Houston Police Federal Credit Union Mortgage Lending & HMDA Data, 2016

In 2016, Houston Police Federal Credit Union of Houston, TX reported 381 mortgage applications totaling $46.6 million, up 78% from 2015. The average application was for $122,249, and applicants reported an average income of $112,307. 61% of its applications resulted in an originated loan and 20% were denied. Its largest markets were Houston-The Woodlands-Sugar Land, TX (354), Austin-Round Rock, TX (4) and College Station-Bryan, TX (4) (applications in parentheses).

Mortgage Company & Address Houston Police Federal Credit Union
1600 Memorial Dr
Houston, TX 77007
Tel #: available with data download
Federal Regulator * available with data download
Years 2025  2024  2023  2022  2021  2020  2018  2017  2016  2015  2014  2013  2012  2011  2010  2009  2008  2007  
Total Number of Mortgage Applications 381
Total Mortgage Loan Application Amount $46,577,000
Average Mortgage Loan Application Amount $122,249
Highest Mortgage Loan Application Amount $616,000
Average Applicant Income $112,307
Highest Applicant Income $1,702,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Houston Police Federal Credit Union filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Houston Police Federal Credit Union by Metropolitan Area in 2016

Metro Area Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loan Applications Average Mortgage Loan Application Amount Average Applicant Income
Houston-The Woodlands-Sugar Land, TX 354 $ 42,970,000 $ 121,384 $ 113,000
Austin-Round Rock, TX 4 $ 766,000 $ 191,500 $ 139,000
College Station-Bryan, TX 4 $ 664,000 $ 166,000 $ 99,000
Dallas-Plano-Irving, TX 3 $ 488,000 $ 162,666 $ 101,000
San Antonio-New Braunfels, TX 3 $ 342,000 $ 114,000 $ 78,000
Corpus Christi, TX 1 $ 143,000 $ 143,000 $ 60,000
Fort Worth-Arlington, TX 1 $ 78,000 $ 78,000 $ 57,000
Sierra Vista-Douglas, AZ 1 $ 50,000 $ 50,000 $ 27,000

Mortgage Loan Application Detail Totals for Houston Police Federal Credit Union in 2016

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 265 $29,917,000 $112,000 $616,000 $113,000 $1,702,000
Home Purchase 68 $13,416,000 $197,000 $559,000 $107,000 $270,000
Home Improvement 48 $3,244,000 $67,000 $350,000 $116,000 $301,000

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 171 $23,196,000 $135,000 $616,000 $133,000 $1,702,000
Hispanic 110 $10,991,000 $99,000 $317,000 $92,000 $286,000
Black or African American 66 $7,053,000 $106,000 $323,000 $87,000 $190,000
Asian 19 $3,207,000 $168,000 $380,000 $95,000 $182,000
Not Provided 12 $1,550,000 $129,000 $177,000 $168,000 $456,000
American Indian or Alaskan Native 3 $580,000 $193,000 $300,000 $61,000 $99,000
Native Hawaiin or Other Pacific Islander 0 $0 $0 $0 $0 $0
Not applicable 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) 377 $46,005,000 $122,000 $616,000 $113,000 $1,702,000
FHA-insured (Federal Housing Administration) 2 $291,000 $145,000 $170,000 $61,000 $62,000
VA-guaranteed (Veterans Administration) 2 $281,000 $140,000 $170,000 $80,000 $95,000
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 232 $24,757,000 $106,000 $616,000 $119,000 $1,702,000
Application Denied By Financial Institution 78 $10,636,000 $136,000 $323,000 $97,000 $456,000
Application Withdrawn By Applicant 53 $8,746,000 $165,000 $396,000 $107,000 $270,000
File Closed For Incompleteness 17 $2,288,000 $134,000 $269,000 $113,000 $324,000
Application Approved But Not Accepted 1 $150,000 $150,000 $150,000 $80,000 $80,000
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
Credit History 42 $4,749,000 $113,000 $240,000 $92,000 $456,000
Debt-To-Income Ratio 19 $3,046,000 $160,000 $323,000 $90,000 $236,000
Other 14 $2,260,000 $161,000 $276,000 $120,000 $180,000
Insufficient Cash (Downpayment, Closing Cost) 1 $244,000 $244,000 $244,000 $72,000 $72,000
Mortgage Insurance Denied 1 $35,000 $35,000 $35,000 $83,000 $83,000
Collateral 1 $302,000 $302,000 $302,000 $143,000 $143,000
Credit Application Incomplete 0 $0 $0 $0 $0 $0
Employment History 0 $0 $0 $0 $0 $0
Unverifiable Information 0 $0 $0 $0 $0 $0

Our comprehensive HMDA mortgage statistics provide invaluable insights into Houston Police Federal Credit Union's 2016 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 Houston Police Federal 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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