Income Percentiles by Occupation and Education Level

Cleaners of Vehicles and Equipment

Total Income: $

Income Percentile Results

Total Income of $10,000 ranks between the 28.9th and 59.3th percentiles for all education levels. These results were estimated off of 307,385 Cleaners of Vehicles and Equipment.

50th Percentile (Median) Income for any Education Level: $21,600
75th Percentile: $31,956
95th Percentile: $60,000
99th Percentile: $100,000

See Similar Occupations

Income Percentile Stats

  • To be in the top 1% for this age range, your household would need an income of $100,000 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 $60,000 per year. This would include salary, investments, and any business income.

Income of Cleaners of Vehicles and Equipment 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 62.4th and 74.8th percentiles.
  • Compared to Professional degree beyond a Bachelor's degree holders this ranks between the 22.3th and 51.8th percentiles.
  • Compared to Master's degree holders this ranks between the 9.9th and 39.2th percentiles.
  • Compared to Bachelor's degree holders this ranks between the 20.4th and 49.6th percentiles.
  • Compared to HS Diploma / GED degree holders this ranks between the 26.7th and 57.9th percentiles.

Income Percentile Distribution by Education Level

Highest Level of Education for Cleaners of Vehicles and Equipment:
  • Other (N/A or Less than HS): 28.8%
  • HS Diploma / GED: 44.9%
  • Associates Degree and Some College: 22.7%
  • Bachelors Degree: 3%
  • 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 15th and 37th percentiles.
  • For Engineering undergraduate majors this income ranks between the 21.3th and 57th percentiles.
  • For Education Administration and Teaching undergraduate majors this income ranks between the 23th and 50.7th percentiles.
  • For Fine Arts undergraduate majors this income ranks between the 22.6th and 61.1th percentiles.
  • For Social Sciences undergraduate majors this income ranks between the 12.4th and 50.1th percentiles.
  • For Criminal Justice and Fire Protection undergraduate majors this income ranks between the 6.1th and 40.9th percentiles.
  • For Computer and Information Sciences undergraduate majors this income ranks between the 44.9th and 57.7th percentiles.
  • For Communications undergraduate majors this income ranks between the 17.8th and 47.3th percentiles.
  • For Physical Fitness, Parks, Recreation, and Leisure undergraduate majors this income ranks between the 72.5th and 91.4th percentiles.
  • For Biology and Life Sciences undergraduate majors this income ranks between the 11.5th and 42.8th 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 2013-2017. These results represent 307,385 Cleaners of Vehicles and Equipment. The occupation code that was used to generate these results e was 9610 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