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The differences between console operators and encoding machine 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 console operator and an encoding machine operator. Additionally, a console operator has an average salary of $43,202, which is higher than the $29,755 average annual salary of an encoding machine operator.
The top three skills for a console operator include emergency situations, CCTV and telephone calls. The most important skills for an encoding machine operator are data entry, encode, and video.
| Console Operator | Encoding Machine Operator | |
| Yearly salary | $43,202 | $29,755 |
| Hourly rate | $20.77 | $14.31 |
| Growth rate | 4% | -3% |
| Number of jobs | 30,104 | 54,155 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 37% | Bachelor's Degree, 40% |
| Average age | 43 | 43 |
| Years of experience | 2 | 2 |
Console operators and encoding machine operators have different pay scales, as shown below.
| Console Operator | Encoding Machine Operator | |
| Average salary | $43,202 | $29,755 |
| Salary range | Between $31,000 And $58,000 | Between $23,000 And $37,000 |
| Highest paying City | - | - |
| Highest paying state | - | - |
| Best paying company | - | - |
| Best paying industry | - | - |
There are a few differences between a console operator and an encoding machine operator in terms of educational background:
| Console Operator | Encoding Machine Operator | |
| Most common degree | Bachelor's Degree, 37% | Bachelor's Degree, 40% |
| Most common major | Business | Business |
| Most common college | California State University - Bakersfield | Stanford University |
Here are the differences between console operators' and encoding machine operators' demographics:
| Console Operator | Encoding Machine Operator | |
| Average age | 43 | 43 |
| Gender ratio | Male, 66.1% Female, 33.9% | Male, 42.3% Female, 57.7% |
| Race ratio | Black or African American, 8.6% Unknown, 4.9% Hispanic or Latino, 9.9% Asian, 12.3% White, 63.8% American Indian and Alaska Native, 0.6% | Black or African American, 8.6% Unknown, 4.9% Hispanic or Latino, 9.9% Asian, 12.3% White, 63.8% American Indian and Alaska Native, 0.6% |
| LGBT Percentage | 10% | 10% |