Teachers Federal Credit Union Mortgage Lending & HMDA Data, 2016
In 2016, Teachers Federal Credit Union of Hauppauge, NY reported 2,972 mortgage applications totaling $737.6 million, up 37% from 2015. The average application was for $248,193, and applicants reported an average income of $139,404. 71% of its applications resulted in an originated loan and 5% were denied. Its largest markets were Nassau County-Suffolk County, NY (2,774), New York-Jersey City-White Plains, NY-NJ (123) and Charlotte-Concord-Gastonia, NC-SC (5) (applications in parentheses).
| Mortgage Company & Address | Teachers Federal Credit Union 102 Motor Parkway Hauppauge, NY 11788 Tel #: available with data download |
| Federal Regulator | * available with data download |
| Years | 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 |
| Total Number of Mortgage Applications | 2,972 |
| Total Mortgage Loan Application Amount | $737,631,000 |
| Average Mortgage Loan Application Amount | $248,193 |
| Highest Mortgage Loan Application Amount | $2,160,000 |
| Average Applicant Income | $139,404 |
| Highest Applicant Income | $2,022,000 |
About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Teachers Federal Credit Union filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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.
Mortgage Loan Application Detail Totals for Teachers Federal Credit Union in 2016
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 | 2,040 | $549,386,000 | $269,000 | $2,160,000 | $144,000 | $2,022,000 |
| Home Purchase | 627 | $167,945,000 | $267,000 | $1,590,000 | $130,000 | $1,100,000 |
| Home Improvement | 305 | $20,300,000 | $66,000 | $440,000 | $128,000 | $903,000 |
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 | 2,328 | $570,904,000 | $245,000 | $2,160,000 | $139,000 | $2,022,000 |
| Not Provided | 270 | $75,037,000 | $277,000 | $1,590,000 | $157,000 | $578,000 |
| Asian | 153 | $43,793,000 | $286,000 | $740,000 | $139,000 | $504,000 |
| Hispanic | 140 | $32,277,000 | $230,000 | $855,000 | $118,000 | $392,000 |
| Black or African American | 59 | $12,032,000 | $203,000 | $485,000 | $93,000 | $179,000 |
| Not applicable | 13 | $1,548,000 | $119,000 | $350,000 | $141,000 | $431,000 |
| American Indian or Alaskan Native | 9 | $2,040,000 | $226,000 | $450,000 | $149,000 | $395,000 |
| Native Hawaiin or Other 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) | 2,972 | $737,631,000 | $248,000 | $2,160,000 | $139,000 | $2,022,000 |
| 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 | 2,119 | $506,280,000 | $238,000 | $1,590,000 | $136,000 | $1,388,000 |
| Application Withdrawn By Applicant | 540 | $145,360,000 | $269,000 | $907,000 | $154,000 | $2,022,000 |
| Application Denied By Financial Institution | 157 | $40,005,000 | $254,000 | $725,000 | $117,000 | $1,037,000 |
| Application Approved But Not Accepted | 129 | $39,187,000 | $303,000 | $2,160,000 | $158,000 | $629,000 |
| File Closed For Incompleteness | 27 | $6,799,000 | $251,000 | $540,000 | $139,000 | $250,000 |
| 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 |
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 | 58 | $15,857,000 | $273,000 | $700,000 | $150,000 | $480,000 |
| Debt-To-Income Ratio | 40 | $9,914,000 | $247,000 | $700,000 | $73,000 | $173,000 |
| Other | 39 | $8,472,000 | $217,000 | $725,000 | $100,000 | $321,000 |
| Credit History | 8 | $2,056,000 | $257,000 | $400,000 | $103,000 | $181,000 |
| Unverifiable Information | 7 | $2,258,000 | $322,000 | $500,000 | $226,000 | $1,037,000 |
| Insufficient Cash (Downpayment, Closing Cost) | 2 | $656,000 | $328,000 | $401,000 | $91,000 | $146,000 |
| Mortgage Insurance Denied | 0 | $0 | $0 | $0 | $0 | $0 |
| Employment History | 0 | $0 | $0 | $0 | $0 | $0 |
| Credit Application Incomplete | 0 | $0 | $0 | $0 | $0 | $0 |
Our comprehensive HMDA mortgage statistics provide invaluable insights into Teachers Federal Credit Union's 2016 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 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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