Power Financial Credit Union Mortgage Lending & HMDA Data, 2016
In 2016, Power Financial Credit Union of Pembroke Pines, FL reported 300 mortgage applications totaling $80.8 million, down 39% from 2015. The average application was for $269,210, and applicants reported an average income of $123,113. 29% of its applications resulted in an originated loan and 7% were denied. Its largest markets were Miami-Miami Beach-Kendall, FL (77), Fort Lauderdale-Pompano Beach-Deerfield Beach, FL (16) and West Palm Beach-Boca Raton-Delray Beach, FL (11) (applications in parentheses).
| Mortgage Company & Address | Power Financial Credit Union 2020 Nw 150th Ave Pembroke Pines, FL 33028 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 | 300 |
| Total Mortgage Loan Application Amount | $80,763,000 |
| Average Mortgage Loan Application Amount | $269,210 |
| Highest Mortgage Loan Application Amount | $4,200,000 |
| Average Applicant Income | $123,113 |
| Highest Applicant Income | $1,388,000 |
About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Power Financial Credit Union filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans.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 Power Financial 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 |
|---|---|---|---|---|---|---|
| Home Purchase | 220 | $50,276,000 | $228,000 | $1,246,000 | $103,000 | $700,000 |
| Refinancing | 78 | $30,412,000 | $389,000 | $4,200,000 | $180,000 | $1,388,000 |
| Home Improvement | 2 | $75,000 | $37,000 | $60,000 | $117,000 | $180,000 |
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 | 134 | $34,133,000 | $254,000 | $1,246,000 | $114,000 | $1,004,000 |
| White | 83 | $25,634,000 | $308,000 | $1,400,000 | $151,000 | $700,000 |
| Black or African American | 46 | $8,374,000 | $182,000 | $564,000 | $86,000 | $296,000 |
| Not Provided | 31 | $7,013,000 | $226,000 | $560,000 | $101,000 | $216,000 |
| Asian | 4 | $5,181,000 | $1,295,000 | $4,200,000 | $462,000 | $1,388,000 |
| American Indian or Alaskan Native | 1 | $315,000 | $315,000 | $315,000 | $0 | $0 |
| Native Hawaiin or Other Pacific Islander | 1 | $113,000 | $113,000 | $113,000 | $43,000 | $43,000 |
| 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) | 300 | $80,763,000 | $269,000 | $4,200,000 | $123,000 | $1,388,000 |
| 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 |
|---|---|---|---|---|---|---|
| Preapproval Denied by Financial Institution | 188 | $36,190,000 | $192,000 | $600,000 | $86,000 | $296,000 |
| Loan Originated | 86 | $39,695,000 | $461,000 | $4,200,000 | $211,000 | $1,388,000 |
| Application Denied By Financial Institution | 20 | $3,933,000 | $196,000 | $417,000 | $91,000 | $225,000 |
| File Closed For Incompleteness | 6 | $945,000 | $157,000 | $294,000 | $124,000 | $180,000 |
| Application Approved But Not Accepted | 0 | $0 | $0 | $0 | $0 | $0 |
| Application Withdrawn By Applicant | 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 |
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 | 100 | $19,310,000 | $193,000 | $564,000 | $95,000 | $296,000 |
| Debt-To-Income Ratio | 60 | $10,606,000 | $176,000 | $560,000 | $56,000 | $216,000 |
| Other | 35 | $7,378,000 | $210,000 | $600,000 | $108,000 | $213,000 |
| Collateral | 3 | $337,000 | $112,000 | $143,000 | $74,000 | $95,000 |
| Unverifiable Information | 2 | $416,000 | $208,000 | $256,000 | $85,000 | $105,000 |
| Employment History | 2 | $654,000 | $327,000 | $384,000 | $162,000 | $225,000 |
| Insufficient Cash (Downpayment, Closing Cost) | 0 | $0 | $0 | $0 | $0 | $0 |
| Mortgage Insurance Denied | 0 | $0 | $0 | $0 | $0 | $0 |
| Credit Application Incomplete | 0 | $0 | $0 | $0 | $0 | $0 |
Our comprehensive HMDA mortgage statistics provide invaluable insights into Power Financial 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 Power Financial 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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