Maspeth Federal Savings and Loan Association Mortgage Lending & HMDA Data, 2014

In 2014, Maspeth Federal Savings and Loan Association of Maspeth, NY reported 298 mortgage applications totaling $146.3 million, down 22% from 2013. The average application was for $490,963, and applicants reported an average income of $205,104. 69% of its applications resulted in an originated loan and 24% were denied. Its largest markets were New York-Jersey City-White Plains, NY-NJ (260) and Nassau County-Suffolk County, NY (38).

Mortgage Company & Address Maspeth Federal Savings and Loan Association
56-05 69th Street
Maspeth, NY 11378
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 298
Total Mortgage Loan Application Amount $146,307,000
Average Mortgage Loan Application Amount $490,963
Highest Mortgage Loan Application Amount $2,760,000
Average Applicant Income $205,104
Highest Applicant Income $1,449,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Maspeth Federal Savings and Loan Association filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Maspeth Federal Savings and Loan Association by County in 2014

County Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loans Applications Average Mortgage Loan Application Amount Average Applicant Income
Queens, New York 172 $ 77,761,000 $ 452,098 $ 165,000
Kings, New York 70 $ 42,473,000 $ 606,757 $ 169,000
Nassau, New York 32 $ 15,989,000 $ 499,656 $ 426,000
New York, New York 11 $ 5,830,000 $ 530,000 $ 436,000
Suffolk, New York 6 $ 2,014,000 $ 335,666 $ 267,000
Bronx, New York 2 $ 642,000 $ 321,000 $ 23,000
Richmond, New York 2 $ 480,000 $ 240,000 $ 130,000
Westchester, New York 2 $ 638,000 $ 319,000 $ 53,000
Rockland, New York 1 $ 480,000 $ 480,000 $ 384,000

Mortgage Loan Application Detail Totals for Maspeth Federal Savings and Loan Association in 2014

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 187 $94,618,000 $505,000 $2,760,000 $212,000 $1,449,000
Home Purchase 108 $50,389,000 $466,000 $1,575,000 $193,000 $1,285,000
Home Improvement 3 $1,300,000 $433,000 $769,000 $211,000 $420,000

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
Not applicable 149 $78,181,000 $524,000 $2,050,000 $190,000 $1,449,000
White 106 $47,835,000 $451,000 $1,575,000 $243,000 $1,224,000
Asian 32 $15,424,000 $482,000 $2,760,000 $171,000 $1,213,000
Hispanic 7 $2,723,000 $389,000 $525,000 $68,000 $173,000
Not Provided 2 $1,130,000 $565,000 $650,000 $358,000 $384,000
American Indian or Alaskan Native 1 $500,000 $500,000 $500,000 $264,000 $264,000
Black or African American 1 $514,000 $514,000 $514,000 $82,000 $82,000
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) 298 $146,307,000 $490,000 $2,760,000 $205,000 $1,449,000
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 205 $99,578,000 $485,000 $2,760,000 $226,000 $1,449,000
Application Denied By Financial Institution 72 $37,820,000 $525,000 $1,200,000 $160,000 $1,285,000
Application Approved But Not Accepted 12 $4,834,000 $402,000 $650,000 $76,000 $308,000
Application Withdrawn By Applicant 9 $4,075,000 $452,000 $750,000 $250,000 $840,000
File Closed For Incompleteness 0 $0 $0 $0 $0 $0
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
Credit History 23 $12,971,000 $563,000 $1,050,000 $150,000 $554,000
Collateral 16 $8,335,000 $520,000 $900,000 $246,000 $1,285,000
Debt-To-Income Ratio 14 $7,166,000 $511,000 $1,200,000 $106,000 $338,000
Other 12 $6,341,000 $528,000 $950,000 $157,000 $964,000
Credit Application Incomplete 5 $2,242,000 $448,000 $995,000 $97,000 $227,000
Employment History 2 $765,000 $382,000 $465,000 $114,000 $151,000
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

Our comprehensive HMDA mortgage statistics provide invaluable insights into Maspeth Federal Savings and Loan Association's 2014 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 Maspeth Federal Savings and 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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