In 2020, Oxford Bank & Trust of Oak Brook, IL reported 2,570 mortgage applications totaling $134.7 million, down 7% from 2019. The average application was for $52,396, and applicants reported an average income of $50,386. 19% of its applications resulted in an originated loan and 70% were denied. Its largest markets were Warren-Troy-Farmington Hills, MI (609), Grand Rapids-Wyoming, MI (262) and Detroit-Dearborn-Livonia, MI (187) (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 | 2,570 |
| Total Mortgage Loan Application Amount | $134,660,000 |
| Average Mortgage Loan Application Amount | $52,396 |
| Highest Mortgage Loan Application Amount | $2,105,000 |
| Average Applicant Income | $50,386 |
| Highest Applicant Income | $493,000 |
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Act (HMDA) records Oxford Bank & Trust filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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.
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 | 2,528 | $118,730,000 | $46,000 | $1,475,000 | $50,000 | $493,000 |
| Refinancing | 25 | $6,735,000 | $269,000 | $1,175,000 | $68,000 | $217,000 |
| Cash-out Refinancing | 16 | $8,690,000 | $543,000 | $2,105,000 | $84,000 | $108,000 |
| Other Purpose | 1 | $505,000 | $505,000 | $505,000 | $0 | $0 |
| Home Improvement | 0 | $0 | $0 | $0 | $0 | $0 |
| Not Applicable | 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 | 2,016 | $89,420,000 | $44,000 | $1,175,000 | $50,000 | $229,000 |
| Black or African American | 278 | $13,000,000 | $46,000 | $145,000 | $51,000 | $178,000 |
| Hispanic | 175 | $8,345,000 | $47,000 | $455,000 | $49,000 | $493,000 |
| Not applicable | 40 | $21,120,000 | $528,000 | $2,105,000 | $0 | $0 |
| American Indian or Alaskan Native | 29 | $1,135,000 | $39,000 | $105,000 | $49,000 | $90,000 |
| Asian | 28 | $1,440,000 | $51,000 | $225,000 | $50,000 | $128,000 |
| Not Provided | 3 | $175,000 | $58,000 | $95,000 | $86,000 | $124,000 |
| Native Hawaiian or Other Pacific Islander | 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) | 2,569 | $134,625,000 | $52,000 | $2,105,000 | $50,000 | $493,000 |
| VA-guaranteed (Veterans Administration) | 1 | $35,000 | $35,000 | $35,000 | $49,000 | $49,000 |
| 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 |
|---|---|---|---|---|---|---|
| Application Denied By Financial Institution | 1,789 | $78,295,000 | $43,000 | $225,000 | $48,000 | $229,000 |
| Loan Originated | 501 | $43,915,000 | $87,000 | $2,105,000 | $58,000 | $217,000 |
| Application Approved But Not Accepted | 253 | $11,095,000 | $43,000 | $505,000 | $57,000 | $493,000 |
| File Closed For Incompleteness | 22 | $1,150,000 | $52,000 | $125,000 | $49,000 | $124,000 |
| Application Withdrawn By Applicant | 5 | $205,000 | $41,000 | $65,000 | $43,000 | $58,000 |
| 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 | 932 | $39,620,000 | $42,000 | $225,000 | $53,000 | $183,000 |
| Not applicable | 781 | $56,365,000 | $72,000 | $2,105,000 | $57,000 | $493,000 |
| Debt-To-Income Ratio | 708 | $32,630,000 | $46,000 | $175,000 | $40,000 | $151,000 |
| Employment History | 91 | $3,335,000 | $36,000 | $95,000 | $45,000 | $88,000 |
| Other | 35 | $1,555,000 | $44,000 | $125,000 | $70,000 | $229,000 |
| Unverifiable Information | 20 | $1,000,000 | $50,000 | $125,000 | $44,000 | $123,000 |
| Credit Application Incomplete | 2 | $100,000 | $50,000 | $75,000 | $41,000 | $58,000 |
| Insufficient Cash (Downpayment, Closing Cost) | 1 | $55,000 | $55,000 | $55,000 | $43,000 | $43,000 |
| Mortgage Insurance Denied | 0 | $0 | $0 | $0 | $0 | $0 |
| Collateral | 0 | $0 | $0 | $0 | $0 | $0 |
Our comprehensive HMDA mortgage statistics provide invaluable insights into Oxford Bank & Trust's 2020 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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