In 2014, Petefish, Skiles, & Company Bank of Virginia, IL reported 207 mortgage applications totaling $17.4 million, up 22% from 2013. The average application was for $84,294, and applicants reported an average income of $68,681. 72% of its applications resulted in an originated loan and 25% were denied. Its largest markets were Springfield, IL (46), Davenport-Moline-Rock Island, IA-IL (2) and Champaign-Urbana, IL (1) (applications in parentheses).
| Mortgage Company & Address | Petefish, Skiles, & Company Bank 102 W. Beardstown St. Virginia, IL 62691 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 | 207 |
| Total Mortgage Loan Application Amount | $17,449,000 |
| Average Mortgage Loan Application Amount | $84,294 |
| Highest Mortgage Loan Application Amount | $350,000 |
| Average Applicant Income | $68,681 |
| Highest Applicant Income | $356,000 |
About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Petefish, Skiles, & Company Bank filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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.
| Metro Area | Total Number of Mortgage Loan Applications | Total Dollar Amount of Mortgage Loan Applications | Average Mortgage Loan Application Amount | Average Applicant Income |
|---|---|---|---|---|
| Springfield, IL | 46 | $ 4,324,000 | $ 94,000 | $ 72,000 |
| Davenport-Moline-Rock Island, IA-IL | 2 | $ 235,000 | $ 117,500 | $ 142,000 |
| Champaign-Urbana, IL | 1 | $ 88,000 | $ 88,000 | $ 154,000 |
| Chicago-Naperville-Arlington Heights, IL | 1 | $ 60,000 | $ 60,000 | $ 41,000 |
| Gary, IN | 1 | $ 153,000 | $ 153,000 | $ 74,000 |
| Muskegon, MI | 1 | $ 254,000 | $ 254,000 | $ 166,000 |
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 | 126 | $10,574,000 | $83,000 | $350,000 | $64,000 | $248,000 |
| Refinancing | 66 | $6,057,000 | $91,000 | $280,000 | $78,000 | $356,000 |
| Home Improvement | 15 | $818,000 | $54,000 | $146,000 | $67,000 | $134,000 |
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 | 201 | $16,820,000 | $83,000 | $350,000 | $69,000 | $356,000 |
| Not applicable | 2 | $248,000 | $124,000 | $178,000 | $0 | $0 |
| Hispanic | 2 | $139,000 | $69,000 | $103,000 | $66,000 | $80,000 |
| Asian | 1 | $150,000 | $150,000 | $150,000 | $248,000 | $248,000 |
| Black or African American | 1 | $92,000 | $92,000 | $92,000 | $60,000 | $60,000 |
| Native Hawaiian or Other Pacific Islander | 0 | $0 | $0 | $0 | $0 | $0 |
| Not Provided | 0 | $0 | $0 | $0 | $0 | $0 |
| American Indian or Alaskan Native | 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) | 165 | $14,472,000 | $87,000 | $350,000 | $76,000 | $356,000 |
| FSA/RHS (Farm Service Agency or Rural Housing Service) | 42 | $2,977,000 | $70,000 | $198,000 | $39,000 | $94,000 |
| VA-guaranteed (Veterans Administration) | 0 | $0 | $0 | $0 | $0 | $0 |
| FHA-insured (Federal Housing 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 | 149 | $13,086,000 | $87,000 | $350,000 | $74,000 | $356,000 |
| Application Denied By Financial Institution | 52 | $3,916,000 | $75,000 | $254,000 | $54,000 | $166,000 |
| Application Approved But Not Accepted | 4 | $302,000 | $75,000 | $95,000 | $62,000 | $97,000 |
| Application Withdrawn By Applicant | 2 | $145,000 | $72,000 | $125,000 | $105,000 | $112,000 |
| 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 |
|---|---|---|---|---|---|---|
| Collateral | 0 | $0 | $0 | $0 | $0 | $0 |
| Credit Application Incomplete | 0 | $0 | $0 | $0 | $0 | $0 |
| Credit History | 0 | $0 | $0 | $0 | $0 | $0 |
| Debt-To-Income Ratio | 0 | $0 | $0 | $0 | $0 | $0 |
| Employment History | 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 |
| Other | 0 | $0 | $0 | $0 | $0 | $0 |
| Unverifiable Information | 0 | $0 | $0 | $0 | $0 | $0 |
Our comprehensive HMDA mortgage statistics provide invaluable insights into Petefish, Skiles, & Company Bank's 2014 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 Petefish, Skiles, & Company Bank'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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