In 2017, First Federal S&L of Lakewood of Lakewood, OH reported 4,013 mortgage applications totaling $829.1 million, down 26% from 2016. The average application was for $206,600, and applicants reported an average income of $111,907. 73% of its applications resulted in an originated loan and 3% were denied. Its largest markets were Cleveland-Elyria, OH (2,164), Columbus, OH (523) and Akron, OH (295) (applications in parentheses).
| Mortgage Company & Address | First Federal S&L of Lakewood 14806 Detroit Ave Lakewood, OH 44107 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 | 4,013 |
| Total Mortgage Loan Application Amount | $829,089,000 |
| Average Mortgage Loan Application Amount | $206,600 |
| Highest Mortgage Loan Application Amount | $3,570,000 |
| Average Applicant Income | $111,907 |
| Highest Applicant Income | $2,965,000 |
About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records First Federal S&L of Lakewood filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 | 3,230 | $674,354,000 | $208,000 | $1,350,000 | $107,000 | $2,093,000 |
| Refinancing | 778 | $148,580,000 | $190,000 | $2,588,000 | $133,000 | $2,965,000 |
| Home Improvement | 5 | $6,155,000 | $1,231,000 | $3,570,000 | $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 | 3,040 | $604,647,000 | $198,000 | $1,650,000 | $122,000 | $2,965,000 |
| Not applicable | 401 | $95,977,000 | $239,000 | $3,570,000 | $0 | $0 |
| Not Provided | 310 | $76,574,000 | $247,000 | $2,588,000 | $151,000 | $862,000 |
| Asian | 123 | $29,405,000 | $239,000 | $1,440,000 | $137,000 | $939,000 |
| Black or African American | 72 | $11,293,000 | $156,000 | $486,000 | $81,000 | $269,000 |
| Hispanic | 61 | $10,144,000 | $166,000 | $520,000 | $96,000 | $1,089,000 |
| American Indian or Alaskan Native | 4 | $700,000 | $175,000 | $207,000 | $98,000 | $137,000 |
| Native Hawaiian or Other Pacific Islander | 2 | $349,000 | $174,000 | $262,000 | $102,000 | $156,000 |
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) | 3,649 | $777,330,000 | $213,000 | $3,570,000 | $116,000 | $2,965,000 |
| FHA-insured (Federal Housing Administration) | 279 | $37,721,000 | $135,000 | $301,000 | $65,000 | $353,000 |
| VA-guaranteed (Veterans Administration) | 64 | $11,738,000 | $183,000 | $403,000 | $75,000 | $187,000 |
| FSA/RHS (Farm Service Agency or Rural Housing Service) | 21 | $2,300,000 | $109,000 | $175,000 | $43,000 | $77,000 |
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 | 2,938 | $606,490,000 | $206,000 | $3,570,000 | $125,000 | $2,965,000 |
| Loan Purchased By The Institution | 381 | $82,248,000 | $215,000 | $872,000 | $0 | $0 |
| Application Withdrawn By Applicant | 286 | $54,902,000 | $191,000 | $1,000,000 | $113,000 | $720,000 |
| Application Approved But Not Accepted | 181 | $37,072,000 | $204,000 | $702,000 | $130,000 | $1,737,000 |
| Application Denied By Financial Institution | 125 | $21,281,000 | $170,000 | $710,000 | $88,000 | $353,000 |
| File Closed For Incompleteness | 102 | $27,096,000 | $265,000 | $1,350,000 | $148,000 | $642,000 |
| 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 |
|---|---|---|---|---|---|---|
| Collateral | 51 | $10,388,000 | $203,000 | $710,000 | $108,000 | $341,000 |
| Credit History | 25 | $2,452,000 | $98,000 | $280,000 | $76,000 | $353,000 |
| Debt-To-Income Ratio | 25 | $4,506,000 | $180,000 | $615,000 | $65,000 | $209,000 |
| Other | 13 | $2,342,000 | $180,000 | $390,000 | $95,000 | $255,000 |
| Employment History | 8 | $960,000 | $120,000 | $183,000 | $48,000 | $70,000 |
| Insufficient Cash (Downpayment, Closing Cost) | 2 | $476,000 | $238,000 | $282,000 | $95,000 | $133,000 |
| Unverifiable Information | 1 | $157,000 | $157,000 | $157,000 | $77,000 | $77,000 |
| Credit Application Incomplete | 0 | $0 | $0 | $0 | $0 | $0 |
| Mortgage Insurance Denied | 0 | $0 | $0 | $0 | $0 | $0 |
Our comprehensive HMDA mortgage statistics provide invaluable insights into First Federal S&L of Lakewood'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 First Federal S&L of Lakewood'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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