Washington Area Teachers Federal Credit Union Mortgage Lending & HMDA Data, 2015
In 2015, Washington Area Teachers Federal Credit Union of Washington, PA reported 33 mortgage applications totaling $1.1 million, down 53% from 2014. The average application was for $32,303, and applicants reported an average income of $80,666. 85% of its applications resulted in an originated loan and 6% were denied. Its largest markets were Pittsburgh, PA (28), Virginia Beach-Norfolk-Newport News, VA-NC (1) and Weirton-Steubenville, WV-OH (1) (applications in parentheses).
| Mortgage Company & Address | Washington Area Teachers Federal Credit Union 75 Landings Drive Washington, PA 15301 Tel #: available with data download |
| Federal Regulator | * available with data download |
| Years | 2017 2016 2015 2014 2013 2012 2011 2010 |
| Total Number of Mortgage Applications | 33 |
| Total Mortgage Loan Application Amount | $1,066,000 |
| Average Mortgage Loan Application Amount | $32,303 |
| Highest Mortgage Loan Application Amount | $194,000 |
| Average Applicant Income | $80,666 |
| Highest Applicant Income | $196,000 |
About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Washington Area Teachers Federal Credit Union filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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.
| Metro Area | Total Number of Mortgage Loan Applications | Total Dollar Amount of Mortgage Loan Applications | Average Mortgage Loan Application Amount | Average Applicant Income |
|---|---|---|---|---|
| Pittsburgh, PA | 28 | $ 823,000 | $ 29,392 | $ 85,000 |
| Virginia Beach-Norfolk-Newport News, VA-NC | 1 | $ 10,000 | $ 10,000 | $ 50,000 |
| Weirton-Steubenville, WV-OH | 1 | $ 5,000 | $ 5,000 | $ 60,000 |
Mortgage Loan Application Detail Totals for Washington Area Teachers Federal Credit Union in 2015
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 | 28 | $507,000 | $18,000 | $100,000 | $85,000 | $196,000 |
| Home Purchase | 4 | $365,000 | $91,000 | $175,000 | $47,000 | $73,000 |
| Refinancing | 1 | $194,000 | $194,000 | $194,000 | $94,000 | $94,000 |
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 | 32 | $1,060,000 | $33,000 | $194,000 | $80,000 | $196,000 |
| American Indian or Alaskan Native | 1 | $6,000 | $6,000 | $6,000 | $85,000 | $85,000 |
| Asian | 0 | $0 | $0 | $0 | $0 | $0 |
| Black or African American | 0 | $0 | $0 | $0 | $0 | $0 |
| Hispanic | 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) | 33 | $1,066,000 | $32,000 | $194,000 | $80,000 | $196,000 |
| 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 | 28 | $934,000 | $33,000 | $194,000 | $81,000 | $131,000 |
| Application Denied By Financial Institution | 2 | $52,000 | $26,000 | $50,000 | $54,000 | $75,000 |
| Application Withdrawn By Applicant | 2 | $30,000 | $15,000 | $25,000 | $128,000 | $196,000 |
| Preapproval Approved but not Accepted | 1 | $50,000 | $50,000 | $50,000 | $29,000 | $29,000 |
| Preapproval Denied by Financial Institution | 0 | $0 | $0 | $0 | $0 | $0 |
| Application Approved But Not Accepted | 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 |
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 | 1 | $50,000 | $50,000 | $50,000 | $34,000 | $34,000 |
| Collateral | 1 | $2,000 | $2,000 | $2,000 | $75,000 | $75,000 |
| 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 |
| Unverifiable Information | 0 | $0 | $0 | $0 | $0 | $0 |
Our comprehensive HMDA mortgage statistics provide invaluable insights into Washington Area Teachers Federal Credit Union's 2015 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 Washington Area Teachers Federal 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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