Grand Bank of Texas Mortgage Lending & HMDA Data, 2015

In 2015, Grand Bank of Texas of Grand Prairie, TX reported 108 mortgage applications totaling $26.2 million, down 12% from 2014. The average application was for $242,314, and applicants reported an average income of $192,018. 74% of its applications resulted in an originated loan and 13% were denied. Its largest markets were Dallas-Plano-Irving, TX (71), Fort Worth-Arlington, TX (11) and Austin-Round Rock, TX (2) (applications in parentheses).

Mortgage Company & Address Grand Bank of Texas
P O Box 530087
Grand Prairie, TX 75053
Tel #: available with data download
Federal Regulator * available with data download
Years 2018  2017  2016  2015  2014  2013  2012  2011  2010  2009  2008  2007  2006  2005  2004  2003  
Total Number of Mortgage Applications 108
Total Mortgage Loan Application Amount $26,170,000
Average Mortgage Loan Application Amount $242,314
Highest Mortgage Loan Application Amount $2,150,000
Average Applicant Income $192,018
Highest Applicant Income $3,718,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Grand Bank of Texas filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Grand Bank of Texas 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
Dallas, Texas 56 $ 9,801,000 $ 175,017 $ 130,000
Ellis, Texas 12 $ 706,000 $ 58,833 $ 154,000
Tarrant, Texas 10 $ 992,000 $ 99,200 $ 120,000
Llano, Texas 9 $ 6,811,000 $ 756,777 $ 389,000
Burnet, Texas 6 $ 869,000 $ 144,833 $ 74,000
Collin, Texas 2 $ 140,000 $ 70,000 $ 43,000
Travis, Texas 2 $ 2,861,000 $ 1,430,500 $ 820,000
Gunnison, Colorado 1 $ 410,000 $ 410,000 $ 91,000
Ocean, New Jersey 1 $ 2,150,000 $ 2,150,000 $ 202,000
Atascosa, Texas 1 $ 20,000 $ 20,000 $ 84,000
Austin, Texas 1 $ 150,000 $ 150,000 $ 0
Denton, Texas 1 $ 129,000 $ 129,000 $ 234,000
Ector, Texas 1 $ 230,000 $ 230,000 $ 3,718,000
Galveston, Texas 1 $ 499,000 $ 499,000 $ 0
Gillespie, Texas 1 $ 75,000 $ 75,000 $ 105,000
Guadalupe, Texas 1 $ 180,000 $ 180,000 $ 85,000
Hill, Texas 1 $ 92,000 $ 92,000 $ 72,000
Parker, Texas 1 $ 55,000 $ 55,000 $ 180,000

Mortgage Loan Application Detail Totals for Grand Bank of Texas 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 Improvement 52 $4,413,000 $84,000 $582,000 $144,000 $527,000
Home Purchase 51 $19,746,000 $387,000 $2,150,000 $200,000 $3,718,000
Refinancing 5 $2,011,000 $402,000 $1,000,000 $610,000 $2,604,000

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 60 $15,792,000 $263,000 $2,100,000 $248,000 $2,604,000
Not applicable 28 $6,303,000 $225,000 $1,275,000 $0 $0
Hispanic 15 $1,321,000 $88,000 $230,000 $334,000 $3,718,000
Not Provided 2 $2,331,000 $1,165,000 $2,150,000 $143,000 $202,000
American Indian or Alaskan Native 1 $320,000 $320,000 $320,000 $195,000 $195,000
Asian 1 $68,000 $68,000 $68,000 $179,000 $179,000
Black or African American 1 $35,000 $35,000 $35,000 $233,000 $233,000
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) 108 $26,170,000 $242,000 $2,150,000 $192,000 $3,718,000
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 80 $22,561,000 $282,000 $2,150,000 $207,000 $3,718,000
Application Denied By Financial Institution 14 $571,000 $40,000 $85,000 $104,000 $233,000
Application Approved But Not Accepted 8 $2,637,000 $329,000 $1,916,000 $297,000 $976,000
Application Withdrawn By Applicant 4 $239,000 $59,000 $110,000 $92,000 $145,000
Loan Purchased By The Institution 2 $162,000 $81,000 $82,000 $0 $0
Preapproval Approved but not Accepted 0 $0 $0 $0 $0 $0
Preapproval Denied by Financial Institution 0 $0 $0 $0 $0 $0
File Closed For Incompleteness 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 Grand Bank of Texas'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 Grand Bank of Texas'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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