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The differences between public health registrars 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 public health registrar and a medical biller coder. Additionally, a medical biller coder has an average salary of $38,756, which is higher than the $29,890 average annual salary of a public health registrar.
The top three skills for a public health registrar include epic, data entry and insurance verification. The most important skills for a medical biller coder are patients, medical billing, and ICD-10.
| Public Health Registrar | Medical Biller Coder | |
| Yearly salary | $29,890 | $38,756 |
| Hourly rate | $14.37 | $18.63 |
| Growth rate | 11% | 11% |
| Number of jobs | 57,761 | 54,861 |
| Job satisfaction | - | 5 |
| Most common degree | Bachelor's Degree, 49% | Associate Degree, 30% |
| Average age | 45 | 45 |
| Years of experience | 12 | 12 |
Public health registrars and medical biller coders have different pay scales, as shown below.
| Public Health Registrar | Medical Biller Coder | |
| Average salary | $29,890 | $38,756 |
| Salary range | Between $22,000 And $39,000 | 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 public health registrar and a medical biller coder in terms of educational background:
| Public Health Registrar | Medical Biller Coder | |
| Most common degree | Bachelor's Degree, 49% | Associate Degree, 30% |
| Most common major | Business | Health Care Administration |
| Most common college | Stanford University | University of Pennsylvania |
Here are the differences between public health registrars' and medical biller coders' demographics:
| Public Health Registrar | Medical Biller Coder | |
| Average age | 45 | 45 |
| Gender ratio | Male, 21.5% Female, 78.5% | Male, 10.0% Female, 90.0% |
| Race ratio | Black or African American, 8.0% Unknown, 4.2% Hispanic or Latino, 17.5% Asian, 7.7% White, 61.4% 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% |