US Bank, N.A. Mortgage Lending & HMDA Data, 2018

In 2018, US Bank, N.A. of Cincinnati, OH reported 369,511 mortgage applications totaling $73.7 billion, up 21% from 2017. The average application was for $199,471, and applicants reported an average income of $136,791. 36% of its applications resulted in an originated loan and 26% were denied. Its largest markets were Minneapolis-St. Paul-Bloomington, MN-WI (23,047), Chicago-Naperville-Arlington Heights, IL (15,963) and Phoenix-Mesa-Scottsdale, AZ (14,333) (applications in parentheses).

Mortgage Company & Address US Bank, N.A.
425 Walnut Street
Cincinnati, OH 45202
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  
Total Number of Mortgage Applications 369,511
Total Mortgage Loan Application Amount $73,707,020,000
Average Mortgage Loan Application Amount $199,471
Highest Mortgage Loan Application Amount $66,005,000
Average Applicant Income $136,791
Highest Applicant Income $9,943,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records US Bank, N.A. filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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.

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Mortgage Loan Application Detail Totals for US Bank, N.A. 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 144,302 $38,171,245,000 $264,000 $32,005,000 $155,000 $9,195,000
Refinancing 75,620 $15,251,400,000 $201,000 $55,005,000 $130,000 $9,872,000
Other Purpose 61,527 $6,429,435,000 $104,000 $9,005,000 $117,000 $9,943,000
Home Improvement 47,930 $4,801,400,000 $100,000 $66,005,000 $125,000 $9,000,000
Cash-out Refinancing 25,894 $7,260,870,000 $280,000 $8,185,000 $124,000 $8,031,000
Not Applicable 14,238 $1,792,670,000 $125,000 $925,000 $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 178,289 $33,416,315,000 $187,000 $18,005,000 $131,000 $9,872,000
Not applicable 106,974 $22,400,655,000 $209,000 $66,005,000 $0 $0
Not Provided 30,195 $6,666,735,000 $220,000 $16,245,000 $156,000 $7,672,000
Hispanic 21,641 $3,099,925,000 $143,000 $4,125,000 $94,000 $6,488,000
Asian 16,883 $5,466,065,000 $323,000 $6,085,000 $161,000 $9,195,000
Black or African American 10,674 $1,344,100,000 $125,000 $4,945,000 $94,000 $9,943,000
American Indian or Alaskan Native 1,275 $214,025,000 $167,000 $2,005,000 $111,000 $3,000,000
Native Hawaiian or Other Pacific Islander 541 $85,925,000 $158,000 $975,000 $116,000 $4,000,000

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) 312,144 $63,775,915,000 $204,000 $66,005,000 $134,000 $9,943,000
FHA-insured (Federal Housing Administration) 44,924 $7,264,850,000 $161,000 $885,000 $68,000 $690,000
VA-guaranteed (Veterans Administration) 8,821 $2,185,545,000 $247,000 $1,145,000 $84,000 $780,000
FSA/RHS (Farm Service Agency or Rural Housing Service) 3,622 $480,710,000 $132,000 $455,000 $46,000 $276,000

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 134,156 $30,379,925,000 $226,000 $66,005,000 $145,000 $9,872,000
Loan Purchased By The Institution 105,756 $21,314,190,000 $201,000 $1,205,000 $0 $0
Application Denied By Financial Institution 96,171 $14,771,525,000 $153,000 $16,245,000 $108,000 $9,943,000
Application Withdrawn By Applicant 18,691 $4,707,265,000 $251,000 $14,005,000 $149,000 $8,500,000
File Closed For Incompleteness 11,230 $1,859,430,000 $165,000 $16,005,000 $144,000 $9,830,000
Application Approved But Not Accepted 3,507 $674,685,000 $192,000 $6,175,000 $141,000 $5,726,000
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 273,340 $58,935,495,000 $215,000 $66,005,000 $145,000 $9,872,000
Credit History 33,071 $3,275,195,000 $99,000 $6,085,000 $111,000 $9,943,000
Debt-To-Income Ratio 26,240 $5,138,060,000 $195,000 $16,245,000 $75,000 $4,004,000
Collateral 16,205 $2,753,625,000 $169,000 $9,005,000 $143,000 $7,874,000
Other 13,797 $1,809,145,000 $131,000 $4,995,000 $103,000 $8,213,000
Unverifiable Information 3,415 $881,715,000 $258,000 $8,005,000 $168,000 $5,604,000
Credit Application Incomplete 1,628 $344,080,000 $211,000 $7,005,000 $106,000 $7,000,000
Insufficient Cash (Downpayment, Closing Cost) 1,536 $511,440,000 $332,000 $4,365,000 $148,000 $1,995,000
Employment History 272 $56,410,000 $207,000 $1,165,000 $78,000 $690,000
Mortgage Insurance Denied 7 $1,855,000 $265,000 $945,000 $131,000 $475,000

Our comprehensive HMDA mortgage statistics provide invaluable insights into US Bank, N.A.'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 US Bank, N.A.'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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