In 2025, Evergreen Bank Group of Oak Brook, IL reported 361 mortgage applications totaling $43.2 million, down 56% from 2024. The average application was for $119,764, and applicants reported an average income of $162,243. 48% of its applications resulted in an originated loan and 30% were denied. Its largest markets were Chicago-Naperville, IL (150), Phoenix-Mesa-Scottsdale, AZ (25) and Lake County-Kenosha County, IL-WI (20) (applications in parentheses).
| Mortgage Company & Address | Evergreen Bank Group 1515 22nd St # 100 Oak Brook, IL 60523 Tel #: available with data download |
| Federal Regulator | * available with data download |
| Years | 2025 2024 2023 2022 2019 |
| Total Number of Mortgage Applications | 361 |
| Total Mortgage Loan Application Amount | $43,235,000 |
| Average Mortgage Loan Application Amount | $119,764 |
| Highest Mortgage Loan Application Amount | $2,505,000 |
| Average Applicant Income | $162,243 |
| Highest Applicant Income | $1,865,000 |
About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Evergreen Bank Group filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 |
|---|---|---|---|---|
| Chicago-Naperville, IL | 150 | $ 22,460,000 | $ 149,733 | $ 247,000 |
| Phoenix-Mesa-Scottsdale, AZ | 25 | $ 2,525,000 | $ 101,000 | $ 83,000 |
| Lake County-Kenosha County, IL-WI | 20 | $ 1,980,000 | $ 99,000 | $ 257,000 |
| Outside any metro area | 18 | $ 2,050,000 | $ 113,888 | $ 119,055 |
| Kiryas Joel-Poughkeepsie-Newburgh, NY | 12 | $ 1,580,000 | $ 131,666 | $ 81,000 |
| Warren-Troy-Farmington Hills, MI | 12 | $ 890,000 | $ 74,166 | $ 71,000 |
| Lakewood-New Brunswick, NJ | 11 | $ 1,215,000 | $ 110,454 | $ 78,000 |
| Montgomery County-Bucks County-Chester County, PA | 10 | $ 1,180,000 | $ 118,000 | $ 88,000 |
| Elgin, IL | 8 | $ 700,000 | $ 87,500 | $ 160,000 |
| Tucson, AZ | 7 | $ 365,000 | $ 52,142 | $ 56,000 |
| Lancaster, PA | 5 | $ 565,000 | $ 113,000 | $ 92,000 |
| Prescott Valley-Prescott, AZ | 5 | $ 465,000 | $ 93,000 | $ 63,000 |
| Grand Rapids-Wyoming, MI | 4 | $ 320,000 | $ 80,000 | $ 51,000 |
| Orlando-Kissimmee-Sanford, FL | 4 | $ 420,000 | $ 105,000 | $ 97,000 |
| Albany-Schenectady-Troy, NY | 3 | $ 235,000 | $ 78,333 | $ 77,000 |
| Ann Arbor, MI | 3 | $ 385,000 | $ 128,333 | $ 80,000 |
| Buffalo-Cheektowaga-Niagara Falls, NY | 3 | $ 265,000 | $ 88,333 | $ 54,000 |
| Detroit-Dearborn-Livonia, MI | 3 | $ 335,000 | $ 111,666 | $ 88,000 |
| Nassau County-Suffolk County, NY | 3 | $ 615,000 | $ 205,000 | $ 73,000 |
| Wilmington, DE-MD-NJ | 3 | $ 355,000 | $ 118,333 | $ 70,000 |
| Atlantic City-Hammonton, NJ | 2 | $ 150,000 | $ 75,000 | $ 39,000 |
| Cleveland, OH | 2 | $ 180,000 | $ 90,000 | $ 70,000 |
| Lakeland-Winter Haven, FL | 2 | $ 150,000 | $ 75,000 | $ 100,000 |
| Lansing-East Lansing, MI | 2 | $ 230,000 | $ 115,000 | $ 108,000 |
| Monroe, MI | 2 | $ 70,000 | $ 35,000 | $ 42,000 |
| Reading, PA | 2 | $ 240,000 | $ 120,000 | $ 82,000 |
| Rochester, NY | 2 | $ 110,000 | $ 55,000 | $ 46,000 |
| Tampa, FL | 2 | $ 120,000 | $ 60,000 | $ 99,000 |
| Utica-Rome, NY | 2 | $ 110,000 | $ 55,000 | $ 74,000 |
| Baltimore-Columbia-Towson, MD | 1 | $ 125,000 | $ 125,000 | $ 74,000 |
| Boise City, ID | 1 | $ 75,000 | $ 75,000 | $ 55,000 |
| Camden, NJ | 1 | $ 75,000 | $ 75,000 | $ 55,000 |
| Columbus, OH | 1 | $ 65,000 | $ 65,000 | $ 46,000 |
| Dayton-Springfield-Kettering, OH | 1 | $ 35,000 | $ 35,000 | $ 108,000 |
| Elkhart-Goshen, IN | 1 | $ 85,000 | $ 85,000 | $ 104,000 |
| Everett, WA | 1 | $ 185,000 | $ 185,000 | $ 169,000 |
| Fort Collins, CO | 1 | $ 75,000 | $ 75,000 | $ 50,000 |
| Fort Wayne, IN | 1 | $ 55,000 | $ 55,000 | $ 51,000 |
| Fort Worth-Arlington, TX | 1 | $ 135,000 | $ 135,000 | $ 129,000 |
| Hartford-West Hartford-East Hartford, CT | 1 | $ 95,000 | $ 95,000 | $ 78,000 |
| Kankakee, IL | 1 | $ 105,000 | $ 105,000 | $ 292,000 |
| Kingston, NY | 1 | $ 75,000 | $ 75,000 | $ 42,000 |
| Lake County-Porter County-Jasper County, IN | 1 | $ 55,000 | $ 55,000 | $ 71,000 |
| Lewiston-Auburn, ME | 1 | $ 115,000 | $ 115,000 | $ 98,000 |
| Miami-Miami Beach-Kendall, FL | 1 | $ 95,000 | $ 95,000 | $ 52,000 |
| New York-Jersey City-White Plains, NY-NJ | 1 | $ 85,000 | $ 85,000 | $ 51,000 |
| Newark, NJ-PA | 1 | $ 115,000 | $ 115,000 | $ 116,000 |
| Norwich-New London, CT | 1 | $ 65,000 | $ 65,000 | $ 58,000 |
| Ocala, FL | 1 | $ 35,000 | $ 35,000 | $ 54,000 |
| Olympia-Tumwater, WA | 1 | $ 115,000 | $ 115,000 | $ 65,000 |
| Portland-South Portland, ME | 1 | $ 65,000 | $ 65,000 | $ 62,000 |
| Portland-Vancouver-Hillsboro, OR-WA | 1 | $ 75,000 | $ 75,000 | $ 55,000 |
| Rockford, IL | 1 | $ 115,000 | $ 115,000 | $ 202,000 |
| Rockingham County-Strafford County, NH | 1 | $ 195,000 | $ 195,000 | $ 150,000 |
| Salem, OR | 1 | $ 35,000 | $ 35,000 | $ 41,000 |
| Sebastian-Vero Beach, FL | 1 | $ 95,000 | $ 95,000 | $ 127,000 |
| South Bend-Mishawaka, IN-MI | 1 | $ 55,000 | $ 55,000 | $ 58,000 |
| Traverse City, MI | 1 | $ 65,000 | $ 65,000 | $ 47,000 |
| Twin Falls, ID | 1 | $ 95,000 | $ 95,000 | $ 62,000 |
| Vineland-Bridgeton, NJ | 1 | $ 45,000 | $ 45,000 | $ 39,000 |
| Waterbury-Shelton, CT | 1 | $ 65,000 | $ 65,000 | $ 41,000 |
| Yakima, WA | 1 | $ 125,000 | $ 125,000 | $ 141,000 |
| Yuma, AZ | 1 | $ 75,000 | $ 75,000 | $ 102,000 |
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 | 161 | $16,185,000 | $100,000 | $275,000 | $82,000 | $371,000 |
| Other Purpose | 79 | $9,925,000 | $125,000 | $505,000 | $220,000 | $896,000 |
| Home Improvement | 71 | $8,425,000 | $118,000 | $505,000 | $256,000 | $1,865,000 |
| Refinancing | 34 | $7,430,000 | $218,000 | $2,505,000 | $258,000 | $792,000 |
| Cash-out Refinancing | 16 | $1,270,000 | $79,000 | $185,000 | $65,000 | $169,000 |
| 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 | 265 | $28,455,000 | $107,000 | $505,000 | $156,000 | $1,865,000 |
| Not Provided | 39 | $5,265,000 | $135,000 | $455,000 | $176,000 | $792,000 |
| Hispanic | 34 | $3,330,000 | $97,000 | $175,000 | $174,000 | $601,000 |
| Black or African American | 11 | $1,935,000 | $175,000 | $505,000 | $209,000 | $544,000 |
| Asian | 10 | $1,590,000 | $159,000 | $255,000 | $180,000 | $313,000 |
| American Indian or Alaskan Native | 1 | $155,000 | $155,000 | $155,000 | $75,000 | $75,000 |
| Not applicable | 1 | $2,505,000 | $2,505,000 | $2,505,000 | $0 | $0 |
| Native Hawaiian or Other Pacific Islander | 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) | 361 | $43,235,000 | $119,000 | $2,505,000 | $162,000 | $1,865,000 |
| 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 | 175 | $23,595,000 | $134,000 | $2,505,000 | $213,000 | $1,865,000 |
| Application Denied By Financial Institution | 108 | $11,290,000 | $104,000 | $505,000 | $107,000 | $490,000 |
| File Closed For Incompleteness | 61 | $5,625,000 | $92,000 | $225,000 | $98,000 | $601,000 |
| Application Withdrawn By Applicant | 9 | $1,155,000 | $128,000 | $195,000 | $169,000 | $748,000 |
| Application Approved But Not Accepted | 8 | $1,570,000 | $196,000 | $505,000 | $265,000 | $840,000 |
| 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 |
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 | 358 | $42,850,000 | $119,000 | $2,505,000 | $161,000 | $1,865,000 |
| Not applicable | 3 | $385,000 | $128,000 | $175,000 | $244,000 | $489,000 |
| 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 |
| 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 |
Our comprehensive HMDA mortgage statistics provide invaluable insights into Evergreen Bank Group'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 Evergreen Bank Group'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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