Explore jobs
Find specific jobs
Explore careers
Explore professions
Best companies
Explore companies
The differences between medical insurance coders and medical collectors can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 1-2 years to become a medical insurance coder, becoming a medical collector takes usually requires 6-12 months. Additionally, a medical collector has an average salary of $36,235, which is higher than the $32,709 average annual salary of a medical insurance coder.
The top three skills for a medical insurance coder include patients, insurance verification and medicaid. The most important skills for a medical collector are patients, healthcare, and customer service.
| Medical Insurance Coder | Medical Collector | |
| Yearly salary | $32,709 | $36,235 |
| Hourly rate | $15.73 | $17.42 |
| Growth rate | -3% | -8% |
| Number of jobs | 81,028 | 73,797 |
| Job satisfaction | - | - |
| Most common degree | Associate Degree, 33% | Bachelor's Degree, 24% |
| Average age | 46 | 46 |
| Years of experience | 2 | 12 |
Medical insurance coders and medical collectors have different pay scales, as shown below.
| Medical Insurance Coder | Medical Collector | |
| Average salary | $32,709 | $36,235 |
| Salary range | Between $27,000 And $38,000 | Between $30,000 And $42,000 |
| Highest paying City | - | Arlington Heights, IL |
| Highest paying state | - | Illinois |
| Best paying company | - | Addison Group |
| Best paying industry | - | Finance |
There are a few differences between a medical insurance coder and a medical collector in terms of educational background:
| Medical Insurance Coder | Medical Collector | |
| Most common degree | Associate Degree, 33% | Bachelor's Degree, 24% |
| Most common major | Health Care Administration | Business |
| Most common college | University of Pennsylvania | - |
Here are the differences between medical insurance coders' and medical collectors' demographics:
| Medical Insurance Coder | Medical Collector | |
| Average age | 46 | 46 |
| Gender ratio | Male, 10.8% Female, 89.2% | Male, 18.0% Female, 82.0% |
| Race ratio | Black or African American, 12.1% Unknown, 4.3% Hispanic or Latino, 18.1% Asian, 6.8% White, 57.9% American Indian and Alaska Native, 0.8% | Black or African American, 13.6% Unknown, 3.9% Hispanic or Latino, 22.6% Asian, 3.3% White, 56.1% American Indian and Alaska Native, 0.5% |
| LGBT Percentage | 7% | 8% |