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The differences between certified coding specialists and medical biller coders can be seen in a few details. Each job has different responsibilities and duties. It typically takes 6-12 months to become both a certified coding specialist and a medical biller coder. Additionally, a certified coding specialist has an average salary of $51,818, which is higher than the $38,756 average annual salary of a medical biller coder.
The top three skills for a certified coding specialist include medical terminology, ICD-10-CM and CPC. The most important skills for a medical biller coder are patients, medical billing, and ICD-10.
| Certified Coding Specialist | Medical Biller Coder | |
| Yearly salary | $51,818 | $38,756 |
| Hourly rate | $24.91 | $18.63 |
| Growth rate | 11% | 11% |
| Number of jobs | 62,432 | 54,861 |
| Job satisfaction | - | 5 |
| Most common degree | Associate Degree, 34% | Associate Degree, 30% |
| Average age | 45 | 45 |
| Years of experience | 12 | 12 |
Certified coding specialists and medical biller coders have different pay scales, as shown below.
| Certified Coding Specialist | Medical Biller Coder | |
| Average salary | $51,818 | $38,756 |
| Salary range | Between $37,000 And $71,000 | Between $30,000 And $49,000 |
| Highest paying City | - | San Francisco, CA |
| Highest paying state | - | California |
| Best paying company | - | University of California, Berkeley |
| Best paying industry | - | Professional |
There are a few differences between a certified coding specialist and a medical biller coder in terms of educational background:
| Certified Coding Specialist | Medical Biller Coder | |
| Most common degree | Associate Degree, 34% | Associate Degree, 30% |
| Most common major | Health Care Administration | Health Care Administration |
| Most common college | Georgetown University | University of Pennsylvania |
Here are the differences between certified coding specialists' and medical biller coders' demographics:
| Certified Coding Specialist | Medical Biller Coder | |
| Average age | 45 | 45 |
| Gender ratio | Male, 8.6% Female, 91.4% | Male, 10.0% Female, 90.0% |
| Race ratio | Black or African American, 8.2% Unknown, 4.2% Hispanic or Latino, 16.4% Asian, 9.1% White, 60.9% American Indian and Alaska Native, 1.3% | Black or African American, 9.3% Unknown, 4.2% Hispanic or Latino, 17.8% Asian, 8.0% White, 59.5% American Indian and Alaska Native, 1.3% |
| LGBT Percentage | 9% | 9% |