Source: Public Records Aggregators · Commercial Data Providers · Consumer Data Sources Our search returned 1 contact record for Mike Hones in Connecticut. The most recent address on file is in Orange, Connecticut. Of these records, 1 include phone numbers. Records are compiled from government agencies and commercial data sources. Data accuracy varies by source.
Source: State Secretary of State · SEC EDGAR · LinkedIn Professional Data · Business Registries 15 business affiliations were found for Mike Hones. Companies include Perkiomen Valley Middle School, Internet Services Plaza. Roles listed include Kung Fu Master and Chairman. Records are compiled from state business registries, SEC filings, and professional networking databases.
Sole Proprietorship
May 22, 2021
$29,235
1
5822209000
Small
Sole Proprietorship
May 29, 2021
$2,880
1
9758329004
Small
Sole Proprietorship
Apr 17, 2021
$15,930
1
5064518809
Small
Sole Proprietorship
Apr 26, 2021
$20,944
1
1571888909
Small
Sole Proprietorship
Apr 26, 2021
$8,796
1
1722728905
Small
Source: SBA PPP Loan Data · CARES Act Public Disclosures 5 PPP loan records are linked to businesses associated with Mike Hones. These Paycheck Protection Program loans were part of the 2020-2021 CARES Act pandemic relief and were released by the SBA under FOIA.
This information is compiled from publicly available records and may include data for multiple individuals with similar names. Data may contain inaccuracies or be incomplete. This information should not be used for employment screening, tenant screening, credit decisions, or any purpose covered by the Fair Credit Reporting Act (FCRA). Always verify information independently before making any decisions.
The population of the US is 340,110,988 people (estimated July 1, 2024). There are at least 18 records for Mike Hones in our database alone. People with the same last name and sometimes even full name can become a real headache to search — for example, Martha Moore is found in our records 1,260 times.
The name "Hones" appears with moderate frequency. Consider using additional filters like location or age.
Names are often misspelled due to phonetic similarities, OCR errors, or typos. Here are common spelling variations you might want to check when searching:
Tip: Double-check documents for these common spelling errors, especially in historical records.
The same person can appear under different names in public records. Quite often, people use short versions of their name (i.e. Mel vs. Melissa), sometimes they use their name's international variations (Daniel/Deniel). It is quite rare but still happens that a person can be found being listed under a completely different name.
| Alter Name * | Full Name | Persons Count ? | Share ? |
|---|---|---|---|
| Mary | Mary Hones | 17 | 4.07% |
| Robert | Robert Hones | 12 | 2.87% |
| Michael | Michael Hones | 11 | 2.63% |
| Edward | Edward Hones | 11 | 2.63% |
| William | William Hones | 9 | 2.15% |
| Daniel | Daniel Hones | 8 | 1.91% |
| Susan | Susan Hones | 8 | 1.91% |
| Deborah | Deborah Hones | 6 | 1.44% |
| Helen | Helen Hones | 6 | 1.44% |
| John | John Hones | 6 | 1.44% |
Foreign surnames can be transliterated and even translated (e.g. Long vs. Lang). Sometimes names in public records are misspelled due to silly typos and OCR errors. For example, Tinker could be listed as Pinker. Make sure to check as many variants as possible.
| Alter Last Name | Full Name | Persons Count ? | Share ? |
|---|---|---|---|
| Smith | Mike Smith | 4,466 | 0.84% |
| Johnson | Mike Johnson | 3,548 | 0.67% |
| Jones | Mike Jones | 2,913 | 0.55% |
| Miller | Mike Miller | 2,589 | 0.49% |
| Williams | Mike Williams | 2,454 | 0.46% |
| Brown | Mike Brown | 2,375 | 0.45% |
| Davis | Mike Davis | 2,168 | 0.41% |
| Wilson | Mike Wilson | 1,792 | 0.34% |
| Anderson | Mike Anderson | 1,503 | 0.28% |
| Thomas | Mike Thomas | 1,376 | 0.26% |
This page aggregates publicly available records from government agencies, court systems, and official registries into a single report for Mike Hones. Because public records are indexed by name rather than by a unique identifier, the 21 results displayed here may include information belonging to multiple individuals who share the same name — a common occurrence, especially for frequently appearing names. To determine which records belong to the person you are researching, compare the location, approximate age, and any associated details across entries. Records that share an address or overlapping timeframe are more likely to refer to the same individual.
Business records are compiled from state Secretary of State filings, SEC EDGAR corporate disclosures, and professional networking data. When a person appears as an officer, director, or registered agent, it reflects a formal role filed with a government agency — these are legal positions of responsibility, not informal job titles. Records sourced from professional profiles represent information that individuals have chosen to make publicly available about their career history, skills, and affiliations. Business entity registrations show current or historical standing with the state, but a listing does not guarantee the entity is still actively operating.
Public records may contain outdated information, data entry errors, or records that belong to a different person who shares the same name as the individual you are researching. Government agencies update their records on varying schedules, and the data shown here may not reflect the most recent changes. Information on this page is provided for informational purposes only and should not be used for employment screening, tenant screening, credit decisions, or any other purpose regulated by the Fair Credit Reporting Act (FCRA). Always verify critical details through the originating government agency or official registry.
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21 public records across 3states. There are 1 distinct profiles in the results. Using the state filter or checking age and address details will help identify the correct individual.
Records are moderately distributed across 3 states. Highest concentration: Georgia (24%), followed by Connecticut and Pennsylvania. Spans the South and Northeast regions.
Data spans 3 record categories. Largest: Business & Corporate Filings (71%), which reveal professional roles and employer history. Also includes PPP Loan Records (5) and Contact & Address Records (1).