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The differences between machine shop supervisors and tool room supervisors can be seen in a few details. Each job has different responsibilities and duties. It typically takes 1-2 years to become both a machine shop supervisor and a tool room supervisor. Additionally, a machine shop supervisor has an average salary of $50,887, which is higher than the $37,489 average annual salary of a tool room supervisor.
The top three skills for a machine shop supervisor include cnc machines, cnc lathes and continuous improvement. The most important skills for a tool room supervisor are safety procedures, safety standards, and CNC.
| Machine Shop Supervisor | Tool Room Supervisor | |
| Yearly salary | $50,887 | $37,489 |
| Hourly rate | $24.46 | $18.02 |
| Growth rate | 1% | 1% |
| Number of jobs | 68,841 | 65,342 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 33% | Bachelor's Degree, 45% |
| Average age | 46 | 46 |
| Years of experience | 2 | 2 |
Machine shop supervisors and tool room supervisors have different pay scales, as shown below.
| Machine Shop Supervisor | Tool Room Supervisor | |
| Average salary | $50,887 | $37,489 |
| Salary range | Between $33,000 And $77,000 | Between $21,000 And $65,000 |
| Highest paying City | - | - |
| Highest paying state | - | - |
| Best paying company | - | - |
| Best paying industry | - | - |
There are a few differences between a machine shop supervisor and a tool room supervisor in terms of educational background:
| Machine Shop Supervisor | Tool Room Supervisor | |
| Most common degree | Bachelor's Degree, 33% | Bachelor's Degree, 45% |
| Most common major | Mechanical Engineering | Business |
| Most common college | Stanford University | Stanford University |
Here are the differences between machine shop supervisors' and tool room supervisors' demographics:
| Machine Shop Supervisor | Tool Room Supervisor | |
| Average age | 46 | 46 |
| Gender ratio | Male, 97.3% Female, 2.7% | Male, 65.0% Female, 35.0% |
| Race ratio | Black or African American, 11.6% Unknown, 4.2% Hispanic or Latino, 15.4% Asian, 5.6% White, 62.4% American Indian and Alaska Native, 0.7% | Black or African American, 12.1% Unknown, 4.1% Hispanic or Latino, 16.9% Asian, 4.8% White, 61.4% American Indian and Alaska Native, 0.7% |
| LGBT Percentage | 6% | 6% |