Explore jobs
Find specific jobs
Explore careers
Explore professions
Best companies
Explore companies
The differences between cutting supervisors and manufacturing 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 cutting supervisor and a manufacturing supervisor. Additionally, a manufacturing supervisor has an average salary of $71,330, which is higher than the $54,868 average annual salary of a cutting supervisor.
The top three skills for a cutting supervisor include product quality, production reports and labor costs. The most important skills for a manufacturing supervisor are continuous improvement, lean manufacturing, and safety regulations.
| Cutting Supervisor | Manufacturing Supervisor | |
| Yearly salary | $54,868 | $71,330 |
| Hourly rate | $26.38 | $34.29 |
| Growth rate | - | 3% |
| Number of jobs | 25,188 | 68,725 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 43% | Bachelor's Degree, 62% |
| Average age | 46 | 46 |
| Years of experience | 2 | 2 |
Cutting supervisors and manufacturing supervisors have different pay scales, as shown below.
| Cutting Supervisor | Manufacturing Supervisor | |
| Average salary | $54,868 | $71,330 |
| Salary range | Between $37,000 And $80,000 | Between $55,000 And $92,000 |
| Highest paying City | - | Newark, NJ |
| Highest paying state | - | Maine |
| Best paying company | - | Boehringer Ingelheim |
| Best paying industry | - | Pharmaceutical |
There are a few differences between a cutting supervisor and a manufacturing supervisor in terms of educational background:
| Cutting Supervisor | Manufacturing Supervisor | |
| Most common degree | Bachelor's Degree, 43% | Bachelor's Degree, 62% |
| Most common major | Business | Business |
| Most common college | Stanford University | Stanford University |
Here are the differences between cutting supervisors' and manufacturing supervisors' demographics:
| Cutting Supervisor | Manufacturing Supervisor | |
| Average age | 46 | 46 |
| Gender ratio | Male, 74.8% Female, 25.2% | Male, 83.7% Female, 16.3% |
| Race ratio | Black or African American, 12.9% Unknown, 4.1% Hispanic or Latino, 17.0% Asian, 4.7% White, 60.5% American Indian and Alaska Native, 0.7% | Black or African American, 11.0% Unknown, 4.1% Hispanic or Latino, 19.7% Asian, 4.4% White, 60.1% American Indian and Alaska Native, 0.7% |
| LGBT Percentage | 6% | 6% |