Statisticians vs Mathematicians

A factual, source-backed comparison of Statisticians and Mathematicians on the dimensions both occupations carry. Every figure is a position within an independent published dataset — not a verdict on which job is better, safer, or more “future-proof.”

At a glance

Pay and employment are BLS OEWS estimates; outlook and openings are BLS 2024–2034 projections; AI exposure and observed-use figures come from separate research and reflect exposure and usage, not predictions that either job will disappear. Compare like with like.

Skills

Shared: Mathematics, Mathematical Reasoning, Mathematics, Number Facility, Computers and Electronics, Written Comprehension, Reading Comprehension, Critical Thinking, Oral Comprehension, Oral Expression, Written Expression, Inductive Reasoning, Near Vision, English Language, Active Listening, Speaking, Complex Problem Solving, Deductive Reasoning, Writing, Active Learning, Information Ordering, Category Flexibility, Speech Clarity, Science, Judgment and Decision Making, Fluency of Ideas, Problem Sensitivity, Learning Strategies, Speech Recognition, Monitoring, Systems Analysis, Systems Evaluation, Originality, Flexibility of Closure, Education and Training, Instructing.

Knowledge, skills & abilities O*NET rates as important for each occupation. “Shared” are common to both; the columns list what is distinctive to each (top by the order O*NET surfaces).

Tools & technology

Shared: Analytical or scientific software , Spreadsheet software , Office suite software , Object or component oriented development software , Data base user interface and query software , Business intelligence and data analysis software , Data base management system software , Enterprise application integration software , Operating system software , Presentation software , Development environment software , Word processing software .

Full profiles

This page is a summary. See the complete source-backed profile for Statisticians or Mathematicians — tasks, the full skill graph, tools, work context, preparation, wages by percentile, industries, AI exposure and the AI work map.

More comparisons

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• Statisticians vs Computer and Information Research Scientists

@misc{singulariki-statisticians-vs-mathematicians,
  title  = {Statisticians vs Mathematicians},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/compare/statisticians-vs-mathematicians}
}