Nicolet National Bank Mortgage Lending & HMDA Data, 2016

In 2016, Nicolet National Bank of Green Bay, WI reported 2,444 mortgage applications totaling $446.2 million, up 48% from 2015. The average application was for $182,559, and applicants reported an average income of $120,359. 74% of its applications resulted in an originated loan and 10% were denied. Its largest markets were Green Bay, WI (962), Appleton, WI (177) and Wausau, WI (127) (applications in parentheses).

Mortgage Company & Address Nicolet National Bank
111 N Washington St
Green Bay, WI 54301
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  2010  2009  2008  2007  2006  2005  2004  2003  
Total Number of Mortgage Applications 2,444
Total Mortgage Loan Application Amount $446,176,000
Average Mortgage Loan Application Amount $182,559
Highest Mortgage Loan Application Amount $2,800,000
Average Applicant Income $120,359
Highest Applicant Income $4,877,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Nicolet National Bank filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Totals for Nicolet National Bank by County in 2016

County Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loans Applications Average Mortgage Loan Application Amount Average Applicant Income
Brown, Wisconsin 823 $ 160,635,000 $ 195,182 $ 133,000
Door, Wisconsin 280 $ 62,550,000 $ 223,392 $ 157,000
Outagamie, Wisconsin 152 $ 33,208,000 $ 218,473 $ 119,000
Marathon, Wisconsin 127 $ 20,382,000 $ 160,488 $ 97,000
Marinette, Wisconsin 106 $ 11,256,000 $ 106,188 $ 70,000
Oneida, Wisconsin 104 $ 18,521,000 $ 178,086 $ 120,000
Vilas, Wisconsin 104 $ 19,740,000 $ 189,807 $ 122,000
Kewaunee, Wisconsin 91 $ 10,486,000 $ 115,230 $ 77,000
Taylor, Wisconsin 62 $ 7,417,000 $ 119,629 $ 77,000
Winnebago, Wisconsin 61 $ 15,916,000 $ 260,918 $ 135,000
Oconto, Wisconsin 48 $ 9,360,000 $ 195,000 $ 151,000
Menominee, Michigan 35 $ 2,831,000 $ 80,885 $ 64,000
Price, Wisconsin 29 $ 3,025,000 $ 104,310 $ 66,000
Calumet, Wisconsin 25 $ 4,168,000 $ 166,720 $ 130,000
Manitowoc, Wisconsin 19 $ 2,771,000 $ 145,842 $ 94,000
Waupaca, Wisconsin 16 $ 2,917,000 $ 182,312 $ 121,000
Shawano, Wisconsin 13 $ 2,288,000 $ 176,000 $ 110,000
Clark, Wisconsin 12 $ 1,254,000 $ 104,500 $ 72,000
Milwaukee, Wisconsin 8 $ 1,578,000 $ 197,250 $ 209,000
Lincoln, Wisconsin 7 $ 1,645,000 $ 235,000 $ 131,000
Marquette, Michigan 6 $ 860,000 $ 143,333 $ 59,000
Dane, Wisconsin 6 $ 1,364,000 $ 227,333 $ 101,000
Forest, Wisconsin 6 $ 1,307,000 $ 217,833 $ 252,000
Cook, Illinois 5 $ 1,864,000 $ 372,800 $ 302,000
Maricopa, Arizona 4 $ 997,000 $ 249,250 $ 175,000
Dakota, Minnesota 4 $ 928,000 $ 232,000 $ 178,000
Florence, Wisconsin 4 $ 565,000 $ 141,250 $ 144,000
Ozaukee, Wisconsin 4 $ 1,237,000 $ 309,250 $ 150,000
Sheboygan, Wisconsin 4 $ 345,000 $ 86,250 $ 76,000
Gogebic, Michigan 3 $ 419,000 $ 139,666 $ 108,000
King, Washington 3 $ 2,003,000 $ 667,666 $ 1,005,000
Bayfield, Wisconsin 3 $ 738,000 $ 246,000 $ 289,000
Eau Claire, Wisconsin 3 $ 736,000 $ 245,333 $ 80,000
Waukesha, Wisconsin 3 $ 960,000 $ 320,000 $ 167,000
Wood, Wisconsin 3 $ 662,000 $ 220,666 $ 131,000
Will, Illinois 2 $ 684,000 $ 342,000 $ 127,000
Jefferson, Kentucky 2 $ 404,000 $ 202,000 $ 48,000
Carver, Minnesota 2 $ 301,000 $ 150,500 $ 94,000
Hennepin, Minnesota 2 $ 545,000 $ 272,500 $ 116,000
Ramsey, Minnesota 2 $ 540,000 $ 270,000 $ 140,000
Gallatin, Montana 2 $ 570,000 $ 285,000 $ 56,000
Beaufort, South Carolina 2 $ 834,000 $ 417,000 $ 1,047,000
Fond du Lac, Wisconsin 2 $ 438,000 $ 219,000 $ 219,000
Portage, Wisconsin 2 $ 357,000 $ 178,500 $ 187,000
Lee, Alabama 1 $ 250,000 $ 250,000 $ 285,000
Jefferson, Colorado 1 $ 294,000 $ 294,000 $ 100,000
Broward, Florida 1 $ 1,760,000 $ 1,760,000 $ 1,576,000
Hillsborough, Florida 1 $ 299,000 $ 299,000 $ 183,000
Lake, Florida 1 $ 333,000 $ 333,000 $ 244,000
Monroe, Florida 1 $ 415,000 $ 415,000 $ 415,000
Pinellas, Florida 1 $ 234,000 $ 234,000 $ 127,000
Sumter, Florida 1 $ 275,000 $ 275,000 $ 100,000
Catoosa, Georgia 1 $ 250,000 $ 250,000 $ 109,000
Gwinnett, Georgia 1 $ 195,000 $ 195,000 $ 124,000
Grundy, Illinois 1 $ 184,000 $ 184,000 $ 107,000
Kendall, Illinois 1 $ 171,000 $ 171,000 $ 46,000
McHenry, Illinois 1 $ 173,000 $ 173,000 $ 64,000
Winnebago, Illinois 1 $ 120,000 $ 120,000 $ 192,000
Marshall, Indiana 1 $ 126,000 $ 126,000 $ 200,000
Baraga, Michigan 1 $ 320,000 $ 320,000 $ 114,000
Delta, Michigan 1 $ 415,000 $ 415,000 $ 484,000
Dickinson, Michigan 1 $ 161,000 $ 161,000 $ 200,000
Houghton, Michigan 1 $ 48,000 $ 48,000 $ 170,000
Iron, Michigan 1 $ 68,000 $ 68,000 $ 134,000
Lenawee, Michigan 1 $ 144,000 $ 144,000 $ 54,000
Mecosta, Michigan 1 $ 251,000 $ 251,000 $ 121,000
Lake, Minnesota 1 $ 356,000 $ 356,000 $ 235,000
Rice, Minnesota 1 $ 93,000 $ 93,000 $ 175,000
Washington, Minnesota 1 $ 20,000 $ 20,000 $ 124,000
Flathead, Montana 1 $ 124,000 $ 124,000 $ 156,000
Franklin, Ohio 1 $ 61,000 $ 61,000 $ 52,000
Portage, Ohio 1 $ 112,000 $ 112,000 $ 112,000
Multnomah, Oregon 1 $ 371,000 $ 371,000 $ 115,000
Lexington, South Carolina 1 $ 319,000 $ 319,000 $ 186,000
Davidson, Tennessee 1 $ 315,000 $ 315,000 $ 64,000
Tarrant, Texas 1 $ 86,000 $ 86,000 $ 150,000
Shenandoah, Virginia 1 $ 100,000 $ 100,000 $ 34,000
Adams, Wisconsin 1 $ 88,000 $ 88,000 $ 80,000
Ashland, Wisconsin 1 $ 84,000 $ 84,000 $ 96,000
Barron, Wisconsin 1 $ 113,000 $ 113,000 $ 106,000
Chippewa, Wisconsin 1 $ 201,000 $ 201,000 $ 76,000
Douglas, Wisconsin 1 $ 210,000 $ 210,000 $ 142,000
Iowa, Wisconsin 1 $ 155,000 $ 155,000 $ 93,000
Iron, Wisconsin 1 $ 156,000 $ 156,000 $ 100,000
Langlade, Wisconsin 1 $ 45,000 $ 45,000 $ 0
Marquette, Wisconsin 1 $ 97,000 $ 97,000 $ 95,000
Menominee, Wisconsin 1 $ 155,000 $ 155,000 $ 278,000
St. Croix, Wisconsin 1 $ 204,000 $ 204,000 $ 113,000
Washington, Wisconsin 1 $ 228,000 $ 228,000 $ 255,000
Waushara, Wisconsin 1 $ 72,000 $ 72,000 $ 52,000

Mortgage Loan Application Detail Totals for Nicolet National Bank in 2016

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 1,154 $215,269,000 $186,000 $2,800,000 $118,000 $4,877,000
Refinancing 1,133 $212,865,000 $187,000 $2,800,000 $126,000 $2,189,000
Home Improvement 157 $18,042,000 $114,000 $720,000 $97,000 $752,000

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 2,292 $412,655,000 $180,000 $2,600,000 $123,000 $4,877,000
Not applicable 61 $18,683,000 $306,000 $2,800,000 $0 $0
Hispanic 35 $5,081,000 $145,000 $415,000 $97,000 $484,000
Asian 34 $6,608,000 $194,000 $406,000 $191,000 $750,000
Not Provided 7 $968,000 $138,000 $174,000 $90,000 $144,000
Native Hawaiin or Other Pacific Islander 6 $1,014,000 $169,000 $296,000 $182,000 $590,000
American Indian or Alaskan Native 5 $534,000 $106,000 $150,000 $54,000 $94,000
Black or African American 4 $633,000 $158,000 $360,000 $103,000 $328,000

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) 2,438 $445,164,000 $182,000 $2,800,000 $121,000 $4,877,000
VA-guaranteed (Veterans Administration) 4 $902,000 $225,000 $349,000 $75,000 $150,000
FSA/RHS (Farm Service Agency or Rural Housing Service) 2 $110,000 $55,000 $75,000 $15,000 $20,000
FHA-insured (Federal Housing 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 1,817 $344,122,000 $189,000 $2,800,000 $125,000 $2,189,000
Application Denied By Financial Institution 248 $43,430,000 $175,000 $1,477,000 $99,000 $850,000
Preapproval Denied by Financial Institution 195 $24,051,000 $123,000 $800,000 $56,000 $590,000
Application Withdrawn By Applicant 119 $21,547,000 $181,000 $815,000 $161,000 $2,544,000
File Closed For Incompleteness 36 $6,466,000 $179,000 $720,000 $120,000 $1,040,000
Application Approved But Not Accepted 29 $6,560,000 $226,000 $1,838,000 $291,000 $4,877,000
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 224 $28,433,000 $126,000 $1,477,000 $78,000 $850,000
Debt-To-Income Ratio 127 $18,729,000 $147,000 $800,000 $49,000 $394,000
Collateral 66 $16,050,000 $243,000 $1,477,000 $137,000 $678,000
Other 10 $1,871,000 $187,000 $349,000 $157,000 $806,000
Employment History 8 $1,202,000 $150,000 $306,000 $96,000 $252,000
Insufficient Cash (Downpayment, Closing Cost) 7 $996,000 $142,000 $221,000 $63,000 $157,000
Unverifiable Information 1 $200,000 $200,000 $200,000 $59,000 $59,000
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 Nicolet National Bank's 2016 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 Nicolet National 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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