Medical Insurance Coding Specialist/Coder at Reading Area Community College
RACC is located in Reading, Pennsylvania and approximately 3,924 students attend the school each year.
Want to know more about the career opportunities in this field? Check out the Careers in Medical Insurance Coding Specialist/Coder section at the bottom of this page.
RACC Medical Insurance Coding Specialist/Coder Degrees Available
- Associate’s Degree in Medical Insurance Coding Specialist/Coder
RACC Medical Insurance Coding Specialist/Coder Rankings
Medical Insurance Coding Specialist/Coder Student Demographics at RACC
Take a look at the following statistics related to the make-up of the medical insurance coding specialist/coder majors at Reading Area Community College.
RACC Medical Insurance Coding Specialist/Coder Associate’s Program
The majority of those who receive an associate's degree in medical insurance coding specialist/coder at RACC are white. Around 80% fell into this category, which is below average for this degree.
The following table and chart show the race/ethnicity for students who recently graduated from Reading Area Community College with a associate's in medical insurance coding specialist/coder.
Race/Ethnicity | Number of Students |
---|---|
Asian | 1 |
Black or African American | 0 |
Hispanic or Latino | 0 |
White | 4 |
International Students | 0 |
Other Races/Ethnicities | 0 |
Related Majors
Careers That Medical Insurance Coding Specialist/Coder Grads May Go Into
A degree in medical insurance coding specialist/coder can lead to the following careers. Since job numbers and average salaries can vary by geographic location, we have only included the numbers for PA, the home state for Reading Area Community College.
Occupation | Jobs in PA | Average Salary in PA |
---|---|---|
Medical Assistants | 27,590 | $32,770 |
Medical Records and Health Information Technicians | 8,780 | $41,320 |
References
*The racial-ethnic minorities count is calculated by taking the total number of students and subtracting white students, international students, and students whose race/ethnicity was unknown. This number is then divided by the total number of students at the school to obtain the racial-ethnic minorities percentage.
More about our data sources and methodologies.