Cleaners of vehicles & equipment

Detailed Occupation

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2022 Workforce
361k
Average Age
35.9
Average Salary
$27,331
Average Male Salary
$28,100
Average Female Salary
$24,010

About

Cleaners of vehicles & equipment are most often employed by the Car washes industry. The average yearly wage for Cleaners of vehicles & equipment was $27,331 in 2022.

The locations that employ the most Cleaners of vehicles & equipment are Cass County--Fargo City PUMA, ND, Outagamie County PUMA, WI, and Jasper & Newton Counties PUMA, MO. The locations with a relatively high concentration of Cleaners of vehicles & equipment are Las Vegas City (Southeast) PUMA, NV, Elmore, Jerome, Blaine, Minidoka, Gooding, Lincoln & Camas Counties PUMA, ID, and Capital Region Planning Commission 3--Baton Rouge City (North) PUMA, LA.

Employment

Employment and salary information for the Cleaners of vehicles & equipment workforce. Cleaners of vehicles & equipment workforce in 2022 was 360,773 people, of which 18.8% were women and 81.2% were men. Cleaners of vehicles & equipment are paid most in Sioux, Clay, Dickinson, O'Brien, Lyon, Emmet, Palo Alto & Osceola Counties PUMA, IA but are relatively concentrated in Las Vegas City (Southeast) PUMA, NV.

Employment Over Time

Metric
Grouping
292,944
Male Workforce
± 13.3k
67,829
Female Workforce
± 6.39k

The Cleaners of vehicles & equipment workforce in 2022 was 360,773 people (18.8% women and 81.2% men). This implies an average annual growth of 7.53% between 2014 (335,510) and 2022 (360,773).

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Employment by Location

Level
Metric

This map shows the states in the United States shaded by average wage for Cleaners of vehicles & equipment.

During 2022, the states that concentrated the best average annual wage were New York ($35,616), Maine ($33,690), and New Hampshire ($32,254).

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Yearly Wage Ranking

$27,331
AVERAGE WAGE
#496 in the ranking (2022)
$64,683
NATIONAL AVERAGE WAGE
For all occupations across the US

In 2022, Cleaners of vehicles & equipment earned an average of $27,331, $37,351 less than the average national salary of $64,683

The graph shows the ranking of Cleaners of vehicles & equipment in relation to all Detailed Occupation in 2022.

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Wage Distribution

Gender
0.413
WAGE GINI

In 2022, Cleaners of vehicles & equipment had a wage GINI coefficient of 0.413, which is lower than the national average of 0.478. In other words, wages are distributed more evenly for Cleaners of vehicles & equipment (shown in red) than for the overall labor force (shown in gray).

The graphic shows the distribution of average salaries by buckets for Cleaners of vehicles & equipment compared to the entire workforce in the country.

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Industry

Information on the industries that employ Cleaners of vehicles & equipment and on wages for those in the field. Car washes is the industry that employs the most Cleaners of vehicles & equipment, both by share and by number, though the highest paid industry for Cleaners of vehicles & equipment, by average wage, is Other general government & support ($68,005).

Occupations by Industries

Metric
Value
361k
2022 Workforce
± 14,729
1.48%
1 YEAR GROWTH
± 5.71%

This graphic shows the share of Cleaners of vehicles & equipment employed by various industries. Car washes employs the largest share of Cleaners of vehicles & equipment at 53.8%, followed by Car Dealers with 38% and Automotive repair & maintenance with 8.2%.

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Diversity

Demographic information on Cleaners of vehicles & equipment in the US. The workforce of Cleaners of vehicles & equipment in 2022 was 360,773 people, with 18.8% woman, and 81.2% men. The average age of male Cleaners of vehicles & equipment in the workforce is 35.1 and of female Cleaners of vehicles & equipment is 39, and the most common race/ethnicity for Cleaners of vehicles & equipment is White.

Gender and Age

Metric

The workforce of Cleaners of vehicles & equipment in 2022 was 360,773 people, with 18.8% woman, and 81.2% men.

The age ranges that concentrated the largest workforce were 20 to 24 years (69,372 people), 16 to 19 years (51,137  people), and 25 to 29 years (43,152 people). Among them they concentrated 45.4% of the total workforce.

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Ethnicity

Gender

In 2022, 33.2% of Cleaners of vehicles & equipment workers were Hispanic and 66.8% non-Hispanic.

The treemap shows the distribution of Hispanic workers according to their origin, highlighting Mexican (80.6%), Puerto Rican (11.2)%, and Salvadoran (8.2)%

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Races

In 2022, 55.2% of the Cleaners of vehicles & equipment workforce were White, of which 18.2% were women and 81.8% men. Other races that concentrated a significant number of workers were Black (17.1%) and Other (12.3%).

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Education & Skills

Data on higher education choices for Cleaners of vehicles & equipment from The Department of Education and Census Bureau. The most common major for Cleaners of vehicles & equipment is Business but the most specialized major according to RCA in 2022 were Parks, Recreation, & Leisure.

Among the necessary skills for Cleaners of vehicles & equipment, Operation and Control stands, but the revealed comparative advantage (RCA) shows that Cleaners of vehicles & equipment need more than the average amount of Equipment Selection.

Majors

ACS PUMS data only shows the major for bachelor's degrees. However, we can filter the data based on highest degree obtained.
Type of Majors
Degree

The most common majors achieved by Cleaners of vehicles & equipment in 2022 (counting all academic degrees) were Business (4,127 people), Education (1,760 people), and Engineering (1,642 people).

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Education Levels

Metric

The main educational levels achieved by the Cleaners of vehicles & equipment workers were High School or Equivalent (152,121 people), Some college (72,238 people), and Secondary Education (70,072 people).

The graphic shows the Cleaners of vehicles & equipment workforce by gender and educational level.

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Skills

Chart
Value

Data on the critical and distinctive skills necessary for Cleaners of vehicles & equipment from the Bureau of Labor Statistics. Cleaners of vehicles & equipment need many skills, but most especially Operation and Control, Operation Monitoring, Quality Control Analysis.

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