Nrl Federal Credit Union Mortgage Lending & HMDA Data, 2009

In 2009, Nrl Federal Credit Union of Alexandria, VA reported 546 mortgage applications totaling $128.8 million, up 70% from 2008. The average application was for $235,952, and applicants reported an average income of $137,177. 85% of its applications resulted in an originated loan and 4% were denied. Its largest markets were Washington-Arlington-Alexandria, DC-VA-MD-WV (319), Baltimore-Towson, MD (53) and Bethesda-Frederick-Rockville, MD (43) (applications in parentheses).

Mortgage Company & Address Nrl Federal Credit Union
5440 Cherokee Ave Suite 200
Alexandria, VA 22312
Tel #: available with data download
Federal Regulator * available with data download
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Total Number of Mortgage Applications 546
Total Mortgage Loan Application Amount $128,830,000
Average Mortgage Loan Application Amount $235,952
Highest Mortgage Loan Application Amount $913,000
Average Applicant Income $137,177
Highest Applicant Income $956,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Nrl Federal Credit Union filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Nrl Federal Credit Union by Metropolitan Area in 2009

Metro Area Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loan Applications Average Mortgage Loan Application Amount Average Applicant Income
Washington-Arlington-Alexandria, DC-VA-MD-WV 319 $ 74,142,000 $ 232,420 $ 130,003
Baltimore-Towson, MD 53 $ 13,703,000 $ 258,547 $ 152,000
Bethesda-Frederick-Rockville, MD 43 $ 11,473,000 $ 266,813 $ 159,000
Richmond, VA 5 $ 1,093,000 $ 218,600 $ 138,000
Philadelphia, PA 4 $ 1,014,000 $ 253,500 $ 107,000
Asheville, NC 3 $ 397,000 $ 132,333 $ 83,000
Cambridge-Newton-Framingham, MA 3 $ 725,000 $ 241,666 $ 186,000
Myrtle Beach-North Myrtle Beach-Conway, SC 3 $ 518,000 $ 172,666 $ 107,000
Pittsburgh, PA 3 $ 645,000 $ 215,000 $ 107,000
Raleigh-Cary, NC 3 $ 570,000 $ 190,000 $ 81,000
Virginia Beach-Norfolk-Newport News, VA-NC 3 $ 1,222,000 $ 407,333 $ 244,000
Wilmington, NC 3 $ 681,000 $ 227,000 $ 130,000
Denver-Aurora-Broomfield, CO 2 $ 428,000 $ 214,000 $ 80,000
Greensboro-High Point, NC 2 $ 331,000 $ 165,500 $ 83,000
Hagerstown-Martinsburg, MD-WV 2 $ 255,000 $ 127,500 $ 140,500
New Orleans-Metairie-Kenner, LA 2 $ 259,000 $ 129,500 $ 110,000
Newark-Union, NJ-PA 2 $ 572,000 $ 286,000 $ 128,000
Orlando-Kissimmee, FL 2 $ 508,000 $ 254,000 $ 168,000
Tampa-St. Petersburg-Clearwater, FL 2 $ 735,000 $ 367,500 $ 298,000
Ames, IA 1 $ 150,000 $ 150,000 $ 192,000
Appleton, WI 1 $ 150,000 $ 150,000 $ 240,000
Barnstable Town, MA 1 $ 125,000 $ 125,000 $ 112,000
Bellingham, WA 1 $ 250,000 $ 250,000 $ 80,000
Boulder, CO 1 $ 231,000 $ 231,000 $ 192,000
Buffalo-Niagara Falls, NY 1 $ 224,000 $ 224,000 $ 200,000
Canton-Massillon, OH 1 $ 60,000 $ 60,000 $ 131,000
Cape Coral-Fort Myers, FL 1 $ 60,000 $ 60,000 $ 139,000
Charleston, WV 1 $ 417,000 $ 417,000 $ 239,000
Charlotte-Gastonia-Concord, NC-SC 1 $ 156,000 $ 156,000 $ 97,000
Cincinnati-Middletown, OH-KY-IN 1 $ 205,000 $ 205,000 $ 164,000
Dayton, OH 1 $ 202,000 $ 202,000 $ 185,000
Deltona-Daytona Beach-Ormond Beach, FL 1 $ 106,000 $ 106,000 $ 80,000
Dover, DE 1 $ 175,000 $ 175,000 $ 85,000
Durham-Chapel Hill, NC 1 $ 350,000 $ 350,000 $ 123,000
Edison-New Brunswick, NJ 1 $ 46,000 $ 46,000 $ 76,000
Harrisonburg, VA 1 $ 250,000 $ 250,000 $ 97,000
Johnstown, PA 1 $ 108,000 $ 108,000 $ 67,000
Lafayette, IN 1 $ 157,000 $ 157,000 $ 116,000
Lafayette, LA 1 $ 152,000 $ 152,000 $ 38,000
Las Vegas-Paradise, NV 1 $ 28,000 $ 28,000 $ 35,000
Lincoln, NE 1 $ 268,000 $ 268,000 $ 192,000
Louisville-Jefferson County, KY-IN 1 $ 109,000 $ 109,000 $ 110,000
Miami-Miami Beach-Kendall, FL 1 $ 190,000 $ 190,000 $ 53,000
Minneapolis-St. Paul-Bloomington, MN-WI 1 $ 55,000 $ 55,000 $ 62,000
New Haven-Milford, CT 1 $ 209,000 $ 209,000 $ 159,000
Oklahoma City, OK 1 $ 297,000 $ 297,000 $ 138,000
Peabody, MA 1 $ 150,000 $ 150,000 $ 117,000
Portland-Vancouver-Beaverton, OR-WA 1 $ 338,000 $ 338,000 $ 84,000
Rochester, NY 1 $ 60,000 $ 60,000 $ 90,000
Salt Lake City, UT 1 $ 570,000 $ 570,000 $ 590,000
Wilmington, DE-MD-NJ 1 $ 400,000 $ 400,000 $ 347,000
Winchester, VA-WV 1 $ 111,000 $ 111,000 $ 77,000

Mortgage Loan Application Detail Totals for Nrl Federal Credit Union in 2009

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 472 $110,279,000 $233,000 $913,000 $134,000 $590,000
Home Purchase 67 $17,208,000 $256,000 $732,000 $160,000 $956,000
Home Improvement 7 $1,343,000 $191,000 $417,000 $133,000 $242,000

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 373 $89,400,000 $239,000 $913,000 $139,000 $590,000
Not Provided 75 $17,711,000 $236,000 $720,000 $155,000 $956,000
Black or African American 47 $10,489,000 $223,000 $513,000 $105,000 $374,000
Asian 28 $6,792,000 $242,000 $732,000 $151,000 $266,000
Hispanic 13 $2,837,000 $218,000 $412,000 $105,000 $296,000
American Indian or Alaskan Native 9 $1,401,000 $155,000 $416,000 $119,000 $215,000
Native Hawaiian or Other Pacific Islander 1 $200,000 $200,000 $200,000 $70,000 $70,000
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) 546 $128,830,000 $235,000 $913,000 $137,000 $956,000
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 462 $106,358,000 $230,000 $913,000 $138,000 $450,000
Application Withdrawn By Applicant 58 $14,838,000 $255,000 $615,000 $134,000 $590,000
Application Denied By Financial Institution 23 $6,846,000 $297,000 $720,000 $149,000 $956,000
File Closed For Incompleteness 2 $438,000 $219,000 $228,000 $87,000 $110,000
Preapproval Denied by Financial Institution 1 $350,000 $350,000 $350,000 $98,000 $98,000
Loan Purchased By The Institution 0 $0 $0 $0 $0 $0
Preapproval Approved but not Accepted 0 $0 $0 $0 $0 $0
Application 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 2 $735,000 $367,000 $525,000 $91,000 $121,000
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
Other 0 $0 $0 $0 $0 $0
Unverifiable Information 0 $0 $0 $0 $0 $0
Collateral 0 $0 $0 $0 $0 $0
Credit Application Incomplete 0 $0 $0 $0 $0 $0

Our comprehensive HMDA mortgage statistics provide invaluable insights into Nrl Federal Credit Union's 2009 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 Nrl 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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