Textile bleaching & dyeing, & cutting machine setters, operators, & tenders

Detailed Occupation

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2017 Workforce

9.93k

Average Age

42.9

Average Salary

$24,934

Average Male Salary

$26,761

Average Female Salary

$22,012

About

Textile bleaching & dyeing, & cutting machine setters, operators, & tenders are most often employed by the Fabric mills, except knitting mills industry. The average yearly wage for Textile bleaching & dyeing, & cutting machine setters, operators, & tenders was $24,934 in 2017.

The locations that employ the most Textile bleaching & dyeing, & cutting machine setters, operators, & tenders are Northwest Georgia Regional Commission (Northeast) PUMA, GA, Northwest Georgia Regional Commission (North Central)--Whitfield County PUMA, GA, and Burke & McDowell Counties PUMA, NC. The locations with a relatively high concentration of Textile bleaching & dyeing, & cutting machine setters, operators, & tenders are Northwest Georgia Regional Commission (Northeast) PUMA, GA, Northwest Georgia Regional Commission (North Central)--Whitfield County PUMA, GA, and Burke & McDowell Counties PUMA, NC.

Production Occupations Production, Transportation, & Material Moving Occupations

Employment

Employment and salary information for the Textile bleaching & dyeing, & cutting machine setters, operators, & tenders workforce. Textile bleaching & dyeing, & cutting machine setters, operators, & tenders workforce in 2017 was 9,931 people, of which 38.5% were women and 61.5% were men. Textile bleaching & dyeing, & cutting machine setters, operators, & tenders are paid most in Catawba County--Hickory City PUMA, NC but are relatively concentrated in Northwest Georgia Regional Commission (Northeast) PUMA, GA.

Employment Over Time

Metric

Grouping

6,110

Male Workforce

± 1.92k

3,821

Female Workforce

± 1.52k

The Textile bleaching & dyeing, & cutting machine setters, operators, & tenders workforce in 2017 was 9,931 people (38.5% women and 61.5% men). This implies an average annual growth of −5.2% between 2014 (10,476) and 2017 (9,931).

Employment by Location

Level

Metric

This map shows the states in the United States shaded by average wage for Textile bleaching & dyeing, & cutting machine setters, operators, & tenders.

During 2017, the states that concentrated the best average annual wage were Massachusetts ($42,027), Tennessee ($39,824), and Pennsylvania ($37,637).

Yearly Wage Ranking

$24,934

AVERAGE WAGE

#422 in the ranking (2017)

$64,683

NATIONAL AVERAGE WAGE

For all occupations across the US

In 2017, Textile bleaching & dyeing, & cutting machine setters, operators, & tenders earned an average of $24,934, $39,749 less than the average national salary of $64,683

The graph shows the ranking of Textile bleaching & dyeing, & cutting machine setters, operators, & tenders in relation to all Detailed Occupation in 2017.

Wage Distribution

Gender

0.296

WAGE GINI

In 2017, Textile bleaching & dyeing, & cutting machine setters, operators, & tenders had a wage GINI coefficient of 0.296, which is lower than the national average of 0.478. In other words, wages are distributed more evenly for Textile bleaching & dyeing, & cutting machine setters, operators, & tenders (shown in red) than for the overall labor force (shown in gray).

The graphic shows the distribution of average salaries by buckets for Textile bleaching & dyeing, & cutting machine setters, operators, & tenders compared to the entire workforce in the country.

Industry

Information on the industries that employ Textile bleaching & dyeing, & cutting machine setters, operators, & tenders and on wages for those in the field. Fabric mills, except knitting mills is the industry that employs the most Textile bleaching & dyeing, & cutting machine setters, operators, & tenders, both by share and by number, though the highest paid industry for Textile bleaching & dyeing, & cutting machine setters, operators, & tenders, by average wage, is Motor vehicles & motor vehicle equipment manufacturing ($39,608).

Occupations by Industries

Metric

Value

9.93k

2017 Workforce

± 2,447

−0.69%

1 YEAR GROWTH

± 35%

This graphic shows the share of Textile bleaching & dyeing, & cutting machine setters, operators, & tenders employed by various industries. Fabric mills, except knitting mills employs the largest share of Textile bleaching & dyeing, & cutting machine setters, operators, & tenders at 40.5%, followed by Carpet & rug mills with 33% and Textile product mills, except carpets & rugs with 26.6%.

Diversity

Demographic information on Textile bleaching & dyeing, & cutting machine setters, operators, & tenders in the US. The workforce of Textile bleaching & dyeing, & cutting machine setters, operators, & tenders in 2017 was 9,931 people, with 38.5% woman, and 61.5% men. The average age of male Textile bleaching & dyeing, & cutting machine setters, operators, & tenders in the workforce is 42.8 and of female Textile bleaching & dyeing, & cutting machine setters, operators, & tenders is 43, and the most common race/ethnicity for Textile bleaching & dyeing, & cutting machine setters, operators, & tenders is White.

Gender and Age

Metric

The workforce of Textile bleaching & dyeing, & cutting machine setters, operators, & tenders in 2017 was 9,931 people, with 38.5% woman, and 61.5% men.

The age ranges that concentrated the largest workforce were 40 to 44 years (1,241 people), 25 to 29 years (1,196 people), and 50 to 54 years (1,130 people). Among them they concentrated 38.2% of the total workforce.

Ethnicity

Gender

In 2017, 34.8% of Textile bleaching & dyeing, & cutting machine setters, operators, & tenders workers were Hispanic and 65.2% non-Hispanic.

The treemap shows the distribution of Hispanic workers according to their origin, highlighting Mexican (81.6%), Guatemalan (10.7)%, and Cuban (7.74)%

You can review this information by gender using the selectors above.

Races

In 2017, 67.1% of the Textile bleaching & dyeing, & cutting machine setters, operators, & tenders workforce were White, of which 39.8% were women and 60.2% men. Other races that concentrated a significant number of workers were Black (14.5%) and Other (13.4%).

Education & Skills

Data on higher education choices for Textile bleaching & dyeing, & cutting machine setters, operators, & tenders from The Department of Education and Census Bureau. The most common major for Textile bleaching & dyeing, & cutting machine setters, operators, & tenders is Visual & Performing Arts but the most specialized major according to RCA in 2017 were Visual & Performing Arts.

Among the necessary skills for Textile bleaching & dyeing, & cutting machine setters, operators, & tenders, Operation Monitoring stands, but the revealed comparative advantage (RCA) shows that Textile bleaching & dyeing, & cutting machine setters, operators, & tenders need more than the average amount of Equipment Maintenance.

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 Textile bleaching & dyeing, & cutting machine setters, operators, & tenders in 2017 (counting all academic degrees) were Visual & Performing Arts (135 people), Business (93 people), and Education (82 people).

You can review this information for different academic grades by modifying the option selected in the selector above.

Education Levels

Metric

The main educational levels achieved by the Textile bleaching & dyeing, & cutting machine setters, operators, & tenders workers were High School or Equivalent (4,530 people), Secondary Education (1,888 people), and Some college (1,628 people).

The graphic shows the Textile bleaching & dyeing, & cutting machine setters, operators, & tenders workforce by gender and educational level.

Skills

Chart

Value

Data on the critical and distinctive skills necessary for Textile bleaching & dyeing, & cutting machine setters, operators, & tenders from the Bureau of Labor Statistics. Textile bleaching & dyeing, & cutting machine setters, operators, & tenders need many skills, but most especially Operation Monitoring, Operation and Control, Monitoring.