Energy Federal Credit Union Mortgage Lending & HMDA Data, 2009

In 2009, Energy Federal Credit Union of Rockville, MD reported 32 mortgage applications totaling $7.6 million, about the same as 2008. The average application was for $237,968, and applicants reported an average income of $131,312. 66% of its applications resulted in an originated loan and 16% were denied. Its largest markets were Bethesda-Frederick-Rockville, MD (13), Washington-Arlington-Alexandria, DC-VA-MD-WV (10) and Atlanta-Sandy Springs-Marietta, GA (2) (applications in parentheses).

Mortgage Company & Address Energy Federal Credit Union
805 King Farm Blvd Suite 110
Rockville, MD 20850
Tel #: available with data download
Federal Regulator * available with data download
Years 2016  2015  2014  2013  2012  2011  2010  2009  2008  2007  2006  2005  2004  2003  
Total Number of Mortgage Applications 32
Total Mortgage Loan Application Amount $7,615,000
Average Mortgage Loan Application Amount $237,968
Highest Mortgage Loan Application Amount $578,000
Average Applicant Income $131,312
Highest Applicant Income $280,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Energy Federal Credit Union filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Energy Federal Credit Union by County in 2009

County Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loans Applications Average Mortgage Loan Application Amount Average Applicant Income
Montgomery, Maryland 11 $ 2,460,000 $ 223,636 $ 139,000
District of Columbia, District Of Columbia 5 $ 1,090,000 $ 218,000 $ 115,000
Frederick, Maryland 2 $ 621,000 $ 310,500 $ 140,000
Fairfax, Virginia 2 $ 645,000 $ 322,500 $ 103,000
Hartford, Connecticut 1 $ 270,000 $ 270,000 $ 71,000
DeKalb, Georgia 1 $ 25,000 $ 25,000 $ 89,000
Fulton, Georgia 1 $ 325,000 $ 325,000 $ 145,000
Carroll, Maryland 1 $ 323,000 $ 323,000 $ 126,000
Howard, Maryland 1 $ 365,000 $ 365,000 $ 219,000
Prince George's, Maryland 1 $ 371,000 $ 371,000 $ 118,000
Worcester, Maryland 1 $ 158,000 $ 158,000 $ 47,000
Wake, North Carolina 1 $ 336,000 $ 336,000 $ 151,000
Carbon, Pennsylvania 1 $ 167,000 $ 167,000 $ 144,000
Arlington, Virginia 1 $ 65,000 $ 65,000 $ 280,000
Culpeper, Virginia 1 $ 230,000 $ 230,000 $ 182,000
Prince William, Virginia 1 $ 164,000 $ 164,000 $ 58,000

Mortgage Loan Application Detail Totals for Energy Federal Credit Union in 2009

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
Refinancing 23 $6,058,000 $263,000 $578,000 $125,000 $249,000
Home Improvement 5 $402,000 $80,000 $230,000 $155,000 $280,000
Home Purchase 4 $1,155,000 $288,000 $325,000 $138,000 $215,000

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 20 $4,592,000 $229,000 $417,000 $135,000 $280,000
Not Provided 7 $1,956,000 $279,000 $578,000 $147,000 $249,000
Black or African American 3 $711,000 $237,000 $371,000 $104,000 $118,000
Asian 1 $152,000 $152,000 $152,000 $54,000 $54,000
Native Hawaiian or Other Pacific Islander 1 $204,000 $204,000 $204,000 $105,000 $105,000
Not applicable 0 $0 $0 $0 $0 $0
American Indian or Alaskan Native 0 $0 $0 $0 $0 $0
Hispanic 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) 32 $7,615,000 $237,000 $578,000 $132,000 $280,000
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 21 $4,834,000 $230,000 $365,000 $133,000 $280,000
Application Withdrawn By Applicant 6 $2,116,000 $352,000 $578,000 $170,000 $249,000
Application Denied By Financial Institution 5 $665,000 $133,000 $300,000 $80,000 $124,000
Application Approved But Not Accepted 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 3 $207,000 $69,000 $152,000 $77,000 $89,000
Debt-To-Income Ratio 1 $158,000 $158,000 $158,000 $47,000 $47,000
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
Credit Application Incomplete 0 $0 $0 $0 $0 $0
Credit History 0 $0 $0 $0 $0 $0

Our comprehensive HMDA mortgage statistics provide invaluable insights into Energy Federal Credit Union's 2009 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 Energy 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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