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Clean All demographics summary. Zippia estimates demographics and statistics for Clean All by using a database of 30 million profiles. Our estimates are verified against BLS, Census, and current job openings data for accuracy. After extensive research and analysis, Zippia's data science team found that:
| Industry | Consumer Services |
| Company type | Private |
| Clean All employees who are women | 55% |
| Clean All executives who are women | - |
| Clean All employees who are minorities | 30% |
| Clean All executives who are minorities | - |
| Most common minority at Clean All | Hispanic or Latino |
| Most common foreign language | French |
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| Gender | Percentages |
|---|---|
| Male | 41.7% |
| Female | 58.3% |
| Race | Percentages |
|---|---|
| White | 72.0% |
| Hispanic or Latino | 12.0% |
| Black or African American | 8.8% |
| Asian | 4.8% |
| Unknown | 2.4% |
| Employees age | Percentages |
|---|---|
| Less than 18 years | 0% |
| 18-20 years | 10% |
| 20-30 years | 38% |
| 30-40 years | 38% |
| 40+ years | 13% |
| Number or Years | Percentages |
|---|---|
| Less than one year | 32% |
| 1-2 years | 32% |
| 3-4 years | 9% |
| 5-7 years | 14% |
| 8-10 years | 6% |
| 11+ years | 8% |
| Salary range | Clean All | |
|---|---|---|
| <$25k | 22 jobs | - |
| $25k-40k | 48 jobs | - |
| $40k-60k | 9 jobs | - |
| $60k-100k | 4 jobs | - |
| $100k-200k | 1 jobs | - |
| >$200k | 0 jobs | - |
Zippia gives an in-depth look into the details of Clean All, including salaries, political affiliations, employee data, and more, in order to inform job seekers about Clean All. The employee data is based on information from people who have self-reported their past or current employments at Clean All. The data on this page is also based on data sources collected from public and open data sources on the Internet and other locations, as well as proprietary data we licensed from other companies. Sources of data may include, but are not limited to, the BLS, company filings, estimates based on those filings, H1B filings, and other public and private datasets. While we have made attempts to ensure that the information displayed are correct, Zippia is not responsible for any errors or omissions or for the results obtained from the use of this information. None of the information on this page has been provided or approved by Clean All. The data presented on this page does not represent the view of Clean All and its employees or that of Zippia.
Clean All may also be known as or be related to Clean All, Clean All Inc, Clean All Services, Inc. and Clean All Svc.