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SOC 45-4022
This page covers O*NET 45-4029.00 Logging Workers, All Other. O*NET defines the All Other title as an aggregate of logging occupations not listed separately, officially described as all logging workers not listed separately, and explicitly provides no occupational-level task, interest code, or work context details. This page therefore uses BLS wage, employment, and industry statistics to describe its US market scope and provides an editorial synthesis of typical work from publicly available general knowledge of logging: tree felling and delimbing, skidding and transfer, log bucking and grading, equipment inspections, and safety records. These are not presented as this title's official task list. Verify separately against individually listed fallers, logging equipment operators, and log graders and scalers.
Model impact index for three equally weighted representative core tasks; not a measured share of working time or a job-loss probability. floor((0+0+75)/3+0.5)=25; fermatmind-ai-impact-v1; 2026-10-18.
The core work in the Logging Workers, All Other category is turning forest trees into timber ready for transfer and delivery: felling and delimbing trees under work plans, using hand tools or machinery for skidding and transfer, bucking to specifications and grading by characteristics, and completing equipment inspections, protective measures, and work records. O*NET provides no task-level data for this title. The content above is an editorial synthesis of publicly available general knowledge of logging work for career exploration.
The following judgments concern on-site work in the Logging Workers, All Other category. They do not predict hiring, qualifications, authorization, or contract outcomes.
Sample output and reflection: check whether work boundaries and safety conditions were confirmed first, bucking followed specifications and records were retained, and work anomalies were reported. Then ask yourself whether you can remain focused during outdoor forest and physical work, strictly follow safety procedures, and accept responsibility for work records and safety.
Logging Workers, All Other on this page refers to O*NET 45-4029.00. O*NET defines this All Other title as all logging workers not listed separately and explicitly provides no occupational-level tasks, interests, or work context data. This page therefore uses BLS wage, employment, and industry statistics to describe its US market scope and provides an editorial synthesis of typical content from publicly available general knowledge of logging work. Verify it separately from individually listed occupations such as fallers, logging equipment operators, and log graders and scalers.
Check first: shift plans and harvesting-area boundaries, work safety conditions and personal protection, tool or machinery condition, log specifications and grading definitions, and work and anomaly records to retain.
Career direction comparison
The following compares this aggregate title and adjacent roles by actual work objects, core deliverables, and responsibility boundaries. Titles do not make qualifications interchangeable.
| Career direction | Core work and output | Key differences | Best-fit choice |
|---|---|---|---|
| Agricultural Equipment Operators | Agricultural equipment operators use farm machinery for cultivation and harvesting. Logging positions in this aggregate category carry out tree harvesting and skidding in forests, with different work objects and safety procedures. | Operate farm machinery for cultivation and harvesting. | Compare if you prefer agricultural machinery. |
| Fallers (separately listed) | Fallers are a separately listed occupation with O*NET task and skill scopes. This page covers an aggregate title for workers not separately listed; verify it separately from fallers. They cannot replace one another. |
AI impact on this career
Editorial hypothesis: practice information organization using fictional forest shifts and records. This aggregate category has no occupational-level task data. No claim is made that remote control performs hazardous tasks or which role will be replaced first. Tool capabilities, safety controls, and adoption outcomes require independent empirical evidence. AI Impact Score 25% is an editorial estimate. Model impact index for three equally weighted representative core tasks; not a measured share of working time or a job-loss probability. floor((0+0+75)/3+0.5)=25; fermatmind-ai-impact-v1; 2026-10-18.The three tasks, ratings and sources are listed in the FermatMind method source record on this page.
FermatMind AI Impact Score estimation method v1
FermatMind / 费马测试 · 2026-10-18
Editorial ratings use the existing occupational responsibilities and AI task analysis on this page. They are not adoption rates, measured effects, job-disappearance or personal-unemployment probabilities, or official scores from Stanford or another external institution. No measured time weights or future robot deployment are assumed.
Chinese mainland salary reference
Statistical scope: the National Bureau of Statistics 2025 average annual wage for employed persons in agriculture, forestry, animal husbandry, and fishing was 74,424 yuan per year for urban non-private units and 46,552 yuan per year for urban private units. The nationwide total for urban non-private units was 129,441 yuan per year. All are industry-level statistics, not this occupation's median or starting pay.
Category boundary: the Ministry of Human Resources and Social Security publishes enterprise compensation survey information by occupation / position, which can be used to look up related forestry pay. This page did not obtain an entry matching O*NET 45-4029.00 exactly and does not treat it as this occupation's national median. Refer to competent authorities' publications for specifics.
Only average annual wages are published
U.S. salary reference
The table below shows US nationwide 2025 OEWS wage percentiles. Median wages and hourly values are used separately as reported by the occupational source. Separate employment projections are 2,400 workers in 2025 and 2,200 in 2035, -8% growth over 2025—2035, and 300 average annual openings from growth and replacement.
| Percentile | Annual reference | Hourly equivalent | Explanation |
|---|---|---|---|
| 10th percentile | $36,380 per year | $17.49 per hour | 10th percentile boundary, not a personal pay quote. |
| Median (50%) | $50,840 per year | $24.44 per hour |
Fit signals
To assess fit, first consider whether you can maintain focus and safety during outdoor forest and physical work, strictly follow safety procedures, complete bucking and records to specifications, and accept responsibility for work and safety. These signals are an editorial synthesis and cannot replace real task experience.
Positive signals: Positive signals (editorial synthesis): strong practical skills, alertness outdoors and across changing terrain, and willingness to follow procedures and record truthfully.
Conditions for caution: Conditions for caution (editorial synthesis): difficulty adapting to outdoor and physical work or maintaining focus, or a tendency to skip safety steps under deadline pressure.
Trial action: Trial action: use an entirely fictional forest work scenario to write the work sequence, safety points, bucking judgments, and anomaly reporting records. Ask another person to review the records.
Risks and boundaries
Risks must be handled in terms of triggers, consequences, controls, and escalation boundaries. Risks on this page are an editorial synthesis.
The 45-4029 aggregate category has no occupational tasks or work context. The six risks are editorial forestry scenario examples, not accident rates for this category. Verify safety training against US applicability under OSHA1910.266, and check China separately. These do not replace specific procedures.
Typical scenario:When the felling direction or fall zone is judged incorrectly.
Roles most affected:Harvesting positions
Possible consequence:May cause personal injury.
How to reduce risk:Confirm the fall zone and follow procedures; stop when conditions are insufficient.
Entry paths
O*NET explicitly provides no occupational-level task, education, or interest data for the 45-4029.00 aggregate category. This round did not establish a fixed training duration for it; do not borrow equipment operators' Job Zone. Verify training, education, and authorization for the specific target position separately.
Market signals
US O*NET / BLS: employment of 2,400 in 2025, projected 2,200 in 2035, -8% growth over 2025—2035, and 300 average annual openings from growth and replacement. Occupational projections are neither current hiring samples nor individual hiring probabilities.
Nationwide United States · O*NET 45-4029.00 (Nationwide United States)
O*NET45-4029.00 aggregate-category industry employment in 2025: agriculture, forestry, animal husbandry, and fishing 58%. There are no occupational-level task data; industry shares do not define an individual's work.
Employment size and growth
Employment size, growth rates, and job openings must be interpreted separately.
Does not establish:Cannot serve as an individual employment guarantee.
This page covers O*NET 45-4029.00 Logging Workers, All Other. O*NET defines this title as all logging workers not listed separately and explicitly provides no occupational-level tasks, interests, or work context data. This page uses BLS wage, employment, and industry statistics to describe US market scope and provides an editorial synthesis of typical content from publicly available general knowledge of industry work. It is distinct from separately listed fallers, logging equipment operators, or log graders and scalers.
Choose a real task from this page for a small practice project or a conversation with someone in the field. Use the planning guides to set a date, an output and feedback questions before deciding whether to continue.
This is a review of an entirely fictional work sample, not a personality diagnosis, hiring conclusion, or safety qualification assessment.
Entirely fictional work sample: provide a fictional forest work scenario containing 1 harvesting-area boundary, 1 skidding route, 1 log requiring bucking to specifications, and 1 work anomaly requiring reporting. Within 45 minutes, write the work sequence, safety points, bucking judgments, and anomaly reporting records. Do not use real forest-site, land-parcel, or company data.
Work cycle: start with pre-shift briefing and safety preparation, proceed through confirming conditions, felling and delimbing, skidding and transfer, and bucking and grading, then record and hand over the shift. Do not proceed until safety conditions and specifications are confirmed.
| Dimension | Primary track | Comparison track |
|---|---|---|
| Work cycle | From pre-shift preparation to shift handover | |
| Step one | Pre-shift briefing and safety preparation | |
| Step two | Confirm harvesting areas and working conditions | |
| Step three | Felling and delimbing | |
| Step four | Skidding and transfer | |
| Step five | Buck to specifications and grade | |
| Step six | Records and shift handover |
Insufficient evidence: O*NET provides no task-level data for 45-4029.00 Logging Workers, All Other (2026 official public scope). The following is an editorial synthesis: inputs include trees and harvesting areas, felling and delimbing tools, skidding and transfer tools or machinery, log specifications and grading standards, personal protective equipment, and work records.
Checkable outputs (editorial synthesis): planned felling and delimbing quantities, skidding and transfers along routes, logs meeting specifications, and work safety and inspection records.
Full workflow (editorial synthesis): pre-shift briefing and safety preparation → confirm the harvesting area and working conditions → fell and delimb → skid and transfer → buck to specifications and perform preliminary grading → record and hand over the shift.
This title is an O*NET aggregate category with no occupational-level qualification data. Based on publicly available general industry knowledge (editorial synthesis), these positions mostly receive on-the-job training. Training does not equal equipment operation authorization. This page does not assess individual eligibility.
Logging Workers, All Other: Work Objects and AI Boundaries Editorial hypothesis: practice information organization using fictional forest shifts and records. This aggregate category has no occupational-level task data. No claim is made that remote control performs hazardous tasks or which role will be replaced first. Tool capabilities, safety controls, and adoption outcomes require independent empirical evidence.
| A separately listed occupation with official task and skill scopes. |
| Compare if you prefer a clearly defined official scope. |
| Log Graders and Scalers | Log graders and scalers determine grades and volumes for settlement. Positions in this aggregate category mainly involve tree harvesting and skidding; grading is only a possible incidental task. | Determine grades and volumes for settlement. | Compare if you prefer scaling judgments. |
|---|
| Operating Engineers and Construction Equipment Operators | Operating engineers and construction equipment operators use machinery in earthmoving and construction settings. Logging positions in this aggregate category work on forest terrain with different equipment and procedures. | Operate machinery in earthmoving and construction settings. | Compare if you prefer earthmoving machinery. |
|---|
First use reviewable work records, safety checklists, and bucking explanations to verify work objects, methods, and boundaries, then assess the direction. Do not assign a single ranking based on income or personality.
Next, turn comparison results into small-scale exercises and on-site observations that can be stopped.
Describe only specific steps tools can assist; do not treat demonstrations as institutional adoption.
Check data sources, system reliability, and review responsibility. This page has no adoption rate for the individual occupation.
Without occupational-level job outcome studies, do not infer layoff timing, staffing changes, or hiring probabilities.
| Work area | Task | Current change | Human control point |
|---|---|---|---|
| Felling and delimbing | Fell and delimb (editorial synthesis) | Editorial suggestion: test record organization only with fictional materials. Current evidence establishes neither remote operation capabilities, safety effects, nor industry adoption. | Confirm work and safety conditions. |
| Skidding and transfer | Skidding and transfer (editorial synthesis) | May assist with route planning | Base decisions on on-site safety conditions and work records, retaining human confirmation and shift records. |
| Safety and authorization | Safety stops and reporting | Do not make automated safety judgments | Stop and report under procedures. |
| Records and handover | Complete work and safety records | May assist with records | Confirmed by the crew and personnel on duty. |
AI discussion on this page is an editorial synthesis. O*NET provides no task-level data for this title. Tool capabilities, organizational adoption, and job outcomes must be recorded separately; wage or employment data do not substitute for AI evidence.
Editorial task breakdown: the assistance steps above are candidates for validation. This round obtained neither a ranking of automation difficulty across steps nor evidence of actual adoption outcomes. On-site judgment and authorized responsibilities require confirmation by the personnel responsible for the role.
AI primarily changesEditorial candidates for validation: records and planning
Human responsibility remainsOn-site work and safety judgments
AI primarily changesEditorial candidate for validation: record organization
Human responsibility remainsWork record verification
Human control points are confirming work and safety conditions, bucking to specifications, stopping and reporting immediately when anomalies arise, and taking responsibility for work records and safety.
Confirm shift plans and safety conditions.
Work only within authorization and tool scope.
Review safety conditions and bucking specifications.
Stop immediately and report anomalies.
May cause personal injury.
Control: Confirm the fall zone and follow procedures.
May cause injuries.
Control: Confirm conditions and adjust or suspend work under procedures.
Affect traceability and safety.
Control: Complete records truthfully and retain them.
Practice protective measures and basic work.
Retain work and safety records.
Establish safety and authorization rules first.
Task exposure, adoption, and job outcomes are different things to measure; they cannot establish dates for job cuts.
Source: O*NET 45-4029.00 Logging Workers, All OtherOriginal source ↗
Editorial hypothesis: practice information organization using fictional forest shifts and records. This aggregate category has no occupational-level task data. No claim is made that remote control performs hazardous tasks or which role will be replaced first. Tool capabilities, safety controls, and adoption outcomes require independent empirical evidence.
Source: O*NET 45-4029.00 Logging Workers, All OtherOriginal source ↗
Insufficient evidence: this round obtained no AI adoption rate, time-saving data, or causal employment study for this occupation.
Source: O*NET 45-4029.00 Detailed Profile Entry PointOriginal source ↗
First conduct offline verification exercises using entirely fictional forest work scenarios, recording judgments and escalation paths. Do not let unverified automated prompts replace on-site inspections.
Only average annual wages are published
Insufficient evidence: not separately listed
Insufficient evidence: this round did not establish a separate wage match for this occupation. The industry averages below are broad proxies, not occupational medians, starting pay, or take-home income.
| Position scope | Reference value | Explanation |
|---|---|---|
| Not separately measured | According to company and position appointments | National Bureau of Statistics wage statistics are organized by industry and registration type, not educational tiers within this occupation. |
| Not separately measured | According to company and position appointments | National Bureau of Statistics wage statistics are organized by industry and registration type, not educational tiers within this occupation. |
| Not separately measured | According to company and position appointments | National Bureau of Statistics wage statistics are organized by industry and registration type, not educational tiers within this occupation. |
| Not separately measured | According to company and position appointments | National Bureau of Statistics wage statistics are organized by industry and registration type, not educational tiers within this occupation. |
74,424 yuan per year
46,552 yuan per year
129,441 yuan per year
Insufficient evidence: no nationwide occupational median wage, statistical period, or definition corresponding to Logging Workers, All Other in mainland China was obtained. This page shows only an industry proxy labeled as industry-level data; it does not fill the gap with proxy figures or US figures.
| 2025 nationwide US median annual wage. |
| 90th percentile | $69,350 per year | $33.34 per hour | 90th percentile boundary, not a personal pay quote. |
|---|
Pay · 10th percentile:$36,380 per year;O*NET 45-4029.00 National Wages (BLS OEWS Display)
Pay · 25th percentile:$41,900 per year;O*NET 45-4029.00 National Wages (BLS OEWS Display)
Pay · median:$50,840 per year;O*NET 45-4029.00 National Wages (BLS OEWS Display)
Pay · 75th percentile:$61,450 per year;O*NET 45-4029.00 National Wages (BLS OEWS Display)
Pay · 90th percentile:$69,350 per year;O*NET 45-4029.00 National Wages (BLS OEWS Display)
US dollars per year; BLS 2025 OEWS nationwide scope, not personal take-home income.
Employment count in 2025, not currently advertised positions.
-8% growth over 2025—2035; establishes neither individual hiring probabilities nor AI causation.
Listed separately under O*NET / BLS industry definitions; does not represent the income of all workers.
| Industry | Industry value | How to interpret |
|---|---|---|
| Agriculture, forestry, animal husbandry, and fishing | Not separately listed | Insufficient evidence: this round obtained no wage subtable for this occupation by industry. Overall percentiles cannot stand in for industry-specific median wages. |
| Other industries | Not separately listed | Insufficient evidence: this round obtained no wage subtable for this occupation by industry. Overall percentiles cannot stand in for industry-specific median wages. |
| Industry scope note one | See employment row | Insufficient evidence: this round obtained no wage subtable for this occupation by industry. Overall percentiles cannot stand in for industry-specific median wages. |
| Industry scope note two | See employment row | Insufficient evidence: this round obtained no wage subtable for this occupation by industry. Overall percentiles cannot stand in for industry-specific median wages. |
The aggregate category has no occupational education data. Verify training duration and operating authorization for the specific trade.
Editorial suggestion: ask specific employers about the actual trade, training, and work-record requirements. There is no comparative study showing experience is superior to education for this aggregate category.
Verify forestry regions and actual employer conditions separately; nationwide percentiles do not estimate seasonal wage effects.
O*NET occupational interest baseline
Do not decide on a career using a single code.First observe interest, stress, and experience during real work and safety exercises.
Activity preferences can only help design trials; they cannot determine qualifications or safety credentials.
Check with work samples rather than replacing judgment with labels.
Insufficient evidence: O*NET provides no RIASEC interest code for 45-4029.00 Logging Workers, All Other. This page does not invent interest labels; fit judgments rely on editorial synthesis and real work experience.
Do not use it this way: These cannot establish hiring, qualifications, or performance.
Start a career interest trialCheck with work samples rather than replacing judgment with labels.
Insufficient evidence: this round obtained no personality validity study for 45-4029.00. Do not invent RIASEC values. Use paper record samples for specific target work to observe verification behavior; they do not replace authorization.
Do not use it this way: These cannot establish hiring, qualifications, or performance.
Start a career interest trialCheck with work samples rather than replacing judgment with labels.
Type tools such as MBTI and the Enneagram cannot determine competence or qualifications; they may only support self-reflection.
Do not use it this way: These cannot establish hiring, qualifications, or performance.
Start a career interest trialCheck with work samples rather than replacing judgment with labels.
Further verification requires real tasks, responsibility boundaries, and reviewable deliverables.
Do not use it this way: These cannot establish hiring, qualifications, or performance.
Start a career interest trialCheck with work samples rather than replacing judgment with labels.
Further verification requires real tasks, responsibility boundaries, and reviewable deliverables.
Do not use it this way: These cannot establish hiring, qualifications, or performance.
Start a career interest trialCheck with work samples rather than replacing judgment with labels.
Further verification requires real tasks, responsibility boundaries, and reviewable deliverables.
Do not use it this way: These cannot establish hiring, qualifications, or performance.
Start a career interest trialFits better when: Able to fell and delimb under procedures (editorial synthesis).
Watch for: Must confirm the fall zone.
Fits better when: Able to complete skidding and transfer along routes (editorial synthesis).
Watch for: Must maintain safe distances.
Fits better when: Able to buck to specifications (editorial synthesis).
Watch for: Must verify specification definitions.
Fits better when: Willing to wear protection and follow procedures.
Watch for: Anomalies require stopping and reporting.
Fits better when: Able to inspect and maintain tools and equipment (editorial synthesis).
Watch for: Faults require shutdown and reporting.
Fits better when: Able to complete work records truthfully.
Watch for: Records must be accurate.
Use this page's work sample to check environmental adaptation and focus.
Check protection and operating requirements against position procedures.
Honestly assess whether you suspend work under procedures.
Shut down and report first, then refer it to maintenance.
Assess your ability to adapt to working seasons and shifts.
Assess your acceptance of safety procedures and reporting requirements.
Enable others to review work and safety records.
Use fictional materials to write paper-based work and escalation records. Do not independently operate tools or machinery or harvest trees.
Evidence:OSHA1910.266
Typical scenario:When personnel have not cleared the work area during skidding and transfer.
Roles most affected:Skidding and transfer positions
Possible consequence:May cause collision or crushing injuries.
How to reduce risk:Confirm personnel have cleared the area, maintain safe distances, and coordinate through signals.
Evidence:OSHA1910.266
Typical scenario:When work is not adjusted on steep slopes, soft ground, or in severe weather.
Roles most affected:Forest operating positions
Possible consequence:May cause equipment rollover or personal injury.
How to reduce risk:Adjust or suspend work according to terrain and weather conditions and report.
Evidence:OSHA1910.266
Typical scenario:When tools or machinery enter use without inspection.
Roles most affected:Tool and equipment use positions
Possible consequence:May cause cuts or mechanical failure.
How to reduce risk:Inspect and maintain under procedures; stop and report anomalies.
Evidence:OSHA1910.266
Typical scenario:When work or safety records differ from reality.
Roles most affected:Recordkeeping positions
Possible consequence:May affect traceability and safety.
How to reduce risk:Complete records truthfully and retain them.
Evidence:OSHA1910.266
Typical scenario:When equipment or system prompts are used as the basis for work without on-site verification.
Roles most affected:Operating positions
Possible consequence:May lead to incorrect operations when on-site conditions change.
How to reduce risk:Base decisions on on-site safety conditions and work records, retaining human confirmation.
Evidence:OSHA1910.266
Typical scope:Entry stage (editorial synthesis): practice basic felling and delimbing, protective measures, skidding coordination, and bucking to specifications under supervision. Retain work-process records.
Readiness evidence:Evidence to demonstrate: use a reviewable work record, safety checklist, and bucking explanation to show procedural execution and safety coordination.
Credential boundary:Verify employer and safety training requirements.
Next moves:Next step: verify the target company or forest site's work categories, authorization, and safety training requirements, then validate harvesting, skidding, and bucking skills during supervised real work.
Typical scope:Complete felling, delimbing, and skidding assistance under supervision.
Readiness evidence:Retain work and safety records.
Credential boundary:Verify company and position requirements.
Next moves:Moving toward greater responsibility (editorial synthesis): with experience, take responsibility for more complex work areas, instruct new workers, or transition to the separately listed felling, skidding equipment, or scaling roles mentioned above.
Typical scope:Responsible for complex work areas and instruction (editorial synthesis).
Readiness evidence:Retain complex work and instruction records.
Credential boundary:Verify company requirements.
Next moves:Add evidence of complex work and instruction.
Typical scope:Responsible for shift organization and on-site safety (editorial synthesis).
Readiness evidence:Retain organizational and safety records.
Credential boundary:Verify company requirements.
Next moves:Add evidence of management and safety responsibility.
Typical scope:Verify log species, dimensions, and defect labels under supervision
Readiness evidence:Retain raw dimensions, standard versions, and learning records
Credential boundary:Verify target scaling training and site permission separately
Next moves:Learn target species grading and volume conversion
Typical scope:Record dimensions and volume under target standards and remeasure disputes
Readiness evidence:Retain conversion evidence and signed remeasurement confirmations
Credential boundary:The target company verifies signing authorization
Next moves:Practice mixed-species and defect remeasurement
Typical scope:Handle grading disputes and differences in conversion definitions
Readiness evidence:Dispute samples, remeasurement, and version-change records
Credential boundary:Verify review authority separately
Next moves:Build batch-quality and procurement-specification verification skills
Typical scope:Organize scaling reviews, batch quality, and settlement-definition handovers
Readiness evidence:Quality review, spot-check, and anomaly-handling records
Credential boundary:Verify company quality and signing appointment requirements
Next moves:Expand quality inspection instruction and process improvement
Typical scope:Organize log yards and records under supervision.
Readiness evidence:Retain yard and record materials.
Credential boundary:Verify employer requirements.
Next moves:Build yard and safety knowledge.
Typical scope:Responsible for yard and transportation coordination (editorial synthesis).
Readiness evidence:Retain coordination and transportation records.
Credential boundary:Verify company and position requirements.
Next moves:Build coordination and planning knowledge.
Typical scope:Responsible for work-area organization and safety supervision (editorial synthesis).
Readiness evidence:Retain organizational and safety records.
Credential boundary:Verify company requirements.
Next moves:Build site and safety knowledge.
Typical scope:Responsible for personnel and operating safety management (editorial synthesis).
Readiness evidence:Retain team and safety records.
Credential boundary:Verify company requirements.
Next moves:Add evidence of management responsibility.
Confirm shift plans and safety conditions (editorial synthesis).
Work under procedures and retain records (editorial synthesis).
Produce reviewable work and safety records.
Expand crew leadership and coordination duties within authorization.
Nationwide United States · O*NET 45-4029.00 (Nationwide United States)
300 openings per year (growth and replacement)
Average annual job openings
Includes replacement and new demand; not the number of positions currently advertised.
Does not establish:Cannot serve as an individual hiring probability.
Nationwide United States · O*NET 45-4029.00 (Nationwide United States)
$50,840 per year
Median annual wage
BLS 2025 OEWS nationwide median, not starting pay or take-home income.
Does not establish:Does not represent personal take-home income.
These are capability relationships, not automatic promotions or credential waivers.
Transfers:Transferable capabilities (editorial synthesis): tree felling and delimbing, skidding and transfer, bucking to specifications, protective measures, and work records.
Build next:Transitioning to agricultural equipment operation requires crop and field-condition knowledge, sowing and harvesting, and target farm machinery training and authorization. Forest experience does not automatically cover these.
View career profileTransfers:Foundation in outdoor and forestry work.
Build next:Need to add the official task and skill scope of the separately listed occupation.
View career profileTransfers:Basic knowledge of logs and grading.
Build next:Need to add grade determination and volume conversion skills.
View career profileTransfers:Foundation in machinery operation and safety.
Build next:Need to add earthmoving and lifting equipment operation skills.
View career profileTransfers:Foundation in loading machinery operation.
Build next:Need to add surface-mine operating procedures.
View career profileTransfers:General knowledge of forest harvesting and skidding.
Build next:Need to add equipment operation skills and operating authorization.
View career profileSeparately listed fallers, logging equipment operators, and log graders and scalers each have official task and skill scopes. This page covers an aggregate title for workers not separately listed, for which O*NET provides no occupational-level data. Verify it separately from those individual occupations; they cannot replace one another.
This page provides an editorial synthesis: observable signals include strong practical skills, alertness outdoors and across changing terrain, and willingness to follow procedures and record truthfully. O*NET provides no RIASEC interest code for this title; this page does not invent interest labels.
Equipment monitoring, work planning, and remote-controlled machinery may assist with status recording, route planning, and hazardous tasks. However, on-site harvesting judgments, skidding operations, safety stops, and personnel safety responsibility remain with workers and crews. This page's AI discussion is an editorial synthesis, not evidence of widespread industry adoption.
Human responsibilities include confirming harvesting areas and safety conditions, bucking to specifications, stopping and reporting immediately when anomalies arise, and completing work records truthfully.
The National Bureau of Statistics publishes average annual wages for employed persons in urban units by industry category without listing this occupation separately, so a safely mapped nationwide occupational median cannot be established. This page shows only an industry proxy labeled as industry-level data: in 2025, agriculture, forestry, animal husbandry, and fishing paid 74,424 yuan per year in urban non-private units and 46,552 yuan per year in urban private units; the nationwide total for urban non-private units was 129,441 yuan per year. None equals this occupation's median or starting pay. Ministry of Human Resources and Social Security enterprise compensation survey information is provided as a lookup entry point.
BLS 2025 OEWS data, displayed through O*NET, show a median annual wage of 50,840 US dollars for this title, approximately 24.44 US dollars per hour, and a range from the 10th to the 90th percentile of 36,380—69,350 US dollars. These are nationwide statistics, not personal take-home income or starting pay. This title has very few workers, mostly in outdoor forests with hourly pay; actual income depends on location, company, and seasonal work.
In the United States, this title is an aggregate category for which O*NET provides no occupational-level education data. Based on BLS and publicly available general knowledge of industry work (editorial synthesis), such positions mostly receive on-the-job training from several days to one year. Training does not equal equipment operation authorization. Mainland China: there is no unified occupational qualification exactly corresponding to this O*NET occupation; requirements are generally determined by companies and forestry authorities.
Main risks (editorial synthesis) include felling and delimbing injuries, skidding and transfer safety, terrain and weather, tool and machinery use, and work and safety record errors. Controls include confirming safety conditions before work, following procedures and wearing protection, and stopping and reporting anomalies. Verify legal and operating authorization matters under the applicable jurisdiction.
O*NET cites BLS data showing about 3,100 employed under this title in 2024, a projected decline of about 5% over 2024—2034, about 3,000 employed in 2034, and about 400 average annual job openings. These projections are occupational statistics, not individual hiring probabilities or a sample of job advertisements.
If you can remain focused in outdoor forests, are willing to follow procedures, and record truthfully, it is worth using an entirely fictional work scenario for a low-cost safety and work exercise. You may also move toward separately listed logging equipment operation, scaling, or yard management roles, after adding corresponding equipment knowledge, authorization, and evidence of responsibility.
Evidence for China, the United States, and specific institutions is stated separately: pay, employment, qualifications, safety, and AI conclusions must not be combined across scopes. The Logging Workers, All Other page offers occupational judgment and safety exercise information and does not replace local laws, forestry and operating safety procedures, or other professional advice. Any statement of insufficient evidence means only that a bounded search did not establish safely corresponding data; proxies or memory are not used to fabricate figures.
FermatMind research workflow
2025 annual wages; published 2026-05-15; accessed 2026-09-25
Average Annual Wages of Employed Persons in Urban Units in 2025
Limitations:Aggregate title without occupational-level task data. Applies only to 45-4029.00 and the US market; establishes no Chinese mapping.
Limitations:The aggregate title has no occupational-level data; details from adjacent occupations cannot replace it.
Limitations:Displays BLS OEWS wage data; percentiles are not starting pay. Retain the stated period, population, geography, and units.
Limitations:Projections do not guarantee hiring and do not include individual hiring probabilities.
Limitations:Industry distribution signals employer settings, not growth or demand projections.
Limitations:Industry averages are not occupational medians and exclude individual businesses and freelancers. No nationwide wage distribution corresponding to the exact occupation has been established.
Limitations:Covers urban enterprises, excluding government agencies and public institutions. This page did not obtain an exact match for this occupation and does not treat the data as a nationwide median.
Limitations:The editorial scale is not evidence of adoption rates, layoffs, regulations, or licenses. This title has no O*NET occupational-level task data.
Limitations:Excludes construction and use of cable yarding systems; does not replace Chinese or complete operating procedures
Limitations:Editorial ratings use the existing occupational responsibilities and AI task analysis on this page. They are not adoption rates, measured effects, job-disappearance or personal-unemployment probabilities, or official scores from Stanford or another external institution. No measured time weights or future robot deployment are assumed.
45-4029.00 aggregates logging workers not separately listed; it is not 45-4022 equipment operators. 2025 wages 36380 / 41900 / 50840 / 61450 / 69350, hourly 24.44; 2025—2035 employment 2400 → 2200, -8%, openings 300; 2025 agriculture and forestry share 58%. There are no occupational task, education, or interest data; paths and risks are editorial examples. OSHA1910.266 covers only applicable US logging safety scope; NBS2025 agriculture and forestry figures are proxies. The frozen identity / CTA still incorrectly says equipment operator, and protected FAQ shared sources retain older figures and qualification statements, pending independent review. Exact Chinese wages and entry requirements, AI and personality evidence, and detailed-industry wages remain gaps.