G. & M. Wolkenberg Inc Mortgage Lending & HMDA Data, 2012
In 2012, G. & M. Wolkenberg Inc of Oceanside, NY reported 176 mortgage applications totaling $58.1 million. The average application was for $330,164, and applicants reported an average income of $174,181. 91% of its applications resulted in an originated loan and 6% were denied. Its largest markets were Nassau-Suffolk, NY (148) and New York-White Plains-Wayne, NY-NJ (28).
| Mortgage Company & Address | G. & M. Wolkenberg Inc 2838 Long Beach Road Oceanside, NY 11572 Tel #: available with data download |
| Federal Regulator | * available with data download |
| Years | 2012 |
| Total Number of Mortgage Applications | 176 |
| Total Mortgage Loan Application Amount | $58,109,000 |
| Average Mortgage Loan Application Amount | $330,164 |
| Highest Mortgage Loan Application Amount | $980,000 |
| Average Applicant Income | $174,181 |
| Highest Applicant Income | $1,591,000 |
About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records G. & M. Wolkenberg Inc filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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.
| County | Total Number of Mortgage Loan Applications | Total Dollar Amount of Mortgage Loans Applications | Average Mortgage Loan Application Amount | Average Applicant Income |
|---|---|---|---|---|
| Nassau, New York | 113 | $ 36,302,000 | $ 321,256 | $ 161,000 |
| Suffolk, New York | 35 | $ 12,277,000 | $ 350,771 | $ 244,000 |
| Queens, New York | 11 | $ 3,288,000 | $ 298,909 | $ 129,000 |
| Kings, New York | 7 | $ 2,566,000 | $ 366,571 | $ 121,000 |
| New York, New York | 6 | $ 2,392,000 | $ 398,666 | $ 198,000 |
| Westchester, New York | 4 | $ 1,284,000 | $ 321,000 | $ 119,000 |
Mortgage Loan Application Detail Totals for G. & M. Wolkenberg Inc in 2012
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 |
|---|---|---|---|---|---|---|
| Refinancing | 136 | $44,454,000 | $326,000 | $980,000 | $171,000 | $1,591,000 |
| Home Purchase | 40 | $13,655,000 | $341,000 | $739,000 | $185,000 | $725,000 |
| Home Improvement | 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 | 165 | $55,172,000 | $334,000 | $980,000 | $179,000 | $1,591,000 |
| Asian | 4 | $1,047,000 | $261,000 | $518,000 | $98,000 | $142,000 |
| Hispanic | 4 | $986,000 | $246,000 | $362,000 | $82,000 | $103,000 |
| Black or African American | 3 | $904,000 | $301,000 | $380,000 | $103,000 | $105,000 |
| American Indian or Alaskan Native | 0 | $0 | $0 | $0 | $0 | $0 |
| Native Hawaiian or Other Pacific Islander | 0 | $0 | $0 | $0 | $0 | $0 |
| Not applicable | 0 | $0 | $0 | $0 | $0 | $0 |
| Not Provided | 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) | 176 | $58,109,000 | $330,000 | $980,000 | $174,000 | $1,591,000 |
| 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 |
| 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 | 161 | $53,604,000 | $332,000 | $980,000 | $179,000 | $1,591,000 |
| Application Denied By Financial Institution | 11 | $3,631,000 | $330,000 | $518,000 | $124,000 | $343,000 |
| Application Withdrawn By Applicant | 4 | $874,000 | $218,000 | $316,000 | $94,000 | $173,000 |
| File Closed For Incompleteness | 0 | $0 | $0 | $0 | $0 | $0 |
| Application Approved But Not Accepted | 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 | 10 | $3,408,000 | $340,000 | $518,000 | $130,000 | $343,000 |
| Debt-To-Income Ratio | 1 | $223,000 | $223,000 | $223,000 | $60,000 | $60,000 |
| 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 |
| Credit Application Incomplete | 0 | $0 | $0 | $0 | $0 | $0 |
| Credit History | 0 | $0 | $0 | $0 | $0 | $0 |
Our comprehensive HMDA mortgage statistics provide invaluable insights into G. & M. Wolkenberg Inc's 2012 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 G. & M. Wolkenberg Inc'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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