First National Bank of the Gul Mortgage Lending & HMDA Data, 2012

In 2012, First National Bank of the Gul of Naples, FL reported 255 mortgage applications totaling $121.8 million, up 168% from 2011. The average application was for $477,819, and applicants reported an average income of $297,058. 72% of its applications resulted in an originated loan and 12% were denied. Its largest markets were Naples-Marco Island, FL (114), Cape Coral-Fort Myers, FL (79) and North Port-Bradenton-Sarasota, FL (14) (applications in parentheses).

Mortgage Company & Address First National Bank of the Gul
3560 Kraft Road
Naples, FL 34105
Tel #: available with data download
Federal Regulator * available with data download
Years 2013  2012  2011  2010  2009  
Total Number of Mortgage Applications 255
Total Mortgage Loan Application Amount $121,844,000
Average Mortgage Loan Application Amount $477,819
Highest Mortgage Loan Application Amount $6,400,000
Average Applicant Income $297,058
Highest Applicant Income $7,983,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records First National Bank of the Gul filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 First National Bank of the Gul by County in 2012

County Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loans Applications Average Mortgage Loan Application Amount Average Applicant Income
Collier, Florida 114 $ 76,370,000 $ 669,912 $ 364,000
Lee, Florida 79 $ 23,929,000 $ 302,898 $ 246,000
Charlotte, Florida 11 $ 1,672,000 $ 152,000 $ 187,000
Manatee, Florida 10 $ 5,845,000 $ 584,500 $ 283,000
Miami-Dade, Florida 4 $ 1,526,000 $ 381,500 $ 225,000
Sarasota, Florida 4 $ 755,000 $ 188,750 $ 166,000
Palm Beach, Florida 3 $ 1,643,000 $ 547,666 $ 241,000
Pinellas, Florida 2 $ 600,000 $ 300,000 $ 217,000
Brevard, Florida 1 $ 115,000 $ 115,000 $ 202,000
Broward, Florida 1 $ 46,000 $ 46,000 $ 74,000
Lake, Florida 1 $ 1,000,000 $ 1,000,000 $ 0
Monroe, Florida 1 $ 92,000 $ 92,000 $ 424,000
Pasco, Florida 1 $ 112,000 $ 112,000 $ 120,000
St. Johns, Florida 1 $ 1,700,000 $ 1,700,000 $ 0
St. Lucie, Florida 1 $ 68,000 $ 68,000 $ 273,000

Mortgage Loan Application Detail Totals for First National Bank of the Gul in 2012

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 198 $84,009,000 $424,000 $4,600,000 $306,000 $7,983,000
Refinancing 57 $37,835,000 $663,000 $6,400,000 $266,000 $2,746,000
Home Improvement 0 $0 $0 $0 $0 $0

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 218 $97,001,000 $444,000 $6,400,000 $344,000 $7,983,000
Not applicable 28 $23,081,000 $824,000 $5,400,000 $0 $0
Hispanic 9 $1,762,000 $195,000 $505,000 $88,000 $349,000
Native Hawaiian or Other Pacific Islander 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
Not Provided 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) 255 $121,844,000 $477,000 $6,400,000 $297,000 $7,983,000
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 183 $83,964,000 $458,000 $6,400,000 $291,000 $7,983,000
Application Denied By Financial Institution 31 $20,955,000 $675,000 $4,600,000 $315,000 $2,746,000
Preapproval Approved but not Accepted 17 $5,752,000 $338,000 $2,100,000 $357,000 $3,909,000
Application Approved But Not Accepted 17 $7,473,000 $439,000 $2,000,000 $297,000 $2,342,000
Application Withdrawn By Applicant 5 $3,340,000 $668,000 $1,750,000 $294,000 $1,000,000
Preapproval Denied by Financial Institution 2 $360,000 $180,000 $240,000 $84,000 $94,000
File Closed For Incompleteness 0 $0 $0 $0 $0 $0
Loan Purchased By The 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 14 $8,936,000 $638,000 $2,450,000 $507,000 $2,746,000
Debt-To-Income Ratio 11 $9,985,000 $907,000 $4,600,000 $148,000 $666,000
Other 4 $1,081,000 $270,000 $498,000 $100,000 $167,000
Credit History 2 $468,000 $234,000 $315,000 $60,000 $120,000
Insufficient Cash (Downpayment, Closing Cost) 1 $495,000 $495,000 $495,000 $258,000 $258,000
Credit Application Incomplete 1 $350,000 $350,000 $350,000 $434,000 $434,000
Employment History 0 $0 $0 $0 $0 $0
Mortgage Insurance Denied 0 $0 $0 $0 $0 $0
Unverifiable Information 0 $0 $0 $0 $0 $0

Our comprehensive HMDA mortgage statistics provide invaluable insights into First National Bank of the Gul's 2012 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 First National Bank of the Gul'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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