Intouch Credit Union Mortgage Lending & HMDA Data, 2016

In 2016, Intouch Credit Union of Plano, TX reported 558 mortgage applications totaling $97.0 million, up 251% from 2015. The average application was for $173,792, and applicants reported an average income of $113,795. 35% of its applications resulted in an originated loan and 26% were denied. Its largest markets were Dallas-Plano-Irving, TX (292), Las Vegas-Henderson-Paradise, NV (75) and Warren-Troy-Farmington Hills, MI (36) (applications in parentheses).

Mortgage Company & Address Intouch Credit Union
P O Box 250169
Plano, TX 75025
Tel #: available with data download
Federal Regulator * available with data download
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Total Number of Mortgage Applications 558
Total Mortgage Loan Application Amount $96,976,000
Average Mortgage Loan Application Amount $173,792
Highest Mortgage Loan Application Amount $1,100,000
Average Applicant Income $113,795
Highest Applicant Income $762,000

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Act (HMDA) records Intouch Credit Union filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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

County Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loans Applications Average Mortgage Loan Application Amount Average Applicant Income
Collin, Texas 178 $ 31,536,000 $ 177,168 $ 131,000
Clark, Nevada 75 $ 13,407,000 $ 178,760 $ 95,000
Denton, Texas 73 $ 12,532,000 $ 171,671 $ 108,000
Dallas, Texas 35 $ 5,651,000 $ 161,457 $ 120,000
Oakland, Michigan 25 $ 2,932,000 $ 117,280 $ 75,000
Tarrant, Texas 19 $ 3,060,000 $ 161,052 $ 134,000
Macomb, Michigan 11 $ 1,134,000 $ 103,090 $ 110,000
Shelby, Tennessee 8 $ 1,372,000 $ 171,500 $ 88,000
Grayson, Texas 7 $ 641,000 $ 91,571 $ 135,000
Loudoun, Virginia 7 $ 3,171,000 $ 453,000 $ 117,000
Fairfax, Virginia 5 $ 761,000 $ 152,200 $ 208,000
Wayne, Michigan 4 $ 304,000 $ 76,000 $ 75,000
Gwinnett, Georgia 3 $ 528,000 $ 176,000 $ 89,000
Montgomery, Maryland 3 $ 569,000 $ 189,666 $ 116,000
DeSoto, Mississippi 3 $ 632,000 $ 210,666 $ 91,000
Harris, Texas 3 $ 483,000 $ 161,000 $ 145,000
Kaufman, Texas 3 $ 413,000 $ 137,666 $ 121,000
Travis, Texas 3 $ 373,000 $ 124,333 $ 98,000
Prince William, Virginia 3 $ 894,000 $ 298,000 $ 134,000
Shasta, California 2 $ 410,000 $ 205,000 $ 36,000
Miami-Dade, Florida 2 $ 522,000 $ 261,000 $ 153,000
Mecklenburg, North Carolina 2 $ 386,000 $ 193,000 $ 113,000
Cuyahoga, Ohio 2 $ 213,000 $ 106,500 $ 67,000
Charleston, South Carolina 2 $ 610,000 $ 305,000 $ 101,000
Horry, South Carolina 2 $ 241,000 $ 120,500 $ 139,000
Brazos, Texas 2 $ 216,000 $ 108,000 $ 87,000
Hunt, Texas 2 $ 262,000 $ 131,000 $ 82,000
Lubbock, Texas 2 $ 191,000 $ 95,500 $ 75,000
Midland, Texas 2 $ 408,000 $ 204,000 $ 152,000
Mitchell, Texas 2 $ 80,000 $ 40,000 $ 86,000
Montgomery, Texas 2 $ 195,000 $ 97,500 $ 138,000
Summit, Utah 2 $ 800,000 $ 400,000 $ 249,000
Fauquier, Virginia 2 $ 574,000 $ 287,000 $ 116,000
Montgomery, Alabama 1 $ 177,000 $ 177,000 $ 162,000
Crittenden, Arkansas 1 $ 72,000 $ 72,000 $ 24,000
Los Angeles, California 1 $ 835,000 $ 835,000 $ 0
Nevada, California 1 $ 125,000 $ 125,000 $ 92,000
Placer, California 1 $ 530,000 $ 530,000 $ 124,000
Riverside, California 1 $ 310,000 $ 310,000 $ 170,000
Sacramento, California 1 $ 551,000 $ 551,000 $ 104,000
San Bernardino, California 1 $ 60,000 $ 60,000 $ 110,000
Archuleta, Colorado 1 $ 300,000 $ 300,000 $ 67,000
Grand, Colorado 1 $ 240,000 $ 240,000 $ 145,000
Hartford, Connecticut 1 $ 88,000 $ 88,000 $ 72,000
Broward, Florida 1 $ 50,000 $ 50,000 $ 63,000
Lee, Florida 1 $ 136,000 $ 136,000 $ 236,000
Cherokee, Georgia 1 $ 256,000 $ 256,000 $ 100,000
DeKalb, Georgia 1 $ 64,000 $ 64,000 $ 68,000
Fulton, Georgia 1 $ 104,000 $ 104,000 $ 191,000
Newton, Georgia 1 $ 80,000 $ 80,000 $ 32,000
Johnson, Kansas 1 $ 10,000 $ 10,000 $ 48,000
Orleans, Louisiana 1 $ 30,000 $ 30,000 $ 66,000
Anne Arundel, Maryland 1 $ 316,000 $ 316,000 $ 148,000
Prince George's, Maryland 1 $ 220,000 $ 220,000 $ 77,000
Talbot, Maryland 1 $ 22,000 $ 22,000 $ 81,000
Genesee, Michigan 1 $ 43,000 $ 43,000 $ 60,000
Saginaw, Michigan 1 $ 91,000 $ 91,000 $ 63,000
Dakota, Minnesota 1 $ 232,000 $ 232,000 $ 108,000
Coahoma, Mississippi 1 $ 42,000 $ 42,000 $ 38,000
Marshall, Mississippi 1 $ 99,000 $ 99,000 $ 39,000
Tate, Mississippi 1 $ 50,000 $ 50,000 $ 63,000
Buchanan, Missouri 1 $ 25,000 $ 25,000 $ 55,000
Jefferson, Missouri 1 $ 112,000 $ 112,000 $ 69,000
White Pine, Nevada 1 $ 45,000 $ 45,000 $ 45,000
Bergen, New Jersey 1 $ 330,000 $ 330,000 $ 162,000
Essex, New Jersey 1 $ 102,000 $ 102,000 $ 83,000
Middlesex, New Jersey 1 $ 270,000 $ 270,000 $ 129,000
Somerset, New Jersey 1 $ 110,000 $ 110,000 $ 169,000
Sandoval, New Mexico 1 $ 19,000 $ 19,000 $ 87,000
Rockland, New York 1 $ 258,000 $ 258,000 $ 165,000
Suffolk, New York 1 $ 75,000 $ 75,000 $ 266,000
Westchester, New York 1 $ 600,000 $ 600,000 $ 201,000
Burke, North Carolina 1 $ 155,000 $ 155,000 $ 66,000
Union, North Carolina 1 $ 275,000 $ 275,000 $ 199,000
Montgomery, Ohio 1 $ 310,000 $ 310,000 $ 135,000
Union, Ohio 1 $ 368,000 $ 368,000 $ 93,000
Okfuskee, Oklahoma 1 $ 126,000 $ 126,000 $ 48,000
Oklahoma, Oklahoma 1 $ 45,000 $ 45,000 $ 60,000
Bucks, Pennsylvania 1 $ 41,000 $ 41,000 $ 65,000
Delaware, Pennsylvania 1 $ 205,000 $ 205,000 $ 108,000
Philadelphia, Pennsylvania 1 $ 200,000 $ 200,000 $ 72,000
York, Pennsylvania 1 $ 97,000 $ 97,000 $ 118,000
Fannin, Texas 1 $ 38,000 $ 38,000 $ 75,000
Lamar, Texas 1 $ 188,000 $ 188,000 $ 64,000
Parker, Texas 1 $ 264,000 $ 264,000 $ 90,000
Rockwall, Texas 1 $ 139,000 $ 139,000 $ 75,000
Van Zandt, Texas 1 $ 127,000 $ 127,000 $ 57,000
Williamson, Texas 1 $ 30,000 $ 30,000 $ 142,000
Wood, Texas 1 $ 920,000 $ 920,000 $ 0
Washington, Utah 1 $ 50,000 $ 50,000 $ 74,000
Franklin, Virginia 1 $ 210,000 $ 210,000 $ 244,000
Madison, Virginia 1 $ 152,000 $ 152,000 $ 65,000
Lewis, Washington 1 $ 50,000 $ 50,000 $ 14,000
Berkeley, West Virginia 1 $ 33,000 $ 33,000 $ 50,000
Polk, Wisconsin 1 $ 373,000 $ 373,000 $ 170,000

Mortgage Loan Application Detail Totals for Intouch 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 360 $69,634,000 $193,000 $1,100,000 $112,000 $762,000
Home Purchase 102 $23,273,000 $228,000 $626,000 $135,000 $431,000
Home Improvement 96 $4,069,000 $42,000 $233,000 $98,000 $334,000

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 337 $59,785,000 $177,000 $1,100,000 $124,000 $762,000
Not Provided 83 $12,517,000 $150,000 $565,000 $101,000 $393,000
Hispanic 47 $6,370,000 $135,000 $417,000 $92,000 $320,000
Black or African American 43 $7,484,000 $174,000 $665,000 $101,000 $245,000
Asian 40 $8,308,000 $207,000 $626,000 $104,000 $266,000
Native Hawaiin or Other Pacific Islander 4 $1,291,000 $322,000 $835,000 $42,000 $70,000
American Indian or Alaskan Native 3 $301,000 $100,000 $125,000 $91,000 $162,000
Not applicable 1 $920,000 $920,000 $920,000 $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) 551 $95,219,000 $172,000 $1,100,000 $114,000 $762,000
VA-guaranteed (Veterans Administration) 7 $1,757,000 $251,000 $358,000 $141,000 $280,000
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

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 195 $28,033,000 $143,000 $920,000 $113,000 $453,000
Application Withdrawn By Applicant 176 $37,595,000 $213,000 $1,100,000 $129,000 $762,000
Application Denied By Financial Institution 145 $26,155,000 $180,000 $1,035,000 $100,000 $612,000
Application Approved But Not Accepted 24 $1,600,000 $66,000 $384,000 $92,000 $230,000
File Closed For Incompleteness 18 $3,593,000 $199,000 $417,000 $113,000 $240,000
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 64 $14,709,000 $229,000 $885,000 $113,000 $612,000
Debt-To-Income Ratio 35 $5,694,000 $162,000 $415,000 $71,000 $221,000
Collateral 18 $1,759,000 $97,000 $310,000 $101,000 $277,000
Other 10 $1,827,000 $182,000 $304,000 $102,000 $216,000
Unverifiable Information 3 $391,000 $130,000 $177,000 $71,000 $162,000
Employment History 2 $200,000 $100,000 $100,000 $31,000 $31,000
Insufficient Cash (Downpayment, Closing Cost) 1 $1,035,000 $1,035,000 $1,035,000 $378,000 $378,000
Credit Application Incomplete 1 $81,000 $81,000 $81,000 $0 $0
Mortgage Insurance Denied 0 $0 $0 $0 $0 $0

Our comprehensive HMDA mortgage statistics provide invaluable insights into Intouch 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 Intouch 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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