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Forestry and Conservation Science Teachers, Postsecondary vs Mathematical Science Teachers, Postsecondary

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

A factual, source-backed comparison of Forestry and Conservation Science Teachers, Postsecondary and Mathematical Science Teachers, Postsecondary 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.”

Forestry and Conservation Science Teachers, Postsecondary Mathematical Science Teachers, Postsecondary
Median pay · BLS OEWS
$100,830
$79,350
Employment · BLS OEWS
1,310
48,820
AI exposure (percentile) · task overlap, not automation
93rd pct
87th pct

At a glance

Dimension Forestry and Conservation Science Teachers, Postsecondary Mathematical Science Teachers, Postsecondary
Median pay $100,830 $79,350
Employment 1,310 48,820
Employment outlook (2024–34) · BLS projection About average (+4.0%) About average (+2.3%)
Annual openings · BLS projection 100 4,400
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 · 93rd pct High · 87th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 70th pct · 37% of tasks 70th pct · 37% of tasks
Observed AI use · Anthropic Economic Index Augmentation-leaning (65.3%) Augmentation-leaning (65.0%)
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: English Language, Education and Training, Oral Expression, Mathematics, Instructing, Written Comprehension, Reading Comprehension, Writing, Learning Strategies, Oral Comprehension, Written Expression, Active Listening, Speaking, Active Learning, Computers and Electronics, Critical Thinking, Monitoring, Complex Problem Solving, Speech Clarity, Deductive Reasoning, Inductive Reasoning, Speech Recognition, Problem Sensitivity, Near Vision, Social Perceptiveness, Judgment and Decision Making, Time Management, Mathematical Reasoning, Coordination, Systems Evaluation, Fluency of Ideas, Information Ordering, Category Flexibility, Mathematics.

Specific to Forestry and Conservation Science Teachers, Postsecondary

  • Biology
  • Geography
  • Personnel and Human Resources
  • Science
  • Administrative
  • Administration and Management

Specific to Mathematical Science Teachers, Postsecondary

  • Number Facility
  • Originality
  • Service Orientation
  • Memorization
  • Systems Analysis
  • Selective Attention

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: Word processing software , Spreadsheet software , Office suite software , Electronic mail software , Presentation software , Data base user interface and query software , Analytical or scientific software , Computer based training software , Information retrieval or search software , Optical character reader OCR or scanning software , Internet browser software .

Specific to Forestry and Conservation Science Teachers, Postsecondary

Specific to Mathematical Science Teachers, Postsecondary

Full profiles

This page is a summary. See the complete source-backed profile for Forestry and Conservation Science Teachers, Postsecondary or Mathematical Science Teachers, Postsecondary — 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. "Forestry and Conservation Science Teachers, Postsecondary vs Mathematical Science Teachers, Postsecondary." 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; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/compare/forestry-and-conservation-science-teachers-postsecondary-vs-mathematical-science-teachers-postsecondary

APA

Singulariki. (2026). Forestry and Conservation Science Teachers, Postsecondary vs Mathematical Science Teachers, Postsecondary. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/forestry-and-conservation-science-teachers-postsecondary-vs-mathematical-science-teachers-postsecondary

BibTeX 
@misc{singulariki-forestry-and-conservation-science-teachers-postsecondary-vs-mathematical-science-teachers-postsecondary,
  title  = {Forestry and Conservation Science Teachers, Postsecondary vs Mathematical Science Teachers, Postsecondary},
  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; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/compare/forestry-and-conservation-science-teachers-postsecondary-vs-mathematical-science-teachers-postsecondary}
}

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