Sterling National Bank Mortgage Lending & HMDA Data, 2015

In 2015, Sterling National Bank of Montebello, NY reported 1,665 mortgage applications totaling $809.9 million. The average application was for $486,453, and applicants reported an average income of $197,508. 74% of its applications resulted in an originated loan and 8% were denied. Its largest markets were New York-Jersey City-White Plains, NY-NJ (1,247), Nassau County-Suffolk County, NY (239) and Newark, NJ-PA (43) (applications in parentheses).

Mortgage Company & Address Sterling National Bank
400 Rella Blvd.
Montebello, NY 10901
Tel #: available with data download
Federal Regulator * available with data download
Years 2021  2020  2019  2018  2017  2015  
Total Number of Mortgage Applications 1,665
Total Mortgage Loan Application Amount $809,945,000
Average Mortgage Loan Application Amount $486,453
Highest Mortgage Loan Application Amount $10,780,000
Average Applicant Income $197,508
Highest Applicant Income $4,025,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Sterling National Bank filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Sterling National Bank by County in 2015

County Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loans Applications Average Mortgage Loan Application Amount Average Applicant Income
Kings, New York 419 $ 226,321,000 $ 540,145 $ 193,000
Queens, New York 258 $ 75,948,000 $ 294,372 $ 114,000
New York, New York 250 $ 180,927,000 $ 723,708 $ 273,000
Nassau, New York 157 $ 74,049,000 $ 471,649 $ 234,000
Westchester, New York 92 $ 39,923,000 $ 433,945 $ 216,000
Suffolk, New York 82 $ 38,483,000 $ 469,304 $ 286,000
Orange, New York 65 $ 12,910,000 $ 198,615 $ 105,000
Rockland, New York 59 $ 22,977,000 $ 389,440 $ 144,000
Bronx, New York 23 $ 6,000,000 $ 260,869 $ 86,000
Essex, New Jersey 22 $ 10,968,000 $ 498,545 $ 187,000
Monmouth, New Jersey 22 $ 9,058,000 $ 411,727 $ 253,000
Fairfield, Connecticut 21 $ 25,020,000 $ 1,191,428 $ 184,000
Bergen, New Jersey 19 $ 13,059,000 $ 687,315 $ 257,000
Hudson, New Jersey 18 $ 10,849,000 $ 602,722 $ 142,000
Richmond, New York 14 $ 4,284,000 $ 306,000 $ 136,000
Ulster, New York 8 $ 1,321,000 $ 165,125 $ 126,000
Union, New Jersey 7 $ 2,885,000 $ 412,142 $ 170,000
Dutchess, New York 7 $ 1,628,000 $ 232,571 $ 186,000
Broward, Florida 6 $ 3,453,000 $ 575,500 $ 472,000
Putnam, New York 6 $ 1,960,000 $ 326,666 $ 138,000
Miami-Dade, Florida 5 $ 1,896,000 $ 379,200 $ 269,000
Palm Beach, Florida 5 $ 1,632,000 $ 326,400 $ 189,000
Morris, New Jersey 5 $ 2,501,000 $ 500,200 $ 292,000
Somerset, New Jersey 5 $ 2,839,000 $ 567,800 $ 277,000
Los Angeles, California 4 $ 1,858,000 $ 464,500 $ 175,000
Hartford, Connecticut 4 $ 853,000 $ 213,250 $ 209,000
Middlesex, Massachusetts 4 $ 1,619,000 $ 404,750 $ 249,000
Middlesex, New Jersey 3 $ 1,080,000 $ 360,000 $ 128,000
Passaic, New Jersey 3 $ 865,000 $ 288,333 $ 120,000
Sullivan, New York 3 $ 744,000 $ 248,000 $ 433,000
Pike, Pennsylvania 3 $ 395,000 $ 131,666 $ 147,000
Litchfield, Connecticut 2 $ 1,342,000 $ 671,000 $ 436,000
Middlesex, Connecticut 2 $ 238,000 $ 119,000 $ 105,000
Charlotte, Florida 2 $ 270,000 $ 135,000 $ 62,000
Lee, Florida 2 $ 294,000 $ 147,000 $ 119,000
Orange, Florida 2 $ 881,000 $ 440,500 $ 129,000
Dukes, Massachusetts 2 $ 1,550,000 $ 775,000 $ 366,000
Ocean, New Jersey 2 $ 1,060,000 $ 530,000 $ 344,000
Monroe, Pennsylvania 2 $ 168,000 $ 84,000 $ 312,000
Rutherford, Tennessee 2 $ 428,000 $ 214,000 $ 93,000
Maricopa, Arizona 1 $ 370,000 $ 370,000 $ 896,000
Alameda, California 1 $ 580,000 $ 580,000 $ 368,000
Santa Cruz, California 1 $ 590,000 $ 590,000 $ 142,000
District of Columbia, District Of Columbia 1 $ 128,000 $ 128,000 $ 230,000
Osceola, Florida 1 $ 76,000 $ 76,000 $ 50,000
Sarasota, Florida 1 $ 300,000 $ 300,000 $ 253,000
St. Lucie, Florida 1 $ 154,000 $ 154,000 $ 47,000
Chatham, Georgia 1 $ 237,000 $ 237,000 $ 477,000
Clayton, Georgia 1 $ 6,300,000 $ 6,300,000 $ 0
Fulton, Georgia 1 $ 400,000 $ 400,000 $ 227,000
Boundary, Idaho 1 $ 165,000 $ 165,000 $ 39,000
Jefferson, Louisiana 1 $ 417,000 $ 417,000 $ 192,000
Baltimore City, Maryland 1 $ 64,000 $ 64,000 $ 37,000
Montgomery, Maryland 1 $ 265,000 $ 265,000 $ 153,000
Norfolk, Massachusetts 1 $ 210,000 $ 210,000 $ 169,000
Suffolk, Massachusetts 1 $ 435,000 $ 435,000 $ 214,000
Adams, Mississippi 1 $ 1,505,000 $ 1,505,000 $ 0
Clark, Nevada 1 $ 112,000 $ 112,000 $ 186,000
Carroll, New Hampshire 1 $ 330,000 $ 330,000 $ 78,000
Camden, New Jersey 1 $ 233,000 $ 233,000 $ 133,000
Cape May, New Jersey 1 $ 448,000 $ 448,000 $ 114,000
Mercer, New Jersey 1 $ 296,000 $ 296,000 $ 278,000
Sussex, New Jersey 1 $ 208,000 $ 208,000 $ 115,000
Chenango, New York 1 $ 212,000 $ 212,000 $ 319,000
Schenectady, New York 1 $ 44,000 $ 44,000 $ 120,000
Brunswick, North Carolina 1 $ 228,000 $ 228,000 $ 263,000
Johnston, North Carolina 1 $ 375,000 $ 375,000 $ 193,000
Mecklenburg, North Carolina 1 $ 299,000 $ 299,000 $ 170,000
Rowan, North Carolina 1 $ 276,000 $ 276,000 $ 86,000
Stanly, North Carolina 1 $ 246,000 $ 246,000 $ 86,000
Ransom, North Dakota 1 $ 199,000 $ 199,000 $ 104,000
Oklahoma, Oklahoma 1 $ 260,000 $ 260,000 $ 93,000
Multnomah, Oregon 1 $ 240,000 $ 240,000 $ 194,000
Bucks, Pennsylvania 1 $ 417,000 $ 417,000 $ 94,000
Northampton, Pennsylvania 1 $ 260,000 $ 260,000 $ 141,000
Philadelphia, Pennsylvania 1 $ 204,000 $ 204,000 $ 117,000
Providence, Rhode Island 1 $ 416,000 $ 416,000 $ 225,000
Horry, South Carolina 1 $ 173,000 $ 173,000 $ 35,000
Davidson, Tennessee 1 $ 300,000 $ 300,000 $ 213,000
Ellis, Texas 1 $ 3,640,000 $ 3,640,000 $ 0
McLennan, Texas 1 $ 302,000 $ 302,000 $ 173,000
Grand, Utah 1 $ 360,000 $ 360,000 $ 234,000
Summit, Utah 1 $ 865,000 $ 865,000 $ 460,000
Windsor, Vermont 1 $ 400,000 $ 400,000 $ 257,000
Arlington, Virginia 1 $ 992,000 $ 992,000 $ 411,000
Fairfax, Virginia 1 $ 460,000 $ 460,000 $ 121,000
Rockbridge, Virginia 1 $ 227,000 $ 227,000 $ 141,000
Skagit, Washington 1 $ 191,000 $ 191,000 $ 80,000

Mortgage Loan Application Detail Totals for Sterling National Bank in 2015

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 1,181 $586,368,000 $496,000 $10,780,000 $200,000 $4,025,000
Refinancing 433 $198,855,000 $459,000 $6,300,000 $185,000 $1,334,000
Home Improvement 51 $24,722,000 $484,000 $1,600,000 $246,000 $2,624,000

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 1,177 $541,360,000 $459,000 $3,250,000 $218,000 $3,051,000
Asian 156 $64,149,000 $411,000 $4,445,000 $164,000 $1,322,000
Hispanic 134 $46,176,000 $344,000 $1,800,000 $133,000 $577,000
Black or African American 82 $28,486,000 $347,000 $1,120,000 $172,000 $4,025,000
Not Provided 72 $34,474,000 $478,000 $3,640,000 $194,000 $643,000
Not applicable 40 $94,491,000 $2,362,000 $10,780,000 $0 $0
Native Hawaiian or Other Pacific Islander 4 $809,000 $202,000 $274,000 $87,000 $115,000
American Indian or Alaskan Native 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) 1,591 $783,503,000 $492,000 $10,780,000 $201,000 $4,025,000
FHA-insured (Federal Housing Administration) 74 $26,442,000 $357,000 $884,000 $113,000 $325,000
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 1,224 $610,094,000 $498,000 $10,780,000 $193,000 $4,025,000
Application Approved But Not Accepted 187 $90,245,000 $482,000 $3,250,000 $241,000 $2,169,000
Application Denied By Financial Institution 137 $65,889,000 $480,000 $1,788,000 $198,000 $2,442,000
Application Withdrawn By Applicant 42 $19,284,000 $459,000 $1,920,000 $178,000 $651,000
Loan Purchased By The Institution 38 $4,551,000 $119,000 $348,000 $46,000 $83,000
File Closed For Incompleteness 37 $19,882,000 $537,000 $2,925,000 $303,000 $2,988,000
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
Debt-To-Income Ratio 55 $29,825,000 $542,000 $1,788,000 $132,000 $847,000
Collateral 46 $17,649,000 $383,000 $1,520,000 $189,000 $919,000
Other 13 $7,046,000 $542,000 $1,690,000 $570,000 $2,442,000
Credit History 9 $4,346,000 $482,000 $1,120,000 $172,000 $431,000
Unverifiable Information 7 $4,289,000 $612,000 $1,643,000 $201,000 $400,000
Insufficient Cash (Downpayment, Closing Cost) 4 $2,146,000 $536,000 $740,000 $145,000 $225,000
Employment History 2 $328,000 $164,000 $248,000 $94,000 $100,000
Credit Application Incomplete 1 $260,000 $260,000 $260,000 $93,000 $93,000
Mortgage Insurance Denied 0 $0 $0 $0 $0 $0

Our comprehensive HMDA mortgage statistics provide invaluable insights into Sterling National Bank'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 Sterling 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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