Oxford Bank & Trust Mortgage Lending & HMDA Data, 2018
In 2018, Oxford Bank & Trust of Oak Brook, IL reported 1,999 mortgage applications totaling $107.2 million, up 12% from 2017. The average application was for $53,609, and applicants reported an average income of $51,030. 27% of its applications resulted in an originated loan and 62% were denied. Its largest markets were Warren-Troy-Farmington Hills, MI (631), Grand Rapids-Wyoming, MI (222) and Detroit-Dearborn-Livonia, MI (138) (applications in parentheses).
| Mortgage Company & Address | Oxford Bank & Trust 1111 W. 22nd Street #800 Oak Brook, IL 60523 Tel #: available with data download |
| Federal Regulator | * available with data download |
| Years | 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 |
| Total Number of Mortgage Applications | 1,999 |
| Total Mortgage Loan Application Amount | $107,165,000 |
| Average Mortgage Loan Application Amount | $53,609 |
| Highest Mortgage Loan Application Amount | $1,515,000 |
| Average Applicant Income | $51,030 |
| Highest Applicant Income | $220,000 |
About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Oxford Bank & Trust filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Detail Totals for Oxford Bank & Trust 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 | 1,959 | $96,035,000 | $49,000 | $1,515,000 | $51,000 | $220,000 |
| Refinancing | 30 | $8,490,000 | $283,000 | $1,255,000 | $53,000 | $106,000 |
| Cash-out Refinancing | 9 | $2,505,000 | $278,000 | $585,000 | $0 | $0 |
| Home Improvement | 1 | $135,000 | $135,000 | $135,000 | $0 | $0 |
| 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 | 1,629 | $69,245,000 | $42,000 | $435,000 | $51,000 | $220,000 |
| Hispanic | 143 | $5,535,000 | $38,000 | $95,000 | $48,000 | $125,000 |
| Black or African American | 137 | $5,245,000 | $38,000 | $85,000 | $48,000 | $117,000 |
| Not applicable | 56 | $25,570,000 | $456,000 | $1,515,000 | $0 | $0 |
| Asian | 17 | $765,000 | $45,000 | $95,000 | $45,000 | $91,000 |
| American Indian or Alaskan Native | 13 | $605,000 | $46,000 | $95,000 | $51,000 | $102,000 |
| Native Hawaiian or Other Pacific Islander | 3 | $155,000 | $51,000 | $65,000 | $54,000 | $84,000 |
| Not Provided | 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) | 1,999 | $107,165,000 | $53,000 | $1,515,000 | $51,000 | $220,000 |
| 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 |
|---|---|---|---|---|---|---|
| Application Denied By Financial Institution | 1,240 | $49,970,000 | $40,000 | $175,000 | $48,000 | $217,000 |
| Loan Originated | 535 | $48,365,000 | $90,000 | $1,515,000 | $57,000 | $177,000 |
| Application Approved But Not Accepted | 192 | $7,630,000 | $39,000 | $125,000 | $56,000 | $220,000 |
| Application Withdrawn By Applicant | 21 | $775,000 | $36,000 | $75,000 | $44,000 | $86,000 |
| File Closed For Incompleteness | 11 | $425,000 | $38,000 | $85,000 | $41,000 | $108,000 |
| 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 |
|---|---|---|---|---|---|---|
| Not applicable | 759 | $57,195,000 | $75,000 | $1,515,000 | $56,000 | $220,000 |
| Credit History | 744 | $29,410,000 | $39,000 | $175,000 | $52,000 | $217,000 |
| Debt-To-Income Ratio | 404 | $17,040,000 | $42,000 | $115,000 | $39,000 | $163,000 |
| Employment History | 48 | $1,640,000 | $34,000 | $95,000 | $39,000 | $71,000 |
| Unverifiable Information | 28 | $1,260,000 | $45,000 | $105,000 | $56,000 | $117,000 |
| Other | 16 | $620,000 | $38,000 | $85,000 | $69,000 | $104,000 |
| 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 Oxford Bank & Trust'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 Oxford Bank & Trust'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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