Park View Federal Savings Bank Mortgage Lending & HMDA Data, 2006

In 2006, Park View Federal Savings Bank of Solon, OH reported 1,087 mortgage applications totaling $186.7 million, down 14% from 2005. The average application was for $171,784, and applicants reported an average income of $102,370. 73% of its applications resulted in an originated loan and 2% were denied. Its largest markets were Cleveland-Elyria-Mentor, OH (787), Akron, OH (185) and Canton-Massillon, OH (9) (applications in parentheses).

Mortgage Company & Address Park View Federal Savings Bank
30000 Aurora Road
Solon, OH 44139
Tel #: available with data download
Federal Regulator * available with data download
Years 2010  2009  2008  2007  2006  2005  2004  2003  
Total Number of Mortgage Applications 1,087
Total Mortgage Loan Application Amount $186,730,000
Average Mortgage Loan Application Amount $171,784
Highest Mortgage Loan Application Amount $6,564,000
Average Applicant Income $102,370
Highest Applicant Income $1,200,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Park View Federal Savings Bank filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Park View Federal Savings Bank 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
Cuyahoga, Ohio 522 $ 83,425,000 $ 159,818 $ 91,000
Summit, Ohio 109 $ 18,115,000 $ 166,192 $ 90,000
Geauga, Ohio 99 $ 20,263,000 $ 204,676 $ 109,000
Lake, Ohio 78 $ 13,776,000 $ 176,615 $ 82,000
Portage, Ohio 76 $ 9,716,000 $ 127,842 $ 103,000
Medina, Ohio 61 $ 10,243,000 $ 167,918 $ 102,000
Lorain, Ohio 27 $ 6,652,000 $ 246,370 $ 97,000
Ashtabula, Ohio 17 $ 1,875,000 $ 110,294 $ 79,000
Ottawa, Ohio 8 $ 895,000 $ 111,875 $ 67,000
Stark, Ohio 8 $ 725,000 $ 90,625 $ 97,000
Palm Beach, Florida 6 $ 1,937,000 $ 322,833 $ 172,000
Trumbull, Ohio 5 $ 912,000 $ 182,400 $ 61,000
Maricopa, Arizona 4 $ 1,225,000 $ 306,250 $ 384,000
Sarasota, Florida 4 $ 744,000 $ 186,000 $ 267,000
Erie, Ohio 4 $ 278,000 $ 69,500 $ 62,000
Monroe, Florida 3 $ 3,000,000 $ 1,000,000 $ 685,000
Riverside, California 2 $ 1,000,000 $ 500,000 $ 324,000
Boulder, Colorado 2 $ 453,000 $ 226,500 $ 170,000
Denver, Colorado 2 $ 162,000 $ 81,000 $ 256,000
Collier, Florida 2 $ 900,000 $ 450,000 $ 499,000
Lee, Florida 2 $ 694,000 $ 347,000 $ 240,000
Pasco, Florida 2 $ 209,000 $ 104,500 $ 105,000
Cook, Illinois 2 $ 604,000 $ 302,000 $ 187,000
Lake, Illinois 2 $ 600,000 $ 300,000 $ 275,000
Ingham, Michigan 2 $ 370,000 $ 185,000 $ 120,000
Bernalillo, New Mexico 2 $ 749,000 $ 374,500 $ 86,000
Cattaraugus, New York 2 $ 450,000 $ 225,000 $ 966,000
Chautauqua, New York 2 $ 188,000 $ 94,000 $ 210,000
Wake, North Carolina 2 $ 225,000 $ 112,500 $ 81,000
Mahoning, Ohio 2 $ 117,000 $ 58,500 $ 80,000
Richland, Ohio 2 $ 177,000 $ 88,500 $ 92,000
Mercer, Pennsylvania 2 $ 264,000 $ 132,000 $ 61,000
Somerset, Pennsylvania 2 $ 374,000 $ 187,000 $ 236,000
Los Angeles, California 1 $ 404,000 $ 404,000 $ 68,000
Broward, Florida 1 $ 258,000 $ 258,000 $ 17,000
Charlotte, Florida 1 $ 133,000 $ 133,000 $ 60,000
Columbia, Florida 1 $ 115,000 $ 115,000 $ 40,000
Hernando, Florida 1 $ 78,000 $ 78,000 $ 40,000
Manatee, Florida 1 $ 380,000 $ 380,000 $ 225,000
Orange, Florida 1 $ 350,000 $ 350,000 $ 192,000
Pinellas, Florida 1 $ 260,000 $ 260,000 $ 153,000
Polk, Florida 1 $ 197,000 $ 197,000 $ 222,000
Volusia, Florida 1 $ 190,000 $ 190,000 $ 46,000
Fulton, Georgia 1 $ 140,000 $ 140,000 $ 1,000,000
Middlesex, New Jersey 1 $ 204,000 $ 204,000 $ 117,000
Monmouth, New Jersey 1 $ 232,000 $ 232,000 $ 117,000
Buncombe, North Carolina 1 $ 344,000 $ 344,000 $ 279,000
Ashland, Ohio 1 $ 85,000 $ 85,000 $ 83,000
Carroll, Ohio 1 $ 205,000 $ 205,000 $ 113,000
Franklin, Ohio 1 $ 160,000 $ 160,000 $ 179,000
Holmes, Ohio 1 $ 136,000 $ 136,000 $ 62,000
Huron, Ohio 1 $ 52,000 $ 52,000 $ 108,000
Wayne, Ohio 1 $ 155,000 $ 155,000 $ 60,000
Philadelphia, Pennsylvania 1 $ 71,000 $ 71,000 $ 136,000
Wood, West Virginia 1 $ 1,264,000 $ 1,264,000 $ 0

Mortgage Loan Application Detail Totals for Park View Federal Savings Bank 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 Purchase 643 $113,878,000 $177,000 $2,600,000 $112,000 $1,200,000
Refinancing 427 $71,306,000 $166,000 $6,564,000 $89,000 $1,140,000
Home Improvement 17 $1,546,000 $90,000 $185,000 $74,000 $163,000

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 921 $139,532,000 $151,000 $2,200,000 $102,000 $1,200,000
Not applicable 74 $34,376,000 $464,000 $6,564,000 $125,000 $966,000
Black or African American 40 $4,192,000 $104,000 $417,000 $76,000 $465,000
Asian 25 $3,427,000 $137,000 $417,000 $79,000 $143,000
Not Provided 15 $3,603,000 $240,000 $1,700,000 $104,000 $287,000
Hispanic 9 $992,000 $110,000 $404,000 $44,000 $68,000
American Indian or Alaskan Native 2 $191,000 $95,000 $176,000 $74,000 $100,000
Native Hawaiian or Other Pacific Islander 1 $417,000 $417,000 $417,000 $355,000 $355,000

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) 1,087 $186,730,000 $171,000 $6,564,000 $102,000 $1,200,000
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 797 $136,610,000 $171,000 $6,564,000 $100,000 $1,200,000
File Closed For Incompleteness 149 $24,411,000 $163,000 $1,583,000 $98,000 $1,123,000
Application Withdrawn By Applicant 82 $12,578,000 $153,000 $700,000 $126,000 $720,000
Application Approved But Not Accepted 29 $6,149,000 $212,000 $850,000 $121,000 $428,000
Application Denied By Financial Institution 27 $6,267,000 $232,000 $1,700,000 $105,000 $465,000
Loan Purchased By The Institution 3 $715,000 $238,000 $503,000 $196,000 $488,000
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
Debt-To-Income Ratio 9 $3,787,000 $420,000 $1,700,000 $111,000 $287,000
Collateral 9 $1,626,000 $180,000 $360,000 $81,000 $240,000
Credit History 6 $637,000 $106,000 $150,000 $131,000 $465,000
Other 2 $110,000 $55,000 $60,000 $82,000 $102,000
Unverifiable Information 1 $107,000 $107,000 $107,000 $156,000 $156,000
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

Our comprehensive HMDA mortgage statistics provide invaluable insights into Park View Federal Savings Bank'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 Park View Federal Savings 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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