Textile machine setters, operators, and tenders

Detailed Occupation

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    2024 Workforce
    17.8k
    Average Age
    43.7
    Average Salary
    $36,404
    Average Male Salary
    $40,243
    Average Female Salary
    $32,781

    About

    Textile machine setters, operators, and tenders are most often employed by the Fabric mills, except knitting mills industry. The average yearly wage for Textile machine setters, operators, and tenders was $36,404 in 2024.

    Employment

    Employment and salary information for the Textile machine setters, operators, and tenders workforce. Textile machine setters, operators, and tenders workforce in 2024 was 17,788 people, of which 51.5% were women and 48.5% were men.

    Textile machine setters, operators, and tenders are paid most in West Piedmont Planning District Commission PUMA, VA but are relatively concentrated in Northwest Georgia Regional Commission (North Central)--Whitfield County PUMA, GA.

    Employment Over Time

    Metric
    Grouping
    8,636
    Male Workforce
    ± 2.28k
    9,152
    Female Workforce
    ± 2.35k

    The Textile machine setters, operators, and tenders workforce in 2024 was 17,788 people (51.5% women and 48.5% men). This implies an average annual growth of −35.2% between 2018 (27,461) and 2024 (17,788).

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    Employment by Location

    Level
    Metric

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

    During 2024, the states that concentrated the best average annual wage were New Jersey ($71,612), Maine ($62,806), and Missouri ($62,645).

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    Yearly Wage Ranking

    $36,404
    AVERAGE WAGE
    #456 in the ranking (2018)
    $69,878
    NATIONAL AVERAGE WAGE
    For all occupations across the US

    In 2024, Textile machine setters, operators, and tenders earned an average of $36,404, $33,474 less than the average national salary of $69,878

    The graph shows the ranking of Textile machine setters, operators, and tenders in relation to all Detailed Occupation in 2018.

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    Wage Distribution

    Gender
    0.33
    WAGE GINI

    In 2024, Textile machine setters, operators, and tenders had a wage GINI coefficient of 0.33, which is lower than the national average of 0.474. In other words, wages are distributed more evenly for Textile machine setters, operators, and 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 machine setters, operators, and tenders compared to the entire workforce in the country.

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    Industry

    Information on the industries that employ Textile machine setters, operators, and tenders and on wages for those in the field. Fabric mills, except knitting mills is the industry that employs the most Textile machine setters, operators, and tenders, both by share and by number, though the highest paid industry for Textile machine setters, operators, and tenders, by average wage, is Miscellaneous manufacturing, n.e.c. ($48,773).

    Occupations by Industries

    Metric
    Value
    17.8k
    2024 Workforce
    ± 3,274
    −13.1%
    1 YEAR GROWTH
    ± 28.9%

    This graphic shows the share of Textile machine setters, operators, and tenders employed by various industries. Fabric mills, except knitting mills employs the largest share of Textile machine setters, operators, and tenders at 49%, followed by Carpet & rug mills with 31.2% and Fiber, yarn, & thread mills with 10.6%.

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    Diversity

    Demographic information on Textile machine setters, operators, and tenders in the US. The workforce of Textile machine setters, operators, and tenders in 2024 was 17,788 people, with 51.5% woman, and 48.5% men. The average age of male Textile machine setters, operators, and tenders in the workforce is 41.8 and of female Textile machine setters, operators, and tenders is 45.5, and the most common race/ethnicity for Textile machine setters, operators, and tenders is White.

    Gender and Age

    Metric

    The workforce of Textile machine setters, operators, and tenders in 2024 was 17,788 people, with 51.5% woman, and 48.5% men.

    The age ranges that concentrated the largest workforce were 55 to 59 years (2,310 people), 50 to 54 years (2,302  people), and 60 to 64 years (2,183 people). Among them they concentrated 39.2% of the total workforce.

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    Ethnicity

    Gender

    In 2024, 32.6% of Textile machine setters, operators, and tenders workers were Hispanic and 67.4% non-Hispanic.

    The treemap shows the distribution of Hispanic workers according to their origin, highlighting Mexican (81.1%), Guatemalan (11.2)%, and Salvadoran (4.18)%

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    Races

    In 2024, 48.3% of the Textile machine setters, operators, and tenders workforce were White, of which 56.2% were women and 43.8% men. Other races that concentrated a significant number of workers were Black (17.4%) and Other (15.5%).

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    Education & Skills

    Data on higher education choices for Textile machine setters, operators, and tenders from The Department of Education and Census Bureau. The most common major for Textile machine setters, operators, and tenders is Visual & Performing Arts but the most specialized major according to RCA in 2024 were Mechanical Technologies.

    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 machine setters, operators, and tenders in 2024 (counting all academic degrees) were Visual & Performing Arts (135 people), English (104 people), and Engineering (99 people).

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

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    Education Levels

    Metric

    The main educational levels achieved by the Textile machine setters, operators, and tenders workers were High School or Equivalent (7,463 people), Some college (3,001 people), and Secondary Education (2,983 people).

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

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