Financial Resources Federal Cr Mortgage Lending & HMDA Data, 2017

In 2017, Financial Resources Federal Cr of Branchburg, NJ reported 416 mortgage applications totaling $82.0 million, up 6% from 2016. The average application was for $196,997, and applicants reported an average income of $149,449. 71% of its applications resulted in an originated loan and 15% were denied. Its largest markets were Newark, NJ-PA (165), New York-Jersey City-White Plains, NY-NJ (109) and Montgomery County-Bucks County-Chester County, PA (32) (applications in parentheses).

Mortgage Company & Address Financial Resources Federal Cr
3040 US Highway 22 Bldg 2
Branchburg, NJ 08876
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 416
Total Mortgage Loan Application Amount $81,951,000
Average Mortgage Loan Application Amount $196,997
Highest Mortgage Loan Application Amount $5,300,000
Average Applicant Income $149,449
Highest Applicant Income $1,440,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Financial Resources Federal Cr filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Totals for Financial Resources Federal Cr by Metropolitan Area in 2017

Metro Area Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loan Applications Average Mortgage Loan Application Amount Average Applicant Income
Newark, NJ-PA 165 $ 31,815,000 $ 192,818 $ 149,284
New York-Jersey City-White Plains, NY-NJ 109 $ 25,293,000 $ 232,045 $ 147,293
Montgomery County-Bucks County-Chester County, PA 32 $ 5,788,000 $ 180,875 $ 153,000
Trenton, NJ 21 $ 4,930,000 $ 234,761 $ 153,000
Allentown-Bethlehem-Easton, PA-NJ 12 $ 1,582,000 $ 131,833 $ 110,333
Camden, NJ 10 $ 1,613,000 $ 161,300 $ 159,000
Nassau County-Suffolk County, NY 4 $ 515,000 $ 128,750 $ 147,000
Atlanta-Sandy Springs-Roswell, GA 3 $ 741,000 $ 247,000 $ 184,000
Cincinnati, OH-KY-IN 3 $ 203,000 $ 67,666 $ 123,000
Fort Lauderdale-Pompano Beach-Deerfield Beach, FL 3 $ 551,000 $ 183,666 $ 148,000
Minneapolis-St. Paul-Bloomington, MN-WI 3 $ 699,000 $ 233,000 $ 112,000
Philadelphia, PA 3 $ 419,000 $ 139,666 $ 129,000
Providence-Warwick, RI-MA 3 $ 660,000 $ 220,000 $ 163,000
Albuquerque, NM 2 $ 134,000 $ 67,000 $ 70,000
Cape Coral-Fort Myers, FL 2 $ 100,000 $ 50,000 $ 164,000
Miami-Miami Beach-Kendall, FL 2 $ 373,000 $ 186,500 $ 87,000
New Haven-Milford, CT 2 $ 529,000 $ 264,500 $ 173,000
Ocean City, NJ 2 $ 400,000 $ 200,000 $ 308,000
Orlando-Kissimmee-Sanford, FL 2 $ 303,000 $ 151,500 $ 190,000
Salisbury, MD-DE 2 $ 40,000 $ 20,000 $ 62,000
Tampa-St. Petersburg-Clearwater, FL 2 $ 322,000 $ 161,000 $ 170,000
West Palm Beach-Boca Raton-Delray Beach, FL 2 $ 342,000 $ 171,000 $ 72,000
Anaheim-Santa Ana-Irvine, CA 1 $ 352,000 $ 352,000 $ 209,000
Birmingham-Hoover, AL 1 $ 200,000 $ 200,000 $ 200,000
Bridgeport-Stamford-Norwalk, CT 1 $ 330,000 $ 330,000 $ 179,000
Buffalo-Cheektowaga-Niagara Falls, NY 1 $ 17,000 $ 17,000 $ 53,000
Chicago-Naperville-Arlington Heights, IL 1 $ 55,000 $ 55,000 $ 74,000
Gettysburg, PA 1 $ 500,000 $ 500,000 $ 188,000
Hilton Head Island-Bluffton-Beaufort, SC 1 $ 245,000 $ 245,000 $ 239,000
Hot Springs, AR 1 $ 75,000 $ 75,000 $ 126,000
Indianapolis-Carmel-Anderson, IN 1 $ 35,000 $ 35,000 $ 117,000
Los Angeles-Long Beach-Glendale, CA 1 $ 513,000 $ 513,000 $ 165,000
North Port-Sarasota-Bradenton, FL 1 $ 100,000 $ 100,000 $ 314,000
Omaha-Council Bluffs, NE-IA 1 $ 168,000 $ 168,000 $ 87,000
Pittsburgh, PA 1 $ 56,000 $ 56,000 $ 45,000
Raleigh, NC 1 $ 207,000 $ 207,000 $ 139,000
San Rafael, CA 1 $ 75,000 $ 75,000 $ 107,000
Scranton--Wilkes-Barre--Hazleton, PA 1 $ 213,000 $ 213,000 $ 73,000
Weirton-Steubenville, WV-OH 1 $ 74,000 $ 74,000 $ 80,000
Wilmington, DE-MD-NJ 1 $ 358,000 $ 358,000 $ 120,000
Worcester, MA-CT 1 $ 204,000 $ 204,000 $ 139,000
Youngstown-Warren-Boardman, OH-PA 1 $ 28,000 $ 28,000 $ 56,000

Mortgage Loan Application Detail Totals for Financial Resources Federal Cr 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
Refinancing 166 $38,121,000 $229,000 $5,300,000 $140,000 $677,000
Home Improvement 133 $9,806,000 $73,000 $600,000 $159,000 $1,440,000
Home Purchase 117 $34,024,000 $290,000 $1,080,000 $152,000 $1,181,000

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 209 $35,246,000 $168,000 $1,080,000 $155,000 $1,181,000
Not Provided 82 $15,406,000 $187,000 $664,000 $144,000 $343,000
Asian 44 $16,007,000 $363,000 $5,300,000 $185,000 $1,440,000
Black or African American 40 $7,777,000 $194,000 $621,000 $139,000 $305,000
Hispanic 33 $6,584,000 $199,000 $580,000 $121,000 $351,000
American Indian or Alaskan Native 4 $704,000 $176,000 $340,000 $124,000 $195,000
Not applicable 4 $227,000 $56,000 $100,000 $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) 416 $81,951,000 $196,000 $5,300,000 $150,000 $1,440,000
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 294 $54,778,000 $186,000 $1,080,000 $153,000 $1,181,000
Application Denied By Financial Institution 62 $13,124,000 $211,000 $5,300,000 $151,000 $1,440,000
Application Withdrawn By Applicant 42 $10,105,000 $240,000 $621,000 $140,000 $307,000
File Closed For Incompleteness 12 $2,646,000 $220,000 $362,000 $139,000 $453,000
Application Approved But Not Accepted 6 $1,298,000 $216,000 $360,000 $89,000 $119,000
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
Other 20 $2,507,000 $125,000 $600,000 $185,000 $1,440,000
Debt-To-Income Ratio 16 $7,656,000 $478,000 $5,300,000 $124,000 $677,000
Collateral 10 $977,000 $97,000 $340,000 $178,000 $567,000
Credit History 9 $637,000 $70,000 $175,000 $134,000 $314,000
Unverifiable Information 2 $157,000 $78,000 $82,000 $147,000 $159,000
Credit Application Incomplete 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

Our comprehensive HMDA mortgage statistics provide invaluable insights into Financial Resources Federal Cr'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 Financial Resources Federal Cr'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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