ESL Federal Credit Union Mortgage Lending & HMDA Data, 2021

In 2021, ESL Federal Credit Union of Rochester, NY reported 10,242 mortgage applications totaling $1.1 billion, up 26% from 2020. The average application was for $109,905, and applicants reported an average income of $92,253. 74% of its applications resulted in an originated loan and 13% were denied. Its largest markets were Rochester, NY (9,751), Buffalo-Cheektowaga-Niagara Falls, NY (7) and Syracuse, NY (3) (applications in parentheses).

Mortgage Company & Address ESL Federal Credit Union
225 Chestnut Street
Rochester, NY 14604
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 10,242
Total Mortgage Loan Application Amount $1,125,650,000
Average Mortgage Loan Application Amount $109,905
Highest Mortgage Loan Application Amount $26,005,000
Average Applicant Income $92,253
Highest Applicant Income $3,431,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records ESL Federal Credit Union filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 ESL Federal Credit Union by County in 2021

County Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loans Applications Average Mortgage Loan Application Amount Average Applicant Income
Monroe, New York 7,642 $ 828,340,000 $ 108,393 $ 91,000
Ontario, New York 661 $ 115,615,000 $ 174,909 $ 109,000
Wayne, New York 619 $ 57,945,000 $ 93,610 $ 88,000
Livingston, New York 483 $ 50,715,000 $ 105,000 $ 97,000
Genesee, New York 288 $ 23,750,000 $ 82,465 $ 79,000
Orleans, New York 269 $ 21,955,000 $ 81,617 $ 76,000
Yates, New York 77 $ 10,815,000 $ 140,454 $ 113,000
Wyoming, New York 61 $ 5,305,000 $ 86,967 $ 76,000
Steuben, New York 51 $ 4,955,000 $ 97,156 $ 99,000
Seneca, New York 45 $ 3,875,000 $ 86,111 $ 83,000
Erie, New York 6 $ 380,000 $ 63,333 $ 76,000
Allegany, New York 5 $ 335,000 $ 67,000 $ 61,000
Onondaga, New York 3 $ 395,000 $ 131,666 $ 88,000
DeKalb, Georgia 2 $ 160,000 $ 80,000 $ 1,183,000
Houston, Alabama 1 $ 15,000 $ 15,000 $ 0
Jackson, Arkansas 1 $ 25,000 $ 25,000 $ 59,000
Los Angeles, California 1 $ 5,000 $ 5,000 $ 0
Hillsborough, Florida 1 $ 25,000 $ 25,000 $ 0
White, Georgia 1 $ 15,000 $ 15,000 $ 240,000
Cook, Illinois 1 $ 15,000 $ 15,000 $ 1,440,000
Saline, Kansas 1 $ 15,000 $ 15,000 $ 89,000
Shelby, Kentucky 1 $ 5,000 $ 5,000 $ 15,000
Avoyelles, Louisiana 1 $ 25,000 $ 25,000 $ 0
Bienville, Louisiana 1 $ 35,000 $ 35,000 $ 840,000
Jefferson, Louisiana 1 $ 5,000 $ 5,000 $ 120,000
Clay, Missouri 1 $ 75,000 $ 75,000 $ 468,000
Sussex, New Jersey 1 $ 25,000 $ 25,000 $ 79,000
Cayuga, New York 1 $ 25,000 $ 25,000 $ 0
Chautauqua, New York 1 $ 105,000 $ 105,000 $ 113,000
Chemung, New York 1 $ 25,000 $ 25,000 $ 54,000
Chenango, New York 1 $ 15,000 $ 15,000 $ 48,000
Jefferson, New York 1 $ 105,000 $ 105,000 $ 161,000
Lewis, New York 1 $ 45,000 $ 45,000 $ 0
Niagara, New York 1 $ 35,000 $ 35,000 $ 25,000
Oneida, New York 1 $ 55,000 $ 55,000 $ 116,000
Schenectady, New York 1 $ 55,000 $ 55,000 $ 103,000
Schuyler, New York 1 $ 35,000 $ 35,000 $ 45,000
St. Lawrence, New York 1 $ 115,000 $ 115,000 $ 48,000
Suffolk, New York 1 $ 5,000 $ 5,000 $ 12,000
Lane, Oregon 1 $ 15,000 $ 15,000 $ 0
Multnomah, Oregon 1 $ 25,000 $ 25,000 $ 54,000
Allegheny, Pennsylvania 1 $ 5,000 $ 5,000 $ 17,000
Philadelphia, Pennsylvania 1 $ 155,000 $ 155,000 $ 900,000
Oconee, South Carolina 1 $ 5,000 $ 5,000 $ 18,000

Mortgage Loan Application Detail Totals for ESL Federal Credit Union in 2021

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 3,346 $377,250,000 $112,000 $10,005,000 $87,000 $3,431,000
Other Purpose 2,715 $196,905,000 $72,000 $805,000 $96,000 $2,463,000
Home Improvement 2,006 $136,440,000 $68,000 $5,085,000 $95,000 $1,440,000
Cash-out Refinancing 1,115 $181,375,000 $162,000 $2,945,000 $98,000 $1,234,000
Home Purchase 1,060 $233,680,000 $220,000 $26,005,000 $88,000 $2,184,000
Not Applicable 0 $0 $0 $0 $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
White 8,183 $845,285,000 $103,000 $1,045,000 $94,000 $3,431,000
Not Provided 846 $94,200,000 $111,000 $775,000 $100,000 $2,463,000
Black or African American 600 $41,220,000 $68,000 $465,000 $68,000 $2,184,000
Hispanic 398 $29,040,000 $72,000 $455,000 $69,000 $359,000
Asian 135 $15,915,000 $117,000 $455,000 $87,000 $329,000
American Indian or Alaskan Native 39 $3,715,000 $95,000 $285,000 $91,000 $285,000
Not applicable 33 $95,505,000 $2,894,000 $26,005,000 $0 $0
Native Hawaiian or Other Pacific Islander 7 $705,000 $100,000 $375,000 $83,000 $165,000

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) 10,107 $1,107,445,000 $109,000 $26,005,000 $93,000 $3,431,000
FHA-insured (Federal Housing Administration) 133 $17,905,000 $134,000 $245,000 $59,000 $143,000
VA-guaranteed (Veterans Administration) 2 $300,000 $150,000 $165,000 $65,000 $65,000
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 7,599 $908,195,000 $119,000 $26,005,000 $96,000 $2,463,000
Application Denied By Financial Institution 1,288 $94,390,000 $73,000 $805,000 $66,000 $2,184,000
File Closed For Incompleteness 535 $40,855,000 $76,000 $1,045,000 $97,000 $1,086,000
Application Withdrawn By Applicant 514 $52,230,000 $101,000 $1,035,000 $96,000 $3,431,000
Application Approved But Not Accepted 306 $29,980,000 $97,000 $915,000 $91,000 $470,000
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
Not applicable 8,954 $1,031,260,000 $115,000 $26,005,000 $96,000 $3,431,000
Debt-To-Income Ratio 669 $54,395,000 $81,000 $805,000 $45,000 $328,000
Credit History 359 $21,115,000 $58,000 $305,000 $67,000 $1,234,000
Collateral 182 $12,540,000 $68,000 $385,000 $120,000 $2,184,000
Other 65 $4,495,000 $69,000 $215,000 $116,000 $1,224,000
Unverifiable Information 6 $1,050,000 $175,000 $385,000 $113,000 $509,000
Insufficient Cash (Downpayment, Closing Cost) 5 $625,000 $125,000 $185,000 $65,000 $170,000
Employment History 2 $170,000 $85,000 $105,000 $45,000 $60,000
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 ESL Federal Credit Union's 2021 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 ESL 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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