Telco Triad Community CU Mortgage Lending & HMDA Data, 2010
In 2010, Telco Triad Community CU of Sioux City, IA reported 137 mortgage applications totaling $2.5 million, down 34% from 2009. The average application was for $18,423, and applicants reported an average income of $70,343. 88% of its applications resulted in an originated loan and 10% were denied. Its largest markets were Sioux City, IA-NE-SD (105) and Omaha-Council Bluffs, NE-IA (1).
| Mortgage Company & Address | Telco Triad Community CU 1420 Tri View Ave Sioux City, IA 51103 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 | 137 |
| Total Mortgage Loan Application Amount | $2,524,000 |
| Average Mortgage Loan Application Amount | $18,423 |
| Highest Mortgage Loan Application Amount | $130,000 |
| Average Applicant Income | $70,343 |
| Highest Applicant Income | $1,723,000 |
About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Telco Triad Community CU filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 |
|---|---|---|---|---|
| Sioux City, IA-NE-SD | 105 | $ 2,059,000 | $ 19,609 | $ 77,342 |
| Omaha-Council Bluffs, NE-IA | 1 | $ 7,000 | $ 7,000 | $ 34,000 |
Mortgage Loan Application Detail Totals for Telco Triad Community CU in 2010
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 Improvement | 97 | $1,014,000 | $10,000 | $71,000 | $61,000 | $148,000 |
| Refinancing | 32 | $1,084,000 | $33,000 | $109,000 | $108,000 | $1,723,000 |
| Home Purchase | 8 | $426,000 | $53,000 | $130,000 | $33,000 | $64,000 |
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 | 117 | $2,153,000 | $18,000 | $130,000 | $74,000 | $1,723,000 |
| Hispanic | 16 | $300,000 | $18,000 | $53,000 | $40,000 | $79,000 |
| Native Hawaiian or Other Pacific Islander | 1 | $18,000 | $18,000 | $18,000 | $56,000 | $56,000 |
| American Indian or Alaskan Native | 1 | $31,000 | $31,000 | $31,000 | $39,000 | $39,000 |
| Asian | 1 | $15,000 | $15,000 | $15,000 | $148,000 | $148,000 |
| Black or African American | 1 | $7,000 | $7,000 | $7,000 | $34,000 | $34,000 |
| 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 |
|---|---|---|---|---|---|---|
| FHA-insured (Federal Housing Administration) | 87 | $734,000 | $8,000 | $55,000 | $62,000 | $148,000 |
| Conventional (any loan other than FHA, VA, FSA, or RHS loans) | 50 | $1,790,000 | $35,000 | $130,000 | $84,000 | $1,723,000 |
| 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 | 121 | $1,942,000 | $16,000 | $109,000 | $76,000 | $1,723,000 |
| Application Denied By Financial Institution | 14 | $515,000 | $36,000 | $130,000 | $27,000 | $64,000 |
| Application Withdrawn By Applicant | 2 | $67,000 | $33,000 | $37,000 | $39,000 | $60,000 |
| File Closed For Incompleteness | 0 | $0 | $0 | $0 | $0 | $0 |
| Application Approved But Not Accepted | 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 | 6 | $149,000 | $24,000 | $47,000 | $22,000 | $35,000 |
| Credit History | 3 | $65,000 | $21,000 | $26,000 | $24,000 | $51,000 |
| Insufficient Cash (Downpayment, Closing Cost) | 2 | $130,000 | $65,000 | $80,000 | $50,000 | $64,000 |
| Other | 1 | $25,000 | $25,000 | $25,000 | $0 | $0 |
| Employment History | 1 | $130,000 | $130,000 | $130,000 | $54,000 | $54,000 |
| Collateral | 1 | $16,000 | $16,000 | $16,000 | $28,000 | $28,000 |
| Credit Application Incomplete | 0 | $0 | $0 | $0 | $0 | $0 |
| Unverifiable Information | 0 | $0 | $0 | $0 | $0 | $0 |
| Mortgage Insurance Denied | 0 | $0 | $0 | $0 | $0 | $0 |
Our comprehensive HMDA mortgage statistics provide invaluable insights into Telco Triad Community CU's 2010 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 Telco Triad Community CU'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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