Operating engineers and other construction equipment operators

SOC 47-2073 · 47-0000 · Score reference month August 2026

Operate one or several types of power construction equipment, such as motor graders, bulldozers, scrapers, compressors, pumps, derricks, shovels, tractors, or front-end loaders to excavate, move, and grade earth, erect structures, or pour concrete or other hard surface pavement. May repair and maintain equipment in addition to other duties.

In short

The national Job Market Health score is in the Balanced band for August 2026.

Job Market Health score

49/ 100
Balanced

Stable

Confidence
Medium
Restated score
49
Methodology
v1.0
Geography
US
  • At least 80% of required inputs are covered; one or more broader proxies may be used.

Job Market Health scores are derived indicators based on published data, informational only, not a forecast or guarantee.

$59,850Median annual wageOEWS May 2025
39,200Projected annual openingsBLS Employment Projections 2025-2035
+4.6%Projected growth2025–2035
478,090Total employmentOEWS May 2025

Latest interpretation

What stands out for operating engineers and other construction equipment operators

The clearest signals from the latest validated score, outlook and metro data.

Long-term outlook is the strongest component

Long-term outlook scores 58/100, compared with 43/100 for current demand, a 15-point difference.

JobMarketHealth score components

Published long-term outlook

BLS projects 39,200 average annual openings and +4.6% employment growth from 2025 to 2035. Projected openings are a modeled annual average, not vacancies open today.

BLS Employment Projections

Largest published metro market

Houston-Pasadena-The Woodlands, TX has the largest published metro employment count for operating engineers and other construction equipment operators, at 14,000 jobs. The next-largest published metro is Dallas-Fort Worth-Arlington, TX with 11,510 jobs. This measures employment scale, not market quality.

BLS OEWS

Local market context

QCEW industry conditions for this occupation’s employment mix

Choose a state to see how the industries that employ this occupation are performing locally.

Choose a state above to explore its available industry context.

How to read this section

QCEW measures employment and wages by industry, not by occupation. We weight those industry conditions using the published industry mix for this occupation. These figures describe the industries that employ this occupation; they are not direct counts of people working in the occupation or jobs currently open.

Source: BLS QCEW. This section is not part of the national 0 to 100 Job Market Health score. See the methodology.

Compare states for operating engineers and other construction equipment operatorsSide-by-side published industry conditions for two or three states. There is no state-level health score; the 0 to 100 score is national.

How to read this page

The score is a national composite from 0 to 100 that weights near term hiring demand at 50 percent, the occupation's own employment fundamentals at 30 percent, and long-term outlook at 20 percent. Wages and occupation profile details are context shown alongside it, not score inputs. See the full methodology.

Median annual wage and metro employment come from BLS OEWS, which is annual. Projected annual openings and projected growth come from BLS Employment Projections and describe the published projection horizon, so they are not a count of jobs open today. Values shown as not published are suppressed by the source rather than filled in here.

Job Market Health trend

Published composite score · 0–100 · by reference month

Latest published values
  • Aug 2649 / 100
View values: Job Market Health history
Job Market Health history
Reference monthScore / 100
Jan 2543
Feb 2543
Mar 2545
Apr 2545
May 2544
Jun 2543
Jul 2544
Aug 2543
Sep 2543
Oct 2541
Nov 2543
Dec 2545
Jan 2649
Feb 2646
Mar 2646
Apr 2646
May 2648
Jun 2649
Jul 2649
Aug 2649

Score components

The three published inputs behind the composite · each 0–100

Current demand43 / 100
Occupation fundamentals54 / 100
Long-term outlook58 / 100

Largest metro markets by employment

OEWS employment count, where the jobs are, not a quality ranking

OEWS May 2025. These occupation counts describe the survey reference period.

Linked metro names open overall job-market profiles.

Compare cities for this career →

Employment · number of jobs

  • Houston-Pasadena-The Woodlands, TX14,000
  • Dallas-Fort Worth-Arlington, TX11,510
  • New York-Newark-Jersey City, NY-NJ11,430
  • Los Angeles-Long Beach-Anaheim, CA8,780
  • Atlanta-Sandy Springs-Roswell, GA8,360
  • Phoenix-Mesa-Chandler, AZ7,980
  • Chicago-Naperville-Elgin, IL-IN7,930
  • Washington-Arlington-Alexandria, DC-VA-MD-WV6,450
  • Boston-Cambridge-Newton, MA-NH6,370
  • Miami-Fort Lauderdale-West Palm Beach, FL5,850
Largest metro markets by employment
Metro areaEmploymentJobs per 1,000Median annual wage
Houston-Pasadena-The Woodlands, TX14,0004.26$51,040
Dallas-Fort Worth-Arlington, TX11,5102.84$51,370
New York-Newark-Jersey City, NY-NJ11,4301.21$95,050
Los Angeles-Long Beach-Anaheim, CA8,7801.40$92,890
Atlanta-Sandy Springs-Roswell, GA8,3602.89$49,430
Phoenix-Mesa-Chandler, AZ7,9803.36$62,540
Chicago-Naperville-Elgin, IL-IN7,9301.76$103,100
Washington-Arlington-Alexandria, DC-VA-MD-WV6,4502.06$61,660
Boston-Cambridge-Newton, MA-NH6,3702.35$76,940
Miami-Fort Lauderdale-West Palm Beach, FL5,8502.08$51,800

Education & training

Typical entry requirements · BLS Employment Projections 2025-2035

Typical education
High school diploma or equivalent
Work experience
None
On-the-job training
Moderate-term on-the-job training
Projected employment
511,800 jobs

Top skills

Occupation profile · O*NET 31.0 Database

  • Operation and Control
  • Equipment Maintenance
  • Operations Monitoring
  • Monitoring
  • Active Listening
  • Time Management
  • Troubleshooting
  • Active Learning
  • Complex Problem Solving
  • Coordination

Also known as: Back Hoe Operator, Engineering Equipment Operator, Equipment Operator (EO), Forklift Operator, Heavy Equipment Operator (HEO), Hot Mix Asphalt Operator

AI & this occupation

How AI relates to Operating engineers and other construction equipment operators work

Across 4 research exposure measures, Operating engineers and other construction equipment operators is in the lower technical AI exposure band based on the mean of the available source-specific percentile ranks. Exposure describes how much of the work the studied AI capabilities could technically assist with; it is not a forecast of job loss.

The saved Anthropic task-exposure benchmark records a zero index for this occupation. This is not proof of no AI use; the observation window is not recorded in this saved release.

JobMarketHealth has not measured an AI effect on this occupation's employment or wages, and these figures do not enter its scores; there is no clear evidence of displacement in the data shown here.

Technical AI exposureLower exposureMean of 4 available source-specific percentile ranks (4 measures checked); fixed exposure bands, not a national rank of the composite
Dated Claude task exposureLower thirdObserved task-exposure benchmark 0.000; observation window not recorded
Business AI use (BTOS Core)24.6%U.S. businesses using AI, two weeks ending 2026-10-04; all industries, not this occupation
Historical task mix (2025)Not enough tasksFewer than 3 observed tasks
Measured labor-market effectNot estimatedJobMarketHealth does not attribute employment or wage changes to AI

Exposure measures (kept separate)

  • GPTs are GPTs exposure (β, GPT-4 rated): 0.05 of 1, national percentile 13 (lower third)
  • Microsoft AI applicability: 0.10 of 1, national percentile 33 (lower third)
  • AIOE (Felten, Raj & Seamans): -0.88 (standardized), national percentile 24 (lower third)
  • OECD AI Capability Gap (lower gap = higher potential exposure): gap 4.1 of 23, national percentile 38 (middle third)
OECD capability gap by domain

As published by the OECD: the gap between what the occupation demands (0-5) and current AI capability in each domain. A lower gap means AI is closer to the requirement (higher potential exposure); 0 means AI already meets it or the domain is not relevant.

  • Language: gap 0.00 (demand 2.50 of 5)
  • Social interaction: gap 0.65 (demand 2.65 of 5)
  • Problem solving: gap 0.30 (demand 2.30 of 5)
  • Creativity: gap 0.00 (demand 1.00 of 5)
  • Metacognition & critical thinking: gap 0.40 (demand 2.40 of 5)
  • Knowledge, learning & memory: gap 0.35 (demand 3.35 of 5)
  • Vision: gap 1.20 (demand 4.20 of 5)
  • Manipulation: gap 1.65 (demand 3.65 of 5)
  • Robotic intelligence: gap 1.95 (demand 3.95 of 5)

National context: what businesses used generative AI for

From the Census 2025-26 BTOS AI Supplement (all industries; businesses whose employees used generative AI). Census did not measure Operating engineers and other construction equipment operators specifically.

  • Writing or editing documents, emails, or communications: 85.4%
  • Searching for information or technical help: 49.9%
  • Interpreting, analyzing, translating, or summarizing documents: 44.6%
  • Information processing, paperwork, or filing: 34.7%

Exposure and observed usage are separate measures and neither equals job loss. Census BTOS figures are business-level surveys and are not occupation-specific. Sources: GPTs are GPTs occupation exposure; Microsoft Working with AI: AI applicability; AI Occupational Exposure (AIOE); OECD AI Exposure Measure (AI Capability Gap); Anthropic Economic Index; Census BTOS Core AI Use; Census BTOS AI Supplement 2025-26. These figures do not affect Job Market Health scores. Explore AI & Jobs · How we use AI data.

Sources and methodology

The datasets behind the figures on this page

Job Market Health score
Score for reference month August 2026 · methodology v1.0 · MethodologyScore last recalculated Oct 2, 2026 · First published Sep 29, 2026
BLS Occupational Employment and Wage Statistics
Employment, wages and largest metros · OEWS May 2025 · publisher release May 15, 2026 · About this sourceRetrieved Sep 17, 2026
BLS Employment Projections
Projected growth, openings, education and training · BLS Employment Projections 2025-2035 · publisher release Aug 27, 2026 · About this sourceRetrieved Sep 17, 2026
O*NET
Skills, alternate titles and related occupations · O*NET 31.0 Database · publisher release date not verified · About this sourceRetrieved Oct 19, 2026

Values marked “Not published” are suppressed or not published by the source. We leave them blank rather than estimating them. Pipeline status for every source is on Data Status.

Evidence record

JobMarketHealth derived indicator; not a government statistic. The composite score is national and occupation level.

Occupation
Operating engineers and other construction equipment operators
SOC code
47-2073
Geography
United States
Reference month
August 2026
Published Job Market Health score
49 / 100
Restated score
49 / 100
Band
Balanced
Current Demand component
43 / 10050% weight
Occupation Fundamentals component
54 / 10030% weight
Long-Term Outlook component
58 / 10020% weight
Confidence
MediumAt least 80% of required inputs are covered; one or more broader proxies may be used.
Methodology version
v1.0
Source vintage: Annual
EP-2025-2035|CPS-25b-2025|OEWS-2020-2025
Source vintage: Monthly calculated at
2026-10-02T15:32:39.142Z
First published at
Sep 29, 2026
Recalculated at
Oct 2, 2026
Canonical record URL
https://jobmarkethealth.com/occupations/operating-engineers-and-other-construction-equipment-operators#evidence-record
Derived by
JobMarketHealth

Keep going

Learn how to judge a market from these numbers in how to tell if a job market is healthy, or why projected growth and annual openings often disagree in projected growth vs projected annual openings. Coverage, revisions and limits are explained on about the data.

The datasets behind these figures, and what each one can and cannot show, are set out on data sources.