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Economists vs Statisticians

Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index

A factual, source-backed comparison of Economists 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.”

Economists Statisticians
Median pay · BLS OEWS
$115,440
$103,300
Employment · BLS OEWS
15,880
29,800
AI exposure (percentile) · task overlap, not automation
94th pct
92nd pct

At a glance

Dimension Economists Statisticians
Median pay $115,440 $103,300
Employment 15,880 29,800
Employment outlook (2024–34) · BLS projection About average (+1.2%) Growing fast (+8.5%)
Annual openings · BLS projection 900 2,000
Typical education · O*NET Most of these occupations require graduate school. For example, they may require a master's degree, and some require a Ph.D., M.D., or J.D. (law degree). Most of these occupations require graduate school. For example, they may require a master's degree, and some require a Ph.D., M.D., or J.D. (law degree).
AI exposure · published exposure studies High · 94th pct High · 92nd pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 93rd pct · 55% of tasks 94th pct · 56% of tasks
Observed AI use · Anthropic Economic Index Augmentation-leaning (67.5%) Augmentation-leaning (54.2%)
Mostly remote-capable · Dingel–Neiman Yes Yes

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

Specific to Economists

  • Economics and Accounting
  • Social Perceptiveness
  • Persuasion
  • Service Orientation

Specific to Statisticians

  • Science
  • Programming
  • Flexibility of Closure
  • Operations Analysis

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

Full profiles

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

More comparisons

Related occupations you can place side by side on the same sourced scale.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Economists vs Statisticians." Singulariki: a source-backed encyclopedia of work. Built from 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. https://singulariki.com/compare/economists-vs-statisticians

APA

Singulariki. (2026). Economists vs Statisticians. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/economists-vs-statisticians

BibTeX
@misc{singulariki-economists-vs-statisticians,
  title  = {Economists 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/economists-vs-statisticians}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.