Abbott Laboratories Employees Credit Union Mortgage Lending & HMDA Data, 2025
In 2025, Abbott Laboratories Employees Credit Union of Gurnee, IL reported 647 mortgage applications totaling $156.3 million, up 116% from 2024. The average application was for $241,506, and applicants reported an average income of $219,140. 65% of its applications resulted in an originated loan and 6% were denied. Its largest markets were Lake County-Kenosha County, IL-WI (317), Chicago-Naperville, IL (130) and Kenosha, WI (65) (applications in parentheses).
| Mortgage Company & Address | Abbott Laboratories Employees Credit Union 325 Tri State Pkwy Gurnee, IL 60031 Tel #: available with data download |
| Federal Regulator | * available with data download |
| Years | 2025 2024 2023 2022 2021 2020 |
| Total Number of Mortgage Applications | 647 |
| Total Mortgage Loan Application Amount | $156,255,000 |
| Average Mortgage Loan Application Amount | $241,506 |
| Highest Mortgage Loan Application Amount | $1,575,000 |
| Average Applicant Income | $219,140 |
| Highest Applicant Income | $5,400,000 |
About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Abbott Laboratories Employees Credit Union filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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.
| Metro Area | Total Number of Mortgage Loan Applications | Total Dollar Amount of Mortgage Loan Applications | Average Mortgage Loan Application Amount | Average Applicant Income |
|---|---|---|---|---|
| Lake County-Kenosha County, IL-WI | 317 | $ 65,965,000 | $ 208,091 | $ 206,000 |
| Chicago-Naperville, IL | 130 | $ 32,150,000 | $ 247,307 | $ 239,000 |
| Kenosha, WI | 65 | $ 9,805,000 | $ 150,846 | $ 153,000 |
| Outside any metro area | 28 | $ 8,000,000 | $ 285,714 | $ 388,357 |
| Columbus, OH | 20 | $ 4,280,000 | $ 214,000 | $ 189,000 |
| Racine, WI | 8 | $ 1,280,000 | $ 160,000 | $ 144,000 |
| Minneapolis-St. Paul-Bloomington, MN-WI | 6 | $ 1,130,000 | $ 188,333 | $ 166,000 |
| Cincinnati, OH-KY-IN | 4 | $ 500,000 | $ 125,000 | $ 240,000 |
| Elgin, IL | 4 | $ 900,000 | $ 225,000 | $ 102,000 |
| Milwaukee-Waukesha-West Allis, WI | 4 | $ 1,620,000 | $ 405,000 | $ 335,000 |
| Phoenix-Mesa-Scottsdale, AZ | 4 | $ 3,210,000 | $ 802,500 | $ 254,000 |
| North Port-Sarasota-Bradenton, FL | 3 | $ 1,095,000 | $ 365,000 | $ 231,000 |
| Oakland-Hayward-Berkeley, CA | 3 | $ 3,495,000 | $ 1,165,000 | $ 347,000 |
| Riverside-San Bernardino-Ontario, CA | 3 | $ 805,000 | $ 268,333 | $ 193,000 |
| Anaheim-Santa Ana-Irvine, CA | 2 | $ 1,610,000 | $ 805,000 | $ 194,000 |
| Boston, MA | 2 | $ 1,340,000 | $ 670,000 | $ 310,000 |
| Lake County-Porter County-Jasper County, IN | 2 | $ 500,000 | $ 250,000 | $ 255,000 |
| Portland-South Portland, ME | 2 | $ 790,000 | $ 395,000 | $ 122,000 |
| Rockford, IL | 2 | $ 170,000 | $ 85,000 | $ 183,000 |
| Spokane-Spokane Valley, WA | 2 | $ 740,000 | $ 370,000 | $ 110,000 |
| Worcester, MA-CT | 2 | $ 1,000,000 | $ 500,000 | $ 311,000 |
| Austin-Round Rock, TX | 1 | $ 675,000 | $ 675,000 | $ 446,000 |
| Cambridge-Newton-Framingham, MA | 1 | $ 425,000 | $ 425,000 | $ 208,000 |
| Cape Coral-Fort Myers, FL | 1 | $ 55,000 | $ 55,000 | $ 42,000 |
| Charleston-North Charleston, SC | 1 | $ 255,000 | $ 255,000 | $ 190,000 |
| Dallas-Plano-Irving, TX | 1 | $ 625,000 | $ 625,000 | $ 455,000 |
| Davenport-Moline-Rock Island, IA-IL | 1 | $ 115,000 | $ 115,000 | $ 168,000 |
| Eau Claire, WI | 1 | $ 145,000 | $ 145,000 | $ 77,000 |
| Fort Collins, CO | 1 | $ 375,000 | $ 375,000 | $ 119,000 |
| Green Bay, WI | 1 | $ 45,000 | $ 45,000 | $ 141,000 |
| Houston-The Woodlands-Sugar Land, TX | 1 | $ 285,000 | $ 285,000 | $ 123,000 |
| Indianapolis-Carmel-Anderson, IN | 1 | $ 505,000 | $ 505,000 | $ 173,000 |
| Janesville-Beloit, WI | 1 | $ 195,000 | $ 195,000 | $ 212,000 |
| Kingsport-Bristol-Bristol, TN-VA | 1 | $ 485,000 | $ 485,000 | $ 260,000 |
| Lafayette, LA | 1 | $ 105,000 | $ 105,000 | $ 111,000 |
| Lakewood-New Brunswick, NJ | 1 | $ 625,000 | $ 625,000 | $ 240,000 |
| Louisville/Jefferson County, KY-IN | 1 | $ 235,000 | $ 235,000 | $ 102,000 |
| Madison, WI | 1 | $ 455,000 | $ 455,000 | $ 180,000 |
| Miami-Miami Beach-Kendall, FL | 1 | $ 555,000 | $ 555,000 | $ 212,000 |
| Montgomery County-Bucks County-Chester County, PA | 1 | $ 585,000 | $ 585,000 | $ 552,000 |
| Nashville-Davidson--Murfreesboro--Franklin, TN | 1 | $ 1,185,000 | $ 1,185,000 | $ 668,000 |
| Omaha-Council Bluffs, NE-IA | 1 | $ 1,575,000 | $ 1,575,000 | $ 573,000 |
| Orlando-Kissimmee-Sanford, FL | 1 | $ 315,000 | $ 315,000 | $ 116,000 |
| Oshkosh-Neenah, WI | 1 | $ 375,000 | $ 375,000 | $ 314,000 |
| Peoria, IL | 1 | $ 465,000 | $ 465,000 | $ 166,000 |
| Pinehurst-Southern Pines, NC | 1 | $ 1,465,000 | $ 1,465,000 | $ 1,225,000 |
| Providence-Warwick, RI-MA | 1 | $ 545,000 | $ 545,000 | $ 272,000 |
| San Antonio-New Braunfels, TX | 1 | $ 155,000 | $ 155,000 | $ 72,000 |
| San Diego-Carlsbad, CA | 1 | $ 575,000 | $ 575,000 | $ 152,000 |
| San Rafael, CA | 1 | $ 295,000 | $ 295,000 | $ 444,000 |
| Sheboygan, WI | 1 | $ 725,000 | $ 725,000 | $ 465,000 |
| Springfield, IL | 1 | $ 85,000 | $ 85,000 | $ 105,000 |
| State College, PA | 1 | $ 505,000 | $ 505,000 | $ 336,000 |
| Tampa, FL | 1 | $ 555,000 | $ 555,000 | $ 450,000 |
| Wildwood-The Villages, FL | 1 | $ 305,000 | $ 305,000 | $ 252,000 |
Mortgage Loan Application Detail Totals for Abbott Laboratories Employees Credit Union in 2025
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 Improvement | 208 | $25,990,000 | $124,000 | $655,000 | $209,000 | $949,000 |
| Other Purpose | 166 | $25,150,000 | $151,000 | $1,205,000 | $210,000 | $5,400,000 |
| Home Purchase | 143 | $68,645,000 | $480,000 | $1,405,000 | $242,000 | $739,000 |
| Refinancing | 112 | $32,200,000 | $287,000 | $1,575,000 | $232,000 | $1,225,000 |
| Cash-out Refinancing | 18 | $4,270,000 | $237,000 | $505,000 | $159,000 | $260,000 |
| Not Applicable | 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 | 442 | $103,030,000 | $233,000 | $1,575,000 | $231,000 | $5,400,000 |
| Asian | 85 | $25,905,000 | $304,000 | $1,575,000 | $211,000 | $500,000 |
| Hispanic | 49 | $11,655,000 | $237,000 | $735,000 | $175,000 | $513,000 |
| Black or African American | 39 | $8,095,000 | $207,000 | $1,375,000 | $193,000 | $739,000 |
| Not Provided | 29 | $7,175,000 | $247,000 | $995,000 | $174,000 | $455,000 |
| American Indian or Alaskan Native | 1 | $45,000 | $45,000 | $45,000 | $92,000 | $92,000 |
| Native Hawaiian or Other Pacific Islander | 1 | $115,000 | $115,000 | $115,000 | $168,000 | $168,000 |
| 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) | 647 | $156,255,000 | $241,000 | $1,575,000 | $219,000 | $5,400,000 |
| 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 | 423 | $100,175,000 | $236,000 | $1,575,000 | $222,000 | $966,000 |
| Application Withdrawn By Applicant | 183 | $47,835,000 | $261,000 | $1,465,000 | $222,000 | $5,400,000 |
| Application Denied By Financial Institution | 41 | $8,245,000 | $201,000 | $1,575,000 | $175,000 | $840,000 |
| Application Approved But Not Accepted | 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 |
| Preapproval Denied by Financial 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 |
|---|---|---|---|---|---|---|
| Debt-To-Income Ratio | 647 | $156,255,000 | $241,000 | $1,575,000 | $219,000 | $5,400,000 |
| 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 |
| Not applicable | 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 |
| Credit History | 0 | $0 | $0 | $0 | $0 | $0 |
Our comprehensive HMDA mortgage statistics provide invaluable insights into Abbott Laboratories Employees Credit Union's 2025 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 Abbott Laboratories 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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