Green Belt Bank & Trust Mortgage Lending & HMDA Data, 2019

In 2019, Green Belt Bank & Trust of Iowa Falls, IA reported 176 mortgage applications totaling $16.0 million, up 1% from 2018. The average application was for $91,079, and applicants reported an average income of $71,113. 82% of its applications resulted in an originated loan and 11% were denied. Its largest markets were Waterloo-Cedar Falls, IA (23), Ames, IA (2) and Des Moines-West Des Moines, IA (2) (applications in parentheses).

Mortgage Company & Address Green Belt Bank & Trust
616 Washington Ave.
Iowa Falls, IA 50126
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  
Total Number of Mortgage Applications 176
Total Mortgage Loan Application Amount $16,030,000
Average Mortgage Loan Application Amount $91,079
Highest Mortgage Loan Application Amount $405,000
Average Applicant Income $71,113
Highest Applicant Income $417,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Green Belt Bank & Trust filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Green Belt Bank & Trust by County in 2019

County Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loans Applications Average Mortgage Loan Application Amount Average Applicant Income
Hardin, Iowa 110 $ 9,590,000 $ 87,181 $ 59,000
Grundy, Iowa 20 $ 2,120,000 $ 106,000 $ 84,000
Wright, Iowa 12 $ 830,000 $ 69,166 $ 91,000
Franklin, Iowa 9 $ 425,000 $ 47,222 $ 53,000
Marshall, Iowa 5 $ 735,000 $ 147,000 $ 215,000
Butler, Iowa 4 $ 480,000 $ 120,000 $ 67,000
Black Hawk, Iowa 2 $ 320,000 $ 160,000 $ 89,000
Hancock, Iowa 2 $ 110,000 $ 55,000 $ 45,000
Story, Iowa 2 $ 240,000 $ 120,000 $ 91,000
Bremer, Iowa 1 $ 125,000 $ 125,000 $ 60,000
Buchanan, Iowa 1 $ 115,000 $ 115,000 $ 18,000
Clarke, Iowa 1 $ 155,000 $ 155,000 $ 110,000
Dallas, Iowa 1 $ 155,000 $ 155,000 $ 264,000
Dickinson, Iowa 1 $ 135,000 $ 135,000 $ 93,000
Hamilton, Iowa 1 $ 115,000 $ 115,000 $ 97,000
Pocahontas, Iowa 1 $ 35,000 $ 35,000 $ 62,000
Polk, Iowa 1 $ 185,000 $ 185,000 $ 122,000
Tama, Iowa 1 $ 85,000 $ 85,000 $ 0
Cass, Minnesota 1 $ 75,000 $ 75,000 $ 0

Mortgage Loan Application Detail Totals for Green Belt Bank & Trust in 2019

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 91 $7,815,000 $85,000 $265,000 $65,000 $321,000
Refinancing 47 $4,735,000 $100,000 $385,000 $79,000 $417,000
Cash-out Refinancing 17 $2,005,000 $117,000 $205,000 $67,000 $128,000
Other Purpose 12 $1,080,000 $90,000 $405,000 $100,000 $260,000
Home Improvement 9 $395,000 $43,000 $95,000 $61,000 $103,000
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 160 $14,920,000 $93,000 $405,000 $72,000 $417,000
Hispanic 8 $440,000 $55,000 $115,000 $53,000 $97,000
Not applicable 5 $465,000 $93,000 $265,000 $0 $0
Not Provided 2 $180,000 $90,000 $145,000 $76,000 $97,000
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

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) 176 $16,030,000 $91,000 $405,000 $71,000 $417,000
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 145 $13,725,000 $94,000 $405,000 $75,000 $417,000
Application Denied By Financial Institution 20 $1,430,000 $71,000 $195,000 $51,000 $127,000
Application Withdrawn By Applicant 9 $515,000 $57,000 $125,000 $56,000 $117,000
File Closed For Incompleteness 2 $360,000 $180,000 $285,000 $72,000 $78,000
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
Debt-To-Income Ratio 176 $16,030,000 $91,000 $405,000 $71,000 $417,000
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 Green Belt Bank & Trust's 2019 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 Green Belt Bank & Trust'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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