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Applied Predictive Technologies demographics and statistics
Applied Predictive Technologies demographics summary. Zippia estimates demographics and statistics for Applied Predictive 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:
- Applied Predictive Technologies has 600 employees.
- 39% of Applied Predictive Technologies employees are women, while 61% are men.
- The most common ethnicity at Applied Predictive Technologies is White (37%).
- 31% of Applied Predictive Technologies employees are Asian.
- 14% of Applied Predictive Technologies employees are Hispanic or Latino.
- The average employee at Applied Predictive Technologies makes $102,753 per year.
- Employees at Applied Predictive Technologies stay with the company for 3.7 years on average.
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Applied Predictive Technologies employee diversity statistics
- 39% of Applied Predictive Technologies employees are female.
- 37% of Applied Predictive Technologies employees are white.
| Industry | - |
| Company type | Private |
| Applied Predictive Technologies employees who are women | 39% |
| Applied Predictive Technologies executives who are women | 20% |
| Applied Predictive Technologies employees who are minorities | 63% |
| Applied Predictive Technologies executives who are minorities | 43% |
| Most common minority at Applied Predictive Technologies | Asian |
| Most common foreign language | Mandarin |
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Applied Predictive Technologies employees education
- The most common highest degree level of Applied Predictive Technologies employees is bachelors, with 85% of employees having at least a bachelors.
- The most common major among Applied Predictive Technologies employees is computer science. 21% of Applied Predictive Technologies employees majored in computer science.
What is the average age of Applied Predictive Technologies employees?
- The most common age range of Applied Predictive Technologies employees is 20-30 years. 100% of Applied Predictive Technologies employees are between the ages of 20-30 years.
- The least common age range of Applied Predictive Technologies employees is less than 18 years. 0% of Applied Predictive Technologies employees are between the ages of less than 18 years.
Applied Predictive Technologies employee average age
| Employees age | Percentages |
|---|---|
| Less than 18 years | 0% |
| 18-20 years | 0% |
| 20-30 years | 100% |
| 30-40 years | 0% |
| 40+ years | 0% |
What is the average length of employment at Applied Predictive Technologies?
- A plurality of employees at Applied Predictive Technologies stay for 1-2 years. 33% of Applied Predictive Technologies employees stay at the company for 1-2 years.
- It's rare for an employee to stay with Applied Predictive Technologies for 5-7 years. Only 5% of Applied Predictive Technologies employees stay at the company for 5-7 years.
Applied Predictive Technologies employees' length of employment
| Number or Years | Percentages |
|---|---|
| Less than one year | 29% |
| 1-2 years | 33% |
| 3-4 years | 12% |
| 5-7 years | 5% |
| 8-10 years | 10% |
| 11+ years | 12% |
Applied Predictive Technologies salary range
- A plurality of employees at Applied Predictive Technologies earns $60k-100k. 52% of employees earn a salary of $60k-100k a year.
- The least common salary at Applied Predictive Technologies is >$200k. Only 1% of Applied Predictive Technologies employees earn a salary of >$200k a year.
Applied Predictive Technologies job listings by salary range
| Salary range | Applied Predictive Technologies | |
|---|---|---|
| <$25k | 0 jobs | - |
| $25k-40k | 0 jobs | - |
| $40k-60k | 10 jobs | - |
| $60k-100k | 204 jobs | - |
| $100k-200k | 175 jobs | - |
| >$200k | 2 jobs | - |
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Zippia gives an in-depth look into the details of Applied Predictive Technologies, including salaries, political affiliations, employee data, and more, in order to inform job seekers about Applied Predictive Technologies. The employee data is based on information from people who have self-reported their past or current employments at Applied Predictive 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 Applied Predictive Technologies. The data presented on this page does not represent the view of Applied Predictive Technologies and its employees or that of Zippia.
Applied Predictive Technologies may also be known as or be related to Applied Predictive Technologies, Applied Predictive Technologies, Inc. and Applied Predictive Technology.