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The differences between upholstery sewers and making machine operators can be seen in a few details. Each job has different responsibilities and duties. It typically takes 3-6 months to become both an upholstery sewer and a making machine operator. Additionally, an upholstery sewer has an average salary of $43,601, which is higher than the $36,805 average annual salary of a making machine operator.
The top three skills for an upholstery sewer include cushions, double needle and . The most important skills for a making machine operator are CNC, HMI, and safety protocol.
| Upholstery Sewer | Making Machine Operator | |
| Yearly salary | $43,601 | $36,805 |
| Hourly rate | $20.96 | $17.69 |
| Growth rate | - | -5% |
| Number of jobs | 169 | 58,075 |
| Job satisfaction | - | - |
| Most common degree | High School Diploma, 56% | High School Diploma, 66% |
| Average age | 50 | 50 |
| Years of experience | 6 | 6 |
Upholstery sewers and making machine operators have different pay scales, as shown below.
| Upholstery Sewer | Making Machine Operator | |
| Average salary | $43,601 | $36,805 |
| Salary range | Between $22,000 And $85,000 | Between $28,000 And $47,000 |
| Highest paying City | - | - |
| Highest paying state | - | - |
| Best paying company | - | - |
| Best paying industry | - | - |
There are a few differences between an upholstery sewer and a making machine operator in terms of educational background:
| Upholstery Sewer | Making Machine Operator | |
| Most common degree | High School Diploma, 56% | High School Diploma, 66% |
| Most common major | Health And Wellness | Criminal Justice |
| Most common college | - | - |
Here are the differences between upholstery sewers' and making machine operators' demographics:
| Upholstery Sewer | Making Machine Operator | |
| Average age | 50 | 50 |
| Gender ratio | Male, 23.3% Female, 76.7% | Male, 75.9% Female, 24.1% |
| Race ratio | Black or African American, 7.8% Unknown, 4.5% Hispanic or Latino, 26.5% Asian, 12.6% White, 47.9% American Indian and Alaska Native, 0.8% | Black or African American, 9.7% Unknown, 4.5% Hispanic or Latino, 11.0% Asian, 9.1% White, 64.8% American Indian and Alaska Native, 0.8% |
| LGBT Percentage | 5% | 5% |