,000 | $10,500,000 | $8,000 | $152,000 |
| 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 | 27 | $57,143,000 | $2,116,000 | $10,500,000 | $8,000 | $152,000 |
| 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 |
| Application Approved But Not Accepted | 0 | $0 | $0 | $0 | $0 | $0 |
| Application Denied By Financial Institution | 0 | $0 | $0 | $0 | $0 | $0 |
| Application Withdrawn By Applicant | 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 |
|---|---|---|---|---|---|---|
| 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 Broadway Bank's 2006 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 Broadway Bank'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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