Los Angeles Police FCU Mortgage Lending & HMDA Data, 2017

In 2017, Los Angeles Police FCU of Van Nuys, CA reported 706 mortgage applications totaling $180.9 million, down 31% from 2016. The average application was for $256,243, and applicants reported an average income of $123,485. 49% of its applications resulted in an originated loan and 13% were denied. Its largest markets were Los Angeles-Long Beach-Glendale, CA (402), Riverside-San Bernardino-Ontario, CA (101) and Anaheim-Santa Ana-Irvine, CA (45) (applications in parentheses).

Mortgage Company & Address Los Angeles Police FCU
16150 Sherman Way
Van Nuys, CA 91406
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 706
Total Mortgage Loan Application Amount $180,908,000
Average Mortgage Loan Application Amount $256,243
Highest Mortgage Loan Application Amount $1,300,000
Average Applicant Income $123,485
Highest Applicant Income $814,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Los Angeles Police FCU filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Los Angeles Police FCU by Metropolitan Area in 2017

Metro Area Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loan Applications Average Mortgage Loan Application Amount Average Applicant Income
Los Angeles-Long Beach-Glendale, CA 402 $ 103,914,000 $ 258,492 $ 118,000
Riverside-San Bernardino-Ontario, CA 101 $ 26,572,000 $ 263,089 $ 144,000
Anaheim-Santa Ana-Irvine, CA 45 $ 13,307,000 $ 295,711 $ 128,000
Oxnard-Thousand Oaks-Ventura, CA 36 $ 11,278,000 $ 313,277 $ 137,000
Las Vegas-Henderson-Paradise, NV 16 $ 2,695,000 $ 168,437 $ 90,000
Bakersfield, CA 11 $ 2,310,000 $ 210,000 $ 97,000
Lake Havasu City-Kingman, AZ 10 $ 1,483,000 $ 148,300 $ 133,000
Sacramento--Roseville--Arden-Arcade, CA 5 $ 1,029,000 $ 205,800 $ 110,000
Coeur D'Alene, ID 4 $ 905,000 $ 226,250 $ 203,000
Phoenix-Mesa-Scottsdale, AZ 4 $ 1,093,000 $ 273,250 $ 266,000
San Diego-Carlsbad, CA 4 $ 1,528,000 $ 382,000 $ 114,000
Portland-Vancouver-Hillsboro, OR-WA 3 $ 913,000 $ 304,333 $ 174,000
Prescott, AZ 3 $ 805,000 $ 268,333 $ 96,000
Salisbury, MD-DE 3 $ 542,000 $ 180,666 $ 108,000
Atlanta-Sandy Springs-Roswell, GA 2 $ 322,000 $ 161,000 $ 115,000
Bend-Redmond, OR 2 $ 230,000 $ 115,000 $ 82,000
Boise City, ID 2 $ 692,000 $ 346,000 $ 120,000
Fort Collins, CO 2 $ 372,000 $ 186,000 $ 118,000
Madera, CA 2 $ 234,000 $ 117,000 $ 118,000
Myrtle Beach-Conway-North Myrtle Beach, SC-NC 2 $ 474,000 $ 237,000 $ 80,000
Salt Lake City, UT 2 $ 357,000 $ 178,500 $ 95,000
Tucson, AZ 2 $ 353,000 $ 176,500 $ 85,000
College Station-Bryan, TX 1 $ 140,000 $ 140,000 $ 105,000
Columbus, OH 1 $ 110,000 $ 110,000 $ 124,000
Denver-Aurora-Lakewood, CO 1 $ 30,000 $ 30,000 $ 169,000
Fort Worth-Arlington, TX 1 $ 424,000 $ 424,000 $ 113,000
Fresno, CA 1 $ 305,000 $ 305,000 $ 59,000
Grants Pass, OR 1 $ 150,000 $ 150,000 $ 56,000
Houston-The Woodlands-Sugar Land, TX 1 $ 87,000 $ 87,000 $ 46,000
Kansas City, MO-KS 1 $ 300,000 $ 300,000 $ 130,000
McAllen-Edinburg-Mission, TX 1 $ 104,000 $ 104,000 $ 154,000
Nashville-Davidson--Murfreesboro--Franklin, TN 1 $ 180,000 $ 180,000 $ 95,000
Oakland-Hayward-Berkeley, CA 1 $ 75,000 $ 75,000 $ 297,000
Oklahoma City, OK 1 $ 97,000 $ 97,000 $ 44,000
Olympia-Tumwater, WA 1 $ 203,000 $ 203,000 $ 144,000
Omaha-Council Bluffs, NE-IA 1 $ 352,000 $ 352,000 $ 163,000
Pensacola-Ferry Pass-Brent, FL 1 $ 69,000 $ 69,000 $ 19,000
Redding, CA 1 $ 35,000 $ 35,000 $ 103,000
Salinas, CA 1 $ 434,000 $ 434,000 $ 89,000
San Luis Obispo-Paso Robles-Arroyo Grande, CA 1 $ 259,000 $ 259,000 $ 104,000
Santa Maria-Santa Barbara, CA 1 $ 320,000 $ 320,000 $ 88,000
Santa Rosa, CA 1 $ 115,000 $ 115,000 $ 112,000
Spokane-Spokane Valley, WA 1 $ 555,000 $ 555,000 $ 249,000
St. George, UT 1 $ 291,000 $ 291,000 $ 90,000
Stockton-Lodi, CA 1 $ 220,000 $ 220,000 $ 135,000
Tampa-St. Petersburg-Clearwater, FL 1 $ 122,000 $ 122,000 $ 54,000
Yakima, WA 1 $ 285,000 $ 285,000 $ 278,000

Mortgage Loan Application Detail Totals for Los Angeles Police FCU 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
Refinancing 325 $94,253,000 $290,000 $1,300,000 $124,000 $814,000
Home Improvement 237 $40,571,000 $171,000 $636,000 $117,000 $384,000
Home Purchase 144 $46,084,000 $320,000 $735,000 $133,000 $568,000

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
Hispanic 229 $56,036,000 $244,000 $702,000 $124,000 $345,000
White 224 $56,218,000 $250,000 $1,300,000 $126,000 $814,000
Not Provided 129 $36,513,000 $283,000 $946,000 $126,000 $568,000
Black or African American 83 $19,723,000 $237,000 $600,000 $109,000 $384,000
Asian 31 $9,939,000 $320,000 $636,000 $133,000 $253,000
American Indian or Alaskan Native 6 $1,298,000 $216,000 $436,000 $100,000 $287,000
Native Hawaiian or Other Pacific Islander 4 $1,181,000 $295,000 $526,000 $146,000 $244,000
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) 706 $180,908,000 $256,000 $1,300,000 $124,000 $814,000
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 348 $81,055,000 $232,000 $749,000 $119,000 $568,000
Application Approved But Not Accepted 134 $43,023,000 $321,000 $1,300,000 $132,000 $500,000
Application Withdrawn By Applicant 129 $36,483,000 $282,000 $656,000 $135,000 $814,000
Application Denied By Financial Institution 91 $18,666,000 $205,000 $946,000 $111,000 $384,000
Preapproval Approved but not Accepted 2 $1,246,000 $623,000 $631,000 $176,000 $235,000
Preapproval Denied by Financial Institution 1 $310,000 $310,000 $310,000 $46,000 $46,000
File Closed For Incompleteness 1 $125,000 $125,000 $125,000 $35,000 $35,000
Loan Purchased By The 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
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 Los Angeles Police FCU'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 Los Angeles Police FCU'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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