F & M Bank Mortgage Lending & HMDA Data, 2017

In 2017, F & M Bank of Washington, GA reported 195 mortgage applications totaling $18.5 million, up 2% from 2016. The average application was for $94,846, and applicants reported an average income of $85,256. 91% of its applications resulted in an originated loan and 3% were denied. Its largest markets were Augusta-Richmond County, GA-SC (69), Athens-Clarke County, GA (3) and Myrtle Beach-Conway-North Myrtle Beach, SC-NC (1) (applications in parentheses).

Mortgage Company & Address F & M Bank
911 East Robert Toombs Ave
Washington, GA 30673
Tel #: available with data download
Federal Regulator * available with data download
Years 2025  2024  2023  2022  2021  2020  2019  2018  2017  2016  2015  2014  2013  2012  2011  2010  
Total Number of Mortgage Applications 195
Total Mortgage Loan Application Amount $18,495,000
Average Mortgage Loan Application Amount $94,846
Highest Mortgage Loan Application Amount $1,000,000
Average Applicant Income $85,256
Highest Applicant Income $3,600,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records F & M Bank filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 F & M Bank by County in 2017

County Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loans Applications Average Mortgage Loan Application Amount Average Applicant Income
Wilkes, Georgia 95 $ 7,571,000 $ 79,694 $ 76,000
Lincoln, Georgia 38 $ 3,702,000 $ 97,421 $ 157,000
Taliaferro, Georgia 12 $ 1,389,000 $ 115,750 $ 67,000
Columbia, Georgia 10 $ 1,804,000 $ 180,400 $ 25,000
McDuffie, Georgia 8 $ 532,000 $ 66,500 $ 99,000
Richmond, Georgia 7 $ 552,000 $ 78,857 $ 51,000
Greene, Georgia 6 $ 503,000 $ 83,833 $ 30,000
Aiken, South Carolina 3 $ 407,000 $ 135,666 $ 0
Edgefield, South Carolina 3 $ 358,000 $ 119,333 $ 0
Clarke, Georgia 2 $ 366,000 $ 183,000 $ 135,000
Elbert, Georgia 2 $ 108,000 $ 54,000 $ 69,000
Warren, Georgia 2 $ 109,000 $ 54,500 $ 53,000
Franklin, Georgia 1 $ 24,000 $ 24,000 $ 23,000
Hart, Georgia 1 $ 103,000 $ 103,000 $ 48,000
Oconee, Georgia 1 $ 650,000 $ 650,000 $ 0
Rabun, Georgia 1 $ 18,000 $ 18,000 $ 183,000
Stephens, Georgia 1 $ 53,000 $ 53,000 $ 30,000
Greenwood, South Carolina 1 $ 36,000 $ 36,000 $ 13,000
Horry, South Carolina 1 $ 210,000 $ 210,000 $ 256,000

Mortgage Loan Application Detail Totals for F & M Bank in 2017

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 133 $12,821,000 $96,000 $1,000,000 $71,000 $886,000
Home Purchase 59 $5,559,000 $94,000 $390,000 $120,000 $3,600,000
Home Improvement 3 $115,000 $38,000 $70,000 $34,000 $54,000

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 126 $11,530,000 $91,000 $1,000,000 $85,000 $886,000
Black or African American 30 $1,974,000 $65,000 $900,000 $43,000 $264,000
Not applicable 24 $2,962,000 $123,000 $390,000 $0 $0
Not Provided 7 $715,000 $102,000 $309,000 $76,000 $245,000
Hispanic 6 $1,084,000 $180,000 $720,000 $650,000 $3,600,000
Asian 2 $230,000 $115,000 $174,000 $86,000 $102,000
American Indian or Alaskan Native 0 $0 $0 $0 $0 $0
Native Hawaiian or Other Pacific Islander 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) 195 $18,495,000 $94,000 $1,000,000 $85,000 $3,600,000
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 177 $16,162,000 $91,000 $1,000,000 $66,000 $886,000
Application Withdrawn By Applicant 10 $1,488,000 $148,000 $732,000 $441,000 $3,600,000
Application Denied By Financial Institution 6 $491,000 $81,000 $174,000 $42,000 $71,000
Application Approved But Not Accepted 2 $354,000 $177,000 $254,000 $90,000 $120,000
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
Credit History 5 $317,000 $63,000 $103,000 $37,000 $54,000
Debt-To-Income Ratio 1 $174,000 $174,000 $174,000 $71,000 $71,000
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
Collateral 0 $0 $0 $0 $0 $0
Credit Application Incomplete 0 $0 $0 $0 $0 $0

Our comprehensive HMDA mortgage statistics provide invaluable insights into F & M Bank's 2017 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 F & M 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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