Empower Federal Credit Union Mortgage Lending & HMDA Data, 2015

In 2015, Empower Federal Credit Union of Syracuse, NY reported 4,046 mortgage applications totaling $314.7 million, up 17% from 2014. The average application was for $77,786, and applicants reported an average income of $65,881. 55% of its applications resulted in an originated loan and 15% were denied. Its largest markets were Syracuse, NY (2,446), Buffalo-Cheektowaga-Niagara Falls, NY (82) and Binghamton, NY (71) (applications in parentheses).

Mortgage Company & Address Empower Federal Credit Union
1 Member Way
Syracuse, NY 13212
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 4,046
Total Mortgage Loan Application Amount $314,724,000
Average Mortgage Loan Application Amount $77,786
Highest Mortgage Loan Application Amount $1,160,000
Average Applicant Income $65,881
Highest Applicant Income $1,199,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Empower Federal Credit Union filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Empower Federal Credit Union by Metropolitan Area in 2015

Metro Area Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loan Applications Average Mortgage Loan Application Amount Average Applicant Income
Syracuse, NY 2,446 $ 174,980,000 $ 71,537 $ 67,000
Buffalo-Cheektowaga-Niagara Falls, NY 82 $ 3,820,000 $ 46,585 $ 58,000
Binghamton, NY 71 $ 3,716,000 $ 52,338 $ 56,000
Utica-Rome, NY 67 $ 3,979,000 $ 59,388 $ 73,000
Elmira, NY 56 $ 1,661,000 $ 29,660 $ 52,000
Rochester, NY 23 $ 1,350,000 $ 58,695 $ 63,000
Watertown-Fort Drum, NY 19 $ 2,016,000 $ 106,105 $ 99,000
Raleigh, NC 8 $ 822,000 $ 102,750 $ 57,000
New York-Jersey City-White Plains, NY-NJ 7 $ 1,662,000 $ 237,428 $ 98,000
Albany-Schenectady-Troy, NY 5 $ 907,000 $ 181,400 $ 314,000
Charlotte-Concord-Gastonia, NC-SC 5 $ 614,000 $ 122,800 $ 77,000
Deltona-Daytona Beach-Ormond Beach, FL 5 $ 682,000 $ 136,400 $ 70,000
Tampa-St. Petersburg-Clearwater, FL 5 $ 314,000 $ 62,800 $ 120,000
Atlanta-Sandy Springs-Roswell, GA 4 $ 29,000 $ 7,250 $ 53,000
Fort Lauderdale-Pompano Beach-Deerfield Beach, FL 4 $ 430,000 $ 107,500 $ 78,000
North Port-Sarasota-Bradenton, FL 4 $ 317,000 $ 79,250 $ 70,000
Cape Coral-Fort Myers, FL 3 $ 727,000 $ 242,333 $ 198,000
Ocala, FL 3 $ 215,000 $ 71,666 $ 48,000
Orlando-Kissimmee-Sanford, FL 3 $ 189,000 $ 63,000 $ 53,000
West Palm Beach-Boca Raton-Delray Beach, FL 3 $ 355,000 $ 118,333 $ 120,000
Ithaca, NY 2 $ 175,000 $ 87,500 $ 34,000
Lakeland-Winter Haven, FL 2 $ 205,000 $ 102,500 $ 58,000
Naples-Immokalee-Marco Island, FL 2 $ 230,000 $ 115,000 $ 193,000
Port St. Lucie, FL 2 $ 231,000 $ 115,500 $ 85,000
Cambridge-Newton-Framingham, MA 1 $ 3,000 $ 3,000 $ 47,000
Charlottesville, VA 1 $ 9,000 $ 9,000 $ 48,000
Chicago-Naperville-Arlington Heights, IL 1 $ 1,000 $ 1,000 $ 38,000
Cleveland-Elyria, OH 1 $ 6,000 $ 6,000 $ 46,000
Durham-Chapel Hill, NC 1 $ 100,000 $ 100,000 $ 145,000
Erie, PA 1 $ 50,000 $ 50,000 $ 60,000
Glens Falls, NY 1 $ 45,000 $ 45,000 $ 51,000
Greensboro-High Point, NC 1 $ 79,000 $ 79,000 $ 166,000
Hickory-Lenoir-Morganton, NC 1 $ 5,000 $ 5,000 $ 36,000
Kingston, NY 1 $ 56,000 $ 56,000 $ 98,000
Minneapolis-St. Paul-Bloomington, MN-WI 1 $ 26,000 $ 26,000 $ 96,000
Myrtle Beach-Conway-North Myrtle Beach, SC-NC 1 $ 3,000 $ 3,000 $ 37,000
Newark, NJ-PA 1 $ 40,000 $ 40,000 $ 63,000
Norwich-New London, CT 1 $ 63,000 $ 63,000 $ 83,000
Oakland-Hayward-Berkeley, CA 1 $ 10,000 $ 10,000 $ 108,000
Palm Bay-Melbourne-Titusville, FL 1 $ 45,000 $ 45,000 $ 71,000
Punta Gorda, FL 1 $ 200,000 $ 200,000 $ 55,000
Scranton--Wilkes-Barre--Hazleton, PA 1 $ 54,000 $ 54,000 $ 25,000
The Villages, FL 1 $ 33,000 $ 33,000 $ 47,000

Mortgage Loan Application Detail Totals for Empower Federal Credit Union 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 1,974 $211,099,000 $106,000 $1,000,000 $66,000 $1,199,000
Home Improvement 1,137 $14,603,000 $12,000 $150,000 $59,000 $576,000
Refinancing 935 $89,022,000 $95,000 $1,160,000 $74,000 $616,000

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 3,334 $259,491,000 $77,000 $417,000 $68,000 $1,199,000
Not Provided 265 $25,028,000 $94,000 $550,000 $71,000 $536,000
Black or African American 264 $11,706,000 $44,000 $379,000 $46,000 $150,000
Hispanic 96 $5,522,000 $57,000 $230,000 $50,000 $220,000
Asian 35 $2,826,000 $80,000 $164,000 $44,000 $245,000
American Indian or Alaskan Native 26 $1,937,000 $74,000 $333,000 $65,000 $141,000
Not applicable 25 $8,055,000 $322,000 $1,160,000 $0 $0
Native Hawaiian or Other Pacific Islander 1 $159,000 $159,000 $159,000 $36,000 $36,000

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) 4,046 $314,724,000 $77,000 $1,160,000 $66,000 $1,199,000
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 2,221 $147,993,000 $66,000 $1,160,000 $68,000 $616,000
Application Withdrawn By Applicant 866 $86,879,000 $100,000 $550,000 $73,000 $1,199,000
Application Denied By Financial Institution 624 $41,368,000 $66,000 $336,000 $47,000 $381,000
File Closed For Incompleteness 318 $37,011,000 $116,000 $379,000 $73,000 $488,000
Application Approved But Not Accepted 17 $1,473,000 $86,000 $151,000 $57,000 $130,000
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
Mortgage Insurance Denied 228 $19,879,000 $87,000 $240,000 $44,000 $159,000
Credit History 137 $4,870,000 $35,000 $208,000 $53,000 $220,000
Other 107 $6,055,000 $56,000 $250,000 $44,000 $130,000
Debt-To-Income Ratio 79 $6,090,000 $77,000 $336,000 $45,000 $225,000
Collateral 33 $1,840,000 $55,000 $240,000 $63,000 $165,000
Insufficient Cash (Downpayment, Closing Cost) 22 $1,350,000 $61,000 $220,000 $43,000 $136,000
Employment History 13 $889,000 $68,000 $198,000 $20,000 $43,000
Unverifiable Information 4 $270,000 $67,000 $96,000 $39,000 $60,000
Credit Application Incomplete 1 $125,000 $125,000 $125,000 $381,000 $381,000

Our comprehensive HMDA mortgage statistics provide invaluable insights into Empower Federal Credit Union'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 Empower Federal Credit Union'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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