Compare Occupations

SUMMARY
64%
High Risk
25%
Low Risk
28%
Low Risk
17%
Minimal Risk
46%
Moderate Risk
46%
Moderate Risk
JOB SCORE 2.2/10 5.0/10 4.1/10 5.8/10 6.8/10 3.6/10
POLLING
63%
(High Risk, Based on 23 votes)
41%
(Moderate Risk, Based on 24 votes)
There hasn't been enough votes on this occupation yet
There hasn't been enough votes on this occupation yet
29%
(Low Risk, Based on 49 votes)
33%
(Low Risk, Based on 33 votes)
GROWTH
by year 2034
-1.4%
2.5%
-3.2%
14.6%
5.8%
-4.7%
WAGES
$49,210
or $23.66 per hour
$59,330
or $28.52 per hour
$54,310
or $26.11 per hour
$52,380
or $25.18 per hour
$63,980
or $30.76 per hour
$43,680
or $21.00 per hour
VOLUME
as of 2024
22,520
29,530
31,080
2,780
180,270
5,630
SNOWFLAKE [?] The Snowflake is a visual summary of the five badges: Automation Risk (calculated), Risk (polled), Growth, Wages and Volume. It gives you an instant snapshot of an occupations profile. The colour of the Snowflake relates to its size. The better the occupation scores in relation to others, the larger and greener the Snowflake becomes. Snowflake diagram for Logging Equipment Operators Snowflake diagram for First-Line Supervisors of Farming, Fishing, and Forestry Workers Snowflake diagram for Forest and Conservation Technicians Snowflake diagram for Forest Fire Inspectors and Prevention Specialists Snowflake diagram for Mobile Heavy Equipment Mechanics, Except Engines Snowflake diagram for Forest and Conservation Workers
DESCRIPTION Drive logging tractor or wheeled vehicle equipped with one or more accessories, such as bulldozer blade, frontal shear, grapple, logging arch, cable winches, hoisting rack, or crane boom, to fell tree; to skid, load, unload, or stack logs; or to pull stumps or clear brush. Includes operating stand-alone logging machines, such as log chippers. Directly supervise and coordinate the activities of agricultural, forestry, aquacultural, and related workers. Provide technical assistance regarding the conservation of soil, water, forests, or related natural resources. May compile data pertaining to size, content, condition, and other characteristics of forest tracts under the direction of foresters, or train and lead forest workers in forest propagation and fire prevention and suppression. May assist conservation scientists in managing, improving, and protecting rangelands and wildlife habitats. Enforce fire regulations, inspect forest for fire hazards, and recommend forest fire prevention or control measures. May report forest fires and weather conditions. Diagnose, adjust, repair, or overhaul mobile mechanical, hydraulic, and pneumatic equipment, such as cranes, bulldozers, graders, and conveyors, used in construction, logging, and mining. Under supervision, perform manual labor necessary to develop, maintain, or protect areas such as forests, forested areas, woodlands, wetlands, and rangelands through such activities as raising and transporting seedlings; combating insects, pests, and diseases harmful to plant life; and building structures to control water, erosion, and leaching of soil. Includes forester aides, seedling pullers, tree planters, and gatherers of nontimber forestry products such as pine straw.

Compare Occupations Side by Side

Curious how automation and AI could affect your career? Our comparison tool lets you view two or more jobs side by side, helping you quickly spot differences in risk level, pay, growth, and popularity. All of this is based on a mix of academic research, user polling, and official labour data.

Automation Risk

Each occupation shows a probability of automation. A higher score means machines and algorithms are more likely to take over the role in the future.

Job Score

A quick summary of how a job performs overall — factoring in wages, growth, volume, and automation risk. It’s a handy way to see the bigger picture at a glance.

Polling Data

Thousands of visitors cast their votes on how “automatable” each job feels. These community insights are shown alongside the calculated probabilities.

Growth & Wages

See how fast each occupation is projected to grow and what people earn on average. High wages don’t always mean high security — automation risk still matters.

Volume of Workers

Explore how many people currently work in each occupation and in which year the data was recorded. Popularity can affect how disruptive automation will be for the wider economy.

The Snowflake Diagram

Each snowflake visualises the balance between automation risk, wages, growth, and job volume. Bigger and greener areas mean stronger performance in that dimension.

Use this comparison page to research careers, guide students, or simply explore the future of work. All data is regularly updated to keep the results relevant.