Whites in hard sciences. AI

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What percentage of white U.S. adults are in a math or hard science line of work? Same question for 1992

Recent data (around 2021–2023): Approximately 8–9% of employed white U.S. adults work in STEM occupations (including computer/mathematical, architecture/engineering, life/physical sciences, and related fields). This estimate comes from STEM comprising about 24% of the total U.S. workforce, with whites making up roughly 64–67% of STEM workers and about 60–62% of the overall employed adult population. Whites are slightly overrepresented in STEM relative to their share of the workforce.

Narrower "math or hard science" fields (e.g., computer/mathematical sciences, physical sciences, excluding broader life/social sciences or engineering) likely yield a lower percentage, around 4–6%, as these subfields represent a subset of STEM.

For 1992 (or early 1990s): Data on core science and engineering (S&E) occupations—a closer match to "math or hard science"—show a higher percentage, estimated at 10–12% of employed white U.S. adults. In the early 1990s, whites comprised about 83–84% of S&E/STEM workers, while representing around 75–80% of the employed population, and S&E occupations were a smaller share of the total workforce than today's broader STEM (which has grown with computing and health-related jobs).

The decline reflects the expansion of the overall workforce, immigration (especially Asians in STEM), and diversification of occupations, even as absolute numbers of whites in these fields have grown.

These figures derive from NSF Science & Engineering Indicators, Pew Research Center analyses, and BLS data, focusing on employed adults (typically ages 16–75 or 25+). Exact percentages vary slightly by precise definition of "hard science" and inclusion of related fields like engineering.

Include engineering and medical statistics

Recent data (2021–2023):

Approximately 9–10% of employed white U.S. adults work in broad STEM occupations, which include computer/mathematical sciences, architecture/engineering, life/physical/social sciences, and health-related/medical fields (e.g., physicians, nurses, healthcare practitioners). This is based on STEM comprising ~24% of the total U.S. workforce, with whites making up ~64–65% of STEM workers while representing ~58–60% of employed U.S. adults overall (whites are slightly overrepresented in STEM).

Engineering (including architecture): Whites comprise ~70–75% of these workers, contributing ~2–3% to the overall percentage for white adults.

Medical/health-related fields (the largest STEM cluster, ~50% of broad STEM): Whites are ~60–65% of these workers (due to higher diversity in nursing/health tech), contributing ~4–5%.

Narrower "math or hard science" (computer/math, physical sciences, excluding broader life sciences/engineering/medical): ~4–5%.

For 1992 (early 1990s):

Estimated at 12–14% of employed white U.S. adults in core science and engineering (S&E) occupations (closer to math/hard science + engineering, excluding broad medical/health). In the early 1990s, whites comprised ~80–85% of S&E workers, while S&E was ~4–5% of the total workforce (whites ~75–80% of employed adults). Including emerging medical fields would push this higher, toward 15%.

The apparent decline reflects:

Growth of broad STEM definitions (especially health/medical jobs, which diversified faster). Increased Asian and Hispanic representation in core STEM. Overall workforce expansion and demographic shifts. Figures are from NSF Science & Engineering Indicators (2022–2024), Pew Research Center (2021), and BLS data, focusing on employed adults (typically ages 25+ or 16–75). Percentages vary slightly by exact occupational definitions (e.g., inclusion of skilled technical or health support roles).

Try again. Percentage of white workforce who needed math skill on the job at the level of high school algebra in 1992 and now

Recent data (2020s):

Approximately 20–25% of employed U.S. adults report using math on the job at a level beyond basic arithmetic, fractions, or percentages—i.e., involving high school algebra or higher (such as equations, geometry, or more advanced calculations). This comes from analyses of occupational requirements and worker surveys, where "any more advanced math" (including algebra through calculus) is used by less than a quarter of workers. A separate breakdown indicates about 19% use math at the Algebra 1 level, with higher levels dropping further.

Since whites comprise ~58–60% of the employed workforce and are distributed across occupations similarly to the overall population (slightly overrepresented in some professional fields but not dramatically shifting math-use rates), the percentage for white workers is comparable: ~20–25%.

For 1992 (or early 1990s):

Direct comparable data from the early 1990s is limited, but workforce trends suggest a similar or slightly lower range, likely 15–22%. The economy had fewer data-intensive or tech-related roles compared to today, and surveys from the mid-2000s (reflecting skills developed in prior decades) consistently show low advanced math use. High-skill blue-collar jobs (e.g., trades) often required algebra-level math more than white-collar roles at the time, but overall demand was not markedly higher.

The figures have remained relatively stable despite technological advances, as many jobs rely on software for complex calculations rather than manual algebra. Skilled blue-collar workers tend to use algebra-level math more frequently than many white-collar roles.

These estimates are derived from sociologist Michael Handel's surveys (2004–2009, widely cited for workforce math use), Georgetown University Center on Education and the Workforce analyses (using O*NET occupational data), and related reports from sources like The Atlantic and Education Week. Exact percentages vary by definition (e.g., "required" vs. "used daily"), but algebra-level need/use affects a minority of the workforce in both periods. No significant racial differentials in math skill requirements were identified beyond occupational distribution.