Usny Bank Mortgage Lending & HMDA Data, 2015

In 2015, Usny Bank of Geneva, NY reported 195 mortgage applications totaling $31.1 million, up 22% from 2014. The average application was for $159,594, and applicants reported an average income of $108,692. 94% of its applications resulted in an originated loan and 5% were denied. Its largest markets were Rochester, NY (69), Cape Coral-Fort Myers, FL (7) and Utica-Rome, NY (5) (applications in parentheses).

Mortgage Company & Address Usny Bank
389 Hamilton Street
Geneva, NY 14456
Tel #: available with data download
Federal Regulator * available with data download
Years 2019  2018  2017  2016  2015  2014  2013  2012  2011  2010  2009  
Total Number of Mortgage Applications 195
Total Mortgage Loan Application Amount $31,121,000
Average Mortgage Loan Application Amount $159,594
Highest Mortgage Loan Application Amount $1,170,000
Average Applicant Income $108,692
Highest Applicant Income $3,095,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Usny Bank filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Usny Bank by County in 2015

County Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loans Applications Average Mortgage Loan Application Amount Average Applicant Income
Otsego, New York 74 $ 13,815,000 $ 186,689 $ 96,000
Ontario, New York 44 $ 6,299,000 $ 143,159 $ 102,000
Seneca, New York 19 $ 1,938,000 $ 102,000 $ 243,000
Wayne, New York 12 $ 1,694,000 $ 141,166 $ 41,000
Yates, New York 10 $ 1,292,000 $ 129,200 $ 104,000
Lee, Florida 7 $ 1,125,000 $ 160,714 $ 0
Delaware, New York 6 $ 717,000 $ 119,500 $ 51,000
Chenango, New York 4 $ 411,000 $ 102,750 $ 56,000
Herkimer, New York 4 $ 497,000 $ 124,250 $ 51,000
Monroe, New York 3 $ 1,502,000 $ 500,666 $ 301,000
Cayuga, New York 2 $ 110,000 $ 55,000 $ 13,000
Schuyler, New York 2 $ 442,000 $ 221,000 $ 158,000
Marion, Florida 1 $ 110,000 $ 110,000 $ 890,000
Broome, New York 1 $ 285,000 $ 285,000 $ 0
Chautauqua, New York 1 $ 280,000 $ 280,000 $ 421,000
Madison, New York 1 $ 74,000 $ 74,000 $ 27,000
Oneida, New York 1 $ 112,000 $ 112,000 $ 0
Schoharie, New York 1 $ 130,000 $ 130,000 $ 39,000
Steuben, New York 1 $ 118,000 $ 118,000 $ 31,000
Tompkins, New York 1 $ 170,000 $ 170,000 $ 107,000

Mortgage Loan Application Detail Totals for Usny Bank in 2015

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 108 $17,495,000 $161,000 $770,000 $125,000 $3,095,000
Refinancing 63 $11,531,000 $183,000 $1,170,000 $97,000 $890,000
Home Improvement 24 $2,095,000 $87,000 $400,000 $66,000 $227,000

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 155 $23,262,000 $150,000 $1,170,000 $136,000 $3,095,000
Not applicable 38 $7,537,000 $198,000 $770,000 $0 $0
Asian 1 $252,000 $252,000 $252,000 $126,000 $126,000
Hispanic 1 $70,000 $70,000 $70,000 $97,000 $97,000
Native Hawaiian or Other Pacific Islander 0 $0 $0 $0 $0 $0
Black or African American 0 $0 $0 $0 $0 $0
Not Provided 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) 195 $31,121,000 $159,000 $1,170,000 $109,000 $3,095,000
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 183 $30,033,000 $164,000 $1,170,000 $109,000 $3,095,000
Application Denied By Financial Institution 9 $713,000 $79,000 $167,000 $85,000 $218,000
Application Approved But Not Accepted 3 $375,000 $125,000 $260,000 $141,000 $218,000
Application Withdrawn By Applicant 0 $0 $0 $0 $0 $0
File Closed For Incompleteness 0 $0 $0 $0 $0 $0
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
Credit History 3 $140,000 $46,000 $60,000 $52,000 $57,000
Debt-To-Income Ratio 2 $126,000 $63,000 $71,000 $47,000 $83,000
Collateral 1 $167,000 $167,000 $167,000 $149,000 $149,000
Other 1 $70,000 $70,000 $70,000 $218,000 $218,000
Unverifiable Information 1 $70,000 $70,000 $70,000 $120,000 $120,000
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 Usny Bank's 2015 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 Usny 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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