Healthcare Associates Credit Union Mortgage Lending & HMDA Data, 2016
In 2016, Healthcare Associates Credit Union of Naperville, IL reported 359 mortgage applications totaling $36.4 million, up 7% from 2015. The average application was for $101,493, and applicants reported an average income of $98,142. 48% of its applications resulted in an originated loan and 33% were denied. Its largest markets were Chicago-Naperville-Arlington Heights, IL (295), Elgin, IL (13) and Lake County-Kenosha County, IL-WI (11) (applications in parentheses).
| Mortgage Company & Address | Healthcare Associates Credit Union 1151 E Warrenville Rd Naperville, IL 60563 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 | 359 |
| Total Mortgage Loan Application Amount | $36,436,000 |
| Average Mortgage Loan Application Amount | $101,493 |
| Highest Mortgage Loan Application Amount | $610,000 |
| Average Applicant Income | $98,142 |
| Highest Applicant Income | $540,000 |
About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Healthcare Associates Credit Union filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Detail Totals for Healthcare Associates Credit Union in 2016
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 | 220 | $25,750,000 | $117,000 | $610,000 | $100,000 | $470,000 |
| Home Improvement | 91 | $3,320,000 | $36,000 | $160,000 | $99,000 | $540,000 |
| Home Purchase | 48 | $7,366,000 | $153,000 | $362,000 | $88,000 | $230,000 |
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 |
|---|---|---|---|---|---|---|
| Not Provided | 208 | $15,675,000 | $75,000 | $610,000 | $96,000 | $540,000 |
| White | 95 | $14,155,000 | $149,000 | $362,000 | $102,000 | $252,000 |
| Black or African American | 23 | $2,764,000 | $120,000 | $260,000 | $95,000 | $333,000 |
| Hispanic | 17 | $1,838,000 | $108,000 | $292,000 | $92,000 | $180,000 |
| Asian | 13 | $1,274,000 | $98,000 | $225,000 | $101,000 | $394,000 |
| Native Hawaiin or Other Pacific Islander | 2 | $580,000 | $290,000 | $350,000 | $131,000 | $160,000 |
| American Indian or Alaskan Native | 1 | $150,000 | $150,000 | $150,000 | $130,000 | $130,000 |
| 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) | 347 | $34,280,000 | $98,000 | $610,000 | $99,000 | $540,000 |
| FHA-insured (Federal Housing Administration) | 12 | $2,156,000 | $179,000 | $279,000 | $61,000 | $109,000 |
| 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 | 173 | $16,123,000 | $93,000 | $362,000 | $113,000 | $540,000 |
| Application Denied By Financial Institution | 120 | $13,444,000 | $112,000 | $350,000 | $76,000 | $252,000 |
| Application Withdrawn By Applicant | 48 | $4,422,000 | $92,000 | $610,000 | $99,000 | $470,000 |
| File Closed For Incompleteness | 16 | $2,155,000 | $134,000 | $255,000 | $102,000 | $148,000 |
| Application Approved But Not Accepted | 2 | $292,000 | $146,000 | $176,000 | $75,000 | $91,000 |
| 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 |
|---|---|---|---|---|---|---|
| Collateral | 42 | $5,261,000 | $125,000 | $350,000 | $79,000 | $160,000 |
| Debt-To-Income Ratio | 41 | $4,131,000 | $100,000 | $290,000 | $75,000 | $237,000 |
| Other | 15 | $2,542,000 | $169,000 | $318,000 | $79,000 | $252,000 |
| Credit History | 14 | $701,000 | $50,000 | $114,000 | $65,000 | $168,000 |
| Employment History | 2 | $72,000 | $36,000 | $47,000 | $31,000 | $38,000 |
| Credit Application Incomplete | 1 | $29,000 | $29,000 | $29,000 | $48,000 | $48,000 |
| Unverifiable Information | 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 Healthcare Associates Credit Union's 2016 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 Healthcare Associates 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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