Income Percentiles by Occupation and Education Level

Broadcast and Sound Engineering Technicians and Radio Operators, and media and communication equipment workers, all other

Total Income to Compare: $

Income Percentile Results

Total Income of $55,000 ranks between the 55.8th and 65.4th percentiles for all education levels. These results were estimated off of 94,777 Broadcast and Sound Engineering Technicians and Radio Operators, and media and communication equipment workers, all other.

50th Percentile (Median) Income for any Education Level: $51,065
75th Percentile: $76,953
95th Percentile: $132,458
99th Percentile: $248,500

See Similar Occupations

Income Percentile Stats

  • To be in the top 1% for this age range, your household would need an income of $248,500 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 $132,458 per year. This would include salary, investments, and any business income.

Income of Broadcast and Sound Engineering Technicians and Radio Operators, and media and communication equipment workers, all other by Highest Education Level

Total Income of $55,000 ranks for education levels:
  • Compared to Doctoral degree holders this ranks between the 12.1th and 39.1th percentiles.
  • Compared to Professional degree beyond a Bachelor's degree holders this ranks between the 45.7th and 58.7th percentiles.
  • Compared to Master's degree holders this ranks between the 37.3th and 46.4th percentiles.
  • Compared to Bachelor's degree holders this ranks between the 49.4th and 58.7th percentiles.
  • Compared to HS Diploma / GED degree holders this ranks between the 64.9th and 75.9th percentiles.

Income Percentile Distribution by Education Level

Highest Level of Education for Broadcast and Sound Engineering Technicians and Radio Operators, and media and communication equipment workers, all other:
  • Other (N/A or Less than HS): 1.9%
  • HS Diploma / GED: 19.8%
  • Associates Degree and Some College: 44.1%
  • Bachelors Degree: 29.7%
  • Masters Degree: 3.8%
  • Professional Degree beyond a Bachelors: 0.4%
  • Doctoral Degree (PHd) : 0.3%

Most Common Bachelors Degree Majors

  • For Communications undergraduate majors this income ranks between the 49.7th and 58.3th percentiles.
  • For Fine Arts undergraduate majors this income ranks between the 53.7th and 65.4th percentiles.
  • For Engineering undergraduate majors this income ranks between the 38.8th and 53.7th percentiles.
  • For Business undergraduate majors this income ranks between the 41.6th and 48.1th percentiles.
  • For Communication Technologies undergraduate majors this income ranks between the 62.2th and 67.1th percentiles.
  • For Social Sciences undergraduate majors this income ranks between the 55.5th and 60.8th percentiles.
  • For Computer and Information Sciences undergraduate majors this income ranks between the 38.4th and 43.7th percentiles.
  • For Psychology undergraduate majors this income ranks between the 68.7th and 74.6th percentiles.
  • For Liberal Arts and Humanities undergraduate majors this income ranks between the 62.4th and 62.4th percentiles.
  • For English Language, Literature, and Composition undergraduate majors this income ranks between the 33.7th and 37.6th 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 94,777 Broadcast and Sound Engineering Technicians and Radio Operators, and media and communication equipment workers, all other. The occupation code that was used to generate these results e was 2900 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