Star USA Federal Credit Union Mortgage Lending & HMDA Data, 2018

In 2018, Star USA Federal Credit Union of Charleston, WV reported 267 mortgage applications totaling $18.7 million, up 172% from 2017. The average application was for $69,981, and applicants reported an average income of $68,786. 51% of its applications resulted in an originated loan and 11% were denied. Its largest markets were Huntington-Ashland, WV-KY-OH (13), Lancaster, PA (12) and Charleston, WV (10) (applications in parentheses).

Mortgage Company & Address Star USA Federal Credit Union
One Cantley Drive
Charleston, WV 25314
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 267
Total Mortgage Loan Application Amount $18,685,000
Average Mortgage Loan Application Amount $69,981
Highest Mortgage Loan Application Amount $655,000
Average Applicant Income $68,786
Highest Applicant Income $464,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Star USA Federal Credit Union filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Star USA Federal Credit Union 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
Lancaster, Pennsylvania 12 $ 660,000 $ 55,000 $ 58,000
Kanawha, West Virginia 9 $ 1,995,000 $ 221,666 $ 168,000
Oakland, Michigan 6 $ 270,000 $ 45,000 $ 71,000
Berks, Pennsylvania 5 $ 575,000 $ 115,000 $ 74,000
York, Pennsylvania 5 $ 275,000 $ 55,000 $ 72,000
Putnam, West Virginia 5 $ 455,000 $ 91,000 $ 66,000
Kent, Michigan 4 $ 210,000 $ 52,500 $ 64,000
Bucks, Pennsylvania 4 $ 370,000 $ 92,500 $ 67,000
Butler, Pennsylvania 4 $ 230,000 $ 57,500 $ 70,000
Dauphin, Pennsylvania 4 $ 190,000 $ 47,500 $ 45,000
Raleigh, West Virginia 4 $ 560,000 $ 140,000 $ 102,000
Wayne, West Virginia 4 $ 470,000 $ 117,500 $ 81,000
Montrose, Colorado 3 $ 295,000 $ 98,333 $ 64,000
Anne Arundel, Maryland 3 $ 185,000 $ 61,666 $ 107,000
Eaton, Michigan 3 $ 85,000 $ 28,333 $ 36,000
Washtenaw, Michigan 3 $ 145,000 $ 48,333 $ 58,000
Wright, Minnesota 3 $ 135,000 $ 45,000 $ 73,000
Flathead, Montana 3 $ 215,000 $ 71,666 $ 50,000
Adams, Pennsylvania 3 $ 205,000 $ 68,333 $ 47,000
Cumberland, Pennsylvania 3 $ 125,000 $ 41,666 $ 53,000
Lehigh, Pennsylvania 3 $ 225,000 $ 75,000 $ 43,000
Westmoreland, Pennsylvania 3 $ 95,000 $ 31,666 $ 42,000
Augusta, Virginia 3 $ 125,000 $ 41,666 $ 32,000
Jackson, West Virginia 3 $ 325,000 $ 108,333 $ 71,000
El Paso, Colorado 2 $ 110,000 $ 55,000 $ 34,000
Larimer, Colorado 2 $ 130,000 $ 65,000 $ 59,000
Sussex, Delaware 2 $ 80,000 $ 40,000 $ 90,000
Pinellas, Florida 2 $ 220,000 $ 110,000 $ 71,000
Gwinnett, Georgia 2 $ 70,000 $ 35,000 $ 59,000
Ada, Idaho 2 $ 230,000 $ 115,000 $ 88,000
Kootenai, Idaho 2 $ 70,000 $ 35,000 $ 40,000
Elkhart, Indiana 2 $ 90,000 $ 45,000 $ 42,000
Pottawattamie, Iowa 2 $ 90,000 $ 45,000 $ 73,000
Baltimore, Maryland 2 $ 100,000 $ 50,000 $ 70,000
Howard, Maryland 2 $ 110,000 $ 55,000 $ 99,000
Washington, Maryland 2 $ 100,000 $ 50,000 $ 49,000
Genesee, Michigan 2 $ 100,000 $ 50,000 $ 73,000
Macomb, Michigan 2 $ 80,000 $ 40,000 $ 64,000
Ottawa, Michigan 2 $ 130,000 $ 65,000 $ 103,000
Dakota, Minnesota 2 $ 170,000 $ 85,000 $ 79,000
Olmsted, Minnesota 2 $ 160,000 $ 80,000 $ 191,000
Ramsey, Minnesota 2 $ 90,000 $ 45,000 $ 69,000
Franklin, New York 2 $ 170,000 $ 85,000 $ 62,000
Saratoga, New York 2 $ 140,000 $ 70,000 $ 128,000
Butler, Ohio 2 $ 60,000 $ 30,000 $ 36,000
Columbiana, Ohio 2 $ 140,000 $ 70,000 $ 59,000
Lawrence, Ohio 2 $ 130,000 $ 65,000 $ 26,000
Allegheny, Pennsylvania 2 $ 160,000 $ 80,000 $ 69,000
Carbon, Pennsylvania 2 $ 90,000 $ 45,000 $ 75,000
Chester, Pennsylvania 2 $ 160,000 $ 80,000 $ 112,000
Erie, Pennsylvania 2 $ 130,000 $ 65,000 $ 74,000
Mercer, Pennsylvania 2 $ 80,000 $ 40,000 $ 45,000
Berkeley, West Virginia 2 $ 160,000 $ 80,000 $ 48,000
Monongalia, West Virginia 2 $ 120,000 $ 60,000 $ 46,000
Summers, West Virginia 2 $ 210,000 $ 105,000 $ 98,000
Adams, Colorado 1 $ 55,000 $ 55,000 $ 49,000
Garfield, Colorado 1 $ 35,000 $ 35,000 $ 37,000
Weld, Colorado 1 $ 85,000 $ 85,000 $ 35,000
Lee, Florida 1 $ 35,000 $ 35,000 $ 88,000
Hall, Georgia 1 $ 85,000 $ 85,000 $ 71,000
Adams, Illinois 1 $ 25,000 $ 25,000 $ 28,000
Champaign, Illinois 1 $ 45,000 $ 45,000 $ 44,000
McLean, Illinois 1 $ 45,000 $ 45,000 $ 103,000
St. Clair, Illinois 1 $ 35,000 $ 35,000 $ 78,000
Will, Illinois 1 $ 85,000 $ 85,000 $ 100,000
Winnebago, Illinois 1 $ 35,000 $ 35,000 $ 61,000
Hamilton, Indiana 1 $ 45,000 $ 45,000 $ 90,000
Wells, Indiana 1 $ 35,000 $ 35,000 $ 149,000
Delaware, Iowa 1 $ 55,000 $ 55,000 $ 33,000
Jasper, Iowa 1 $ 75,000 $ 75,000 $ 60,000
Mahaska, Iowa 1 $ 25,000 $ 25,000 $ 46,000
Polk, Iowa 1 $ 45,000 $ 45,000 $ 55,000
Story, Iowa 1 $ 35,000 $ 35,000 $ 39,000
Warren, Iowa 1 $ 35,000 $ 35,000 $ 30,000
Atchison, Kansas 1 $ 145,000 $ 145,000 $ 98,000
Sedgwick, Kansas 1 $ 45,000 $ 45,000 $ 44,000
Shawnee, Kansas 1 $ 135,000 $ 135,000 $ 111,000
Boyd, Kentucky 1 $ 95,000 $ 95,000 $ 47,000
Laurel, Kentucky 1 $ 45,000 $ 45,000 $ 60,000
Russell, Kentucky 1 $ 45,000 $ 45,000 $ 68,000
Garrett, Maryland 1 $ 35,000 $ 35,000 $ 158,000
Wicomico, Maryland 1 $ 35,000 $ 35,000 $ 75,000
Barry, Michigan 1 $ 65,000 $ 65,000 $ 66,000
Ionia, Michigan 1 $ 45,000 $ 45,000 $ 52,000
Jackson, Michigan 1 $ 95,000 $ 95,000 $ 67,000
Lenawee, Michigan 1 $ 25,000 $ 25,000 $ 35,000
Livingston, Michigan 1 $ 55,000 $ 55,000 $ 42,000
Monroe, Michigan 1 $ 35,000 $ 35,000 $ 47,000
Shiawassee, Michigan 1 $ 35,000 $ 35,000 $ 28,000
St. Clair, Michigan 1 $ 45,000 $ 45,000 $ 61,000
Anoka, Minnesota 1 $ 55,000 $ 55,000 $ 53,000
Blue Earth, Minnesota 1 $ 95,000 $ 95,000 $ 51,000
Otter Tail, Minnesota 1 $ 75,000 $ 75,000 $ 128,000
Howell, Missouri 1 $ 95,000 $ 95,000 $ 83,000
St. Francois, Missouri 1 $ 45,000 $ 45,000 $ 28,000
Lewis and Clark, Montana 1 $ 185,000 $ 185,000 $ 80,000
Yellowstone, Montana 1 $ 55,000 $ 55,000 $ 34,000
Adams, Nebraska 1 $ 45,000 $ 45,000 $ 69,000
Lincoln, Nebraska 1 $ 125,000 $ 125,000 $ 81,000
Sarpy, Nebraska 1 $ 65,000 $ 65,000 $ 42,000
Atlantic, New Jersey 1 $ 25,000 $ 25,000 $ 60,000
Burlington, New Jersey 1 $ 25,000 $ 25,000 $ 53,000
Gloucester, New Jersey 1 $ 55,000 $ 55,000 $ 52,000
Clinton, New York 1 $ 85,000 $ 85,000 $ 62,000
Columbia, New York 1 $ 75,000 $ 75,000 $ 52,000
Ontario, New York 1 $ 45,000 $ 45,000 $ 26,000
Rensselaer, New York 1 $ 95,000 $ 95,000 $ 25,000
Steuben, New York 1 $ 55,000 $ 55,000 $ 178,000
Sullivan, New York 1 $ 35,000 $ 35,000 $ 43,000
Warren, New York 1 $ 55,000 $ 55,000 $ 34,000
Washington, New York 1 $ 75,000 $ 75,000 $ 67,000
Wayne, New York 1 $ 45,000 $ 45,000 $ 104,000
Wyoming, New York 1 $ 15,000 $ 15,000 $ 24,000
Clark, Ohio 1 $ 25,000 $ 25,000 $ 71,000
Clinton, Ohio 1 $ 55,000 $ 55,000 $ 61,000
Fulton, Ohio 1 $ 55,000 $ 55,000 $ 54,000
Lucas, Ohio 1 $ 45,000 $ 45,000 $ 39,000
Muskingum, Ohio 1 $ 55,000 $ 55,000 $ 65,000
Richland, Ohio 1 $ 15,000 $ 15,000 $ 27,000
Trumbull, Ohio 1 $ 25,000 $ 25,000 $ 40,000
Wood, Ohio 1 $ 15,000 $ 15,000 $ 58,000
Franklin, Pennsylvania 1 $ 35,000 $ 35,000 $ 36,000
Montgomery, Pennsylvania 1 $ 65,000 $ 65,000 $ 36,000
Pike, Pennsylvania 1 $ 75,000 $ 75,000 $ 49,000
Schuylkill, Pennsylvania 1 $ 45,000 $ 45,000 $ 35,000
Sullivan, Pennsylvania 1 $ 95,000 $ 95,000 $ 220,000
Monroe, Tennessee 1 $ 165,000 $ 165,000 $ 167,000
Comal, Texas 1 $ 85,000 $ 85,000 $ 60,000
Travis, Texas 1 $ 85,000 $ 85,000 $ 83,000
Williamson, Texas 1 $ 65,000 $ 65,000 $ 128,000
Newport News, Virginia 1 $ 35,000 $ 35,000 $ 38,000
Pittsylvania, Virginia 1 $ 85,000 $ 85,000 $ 63,000
Barbour, West Virginia 1 $ 115,000 $ 115,000 $ 132,000
Boone, West Virginia 1 $ 185,000 $ 185,000 $ 94,000
Cabell, West Virginia 1 $ 65,000 $ 65,000 $ 75,000
Harrison, West Virginia 1 $ 35,000 $ 35,000 $ 82,000
Lewis, West Virginia 1 $ 75,000 $ 75,000 $ 50,000
Marion, West Virginia 1 $ 55,000 $ 55,000 $ 54,000
Mason, West Virginia 1 $ 205,000 $ 205,000 $ 55,000
Mercer, West Virginia 1 $ 65,000 $ 65,000 $ 28,000
Monroe, West Virginia 1 $ 25,000 $ 25,000 $ 32,000

Mortgage Loan Application Detail Totals for Star USA Federal Credit Union 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 249 $15,795,000 $63,000 $265,000 $65,000 $282,000
Refinancing 13 $2,215,000 $170,000 $655,000 $143,000 $464,000
Cash-out Refinancing 3 $435,000 $145,000 $185,000 $72,000 $94,000
Home Improvement 2 $240,000 $120,000 $135,000 $53,000 $82,000
Not Applicable 0 $0 $0 $0 $0 $0
Other Purpose 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 243 $17,045,000 $70,000 $655,000 $69,000 $464,000
Not Provided 11 $835,000 $75,000 $145,000 $62,000 $100,000
American Indian or Alaskan Native 4 $170,000 $42,000 $75,000 $69,000 $92,000
Hispanic 4 $130,000 $32,000 $45,000 $43,000 $74,000
Asian 3 $165,000 $55,000 $65,000 $62,000 $74,000
Black or African American 2 $340,000 $170,000 $265,000 $84,000 $123,000
Native Hawaiian 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) 267 $18,685,000 $69,000 $655,000 $69,000 $464,000
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 135 $10,205,000 $75,000 $655,000 $78,000 $464,000
Application Approved But Not Accepted 103 $6,885,000 $66,000 $235,000 $58,000 $220,000
Application Denied By Financial Institution 29 $1,595,000 $55,000 $95,000 $64,000 $240,000
Application Withdrawn By Applicant 0 $0 $0 $0 $0 $0
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
Not applicable 238 $17,090,000 $71,000 $655,000 $69,000 $464,000
Credit History 22 $1,190,000 $54,000 $85,000 $60,000 $149,000
Debt-To-Income Ratio 4 $210,000 $52,000 $85,000 $49,000 $67,000
Employment History 2 $150,000 $75,000 $95,000 $57,000 $66,000
Other 1 $45,000 $45,000 $45,000 $240,000 $240,000
Unverifiable Information 0 $0 $0 $0 $0 $0
Collateral 0 $0 $0 $0 $0 $0
Credit Application Incomplete 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 Star USA Federal Credit Union'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 Star USA 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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