In 2015, First Federal S&L of Lakewood of Lakewood, OH reported 5,704 mortgage applications totaling $1.1 billion, up 7% from 2014. The average application was for $185,699, and applicants reported an average income of $118,481. 79% of its applications resulted in an originated loan and 5% were denied. Its largest markets were Cleveland-Elyria, OH (3,179), Columbus, OH (928) and Akron, OH (689) (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 | 5,704 |
| Total Mortgage Loan Application Amount | $1,059,231,000 |
| Average Mortgage Loan Application Amount | $185,699 |
| Highest Mortgage Loan Application Amount | $2,265,000 |
| Average Applicant Income | $118,481 |
| Highest Applicant Income | $2,590,000 |
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records First Federal S&L of Lakewood filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 | 4,151 | $784,857,000 | $189,000 | $2,265,000 | $114,000 | $2,590,000 |
| Refinancing | 1,461 | $268,231,000 | $183,000 | $2,028,000 | $132,000 | $1,536,000 |
| Home Improvement | 92 | $6,143,000 | $66,000 | $648,000 | $106,000 | $473,000 |
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 | 4,067 | $713,480,000 | $175,000 | $1,350,000 | $111,000 | $1,536,000 |
| Not Provided | 1,256 | $276,668,000 | $220,000 | $2,265,000 | $151,000 | $2,590,000 |
| Asian | 141 | $26,829,000 | $190,000 | $913,000 | $115,000 | $700,000 |
| Black or African American | 115 | $14,931,000 | $129,000 | $691,000 | $82,000 | $317,000 |
| Hispanic | 85 | $11,648,000 | $137,000 | $504,000 | $76,000 | $230,000 |
| Not applicable | 20 | $12,015,000 | $600,000 | $2,028,000 | $0 | $0 |
| American Indian or Alaskan Native | 17 | $3,116,000 | $183,000 | $390,000 | $112,000 | $238,000 |
| Native Hawaiian or Other Pacific Islander | 3 | $544,000 | $181,000 | $364,000 | $56,000 | $88,000 |
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) | 4,830 | $941,088,000 | $194,000 | $2,265,000 | $128,000 | $2,590,000 |
| FHA-insured (Federal Housing Administration) | 701 | $88,331,000 | $126,000 | $322,000 | $59,000 | $392,000 |
| VA-guaranteed (Veterans Administration) | 126 | $23,278,000 | $184,000 | $417,000 | $82,000 | $229,000 |
| FSA/RHS (Farm Service Agency or Rural Housing Service) | 47 | $6,534,000 | $139,000 | $285,000 | $50,000 | $102,000 |
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 | 4,523 | $847,125,000 | $187,000 | $2,265,000 | $118,000 | $2,590,000 |
| Application Withdrawn By Applicant | 540 | $92,311,000 | $170,000 | $863,000 | $110,000 | $605,000 |
| Application Denied By Financial Institution | 282 | $42,980,000 | $152,000 | $1,350,000 | $99,000 | $823,000 |
| Application Approved But Not Accepted | 226 | $46,198,000 | $204,000 | $1,040,000 | $132,000 | $1,232,000 |
| File Closed For Incompleteness | 133 | $30,617,000 | $230,000 | $1,275,000 | $168,000 | $1,536,000 |
| 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 |
|---|---|---|---|---|---|---|
| Collateral | 114 | $18,613,000 | $163,000 | $645,000 | $109,000 | $406,000 |
| Debt-To-Income Ratio | 70 | $10,338,000 | $147,000 | $1,350,000 | $67,000 | $823,000 |
| Credit History | 52 | $7,341,000 | $141,000 | $900,000 | $106,000 | $517,000 |
| Other | 23 | $4,280,000 | $186,000 | $800,000 | $140,000 | $477,000 |
| Insufficient Cash (Downpayment, Closing Cost) | 9 | $873,000 | $97,000 | $237,000 | $118,000 | $558,000 |
| Employment History | 8 | $854,000 | $106,000 | $168,000 | $38,000 | $96,000 |
| Mortgage Insurance Denied | 5 | $625,000 | $125,000 | $209,000 | $108,000 | $155,000 |
| Unverifiable Information | 1 | $56,000 | $56,000 | $56,000 | $33,000 | $33,000 |
| Credit Application Incomplete | 0 | $0 | $0 | $0 | $0 | $0 |
Our comprehensive HMDA mortgage statistics provide invaluable insights into First Federal S&L of Lakewood's 2015 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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