Other production workers including semiconductor processors and cooling and freezing equipment operators

Total Income to Compare:

$

Income Percentile Results

See Similar Occupations

• All Occupations
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• Other production workers including semiconductor processors and cooling and freezing equipment operators
• Paper Goods Machine Setters, Operators, and Tenders
• Tire Builders

Income Percentile Stats

• To be in the top 1% for this age range, your household would need an income of $127,519 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 $84,177 per year. This would include salary, investments, and any business income.

Income of Other production workers including semiconductor processors and cooling and freezing equipment operators 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 56.9th and 66.1th percentiles.
• Compared to Professional degree beyond a Bachelor's degree holders this ranks between the 66.1th and 74.6th percentiles.
• Compared to Master's degree holders this ranks between the 59.1th and 69.2th percentiles.
• Compared to Bachelor's degree holders this ranks between the 68.6th and 76.6th percentiles.
• Compared to HS Diploma / GED degree holders this ranks between the 84.4th and 90.5th percentiles.

Income Percentile Distribution by Education Level

Highest Level of Education for Other production workers including semiconductor processors and cooling and freezing equipment operators:

• Other (N/A or Less than HS): 18.4%
• HS Diploma / GED: 46.7%
• Associates Degree and Some College: 28.8%
• Bachelors Degree: 5.1%
• Masters Degree: 0.8%
• 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 65.1th and 72.7th percentiles.
• For Engineering undergraduate majors this income ranks between the 57.7th and 66.6th percentiles.
• For Fine Arts undergraduate majors this income ranks between the 84.5th and 87.4th percentiles.
• For Education Administration and Teaching undergraduate majors this income ranks between the 74th and 84.1th percentiles.
• For Social Sciences undergraduate majors this income ranks between the 76.7th and 83.6th percentiles.
• For Physical Sciences undergraduate majors this income ranks between the 56.1th and 63.3th percentiles.
• For Biology and Life Sciences undergraduate majors this income ranks between the 68.9th and 77.5th percentiles.
• For Computer and Information Sciences undergraduate majors this income ranks between the 76.3th and 83th percentiles.
• For Communications undergraduate majors this income ranks between the 77.2th and 86.9th percentiles.
• For Psychology undergraduate majors this income ranks between the 74.8th and 83th 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 1,229,368 Other production workers including semiconductor processors and cooling and freezing equipment operators. The occupation code that was used to generate these results e was 8965 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