North Shore Bank FSB Mortgage Lending & HMDA Data, 2006
In 2006, North Shore Bank FSB of Sturgeon Bay, WI reported 1,513 mortgage applications totaling $230.3 million, down 16% from 2005. The average application was for $152,212, and applicants reported an average income of $76,966. 78% of its applications resulted in an originated loan and 11% were denied. Its largest markets were Milwaukee-Waukesha-West Allis, WI (746), Racine, WI (164) and Lake County-Kenosha County, IL-WI (144) (applications in parentheses).
| Mortgage Company & Address | North Shore Bank FSB 225 N 5th Ave Sturgeon Bay, WI 54235 Tel #: available with data download |
| Federal Regulator | * available with data download |
| Years | 2010 2009 2008 2007 2006 2005 2004 2003 |
| Total Number of Mortgage Applications | 1,513 |
| Total Mortgage Loan Application Amount | $230,298,000 |
| Average Mortgage Loan Application Amount | $152,212 |
| Highest Mortgage Loan Application Amount | $2,560,000 |
| Average Applicant Income | $76,966 |
| Highest Applicant Income | $2,531,000 |
About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records North Shore Bank FSB filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 North Shore Bank FSB in 2006
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 | 741 | $99,285,000 | $133,000 | $2,276,000 | $71,000 | $312,000 |
| Home Purchase | 594 | $121,376,000 | $204,000 | $2,560,000 | $85,000 | $2,531,000 |
| Home Improvement | 178 | $9,637,000 | $54,000 | $720,000 | $75,000 | $708,000 |
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 | 1,114 | $170,914,000 | $153,000 | $2,560,000 | $83,000 | $2,527,000 |
| Hispanic | 212 | $23,516,000 | $110,000 | $511,000 | $45,000 | $252,000 |
| Black or African American | 62 | $6,645,000 | $107,000 | $621,000 | $58,000 | $186,000 |
| Not Provided | 59 | $2,303,000 | $39,000 | $313,000 | $86,000 | $208,000 |
| Not applicable | 36 | $22,253,000 | $618,000 | $2,276,000 | $82,000 | $2,531,000 |
| Asian | 18 | $3,294,000 | $183,000 | $710,000 | $80,000 | $240,000 |
| American Indian or Alaskan Native | 9 | $777,000 | $86,000 | $185,000 | $66,000 | $184,000 |
| Native Hawaiian or Other Pacific Islander | 3 | $596,000 | $198,000 | $315,000 | $106,000 | $150,000 |
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) | 1,509 | $229,407,000 | $152,000 | $2,560,000 | $77,000 | $2,531,000 |
| VA-guaranteed (Veterans Administration) | 4 | $891,000 | $222,000 | $255,000 | $119,000 | $252,000 |
| 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 |
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 | 1,175 | $188,891,000 | $160,000 | $2,276,000 | $79,000 | $2,531,000 |
| Application Denied By Financial Institution | 161 | $14,460,000 | $89,000 | $296,000 | $58,000 | $245,000 |
| Application Approved But Not Accepted | 79 | $4,722,000 | $59,000 | $250,000 | $75,000 | $208,000 |
| Application Withdrawn By Applicant | 49 | $14,685,000 | $299,000 | $2,560,000 | $92,000 | $612,000 |
| File Closed For Incompleteness | 49 | $7,540,000 | $153,000 | $350,000 | $80,000 | $376,000 |
| 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 |
|---|---|---|---|---|---|---|
| Credit History | 69 | $5,104,000 | $73,000 | $285,000 | $62,000 | $245,000 |
| Debt-To-Income Ratio | 58 | $5,846,000 | $100,000 | $290,000 | $53,000 | $183,000 |
| Collateral | 17 | $1,415,000 | $83,000 | $200,000 | $59,000 | $126,000 |
| Credit Application Incomplete | 8 | $903,000 | $112,000 | $190,000 | $59,000 | $96,000 |
| Insufficient Cash (Downpayment, Closing Cost) | 4 | $678,000 | $169,000 | $296,000 | $51,000 | $89,000 |
| Other | 2 | $209,000 | $104,000 | $156,000 | $65,000 | $94,000 |
| Employment History | 2 | $210,000 | $105,000 | $108,000 | $29,000 | $32,000 |
| Mortgage Insurance Denied | 1 | $95,000 | $95,000 | $95,000 | $31,000 | $31,000 |
| Unverifiable Information | 0 | $0 | $0 | $0 | $0 | $0 |
Our comprehensive HMDA mortgage statistics provide invaluable insights into North Shore Bank FSB's 2006 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 North Shore Bank FSB'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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