Flushing Bank Mortgage Lending & HMDA Data, 2017

In 2017, Flushing Bank of Uniondale, NY reported 261 mortgage applications totaling $185.5 million, down 10% from 2016. The average application was for $710,609, and applicants reported an average income of $19,091. 51% of its applications resulted in an originated loan and 34% were denied. Its largest markets were New York-Jersey City-White Plains, NY-NJ (243), Nassau County-Suffolk County, NY (14) and New Haven-Milford, CT (2) (applications in parentheses).

Mortgage Company & Address Flushing Bank
220 Rxr Plaza
Uniondale, NY 11556
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  
Total Number of Mortgage Applications 261
Total Mortgage Loan Application Amount $185,469,000
Average Mortgage Loan Application Amount $710,609
Highest Mortgage Loan Application Amount $7,875,000
Average Applicant Income $19,091
Highest Applicant Income $550,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Flushing Bank filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Flushing 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
Kings, New York 102 $ 60,919,000 $ 597,245 $ 22,000
Queens, New York 49 $ 37,785,000 $ 771,122 $ 23,000
Bronx, New York 35 $ 25,698,000 $ 734,228 $ 15,000
New York, New York 15 $ 25,929,000 $ 1,728,600 $ 0
Westchester, New York 15 $ 6,410,000 $ 427,333 $ 0
Richmond, New York 12 $ 5,457,000 $ 454,750 $ 5,000
Nassau, New York 10 $ 4,236,000 $ 423,600 $ 0
Hudson, New Jersey 9 $ 4,730,000 $ 525,555 $ 6,000
Suffolk, New York 4 $ 8,150,000 $ 2,037,500 $ 81,000
New Haven, Connecticut 2 $ 2,020,000 $ 1,010,000 $ 0
Bergen, New Jersey 2 $ 1,080,000 $ 540,000 $ 275,000
Rockland, New York 2 $ 638,000 $ 319,000 $ 31,000
Fairfield, Connecticut 1 $ 1,210,000 $ 1,210,000 $ 0
Essex, New Jersey 1 $ 237,000 $ 237,000 $ 0
Middlesex, New Jersey 1 $ 600,000 $ 600,000 $ 0
Passaic, New Jersey 1 $ 370,000 $ 370,000 $ 67,000

Mortgage Loan Application Detail Totals for Flushing 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
Refinancing 95 $88,692,000 $933,000 $6,750,000 $21,000 $550,000
Home Improvement 83 $44,418,000 $535,000 $1,700,000 $12,000 $126,000
Home Purchase 83 $52,359,000 $630,000 $7,875,000 $24,000 $327,000

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
Not applicable 187 $149,020,000 $796,000 $7,875,000 $0 $0
White 28 $14,033,000 $501,000 $950,000 $83,000 $550,000
Not Provided 13 $5,914,000 $454,000 $1,200,000 $46,000 $169,000
Asian 13 $7,859,000 $604,000 $949,000 $88,000 $285,000
Hispanic 12 $5,243,000 $436,000 $620,000 $28,000 $121,000
Black or African American 6 $2,670,000 $445,000 $800,000 $85,000 $120,000
American Indian or Alaskan Native 2 $730,000 $365,000 $600,000 $93,000 $125,000
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) 261 $185,469,000 $710,000 $7,875,000 $19,000 $550,000
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 133 $75,504,000 $567,000 $2,800,000 $12,000 $285,000
Application Denied By Financial Institution 89 $69,427,000 $780,000 $6,700,000 $29,000 $550,000
Application Approved But Not Accepted 29 $24,371,000 $840,000 $7,875,000 $19,000 $303,000
File Closed For Incompleteness 6 $8,942,000 $1,490,000 $6,750,000 $0 $0
Application Withdrawn By Applicant 4 $7,225,000 $1,806,000 $5,500,000 $81,000 $327,000
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
Collateral 59 $47,265,000 $801,000 $6,700,000 $25,000 $130,000
Credit History 10 $9,604,000 $960,000 $2,225,000 $37,000 $169,000
Debt-To-Income Ratio 10 $6,096,000 $609,000 $1,500,000 $20,000 $93,000
Other 5 $3,500,000 $700,000 $1,600,000 $0 $0
Unverifiable Information 3 $1,472,000 $490,000 $780,000 $183,000 $550,000
Credit Application Incomplete 1 $840,000 $840,000 $840,000 $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 Flushing 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 Flushing 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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