United Nations Federal CU Mortgage Lending & HMDA Data, 2007
In 2007, United Nations Federal CU of Long Island City, NY reported 1,296 mortgage applications totaling $324.8 million, up 2% from 2006. The average application was for $250,601, and applicants reported an average income of $128,469. 65% of its applications resulted in an originated loan and 8% were denied. Its largest markets were New York-White Plains-Wayne, NY-NJ (694), Nassau-Suffolk, NY (68) and Newark-Union, NJ-PA (60) (applications in parentheses).
| Mortgage Company & Address | United Nations Federal CU 24-01 44th Road 7th Floor Long Island City, NY 11101 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 | 1,296 |
| Total Mortgage Loan Application Amount | $324,779,000 |
| Average Mortgage Loan Application Amount | $250,601 |
| Highest Mortgage Loan Application Amount | $1,200,000 |
| Average Applicant Income | $128,469 |
| Highest Applicant Income | $1,107,000 |
About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records United Nations Federal CU filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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.
Mortgage Loan Application Detail Totals for United Nations Federal CU in 2007
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 Purchase | 627 | $215,926,000 | $344,000 | $1,200,000 | $127,000 | $379,000 |
| Home Improvement | 435 | $42,969,000 | $98,000 | $781,000 | $126,000 | $449,000 |
| Refinancing | 234 | $65,884,000 | $281,000 | $1,000,000 | $137,000 | $1,107,000 |
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 |
|---|---|---|---|---|---|---|
| Not Provided | 515 | $103,420,000 | $200,000 | $1,200,000 | $129,000 | $402,000 |
| White | 298 | $86,416,000 | $289,000 | $1,112,000 | $136,000 | $1,107,000 |
| Black or African American | 240 | $63,648,000 | $265,000 | $990,000 | $124,000 | $340,000 |
| Asian | 173 | $49,834,000 | $288,000 | $1,000,000 | $121,000 | $449,000 |
| Hispanic | 63 | $19,106,000 | $303,000 | $700,000 | $119,000 | $320,000 |
| Native Hawaiian or Other Pacific Islander | 7 | $2,355,000 | $336,000 | $590,000 | $149,000 | $268,000 |
| Not applicable | 0 | $0 | $0 | $0 | $0 | $0 |
| American Indian or Alaskan Native | 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) | 1,296 | $324,779,000 | $250,000 | $1,200,000 | $128,000 | $1,107,000 |
| 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 | 845 | $197,692,000 | $233,000 | $1,000,000 | $129,000 | $800,000 |
| Application Approved But Not Accepted | 179 | $43,959,000 | $245,000 | $816,000 | $132,000 | $1,107,000 |
| Preapproval Approved but not Accepted | 126 | $52,195,000 | $414,000 | $1,200,000 | $126,000 | $359,000 |
| Application Denied By Financial Institution | 100 | $23,160,000 | $231,000 | $863,000 | $104,000 | $311,000 |
| Application Withdrawn By Applicant | 46 | $7,773,000 | $168,000 | $650,000 | $150,000 | $288,000 |
| File Closed For Incompleteness | 0 | $0 | $0 | $0 | $0 | $0 |
| Preapproval Denied by Financial Institution | 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 |
|---|---|---|---|---|---|---|
| Debt-To-Income Ratio | 37 | $10,421,000 | $281,000 | $842,000 | $101,000 | $248,000 |
| Collateral | 23 | $3,081,000 | $133,000 | $700,000 | $117,000 | $311,000 |
| Credit History | 20 | $5,579,000 | $278,000 | $500,000 | $93,000 | $156,000 |
| Insufficient Cash (Downpayment, Closing Cost) | 2 | $581,000 | $290,000 | $385,000 | $83,000 | $103,000 |
| Other | 2 | $110,000 | $55,000 | $60,000 | $67,000 | $68,000 |
| Unverifiable Information | 1 | $863,000 | $863,000 | $863,000 | $296,000 | $296,000 |
| Mortgage Insurance Denied | 1 | $338,000 | $338,000 | $338,000 | $74,000 | $74,000 |
| Credit Application Incomplete | 0 | $0 | $0 | $0 | $0 | $0 |
| Employment History | 0 | $0 | $0 | $0 | $0 | $0 |
Our comprehensive HMDA mortgage statistics provide invaluable insights into United Nations Federal CU's 2007 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 United Nations Federal 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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