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Data Entry Keyers vs Mail Clerks and Mail Machine Operators, Except Postal Service

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

A factual, source-backed comparison of Data Entry Keyers and Mail Clerks and Mail Machine Operators, Except Postal Service 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.”

Data Entry Keyers Mail Clerks and Mail Machine Operators, Except Postal Service
Median pay · BLS OEWS
$39,850
$38,150
Employment · BLS OEWS
135,280
62,730
AI exposure (percentile) · task overlap, not automation
92nd pct
24th pct

At a glance

Dimension Data Entry Keyers Mail Clerks and Mail Machine Operators, Except Postal Service
Median pay $39,850 $38,150
Employment 135,280 62,730
Employment outlook (2024–34) · BLS projection Declining (-25.9%) Declining (-6.6%)
Annual openings · BLS projection 9,500 6,900
Typical education · O*NET Usually requires a high school diploma or GED, though some occupations may not. Usually requires a high school diploma or GED, though some occupations may not.
AI exposure · published exposure studies High · 92nd pct Low · 24th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 100th pct · 70% of tasks 78th pct · 41% of tasks
Observed AI use · Anthropic Economic Index Automation-leaning (64.0%)
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, Written Comprehension, Near Vision, Finger Dexterity, Reading Comprehension, Customer and Personal Service, Law and Government, Oral Comprehension, Information Ordering, Perceptual Speed, Speech Recognition, Active Listening, Selective Attention, Monitoring, Speech Clarity, Written Expression, Category Flexibility, Writing, Time Management, Oral Expression, Inductive Reasoning, Speaking, Critical Thinking, Problem Sensitivity, Deductive Reasoning, Mathematics, Coordination, Service Orientation, Far Vision, Education and Training, Social Perceptiveness.

Specific to Data Entry Keyers

  • Administrative
  • Wrist-Finger Speed
  • Public Safety and Security
  • Complex Problem Solving
  • Computers and Electronics
  • Active Learning
  • Flexibility of Closure
  • Time Sharing

Specific to Mail Clerks and Mail Machine Operators, Except Postal Service

  • Manual Dexterity
  • Arm-Hand Steadiness
  • Operations Monitoring
  • Operation and Control
  • Judgment and Decision Making
  • Static Strength
  • Trunk Strength
  • Control Precision

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: Spreadsheet software , Office suite software , Electronic mail software , Word processing software , Accounting software , Data base user interface and query software , Presentation software , Document management software .

Full profiles

This page is a summary. See the complete source-backed profile for Data Entry Keyers or Mail Clerks and Mail Machine Operators, Except Postal Service — 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. "Data Entry Keyers vs Mail Clerks and Mail Machine Operators, Except Postal Service." 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/data-entry-keyers-vs-mail-clerks-and-mail-machine-operators-except-postal-service

APA

Singulariki. (2026). Data Entry Keyers vs Mail Clerks and Mail Machine Operators, Except Postal Service. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/data-entry-keyers-vs-mail-clerks-and-mail-machine-operators-except-postal-service

BibTeX
@misc{singulariki-data-entry-keyers-vs-mail-clerks-and-mail-machine-operators-except-postal-service,
  title  = {Data Entry Keyers vs Mail Clerks and Mail Machine Operators, Except Postal Service},
  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/data-entry-keyers-vs-mail-clerks-and-mail-machine-operators-except-postal-service}
}

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