Conservation Employees Credit Union Mortgage Lending & HMDA Data, 2010

In 2010, Conservation Employees Credit Union of Jefferson City, MO reported 33 mortgage applications totaling $3.3 million, down 40% from 2009. The average application was for $101,242, and applicants reported an average income of $73,000. 67% of its applications resulted in an originated loan and 9% were denied. Its largest markets were Jefferson City, MO (8) and Springfield, MO (1).

Mortgage Company & Address Conservation Employees Credit Union
P.O. Box 180
Jefferson City, MO 65102
Tel #: available with data download
Federal Regulator * available with data download
Years 2019  2018  2017  2016  2015  2014  2013  2012  2011  2010  2009  2008  2007  2006  2005  2004  
Total Number of Mortgage Applications 33
Total Mortgage Loan Application Amount $3,341,000
Average Mortgage Loan Application Amount $101,242
Highest Mortgage Loan Application Amount $200,000
Average Applicant Income $73,000
Highest Applicant Income $190,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Conservation Employees Credit Union filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Conservation Employees Credit Union by County in 2010

County Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loans Applications Average Mortgage Loan Application Amount Average Applicant Income
Cole, Missouri 4 $ 328,000 $ 82,000 $ 108,000
Callaway, Missouri 2 $ 95,000 $ 47,500 $ 44,000
Dent, Missouri 2 $ 237,000 $ 118,500 $ 56,000
Osage, Missouri 2 $ 258,000 $ 129,000 $ 76,000
Shannon, Missouri 2 $ 281,000 $ 140,500 $ 66,000
Wayne, Missouri 2 $ 250,000 $ 125,000 $ 81,000
Adair, Missouri 1 $ 144,000 $ 144,000 $ 58,000
Benton, Missouri 1 $ 97,000 $ 97,000 $ 28,000
Cedar, Missouri 1 $ 115,000 $ 115,000 $ 126,000
Cooper, Missouri 1 $ 122,000 $ 122,000 $ 40,000
Gasconade, Missouri 1 $ 190,000 $ 190,000 $ 149,000
Linn, Missouri 1 $ 85,000 $ 85,000 $ 52,000
Mercer, Missouri 1 $ 200,000 $ 200,000 $ 92,000
Nodaway, Missouri 1 $ 105,000 $ 105,000 $ 112,000
Phelps, Missouri 1 $ 127,000 $ 127,000 $ 33,000
Polk, Missouri 1 $ 152,000 $ 152,000 $ 133,000
Putnam, Missouri 1 $ 55,000 $ 55,000 $ 37,000
Reynolds, Missouri 1 $ 68,000 $ 68,000 $ 91,000
Scotland, Missouri 1 $ 152,000 $ 152,000 $ 147,000
Stoddard, Missouri 1 $ 11,000 $ 11,000 $ 81,000
Texas, Missouri 1 $ 70,000 $ 70,000 $ 31,000

Mortgage Loan Application Detail Totals for Conservation Employees Credit Union in 2010

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 22 $1,920,000 $87,000 $190,000 $74,000 $190,000
Refinancing 8 $1,076,000 $134,000 $200,000 $68,000 $100,000
Home Improvement 3 $345,000 $115,000 $128,000 $79,000 $109,000

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 32 $3,171,000 $99,000 $200,000 $72,000 $190,000
Not Provided 1 $170,000 $170,000 $170,000 $100,000 $100,000
American Indian or Alaskan Native 0 $0 $0 $0 $0 $0
Asian 0 $0 $0 $0 $0 $0
Black or African American 0 $0 $0 $0 $0 $0
Hispanic 0 $0 $0 $0 $0 $0
Native Hawaiian or Other Pacific Islander 0 $0 $0 $0 $0 $0
Not applicable 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) 33 $3,341,000 $101,000 $200,000 $73,000 $190,000
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 22 $2,588,000 $117,000 $200,000 $81,000 $190,000
Preapproval Denied by Financial Institution 4 $199,000 $49,000 $70,000 $31,000 $73,000
Application Approved But Not Accepted 4 $340,000 $85,000 $170,000 $66,000 $100,000
Application Denied By Financial Institution 3 $214,000 $71,000 $128,000 $75,000 $109,000
Application Withdrawn By Applicant 0 $0 $0 $0 $0 $0
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

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 3 $169,000 $56,000 $75,000 $45,000 $73,000
Debt-To-Income Ratio 3 $233,000 $77,000 $128,000 $45,000 $109,000
Collateral 1 $11,000 $11,000 $11,000 $81,000 $81,000
Credit Application Incomplete 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
Other 0 $0 $0 $0 $0 $0
Unverifiable Information 0 $0 $0 $0 $0 $0

Our comprehensive HMDA mortgage statistics provide invaluable insights into Conservation Employees Credit Union's 2010 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 Conservation Employees 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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