Entrust Federal Credit Union Mortgage Lending & HMDA Data, 2006

In 2006, Entrust Federal Credit Union of Richmond, VA reported 44 mortgage applications totaling $3.2 million, down 33% from 2005. The average application was for $71,818, and applicants reported an average income of $69,954. 95% of its applications resulted in an originated loan and 5% were denied. Its largest markets were Richmond, VA (24), Atlanta-Sandy Springs-Marietta, GA (1) and Birmingham-Hoover, AL (1) (applications in parentheses).

Mortgage Company & Address Entrust Federal Credit Union
1801 Dabney Road
Richmond, VA 23230
Tel #: available with data download
Federal Regulator * available with data download
Years 2011  2010  2009  2008  2007  2006  2005  2004  2003  
Total Number of Mortgage Applications 44
Total Mortgage Loan Application Amount $3,160,000
Average Mortgage Loan Application Amount $71,818
Highest Mortgage Loan Application Amount $304,000
Average Applicant Income $69,954
Highest Applicant Income $192,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Entrust Federal Credit Union filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Entrust Federal Credit Union 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
Henrico, Virginia 8 $ 485,000 $ 60,625 $ 112,000
Chesterfield, Virginia 7 $ 461,000 $ 65,857 $ 70,000
Hanover, Virginia 4 $ 192,000 $ 48,000 $ 58,000
Richmond City, Virginia 4 $ 699,000 $ 174,750 $ 62,000
Jefferson, Alabama 1 $ 55,000 $ 55,000 $ 29,000
Teller, Colorado 1 $ 24,000 $ 24,000 $ 51,000
Gwinnett, Georgia 1 $ 9,000 $ 9,000 $ 98,000
Bienville, Louisiana 1 $ 47,000 $ 47,000 $ 37,000
Caddo, Louisiana 1 $ 15,000 $ 15,000 $ 60,000
St. Martin, Louisiana 1 $ 125,000 $ 125,000 $ 37,000
Madison, Mississippi 1 $ 10,000 $ 10,000 $ 64,000
Tunica, Mississippi 1 $ 80,000 $ 80,000 $ 46,000
Taos, New Mexico 1 $ 55,000 $ 55,000 $ 39,000
Durham, North Carolina 1 $ 32,000 $ 32,000 $ 57,000
Mecklenburg, North Carolina 1 $ 29,000 $ 29,000 $ 105,000
Lexington, South Carolina 1 $ 123,000 $ 123,000 $ 66,000
Bowie, Texas 1 $ 24,000 $ 24,000 $ 82,000
Guadalupe, Texas 1 $ 143,000 $ 143,000 $ 46,000
Harrison, Texas 1 $ 52,000 $ 52,000 $ 37,000
Llano, Texas 1 $ 30,000 $ 30,000 $ 34,000
Appomattox, Virginia 1 $ 37,000 $ 37,000 $ 68,000
Powhatan, Virginia 1 $ 81,000 $ 81,000 $ 85,000
Suffolk, Virginia 1 $ 75,000 $ 75,000 $ 90,000

Mortgage Loan Application Detail Totals for Entrust Federal Credit Union 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 Improvement 25 $958,000 $38,000 $99,000 $74,000 $183,000
Refinancing 12 $1,004,000 $83,000 $194,000 $58,000 $192,000
Home Purchase 7 $1,198,000 $171,000 $304,000 $76,000 $143,000

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 Provided 43 $3,017,000 $70,000 $304,000 $71,000 $192,000
Hispanic 1 $143,000 $143,000 $143,000 $46,000 $46,000
Native Hawaiian or Other Pacific Islander 0 $0 $0 $0 $0 $0
Not applicable 0 $0 $0 $0 $0 $0
American Indian or Alaskan Native 0 $0 $0 $0 $0 $0
Asian 0 $0 $0 $0 $0 $0
Black or African American 0 $0 $0 $0 $0 $0
White 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) 44 $3,160,000 $71,000 $304,000 $70,000 $192,000
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 42 $2,883,000 $68,000 $304,000 $71,000 $192,000
Application Denied By Financial Institution 2 $277,000 $138,000 $194,000 $44,000 $47,000
Application Withdrawn By Applicant 0 $0 $0 $0 $0 $0
File Closed For Incompleteness 0 $0 $0 $0 $0 $0
Application Approved But Not Accepted 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 Entrust Federal Credit Union'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 Entrust Federal Credit Union'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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