Melanie Aguilar Mortgage Lending & HMDA Data, 2005

In 2005, Melanie Aguilar of Sugar Land, TX reported 76 mortgage applications totaling $12.7 million, up 9% from 2004. The average application was for $167,131, and applicants reported an average income of $74,881. 100% of its applications resulted in an originated loan and 0% were denied. Its largest markets were Houston-Baytown-Sugar Land, TX (52), Houma-Bayou Cane-Thibodaux, LA (3) and McAllen-Edinburg-Pharr, TX (3) (applications in parentheses).

Mortgage Company & Address Melanie Aguilar
205 Industrial Blvd
Sugar Land, TX 77478
Tel #: available with data download
Federal Regulator * available with data download
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Total Number of Mortgage Applications 76
Total Mortgage Loan Application Amount $12,702,000
Average Mortgage Loan Application Amount $167,131
Highest Mortgage Loan Application Amount $850,000
Average Applicant Income $74,881
Highest Applicant Income $400,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Melanie Aguilar filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Melanie Aguilar by County in 2005

County Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loans Applications Average Mortgage Loan Application Amount Average Applicant Income
Harris, Texas 25 $ 4,904,000 $ 196,160 $ 73,000
Fort Bend, Texas 23 $ 3,494,000 $ 151,913 $ 79,000
Hidalgo, Texas 3 $ 388,000 $ 129,333 $ 78,000
Lafourche, Louisiana 2 $ 189,000 $ 94,500 $ 43,000
St. Tammany, Louisiana 2 $ 303,000 $ 151,500 $ 57,000
Brazoria, Texas 2 $ 259,000 $ 129,500 $ 66,000
Wharton, Texas 2 $ 252,000 $ 126,000 $ 55,000
Douglas, Colorado 1 $ 525,000 $ 525,000 $ 162,000
Jefferson, Colorado 1 $ 212,000 $ 212,000 $ 83,000
Santa Rosa, Florida 1 $ 72,000 $ 72,000 $ 38,000
Cobb, Georgia 1 $ 99,000 $ 99,000 $ 51,000
Lafayette, Louisiana 1 $ 146,000 $ 146,000 $ 94,000
Sabine, Louisiana 1 $ 110,000 $ 110,000 $ 62,000
Terrebonne, Louisiana 1 $ 185,000 $ 185,000 $ 75,000
Burlington, New Jersey 1 $ 351,000 $ 351,000 $ 95,000
Otero, New Mexico 1 $ 58,000 $ 58,000 $ 100,000
Canadian, Oklahoma 1 $ 101,000 $ 101,000 $ 59,000
Oklahoma, Oklahoma 1 $ 100,000 $ 100,000 $ 50,000
Tulsa, Oklahoma 1 $ 227,000 $ 227,000 $ 75,000
Galveston, Texas 1 $ 173,000 $ 173,000 $ 30,000
Montgomery, Texas 1 $ 266,000 $ 266,000 $ 173,000
Ochiltree, Texas 1 $ 37,000 $ 37,000 $ 49,000
Williamson, Texas 1 $ 123,000 $ 123,000 $ 74,000
Randolph, West Virginia 1 $ 128,000 $ 128,000 $ 77,000

Mortgage Loan Application Detail Totals for Melanie Aguilar in 2005

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 70 $11,984,000 $169,333 $850,000 $75,888 $400,000
Refinancing 6 $718,000 $119,000 $237,000 $57,000 $90,000
Home Improvement 0 $0 $0 $0 $0 $0

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 34 $5,919,000 $157,166 $850,000 $79,000 $400,000
Not Provided 28 $4,827,000 $180,833 $351,000 $72,166 $188,000
Asian 4 $593,000 $148,000 $170,000 $80,000 $87,000
Black or African American 4 $552,000 $138,000 $176,000 $61,000 $81,000
Hispanic 4 $491,000 $122,000 $186,000 $59,000 $70,000
American Indian or Alaskan Native 2 $320,000 $160,000 $186,000 $61,000 $93,000
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) 76 $12,702,000 $168,666 $850,000 $75,555 $400,000
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 76 $12,702,000 $168,666 $850,000 $75,555 $400,000
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
Application Approved But Not Accepted 0 $0 $0 $0 $0 $0
Application Denied By Financial Institution 0 $0 $0 $0 $0 $0
Application Withdrawn By Applicant 0 $0 $0 $0 $0 $0
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 0 $0 $0 $0 $0 $0
Credit Application Incomplete 0 $0 $0 $0 $0 $0
Credit History 0 $0 $0 $0 $0 $0
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
Other 0 $0 $0 $0 $0 $0
Unverifiable Information 0 $0 $0 $0 $0 $0

Our comprehensive HMDA mortgage statistics provide invaluable insights into Melanie Aguilar's 2005 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 Melanie Aguilar'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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