Mathematicians vs Statisticians

A factual, source-backed comparison of Mathematicians and Statisticians 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, Critical Thinking, Oral Comprehension, Written Comprehension, Oral Expression, Written Expression, Reading Comprehension, Active Learning, Complex Problem Solving, Deductive Reasoning, Inductive Reasoning, Information Ordering, Category Flexibility, Judgment and Decision Making, Fluency of Ideas, Originality, Problem Sensitivity, Education and Training, Writing, Science, Near Vision, Computers and Electronics, Active Listening, English Language, Speaking, Learning Strategies, Flexibility of Closure, Speech Clarity, Monitoring, Instructing, Systems Analysis, Systems Evaluation, Speech Recognition.

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

Full profiles

This page is a summary. See the complete source-backed profile for Mathematicians or Statisticians — 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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@misc{singulariki-mathematicians-vs-statisticians,
  title  = {Mathematicians vs Statisticians},
  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/mathematicians-vs-statisticians}
}