First-Line Supervisors of Sales Workers
Income Percentile Results
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Income Percentile Stats
- To be in the top 1% for this age range, your household would need an income of $433,490 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 $170,000 per year. This would include salary, investments, and any business income.
Income of First-Line Supervisors of Sales Workers by Highest Education LevelTotal Income of $55,000 ranks for education levels:
- Compared to Doctoral degree holders this ranks between the 24.9th and 29.1th percentiles.
- Compared to Professional degree beyond a Bachelor's degree holders this ranks between the 30.4th and 36.5th percentiles.
- Compared to Master's degree holders this ranks between the 32.6th and 39.5th percentiles.
- Compared to Bachelor's degree holders this ranks between the 45.8th and 54.7th percentiles.
- Compared to HS Diploma / GED degree holders this ranks between the 74.1th and 82th percentiles.
Income Percentile Distribution by Education LevelHighest Level of Education for First-Line Supervisors of Sales Workers:
- Other (N/A or Less than HS): 5.4%
- HS Diploma / GED: 27.2%
- Associates Degree and Some College: 37.2%
- Bachelors Degree: 24%
- Masters Degree: 5.1%
- Professional Degree beyond a Bachelors: 0.7%
- Doctoral Degree (PHd) : 0.4%
Most Common Bachelors Degree Majors
- For Business undergraduate majors this income ranks between the 39.8th and 49.4th percentiles.
- For Social Sciences undergraduate majors this income ranks between the 43.3th and 51.6th percentiles.
- For Communications undergraduate majors this income ranks between the 48.5th and 58.1th percentiles.
- For Fine Arts undergraduate majors this income ranks between the 60.3th and 68.1th percentiles.
- For Education Administration and Teaching undergraduate majors this income ranks between the 56th and 66.1th percentiles.
- For Engineering undergraduate majors this income ranks between the 36.9th and 44.5th percentiles.
- For Psychology undergraduate majors this income ranks between the 56.5th and 64.3th percentiles.
- For Computer and Information Sciences undergraduate majors this income ranks between the 41.6th and 49.8th percentiles.
- For Biology and Life Sciences undergraduate majors this income ranks between the 53th and 61th percentiles.
- For English Language, Literature, and Composition undergraduate majors this income ranks between the 55.5th and 62.3th percentiles.
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 4,117,245 First-Line Supervisors of Sales Workers. The occupation code that was used to generate these results e was 4700 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