Sun East Federal Credit Union Mortgage Lending & HMDA Data, 2010

In 2010, Sun East Federal Credit Union of Aston, PA reported 403 mortgage applications totaling $55.9 million, down 4% from 2009. The average application was for $138,831, and applicants reported an average income of $89,091. 99% of its applications resulted in an originated loan and 1% were denied. Its largest markets were Philadelphia, PA (248), Wilmington, DE-MD-NJ (44) and Springfield, MA (16) (applications in parentheses).

Mortgage Company & Address Sun East Federal Credit Union
4500 Pennell Road
Aston, PA 19014
Tel #: available with data download
Federal Regulator * available with data download
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Total Number of Mortgage Applications 403
Total Mortgage Loan Application Amount $55,949,000
Average Mortgage Loan Application Amount $138,831
Highest Mortgage Loan Application Amount $800,000
Average Applicant Income $89,091
Highest Applicant Income $786,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Sun East Federal Credit Union filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Sun East Federal Credit Union by County in 2010

County Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loans Applications Average Mortgage Loan Application Amount Average Applicant Income
Delaware, Pennsylvania 198 $ 20,966,000 $ 105,888 $ 81,000
New Castle, Delaware 39 $ 5,850,000 $ 150,000 $ 89,000
Chester, Pennsylvania 32 $ 4,693,000 $ 146,656 $ 101,000
Philadelphia, Pennsylvania 10 $ 1,007,000 $ 100,700 $ 70,000
Franklin, Massachusetts 8 $ 1,388,000 $ 173,500 $ 109,000
Hampshire, Massachusetts 8 $ 1,833,000 $ 229,125 $ 82,000
Lancaster, Pennsylvania 8 $ 481,000 $ 60,125 $ 70,000
Fairfax, Virginia 8 $ 3,206,000 $ 400,750 $ 125,000
Sussex, Delaware 5 $ 729,000 $ 145,800 $ 79,000
Gloucester, New Jersey 5 $ 911,000 $ 182,200 $ 60,000
James City, Virginia 5 $ 1,478,000 $ 295,600 $ 84,000
Burlington, New Jersey 4 $ 462,000 $ 115,500 $ 94,000
Camden, New Jersey 4 $ 160,000 $ 40,000 $ 52,000
Bucks, Pennsylvania 4 $ 93,000 $ 23,250 $ 81,000
Montgomery, Pennsylvania 4 $ 739,000 $ 184,750 $ 109,000
Cecil, Maryland 3 $ 85,000 $ 28,333 $ 33,000
Kent, Michigan 3 $ 670,000 $ 223,333 $ 71,000
Newport News, Virginia 3 $ 397,000 $ 132,333 $ 105,000
Prince William, Virginia 3 $ 779,000 $ 259,666 $ 127,000
York, Virginia 3 $ 653,000 $ 217,666 $ 78,000
Baltimore City, Maryland 2 $ 278,000 $ 139,000 $ 126,000
Worcester, Massachusetts 2 $ 368,000 $ 184,000 $ 84,000
Cape May, New Jersey 2 $ 482,000 $ 241,000 $ 186,000
Salem, New Jersey 2 $ 342,000 $ 171,000 $ 111,000
Berks, Pennsylvania 2 $ 314,000 $ 157,000 $ 115,000
Williamsburg, Virginia 2 $ 620,000 $ 310,000 $ 449,000
Fairfield, Connecticut 1 $ 199,000 $ 199,000 $ 97,000
Kent, Delaware 1 $ 61,000 $ 61,000 $ 32,000
Indian River, Florida 1 $ 320,000 $ 320,000 $ 141,000
Lake, Florida 1 $ 132,000 $ 132,000 $ 57,000
Talbot, Maryland 1 $ 616,000 $ 616,000 $ 425,000
Wicomico, Maryland 1 $ 117,000 $ 117,000 $ 108,000
Suffolk, Massachusetts 1 $ 313,000 $ 313,000 $ 113,000
Crawford, Michigan 1 $ 68,000 $ 68,000 $ 24,000
Muskegon, Michigan 1 $ 38,000 $ 38,000 $ 41,000
Ottawa, Michigan 1 $ 141,000 $ 141,000 $ 28,000
Hillsborough, New Hampshire 1 $ 82,000 $ 82,000 $ 24,000
Sussex, New Jersey 1 $ 155,000 $ 155,000 $ 100,000
Otsego, New York 1 $ 265,000 $ 265,000 $ 44,000
Craven, North Carolina 1 $ 365,000 $ 365,000 $ 265,000
New Hanover, North Carolina 1 $ 114,000 $ 114,000 $ 230,000
Alfalfa, Oklahoma 1 $ 159,000 $ 159,000 $ 160,000
Northampton, Pennsylvania 1 $ 243,000 $ 243,000 $ 157,000
Tom Green, Texas 1 $ 114,000 $ 114,000 $ 35,000
Alexandria, Virginia 1 $ 660,000 $ 660,000 $ 140,000
Botetourt, Virginia 1 $ 265,000 $ 265,000 $ 82,000
Chesterfield, Virginia 1 $ 105,000 $ 105,000 $ 30,000
Fauquier, Virginia 1 $ 203,000 $ 203,000 $ 88,000
Gloucester, Virginia 1 $ 216,000 $ 216,000 $ 76,000
Hopewell, Virginia 1 $ 70,000 $ 70,000 $ 62,000
Isle of Wight, Virginia 1 $ 172,000 $ 172,000 $ 70,000
Madison, Virginia 1 $ 178,000 $ 178,000 $ 65,000
Mathews, Virginia 1 $ 180,000 $ 180,000 $ 62,000
Richmond City, Virginia 1 $ 143,000 $ 143,000 $ 57,000
Rockingham, Virginia 1 $ 246,000 $ 246,000 $ 94,000
Stafford, Virginia 1 $ 579,000 $ 579,000 $ 219,000
Kanawha, West Virginia 1 $ 129,000 $ 129,000 $ 85,000

Mortgage Loan Application Detail Totals for Sun East Federal Credit Union in 2010

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 268 $42,387,000 $158,000 $800,000 $89,000 $342,000
Home Improvement 71 $3,064,000 $43,000 $164,000 $76,000 $183,000
Home Purchase 64 $10,498,000 $164,000 $660,000 $104,000 $786,000

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 291 $44,953,000 $154,000 $800,000 $92,000 $786,000
Not Provided 77 $7,850,000 $101,000 $797,000 $84,000 $220,000
Black or African American 23 $1,716,000 $74,000 $243,000 $75,000 $165,000
Hispanic 8 $824,000 $103,000 $292,000 $62,000 $95,000
Asian 4 $606,000 $151,000 $345,000 $108,000 $141,000
American Indian or Alaskan Native 0 $0 $0 $0 $0 $0
Native Hawaiian or Other Pacific Islander 0 $0 $0 $0 $0 $0
Not applicable 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) 400 $55,009,000 $137,000 $800,000 $89,000 $786,000
VA-guaranteed (Veterans Administration) 2 $815,000 $407,000 $660,000 $120,000 $140,000
FHA-insured (Federal Housing Administration) 1 $125,000 $125,000 $125,000 $42,000 $42,000
FSA/RHS (Farm Service Agency or Rural Housing Service) 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 397 $55,491,000 $139,000 $800,000 $89,000 $786,000
Application Denied By Financial Institution 6 $458,000 $76,000 $165,000 $56,000 $72,000
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
Credit History 2 $225,000 $112,000 $145,000 $69,000 $70,000
Debt-To-Income Ratio 2 $193,000 $96,000 $165,000 $35,000 $50,000
Collateral 2 $40,000 $20,000 $30,000 $63,000 $72,000
Credit Application Incomplete 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 Sun East Federal Credit Union's 2010 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 Sun East 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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