U.S. Postal Service Federal Credit Union Mortgage Lending & HMDA Data, 2005
In 2005, U.S. Postal Service Federal Credit Union of Clinton, MD reported 103 mortgage applications totaling $10.4 million. The average application was for $100,737, and applicants reported an average income of $76,388. 100% of its applications resulted in an originated loan and 0% were denied. Its largest markets were Los Angeles-Long Beach-Glendale, CA (19), Baltimore-Towson, MD (6) and Washington-Arlington-Alexandria, DC-VA-MD-WV (5) (applications in parentheses).
| Mortgage Company & Address | U.S. Postal Service Federal Credit Union 7905 Malcolm Rd Ste 311 Clinton, MD 20735 Tel #: available with data download |
| Federal Regulator | * available with data download |
| Years | 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 |
| Total Number of Mortgage Applications | 103 |
| Total Mortgage Loan Application Amount | $10,376,000 |
| Average Mortgage Loan Application Amount | $100,737 |
| Highest Mortgage Loan Application Amount | $1,327,000 |
| Average Applicant Income | $76,388 |
| Highest Applicant Income | $170,000 |
About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records U.S. Postal Service Federal Credit Union filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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.
| County | Total Number of Mortgage Loan Applications | Total Dollar Amount of Mortgage Loans Applications | Average Mortgage Loan Application Amount | Average Applicant Income |
|---|---|---|---|---|
| Prince George's, Maryland | 20 | $ 1,855,000 | $ 92,750 | $ 69,000 |
| Los Angeles, California | 19 | $ 917,000 | $ 48,263 | $ 77,000 |
| District of Columbia, District Of Columbia | 5 | $ 1,691,000 | $ 338,200 | $ 70,000 |
| Montgomery, Maryland | 4 | $ 279,000 | $ 69,750 | $ 73,000 |
| Fairfax, Virginia | 3 | $ 173,000 | $ 57,666 | $ 75,000 |
| Prince William, Virginia | 3 | $ 1,426,000 | $ 475,333 | $ 88,000 |
| Sacramento, California | 2 | $ 667,000 | $ 333,500 | $ 75,000 |
| Anne Arundel, Maryland | 2 | $ 95,000 | $ 47,500 | $ 70,000 |
| Baltimore, Maryland | 2 | $ 80,000 | $ 40,000 | $ 75,000 |
| Calvert, Maryland | 2 | $ 175,000 | $ 87,500 | $ 102,000 |
| Allegheny, Pennsylvania | 2 | $ 56,000 | $ 28,000 | $ 72,000 |
| Kern, California | 1 | $ 80,000 | $ 80,000 | $ 90,000 |
| Ventura, California | 1 | $ 31,000 | $ 31,000 | $ 65,000 |
| New Castle, Delaware | 1 | $ 35,000 | $ 35,000 | $ 65,000 |
| Cook, Illinois | 1 | $ 30,000 | $ 30,000 | $ 85,000 |
| LaPorte, Indiana | 1 | $ 776,000 | $ 776,000 | $ 85,000 |
| Baltimore City, Maryland | 1 | $ 50,000 | $ 50,000 | $ 65,000 |
| Charles, Maryland | 1 | $ 30,000 | $ 30,000 | $ 65,000 |
| Harford, Maryland | 1 | $ 59,000 | $ 59,000 | $ 70,000 |
| St. Mary's, Maryland | 1 | $ 52,000 | $ 52,000 | $ 85,000 |
| Lauderdale, Mississippi | 1 | $ 25,000 | $ 25,000 | $ 65,000 |
| Camden, New Jersey | 1 | $ 60,000 | $ 60,000 | $ 65,000 |
| Union, New Jersey | 1 | $ 75,000 | $ 75,000 | $ 75,000 |
| Cattaraugus, New York | 1 | $ 40,000 | $ 40,000 | $ 65,000 |
| Kings, New York | 1 | $ 40,000 | $ 40,000 | $ 65,000 |
| Orleans, New York | 1 | $ 60,000 | $ 60,000 | $ 70,000 |
| Richmond, New York | 1 | $ 25,000 | $ 25,000 | $ 88,000 |
| Saratoga, New York | 1 | $ 18,000 | $ 18,000 | $ 95,000 |
| Westchester, New York | 1 | $ 72,000 | $ 72,000 | $ 80,000 |
| Wake, North Carolina | 1 | $ 65,000 | $ 65,000 | $ 85,000 |
| Bucks, Pennsylvania | 1 | $ 12,000 | $ 12,000 | $ 65,000 |
| Philadelphia, Pennsylvania | 1 | $ 70,000 | $ 70,000 | $ 75,000 |
| Caroline, Virginia | 1 | $ 85,000 | $ 85,000 | $ 85,000 |
| Loudoun, Virginia | 1 | $ 50,000 | $ 50,000 | $ 85,000 |
| Manassas, Virginia | 1 | $ 75,000 | $ 75,000 | $ 85,000 |
| Orange, Virginia | 1 | $ 36,000 | $ 36,000 | $ 65,000 |
| Spotsylvania, Virginia | 1 | $ 30,000 | $ 30,000 | $ 85,000 |
Mortgage Loan Application Detail Totals for U.S. Postal Service Federal Credit Union in 2005
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 | 87 | $6,572,000 | $107,692 | $776,000 | $73,846 | $120,000 |
| Refinancing | 11 | $3,621,000 | $373,833 | $1,327,000 | $82,166 | $170,000 |
| Home Purchase | 5 | $183,000 | $39,500 | $70,000 | $78,750 | $95,000 |
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 |
|---|---|---|---|---|---|---|
| Black or African American | 36 | $4,129,000 | $95,800 | $1,268,000 | $76,700 | $170,000 |
| White | 31 | $3,990,000 | $169,375 | $1,327,000 | $80,125 | $120,000 |
| Hispanic | 14 | $1,299,000 | $79,000 | $623,000 | $74,666 | $100,000 |
| Not applicable | 10 | $436,000 | $47,400 | $90,000 | $74,000 | $95,000 |
| Not Provided | 10 | $402,000 | $41,714 | $60,000 | $62,857 | $100,000 |
| American Indian or Alaskan Native | 2 | $120,000 | $60,000 | $90,000 | $87,500 | $90,000 |
| Asian | 0 | $0 | $0 | $0 | $0 | $0 |
| Native Hawaiian 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) | 103 | $10,376,000 | $139,076 | $1,327,000 | $75,615 | $170,000 |
| 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 | 103 | $10,376,000 | $139,076 | $1,327,000 | $75,615 | $170,000 |
| 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 U.S. Postal Service Federal Credit Union's 2005 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 U.S. Postal Service 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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