In 2003, Railroad & Industrial FCU of Tampa, FL reported 57 mortgage applications totaling $12.0 million. The average application was for $211,052, and applicants reported an average income of $51,491. 82% of its applications resulted in an originated loan and 18% were denied. Its largest markets were Tampa-St. Petersburg-Clearwater, FL (49), Lakeland-Winter Haven, FL (4) and Sarasota-Bradenton, FL (3) (applications in parentheses).
| Mortgage Company & Address | Railroad & Industrial FCU 3710 N 50th Street Tampa, FL 33619 Tel #: available with data download |
| Federal Regulator | * available with data download |
| Years | 2003 |
| Total Number of Mortgage Applications | 57 |
| Total Mortgage Loan Application Amount | $12,030,000 |
| Average Mortgage Loan Application Amount | $211,052 |
| Highest Mortgage Loan Application Amount | $8,120,000 |
| Average Applicant Income | $51,491 |
| Highest Applicant Income | $259,000 |
About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Railroad & Industrial FCU filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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.
| County | Total Number of Mortgage Loan Applications | Total Dollar Amount of Mortgage Loans Applications | Average Mortgage Loan Application Amount | Average Applicant Income |
|---|---|---|---|---|
| Hillsborough, Florida | 44 | $ 2,631,000 | $ 59,795 | $ 42,000 |
| Polk, Florida | 4 | $ 328,000 | $ 82,000 | $ 53,000 |
| Manatee, Florida | 3 | $ 8,685,000 | $ 2,895,000 | $ 187,000 |
| Pasco, Florida | 3 | $ 294,000 | $ 98,000 | $ 30,000 |
| DeSoto, Florida | 1 | $ 32,000 | $ 32,000 | $ 25,000 |
| Hernando, Florida | 1 | $ 25,000 | $ 25,000 | $ 98,000 |
| Pinellas, Florida | 1 | $ 35,000 | $ 35,000 | $ 41,000 |
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) | 35 | $2,490,000 | $71,000 | $200,000 | $43,000 | $143,000 |
| Home Improvement (one-to-four family) | 14 | $619,000 | $44,000 | $200,000 | $45,000 | $98,000 |
| Home Purchase (one-to-four family) | 8 | $8,921,000 | $1,115,000 | $8,120,000 | $100,000 | $259,000 |
| 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 | 39 | $2,623,000 | $67,000 | $200,000 | $48,000 | $128,000 |
| Hispanic | 7 | $8,781,000 | $1,254,000 | $8,120,000 | $102,000 | $259,000 |
| Black | 6 | $314,000 | $52,000 | $76,000 | $36,000 | $73,000 |
| Information not provided by applicant in mail or telephone application | 5 | $312,000 | $62,000 | $107,000 | $57,000 | $143,000 |
| Not applicable | 0 | $0 | $0 | $0 | $0 | $0 |
| Other | 0 | $0 | $0 | $0 | $0 | $0 |
| American Indian or Alaskan Native | 0 | $0 | $0 | $0 | $0 | $0 |
| Asian or Pacific Islander | 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) | 57 | $12,030,000 | $211,000 | $8,120,000 | $56,000 | $259,000 |
| 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 | 47 | $2,910,000 | $61,000 | $200,000 | $46,000 | $143,000 |
| Application Denied By Financial Institution | 10 | $9,120,000 | $912,000 | $8,120,000 | $73,000 | $259,000 |
| 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 |
| Application Approved But Not Accepted | 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 | 5 | $360,000 | $72,000 | $153,000 | $32,000 | $52,000 |
| Collateral | 4 | $8,710,000 | $2,177,000 | $8,120,000 | $127,000 | $259,000 |
| Unverifiable Information | 1 | $50,000 | $50,000 | $50,000 | $115,000 | $115,000 |
| Credit Application Incomplete | 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 |
Our comprehensive HMDA mortgage statistics provide invaluable insights into Railroad & Industrial FCU'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 Railroad & Industrial FCU'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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