Peoples Bank Mortgage Lending & HMDA Data, 2017
In 2017, Peoples Bank of Marietta, OH reported 1,466 mortgage applications totaling $177.8 million, down 22% from 2016. The average application was for $121,283, and applicants reported an average income of $75,678. 59% of its applications resulted in an originated loan and 21% were denied. Its largest markets were Parkersburg-Vienna, WV (185), Huntington-Ashland, WV-KY-OH (109) and Cincinnati, OH-KY-IN (95) (applications in parentheses).
| Mortgage Company & Address | Peoples Bank 138 Putnam Street Marietta, OH 45750 Tel #: available with data download |
| Federal Regulator | * available with data download |
| Years | 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 |
| Total Number of Mortgage Applications | 1,466 |
| Total Mortgage Loan Application Amount | $177,801,000 |
| Average Mortgage Loan Application Amount | $121,283 |
| Highest Mortgage Loan Application Amount | $5,839,000 |
| Average Applicant Income | $75,678 |
| Highest Applicant Income | $5,541,000 |
About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Peoples Bank filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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.
Mortgage Loan Application Detail Totals for Peoples Bank in 2017
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 | 758 | $93,915,000 | $123,000 | $5,839,000 | $74,000 | $2,591,000 |
| Refinancing | 498 | $65,376,000 | $131,000 | $5,272,000 | $84,000 | $5,541,000 |
| Home Improvement | 210 | $18,510,000 | $88,000 | $480,000 | $62,000 | $307,000 |
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 | 1,400 | $156,575,000 | $111,000 | $1,196,000 | $76,000 | $5,541,000 |
| Not applicable | 23 | $14,872,000 | $646,000 | $5,839,000 | $0 | $0 |
| Asian | 13 | $2,331,000 | $179,000 | $910,000 | $119,000 | $846,000 |
| Not Provided | 12 | $1,800,000 | $150,000 | $726,000 | $157,000 | $657,000 |
| Black or African American | 10 | $1,311,000 | $131,000 | $270,000 | $152,000 | $388,000 |
| Hispanic | 7 | $717,000 | $102,000 | $138,000 | $50,000 | $107,000 |
| Native Hawaiian or Other Pacific Islander | 1 | $195,000 | $195,000 | $195,000 | $45,000 | $45,000 |
| 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) | 1,373 | $168,700,000 | $122,000 | $5,839,000 | $78,000 | $5,541,000 |
| FSA/RHS (Farm Service Agency or Rural Housing Service) | 92 | $9,033,000 | $98,000 | $210,000 | $40,000 | $71,000 |
| FHA-insured (Federal Housing Administration) | 1 | $68,000 | $68,000 | $68,000 | $61,000 | $61,000 |
| 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 | 871 | $113,482,000 | $130,000 | $5,839,000 | $84,000 | $5,541,000 |
| Application Denied By Financial Institution | 305 | $31,261,000 | $102,000 | $460,000 | $54,000 | $381,000 |
| Preapproval Denied by Financial Institution | 100 | $10,000,000 | $100,000 | $333,000 | $41,000 | $140,000 |
| Application Withdrawn By Applicant | 80 | $8,973,000 | $112,000 | $610,000 | $76,000 | $344,000 |
| File Closed For Incompleteness | 60 | $7,086,000 | $118,000 | $910,000 | $123,000 | $2,591,000 |
| Application Approved But Not Accepted | 50 | $6,999,000 | $139,000 | $417,000 | $84,000 | $821,000 |
| Loan Purchased By The Institution | 0 | $0 | $0 | $0 | $0 | $0 |
| Preapproval Approved but not Accepted | 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 | 161 | $14,068,000 | $87,000 | $257,000 | $51,000 | $381,000 |
| Debt-To-Income Ratio | 119 | $13,634,000 | $114,000 | $460,000 | $40,000 | $150,000 |
| Collateral | 67 | $6,412,000 | $95,000 | $272,000 | $65,000 | $305,000 |
| Insufficient Cash (Downpayment, Closing Cost) | 19 | $1,951,000 | $102,000 | $420,000 | $38,000 | $77,000 |
| Credit Application Incomplete | 17 | $2,752,000 | $161,000 | $277,000 | $82,000 | $237,000 |
| Unverifiable Information | 11 | $1,504,000 | $136,000 | $424,000 | $68,000 | $150,000 |
| Other | 8 | $750,000 | $93,000 | $172,000 | $45,000 | $89,000 |
| Mortgage Insurance Denied | 2 | $164,000 | $82,000 | $88,000 | $83,000 | $87,000 |
| Employment History | 1 | $26,000 | $26,000 | $26,000 | $33,000 | $33,000 |
Our comprehensive HMDA mortgage statistics provide invaluable insights into Peoples Bank's 2017 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 Peoples 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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