Skills savvy: a skills-based look at occupational data.

This article analyzes occupational data from the U.S. Bureau of Labor Statistics’ Employment Projections (EP) and Occupational Employment and Wage Statistics (OEWS) programs using a skills-based approach. It presents 2024 skills scores for 17 work-related skills across occupations, highlighting adap...

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Publicado en:Monthly Labor Review pp. 1 - 27
Autores principales: Hopson, Amy, Watson, Audrey
Formato: Artículo
Publicado: US Department of Labor Jul2026
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      pub: US Department of Labor
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        atl: Skills savvy: a skills-based look at occupational data.
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        au:
          Hopson, Amy
          Watson, Audrey
      su:
        United States. Bureau of Labor Statistics
        Job skills
        Employment
        Labor market
        Employment forecasting
        Mechanical ability
        STEM education
      sug:
        subj:
          Job skills
          Employment
          Labor market
          United States. Bureau of Labor Statistics
          Administration of General Economic Programs
          Employment forecasting
          Mechanical ability
          STEM education
      ab: This article analyzes occupational data from the U.S. Bureau of Labor Statistics’ Employment Projections (EP) and Occupational Employment and Wage Statistics (OEWS) programs using a skills-based approach. It presents 2024 skills scores for 17 work-related skills across occupations, highlighting adaptability as the most important skill overall, while interpersonal and customer service skills dominate in occupations with the largest projected job growth from 2024 to 2034. The article includes two case studies: one on critical and analytical thinking skills, which are concentrated in STEM (science, technology, engineering, and mathematics) occupations and industries with above-average wages and growth; and another on mechanical skills, prevalent in mining, construction, and manufacturing industries, with some occupations like wind turbine service technicians projected to grow rapidly. Geographic and industry variations in skill importance are also examined, showing correlations between skill concentrations and local employment patterns.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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