Income Percentiles by Occupation and Education Level

Computer Programmers

Total Income to Compare: $

Income Percentile Results

Total Income of $55,000 ranks between the 22.8th and 32th percentiles for all education levels. These results were estimated off of 427,076 Computer Programmers.

50th Percentile (Median) Income for any Education Level: $82,735
75th Percentile: $108,114
95th Percentile: $168,354
99th Percentile: $344,166

See Similar Occupations

Income Percentile Stats

  • To be in the top 1% for this age range, your household would need an income of $344,166 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 $168,354 per year. This would include salary, investments, and any business income.

Income of Computer Programmers by Highest Education Level

Total Income of $55,000 ranks for education levels:
  • Compared to Doctoral degree holders this ranks between the 12.7th and 16.5th percentiles.
  • Compared to Professional degree beyond a Bachelor's degree holders this ranks between the 21.4th and 25th percentiles.
  • Compared to Master's degree holders this ranks between the 14.6th and 22.2th percentiles.
  • Compared to Bachelor's degree holders this ranks between the 19.4th and 28.5th percentiles.
  • Compared to HS Diploma / GED degree holders this ranks between the 44.6th and 54.3th percentiles.

Income Percentile Distribution by Education Level

Highest Level of Education for Computer Programmers:
  • Other (N/A or Less than HS): 0.7%
  • HS Diploma / GED: 4.7%
  • Associates Degree and Some College: 22.5%
  • Bachelors Degree: 50.4%
  • Masters Degree: 19.2%
  • Professional Degree beyond a Bachelors: 0.8%
  • Doctoral Degree (PHd) : 1.8%

Most Common Bachelors Degree Majors

  • For Computer and Information Sciences undergraduate majors this income ranks between the 18.7th and 28.9th percentiles.
  • For Engineering undergraduate majors this income ranks between the 16th and 23.8th percentiles.
  • For Business undergraduate majors this income ranks between the 19.1th and 28.6th percentiles.
  • For Mathematics and Statistics undergraduate majors this income ranks between the 17.4th and 22.5th percentiles.
  • For Social Sciences undergraduate majors this income ranks between the 21.1th and 29.5th percentiles.
  • For Physical Sciences undergraduate majors this income ranks between the 22.5th and 33.4th percentiles.
  • For Fine Arts undergraduate majors this income ranks between the 30th and 39.1th percentiles.
  • For Biology and Life Sciences undergraduate majors this income ranks between the 25.6th and 32.3th percentiles.
  • For Engineering Technologies undergraduate majors this income ranks between the 18.9th and 29.6th percentiles.
  • For Communications undergraduate majors this income ranks between the 26.8th and 34.5th 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 427,076 Computer Programmers. The occupation code that was used to generate these results e was 1010 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