Income Percentiles by Occupation and Education Level

Health Diagnosing and Treating Practitioner Support Technicians

Total Income: $

Income Percentile Results

Total Income of $10,000 ranks between the 8.3th and 28.9th percentiles for all education levels. These results were estimated off of 509,827 Health Diagnosing and Treating Practitioner Support Technicians.

50th Percentile (Median) Income for any Education Level: $31,987
75th Percentile: $43,798
95th Percentile: $80,000
99th Percentile: $238,145

See Similar Occupations

Income Percentile Stats

  • To be in the top 1% for this age range, your household would need an income of $238,145 per year. This would include salary, investments, and any business income.
  • To be in the top 5% for this age range, your household would need an income of $80,000 per year. This would include salary, investments, and any business income.

Income of Health Diagnosing and Treating Practitioner Support Technicians by Highest Education Level

Total Income of $10,000 ranks for education levels:
  • Compared to Doctoral degree holders this ranks between the 7.1th and 12.5th percentiles.
  • Compared to Professional degree beyond a Bachelor's degree holders this ranks between the 10.2th and 29th percentiles.
  • Compared to Master's degree holders this ranks between the 6.6th and 19.2th percentiles.
  • Compared to Bachelor's degree holders this ranks between the 9.1th and 26.9th percentiles.
  • Compared to HS Diploma / GED degree holders this ranks between the 8.6th and 32.9th percentiles.

Income Percentile Distribution by Education Level

Highest Level of Education for Health Diagnosing and Treating Practitioner Support Technicians:
  • Other (N/A or Less than HS): 1.8%
  • HS Diploma / GED: 21%
  • Associates Degree and Some College: 56.4%
  • Bachelors Degree: 17.7%
  • Masters Degree: 2.4%
  • Professional Degree beyond a Bachelors: 0.6%
  • Doctoral Degree (PHd) : 0.2%

Most Common Bachelors Degree Majors

  • For Medical and Health Sciences and Services undergraduate majors this income ranks between the 7.7th and 21th percentiles.
  • For Biology and Life Sciences undergraduate majors this income ranks between the 14.1th and 36.6th percentiles.
  • For Business undergraduate majors this income ranks between the 4.7th and 18.6th percentiles.
  • For Psychology undergraduate majors this income ranks between the 10.6th and 34.7th percentiles.
  • For Social Sciences undergraduate majors this income ranks between the 5.4th and 22th percentiles.
  • For Agriculture undergraduate majors this income ranks between the 12.1th and 33.3th percentiles.
  • For Education Administration and Teaching undergraduate majors this income ranks between the 5.5th and 16.4th percentiles.
  • For Physical Sciences undergraduate majors this income ranks between the 9.6th and 29.7th percentiles.
  • For Fine Arts undergraduate majors this income ranks between the 7th and 20.6th percentiles.
  • For Communications undergraduate majors this income ranks between the 4.4th and 18.1th percentiles.
Note: The source data only records undergraduate degree majors, even if a person continues to study.

Treemap of Undergraduate Majors

Methodology and Assumptions

This data was sourced from the person-level data recorded by the American Communities Survey. The version of the survey used was the most recent 5 year revision for data recorded from 2013-2017. These results represent 509,827 Health Diagnosing and Treating Practitioner Support Technicians. The occupation code that was used to generate these results e was 3410 to read more about the occupation codes that the ACS and Census use. These results were generated in R using raw data from the ACS and precalculated in a batch. This data includes all individual income for the survey respondent, so some of the people may have a wage job as well as other income sources. I did not limit to wage income, because many occupations have high portions of entrepreneurs (CEOs, doctors, tradespeople).

Exclusions and Filters Applied:
  • Filtered for people who reported working at least 30 hours a week.
  • High School Graduates and GED graduates were original 2 separate categories that I combined.
  • Anything below High School Graduates is combined into a separate category. I did not include these on the page for space reason but I can.
  • The data has data for associate degree holders and some college and these values are mostly in between the high school and bachelors samples. There doesn't seem to be a significant difference between some college and an associates degree.
  • All ages are included and not separated. I did some initial testing and there is a difference if the data is split out by age, but I wasn't able to consolidate the data into a way that would make it fast to interact with and avoid being too complicated.
  • There may be some confusion around a masters degree vs a professional degree beyond a masters. This was a distinction made in the original raw data that I decided to keep. Because the data is collected by polling people individually, some of the respondents may have mixed up the difference depending on how they phrased their response.
    • Masters Degree : MBA, Masters in Something
    • Professional Degree beyond a Bachelors Degree: Law Degree, Medical School, generally these degrees are credentials for specific careers.
    • Doctoral Degree: PHd