Extruding, Forming, Pressing, and Compacting Machine Setters, Operators, and Tenders

Total Income to Compare:

$

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 $169,971 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 $96,560 per year. This would include salary, investments, and any business income.

Income of Extruding, Forming, Pressing, and Compacting Machine Setters, Operators, and Tenders by Highest Education Level

Total Income of $55,000 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 100th and 100th percentiles.
• Compared to Professional degree beyond a Bachelor's degree holders this ranks between the 100th and 100th percentiles.
• Compared to Master's degree holders this ranks between the 79.6th and 79.6th percentiles.
• Compared to Bachelor's degree holders this ranks between the 60.9th and 76.1th percentiles.
• Compared to HS Diploma / GED degree holders this ranks between the 71.3th and 84.4th percentiles.

Income Percentile Distribution by Education Level

Highest Level of Education for Extruding, Forming, Pressing, and Compacting Machine Setters, Operators, and Tenders:

• Other (N/A or Less than HS): 16.7%
• HS Diploma / GED: 52.1%
• Associates Degree and Some College: 25.8%
• Bachelors Degree: 4.5%
• Masters Degree: 0.8%
• Professional Degree beyond a Bachelors: 0%
• Doctoral Degree (PHd) : 0.1%

Most Common Bachelors Degree Majors

• For Business undergraduate majors this income ranks between the 60.6th and 79th percentiles.
• For Engineering undergraduate majors this income ranks between the 37.1th and 80.4th percentiles.
• For Social Sciences undergraduate majors this income ranks between the 14.8th and 14.8th percentiles.
• For Engineering Technologies undergraduate majors this income ranks between the 91.4th and 91.4th percentiles.
• For Fine Arts undergraduate majors this income ranks between the 88.9th and 88.9th percentiles.
• For Biology and Life Sciences undergraduate majors this income ranks between the 17.7th and 33.9th percentiles.
• For Education Administration and Teaching undergraduate majors this income ranks between the 81.5th and 100th percentiles.
• For Psychology undergraduate majors this income ranks between the 100th and 100th percentiles.
• For Philosophy and Religious Studies undergraduate majors this income ranks between the 100th and 100th percentiles.
• For Public Affairs, Policy, and Social Work undergraduate majors this income ranks between the 53.8th and 53.8th 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 2017-2022. These results represent 26,765 Extruding, Forming, Pressing, and Compacting Machine Setters, Operators, and Tenders. The occupation code that was used to generate these results e was 8720 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