Maspeth Federal Savings and Loan Association Mortgage Lending & HMDA Data, 2013

In 2013, Maspeth Federal Savings and Loan Association of Maspeth, NY reported 382 mortgage applications totaling $191.8 million, up 20% from 2012. The average application was for $502,170, and applicants reported an average income of $106,418. 67% of its applications resulted in an originated loan and 26% were denied. Its largest markets were New York-White Plains-Wayne, NY-NJ (335) and Nassau-Suffolk, NY (47).

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 382
Total Mortgage Loan Application Amount $191,829,000
Average Mortgage Loan Application Amount $502,170
Highest Mortgage Loan Application Amount $4,750,000
Average Applicant Income $106,418
Highest Applicant Income $2,500,000

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Federal Savings and Loan Association filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 2013

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 206 $ 102,988,000 $ 499,941 $ 72,000
Kings, New York 88 $ 48,693,000 $ 553,329 $ 97,000
Nassau, New York 34 $ 16,510,000 $ 485,588 $ 131,000
New York, New York 19 $ 10,730,000 $ 564,736 $ 395,000
Suffolk, New York 13 $ 4,251,000 $ 327,000 $ 150,000
Bronx, New York 10 $ 4,261,000 $ 426,100 $ 190,000
Richmond, New York 6 $ 1,927,000 $ 321,166 $ 73,000
Rockland, New York 3 $ 1,273,000 $ 424,333 $ 230,000
Westchester, New York 3 $ 1,196,000 $ 398,666 $ 169,000

Mortgage Loan Application Detail Totals for Maspeth Federal Savings and Loan Association in 2013

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 262 $144,964,000 $553,000 $4,750,000 $91,000 $1,138,000
Home Purchase 118 $46,851,000 $397,000 $975,000 $141,000 $2,500,000
Home Improvement 2 $14,000 $7,000 $7,000 $86,000 $95,000

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 223 $125,905,000 $564,000 $4,750,000 $71,000 $2,500,000
White 109 $45,140,000 $414,000 $940,000 $141,000 $857,000
Asian 25 $10,281,000 $411,000 $800,000 $186,000 $958,000
Hispanic 11 $3,654,000 $332,000 $480,000 $242,000 $916,000
Not Provided 9 $4,560,000 $506,000 $650,000 $163,000 $343,000
Black or African American 4 $1,290,000 $322,000 $485,000 $116,000 $145,000
Native Hawaiian or Other Pacific Islander 1 $999,000 $999,000 $999,000 $340,000 $340,000
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) 382 $191,829,000 $502,000 $4,750,000 $107,000 $2,500,000
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 255 $134,583,000 $527,000 $4,750,000 $120,000 $2,500,000
Application Denied By Financial Institution 99 $43,833,000 $442,000 $999,000 $79,000 $864,000
Application Withdrawn By Applicant 13 $6,284,000 $483,000 $1,000,000 $99,000 $810,000
Application Approved But Not Accepted 13 $5,812,000 $447,000 $780,000 $89,000 $317,000
File Closed For Incompleteness 2 $1,317,000 $658,000 $960,000 $3,000 $7,000
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
Collateral 33 $15,568,000 $471,000 $850,000 $53,000 $242,000
Credit History 25 $11,611,000 $464,000 $999,000 $74,000 $266,000
Other 18 $8,107,000 $450,000 $850,000 $79,000 $316,000
Debt-To-Income Ratio 17 $6,431,000 $378,000 $650,000 $133,000 $864,000
Credit Application Incomplete 5 $1,901,000 $380,000 $650,000 $93,000 $282,000
Employment History 1 $215,000 $215,000 $215,000 $70,000 $70,000
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 2013 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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