Magnifi Financial Credit Union Mortgage Lending & HMDA Data, 2016

In 2016, Magnifi Financial Credit Union of Melrose, MN reported 1,274 mortgage applications totaling $193.0 million, up 15% from 2015. The average application was for $151,482, and applicants reported an average income of $114,602. 68% of its applications resulted in an originated loan and 11% were denied. Its largest markets were St. Cloud, MN (624), Minneapolis-St. Paul-Bloomington, MN-WI (99) and Fargo, ND-MN (65) (applications in parentheses).

Mortgage Company & Address Magnifi Financial Credit Union
20 4th Ave Se
Melrose, MN 56352
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 1,274
Total Mortgage Loan Application Amount $192,989,000
Average Mortgage Loan Application Amount $151,482
Highest Mortgage Loan Application Amount $3,600,000
Average Applicant Income $114,602
Highest Applicant Income $1,500,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Magnifi Financial Credit Union filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Magnifi Financial Credit Union 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
St. Cloud, MN 624 $ 95,430,000 $ 152,932 $ 75,000
Minneapolis-St. Paul-Bloomington, MN-WI 99 $ 18,285,000 $ 184,696 $ 91,000
Fargo, ND-MN 65 $ 15,615,000 $ 240,230 $ 904,615
Duluth, MN-WI 3 $ 252,000 $ 84,000 $ 85,000
Charlotte-Concord-Gastonia, NC-SC 2 $ 350,000 $ 175,000 $ 28,000
Rochester, MN 2 $ 255,000 $ 127,500 $ 29,000
Colorado Springs, CO 1 $ 249,000 $ 249,000 $ 106,000
Grand Forks, ND-MN 1 $ 55,000 $ 55,000 $ 40,000
Mankato-North Mankato, MN 1 $ 192,000 $ 192,000 $ 92,000
Vallejo-Fairfield, CA 1 $ 365,000 $ 365,000 $ 76,000

Mortgage Loan Application Detail Totals for Magnifi Financial Credit Union 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
Home Purchase 674 $102,230,000 $151,000 $1,421,000 $69,000 $549,000
Refinancing 567 $87,026,000 $153,000 $3,600,000 $171,000 $1,500,000
Home Improvement 33 $3,733,000 $113,000 $1,500,000 $77,000 $169,000

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 1,178 $179,313,000 $152,000 $3,600,000 $120,000 $1,500,000
Not Provided 43 $5,961,000 $138,000 $365,000 $84,000 $269,000
Hispanic 25 $2,483,000 $99,000 $220,000 $51,000 $136,000
Not applicable 16 $3,382,000 $211,000 $1,200,000 $0 $0
Asian 4 $761,000 $190,000 $417,000 $90,000 $165,000
Black or African American 4 $630,000 $157,000 $250,000 $46,000 $85,000
American Indian or Alaskan Native 3 $266,000 $88,000 $187,000 $26,000 $70,000
Native Hawaiin or Other Pacific Islander 1 $193,000 $193,000 $193,000 $108,000 $108,000

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) 1,188 $183,032,000 $154,000 $3,600,000 $120,000 $1,500,000
FSA/RHS (Farm Service Agency or Rural Housing Service) 80 $9,300,000 $116,000 $206,000 $45,000 $108,000
FHA-insured (Federal Housing Administration) 6 $657,000 $109,000 $178,000 $45,000 $88,000
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 862 $136,496,000 $158,000 $3,600,000 $139,000 $1,500,000
Application Withdrawn By Applicant 138 $19,256,000 $139,000 $550,000 $74,000 $549,000
Application Denied By Financial Institution 136 $15,856,000 $116,000 $365,000 $48,000 $205,000
Application Approved But Not Accepted 127 $19,639,000 $154,000 $435,000 $71,000 $269,000
File Closed For Incompleteness 11 $1,742,000 $158,000 $250,000 $81,000 $282,000
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
Debt-To-Income Ratio 5 $739,000 $147,000 $200,000 $53,000 $89,000
Employment History 1 $120,000 $120,000 $120,000 $28,000 $28,000
Credit History 1 $140,000 $140,000 $140,000 $63,000 $63,000
Collateral 0 $0 $0 $0 $0 $0
Credit Application Incomplete 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
Other 0 $0 $0 $0 $0 $0
Unverifiable Information 0 $0 $0 $0 $0 $0

Our comprehensive HMDA mortgage statistics provide invaluable insights into Magnifi Financial Credit Union'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 Magnifi Financial 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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