Polish & Slavic Federal Credit Mortgage Lending & HMDA Data, 2015
In 2015, Polish & Slavic Federal Credit of Brooklyn, NY reported 984 mortgage applications totaling $264.1 million, up 20% from 2014. The average application was for $268,427, and applicants reported an average income of $67,185. 64% of its applications resulted in an originated loan and 11% were denied. Its largest markets were New York-Jersey City-White Plains, NY-NJ (401), Chicago-Naperville-Arlington Heights, IL (386) and Newark, NJ-PA (55) (applications in parentheses).
| Mortgage Company & Address | Polish & Slavic Federal Credit 100 McGuinness Blvd Brooklyn, NY 11222 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 | 984 |
| Total Mortgage Loan Application Amount | $264,133,000 |
| Average Mortgage Loan Application Amount | $268,427 |
| Highest Mortgage Loan Application Amount | $3,526,000 |
| Average Applicant Income | $67,185 |
| Highest Applicant Income | $493,000 |
About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Polish & Slavic Federal Credit filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 |
|---|---|---|---|---|
| New York-Jersey City-White Plains, NY-NJ | 401 | $ 160,543,000 | $ 400,356 | $ 72,498 |
| Chicago-Naperville-Arlington Heights, IL | 386 | $ 68,970,000 | $ 178,678 | $ 56,000 |
| Newark, NJ-PA | 55 | $ 12,309,000 | $ 223,800 | $ 86,545 |
| Nassau County-Suffolk County, NY | 26 | $ 6,723,000 | $ 258,576 | $ 109,000 |
| Montgomery County-Bucks County-Chester County, PA | 12 | $ 1,845,000 | $ 153,750 | $ 52,000 |
| North Port-Sarasota-Bradenton, FL | 12 | $ 1,424,000 | $ 118,666 | $ 62,000 |
| East Stroudsburg, PA | 11 | $ 1,034,000 | $ 94,000 | $ 63,000 |
| Allentown-Bethlehem-Easton, PA-NJ | 9 | $ 1,606,000 | $ 178,444 | $ 84,555 |
| Trenton, NJ | 9 | $ 1,190,000 | $ 132,222 | $ 60,000 |
| Camden, NJ | 7 | $ 777,000 | $ 111,000 | $ 59,000 |
| Deltona-Daytona Beach-Ormond Beach, FL | 7 | $ 928,000 | $ 132,571 | $ 56,000 |
| Lake County-Kenosha County, IL-WI | 7 | $ 1,064,000 | $ 152,000 | $ 53,000 |
| Tampa-St. Petersburg-Clearwater, FL | 7 | $ 566,000 | $ 80,857 | $ 51,000 |
| Dutchess County-Putnam County, NY | 4 | $ 742,000 | $ 185,500 | $ 68,000 |
| Orlando-Kissimmee-Sanford, FL | 4 | $ 385,000 | $ 96,250 | $ 106,000 |
| West Palm Beach-Boca Raton-Delray Beach, FL | 4 | $ 515,000 | $ 128,750 | $ 84,000 |
| Miami-Miami Beach-Kendall, FL | 3 | $ 924,000 | $ 308,000 | $ 119,000 |
| Philadelphia, PA | 3 | $ 286,000 | $ 95,333 | $ 31,000 |
| Naples-Immokalee-Marco Island, FL | 2 | $ 266,000 | $ 133,000 | $ 67,000 |
| Sebring, FL | 2 | $ 300,000 | $ 150,000 | $ 64,000 |
| Albany-Schenectady-Troy, NY | 1 | $ 360,000 | $ 360,000 | $ 122,000 |
| Crestview-Fort Walton Beach-Destin, FL | 1 | $ 50,000 | $ 50,000 | $ 26,000 |
| Elgin, IL | 1 | $ 230,000 | $ 230,000 | $ 57,000 |
| Kingston, NY | 1 | $ 210,000 | $ 210,000 | $ 63,000 |
| Reading, PA | 1 | $ 155,000 | $ 155,000 | $ 43,000 |
Mortgage Loan Application Detail Totals for Polish & Slavic Federal Credit 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 Purchase | 573 | $123,271,000 | $215,000 | $1,800,000 | $68,000 | $466,000 |
| Refinancing | 363 | $123,210,000 | $339,000 | $3,526,000 | $65,000 | $436,000 |
| Home Improvement | 48 | $17,652,000 | $367,000 | $2,400,000 | $74,000 | $493,000 |
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 | 917 | $205,906,000 | $224,000 | $2,400,000 | $71,000 | $493,000 |
| Not applicable | 54 | $55,303,000 | $1,024,000 | $3,526,000 | $0 | $0 |
| Black or African American | 5 | $747,000 | $149,000 | $272,000 | $91,000 | $142,000 |
| Hispanic | 5 | $1,011,000 | $202,000 | $432,000 | $49,000 | $112,000 |
| Asian | 3 | $1,166,000 | $388,000 | $600,000 | $92,000 | $192,000 |
| American Indian or Alaskan Native | 0 | $0 | $0 | $0 | $0 | $0 |
| Native Hawaiian or Other Pacific Islander | 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) | 984 | $264,133,000 | $268,000 | $3,526,000 | $67,000 | $493,000 |
| 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 | 631 | $164,124,000 | $260,000 | $3,526,000 | $64,000 | $466,000 |
| Application Withdrawn By Applicant | 158 | $43,659,000 | $276,000 | $2,700,000 | $79,000 | $493,000 |
| Application Denied By Financial Institution | 107 | $29,751,000 | $278,000 | $1,270,000 | $53,000 | $366,000 |
| File Closed For Incompleteness | 59 | $18,373,000 | $311,000 | $1,200,000 | $89,000 | $436,000 |
| Application Approved But Not Accepted | 29 | $8,226,000 | $283,000 | $672,000 | $68,000 | $301,000 |
| 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 |
|---|---|---|---|---|---|---|
| Debt-To-Income Ratio | 43 | $9,763,000 | $227,000 | $645,000 | $50,000 | $161,000 |
| Collateral | 11 | $2,696,000 | $245,000 | $1,250,000 | $80,000 | $324,000 |
| Other | 11 | $2,849,000 | $259,000 | $1,270,000 | $32,000 | $68,000 |
| Credit History | 7 | $1,663,000 | $237,000 | $417,000 | $110,000 | $366,000 |
| Unverifiable Information | 4 | $1,469,000 | $367,000 | $900,000 | $95,000 | $120,000 |
| Insufficient Cash (Downpayment, Closing Cost) | 3 | $818,000 | $272,000 | $360,000 | $25,000 | $58,000 |
| Mortgage Insurance Denied | 2 | $241,000 | $120,000 | $135,000 | $48,000 | $63,000 |
| Credit Application Incomplete | 2 | $1,800,000 | $900,000 | $975,000 | $0 | $0 |
| Employment History | 1 | $172,000 | $172,000 | $172,000 | $94,000 | $94,000 |
Our comprehensive HMDA mortgage statistics provide invaluable insights into Polish & Slavic Federal Credit'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 Polish & Slavic Federal Credit'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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