United States Senate Federal Credit Union
HMDA Loan Application Totals
and Mortgage Lending Details
for 2013

United States Senate Federal Credit Union 2013 HMDA loan application data provides key insights into its mortgage lending trends, applicant demographics, and loan distribution.
The Home Mortgage Disclosure Act (HMDA) requires lenders to report detailed loan application data, offering transparency into lending patterns.
The data reveals trends in average loan size, applicant income, and mortgage approval rates, helping consumers and analysts understand lending accessibility.

Below, explore a breakdown of loan applications by county, metro area, loan purpose, applicant race, loan type, and more.
Whether you're an industry professional, homebuyer, or researcher, this information provides valuable insights into mortgage lending activity.
Scroll down to view the full dataset and analyze lending trends in greater detail.

Mortgage Company & Address United States Senate Federal Credit Union
2750 Eisenhower Avenue
Alexandria, VA 22314
Tel #: available with data download
Federal Regulator * available with data download
Years 2023  2022  2021  2020  2019  2018  2017  2016  2015  2014  2013  
Total Number of Mortgage Applications 134
Total Mortgage Loan Application Amount $3,903,000
Average Mortgage Loan Application Amount $29,000
Highest Mortgage Loan Application Amount $150,000
Average Applicant Income $122,000
Highest Applicant Income $342,000

Explore comprehensive HMDA mortgage statistics and lending trends for 2013 with United States Senate Federal Credit Union. Below, you'll find key insights into this lender's mortgage activity, including total loan applications, average mortgage amounts, highest application values, and income levels of top applicants. Whether you're analyzing United States Senate Federal Credit Union's lending patterns or researching mortgage trends, these statistics provide valuable transparency into their loan activity.

Our HMDA dataset for 2013 breaks down United States Senate Federal Credit Union's mortgage applications by loan purpose, applicant race, loan type, approval outcomes, and reasons for denial. These insights help homebuyers, financial analysts, and industry professionals assess borrower demographics and lending practices, offering a clearer view of how United States Senate Federal Credit Union serves its applicants.

Each category highlights the total number of mortgage applications processed by United States Senate Federal Credit Union, total loan amounts, average mortgage values, and the highest mortgage amounts recorded. You can also review borrower income trends, including the average and highest reported applicant incomes for loans issued by this lender. Whether you're evaluating lender performance, comparing mortgage approval rates, or exploring loan options, this HMDA-backed data offers a crucial look at United States Senate Federal Credit Union's mortgage activity for 2013.

Mortgage Loan Application Totals for United States Senate Federal Credit Union by Metropolitan Area in 2013

Metro Area Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loan Applications Average Mortgage Loan Application Amount Average Applicant Income
ATLANTA-SANDY SPRINGS-MARIETTA, GA 9 $ 265,000 $ 29,000 $ 92,000
RIVERSIDE-SAN BERNARDINO-ONTARIO, CA 9 $ 252,000 $ 28,000 $ 129,000
PHOENIX-MESA-GLENDALE, AZ 8 $ 233,000 $ 29,000 $ 107,000
WASHINGTON-ARLINGTON-ALEXANDRIA, DC-VA-MD-WV 8 $ 307,000 $ 64,666 $ 192,666
LAS VEGAS-PARADISE, NV 7 $ 184,000 $ 26,000 $ 96,000
CHICAGO-JOLIET-NAPERVILLE, IL 5 $ 147,000 $ 29,000 $ 121,000
ST. LOUIS, MO-IL 4 $ 110,000 $ 27,000 $ 138,000
STOCKTON, CA 4 $ 113,000 $ 28,000 $ 93,000
BAKERSFIELD-DELANO, CA 3 $ 90,000 $ 30,000 $ 189,000
BALTIMORE-TOWSON, MD 3 $ 90,000 $ 30,000 $ 126,000
CHARLOTTE-GASTONIA-ROCK HILL, NC-SC 3 $ 87,000 $ 29,000 $ 135,000
FRESNO, CA 3 $ 90,000 $ 30,000 $ 94,000
RALEIGH-CARY, NC 3 $ 85,000 $ 28,000 $ 148,000
TAMPA-ST. PETERSBURG-CLEARWATER, FL 3 $ 82,000 $ 27,000 $ 74,000
VISALIA-PORTERVILLE, CA 3 $ 90,000 $ 30,000 $ 106,000
COLUMBUS, OH 2 $ 60,000 $ 30,000 $ 211,000
DELTONA-DAYTONA BEACH-ORMOND BEACH, FL 2 $ 52,000 $ 26,000 $ 63,000
MEMPHIS, TN-MS-AR 2 $ 56,000 $ 28,000 $ 84,000
MODESTO, CA 2 $ 60,000 $ 30,000 $ 122,000
SACRAMENTO--ARDEN-ARCADE--ROSEVILLE, CA 2 $ 48,000 $ 24,000 $ 82,000
WARNER ROBINS, GA 2 $ 60,000 $ 30,000 $ 78,000
WEST PALM BEACH-BOCA RATON-BOYNTON BEACH, FL 2 $ 60,000 $ 30,000 $ 186,000
ALBANY, GA 1 $ 25,000 $ 25,000 $ 80,000
ANDERSON, SC 1 $ 18,000 $ 18,000 $ 120,000
AUGUSTA-RICHMOND COUNTY, GA-SC 1 $ 30,000 $ 30,000 $ 62,000
BARNSTABLE TOWN, MA 1 $ 30,000 $ 30,000 $ 130,000
BATON ROUGE, LA 1 $ 30,000 $ 30,000 $ 102,000
BETHESDA-ROCKVILLE-FREDERICK, MD 1 $ 30,000 $ 30,000 $ 198,000
CAMDEN, NJ 1 $ 50,000 $ 50,000 $ 309,000
CANTON-MASSILLON, OH 1 $ 30,000 $ 30,000 $ 55,000
COLUMBIA, SC 1 $ 28,000 $ 28,000 $ 109,000
COLUMBUS, GA-AL 1 $ 30,000 $ 30,000 $ 118,000
DURHAM-CHAPEL HILL, NC 1 $ 30,000 $ 30,000 $ 191,000
ELIZABETHTOWN, KY 1 $ 30,000 $ 30,000 $ 107,000
GRAND RAPIDS-WYOMING, MI 1 $ 30,000 $ 30,000 $ 188,000
HINESVILLE-FORT STEWART, GA 1 $ 30,000 $ 30,000 $ 98,000
JACKSON, MS 1 $ 30,000 $ 30,000 $ 127,000
KANSAS CITY, MO-KS 1 $ 15,000 $ 15,000 $ 73,000
LAFAYETTE, LA 1 $ 30,000 $ 30,000 $ 123,000
LAKE HAVASU CITY-KINGMAN, AZ 1 $ 30,000 $ 30,000 $ 264,000
LITTLE ROCK-NORTH LITTLE ROCK-CONWAY, AR 1 $ 30,000 $ 30,000 $ 160,000
MIAMI-MIAMI BEACH-KENDALL, FL 1 $ 25,000 $ 25,000 $ 161,000
MINNEAPOLIS-ST. PAUL-BLOOMINGTON, MN-WI 1 $ 16,000 $ 16,000 $ 97,000
MONTGOMERY, AL 1 $ 30,000 $ 30,000 $ 108,000
NAPLES-MARCO ISLAND, FL 1 $ 30,000 $ 30,000 $ 192,000
NASHVILLE-DAVIDSON--MURFREESBORO--FRANKLIN, TN 1 $ 30,000 $ 30,000 $ 54,000
NASSAU-SUFFOLK, NY 1 $ 23,000 $ 23,000 $ 180,000
NEW ORLEANS-METAIRIE-KENNER, LA 1 $ 30,000 $ 30,000 $ 74,000
NEW YORK-WHITE PLAINS-WAYNE, NY-NJ 1 $ 30,000 $ 30,000 $ 324,000
NORTH PORT-BRADENTON-SARASOTA, FL 1 $ 30,000 $ 30,000 $ 100,000
OKLAHOMA CITY, OK 1 $ 30,000 $ 30,000 $ 135,000
ORLANDO-KISSIMMEE-SANFORD, FL 1 $ 23,000 $ 23,000 $ 96,000
PASCAGOULA, MS 1 $ 30,000 $ 30,000 $ 183,000
PITTSBURGH, PA 1 $ 30,000 $ 30,000 $ 165,000
REDDING, CA 1 $ 28,000 $ 28,000 $ 72,000
ROCKFORD, IL 1 $ 30,000 $ 30,000 $ 121,000
SALISBURY, MD 1 $ 21,000 $ 21,000 $ 84,000
SHREVEPORT-BOSSIER CITY, LA 1 $ 30,000 $ 30,000 $ 58,000
SYRACUSE, NY 1 $ 24,000 $ 24,000 $ 124,000
VALDOSTA, GA 1 $ 30,000 $ 30,000 $ 149,000
VALLEJO-FAIRFIELD, CA 1 $ 30,000 $ 30,000 $ 105,000
VIRGINIA BEACH-NORFOLK-NEWPORT NEWS, VA-NC 1 $ 30,000 $ 30,000 $ 141,000

Mortgage Loan Application Detail Totals for United States Senate Federal Credit Union in 2013

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 Improvement 134 $3,903,000 $29,000 $150,000 $122,000 $342,000
Home Purchase 0 $0 $0 $0 $0 $0
Refinancing 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 84 $2,511,000 $29,000 $150,000 $124,000 $342,000
Not Provided 26 $712,000 $27,000 $30,000 $121,000 $198,000
Hispanic 11 $300,000 $27,000 $30,000 $103,000 $183,000
Black or African American 10 $290,000 $29,000 $30,000 $126,000 $290,000
Native Hawaiian or Other Pacific Islander 2 $60,000 $30,000 $30,000 $94,000 $105,000
Asian 1 $30,000 $30,000 $30,000 $238,000 $238,000
American Indian or Alaskan Native 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) 134 $3,903,000 $29,000 $150,000 $122,000 $342,000
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 95 $2,801,000 $29,000 $150,000 $128,000 $342,000
Application Denied By Financial Institution 39 $1,102,000 $28,000 $30,000 $107,000 $264,000
Application Withdrawn By Applicant 0 $0 $0 $0 $0 $0
File Closed For Incompleteness 0 $0 $0 $0 $0 $0
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
Credit History 21 $582,000 $27,000 $30,000 $116,000 $264,000
Debt-To-Income Ratio 16 $460,000 $28,000 $30,000 $93,000 $183,000
Employment History 1 $30,000 $30,000 $30,000 $74,000 $74,000
Other 1 $30,000 $30,000 $30,000 $187,000 $187,000
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 United States Senate Federal Credit Union's 2013 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 United States Senate 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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