Income Percentiles by Occupation and Education Level

Mathematical science occupations, nec

Total Income to Compare: $

Income Percentile Results

Total Income of $55,000 ranks between the 26.5th and 36th percentiles for all education levels. These results were estimated off of 52,674 Mathematical science occupations, nec.

50th Percentile (Median) Income for any Education Level: $80,000
75th Percentile: $113,761
95th Percentile: $202,909
99th Percentile: $476,825

See Similar Occupations

Income Percentile Stats

  • To be in the top 1% for this age range, your household would need an income of $476,825 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 $202,909 per year. This would include salary, investments, and any business income.

Income of Mathematical science occupations, nec by Highest Education Level

Total Income of $55,000 ranks for education levels:
  • Compared to Doctoral degree holders this ranks between the 8.7th and 13.8th percentiles.
  • Compared to Professional degree beyond a Bachelor's degree holders this ranks between the 12.7th and 21.8th percentiles.
  • Compared to Master's degree holders this ranks between the 18.8th and 27th percentiles.
  • Compared to Bachelor's degree holders this ranks between the 39.9th and 52.8th percentiles.
  • Compared to HS Diploma / GED degree holders this ranks between the 65.6th and 75th percentiles.

Income Percentile Distribution by Education Level

Highest Level of Education for Mathematical science occupations, nec:
  • Other (N/A or Less than HS): 0%
  • HS Diploma / GED: 0.1%
  • Associates Degree and Some College: 7.7%
  • Bachelors Degree: 34%
  • Masters Degree: 38%
  • Professional Degree beyond a Bachelors: 2.2%
  • Doctoral Degree (PHd) : 18%

Most Common Bachelors Degree Majors

  • For Business undergraduate majors this income ranks between the 40.1th and 47.6th percentiles.
  • For Social Sciences undergraduate majors this income ranks between the 38th and 53.2th percentiles.
  • For Mathematics and Statistics undergraduate majors this income ranks between the 45.7th and 59.7th percentiles.
  • For Engineering undergraduate majors this income ranks between the 30.5th and 44.7th percentiles.
  • For Computer and Information Sciences undergraduate majors this income ranks between the 34.6th and 56.1th percentiles.
  • For Psychology undergraduate majors this income ranks between the 77.1th and 81.3th percentiles.
  • For Biology and Life Sciences undergraduate majors this income ranks between the 55.1th and 69.6th percentiles.
  • For Physical Sciences undergraduate majors this income ranks between the 27.5th and 35.5th percentiles.
  • For Medical and Health Sciences and Services undergraduate majors this income ranks between the 38.8th and 51.1th percentiles.
  • For Fine Arts undergraduate majors this income ranks between the 8th and 44.2th 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 52,674 Mathematical science occupations, nec. The occupation code that was used to generate these results e was 1240 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