Lone Star Credit Union Mortgage Lending & HMDA Data, 2022

In 2022, Lone Star Credit Union of Dallas, TX reported 125 mortgage applications totaling $18.0 million, down 6% from 2021. The average application was for $144,280, and applicants reported an average income of $111,672. 60% of its applications resulted in an originated loan and 28% were denied. Its largest markets were Dallas-Plano-Irving, TX (73), Fort Worth-Arlington, TX (2) and Austin-Round Rock, TX (1) (applications in parentheses).

Mortgage Company & Address Lone Star Credit Union
7508 Ferguson Road
Dallas, TX 75228
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 125
Total Mortgage Loan Application Amount $18,035,000
Average Mortgage Loan Application Amount $144,280
Highest Mortgage Loan Application Amount $1,205,000
Average Applicant Income $111,672
Highest Applicant Income $2,441,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Lone Star Credit Union filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Lone Star Credit Union by Metropolitan Area in 2022

Metro Area Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loan Applications Average Mortgage Loan Application Amount Average Applicant Income
Dallas-Plano-Irving, TX 73 $ 10,925,000 $ 149,657 $ 129,000
Outside any metro area 12 $ 1,860,000 $ 155,000 $ 114,000
Fort Worth-Arlington, TX 2 $ 270,000 $ 135,000 $ 106,000
Austin-Round Rock, TX 1 $ 555,000 $ 555,000 $ 162,000
Nashville-Davidson--Murfreesboro--Franklin, TN 1 $ 1,205,000 $ 1,205,000 $ 250,000
Sherman-Denison, TX 1 $ 285,000 $ 285,000 $ 102,000
Tyler, TX 1 $ 25,000 $ 25,000 $ 63,000

Mortgage Loan Application Detail Totals for Lone Star Credit Union in 2022

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
Other Purpose 33 $3,175,000 $96,000 $355,000 $84,000 $355,000
Refinancing 28 $3,950,000 $141,000 $555,000 $113,000 $274,000
Home Improvement 26 $2,460,000 $94,000 $355,000 $160,000 $2,441,000
Cash-out Refinancing 23 $3,365,000 $146,000 $315,000 $76,000 $164,000
Home Purchase 15 $5,085,000 $339,000 $1,205,000 $141,000 $374,000
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 62 $9,140,000 $147,000 $575,000 $139,000 $2,441,000
Hispanic 38 $4,020,000 $105,000 $305,000 $76,000 $374,000
Not Provided 12 $1,730,000 $144,000 $375,000 $103,000 $194,000
Black or African American 10 $2,150,000 $215,000 $1,205,000 $79,000 $250,000
Asian 2 $900,000 $450,000 $555,000 $140,000 $162,000
Not applicable 1 $95,000 $95,000 $95,000 $0 $0
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) 125 $18,035,000 $144,000 $1,205,000 $112,000 $2,441,000
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 75 $10,505,000 $140,000 $575,000 $135,000 $2,441,000
Application Denied By Financial Institution 35 $3,365,000 $96,000 $315,000 $72,000 $374,000
Application Withdrawn By Applicant 10 $2,340,000 $234,000 $555,000 $80,000 $162,000
File Closed For Incompleteness 3 $1,595,000 $531,000 $1,205,000 $129,000 $250,000
Application Approved But Not Accepted 2 $230,000 $115,000 $165,000 $50,000 $57,000
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
Not applicable 90 $14,670,000 $163,000 $1,205,000 $127,000 $2,441,000
Credit History 16 $1,160,000 $72,000 $155,000 $62,000 $175,000
Debt-To-Income Ratio 12 $1,490,000 $124,000 $315,000 $48,000 $84,000
Other 4 $200,000 $50,000 $65,000 $46,000 $85,000
Unverifiable Information 2 $460,000 $230,000 $305,000 $319,000 $374,000
Collateral 1 $55,000 $55,000 $55,000 $115,000 $115,000
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 Lone Star Credit Union's 2022 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 Lone Star Credit Union'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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