Income Percentiles by Occupation and Education Level

Packaging and Filling Machine Operators and Tenders

Total Income: $

Income Percentile Results

Total Income of $10,000 ranks between the 21.6th and 53.7th percentiles for all education levels. These results were estimated off of 277,522 Packaging and Filling Machine Operators and Tenders.

50th Percentile (Median) Income for any Education Level: $23,815
75th Percentile: $33,805
95th Percentile: $58,214
99th Percentile: $90,000

See Similar Occupations

Income Percentile Stats

  • To be in the top 1% for this age range, your household would need an income of $90,000 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 $58,214 per year. This would include salary, investments, and any business income.

Income of Packaging and Filling Machine Operators and Tenders by Highest Education Level

Total Income of $10,000 ranks for education levels. There is not a lot of data for people with Masters Degrees, Professional Degrees, or Doctoral Degrees, so this data may be misleading.:
  • Compared to Doctoral degree holders this ranks between the 19.5th and 34.1th percentiles.
  • Compared to Professional degree beyond a Bachelor's degree holders this ranks between the 0th and 39.4th percentiles.
  • Compared to Master's degree holders this ranks between the 3.8th and 41.7th percentiles.
  • Compared to Bachelor's degree holders this ranks between the 20th and 45.8th percentiles.
  • Compared to HS Diploma / GED degree holders this ranks between the 20.8th and 50.5th percentiles.

Income Percentile Distribution by Education Level

Highest Level of Education for Packaging and Filling Machine Operators and Tenders:
  • Other (N/A or Less than HS): 31.6%
  • HS Diploma / GED: 43.1%
  • Associates Degree and Some College: 21.2%
  • Bachelors Degree: 3.5%
  • Masters Degree: 0.4%
  • Professional Degree beyond a Bachelors: 0.1%
  • Doctoral Degree (PHd) : 0.1%

Most Common Bachelors Degree Majors

  • For Business undergraduate majors this income ranks between the 19.3th and 49.4th percentiles.
  • For Medical and Health Sciences and Services undergraduate majors this income ranks between the 7.7th and 42.8th percentiles.
  • For Engineering undergraduate majors this income ranks between the 23.6th and 36.6th percentiles.
  • For Education Administration and Teaching undergraduate majors this income ranks between the 29.7th and 75th percentiles.
  • For Fine Arts undergraduate majors this income ranks between the 27.7th and 59.6th percentiles.
  • For Social Sciences undergraduate majors this income ranks between the 20.7th and 37.5th percentiles.
  • For Communications undergraduate majors this income ranks between the 4.9th and 25.5th percentiles.
  • For Physical Sciences undergraduate majors this income ranks between the 41.3th and 47.8th percentiles.
  • For Computer and Information Sciences undergraduate majors this income ranks between the 11.1th and 49th percentiles.
  • For Biology and Life Sciences undergraduate majors this income ranks between the 45.8th and 54.2th 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 277,522 Packaging and Filling Machine Operators and Tenders. The occupation code that was used to generate these results e was 8800 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