Pcsb Bank Mortgage Lending & HMDA Data, 2017

In 2017, Pcsb Bank of Yorktown Heights, NY reported 166 mortgage applications totaling $47.2 million, down 1% from 2016. The average application was for $284,560, and applicants reported an average income of $148,843. 63% of its applications resulted in an originated loan and 14% were denied. Its largest markets were New York-Jersey City-White Plains, NY-NJ (91), Dutchess County-Putnam County, NY (63) and Bridgeport-Stamford-Norwalk, CT (5) (applications in parentheses).

Mortgage Company & Address Pcsb Bank
2651 Strang Blvd., Suite 100, P.O. Box 712
Yorktown Heights, NY 10598
Tel #: available with data download
Federal Regulator * available with data download
Years 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 166
Total Mortgage Loan Application Amount $47,237,000
Average Mortgage Loan Application Amount $284,560
Highest Mortgage Loan Application Amount $3,041,000
Average Applicant Income $148,843
Highest Applicant Income $1,122,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Pcsb Bank filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Pcsb Bank by County in 2017

County Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loans Applications Average Mortgage Loan Application Amount Average Applicant Income
Westchester, New York 74 $ 18,113,000 $ 244,770 $ 168,000
Putnam, New York 44 $ 8,450,000 $ 192,045 $ 132,000
Dutchess, New York 19 $ 3,748,000 $ 197,263 $ 138,000
Kings, New York 7 $ 6,360,000 $ 908,571 $ 12,000
Fairfield, Connecticut 5 $ 1,437,000 $ 287,400 $ 189,000
Rockland, New York 5 $ 1,153,000 $ 230,600 $ 167,000
Nassau, New York 3 $ 1,678,000 $ 559,333 $ 288,000
Bronx, New York 2 $ 2,290,000 $ 1,145,000 $ 0
Suffolk, New York 2 $ 610,000 $ 305,000 $ 123,000
Bergen, New Jersey 1 $ 389,000 $ 389,000 $ 247,000
Union, New Jersey 1 $ 1,280,000 $ 1,280,000 $ 0
New York, New York 1 $ 825,000 $ 825,000 $ 0
Orange, New York 1 $ 304,000 $ 304,000 $ 292,000
Ulster, New York 1 $ 600,000 $ 600,000 $ 320,000

Mortgage Loan Application Detail Totals for Pcsb Bank 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 81 $23,329,000 $288,000 $1,280,000 $160,000 $1,122,000
Home Improvement 53 $7,733,000 $145,000 $1,000,000 $148,000 $799,000
Refinancing 32 $16,175,000 $505,000 $3,041,000 $122,000 $524,000

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 103 $21,749,000 $211,000 $600,000 $151,000 $1,054,000
Not Provided 37 $8,853,000 $239,000 $1,000,000 $219,000 $1,122,000
Not applicable 15 $13,526,000 $901,000 $3,041,000 $0 $0
Hispanic 5 $978,000 $195,000 $380,000 $110,000 $227,000
Black or African American 3 $456,000 $152,000 $275,000 $76,000 $101,000
Asian 2 $1,650,000 $825,000 $1,150,000 $122,000 $244,000
American Indian or Alaskan Native 1 $25,000 $25,000 $25,000 $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) 166 $47,237,000 $284,000 $3,041,000 $149,000 $1,122,000
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 104 $24,455,000 $235,000 $1,000,000 $169,000 $1,054,000
Application Denied By Financial Institution 24 $5,164,000 $215,000 $550,000 $94,000 $221,000
Application Withdrawn By Applicant 11 $2,024,000 $184,000 $380,000 $115,000 $225,000
Loan Purchased By The Institution 10 $10,936,000 $1,093,000 $3,041,000 $0 $0
Application Approved But Not Accepted 9 $1,796,000 $199,000 $380,000 $268,000 $1,122,000
File Closed For Incompleteness 8 $2,862,000 $357,000 $1,150,000 $139,000 $244,000
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 13 $2,739,000 $210,000 $550,000 $96,000 $221,000
Credit History 11 $2,425,000 $220,000 $505,000 $92,000 $182,000
Collateral 0 $0 $0 $0 $0 $0
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
Other 0 $0 $0 $0 $0 $0
Unverifiable Information 0 $0 $0 $0 $0 $0

Our comprehensive HMDA mortgage statistics provide invaluable insights into Pcsb Bank'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 Pcsb Bank'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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