Upholsterers vs Shoe and Leather Workers and Repairers
Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index
A factual, source-backed comparison of Upholsterers and Shoe and Leather Workers and Repairers 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
| Dimension | Upholsterers | Shoe and Leather Workers and Repairers |
|---|---|---|
| Median pay | $46,190 | $35,950 |
| Employment | 20,990 | 7,640 |
| Employment outlook (2024–34) · BLS projection | Declining (-1.8%) | Declining (-3.8%) |
| Annual openings · BLS projection | 2,200 | 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 | Low · 23rd pct | Low · 9th pct |
| Global GenAI gradient · ILO ISCO-08 · via crosswalk | 26th pct · 18% of tasks | 15th pct · 14% of tasks |
| Observed AI use · Anthropic Economic Index | — | — |
| Mostly remote-capable · Dingel–Neiman | No | No |
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: Arm-Hand Steadiness, Manual Dexterity, Finger Dexterity, Near Vision, Control Precision, Multilimb Coordination, Visual Color Discrimination, Visualization, Critical Thinking, Written Comprehension, Problem Sensitivity, Reading Comprehension, Information Ordering, Trunk Strength, Production and Processing, Active Listening, Speaking, Active Learning, Monitoring, Judgment and Decision Making, Time Management, Oral Comprehension, Oral Expression, Deductive Reasoning, Category Flexibility, Selective Attention, Speech Clarity, Social Perceptiveness, Service Orientation, Operations Monitoring, Inductive Reasoning.
Specific to Upholsterers
- Extent Flexibility
- Design
- Complex Problem Solving
- Originality
- Flexibility of Closure
- Static Strength
- Depth Perception
- Fluency of Ideas
Specific to Shoe and Leather Workers and Repairers
- Speech Recognition
- Customer and Personal Service
- Mechanical
- Coordination
- Reaction Time
- Far Vision
- Sales and Marketing
- Quality Control 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: Accounting software , Spreadsheet software .
Specific to Upholsterers
Specific to Shoe and Leather Workers and Repairers
Full profiles
This page is a summary. See the complete source-backed profile for Upholsterers or Shoe and Leather Workers and Repairers — 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.
- Upholsterers vs Furniture Finishers
- Upholsterers vs Cabinetmakers and Bench Carpenters
- Upholsterers vs Sewers, Hand
- Upholsterers vs Sewing Machine Operators
- Upholsterers vs Carpet Installers
- Upholsterers vs Grinding and Polishing Workers, Hand
- Upholsterers vs Molders, Shapers, and Casters, Except Metal and Plastic
- Upholsterers vs Structural Metal Fabricators and Fitters
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.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Upholsterers vs Shoe and Leather Workers and Repairers." 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/upholsterers-vs-shoe-and-leather-workers-and-repairers
Singulariki. (2026). Upholsterers vs Shoe and Leather Workers and Repairers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/upholsterers-vs-shoe-and-leather-workers-and-repairers
@misc{singulariki-upholsterers-vs-shoe-and-leather-workers-and-repairers,
title = {Upholsterers vs Shoe and Leather Workers and Repairers},
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/upholsterers-vs-shoe-and-leather-workers-and-repairers}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.