Service 1st Federal Credit Uni Mortgage Lending & HMDA Data, 2016

In 2016, Service 1st Federal Credit Uni of Danville, PA reported 629 mortgage applications totaling $51.9 million, up 12% from 2015. The average application was for $82,527, and applicants reported an average income of $84,893. 85% of its applications resulted in an originated loan and 11% were denied. Its largest markets were Bloomsburg-Berwick, PA (202), Scranton--Wilkes-Barre--Hazleton, PA (66) and Williamsport, PA (54) (applications in parentheses).

Mortgage Company & Address Service 1st Federal Credit Uni
1985 Montour Blvd Po Box 159
Danville, PA 17821
Tel #: available with data download
Federal Regulator * available with data download
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Total Number of Mortgage Applications 629
Total Mortgage Loan Application Amount $51,910,000
Average Mortgage Loan Application Amount $82,527
Highest Mortgage Loan Application Amount $378,000
Average Applicant Income $84,893
Highest Applicant Income $720,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Service 1st Federal Credit Uni filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Service 1st Federal Credit Uni by Metropolitan Area in 2016

Metro Area Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loan Applications Average Mortgage Loan Application Amount Average Applicant Income
Bloomsburg-Berwick, PA 202 $ 18,669,000 $ 92,420 $ 87,000
Scranton--Wilkes-Barre--Hazleton, PA 66 $ 4,964,000 $ 75,212 $ 113,000
Williamsport, PA 54 $ 2,901,000 $ 53,722 $ 78,000
State College, PA 4 $ 285,000 $ 71,250 $ 87,000
East Stroudsburg, PA 3 $ 218,000 $ 72,666 $ 36,000
Harrisburg-Carlisle, PA 2 $ 73,000 $ 36,500 $ 117,000
Montgomery County-Bucks County-Chester County, PA 2 $ 82,000 $ 41,000 $ 215,000
Tampa-St. Petersburg-Clearwater, FL 2 $ 163,000 $ 81,500 $ 220,000
Allentown-Bethlehem-Easton, PA-NJ 1 $ 66,000 $ 66,000 $ 141,000
Altoona, PA 1 $ 83,000 $ 83,000 $ 80,000
Johnstown, PA 1 $ 25,000 $ 25,000 $ 39,000
Lakeland-Winter Haven, FL 1 $ 369,000 $ 369,000 $ 198,000
Orlando-Kissimmee-Sanford, FL 1 $ 1,000 $ 1,000 $ 16,000
Salisbury, MD-DE 1 $ 268,000 $ 268,000 $ 182,000
Washington-Arlington-Alexandria, DC-VA-MD-WV 1 $ 3,000 $ 3,000 $ 68,000

Mortgage Loan Application Detail Totals for Service 1st Federal Credit Uni in 2016

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 263 $27,403,000 $104,000 $333,000 $86,000 $717,000
Home Improvement 212 $3,856,000 $18,000 $122,000 $74,000 $259,000
Home Purchase 154 $20,651,000 $134,000 $378,000 $98,000 $720,000

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 577 $47,476,000 $82,000 $369,000 $83,000 $720,000
Not Provided 26 $1,309,000 $50,000 $232,000 $58,000 $218,000
Black or African American 7 $389,000 $55,000 $160,000 $97,000 $336,000
Hispanic 7 $931,000 $133,000 $281,000 $247,000 $717,000
Not applicable 6 $880,000 $146,000 $312,000 $64,000 $124,000
Asian 5 $849,000 $169,000 $378,000 $244,000 $484,000
Native Hawaiin or Other Pacific Islander 1 $76,000 $76,000 $76,000 $361,000 $361,000
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) 629 $51,910,000 $82,000 $378,000 $85,000 $720,000
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 533 $46,892,000 $87,000 $378,000 $90,000 $720,000
Application Denied By Financial Institution 70 $2,866,000 $40,000 $316,000 $51,000 $210,000
Application Withdrawn By Applicant 25 $2,149,000 $85,000 $230,000 $89,000 $600,000
File Closed For Incompleteness 1 $3,000 $3,000 $3,000 $51,000 $51,000
Application Approved But Not Accepted 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
Collateral 5 $690,000 $138,000 $316,000 $66,000 $129,000
Debt-To-Income Ratio 3 $355,000 $118,000 $176,000 $46,000 $116,000
Other 2 $168,000 $84,000 $90,000 $101,000 $145,000
Credit Application Incomplete 1 $76,000 $76,000 $76,000 $61,000 $61,000
Credit History 0 $0 $0 $0 $0 $0
Unverifiable Information 0 $0 $0 $0 $0 $0
Employment History 0 $0 $0 $0 $0 $0
Insufficient Cash (Downpayment, Closing Cost) 0 $0 $0 $0 $0 $0
Mortgage Insurance Denied 0 $0 $0 $0 $0 $0

Our comprehensive HMDA mortgage statistics provide invaluable insights into Service 1st Federal Credit Uni's 2016 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 Service 1st Federal Credit Uni'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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