Polish & Slavic Federal Credit Mortgage Lending & HMDA Data, 2016
In 2016, Polish & Slavic Federal Credit of Brooklyn, NY reported 949 mortgage applications totaling $233.1 million, down 4% from 2015. The average application was for $245,582, and applicants reported an average income of $68,320. 62% of its applications resulted in an originated loan and 15% were denied. Its largest markets were Chicago-Naperville-Arlington Heights, IL (440), New York-Jersey City-White Plains, NY-NJ (296) and Newark, NJ-PA (53) (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 | 949 |
| Total Mortgage Loan Application Amount | $233,058,000 |
| Average Mortgage Loan Application Amount | $245,582 |
| Highest Mortgage Loan Application Amount | $2,500,000 |
| Average Applicant Income | $68,320 |
| Highest Applicant Income | $1,216,000 |
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records Polish & Slavic Federal Credit filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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.
| County | Total Number of Mortgage Loan Applications | Total Dollar Amount of Mortgage Loans Applications | Average Mortgage Loan Application Amount | Average Applicant Income |
|---|---|---|---|---|
| Cook, Illinois | 378 | $ 68,087,000 | $ 180,124 | $ 54,000 |
| Queens, New York | 76 | $ 31,324,000 | $ 412,157 | $ 85,000 |
| Bergen, New Jersey | 66 | $ 16,531,000 | $ 250,469 | $ 75,000 |
| Kings, New York | 54 | $ 44,012,000 | $ 815,037 | $ 73,000 |
| DuPage, Illinois | 44 | $ 8,067,000 | $ 183,340 | $ 70,000 |
| Passaic, New Jersey | 24 | $ 6,032,000 | $ 251,333 | $ 74,000 |
| Lake, Illinois | 22 | $ 5,766,000 | $ 262,090 | $ 79,000 |
| Union, New Jersey | 22 | $ 4,251,000 | $ 193,227 | $ 78,000 |
| Monroe, Pennsylvania | 22 | $ 2,110,000 | $ 95,909 | $ 70,000 |
| Richmond, New York | 18 | $ 4,769,000 | $ 264,944 | $ 87,000 |
| Middlesex, New Jersey | 17 | $ 3,807,000 | $ 223,941 | $ 73,000 |
| Nassau, New York | 17 | $ 5,393,000 | $ 317,235 | $ 79,000 |
| Suffolk, New York | 16 | $ 2,997,000 | $ 187,312 | $ 90,000 |
| Mercer, New Jersey | 11 | $ 1,018,000 | $ 92,545 | $ 60,000 |
| Will, Illinois | 10 | $ 1,479,000 | $ 147,900 | $ 72,000 |
| Hudson, New Jersey | 10 | $ 2,342,000 | $ 234,200 | $ 64,000 |
| Monmouth, New Jersey | 10 | $ 2,158,000 | $ 215,800 | $ 112,000 |
| Philadelphia, Pennsylvania | 9 | $ 1,340,000 | $ 148,888 | $ 52,000 |
| Essex, New Jersey | 8 | $ 2,046,000 | $ 255,750 | $ 78,000 |
| Morris, New Jersey | 8 | $ 2,748,000 | $ 343,500 | $ 103,000 |
| Pinellas, Florida | 7 | $ 661,000 | $ 94,428 | $ 76,000 |
| Somerset, New Jersey | 7 | $ 1,265,000 | $ 180,714 | $ 64,000 |
| Sarasota, Florida | 6 | $ 1,099,000 | $ 183,166 | $ 62,000 |
| Ocean, New Jersey | 6 | $ 1,123,000 | $ 187,166 | $ 143,000 |
| Rockland, New York | 5 | $ 1,103,000 | $ 220,600 | $ 124,000 |
| Westchester, New York | 5 | $ 1,238,000 | $ 247,600 | $ 54,000 |
| Kane, Illinois | 4 | $ 666,000 | $ 166,500 | $ 65,000 |
| McHenry, Illinois | 4 | $ 563,000 | $ 140,750 | $ 38,000 |
| Pike, Pennsylvania | 4 | $ 318,000 | $ 79,500 | $ 99,000 |
| Pasco, Florida | 3 | $ 233,000 | $ 77,666 | $ 97,000 |
| Kendall, Illinois | 3 | $ 463,000 | $ 154,333 | $ 71,000 |
| Burlington, New Jersey | 3 | $ 473,000 | $ 157,666 | $ 55,000 |
| Bronx, New York | 3 | $ 545,000 | $ 181,666 | $ 122,000 |
| Sullivan, New York | 3 | $ 311,000 | $ 103,666 | $ 245,000 |
| Bucks, Pennsylvania | 3 | $ 564,000 | $ 188,000 | $ 62,000 |
| Broward, Florida | 2 | $ 246,000 | $ 123,000 | $ 29,000 |
| Collier, Florida | 2 | $ 380,000 | $ 190,000 | $ 43,000 |
| Flagler, Florida | 2 | $ 261,000 | $ 130,500 | $ 179,000 |
| Manatee, Florida | 2 | $ 150,000 | $ 75,000 | $ 30,000 |
| Miami-Dade, Florida | 2 | $ 298,000 | $ 149,000 | $ 41,000 |
| Palm Beach, Florida | 2 | $ 164,000 | $ 82,000 | $ 69,000 |
| Kankakee, Illinois | 2 | $ 218,000 | $ 109,000 | $ 162,000 |
| Hunterdon, New Jersey | 2 | $ 278,000 | $ 139,000 | $ 74,000 |
| Sussex, New Jersey | 2 | $ 454,000 | $ 227,000 | $ 145,000 |
| Putnam, New York | 2 | $ 170,000 | $ 85,000 | $ 40,000 |
| Carbon, Pennsylvania | 2 | $ 155,000 | $ 77,500 | $ 69,000 |
| Delaware, Pennsylvania | 2 | $ 323,000 | $ 161,500 | $ 33,000 |
| Lee, Florida | 1 | $ 125,000 | $ 125,000 | $ 29,000 |
| Orange, Florida | 1 | $ 150,000 | $ 150,000 | $ 85,000 |
| Polk, Florida | 1 | $ 50,000 | $ 50,000 | $ 126,000 |
| St. Johns, Florida | 1 | $ 126,000 | $ 126,000 | $ 37,000 |
| Grundy, Illinois | 1 | $ 120,000 | $ 120,000 | $ 36,000 |
| LaSalle, Illinois | 1 | $ 45,000 | $ 45,000 | $ 69,000 |
| Hamilton, New York | 1 | $ 100,000 | $ 100,000 | $ 62,000 |
| New York, New York | 1 | $ 350,000 | $ 350,000 | $ 91,000 |
| Orange, New York | 1 | $ 565,000 | $ 565,000 | $ 160,000 |
| Oswego, New York | 1 | $ 60,000 | $ 60,000 | $ 52,000 |
| Saratoga, New York | 1 | $ 500,000 | $ 500,000 | $ 149,000 |
| Berks, Pennsylvania | 1 | $ 160,000 | $ 160,000 | $ 57,000 |
| Lehigh, Pennsylvania | 1 | $ 200,000 | $ 200,000 | $ 47,000 |
| Luzerne, Pennsylvania | 1 | $ 136,000 | $ 136,000 | $ 105,000 |
| Montgomery, Pennsylvania | 1 | $ 182,000 | $ 182,000 | $ 58,000 |
| Northampton, Pennsylvania | 1 | $ 120,000 | $ 120,000 | $ 35,000 |
Mortgage Loan Application Detail Totals for Polish & Slavic Federal Credit 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 |
|---|---|---|---|---|---|---|
| Home Purchase | 534 | $115,449,000 | $216,000 | $2,000,000 | $70,000 | $1,216,000 |
| Refinancing | 346 | $99,647,000 | $287,000 | $2,500,000 | $63,000 | $549,000 |
| Home Improvement | 69 | $17,962,000 | $260,000 | $1,200,000 | $82,000 | $288,000 |
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 | 907 | $207,103,000 | $228,000 | $2,500,000 | $69,000 | $580,000 |
| Not applicable | 31 | $23,499,000 | $758,000 | $1,800,000 | $0 | $0 |
| Hispanic | 8 | $2,066,000 | $258,000 | $552,000 | $236,000 | $1,216,000 |
| Asian | 2 | $115,000 | $57,000 | $58,000 | $92,000 | $99,000 |
| Not Provided | 1 | $275,000 | $275,000 | $275,000 | $133,000 | $133,000 |
| American Indian or Alaskan Native | 0 | $0 | $0 | $0 | $0 | $0 |
| Black or African American | 0 | $0 | $0 | $0 | $0 | $0 |
| 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) | 949 | $233,058,000 | $245,000 | $2,500,000 | $69,000 | $1,216,000 |
| 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 | 593 | $135,417,000 | $228,000 | $1,800,000 | $66,000 | $580,000 |
| Application Denied By Financial Institution | 144 | $36,870,000 | $256,000 | $2,000,000 | $69,000 | $1,216,000 |
| Application Withdrawn By Applicant | 134 | $39,011,000 | $291,000 | $2,300,000 | $69,000 | $549,000 |
| File Closed For Incompleteness | 50 | $15,168,000 | $303,000 | $2,500,000 | $87,000 | $318,000 |
| Application Approved But Not Accepted | 28 | $6,592,000 | $235,000 | $600,000 | $78,000 | $254,000 |
| 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 | 57 | $16,928,000 | $296,000 | $2,000,000 | $59,000 | $346,000 |
| Collateral | 24 | $4,876,000 | $203,000 | $900,000 | $123,000 | $1,216,000 |
| Credit History | 20 | $4,709,000 | $235,000 | $525,000 | $63,000 | $150,000 |
| Other | 13 | $2,539,000 | $195,000 | $400,000 | $49,000 | $162,000 |
| Insufficient Cash (Downpayment, Closing Cost) | 8 | $2,138,000 | $267,000 | $750,000 | $56,000 | $102,000 |
| Employment History | 3 | $924,000 | $308,000 | $600,000 | $28,000 | $62,000 |
| Credit Application Incomplete | 0 | $0 | $0 | $0 | $0 | $0 |
| Mortgage Insurance Denied | 0 | $0 | $0 | $0 | $0 | $0 |
| Unverifiable Information | 0 | $0 | $0 | $0 | $0 | $0 |
Our comprehensive HMDA mortgage statistics provide invaluable insights into Polish & Slavic Federal Credit'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 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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