United Southern Bank Mortgage Lending & HMDA Data, 2018

In 2018, United Southern Bank of Umatilla, FL reported 175 mortgage applications totaling $30.4 million, down 10% from 2017. The average application was for $173,857, and applicants reported an average income of $111,245. 72% of its applications resulted in an originated loan and 16% were denied. Its largest markets were Orlando-Kissimmee-Sanford, FL (137), The Villages, FL (13) and Ocala, FL (9) (applications in parentheses).

Mortgage Company & Address United Southern Bank
Po Drawer 29
Umatilla, FL 32784
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  2009  2008  2007  2006  2005  2004  2003  
Total Number of Mortgage Applications 175
Total Mortgage Loan Application Amount $30,425,000
Average Mortgage Loan Application Amount $173,857
Highest Mortgage Loan Application Amount $2,005,000
Average Applicant Income $111,245
Highest Applicant Income $568,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records United Southern Bank filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 United Southern Bank by County in 2018

County Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loans Applications Average Mortgage Loan Application Amount Average Applicant Income
Lake, Florida 126 $ 18,340,000 $ 145,555 $ 106,000
Sumter, Florida 13 $ 5,025,000 $ 386,538 $ 101,000
Orange, Florida 10 $ 2,950,000 $ 295,000 $ 160,000
Marion, Florida 9 $ 965,000 $ 107,222 $ 125,000
Volusia, Florida 7 $ 1,285,000 $ 183,571 $ 101,000
Hillsborough, Florida 2 $ 360,000 $ 180,000 $ 87,000
Alachua, Florida 1 $ 305,000 $ 305,000 $ 0
Holmes, Florida 1 $ 75,000 $ 75,000 $ 69,000
Indian River, Florida 1 $ 135,000 $ 135,000 $ 0
Manatee, Florida 1 $ 255,000 $ 255,000 $ 0
Pinellas, Florida 1 $ 155,000 $ 155,000 $ 103,000
Polk, Florida 1 $ 305,000 $ 305,000 $ 0
Seminole, Florida 1 $ 65,000 $ 65,000 $ 66,000
Franklin, Virginia 1 $ 205,000 $ 205,000 $ 98,000

Mortgage Loan Application Detail Totals for United Southern Bank in 2018

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 132 $25,380,000 $192,000 $2,005,000 $119,000 $568,000
Refinancing 19 $3,665,000 $192,000 $565,000 $128,000 $515,000
Home Improvement 16 $850,000 $53,000 $145,000 $53,000 $120,000
Other Purpose 8 $530,000 $66,000 $155,000 $60,000 $140,000
Cash-out Refinancing 0 $0 $0 $0 $0 $0
Not Applicable 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 115 $19,275,000 $167,000 $805,000 $113,000 $568,000
Not applicable 39 $8,245,000 $211,000 $2,005,000 $0 $0
Not Provided 9 $1,215,000 $135,000 $295,000 $88,000 $230,000
Hispanic 6 $690,000 $115,000 $205,000 $93,000 $238,000
Black or African American 3 $205,000 $68,000 $95,000 $46,000 $80,000
American Indian or Alaskan Native 1 $275,000 $275,000 $275,000 $69,000 $69,000
Asian 1 $195,000 $195,000 $195,000 $87,000 $87,000
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) 171 $29,645,000 $173,000 $2,005,000 $110,000 $568,000
FHA-insured (Federal Housing Administration) 3 $485,000 $161,000 $205,000 $65,000 $98,000
VA-guaranteed (Veterans Administration) 1 $295,000 $295,000 $295,000 $71,000 $71,000
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 126 $22,260,000 $176,000 $2,005,000 $117,000 $568,000
Application Denied By Financial Institution 28 $3,340,000 $119,000 $445,000 $58,000 $178,000
Application Withdrawn By Applicant 11 $2,315,000 $210,000 $705,000 $103,000 $272,000
Application Approved But Not Accepted 10 $2,510,000 $251,000 $455,000 $187,000 $568,000
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
Debt-To-Income Ratio 175 $30,425,000 $173,000 $2,005,000 $109,000 $568,000
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
Not applicable 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
Credit History 0 $0 $0 $0 $0 $0

Our comprehensive HMDA mortgage statistics provide invaluable insights into United Southern Bank's 2018 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 United Southern 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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