Polish & Slavic Federal Credit Mortgage Lending & HMDA Data, 2017
In 2017, Polish & Slavic Federal Credit of Brooklyn, NY reported 998 mortgage applications totaling $245.0 million, up 5% from 2016. The average application was for $245,458, and applicants reported an average income of $69,192. 62% of its applications resulted in an originated loan and 19% were denied. Its largest markets were Chicago-Naperville-Arlington Heights, IL (461), New York-Jersey City-White Plains, NY-NJ (329) and Newark, NJ-PA (62) (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 | 998 |
| Total Mortgage Loan Application Amount | $244,968,000 |
| Average Mortgage Loan Application Amount | $245,458 |
| Highest Mortgage Loan Application Amount | $2,600,000 |
| Average Applicant Income | $69,192 |
| Highest Applicant Income | $621,000 |
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records Polish & Slavic Federal Credit filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 |
|---|---|---|---|---|
| Chicago-Naperville-Arlington Heights, IL | 461 | $ 79,979,000 | $ 173,490 | $ 57,000 |
| New York-Jersey City-White Plains, NY-NJ | 329 | $ 123,996,000 | $ 376,887 | $ 82,768 |
| Newark, NJ-PA | 62 | $ 15,405,000 | $ 248,467 | $ 87,225 |
| Nassau County-Suffolk County, NY | 32 | $ 8,451,000 | $ 264,093 | $ 85,000 |
| East Stroudsburg, PA | 22 | $ 2,353,000 | $ 106,954 | $ 76,000 |
| Trenton, NJ | 16 | $ 2,714,000 | $ 169,625 | $ 62,000 |
| Lake County-Kenosha County, IL-WI | 12 | $ 1,986,000 | $ 165,500 | $ 59,000 |
| Dutchess County-Putnam County, NY | 10 | $ 2,091,000 | $ 209,100 | $ 55,000 |
| Tampa-St. Petersburg-Clearwater, FL | 8 | $ 781,000 | $ 97,625 | $ 40,000 |
| Montgomery County-Bucks County-Chester County, PA | 7 | $ 1,271,000 | $ 181,571 | $ 55,000 |
| Elgin, IL | 6 | $ 1,176,000 | $ 196,000 | $ 61,000 |
| Allentown-Bethlehem-Easton, PA-NJ | 5 | $ 867,000 | $ 173,400 | $ 79,000 |
| Philadelphia, PA | 4 | $ 673,000 | $ 168,250 | $ 51,000 |
| Deltona-Daytona Beach-Ormond Beach, FL | 3 | $ 377,000 | $ 125,666 | $ 111,000 |
| Fort Lauderdale-Pompano Beach-Deerfield Beach, FL | 3 | $ 122,000 | $ 40,666 | $ 51,000 |
| North Port-Sarasota-Bradenton, FL | 3 | $ 555,000 | $ 185,000 | $ 100,000 |
| Jacksonville, FL | 2 | $ 262,000 | $ 131,000 | $ 27,000 |
| Miami-Miami Beach-Kendall, FL | 2 | $ 560,000 | $ 280,000 | $ 95,000 |
| Orlando-Kissimmee-Sanford, FL | 2 | $ 431,000 | $ 215,500 | $ 105,000 |
| West Palm Beach-Boca Raton-Delray Beach, FL | 2 | $ 130,000 | $ 65,000 | $ 28,000 |
| Camden, NJ | 1 | $ 51,000 | $ 51,000 | $ 73,000 |
| Champaign-Urbana, IL | 1 | $ 120,000 | $ 120,000 | $ 116,000 |
| Ocala, FL | 1 | $ 200,000 | $ 200,000 | $ 34,000 |
| Reading, PA | 1 | $ 98,000 | $ 98,000 | $ 18,000 |
| Scranton--Wilkes-Barre--Hazleton, PA | 1 | $ 55,000 | $ 55,000 | $ 50,000 |
Mortgage Loan Application Detail Totals for Polish & Slavic Federal Credit in 2017
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 | 586 | $133,969,000 | $228,000 | $2,000,000 | $73,000 | $621,000 |
| Refinancing | 340 | $91,099,000 | $267,000 | $2,600,000 | $65,000 | $566,000 |
| Home Improvement | 72 | $19,900,000 | $276,000 | $980,000 | $58,000 | $193,000 |
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 | 942 | $210,604,000 | $223,000 | $1,760,000 | $72,000 | $621,000 |
| Not applicable | 45 | $30,215,000 | $671,000 | $2,600,000 | $0 | $0 |
| Hispanic | 6 | $1,250,000 | $208,000 | $543,000 | $64,000 | $87,000 |
| Not Provided | 3 | $2,160,000 | $720,000 | $900,000 | $143,000 | $315,000 |
| Asian | 2 | $739,000 | $369,000 | $435,000 | $215,000 | $250,000 |
| Black or African American | 0 | $0 | $0 | $0 | $0 | $0 |
| Native Hawaiian or Other Pacific Islander | 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) | 998 | $244,968,000 | $245,000 | $2,600,000 | $69,000 | $621,000 |
| 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 | 614 | $150,238,000 | $244,000 | $2,600,000 | $71,000 | $589,000 |
| Application Denied By Financial Institution | 188 | $40,878,000 | $217,000 | $1,090,000 | $59,000 | $621,000 |
| Application Withdrawn By Applicant | 145 | $40,970,000 | $282,000 | $1,760,000 | $72,000 | $315,000 |
| File Closed For Incompleteness | 27 | $7,295,000 | $270,000 | $800,000 | $85,000 | $181,000 |
| Application Approved But Not Accepted | 24 | $5,587,000 | $232,000 | $568,000 | $80,000 | $198,000 |
| 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 | 63 | $14,685,000 | $233,000 | $1,090,000 | $46,000 | $134,000 |
| Collateral | 28 | $5,432,000 | $194,000 | $480,000 | $66,000 | $139,000 |
| Other | 24 | $5,644,000 | $235,000 | $900,000 | $46,000 | $208,000 |
| Credit History | 19 | $4,101,000 | $215,000 | $650,000 | $82,000 | $133,000 |
| Insufficient Cash (Downpayment, Closing Cost) | 4 | $1,472,000 | $368,000 | $1,000,000 | $35,000 | $75,000 |
| Mortgage Insurance Denied | 2 | $450,000 | $225,000 | $285,000 | $52,000 | $60,000 |
| Employment History | 2 | $188,000 | $94,000 | $118,000 | $12,000 | $23,000 |
| Credit Application Incomplete | 1 | $324,000 | $324,000 | $324,000 | $0 | $0 |
| Unverifiable Information | 1 | $980,000 | $980,000 | $980,000 | $68,000 | $68,000 |
Our comprehensive HMDA mortgage statistics provide invaluable insights into Polish & Slavic Federal Credit's 2017 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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