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This article uses information from the Employment Projections (EP) and Occupational Employment and Wage Statistics (OEWS) programs at the U.S. Bureau of Labor Statistics (BLS) to take a skills-based look at occupational data. The first half of the article presents an overview of skills scores by various occupational characteristics, including projected employment, typical entry-level education, and whether the occupation is classified as a science, technology, engineering, and mathematics (STEM) occupation. The second half focuses on critical and analytical thinking skills and mechanical skills to present two case studies on the relationship among occupations, industries, and geographic areas.
Do you like to analyze the reasoning in an argument? Or maybe you prefer to troubleshoot and repair broken mechanical equipment? If you do, then you enjoy using your critical and analytical thinking skills or your mechanical skills. These skills are just 2 of 17 work-related skills identified by the Employment Projections (EP) program at the U.S. Bureau of Labor Statistics (BLS).1 Other skills include creativity and innovation, interpersonal, leadership, project management, and writing and reading. EP used a wide variety of data from the Occupational Information Network (O*NET) to calculate skills scores that show how important these 17 skills are for each occupation for which BLS publishes projections data.
This article uses information from the EP and the Occupational Employment and Wage Statistics (OEWS) programs at BLS to take a skills-based look at occupational data. The first half of this article looks at skills scores by various occupational characteristics, such as projected employment, typical entry-level education, and whether the occupation is classified as a science, technology, engineering, and mathematics (STEM) occupation. In the second half, OEWS data are combined with skills and projections data to examine how occupations, industries, and geography interact. Critical and analytical thinking skills and mechanical skills are used to show two different occupational case studies.
Skills that are important for many occupations tend to have higher average skills scores, and skills that are important for only some occupations tend to have lower average scores.2 With an average score of 3.79, adaptability had the highest average skills score across all occupations in 2024. (See chart 1.) Detail oriented, interpersonal, and problem solving and decision-making skills are also important across many occupations, with average skills scores of approximately 3.5 or higher (on a scale of 1 to 5). While science and mechanical skills are very important for some occupations, these skills had skills scores of less than 2 when averaged across all occupations in 2024.
| Skill | Average skills score |
|---|---|
Adaptability | 3.79 |
Detail oriented | 3.59 |
Interpersonal | 3.46 |
Problem solving and decision making | 3.45 |
Writing and reading | 3.26 |
Customer service | 3.25 |
Speaking and listening | 3.24 |
Leadership | 3.16 |
Critical and analytical thinking | 3.05 |
Computers and information technology | 3.04 |
Project management | 2.68 |
Creativity and innovation | 2.68 |
Mathematics | 2.63 |
Fine motor | 2.45 |
Physical strength and stamina | 2.21 |
Mechanical | 1.85 |
Science | 1.66 |
Note: Skills scores are calculated using an employment-weighted average of the skills scores across all occupations. Source: U.S. Bureau of Labor Statistics. | |
Chart 2 shows the skills with the highest skills score for the occupations projected to be the fastest growing occupations from 2024 to 2034. While adaptability has the highest skills score across all occupations, the occupations projected to be the fastest growing have a variety of different top skills. The two occupations projected to be the fastest growing, wind turbine service technicians and solar photovoltaic installers, have detail oriented as the most important skill. Although mathematics has a relatively low skills score across all occupations, it is the most important skill for 3 out of the top 10 occupations projected to be the fastest growing.
| Occupation | Top highest skill | Projected percent change, 2024–34 |
|---|---|---|
Wind turbine service technicians | Detail oriented | 49.9 |
Solar photovoltaic installers | Detail oriented | 42.1 |
Nurse practitioners | Adaptability | 40.1 |
Data scientists | Mathematics | 33.5 |
Information security analysts | Computers and information technology | 28.5 |
Medical and health services managers | Adaptability | 23.2 |
Physical therapist assistants | Interpersonal | 22.0 |
Actuaries | Mathematics | 21.8 |
Operations research analysts | Mathematics | 21.5 |
Physician assistants | Adaptability | 20.4 |
Psychiatric technicians | Interpersonal | 20.0 |
Ophthalmic medical technicians | Adaptability | 19.8 |
Computer and information research scientists | Computers and information technology | 19.7 |
Occupational therapy assistants | Interpersonal | 19.2 |
Financial examiners | Critical and analytical thinking | 18.5 |
Total, all occupations | Adaptability | 3.1 |
Source: U.S. Bureau of Labor Statistics. | ||
The 15 occupations with the most projected job growth have a wide variety of top skills. In fact, the five occupations projected to add the most employment over the 2024–34 period each have a different top skill. (See chart 3.) Home health and personal care aides is expected to add the most jobs of any occupation from 2024 to 2034, accounting for roughly 1 of every 7 jobs added over the projections decade. The most important skill for home health and personal care aides is interpersonal. Computers and information technology is the most important skill for software developers, the occupation with the second-highest projected employment growth. The other most important skills for the top five occupations with the most projected job growth include detail oriented, customer service, and adaptability.
| Occupation | Top highest skill | Projected employment change, 2024–34 |
|---|---|---|
Home health and personal care aides | Interpersonal | 739.8 |
Software developers | Computers and information technology | 267.7 |
Stockers and order fillers | Detail oriented | 235.0 |
Fast food and counter workers | Customer service | 233.2 |
Cooks, restaurant | Adaptability | 217.0 |
Registered nurses | Interpersonal | 166.1 |
General and operations managers | Problem solving and decision making | 164.0 |
Medical and health services managers | Adaptability | 142.9 |
Financial managers | Leadership | 128.8 |
Nurse practitioners | Adaptability | 128.4 |
Construction laborers | Detail oriented | 106.5 |
Computer and information systems managers | Computers and information technology | 101.6 |
Medical assistants | Adaptability | 101.2 |
Management analysts | Adaptability | 94.5 |
Heavy and tractor-trailer truck drivers | Detail oriented | 89.3 |
Source: U.S. Bureau of Labor Statistics. | ||
For the largest occupations in 2024, people and communication skills were the top skills. (See chart 4.) Interpersonal and customer service were the most important skills for 5 out of the 6 largest occupations. Detail oriented and adaptability were the top skills for 6 out of the next 7 largest occupations. The fourth largest occupation, general and operations managers, had problem solving and decision making as the most important skill.
| Occupation | Top highest skill | Employment, 2024 |
|---|---|---|
Home health and personal care aides | Interpersonal | 4,347.7 |
Retail salespersons | Customer service | 3,936.7 |
Fast food and counter workers | Customer service | 3,796.0 |
General and operations managers | Problem solving and decision making | 3,712.9 |
Registered nurses | Interpersonal | 3,391.0 |
Cashiers | Customer service | 3,157.2 |
Laborers and freight, stock, and material movers, hand | Detail oriented | 2,988.9 |
Customer service representatives | Adaptability | 2,814.0 |
Stockers and order fillers | Detail oriented | 2,764.8 |
Office clerks, general | Adaptability | 2,646.0 |
Janitors and cleaners, except maids and housekeeping cleaners | Adaptability | 2,447.7 |
Waiters and waitresses | Interpersonal | 2,329.7 |
Heavy and tractor-trailer truck drivers | Detail oriented | 2,235.1 |
Secretaries and administrative assistants, except legal, medical, and executive | Writing and reading | 1,944.0 |
Software developers | Computers and information technology | 1,693.8 |
Source: U.S. Bureau of Labor Statistics. | ||
Most skills show a pattern of higher scores as typical entry-level educational requirements increase.3 For example, computers and information technology skills and writing and reading skills both had differences of 0.91 in average skills scores between the highest and lowest education groups.
However, there was also a sizable group of skills that had the highest scores for the middle education group, which typically requires a postsecondary nondegree award or an associate’s degree. In 2024, detail oriented, fine motor, physical strength and stamina, mechanical, and science all had higher importance in the occupations that require at least a postsecondary nondegree award but not a bachelor’s degree. (See chart 5.)
| Skill | No formal education; high school; some college, no degree | Postsecondary nondegree award; associate's degree | Bachelor's degree and above |
|---|---|---|---|
Adaptability | 3.64 | 3.86 | 4.07 |
Detail oriented | 3.54 | 3.82 | 3.64 |
Interpersonal | 3.36 | 3.53 | 3.66 |
Problem solving and decision making | 3.26 | 3.45 | 3.85 |
Writing and reading | 2.96 | 3.20 | 3.88 |
Customer service | 3.23 | 3.18 | 3.30 |
Speaking and listening | 3.07 | 3.11 | 3.62 |
Leadership | 3.01 | 2.95 | 3.52 |
Critical and analytical thinking | 2.78 | 2.99 | 3.62 |
Computers and information technology | 2.75 | 3.04 | 3.66 |
Project management | 2.54 | 2.51 | 3.01 |
Creativity and innovation | 2.51 | 2.62 | 3.03 |
Mathematics | 2.47 | 2.43 | 3.00 |
Fine motor | 2.64 | 2.94 | 1.91 |
Physical strength and stamina | 2.45 | 2.57 | 1.61 |
Mechanical | 1.95 | 2.31 | 1.52 |
Science | 1.52 | 1.96 | 1.87 |
Note: Skills scores are calculated using an employment-weighted average of the skills scores within the occupations assigned to each education group. Skills are sorted by overall average skills scores. Source: U.S. Bureau of Labor Statistics. | |||
Chart 6 shows that the importance of computer and information technology skills was over 1 point higher, on average, in STEM occupations than in non-STEM occupations.4 In 2024, other skills that were more important in STEM occupations included critical and analytical thinking, mathematics, writing and reading, and science. However, physical strength and stamina was much more important in non-STEM occupations. Other skills that were more important in non-STEM occupations included customer service and interpersonal. Leadership was equally as important in STEM and non-STEM occupations.
| Skill | Average skills scores in STEM occupations | Average skills scores in non-STEM occupations | Difference in average skills scores between STEM and non-STEM occupations |
|---|---|---|---|
Computers and information technology | 4.06 | 2.98 | 1.08 |
Critical and analytical thinking | 3.78 | 3.00 | 0.78 |
Mathematics | 3.21 | 2.59 | 0.62 |
Writing and reading | 3.79 | 3.22 | 0.57 |
Science | 2.13 | 1.62 | 0.51 |
Problem solving and decision making | 3.77 | 3.43 | 0.34 |
Creativity and innovation | 2.97 | 2.66 | 0.31 |
Project management | 2.85 | 2.67 | 0.18 |
Mechanical | 2.02 | 1.84 | 0.18 |
Speaking and listening | 3.39 | 3.23 | 0.16 |
Detail oriented | 3.73 | 3.58 | 0.15 |
Adaptability | 3.88 | 3.78 | 0.10 |
Leadership | 3.14 | 3.16 | -0.02 |
Fine motor | 2.23 | 2.46 | -0.24 |
Interpersonal | 3.06 | 3.49 | -0.43 |
Customer service | 2.69 | 3.28 | -0.60 |
Physical strength and stamina | 1.48 | 2.26 | -0.77 |
Note: STEM = science, technology, engineering, and mathematics. Skills scores are calculated using an employment-weighted average of the skills scores within the occupations assigned to STEM or non-STEM. Skills are sorted by the difference in average skills scores between STEM and non-STEM occupations. Source: U.S. Bureau of Labor Statistics. | |||
In the second half of this article, EP skills and projections data are combined with OEWS data to present two case studies illustrating how the industry, geographic, and wage profiles of different skills may vary. The results show that industries and metropolitan areas with high critical and analytical thinking skills are often associated with high STEM concentrations. On the other hand, mechanical skills are often associated with mining, construction, or manufacturing.
The first case study will consider industries, areas, and occupations with high scores for critical and analytical thinking skills. Occupations with high scores for critical and analytical thinking skills typically have above average wages and include some occupations with fast projected growth, such as actuaries and operations research analysts.
Several professional, scientific, and technical services industries had among the highest scores for critical and analytical thinking skills, including computer systems design and related services; scientific research and development services; and architectural, engineering, and related services.5 Industries with the highest scores for this skill also included several information industries, such as software publishers, and finance and insurance industries, such as securities, commodity contracts, and other financial investments and related activities. (See chart 7.)
In 2024, industries with high critical and analytical thinking scores often had high shares of STEM occupations. For example, STEM occupations made up 59.8 percent of employment in computer systems design and related services and 55.8 percent of employment in scientific research and development services, compared with 6.7 percent of overall employment.
| Industry | Average critical and analytical thinking skills score |
|---|---|
Computer systems design and related services | 3.67 |
Scientific research and development services | 3.65 |
Software publishers | 3.64 |
Monetary authorities-central bank | 3.63 |
Architectural, engineering, and related services | 3.58 |
Computing infrastructure providers, data processing, web hosting, and related services | 3.57 |
Web search portals, libraries, archives, and other information services | 3.56 |
Securities, commodity contracts, and other financial investments and related activities | 3.52 |
Management, scientific, and technical consulting services | 3.50 |
Computer and peripheral equipment manufacturing | 3.48 |
Federal executive branch | 3.47 |
Media streaming distribution services, social networks, and other media networks and content providers | 3.46 |
Management of companies and enterprises | 3.44 |
Insurance carriers | 3.43 |
Lessors of nonfinancial intangible assets (except copyrighted works) | 3.42 |
All industries | 3.05 |
Source: U.S. Bureau of Labor Statistics. | |
In 2024, metropolitan areas with the highest scores for critical and analytical thinking skills also typically had high concentrations of STEM employment. For example, San Jose-Sunnyvale-Santa Clara, CA, had one of the highest critical and analytical thinking scores of any area, as well as the highest share of STEM jobs: 21.1 percent of area employment, compared with 6.7 percent nationally. Lexington Park, MD (17.3 percent STEM employment); Boulder, CO (17.9 percent STEM employment); and Durham-Chapel Hill, NC (14.9 percent STEM employment), were also among the areas with the highest critical and analytical thinking scores.
Myrtle Beach-Conway-North Myrtle Beach, SC; Kahului-Waikiki, HI; Yakima, WA; and Salinas, CA, were among the areas with the lowest scores for critical and analytical thinking skills; STEM jobs made up less than 3 percent of employment in each of these areas. (See chart 8.)
| Metropolitan area | Average critical and analytical thinking skills score |
|---|---|
San Jose-Sunnyvale-Santa Clara, CA | 3.23 |
Lexington Park, MD | 3.21 |
Boulder, CO | 3.20 |
Durham-Chapel Hill, NC | 3.20 |
Washington-Arlington-Alexandria, DC-VA-MD-WV | 3.19 |
Boston-Cambridge-Newton, MA-NH | 3.16 |
Huntsville, AL | 3.15 |
Trenton-Princeton, NJ | 3.15 |
San Francisco-Oakland-Fremont, CA | 3.15 |
Ann Arbor, MI | 3.12 |
Seattle-Tacoma-Bellevue, WA | 3.12 |
Corvallis, OR | 3.12 |
Tallahassee, FL | 3.12 |
Denver-Aurora-Centennial, CO | 3.12 |
Austin-Round Rock-San Marcos, TX | 3.12 |
Olympia-Lacey-Tumwater, WA | 3.11 |
Baltimore-Columbia-Towson, MD | 3.11 |
Rochester, MN | 3.11 |
Charlottesville, VA | 3.11 |
Ithaca, NY | 3.10 |
Salt Lake City-Murray, UT | 3.10 |
Burlington-South Burlington, VT | 3.10 |
Bloomington, IL | 3.10 |
Helena, MT | 3.09 |
State College, PA | 3.09 |
Morgantown, WV | 3.09 |
Raleigh-Cary, NC | 3.09 |
Hartford-West Hartford-East Hartford, CT | 3.09 |
Palm Bay-Melbourne-Titusville, FL | 3.09 |
Amherst Town-Northampton, MA | 3.09 |
Madison, WI | 3.08 |
Bridgeport-Stamford-Danbury, CT | 3.08 |
Albany-Schenectady-Troy, NY | 3.08 |
Midland, MI | 3.08 |
Lansing-East Lansing, MI | 3.08 |
Colorado Springs, CO | 3.08 |
Manchester-Nashua, NH | 3.08 |
Sierra Vista-Douglas, AZ | 3.07 |
Springfield, IL | 3.07 |
Minneapolis-St. Paul-Bloomington, MN-WI | 3.07 |
Portland-Vancouver-Hillsboro, OR-WA | 3.07 |
Dallas-Fort Worth-Arlington, TX | 3.07 |
Fort Collins-Loveland, CO | 3.07 |
New York-Newark-Jersey City, NY-NJ | 3.07 |
Dayton-Kettering-Beavercreek, OH | 3.07 |
Atlanta-Sandy Springs-Roswell, GA | 3.07 |
Jefferson City, MO | 3.07 |
Anchorage, AK | 3.07 |
Iowa City, IA | 3.07 |
Charleston, WV | 3.06 |
Des Moines-West Des Moines, IA | 3.06 |
Richmond, VA | 3.06 |
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 3.06 |
Gainesville, FL | 3.06 |
San Diego-Chula Vista-Carlsbad, CA | 3.06 |
Sacramento-Roseville-Folsom, CA | 3.06 |
Worcester, MA | 3.06 |
Carson City, NV | 3.06 |
Tampa-St. Petersburg-Clearwater, FL | 3.06 |
Columbus, OH | 3.06 |
New Haven, CT | 3.06 |
Detroit-Warren-Dearborn, MI | 3.05 |
Bremerton-Silverdale-Port Orchard, WA | 3.05 |
Ames, IA | 3.05 |
Provo-Orem-Lehi, UT | 3.05 |
Cleveland, OH | 3.05 |
Houston-Pasadena-The Woodlands, TX | 3.05 |
Fairbanks-College, AK | 3.05 |
Pittsburgh, PA | 3.05 |
Charlotte-Concord-Gastonia, NC-SC | 3.05 |
Warner Robins, GA | 3.05 |
Norwich-New London-Willimantic, CT | 3.05 |
Phoenix-Mesa-Chandler, AZ | 3.05 |
Kansas City, MO-KS | 3.05 |
Virginia Beach-Chesapeake-Norfolk, VA-NC | 3.05 |
Columbia, MO | 3.05 |
Lincoln, NE | 3.05 |
Little Rock-North Little Rock-Conway, AR | 3.04 |
Champaign-Urbana, IL | 3.04 |
Rochester, NY | 3.04 |
Topeka, KS | 3.04 |
Ogden, UT | 3.04 |
Tucson, AZ | 3.04 |
Albuquerque, NM | 3.04 |
Portland-South Portland, ME | 3.04 |
Bloomington, IN | 3.04 |
Chicago-Naperville-Elgin, IL-IN | 3.04 |
Cincinnati, OH-KY-IN | 3.04 |
Nashville-Davidson--Murfreesboro--Franklin, TN | 3.04 |
Greenville, NC | 3.04 |
Oklahoma City, OK | 3.04 |
San Antonio-New Braunfels, TX | 3.04 |
Miami-Fort Lauderdale-West Palm Beach, FL | 3.04 |
St. Louis, MO-IL | 3.03 |
Birmingham, AL | 3.03 |
Omaha, NE-IA | 3.03 |
Jacksonville, FL | 3.03 |
Cheyenne, WY | 3.03 |
Baton Rouge, LA | 3.03 |
Akron, OH | 3.03 |
Columbus, IN | 3.03 |
Pittsfield, MA | 3.03 |
Springfield, MA | 3.03 |
Blacksburg-Christiansburg-Radford, VA | 3.03 |
Harrisburg-Carlisle, PA | 3.03 |
Los Angeles-Long Beach-Anaheim, CA | 3.03 |
Boise City, ID | 3.03 |
Buffalo-Cheektowaga, NY | 3.03 |
Cedar Rapids, IA | 3.03 |
Lexington-Fayette, KY | 3.03 |
Dubuque, IA | 3.03 |
Manhattan, KS | 3.03 |
Salisbury, MD | 3.02 |
Urban Honolulu, HI | 3.02 |
Milwaukee-Waukesha, WI | 3.02 |
Crestview-Fort Walton Beach-Destin, FL | 3.02 |
Providence-Warwick, RI-MA | 3.02 |
Fayetteville-Springdale-Rogers, AR | 3.02 |
Pensacola-Ferry Pass-Brent, FL | 3.02 |
Kalamazoo-Portage, MI | 3.02 |
College Station-Bryan, TX | 3.02 |
Charleston-North Charleston, SC | 3.02 |
Peoria, IL | 3.02 |
Salem, OR | 3.02 |
Missoula, MT | 3.02 |
Columbia, SC | 3.02 |
Killeen-Temple, TX | 3.02 |
Idaho Falls, ID | 3.02 |
Waterbury-Shelton, CT | 3.02 |
Syracuse, NY | 3.02 |
Logan, UT-ID | 3.02 |
Wichita, KS | 3.02 |
Beaumont-Port Arthur, TX | 3.01 |
Abilene, TX | 3.01 |
Midland, TX | 3.01 |
Bismarck, ND | 3.01 |
Fargo, ND-MN | 3.01 |
Jackson, MI | 3.01 |
Augusta-Richmond County, GA-SC | 3.01 |
Columbus, GA-AL | 3.01 |
Binghamton, NY | 3.01 |
Davenport-Moline-Rock Island, IA-IL | 3.01 |
Bozeman, MT | 3.01 |
Roanoke, VA | 3.01 |
Huntington-Ashland, WV-KY-OH | 3.01 |
Knoxville, TN | 3.01 |
Oshkosh-Neenah, WI | 3.01 |
Indianapolis-Carmel-Greenwood, IN | 3.01 |
Johnson City, TN | 3.01 |
Oxnard-Thousand Oaks-Ventura, CA | 3.01 |
Macon-Bibb County, GA | 3.01 |
Grand Rapids-Wyoming-Kentwood, MI | 3.01 |
Montgomery, AL | 3.01 |
Battle Creek, MI | 3.01 |
Tulsa, OK | 3.01 |
Waco, TX | 3.01 |
New Orleans-Metairie, LA | 3.01 |
Winston-Salem, NC | 3.01 |
Kennewick-Richland, WA | 3.01 |
Santa Cruz-Watsonville, CA | 3.00 |
Mobile, AL | 3.00 |
Santa Fe, NM | 3.00 |
Spokane-Spokane Valley, WA | 3.00 |
Duluth, MN-WI | 3.00 |
Saginaw, MI | 3.00 |
Jackson, MS | 3.00 |
Lawrence, KS | 3.00 |
Pueblo, CO | 3.00 |
San Angelo, TX | 3.00 |
Chattanooga, TN-GA | 3.00 |
Toledo, OH | 3.00 |
Corpus Christi, TX | 3.00 |
Lynchburg, VA | 3.00 |
Fayetteville, NC | 3.00 |
Weirton-Steubenville, WV-OH | 3.00 |
Elizabethtown, KY | 3.00 |
Bend, OR | 3.00 |
Winchester, VA-WV | 3.00 |
Santa Maria-Santa Barbara, CA | 3.00 |
Grand Junction, CO | 3.00 |
Orlando-Kissimmee-Sanford, FL | 3.00 |
Bangor, ME | 3.00 |
Greenville-Anderson-Greer, SC | 2.99 |
Johnstown, PA | 2.99 |
Panama City-Panama City Beach, FL | 2.99 |
Parkersburg-Vienna, WV | 2.99 |
Utica-Rome, NY | 2.99 |
Sioux Falls, SD-MN | 2.99 |
Walla Walla, WA | 2.99 |
Billings, MT | 2.99 |
Springfield, MO | 2.99 |
Kingsport-Bristol, TN-VA | 2.99 |
Bellingham, WA | 2.99 |
Slidell-Mandeville-Covington, LA | 2.99 |
Erie, PA | 2.99 |
Lima, OH | 2.99 |
Grand Forks, ND-MN | 2.99 |
Hagerstown-Martinsburg, MD-WV | 2.99 |
Wilmington, NC | 2.99 |
Dover, DE | 2.99 |
Louisville/Jefferson County, KY-IN | 2.99 |
Cape Girardeau, MO-IL | 2.99 |
Eugene-Springfield, OR | 2.99 |
Albany, GA | 2.99 |
Mount Vernon-Anacortes, WA | 2.99 |
Pocatello, ID | 2.99 |
Williamsport, PA | 2.99 |
La Crosse-Onalaska, WI-MN | 2.99 |
Las Cruces, NM | 2.99 |
Mankato, MN | 2.99 |
Decatur, IL | 2.99 |
Wichita Falls, TX | 2.99 |
Fort Wayne, IN | 2.99 |
Redding, CA | 2.99 |
Beckley, WV | 2.99 |
South Bend-Mishawaka, IN-MI | 2.99 |
Niles, MI | 2.99 |
Greeley, CO | 2.99 |
Yuma, AZ | 2.99 |
Longview, TX | 2.99 |
Asheville, NC | 2.99 |
Chico, CA | 2.99 |
Green Bay, WI | 2.99 |
El Paso, TX | 2.99 |
Lake Charles, LA | 2.99 |
Tyler, TX | 2.98 |
Allentown-Bethlehem-Easton, PA-NJ | 2.98 |
St. Cloud, MN | 2.98 |
Athens-Clarke County, GA | 2.98 |
Paducah, KY-IL | 2.98 |
Shreveport-Bossier City, LA | 2.98 |
Victoria, TX | 2.98 |
Savannah, GA | 2.98 |
Lubbock, TX | 2.98 |
Vallejo, CA | 2.98 |
Barnstable Town, MA | 2.98 |
Casper, WY | 2.98 |
Great Falls, MT | 2.98 |
Memphis, TN-MS-AR | 2.98 |
Lewiston-Auburn, ME | 2.98 |
North Port-Bradenton-Sarasota, FL | 2.98 |
Kiryas Joel-Poughkeepsie-Newburgh, NY | 2.98 |
Alexandria, LA | 2.98 |
Lewiston, ID-WA | 2.98 |
Houma-Bayou Cane-Thibodaux, LA | 2.98 |
Texarkana, TX-AR | 2.98 |
Cape Coral-Fort Myers, FL | 2.98 |
Lawton, OK | 2.98 |
Bowling Green, KY | 2.98 |
Port St. Lucie, FL | 2.98 |
Reno, NV | 2.98 |
San Luis Obispo-Paso Robles, CA | 2.98 |
Clarksville, TN-KY | 2.98 |
Jonesboro, AR | 2.98 |
Wausau, WI | 2.97 |
Fond du Lac, WI | 2.97 |
Wildwood-The Villages, FL | 2.97 |
Amarillo, TX | 2.97 |
Kankakee, IL | 2.97 |
Greensboro-High Point, NC | 2.97 |
Traverse City, MI | 2.97 |
Eau Claire, WI | 2.97 |
Deltona-Daytona Beach-Ormond Beach, FL | 2.97 |
Lafayette-West Lafayette, IN | 2.97 |
Elmira, NY | 2.97 |
Decatur, AL | 2.97 |
Altoona, PA | 2.97 |
Reading, PA | 2.97 |
Coeur d'Alene, ID | 2.97 |
Auburn-Opelika, AL | 2.97 |
Wheeling, WV-OH | 2.97 |
Mansfield, OH | 2.97 |
Santa Rosa-Petaluma, CA | 2.97 |
Watertown-Fort Drum, NY | 2.97 |
Jackson, TN | 2.97 |
Medford, OR | 2.97 |
Sebring, FL | 2.97 |
Pinehurst-Southern Pines, NC | 2.97 |
Appleton, WI | 2.97 |
Canton-Massillon, OH | 2.97 |
York-Hanover, PA | 2.97 |
Lancaster, PA | 2.97 |
Gulfport-Biloxi, MS | 2.97 |
Lafayette, LA | 2.97 |
Hattiesburg, MS | 2.97 |
Evansville, IN | 2.97 |
Rocky Mount, NC | 2.97 |
Hinesville, GA | 2.97 |
Glens Falls, NY | 2.97 |
Rome, GA | 2.97 |
Tuscaloosa, AL | 2.97 |
Muncie, IN | 2.97 |
Brownsville-Harlingen, TX | 2.97 |
Waterloo-Cedar Falls, IA | 2.97 |
Rockford, IL | 2.97 |
Sebastian-Vero Beach-West Vero Corridor, FL | 2.97 |
Sheboygan, WI | 2.97 |
Flint, MI | 2.97 |
Kingston, NY | 2.96 |
Prescott Valley-Prescott, AZ | 2.96 |
Sherman-Denison, TX | 2.96 |
McAllen-Edinburg-Mission, TX | 2.96 |
Flagstaff, AZ | 2.96 |
Monroe, LA | 2.96 |
Yuba City, CA | 2.96 |
Enid, OK | 2.96 |
Springfield, OH | 2.96 |
Lakeland-Winter Haven, FL | 2.96 |
Rapid City, SD | 2.96 |
Ocala, FL | 2.96 |
Gainesville, GA | 2.96 |
Monroe, MI | 2.96 |
Florence, SC | 2.96 |
St. Joseph, MO-KS | 2.96 |
Scranton--Wilkes-Barre, PA | 2.96 |
Janesville-Beloit, WI | 2.96 |
Bakersfield-Delano, CA | 2.96 |
Racine-Mount Pleasant, WI | 2.96 |
Bay City, MI | 2.96 |
Odessa, TX | 2.96 |
Sumter, SC | 2.96 |
Fresno, CA | 2.96 |
Florence-Muscle Shoals, AL | 2.96 |
Youngstown-Warren, OH | 2.95 |
Punta Gorda, FL | 2.95 |
Terre Haute, IN | 2.95 |
Laredo, TX | 2.95 |
Hammond, LA | 2.95 |
Dalton, GA | 2.95 |
Naples-Marco Island, FL | 2.95 |
Owensboro, KY | 2.95 |
Jacksonville, NC | 2.95 |
Anniston-Oxford, AL | 2.95 |
Joplin, MO-KS | 2.95 |
Homosassa Springs, FL | 2.95 |
Hot Springs, AR | 2.95 |
St. George, UT | 2.95 |
Muskegon-Norton Shores, MI | 2.95 |
Brunswick-St. Simons, GA | 2.95 |
Staunton-Stuarts Draft, VA | 2.95 |
Valdosta, GA | 2.95 |
Harrisonburg, VA | 2.95 |
Fort Smith, AR-OK | 2.95 |
Minot, ND | 2.95 |
Longview-Kelso, WA | 2.95 |
Spartanburg, SC | 2.95 |
Farmington, NM | 2.95 |
Dothan, AL | 2.95 |
Hanford-Corcoran, CA | 2.94 |
Modesto, CA | 2.94 |
Chambersburg, PA | 2.94 |
Burlington, NC | 2.94 |
Gettysburg, PA | 2.94 |
Lebanon, PA | 2.94 |
Lake Havasu City-Kingman, AZ | 2.94 |
Cleveland, TN | 2.94 |
El Centro, CA | 2.94 |
Kokomo, IN | 2.94 |
Elkhart-Goshen, IN | 2.94 |
Gadsden, AL | 2.93 |
Albany, OR | 2.93 |
Twin Falls, ID | 2.93 |
Goldsboro, NC | 2.93 |
Hickory-Lenoir-Morganton, NC | 2.93 |
Michigan City-La Porte, IN | 2.93 |
Vineland, NJ | 2.93 |
Napa, CA | 2.93 |
Sandusky, OH | 2.93 |
Riverside-San Bernardino-Ontario, CA | 2.93 |
Eagle Pass, TX | 2.93 |
Grants Pass, OR | 2.93 |
Grand Island, NE | 2.93 |
Las Vegas-Henderson-North Las Vegas, NV | 2.93 |
Morristown, TN | 2.92 |
Wenatchee-East Wenatchee, WA | 2.92 |
Daphne-Fairhope-Foley, AL | 2.92 |
Sioux City, IA-NE-SD | 2.92 |
Atlantic City-Hammonton, NJ | 2.92 |
Kenosha, WI | 2.92 |
Hilton Head Island-Bluffton-Port Royal, SC | 2.92 |
Stockton-Lodi, CA | 2.91 |
Merced, CA | 2.91 |
Visalia, CA | 2.91 |
Salinas, CA | 2.90 |
Yakima, WA | 2.90 |
Kahului-Wailuku, HI | 2.90 |
Myrtle Beach-Conway-North Myrtle Beach, SC | 2.89 |
Source: U.S. Bureau of Labor Statistics. | |
Charts 9 and 10 show wage and projections data, respectively, for the occupations with the highest critical and analytical thinking skills scores. The occupations in these charts have critical and analytical thinking skills scores of 4.1 or higher.
The following engineering occupations are among the occupations with the highest scores for critical and analytical thinking skills: aerospace engineers, nuclear engineers, chemical engineers, and bioengineers and biomedical engineers. Occupations with the highest scores for this skill also include mathematical occupations, such as actuaries and operations research analysts, and scientists, such as industrial-organizational psychologists and biochemists and biophysicists.
Except for legislators, all the occupations with the highest critical and analytical thinking scores had annual mean wages above the U.S. average wage of $67,920. Chief executives, with an annual mean wage of $262,930, was the highest paying of these occupations. (See chart 9.)
| Occupation | Annual mean wage |
|---|---|
Chief executives | 262,930 |
Aerospace engineers | 141,180 |
Actuaries | 134,990 |
Nuclear engineers | 134,980 |
Industrial-organizational psychologists | 134,400 |
Chemical engineers | 128,430 |
Biochemists and biophysicists | 115,570 |
Bioengineers and biomedical engineers | 115,020 |
Operations research analysts | 99,120 |
Epidemiologists | 94,160 |
Legislators | 67,390 |
All occupations | 67,920 |
Note: Chart shows occupations with scores of 4.1 or higher for this skill. Source: U.S. Bureau of Labor Statistics. | |
Employment of actuaries and operations research analysts is projected to increase by 21.8 percent and 21.5 percent, respectively, from 2024 to 2034—much faster than the average of 3.1 percent for all occupations. Employment of epidemiologists (16.2 percent) is also projected to grow much faster than the average. Most of the remaining occupations with the highest critical and analytical thinking scores are expected to grow faster than the average or about as fast as the average, with the exception of nuclear engineers, which is projected to decrease in employment over the projections period. Among occupations with the highest scores for this skill, operations research analysts (24,100) and chief executives (13,300) are projected to add the largest number of jobs. (See chart 10.)
| Occupation | Projected employment change, percent | Projected employment change, numeric (in thousands) |
|---|---|---|
Chief executives | 4.3 | 13.3 |
Aerospace engineers | 6.1 | 4.4 |
Actuaries | 21.8 | 7.3 |
Nuclear engineers | -1.1 | -0.2 |
Industrial-organizational psychologists | 6.3 | 0.3 |
Chemical engineers | 2.6 | 0.6 |
Biochemists and biophysicists | 5.8 | 2.1 |
Bioengineers and biomedical engineers | 5.2 | 1.1 |
Operations research analysts | 21.5 | 24.1 |
Epidemiologists | 16.2 | 2.0 |
Legislators | 3.4 | 0.9 |
All occupations | 3.1 | 1 |
1 Not applicable. Note: Chart shows occupations with scores of 4.1 or higher for this skill. Occupations are sorted by the annual mean wage. Source: U.S. Bureau of Labor Statistics. | ||
The second case study considers some industries, areas, and occupations with high mechanical skills scores. Wind turbine service technicians, an occupation with high mechanical skills scores, is projected to be the fastest growing occupation from 2024 to 2034.
Several mining and extraction industries were among the industries with the highest scores for mechanical skills, including coal mining, metal ore mining, and nonmetallic mineral mining and quarrying. Industries with the highest scores for mechanical skills also included several construction industries, such as building equipment contractors; utility system construction; and highway, street, and bridge construction. Other industries with high scores for mechanical skills included logging, inland water transportation, pipeline transportation, and industries providing repair and maintenance services, such as automotive repair and maintenance. (See chart 11.)
| Industry | Average mechanical skills score |
|---|---|
Coal mining | 3.02 |
Metal ore mining | 2.93 |
Logging | 2.92 |
Inland water transportation | 2.87 |
Nonmetallic mineral mining and quarrying | 2.82 |
Building equipment contractors | 2.79 |
Commercial and industrial machinery and equipment (except automotive and electronic) repair and maintenance | 2.75 |
Automotive repair and maintenance | 2.74 |
Utility system construction | 2.73 |
Support activities for mining | 2.73 |
Pipeline transportation of natural gas | 2.70 |
Highway, street, and bridge construction | 2.70 |
Fiber, yarn, and thread mills | 2.68 |
Other pipeline transportation | 2.68 |
Other specialty trade contractors | 2.67 |
All industries | 1.85 |
Source: U.S. Bureau of Labor Statistics. | |
Areas with the highest scores for mechanical skills included several areas with high employment concentrations of mining, quarrying, and oil and gas extraction.6 For example, in May 2024, Midland, TX, had over 70 times the national employment concentration in mining industries as a percentage of area employment. Also, Odessa, TX; Houma-Bayou Cane-Thibodaux, LA; and Greeley, CO, all had high employment concentrations of mining and extraction.
Other areas with the highest mechanical skills scores had high employment concentrations in manufacturing, a sector with an above average score for this skill. These areas included Elkhart-Goshen, IN, which had a manufacturing employment concentration nearly six times the national average, as well as Dalton, GA; Decatur, AL; and Columbus, IN. (See chart 12.)
| Metropolitan area | Average mechanical skills score |
|---|---|
Midland, TX | 2.16 |
Elkhart-Goshen, IN | 2.14 |
Odessa, TX | 2.11 |
Dalton, GA | 2.08 |
Decatur, AL | 2.07 |
Columbus, IN | 2.07 |
Houma-Bayou Cane-Thibodaux, LA | 2.06 |
Kokomo, IN | 2.06 |
Sheboygan, WI | 2.04 |
Morristown, TN | 2.03 |
Longview-Kelso, WA | 2.02 |
Fond du Lac, WI | 2.00 |
Beaumont-Port Arthur, TX | 2.00 |
Greeley, CO | 2.00 |
Visalia, CA | 2.00 |
Decatur, IL | 2.00 |
Tuscaloosa, AL | 2.00 |
Anniston-Oxford, AL | 1.99 |
Spartanburg, SC | 1.99 |
Michigan City-La Porte, IN | 1.99 |
Hickory-Lenoir-Morganton, NC | 1.99 |
Wausau, WI | 1.99 |
Salinas, CA | 1.99 |
Paducah, KY-IL | 1.98 |
Bakersfield-Delano, CA | 1.98 |
Casper, WY | 1.98 |
Grand Island, NE | 1.98 |
Longview, TX | 1.98 |
Monroe, MI | 1.98 |
Muskegon-Norton Shores, MI | 1.98 |
Mobile, AL | 1.98 |
Fort Smith, AR-OK | 1.98 |
Gainesville, GA | 1.98 |
Farmington, NM | 1.98 |
Chambersburg, PA | 1.98 |
Enid, OK | 1.98 |
Lake Charles, LA | 1.98 |
Sioux City, IA-NE-SD | 1.97 |
Twin Falls, ID | 1.97 |
Appleton, WI | 1.97 |
Florence-Muscle Shoals, AL | 1.97 |
York-Hanover, PA | 1.97 |
Joplin, MO-KS | 1.97 |
Racine-Mount Pleasant, WI | 1.96 |
Gettysburg, PA | 1.96 |
Jackson, MI | 1.96 |
Albany, OR | 1.96 |
Fort Wayne, IN | 1.96 |
Jackson, TN | 1.96 |
Terre Haute, IN | 1.96 |
Mansfield, OH | 1.96 |
St. Joseph, MO-KS | 1.96 |
Lafayette-West Lafayette, IN | 1.95 |
Yuma, AZ | 1.95 |
Grand Rapids-Wyoming-Kentwood, MI | 1.95 |
Texarkana, TX-AR | 1.95 |
Oshkosh-Neenah, WI | 1.95 |
Bowling Green, KY | 1.95 |
Lima, OH | 1.95 |
Lebanon, PA | 1.95 |
Janesville-Beloit, WI | 1.95 |
Staunton-Stuarts Draft, VA | 1.95 |
Stockton-Lodi, CA | 1.94 |
Rocky Mount, NC | 1.94 |
Evansville, IN | 1.94 |
Reading, PA | 1.94 |
Green Bay, WI | 1.94 |
Harrisonburg, VA | 1.94 |
Lancaster, PA | 1.94 |
Mount Vernon-Anacortes, WA | 1.94 |
Wheeling, WV-OH | 1.94 |
Bremerton-Silverdale-Port Orchard, WA | 1.94 |
Rockford, IL | 1.94 |
Cleveland, TN | 1.94 |
Burlington, NC | 1.94 |
Minot, ND | 1.94 |
Wichita, KS | 1.94 |
Baton Rouge, LA | 1.94 |
Dothan, AL | 1.94 |
Sumter, SC | 1.94 |
Kennewick-Richland, WA | 1.94 |
Vineland, NJ | 1.93 |
Reno, NV | 1.93 |
Toledo, OH | 1.93 |
Kingsport-Bristol, TN-VA | 1.93 |
Savannah, GA | 1.93 |
Cedar Rapids, IA | 1.93 |
Tulsa, OK | 1.93 |
Kenosha, WI | 1.93 |
Hanford-Corcoran, CA | 1.93 |
Battle Creek, MI | 1.93 |
Williamsport, PA | 1.93 |
Lewiston, ID-WA | 1.92 |
Gulfport-Biloxi, MS | 1.92 |
Sherman-Denison, TX | 1.92 |
Blacksburg-Christiansburg-Radford, VA | 1.92 |
Fairbanks-College, AK | 1.92 |
Owensboro, KY | 1.92 |
Greensboro-High Point, NC | 1.92 |
Victoria, TX | 1.92 |
Yakima, WA | 1.92 |
Gadsden, AL | 1.92 |
Wenatchee-East Wenatchee, WA | 1.92 |
St. Cloud, MN | 1.92 |
Waterloo-Cedar Falls, IA | 1.92 |
Louisville/Jefferson County, KY-IN | 1.92 |
Weirton-Steubenville, WV-OH | 1.92 |
Merced, CA | 1.92 |
Scranton--Wilkes-Barre, PA | 1.92 |
Chattanooga, TN-GA | 1.92 |
Huntsville, AL | 1.92 |
Kalamazoo-Portage, MI | 1.92 |
Sandusky, OH | 1.92 |
Davenport-Moline-Rock Island, IA-IL | 1.92 |
Warner Robins, GA | 1.92 |
Springfield, OH | 1.91 |
Napa, CA | 1.91 |
Bay City, MI | 1.91 |
Jonesboro, AR | 1.91 |
Amarillo, TX | 1.91 |
Corpus Christi, TX | 1.91 |
Beckley, WV | 1.91 |
St. George, UT | 1.91 |
Rome, GA | 1.91 |
Niles, MI | 1.91 |
Canton-Massillon, OH | 1.91 |
Lafayette, LA | 1.91 |
Lakeland-Winter Haven, FL | 1.91 |
Ogden, UT | 1.91 |
Lewiston-Auburn, ME | 1.90 |
Wildwood-The Villages, FL | 1.90 |
Lynchburg, VA | 1.90 |
Lake Havasu City-Kingman, AZ | 1.90 |
Saginaw, MI | 1.90 |
Memphis, TN-MS-AR | 1.90 |
Prescott Valley-Prescott, AZ | 1.90 |
Idaho Falls, ID | 1.90 |
Elmira, NY | 1.90 |
Detroit-Warren-Dearborn, MI | 1.90 |
Winchester, VA-WV | 1.90 |
Clarksville, TN-KY | 1.90 |
Florence, SC | 1.90 |
Riverside-San Bernardino-Ontario, CA | 1.90 |
Port St. Lucie, FL | 1.90 |
Modesto, CA | 1.90 |
Peoria, IL | 1.90 |
Huntington-Ashland, WV-KY-OH | 1.90 |
Billings, MT | 1.90 |
Dubuque, IA | 1.90 |
Birmingham, AL | 1.90 |
Ocala, FL | 1.90 |
Youngstown-Warren, OH | 1.90 |
Fresno, CA | 1.90 |
Grand Forks, ND-MN | 1.90 |
Logan, UT-ID | 1.90 |
Eau Claire, WI | 1.90 |
Montgomery, AL | 1.90 |
Allentown-Bethlehem-Easton, PA-NJ | 1.89 |
Kankakee, IL | 1.89 |
Augusta-Richmond County, GA-SC | 1.89 |
Houston-Pasadena-The Woodlands, TX | 1.89 |
Elizabethtown, KY | 1.89 |
Roanoke, VA | 1.89 |
Knoxville, TN | 1.89 |
Valdosta, GA | 1.89 |
Indianapolis-Carmel-Greenwood, IN | 1.89 |
Vallejo, CA | 1.89 |
Cape Coral-Fort Myers, FL | 1.89 |
Shreveport-Bossier City, LA | 1.89 |
Greenville-Anderson-Greer, SC | 1.89 |
Wichita Falls, TX | 1.89 |
Albany, GA | 1.89 |
South Bend-Mishawaka, IN-MI | 1.89 |
Altoona, PA | 1.89 |
Traverse City, MI | 1.89 |
Coeur d'Alene, ID | 1.88 |
Goldsboro, NC | 1.88 |
Auburn-Opelika, AL | 1.88 |
Bellingham, WA | 1.88 |
Fayetteville-Springdale-Rogers, AR | 1.88 |
Fargo, ND-MN | 1.88 |
Cheyenne, WY | 1.88 |
Pueblo, CO | 1.88 |
Alexandria, LA | 1.88 |
San Angelo, TX | 1.88 |
Waco, TX | 1.88 |
Erie, PA | 1.88 |
La Crosse-Onalaska, WI-MN | 1.88 |
Akron, OH | 1.88 |
Grand Junction, CO | 1.88 |
Jackson, MS | 1.88 |
Hagerstown-Martinsburg, MD-WV | 1.88 |
Naples-Marco Island, FL | 1.88 |
Sioux Falls, SD-MN | 1.88 |
Walla Walla, WA | 1.88 |
Flint, MI | 1.88 |
Glens Falls, NY | 1.88 |
Lexington-Fayette, KY | 1.88 |
Palm Bay-Melbourne-Titusville, FL | 1.88 |
Mankato, MN | 1.88 |
El Centro, CA | 1.88 |
Parkersburg-Vienna, WV | 1.88 |
Duluth, MN-WI | 1.88 |
Charleston-North Charleston, SC | 1.88 |
Winston-Salem, NC | 1.88 |
Boise City, ID | 1.87 |
Anchorage, AK | 1.87 |
Bozeman, MT | 1.87 |
Virginia Beach-Chesapeake-Norfolk, VA-NC | 1.87 |
Daphne-Fairhope-Foley, AL | 1.87 |
Bend, OR | 1.87 |
Ames, IA | 1.87 |
Lawton, OK | 1.87 |
Milwaukee-Waukesha, WI | 1.87 |
Dayton-Kettering-Beavercreek, OH | 1.87 |
Santa Maria-Santa Barbara, CA | 1.87 |
Yuba City, CA | 1.87 |
Panama City-Panama City Beach, FL | 1.87 |
Cincinnati, OH-KY-IN | 1.87 |
Springfield, MO | 1.87 |
Medford, OR | 1.87 |
Cleveland, OH | 1.87 |
Rapid City, SD | 1.87 |
Charleston, WV | 1.87 |
Johnstown, PA | 1.86 |
Punta Gorda, FL | 1.86 |
Jefferson City, MO | 1.86 |
Little Rock-North Little Rock-Conway, AR | 1.86 |
New Orleans-Metairie, LA | 1.86 |
Bangor, ME | 1.86 |
North Port-Bradenton-Sarasota, FL | 1.86 |
Santa Rosa-Petaluma, CA | 1.86 |
Sebastian-Vero Beach-West Vero Corridor, FL | 1.86 |
Oklahoma City, OK | 1.86 |
Asheville, NC | 1.86 |
Tyler, TX | 1.86 |
Hattiesburg, MS | 1.86 |
Charlotte-Concord-Gastonia, NC-SC | 1.86 |
Portland-South Portland, ME | 1.86 |
Watertown-Fort Drum, NY | 1.86 |
Great Falls, MT | 1.86 |
Nashville-Davidson--Murfreesboro--Franklin, TN | 1.86 |
Homosassa Springs, FL | 1.86 |
Sierra Vista-Douglas, AZ | 1.86 |
Spokane-Spokane Valley, WA | 1.86 |
Monroe, LA | 1.86 |
Bismarck, ND | 1.86 |
Portland-Vancouver-Hillsboro, OR-WA | 1.86 |
Bloomington, IN | 1.86 |
Midland, MI | 1.86 |
San Luis Obispo-Paso Robles, CA | 1.85 |
Muncie, IN | 1.85 |
Dallas-Fort Worth-Arlington, TX | 1.85 |
Kahului-Wailuku, HI | 1.85 |
Hinesville, GA | 1.85 |
Lincoln, NE | 1.85 |
Redding, CA | 1.85 |
Laredo, TX | 1.85 |
Pittsburgh, PA | 1.85 |
Abilene, TX | 1.85 |
Waterbury-Shelton, CT | 1.85 |
Provo-Orem-Lehi, UT | 1.85 |
Salt Lake City-Murray, UT | 1.85 |
Phoenix-Mesa-Chandler, AZ | 1.85 |
St. Louis, MO-IL | 1.85 |
Hot Springs, AR | 1.85 |
Columbus, GA-AL | 1.85 |
Omaha, NE-IA | 1.85 |
Cape Girardeau, MO-IL | 1.85 |
Harrisburg-Carlisle, PA | 1.85 |
Kansas City, MO-KS | 1.85 |
Springfield, MA | 1.85 |
Oxnard-Thousand Oaks-Ventura, CA | 1.85 |
Binghamton, NY | 1.85 |
Topeka, KS | 1.85 |
Norwich-New London-Willimantic, CT | 1.85 |
Barnstable Town, MA | 1.85 |
Wilmington, NC | 1.85 |
Carson City, NV | 1.84 |
Killeen-Temple, TX | 1.84 |
Worcester, MA | 1.84 |
Syracuse, NY | 1.84 |
Albuquerque, NM | 1.84 |
Rochester, MN | 1.84 |
Brunswick-St. Simons, GA | 1.84 |
Deltona-Daytona Beach-Ormond Beach, FL | 1.84 |
Manchester-Nashua, NH | 1.84 |
Eugene-Springfield, OR | 1.84 |
Crestview-Fort Walton Beach-Destin, FL | 1.84 |
Macon-Bibb County, GA | 1.84 |
Fayetteville, NC | 1.84 |
Salem, OR | 1.84 |
Columbus, OH | 1.84 |
Grants Pass, OR | 1.84 |
Lansing-East Lansing, MI | 1.84 |
Fort Collins-Loveland, CO | 1.84 |
San Antonio-New Braunfels, TX | 1.84 |
Rochester, NY | 1.84 |
Pensacola-Ferry Pass-Brent, FL | 1.84 |
Jacksonville, FL | 1.83 |
Seattle-Tacoma-Bellevue, WA | 1.83 |
Columbia, SC | 1.83 |
Tucson, AZ | 1.83 |
Myrtle Beach-Conway-North Myrtle Beach, SC | 1.83 |
El Paso, TX | 1.83 |
Madison, WI | 1.83 |
Richmond, VA | 1.83 |
Des Moines-West Des Moines, IA | 1.83 |
Pocatello, ID | 1.83 |
Utica-Rome, NY | 1.83 |
Slidell-Mandeville-Covington, LA | 1.83 |
Providence-Warwick, RI-MA | 1.83 |
Buffalo-Cheektowaga, NY | 1.83 |
Flagstaff, AZ | 1.83 |
Morgantown, WV | 1.83 |
Las Cruces, NM | 1.83 |
Salisbury, MD | 1.83 |
Lubbock, TX | 1.83 |
Burlington-South Burlington, VT | 1.83 |
Hammond, LA | 1.83 |
Kiryas Joel-Poughkeepsie-Newburgh, NY | 1.83 |
Chicago-Naperville-Elgin, IL-IN | 1.83 |
Las Vegas-Henderson-North Las Vegas, NV | 1.82 |
Greenville, NC | 1.82 |
Kingston, NY | 1.82 |
Dover, DE | 1.82 |
Hilton Head Island-Bluffton-Port Royal, SC | 1.82 |
Sebring, FL | 1.82 |
Missoula, MT | 1.82 |
Atlanta-Sandy Springs-Roswell, GA | 1.82 |
Manhattan, KS | 1.82 |
Minneapolis-St. Paul-Bloomington, MN-WI | 1.82 |
State College, PA | 1.82 |
Orlando-Kissimmee-Sanford, FL | 1.82 |
Raleigh-Cary, NC | 1.82 |
Johnson City, TN | 1.82 |
Pinehurst-Southern Pines, NC | 1.82 |
Athens-Clarke County, GA | 1.82 |
Iowa City, IA | 1.81 |
San Jose-Sunnyvale-Santa Clara, CA | 1.81 |
Tampa-St. Petersburg-Clearwater, FL | 1.81 |
Urban Honolulu, HI | 1.81 |
Sacramento-Roseville-Folsom, CA | 1.81 |
Lexington Park, MD | 1.81 |
Pittsfield, MA | 1.81 |
Chico, CA | 1.81 |
Austin-Round Rock-San Marcos, TX | 1.81 |
Hartford-West Hartford-East Hartford, CT | 1.81 |
New Haven, CT | 1.81 |
Miami-Fort Lauderdale-West Palm Beach, FL | 1.81 |
Colorado Springs, CO | 1.81 |
Baltimore-Columbia-Towson, MD | 1.80 |
Champaign-Urbana, IL | 1.80 |
San Diego-Chula Vista-Carlsbad, CA | 1.80 |
Eagle Pass, TX | 1.80 |
Denver-Aurora-Centennial, CO | 1.80 |
Helena, MT | 1.80 |
Atlantic City-Hammonton, NJ | 1.80 |
Santa Cruz-Watsonville, CA | 1.80 |
Albany-Schenectady-Troy, NY | 1.79 |
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 1.79 |
Jacksonville, NC | 1.79 |
Bloomington, IL | 1.79 |
Lawrence, KS | 1.79 |
Brownsville-Harlingen, TX | 1.79 |
Durham-Chapel Hill, NC | 1.78 |
Los Angeles-Long Beach-Anaheim, CA | 1.78 |
College Station-Bryan, TX | 1.78 |
Gainesville, FL | 1.78 |
San Francisco-Oakland-Fremont, CA | 1.78 |
Boston-Cambridge-Newton, MA-NH | 1.78 |
McAllen-Edinburg-Mission, TX | 1.77 |
Columbia, MO | 1.77 |
Boulder, CO | 1.77 |
Charlottesville, VA | 1.77 |
Springfield, IL | 1.76 |
New York-Newark-Jersey City, NY-NJ | 1.76 |
Ann Arbor, MI | 1.76 |
Olympia-Lacey-Tumwater, WA | 1.76 |
Santa Fe, NM | 1.75 |
Corvallis, OR | 1.75 |
Amherst Town-Northampton, MA | 1.75 |
Bridgeport-Stamford-Danbury, CT | 1.75 |
Washington-Arlington-Alexandria, DC-VA-MD-WV | 1.74 |
Trenton-Princeton, NJ | 1.74 |
Tallahassee, FL | 1.74 |
Ithaca, NY | 1.74 |
Source: U.S. Bureau of Labor Statistics. | |
Charts 13 and 14 show wage and projections data, respectively, for the occupations with the highest mechanical skills scores. The occupations in these charts have mechanical skills scores of 3.7 or higher.
Ship engineers, with an annual mean wage of $105,600, elevator and escalator installers and repairers ($104,860), and aircraft mechanics and service technicians ($80,780) were the highest paying occupations among those with the highest scores for mechanical skills. These three occupations all had annual mean wages above the U.S. average of $67,920. The remaining occupations with the highest mechanical skills scores had annual mean wages that were similar to or below the U.S. average wage. Aircraft service attendants ($43,630) and motorcycle mechanics ($49,650) were the lowest paying of these occupations. (See chart 13.)
| Occupation | Annual mean wage |
|---|---|
Ship engineers | 105,600 |
Elevator and escalator installers and repairers | 104,860 |
Aircraft mechanics and service technicians | 80,780 |
Millwrights | 68,640 |
Mobile heavy equipment mechanics, except engines | 67,580 |
Wind turbine service technicians | 67,580 |
Industrial machinery mechanics | 67,160 |
Bus and truck mechanics and diesel engine specialists | 62,480 |
Maintenance workers, machinery | 61,820 |
Electric motor, power tool, and related repairers | 56,820 |
Farm equipment mechanics and service technicians | 55,290 |
Automotive service technicians and mechanics | 55,260 |
Maintenance and repair workers, general | 52,430 |
Motorcycle mechanics | 49,650 |
Aircraft service attendants | 43,630 |
All occupations | 67,920 |
Note: Chart shows occupations with scores of 3.7 or higher for this skill. Source: U.S. Bureau of Labor Statistics. | |
The employment of wind turbine service technicians is projected to increase by 49.9 percent from 2024 to 2034, making it both the fastest growing occupation with a high mechanical skills score and the fastest growing occupation overall. However, because of the small size of the wind turbine service technicians occupation, it is projected to add fewer than 7,000 new jobs. Industrial machinery mechanics (16.1 percent) and farm equipment mechanics and service technicians (11.0 percent) are also projected to grow much faster than the average of 3.1 percent for all occupations. Industrial machinery mechanics is projected to add the largest number of new jobs (70,700) among occupations with the highest mechanical skills scores, followed by general maintenance and repair workers (62,400) and automotive service technicians and mechanics (33,600). (See chart 14.)
| Occupation | Projected employment change, percent | Projected employment change, numeric (in thousands) |
|---|---|---|
Ship engineers | 1.6 | 0.1 |
Elevator and escalator installers and repairers | 5.0 | 1.2 |
Aircraft mechanics and service technicians | 4.0 | 5.6 |
Millwrights | 0.0 | 0.0 |
Mobile heavy equipment mechanics, except engines | 5.8 | 10.9 |
Wind turbine service technicians | 49.9 | 6.8 |
Industrial machinery mechanics | 16.1 | 70.7 |
Bus and truck mechanics and diesel engine specialists | 2.4 | 7.8 |
Maintenance workers, machinery | -2.8 | -1.6 |
Electric motor, power tool, and related repairers | 3.4 | 0.6 |
Farm equipment mechanics and service technicians | 11.0 | 4.3 |
Automotive service technicians and mechanics | 4.2 | 33.6 |
Maintenance and repair workers, general | 3.8 | 62.4 |
Motorcycle mechanics | 5.3 | 0.8 |
Aircraft service attendants | 5.1 | 1.4 |
All occupations | 3.1 | 1 |
1 Not applicable. Note: Chart shows occupations with scores of 3.7 or higher for this skill. Occupations are sorted by the annual mean wage. Source: U.S. Bureau of Labor Statistics. | ||
This article used information from the Employment Projections (EP) and Occupational Employment and Wage Statistics (OEWS) programs at the U.S. Bureau of Labor Statistics (BLS) to take a skills-based look at occupational data. The first half of the article presented an overview of skills scores by various occupational characteristics, including projected employment, typical entry-level education, and science, technology, engineering, and mathematics (STEM) occupations. The results show that adaptability had the highest average skills score across all occupations in 2024. The occupations projected to grow the fastest over the projections decade had a wide variety of top skills, while interpersonal skills and customer service skills were often the most important skills for the jobs projected to add the most employment from 2024–34. The second half focused on critical and analytical thinking skills and mechanical skills to present two case studies on the relationship among occupations, industries, and geographic areas. The analysis in this article found that metropolitan areas with the highest scores for critical and analytical thinking skills also typically had high concentrations of STEM employment. The employment of actuaries and operations research analysts, two occupations with high skills scores for critical and analytical thinking, is projected to increase by 21.8 percent and 21.5 percent, respectively, from 2024 to 2034. Industries with high mechanical skills scores include mining and extraction industries and several construction industries, among others. Among the occupations with high mechanical skills scores, industrial machinery mechanics is expected to experience fast growth (16.1 percent) and the largest increase in employment over the 2024–34 period (70,700 new jobs).
Amy Hopson, and Audrey Watson, "Skills savvy: a skills-based look at occupational data," Monthly Labor Review, U.S. Bureau of Labor Statistics, July 2026, https://doi.org/10.21916/mlr.2026.22
1 This article uses data from the Employment Projections (EP) and Occupational Employment and Wage Statistics (OEWS) programs to look at the importance of skills by occupation. The EP program uses information from the Occupational Information Network (O*NET) to assign scores for 17 skills to each occupation; see “O*NET Online” (Occupational Information Network, last updated May 19, 2026), https://www.onetonline.org/. For more information about skills by occupation, see “Skills data” (U.S. Bureau of Labor Statistics, last modified August 28, 2025), https://www.bls.gov/emp/data/skills-data.htm; and Matthew Dey, Amy Hopson, Emily Krutsch, Meredith Miller, and An Nguyen, "A new data product for occupational skills: methodology, analysis, and a guide to using the employment projections skills data," Monthly Labor Review, October 2024, https://doi.org/10.21916/mlr.2024.19.
2 Skills scores across all occupations and skills scores by education group and science, technology, engineering, and mathematics (STEM) classifications are aggregated using 2024 EP baseline employment as weights.
3 Data by typical entry-level education are based on education and training categories assigned to each occupation by the EP program. Education assignments were aggregated into three groups: no formal educational credential, high school diploma or the equivalent, or some college, no degree; postsecondary nondegree award or associate’s degree; and bachelor’s degree or above. See “Measures of education and training” (U.S. Bureau of Labor Statistics, last modified August 28, 2025), https://www.bls.gov/emp/documentation/education/tech.htm.
4 There are many possible ways to define STEM occupations. This article classifies STEM occupations as computer and mathematical, architecture and engineering, life and physical science, managerial and postsecondary teaching related to these functional areas, and sales occupations requiring scientific or technical knowledge at the postsecondary level. A list of occupations included in the STEM definition is available in the “May 2024 OEWS STEM dataset” (U.S. Bureau of Labor Statistics, May 2024), https://www.bls.gov/oes/2024/may/stem_2024.xlsx. Data on STEM jobs as a percentage of industry and area employment are also from this dataset.
5 Skills scores by industry and metropolitan area are based on unpublished special tabulations of May 2024 OEWS data.
6 Information on industry employment concentrations by metropolitan area is based on Quarterly Census of Employment and Wages private sector location quotient data for May 2024; see “Quarterly Census of Employment and Wages” (U.S. Bureau of Labor Statistics), https://www.bls.gov/cew/.