Wallkill Valley Federal Savings & Loan Association Mortgage Lending & HMDA Data, 2021

In 2021, Wallkill Valley Federal Savings & Loan Association of Wallkill, NY reported 246 mortgage applications totaling $77.2 million, down 17% from 2020. The average application was for $313,780, and applicants reported an average income of $165,861. 80% of its applications resulted in an originated loan and 9% were denied. Its largest markets were New York-Newark, NY (118), Kingston, NY (101) and New York-Jersey City-White Plains, NY-NJ (7) (applications in parentheses).

Mortgage Company & Address Wallkill Valley Federal Savings & Loan Association
23 Wallkill Avenue
Wallkill, NY 12589
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  
Total Number of Mortgage Applications 246
Total Mortgage Loan Application Amount $77,190,000
Average Mortgage Loan Application Amount $313,780
Highest Mortgage Loan Application Amount $1,455,000
Average Applicant Income $165,861
Highest Applicant Income $1,792,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Wallkill Valley Federal Savings & Loan Association filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Wallkill Valley Federal Savings & Loan Association by Metropolitan Area in 2021

Metro Area Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loan Applications Average Mortgage Loan Application Amount Average Applicant Income
New York-Newark, NY 118 $ 37,870,000 $ 320,932 $ 143,000
Kingston, NY 101 $ 30,275,000 $ 299,752 $ 161,000
Outside any metro area 19 $ 5,145,000 $ 270,789 $ 238,000
New York-Jersey City-White Plains, NY-NJ 7 $ 2,795,000 $ 399,285 $ 244,000
Glens Falls, NY 1 $ 1,105,000 $ 1,105,000 $ 1,792,000

Mortgage Loan Application Detail Totals for Wallkill Valley Federal Savings & Loan Association 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
Home Purchase 90 $27,300,000 $303,000 $635,000 $141,000 $567,000
Cash-out Refinancing 86 $24,820,000 $288,000 $1,105,000 $183,000 $1,792,000
Refinancing 64 $23,480,000 $366,000 $1,455,000 $179,000 $405,000
Home Improvement 5 $1,515,000 $303,000 $905,000 $165,000 $450,000
Other Purpose 1 $75,000 $75,000 $75,000 $93,000 $93,000
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 146 $43,190,000 $295,000 $1,105,000 $168,000 $1,792,000
Not Provided 45 $13,495,000 $299,000 $545,000 $161,000 $481,000
Not applicable 36 $14,320,000 $397,000 $1,455,000 $0 $0
Asian 9 $2,915,000 $323,000 $455,000 $181,000 $264,000
Hispanic 6 $2,080,000 $346,000 $535,000 $219,000 $567,000
Black or African American 2 $510,000 $255,000 $275,000 $68,000 $68,000
Native Hawaiian or Other Pacific Islander 0 $0 $0 $0 $0 $0
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) 246 $77,190,000 $313,000 $1,455,000 $167,000 $1,792,000
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 198 $62,820,000 $317,000 $1,455,000 $172,000 $1,792,000
Application Denied By Financial Institution 21 $6,495,000 $309,000 $535,000 $100,000 $317,000
Application Approved But Not Accepted 10 $3,240,000 $324,000 $705,000 $194,000 $261,000
File Closed For Incompleteness 9 $2,265,000 $251,000 $475,000 $199,000 $405,000
Application Withdrawn By Applicant 8 $2,370,000 $296,000 $605,000 $169,000 $240,000
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 225 $70,695,000 $314,000 $1,455,000 $174,000 $1,792,000
Debt-To-Income Ratio 9 $2,655,000 $295,000 $525,000 $85,000 $177,000
Collateral 4 $1,300,000 $325,000 $445,000 $88,000 $121,000
Credit History 4 $1,030,000 $257,000 $445,000 $94,000 $167,000
Other 3 $995,000 $331,000 $535,000 $189,000 $317,000
Employment History 1 $515,000 $515,000 $515,000 $116,000 $116,000
Insufficient Cash (Downpayment, Closing Cost) 0 $0 $0 $0 $0 $0
Mortgage Insurance Denied 0 $0 $0 $0 $0 $0
Unverifiable Information 0 $0 $0 $0 $0 $0
Credit Application Incomplete 0 $0 $0 $0 $0 $0

Our comprehensive HMDA mortgage statistics provide invaluable insights into Wallkill Valley Federal Savings & Loan Association'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 Wallkill Valley Federal Savings & Loan Association'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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