Source: Public Records Aggregators · Commercial Data Providers · Consumer Data Sources Our search returned 2 contact records for Gus PE across 2 states. The most recent address on file is in Summit, New Jersey. 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 4 business affiliations were found for Gus PE. Companies include Kerners ROW LLC, Kerners Row LLC. Roles listed include Owner and Director. Records are compiled from state business registries, SEC filings, and professional networking databases.
Limited Liability Company(LLC
Apr 14, 2020
$5,118
1
7571417103
Small
501(c)6 – Non Profit Members
Feb 3, 2021
$41,151
3
2007638407
Small
Limited Liability Company(LLC
Apr 13, 2020
$12,951
2
5297297101
Small
Corporation
May 1, 2020
$11,667
5
5974647707
Small
Limited Liability Company(LLC
Jan 28, 2021
$12,920
1
7377778305
Small
Non-Profit Organization
Feb 5, 2021
$15,162
2
4061088408
Small
Source: SBA PPP Loan Data · CARES Act Public Disclosures 6 PPP loan records are linked to businesses associated with Gus PE. 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 12 records for Gus PE 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 "PE" 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 ? |
|---|---|---|---|
| James | James Pe | 31 | 2.25% |
| Benito | Benito Pe | 31 | 2.25% |
| John | John Pe | 28 | 2.03% |
| A | A Pe | 27 | 1.96% |
| William | William Pe | 26 | 1.89% |
| David | David Pe | 24 | 1.74% |
| Robert | Robert Pe | 23 | 1.67% |
| Richard | Richard Pe | 18 | 1.31% |
| Michael | Michael Pe | 17 | 1.23% |
| Maria | Maria Pe | 15 | 1.09% |
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 ? |
|---|---|---|---|
| Pappas | Gus Pappas | 181 | 0.74% |
| Johnson | Gus Johnson | 176 | 0.72% |
| Williams | Gus Williams | 136 | 0.55% |
| Rodriguez | Gus Rodriguez | 124 | 0.50% |
| Garcia | Gus Garcia | 123 | 0.50% |
| Brown | Gus Brown | 116 | 0.47% |
| Jones | Gus Jones | 115 | 0.47% |
| Smith | Gus Smith | 86 | 0.35% |
| Anderson | Gus Anderson | 80 | 0.33% |
| Lopez | Gus Lopez | 77 | 0.31% |
This page aggregates publicly available records from government agencies, court systems, and official registries into a single report for Gus PE. Because public records are indexed by name rather than by a unique identifier, the 12 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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12 public records across 3states, belonging to approximately 2 different individuals. There are 2 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: North Carolina (33%), followed by New Jersey and Florida. Spans the South and Northeast regions.
Data spans 3 record categories. Largest: PPP Loan Records (50%), which are tied to specific businesses and addresses. Also includes Business & Corporate Filings (4) and Contact & Address Records (2).