Campus Federal Credit Union Mortgage Lending & HMDA Data, 2017

In 2017, Campus Federal Credit Union of Baton Rouge, LA reported 605 mortgage applications totaling $45.6 million, up 8% from 2016. The average application was for $75,342, and applicants reported an average income of $99,609. 68% of its applications resulted in an originated loan and 22% were denied. Its largest markets were Baton Rouge, LA (331), Shreveport-Bossier City, LA (113) and New Orleans-Metairie, LA (103) (applications in parentheses).

Mortgage Company & Address Campus Federal Credit Union
6230 Perkins Road
Baton Rouge, LA 70808
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  2010  2009  2008  2007  2006  2005  2004  2003  
Total Number of Mortgage Applications 605
Total Mortgage Loan Application Amount $45,582,000
Average Mortgage Loan Application Amount $75,342
Highest Mortgage Loan Application Amount $1,160,000
Average Applicant Income $99,609
Highest Applicant Income $2,000,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Campus Federal Credit Union filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Campus Federal Credit Union by County in 2017

County Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loans Applications Average Mortgage Loan Application Amount Average Applicant Income
East Baton Rouge, Louisiana 240 $ 23,378,000 $ 97,408 $ 113,000
Caddo, Louisiana 90 $ 5,273,000 $ 58,588 $ 89,000
Orleans, Louisiana 55 $ 3,981,000 $ 72,381 $ 90,000
Ascension, Louisiana 37 $ 3,168,000 $ 85,621 $ 105,000
Jefferson, Louisiana 27 $ 2,368,000 $ 87,703 $ 117,000
Livingston, Louisiana 25 $ 1,325,000 $ 53,000 $ 93,000
Bossier, Louisiana 15 $ 561,000 $ 37,400 $ 73,000
West Baton Rouge, Louisiana 13 $ 1,029,000 $ 79,153 $ 90,000
St. Tammany, Louisiana 11 $ 416,000 $ 37,818 $ 63,000
Iberville, Louisiana 8 $ 51,000 $ 6,375 $ 44,000
Lafayette, Louisiana 6 $ 399,000 $ 66,500 $ 128,000
Webster, Louisiana 6 $ 73,000 $ 12,166 $ 66,000
Pointe Coupee, Louisiana 4 $ 44,000 $ 11,000 $ 99,000
Rapides, Louisiana 4 $ 29,000 $ 7,250 $ 67,000
St. Charles, Louisiana 4 $ 56,000 $ 14,000 $ 119,000
St. Landry, Louisiana 4 $ 97,000 $ 24,250 $ 45,000
Harris, Texas 4 $ 166,000 $ 41,500 $ 65,000
Assumption, Louisiana 3 $ 11,000 $ 3,666 $ 56,000
St. John the Baptist, Louisiana 3 $ 27,000 $ 9,000 $ 67,000
Tangipahoa, Louisiana 3 $ 113,000 $ 37,666 $ 111,000
Chatham, Georgia 2 $ 45,000 $ 22,500 $ 107,000
Calcasieu, Louisiana 2 $ 233,000 $ 116,500 $ 127,000
De Soto, Louisiana 2 $ 20,000 $ 10,000 $ 64,000
East Feliciana, Louisiana 2 $ 21,000 $ 10,500 $ 66,000
Iberia, Louisiana 2 $ 373,000 $ 186,500 $ 177,000
Lincoln, Louisiana 2 $ 321,000 $ 160,500 $ 99,000
Plaquemines, Louisiana 2 $ 571,000 $ 285,500 $ 247,000
St. Martin, Louisiana 2 $ 351,000 $ 175,500 $ 63,000
Union, Louisiana 2 $ 14,000 $ 7,000 $ 115,000
Harrison, Mississippi 2 $ 72,000 $ 36,000 $ 62,000
Harrison, Texas 2 $ 36,000 $ 18,000 $ 135,000
Baldwin, Alabama 1 $ 325,000 $ 325,000 $ 0
Maricopa, Arizona 1 $ 9,000 $ 9,000 $ 75,000
San Bernardino, California 1 $ 8,000 $ 8,000 $ 75,000
Alachua, Florida 1 $ 12,000 $ 12,000 $ 78,000
Pinellas, Florida 1 $ 142,000 $ 142,000 $ 93,000
Sarasota, Florida 1 $ 35,000 $ 35,000 $ 52,000
Gwinnett, Georgia 1 $ 123,000 $ 123,000 $ 85,000
Acadia, Louisiana 1 $ 200,000 $ 200,000 $ 24,000
Avoyelles, Louisiana 1 $ 1,000 $ 1,000 $ 48,000
Grant, Louisiana 1 $ 11,000 $ 11,000 $ 107,000
Natchitoches, Louisiana 1 $ 3,000 $ 3,000 $ 106,000
St. Helena, Louisiana 1 $ 1,000 $ 1,000 $ 68,000
St. James, Louisiana 1 $ 13,000 $ 13,000 $ 43,000
Washington, Louisiana 1 $ 10,000 $ 10,000 $ 94,000
West Feliciana, Louisiana 1 $ 5,000 $ 5,000 $ 39,000
Pearl River, Mississippi 1 $ 22,000 $ 22,000 $ 161,000
Cheatham, Tennessee 1 $ 10,000 $ 10,000 $ 29,000
Fort Bend, Texas 1 $ 6,000 $ 6,000 $ 29,000
Gregg, Texas 1 $ 10,000 $ 10,000 $ 54,000
Panola, Texas 1 $ 8,000 $ 8,000 $ 44,000
Tarrant, Texas 1 $ 6,000 $ 6,000 $ 151,000

Mortgage Loan Application Detail Totals for Campus Federal Credit Union in 2017

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 Improvement 407 $6,957,000 $17,000 $360,000 $80,000 $756,000
Home Purchase 118 $24,798,000 $210,000 $1,160,000 $148,000 $2,000,000
Refinancing 80 $13,827,000 $172,000 $1,140,000 $128,000 $651,000

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 311 $31,047,000 $99,000 $1,160,000 $125,000 $2,000,000
Black or African American 236 $8,729,000 $36,000 $1,140,000 $68,000 $400,000
Not Provided 23 $2,526,000 $109,000 $332,000 $84,000 $200,000
Asian 15 $1,728,000 $115,000 $555,000 $159,000 $756,000
Not applicable 9 $747,000 $83,000 $225,000 $0 $0
Hispanic 7 $707,000 $101,000 $558,000 $89,000 $250,000
American Indian or Alaskan Native 4 $98,000 $24,000 $60,000 $90,000 $112,000
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) 605 $45,582,000 $75,000 $1,160,000 $99,000 $2,000,000
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 412 $32,594,000 $79,000 $1,160,000 $110,000 $2,000,000
Application Denied By Financial Institution 131 $4,437,000 $33,000 $280,000 $60,000 $366,000
Application Withdrawn By Applicant 58 $7,392,000 $127,000 $773,000 $108,000 $465,000
Application Approved But Not Accepted 3 $1,074,000 $358,000 $448,000 $163,000 $207,000
File Closed For Incompleteness 1 $85,000 $85,000 $85,000 $29,000 $29,000
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
Credit History 53 $2,151,000 $40,000 $280,000 $69,000 $366,000
Debt-To-Income Ratio 40 $1,345,000 $33,000 $223,000 $54,000 $280,000
Other 21 $385,000 $18,000 $61,000 $49,000 $95,000
Credit Application Incomplete 7 $326,000 $46,000 $212,000 $79,000 $110,000
Collateral 5 $197,000 $39,000 $71,000 $71,000 $120,000
Unverifiable Information 4 $8,000 $2,000 $4,000 $38,000 $56,000
Insufficient Cash (Downpayment, Closing Cost) 1 $25,000 $25,000 $25,000 $49,000 $49,000
Mortgage Insurance Denied 0 $0 $0 $0 $0 $0
Employment History 0 $0 $0 $0 $0 $0

Our comprehensive HMDA mortgage statistics provide invaluable insights into Campus Federal Credit Union's 2017 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 Campus Federal 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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