Xenith Bank Mortgage Lending & HMDA Data, 2014

In 2014, Xenith Bank of Richmond, VA reported 74 mortgage applications totaling $16.3 million, up 124% from 2013. The average application was for $220,648, and applicants reported an average income of $102,959. 92% of its applications resulted in an originated loan and 3% were denied. Its largest markets were Virginia Beach-Norfolk-Newport News, VA-NC (64), Richmond, VA (4) and Washington-Arlington-Alexandria, DC-VA-MD-WV (3) (applications in parentheses).

Mortgage Company & Address Xenith Bank
901 E. Cary Street, Suite 1700
Richmond, VA 23219
Tel #: available with data download
Federal Regulator * available with data download
Years 2015  2014  2013  2012  2011  2010  2009  2008  2007  2006  2005  2004  
Total Number of Mortgage Applications 74
Total Mortgage Loan Application Amount $16,328,000
Average Mortgage Loan Application Amount $220,648
Highest Mortgage Loan Application Amount $2,500,000
Average Applicant Income $102,959
Highest Applicant Income $1,211,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Xenith Bank filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Xenith Bank by County in 2014

County Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loans Applications Average Mortgage Loan Application Amount Average Applicant Income
Newport News, Virginia 11 $ 1,918,000 $ 174,363 $ 82,000
Virginia Beach, Virginia 11 $ 2,172,000 $ 197,454 $ 28,000
Gloucester, Virginia 9 $ 1,167,000 $ 129,666 $ 83,000
Norfolk, Virginia 6 $ 626,000 $ 104,333 $ 217,000
Suffolk, Virginia 6 $ 910,000 $ 151,666 $ 100,000
Portsmouth, Virginia 5 $ 248,000 $ 49,600 $ 70,000
Hampton, Virginia 4 $ 461,000 $ 115,250 $ 0
Chesapeake, Virginia 3 $ 394,000 $ 131,333 $ 0
York, Virginia 3 $ 469,000 $ 156,333 $ 115,000
Gates, North Carolina 2 $ 140,000 $ 70,000 $ 57,000
Fairfax, Virginia 2 $ 455,000 $ 227,500 $ 0
Mathews, Virginia 2 $ 679,000 $ 339,500 $ 245,000
Broward, Florida 1 $ 2,280,000 $ 2,280,000 $ 1,009,000
Wake, North Carolina 1 $ 235,000 $ 235,000 $ 1,211,000
Tarrant, Texas 1 $ 2,500,000 $ 2,500,000 $ 0
Henrico, Virginia 1 $ 142,000 $ 142,000 $ 61,000
James City, Virginia 1 $ 294,000 $ 294,000 $ 0
Manassas, Virginia 1 $ 256,000 $ 256,000 $ 0
New Kent, Virginia 1 $ 100,000 $ 100,000 $ 31,000
Poquoson, Virginia 1 $ 108,000 $ 108,000 $ 0
Powhatan, Virginia 1 $ 124,000 $ 124,000 $ 150,000
Richmond City, Virginia 1 $ 650,000 $ 650,000 $ 0

Mortgage Loan Application Detail Totals for Xenith Bank in 2014

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 53 $10,662,000 $201,000 $2,280,000 $100,000 $1,211,000
Refinancing 13 $5,015,000 $385,000 $2,500,000 $107,000 $345,000
Home Improvement 8 $651,000 $81,000 $450,000 $116,000 $288,000

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 42 $9,714,000 $231,000 $2,500,000 $0 $0
White 30 $6,531,000 $217,000 $2,280,000 $251,000 $1,211,000
Black or African American 2 $83,000 $41,000 $79,000 $39,000 $52,000
Hispanic 0 $0 $0 $0 $0 $0
Native Hawaiian or Other Pacific Islander 0 $0 $0 $0 $0 $0
American Indian or Alaskan Native 0 $0 $0 $0 $0 $0
Asian 0 $0 $0 $0 $0 $0
Not Provided 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) 74 $16,328,000 $220,000 $2,500,000 $103,000 $1,211,000
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 68 $13,402,000 $197,000 $2,500,000 $92,000 $1,211,000
Application Approved But Not Accepted 4 $2,617,000 $654,000 $2,280,000 $322,000 $1,009,000
Application Denied By Financial Institution 2 $309,000 $154,000 $230,000 $24,000 $27,000
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
Collateral 0 $0 $0 $0 $0 $0
Credit Application Incomplete 0 $0 $0 $0 $0 $0
Credit History 0 $0 $0 $0 $0 $0
Debt-To-Income Ratio 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 Xenith Bank's 2014 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 Xenith 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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