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DataFile Technologies demographics and statistics
DataFile Technologies demographics summary. Zippia estimates demographics and statistics for DataFile Technologies 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:
- DataFile Technologies has 176 employees.
- 67% of DataFile Technologies employees are women, while 33% are men.
- The most common ethnicity at DataFile Technologies is White (75%).
- 9% of DataFile Technologies employees are Hispanic or Latino.
- 7% of DataFile Technologies employees are Black or African American.
- The average employee at DataFile Technologies makes $49,382 per year.
- Employees at DataFile Technologies stay with the company for 4.1 years on average.
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DataFile Technologies employee diversity statistics
- 67% of DataFile Technologies employees are female.
- 75% of DataFile Technologies employees are white.
| Industry | - |
| Company type | Private |
| DataFile Technologies employees who are women | 67% |
| DataFile Technologies executives who are women | - |
| DataFile Technologies employees who are minorities | 25% |
| DataFile Technologies executives who are minorities | - |
| Most common minority at DataFile Technologies | Hispanic or Latino |
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DataFile Technologies employees education
- The most common highest degree level of DataFile Technologies employees is bachelors, with 56% of employees having at least a bachelors.
- The most common major among DataFile Technologies employees is business. 19% of DataFile Technologies employees majored in business.
What is the average age of DataFile Technologies employees?
- The most common age range of DataFile Technologies employees is 20-30 years. 57% of DataFile Technologies employees are between the ages of 20-30 years.
- The least common age range of DataFile Technologies employees is less than 18 years. 0% of DataFile Technologies employees are between the ages of less than 18 years.
DataFile Technologies employee average age
| Employees age | Percentages |
|---|---|
| Less than 18 years | 0% |
| 18-20 years | 0% |
| 20-30 years | 57% |
| 30-40 years | 42% |
| 40+ years | 0% |
What is the average length of employment at DataFile Technologies?
- A plurality of employees at DataFile Technologies stay for less than 1 year. 37% of DataFile Technologies employees stay at the company for less than 1 year.
- It's rare for an employee to stay with DataFile Technologies for 3-4 years. Only 2% of DataFile Technologies employees stay at the company for 3-4 years.
DataFile Technologies employees' length of employment
| Number or Years | Percentages |
|---|---|
| Less than one year | 37% |
| 1-2 years | 18% |
| 3-4 years | 2% |
| 5-7 years | 27% |
| 8-10 years | 8% |
| 11+ years | 8% |
DataFile Technologies salary range
- A plurality of employees at DataFile Technologies earns $25k-40k. 38% of employees earn a salary of $25k-40k a year.
- The least common salary at DataFile Technologies is <$25k. Only 4% of DataFile Technologies employees earn a salary of <$25k a year.
DataFile Technologies job listings by salary range
| Salary range | DataFile Technologies | |
|---|---|---|
| <$25k | 4 jobs | - |
| $25k-40k | 43 jobs | - |
| $40k-60k | 36 jobs | - |
| $60k-100k | 22 jobs | - |
| $100k-200k | 8 jobs | - |
| >$200k | 0 jobs | - |
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Zippia gives an in-depth look into the details of DataFile Technologies, including salaries, political affiliations, employee data, and more, in order to inform job seekers about DataFile Technologies. The employee data is based on information from people who have self-reported their past or current employments at DataFile Technologies. 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 DataFile Technologies. The data presented on this page does not represent the view of DataFile Technologies and its employees or that of Zippia.
DataFile Technologies may also be known as or be related to DataFile Technologies and Datafile Technologies, L.L.C.