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The differences between coding clerks supervisors and office supervisors can be seen in a few details. Each job has different responsibilities and duties. It typically takes 4-6 years to become both a coding clerks supervisor and an office supervisor. Additionally, a coding clerks supervisor has an average salary of $61,033, which is higher than the $42,965 average annual salary of an office supervisor.
The top three skills for a coding clerks supervisor include coders, ICD-10 and epic. The most important skills for an office supervisor are patients, office procedures, and data entry.
| Coding Clerks Supervisor | Office Supervisor | |
| Yearly salary | $61,033 | $42,965 |
| Hourly rate | $29.34 | $20.66 |
| Growth rate | 11% | -8% |
| Number of jobs | 19,951 | 55,683 |
| Job satisfaction | - | - |
| Most common degree | Associate Degree, 39% | Bachelor's Degree, 45% |
| Average age | 47 | 47 |
| Years of experience | 6 | 6 |
Coding clerks supervisors and office supervisors have different pay scales, as shown below.
| Coding Clerks Supervisor | Office Supervisor | |
| Average salary | $61,033 | $42,965 |
| Salary range | Between $44,000 And $84,000 | Between $30,000 And $60,000 |
| Highest paying City | - | Jersey City, NJ |
| Highest paying state | - | New Jersey |
| Best paying company | - | Epiq |
| Best paying industry | - | Health Care |
There are a few differences between a coding clerks supervisor and an office supervisor in terms of educational background:
| Coding Clerks Supervisor | Office Supervisor | |
| Most common degree | Associate Degree, 39% | Bachelor's Degree, 45% |
| Most common major | Health Care Administration | Business |
| Most common college | Stanford University | California State University - Bakersfield |
Here are the differences between coding clerks supervisors' and office supervisors' demographics:
| Coding Clerks Supervisor | Office Supervisor | |
| Average age | 47 | 47 |
| Gender ratio | Male, 23.2% Female, 76.8% | Male, 25.7% Female, 74.3% |
| Race ratio | Black or African American, 10.2% Unknown, 4.9% Hispanic or Latino, 15.7% Asian, 6.4% White, 62.1% American Indian and Alaska Native, 0.7% | Black or African American, 9.8% Unknown, 4.7% Hispanic or Latino, 19.0% Asian, 5.3% White, 60.6% American Indian and Alaska Native, 0.6% |
| LGBT Percentage | 8% | 8% |