Alliance Bank NA Mortgage Lending & HMDA Data, 2006

In 2006, Alliance Bank NA of Syracuse, NY reported 530 mortgage applications totaling $58.9 million, down 1% from 2005. The average application was for $111,069, and applicants reported an average income of $87,067. 85% of its applications resulted in an originated loan and 7% were denied. Its largest markets were Syracuse, NY (333), Utica-Rome, NY (38) and Binghamton, NY (9) (applications in parentheses).

Mortgage Company & Address Alliance Bank NA
120 Madison Street
Syracuse, NY 13202
Tel #: available with data download
Federal Regulator * available with data download
Years 2012  2011  2010  2009  2008  2007  2006  2005  2004  2003  
Total Number of Mortgage Applications 530
Total Mortgage Loan Application Amount $58,867,000
Average Mortgage Loan Application Amount $111,069
Highest Mortgage Loan Application Amount $1,050,000
Average Applicant Income $87,067
Highest Applicant Income $1,294,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Alliance Bank NA filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Alliance Bank NA by County in 2006

County Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loans Applications Average Mortgage Loan Application Amount Average Applicant Income
Onondaga, New York 154 $ 22,398,000 $ 145,441 $ 122,000
Madison, New York 152 $ 15,657,000 $ 103,006 $ 80,000
Cortland, New York 107 $ 9,689,000 $ 90,551 $ 67,000
Oneida, New York 35 $ 2,196,000 $ 62,742 $ 59,000
Oswego, New York 27 $ 2,374,000 $ 87,925 $ 56,000
Cayuga, New York 16 $ 1,863,000 $ 116,437 $ 83,000
Chenango, New York 12 $ 739,000 $ 61,583 $ 46,000
Broome, New York 7 $ 796,000 $ 113,714 $ 86,000
Tompkins, New York 6 $ 713,000 $ 118,833 $ 108,000
Jefferson, New York 4 $ 451,000 $ 112,750 $ 66,000
Herkimer, New York 3 $ 1,374,000 $ 458,000 $ 159,000
Monroe, New York 2 $ 227,000 $ 113,500 $ 69,000
Tioga, New York 2 $ 253,000 $ 126,500 $ 68,000
Albany, New York 1 $ 58,000 $ 58,000 $ 39,000
Seneca, New York 1 $ 39,000 $ 39,000 $ 41,000
St. Lawrence, New York 1 $ 40,000 $ 40,000 $ 62,000

Mortgage Loan Application Detail Totals for Alliance Bank NA in 2006

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 323 $43,426,000 $134,000 $1,000,000 $96,000 $1,294,000
Refinancing 117 $11,054,000 $94,000 $1,050,000 $74,000 $858,000
Home Improvement 90 $4,387,000 $48,000 $300,000 $72,000 $425,000

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 506 $55,333,000 $109,000 $1,050,000 $86,000 $1,294,000
Asian 7 $1,153,000 $164,000 $300,000 $106,000 $152,000
Black or African American 7 $1,005,000 $143,000 $284,000 $115,000 $225,000
Hispanic 5 $621,000 $124,000 $212,000 $137,000 $244,000
Not applicable 3 $313,000 $104,000 $200,000 $0 $0
Not Provided 1 $417,000 $417,000 $417,000 $410,000 $410,000
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) 530 $58,867,000 $111,000 $1,050,000 $87,000 $1,294,000
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 452 $51,155,000 $113,000 $1,050,000 $89,000 $1,294,000
Application Approved But Not Accepted 35 $4,822,000 $137,000 $450,000 $94,000 $397,000
Application Denied By Financial Institution 35 $2,226,000 $63,000 $225,000 $52,000 $291,000
Application Withdrawn By Applicant 8 $664,000 $83,000 $213,000 $91,000 $264,000
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 13 $633,000 $48,000 $225,000 $42,000 $126,000
Debt-To-Income Ratio 12 $562,000 $46,000 $116,000 $39,000 $106,000
Collateral 6 $744,000 $124,000 $211,000 $89,000 $291,000
Employment History 2 $45,000 $22,000 $25,000 $31,000 $43,000
Credit Application Incomplete 1 $30,000 $30,000 $30,000 $56,000 $56,000
Unverifiable Information 1 $212,000 $212,000 $212,000 $158,000 $158,000
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

Our comprehensive HMDA mortgage statistics provide invaluable insights into Alliance Bank NA's 2006 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 Alliance Bank NA'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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