In 2017, M&T Real Estate Trust of Buffalo, NY reported 206 mortgage applications totaling $615.0 million, down 35% from 2016. The average application was for $2,985,660, and applicants reported an average income of $0. 1% of its applications resulted in an originated loan and 0% were denied. Its largest markets were New York-Jersey City-White Plains, NY-NJ (37), Buffalo-Cheektowaga-Niagara Falls, NY (26) and Baltimore-Columbia-Towson, MD (18) (applications in parentheses).
| Mortgage Company & Address | M&T Real Estate Trust 701 Seneca Street-Suite 330n Buffalo, NY 14210 Tel #: available with data download |
| Federal Regulator | * available with data download |
| Years | 2017 2016 2015 2014 2013 2012 2011 |
| Total Number of Mortgage Applications | 206 |
| Total Mortgage Loan Application Amount | $615,046,000 |
| Average Mortgage Loan Application Amount | $2,985,660 |
| Highest Mortgage Loan Application Amount | $57,810,000 |
| Average Applicant Income | $0 |
| Highest Applicant Income | $0 |
About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records M&T Real Estate Trust filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 |
|---|---|---|---|---|
| Erie, New York | 21 | $ 15,606,000 | $ 743,142 | $ 0 |
| Baltimore City, Maryland | 11 | $ 9,851,000 | $ 895,545 | $ 0 |
| New York, New York | 11 | $ 70,424,000 | $ 6,402,181 | $ 0 |
| Broome, New York | 6 | $ 1,448,000 | $ 241,333 | $ 0 |
| New Castle, Delaware | 5 | $ 10,912,000 | $ 2,182,400 | $ 0 |
| Sussex, Delaware | 5 | $ 1,161,000 | $ 232,200 | $ 0 |
| Passaic, New Jersey | 5 | $ 1,280,000 | $ 256,000 | $ 0 |
| Bronx, New York | 5 | $ 34,055,000 | $ 6,811,000 | $ 0 |
| Monroe, New York | 5 | $ 32,146,000 | $ 6,429,200 | $ 0 |
| Niagara, New York | 5 | $ 3,200,000 | $ 640,000 | $ 0 |
| Saratoga, New York | 5 | $ 58,950,000 | $ 11,790,000 | $ 0 |
| York, Pennsylvania | 5 | $ 1,005,000 | $ 201,000 | $ 0 |
| Frederick, Maryland | 4 | $ 1,858,000 | $ 464,500 | $ 0 |
| Dutchess, New York | 4 | $ 9,416,000 | $ 2,354,000 | $ 0 |
| Rensselaer, New York | 4 | $ 3,150,000 | $ 787,500 | $ 0 |
| Blair, Pennsylvania | 4 | $ 364,000 | $ 91,000 | $ 0 |
| Franklin, Pennsylvania | 4 | $ 4,574,000 | $ 1,143,500 | $ 0 |
| Fairfield, Connecticut | 3 | $ 21,972,000 | $ 7,324,000 | $ 0 |
| Baltimore, Maryland | 3 | $ 265,000 | $ 88,333 | $ 0 |
| Adams, Pennsylvania | 3 | $ 695,000 | $ 231,666 | $ 0 |
| Dauphin, Pennsylvania | 3 | $ 2,000,000 | $ 666,666 | $ 0 |
| Accomack, Virginia | 3 | $ 462,000 | $ 154,000 | $ 0 |
| Kent, Delaware | 2 | $ 765,000 | $ 382,500 | $ 0 |
| Harford, Maryland | 2 | $ 206,000 | $ 103,000 | $ 0 |
| Wicomico, Maryland | 2 | $ 561,000 | $ 280,500 | $ 0 |
| Worcester, Maryland | 2 | $ 719,000 | $ 359,500 | $ 0 |
| Monmouth, New Jersey | 2 | $ 9,000,000 | $ 4,500,000 | $ 0 |
| Cayuga, New York | 2 | $ 262,000 | $ 131,000 | $ 0 |
| Genesee, New York | 2 | $ 771,000 | $ 385,500 | $ 0 |
| Kings, New York | 2 | $ 10,400,000 | $ 5,200,000 | $ 0 |
| Onondaga, New York | 2 | $ 473,000 | $ 236,500 | $ 0 |
| Orange, New York | 2 | $ 23,000,000 | $ 11,500,000 | $ 0 |
| Richmond, New York | 2 | $ 6,594,000 | $ 3,297,000 | $ 0 |
| Suffolk, New York | 2 | $ 20,600,000 | $ 10,300,000 | $ 0 |
| Westchester, New York | 2 | $ 1,538,000 | $ 769,000 | $ 0 |
| Berks, Pennsylvania | 2 | $ 201,000 | $ 100,500 | $ 0 |
| Lehigh, Pennsylvania | 2 | $ 212,000 | $ 106,000 | $ 0 |
| Monroe, Pennsylvania | 2 | $ 12,440,000 | $ 6,220,000 | $ 0 |
| Montgomery, Pennsylvania | 2 | $ 486,000 | $ 243,000 | $ 0 |
| King, Washington | 2 | $ 9,310,000 | $ 4,655,000 | $ 0 |
| Pierce, Washington | 2 | $ 12,600,000 | $ 6,300,000 | $ 0 |
| Denver, Colorado | 1 | $ 39,450,000 | $ 39,450,000 | $ 0 |
| Hartford, Connecticut | 1 | $ 16,125,000 | $ 16,125,000 | $ 0 |
| New Haven, Connecticut | 1 | $ 3,885,000 | $ 3,885,000 | $ 0 |
| Allegany, Maryland | 1 | $ 25,000 | $ 25,000 | $ 0 |
| Anne Arundel, Maryland | 1 | $ 485,000 | $ 485,000 | $ 0 |
| Carroll, Maryland | 1 | $ 154,000 | $ 154,000 | $ 0 |
| Montgomery, Maryland | 1 | $ 840,000 | $ 840,000 | $ 0 |
| Prince George's, Maryland | 1 | $ 372,000 | $ 372,000 | $ 0 |
| Talbot, Maryland | 1 | $ 1,543,000 | $ 1,543,000 | $ 0 |
| Washington, Maryland | 1 | $ 25,000 | $ 25,000 | $ 0 |
| Norfolk, Massachusetts | 1 | $ 57,810,000 | $ 57,810,000 | $ 0 |
| Bergen, New Jersey | 1 | $ 130,000 | $ 130,000 | $ 0 |
| Hudson, New Jersey | 1 | $ 770,000 | $ 770,000 | $ 0 |
| Middlesex, New Jersey | 1 | $ 7,100,000 | $ 7,100,000 | $ 0 |
| Morris, New Jersey | 1 | $ 400,000 | $ 400,000 | $ 0 |
| Ocean, New Jersey | 1 | $ 158,000 | $ 158,000 | $ 0 |
| Albany, New York | 1 | $ 2,848,000 | $ 2,848,000 | $ 0 |
| Chenango, New York | 1 | $ 90,000 | $ 90,000 | $ 0 |
| Greene, New York | 1 | $ 116,000 | $ 116,000 | $ 0 |
| Jefferson, New York | 1 | $ 650,000 | $ 650,000 | $ 0 |
| Nassau, New York | 1 | $ 200,000 | $ 200,000 | $ 0 |
| Oneida, New York | 1 | $ 1,674,000 | $ 1,674,000 | $ 0 |
| Otsego, New York | 1 | $ 150,000 | $ 150,000 | $ 0 |
| Queens, New York | 1 | $ 10,500,000 | $ 10,500,000 | $ 0 |
| Rockland, New York | 1 | $ 9,548,000 | $ 9,548,000 | $ 0 |
| Schenectady, New York | 1 | $ 1,200,000 | $ 1,200,000 | $ 0 |
| Ulster, New York | 1 | $ 195,000 | $ 195,000 | $ 0 |
| Warren, New York | 1 | $ 1,630,000 | $ 1,630,000 | $ 0 |
| Dare, North Carolina | 1 | $ 505,000 | $ 505,000 | $ 0 |
| Wake, North Carolina | 1 | $ 20,000,000 | $ 20,000,000 | $ 0 |
| Marion, Oregon | 1 | $ 1,610,000 | $ 1,610,000 | $ 0 |
| Washington, Oregon | 1 | $ 1,800,000 | $ 1,800,000 | $ 0 |
| Allegheny, Pennsylvania | 1 | $ 134,000 | $ 134,000 | $ 0 |
| Bucks, Pennsylvania | 1 | $ 883,000 | $ 883,000 | $ 0 |
| Centre, Pennsylvania | 1 | $ 100,000 | $ 100,000 | $ 0 |
| Clearfield, Pennsylvania | 1 | $ 6,375,000 | $ 6,375,000 | $ 0 |
| Delaware, Pennsylvania | 1 | $ 150,000 | $ 150,000 | $ 0 |
| Lancaster, Pennsylvania | 1 | $ 10,000,000 | $ 10,000,000 | $ 0 |
| Philadelphia, Pennsylvania | 1 | $ 15,200,000 | $ 15,200,000 | $ 0 |
| Schuylkill, Pennsylvania | 1 | $ 89,000 | $ 89,000 | $ 0 |
| Newport, Rhode Island | 1 | $ 500,000 | $ 500,000 | $ 0 |
| Alexandria, Virginia | 1 | $ 597,000 | $ 597,000 | $ 0 |
| Fairfax, Virginia | 1 | $ 4,000,000 | $ 4,000,000 | $ 0 |
| Monongalia, West Virginia | 1 | $ 98,000 | $ 98,000 | $ 0 |
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 | 134 | $379,455,000 | $2,831,000 | $39,450,000 | $0 | $0 |
| Refinancing | 50 | $213,579,000 | $4,271,000 | $57,810,000 | $0 | $0 |
| Home Improvement | 22 | $22,012,000 | $1,000,000 | $6,500,000 | $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 |
|---|---|---|---|---|---|---|
| Not applicable | 206 | $615,046,000 | $2,985,000 | $57,810,000 | $0 | $0 |
| Not Provided | 0 | $0 | $0 | $0 | $0 | $0 |
| White | 0 | $0 | $0 | $0 | $0 | $0 |
| American Indian or Alaskan Native | 0 | $0 | $0 | $0 | $0 | $0 |
| Asian | 0 | $0 | $0 | $0 | $0 | $0 |
| Black or African American | 0 | $0 | $0 | $0 | $0 | $0 |
| Hispanic | 0 | $0 | $0 | $0 | $0 | $0 |
| Native Hawaiian or Other Pacific Islander | 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) | 206 | $615,046,000 | $2,985,000 | $57,810,000 | $0 | $0 |
| 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 Purchased By The Institution | 204 | $611,636,000 | $2,998,000 | $57,810,000 | $0 | $0 |
| Loan Originated | 2 | $3,410,000 | $1,705,000 | $1,800,000 | $0 | $0 |
| Preapproval Approved but not Accepted | 0 | $0 | $0 | $0 | $0 | $0 |
| Preapproval Denied by Financial Institution | 0 | $0 | $0 | $0 | $0 | $0 |
| Application Approved But Not Accepted | 0 | $0 | $0 | $0 | $0 | $0 |
| Application Denied By Financial Institution | 0 | $0 | $0 | $0 | $0 | $0 |
| Application Withdrawn By Applicant | 0 | $0 | $0 | $0 | $0 | $0 |
| File Closed For Incompleteness | 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 | 0 | $0 | $0 | $0 | $0 | $0 |
| Credit Application Incomplete | 0 | $0 | $0 | $0 | $0 | $0 |
| Credit History | 0 | $0 | $0 | $0 | $0 | $0 |
| Debt-To-Income Ratio | 0 | $0 | $0 | $0 | $0 | $0 |
| 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 |
Our comprehensive HMDA mortgage statistics provide invaluable insights into M&T Real Estate Trust's 2017 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 M&T Real Estate Trust'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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