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The differences between broaching machine operators and numerical control operators can be seen in a few details. Each job has different responsibilities and duties. It typically takes 1-2 years to become both a broaching machine operator and a numerical control operator. Additionally, a numerical control operator has an average salary of $38,280, which is higher than the $32,543 average annual salary of a broaching machine operator.
The top three skills for a broaching machine operator include micrometers, calipers and cnc machines. The most important skills for a numerical control operator are calipers, micrometers, and math.
| Broaching Machine Operator | Numerical Control Operator | |
| Yearly salary | $32,543 | $38,280 |
| Hourly rate | $15.65 | $18.40 |
| Growth rate | -8% | -8% |
| Number of jobs | 58,168 | 85,068 |
| Job satisfaction | 4 | - |
| Most common degree | High School Diploma, 50% | High School Diploma, 43% |
| Average age | 43 | 43 |
| Years of experience | 2 | 2 |
Broaching machine operators and numerical control operators have different pay scales, as shown below.
| Broaching Machine Operator | Numerical Control Operator | |
| Average salary | $32,543 | $38,280 |
| Salary range | Between $15,000 And $69,000 | Between $29,000 And $50,000 |
| Highest paying City | - | Tualatin, OR |
| Highest paying state | - | West Virginia |
| Best paying company | - | BWX Technologies |
| Best paying industry | - | Automotive |
There are a few differences between a broaching machine operator and a numerical control operator in terms of educational background:
| Broaching Machine Operator | Numerical Control Operator | |
| Most common degree | High School Diploma, 50% | High School Diploma, 43% |
| Most common major | Business | Business |
| Most common college | California State University - Long Beach | - |
Here are the differences between broaching machine operators' and numerical control operators' demographics:
| Broaching Machine Operator | Numerical Control Operator | |
| Average age | 43 | 43 |
| Gender ratio | Male, 84.5% Female, 15.5% | Male, 89.0% Female, 11.0% |
| Race ratio | Black or African American, 5.6% Unknown, 5.5% Hispanic or Latino, 10.6% Asian, 6.5% White, 70.9% American Indian and Alaska Native, 0.9% | Black or African American, 4.8% Unknown, 5.4% Hispanic or Latino, 14.7% Asian, 6.0% White, 68.1% American Indian and Alaska Native, 0.9% |
| LGBT Percentage | 6% | 6% |