Income Percentiles by Occupation and Education Level

Construction equipment operators except paving, surfacing, and tamping equipment operators

Total Income to Compare: $

Income Percentile Results

Total Income of $55,000 ranks between the 50.2th and 63.9th percentiles for all education levels. These results were estimated off of 416,303 Construction equipment operators except paving, surfacing, and tamping equipment operators.

50th Percentile (Median) Income for any Education Level: $54,586
75th Percentile: $77,826
95th Percentile: $125,000
99th Percentile: $197,264

See Similar Occupations

Income Percentile Stats

  • To be in the top 1% for this age range, your household would need an income of $197,264 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 $125,000 per year. This would include salary, investments, and any business income.

Income of Construction equipment operators except paving, surfacing, and tamping 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 71.4th and 74.4th percentiles.
  • Compared to Professional degree beyond a Bachelor's degree holders this ranks between the 43.5th and 57.6th percentiles.
  • Compared to Master's degree holders this ranks between the 40.9th and 45th percentiles.
  • Compared to Bachelor's degree holders this ranks between the 41.6th and 56.2th percentiles.
  • Compared to HS Diploma / GED degree holders this ranks between the 50.1th and 63.5th percentiles.

Income Percentile Distribution by Education Level

Highest Level of Education for Construction equipment operators except paving, surfacing, and tamping equipment operators:
  • Other (N/A or Less than HS): 18.9%
  • HS Diploma / GED: 53.7%
  • Associates Degree and Some College: 24.2%
  • Bachelors Degree: 2.7%
  • Masters Degree: 0.3%
  • Professional Degree beyond a Bachelors: 0.1%
  • Doctoral Degree (PHd) : 0%

Most Common Bachelors Degree Majors

  • For Business undergraduate majors this income ranks between the 39.6th and 64.5th percentiles.
  • For Engineering undergraduate majors this income ranks between the 32.4th and 37.6th percentiles.
  • For Social Sciences undergraduate majors this income ranks between the 31th and 44.6th percentiles.
  • For Agriculture undergraduate majors this income ranks between the 58.9th and 65.8th percentiles.
  • For Criminal Justice and Fire Protection undergraduate majors this income ranks between the 30.9th and 43.1th percentiles.
  • For Computer and Information Sciences undergraduate majors this income ranks between the 33.5th and 60.3th percentiles.
  • For Education Administration and Teaching undergraduate majors this income ranks between the 50th and 50th percentiles.
  • For Environment and Natural Resources undergraduate majors this income ranks between the 45.7th and 79th percentiles.
  • For Physical Sciences undergraduate majors this income ranks between the 37.5th and 73.5th percentiles.
  • For Physical Fitness, Parks, Recreation, and Leisure undergraduate majors this income ranks between the 48.2th and 58.3th 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 416,303 Construction equipment operators except paving, surfacing, and tamping equipment operators. The occupation code that was used to generate these results e was 6320 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