Nexstar Financial Corporation Mortgage Lending & HMDA Data, 2004
In 2004, Nexstar Financial Corporation of St. Charles, MO reported 22,511 mortgage applications totaling $2.9 billion, down 29% from 2003. The average application was for $129,516, and applicants reported an average income of $65,714. 49% of its applications resulted in an originated loan and 32% were denied. Its largest markets were Chicago-Naperville-Joliet, IL (982), Phoenix-Mesa-Scottsdale, AZ (543) and New York-Wayne-White Plains, NY-NJ (441) (applications in parentheses).
| Mortgage Company & Address | Nexstar Financial Corporation 19 Research Park Court St. Charles, MO 63304 Tel #: available with data download |
| Federal Regulator | * available with data download |
| Years | 2004 2003 |
| Total Number of Mortgage Applications | 22,511 |
| Total Mortgage Loan Application Amount | $2,915,535,000 |
| Average Mortgage Loan Application Amount | $129,516 |
| Highest Mortgage Loan Application Amount | $1,752,000 |
| Average Applicant Income | $65,714 |
| Highest Applicant Income | $1,754,000 |
About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Nexstar Financial Corporation filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Detail Totals for Nexstar Financial Corporation in 2004
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 | 15,723 | $1,893,472,000 | $113,215 | $1,752,000 | $61,862 | $1,754,000 |
| Home Improvement | 3,615 | $463,973,000 | $117,660 | $1,300,000 | $62,940 | $1,300,000 |
| Home Purchase | 3,173 | $558,090,000 | $150,942 | $1,500,000 | $82,442 | $1,500,000 |
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 | 15,087 | $1,931,911,000 | $119,173 | $1,752,000 | $66,230 | $1,754,000 |
| Not Provided | 2,686 | $380,026,000 | $122,096 | $1,300,000 | $69,288 | $1,468,000 |
| Black or African American | 2,467 | $289,294,000 | $106,906 | $1,000,000 | $55,883 | $1,440,000 |
| Hispanic | 1,541 | $204,651,000 | $126,297 | $907,000 | $68,404 | $815,000 |
| Asian | 518 | $83,485,000 | $126,435 | $904,000 | $61,564 | $872,000 |
| American Indian or Alaskan Native | 148 | $15,898,000 | $98,710 | $371,000 | $54,131 | $200,000 |
| Native Hawaiian or Other Pacific Islander | 63 | $10,191,000 | $138,826 | $592,000 | $66,652 | $194,000 |
| Not applicable | 1 | $79,000 | $79,000 | $79,000 | $59,000 | $59,000 |
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) | 22,511 | $2,915,535,000 | $118,115 | $1,752,000 | $64,538 | $1,754,000 |
| 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 | 11,007 | $1,322,460,000 | $114,431 | $1,100,000 | $66,666 | $1,468,000 |
| Application Denied By Financial Institution | 7,253 | $935,908,000 | $120,058 | $1,752,000 | $57,588 | $1,754,000 |
| Application Approved But Not Accepted | 2,253 | $304,028,000 | $119,901 | $1,200,000 | $70,509 | $1,062,000 |
| Preapproval Approved but not Accepted | 973 | $196,776,000 | $202,000 | $1,000,000 | $81,000 | $1,252,000 |
| Preapproval Denied by Financial Institution | 639 | $106,505,000 | $166,000 | $975,000 | $64,000 | $960,000 |
| Loan Purchased By The Institution | 276 | $34,954,000 | $151,736 | $501,000 | $80,947 | $215,000 |
| Application Withdrawn By Applicant | 110 | $14,904,000 | $152,945 | $1,260,000 | $83,243 | $674,000 |
| File Closed For Incompleteness | 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 | 2 | $231,000 | $115,500 | $168,000 | $72,500 | $74,000 |
| Other | 1 | $83,000 | $83,000 | $83,000 | $58,000 | $58,000 |
| Credit History | 1 | $560,000 | $560,000 | $560,000 | $119,000 | $119,000 |
| Debt-To-Income Ratio | 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 |
| Unverifiable Information | 0 | $0 | $0 | $0 | $0 | $0 |
| Credit Application Incomplete | 0 | $0 | $0 | $0 | $0 | $0 |
Our comprehensive HMDA mortgage statistics provide invaluable insights into Nexstar Financial Corporation's 2004 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 Nexstar Financial Corporation'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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