Income Percentiles by Occupation and Education Level

Word Processors and Typists

Total Income: $

Income Percentile Results

Total Income of $10,000 ranks between the 11th and 27.7th percentiles for all education levels. These results were estimated off of 253,975 Word Processors and Typists.

50th Percentile (Median) Income for any Education Level: $33,520
75th Percentile: $45,277
95th Percentile: $74,461
99th Percentile: $117,922

See Similar Occupations

Income Percentile Stats

  • To be in the top 1% for this age range, your household would need an income of $117,922 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 $74,461 per year. This would include salary, investments, and any business income.

Income of Word Processors and Typists by Highest Education Level

Total Income of $10,000 ranks for education levels:
  • Compared to Doctoral degree holders this ranks between the 0th and 10th percentiles.
  • Compared to Professional degree beyond a Bachelor's degree holders this ranks between the 5.7th and 18.1th percentiles.
  • Compared to Master's degree holders this ranks between the 9.7th and 22.5th percentiles.
  • Compared to Bachelor's degree holders this ranks between the 13.6th and 27.8th percentiles.
  • Compared to HS Diploma / GED degree holders this ranks between the 9.4th and 26.6th percentiles.

Income Percentile Distribution by Education Level

Highest Level of Education for Word Processors and Typists:
  • Other (N/A or Less than HS): 3.1%
  • HS Diploma / GED: 28.7%
  • Associates Degree and Some College: 46.6%
  • Bachelors Degree: 17.8%
  • Masters Degree: 3.3%
  • Professional Degree beyond a Bachelors: 0.3%
  • Doctoral Degree (PHd) : 0.2%

Most Common Bachelors Degree Majors

  • For Business undergraduate majors this income ranks between the 12.2th and 20.9th percentiles.
  • For Social Sciences undergraduate majors this income ranks between the 18.1th and 34.1th percentiles.
  • For Education Administration and Teaching undergraduate majors this income ranks between the 11th and 21.6th percentiles.
  • For Psychology undergraduate majors this income ranks between the 11.2th and 32.4th percentiles.
  • For Communications undergraduate majors this income ranks between the 10.4th and 21.3th percentiles.
  • For Fine Arts undergraduate majors this income ranks between the 13.8th and 29.6th percentiles.
  • For Medical and Health Sciences and Services undergraduate majors this income ranks between the 13th and 37.4th percentiles.
  • For English Language, Literature, and Composition undergraduate majors this income ranks between the 18.7th and 36.8th percentiles.
  • For Criminal Justice and Fire Protection undergraduate majors this income ranks between the 5.1th and 30.2th percentiles.
  • For Biology and Life Sciences undergraduate majors this income ranks between the 25.9th and 48.9th 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 253,975 Word Processors and Typists. The occupation code that was used to generate these results e was 5820 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