Stockers Rank First for Opportunity Relative to Measured Formal Preparation

CHARTS AND GRAPHICS

The evidence in view

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Stockers and order fillers ranked first among 747 complete-case occupations in MyTopMatch's Opportunity-to-Barrier Index. The occupation combined an Opportunity score of 79.27 with a measured Barrier score of 37.50, producing Opportunity Efficiency of 70.89, reported as 70.9.

The score reflects market scale, projected openings and growth, geographic breadth, compensation, and formal preparation. Stockers' pay component was 11.0 out of 100. The result therefore does not label the occupation the best career overall; it identifies a strong combination of scale and access under the defined measure.

The federal data behind the score

BLS reports 2.804 million stocker and order-filler jobs in 2025 and projects 3.055 million in 2035, an increase of 250,700 jobs or 8.9%. The agency projects an average of 430,700 openings per year over the decade. Openings include both occupational growth and replacement needs.

BLS classifies the occupation as typically requiring no formal educational credential, no related work experience, and short-term on-the-job training. O*NET assigns Job Zone 1–2, indicating very little to some preparation. These are national occupation-level classifications; individual employers can set different requirements.

Pay is the central counterweight

The 2025 median annual wage for stockers and order fillers was $37,330, compared with $50,980 across all occupations. The $13,650 difference helps explain the occupation's pay component of 11.0. The comparison is descriptive and does not adjust for hours, geography, industry, shift differentials, benefits, union coverage, or worker characteristics.

Opportunity and barrier remain visible

The Opportunity pillar gives equal weight to median pay, openings rate, log annual openings, projected growth, log employment scale, and geographic breadth. The Barrier pillar gives equal weight to BLS typical entry education, related work experience, on-the-job training, and O*NET Job Zone.

Highly skewed count variables are log transformed. Each component is oriented so a higher value means more of the named construct, converted to a robust z-score, and mapped through the standard normal cumulative distribution to a 0–100 score. Opportunity Efficiency equals 50 plus one-half of the difference between Opportunity and Barrier.

The leader was stable; exact ranks were less stable

Stockers and order fillers ranked between first and fourth when each component was omitted in turn. The broader table moved more under reasonable alternatives: the weakest top-decile retention was 64%, and the median span between an occupation's 5th- and 95th-percentile simulated ranks was 69 positions.

MyTopMatch therefore emphasizes high-scoring tiers, component values, and sensitivity measures. A tenth of an index point should not be read as a meaningful difference in a worker's lived opportunity.

The top ten form a close group

The first ten occupations are separated by roughly four Opportunity Efficiency points. Fast food and counter workers ranked second at 69.04, followed by landscaping and groundskeeping workers at 68.51. Small changes in reasonable modeling choices can alter the order, so the table is best read as a high-scoring tier.

What the work involves

BLS and O*NET describe stockers and order fillers as receiving, unpacking, tracking, moving, and inspecting merchandise; stocking shelves; filling orders; and maintaining records. Reported technology skills include inventory and warehouse-management systems, handheld devices, and spreadsheets. The work can also involve lifting, carrying, repetitive tasks, bending, kneeling, crouching, and variable schedules.

Licensing and job quality are outside the primary score

The primary Barrier score measures typical formal preparation. It does not contain a nationally complete occupation-by-state legal-requirement matrix. Missing licensing records are never treated as evidence that no license exists. The public result also omits benefits, schedule predictability, injury risk, turnover, worker voice, commuting constraints, and advancement quality.

How to use the result

A job seeker can use a high score to begin a local investigation: review current openings, hourly pay, scheduled hours, benefits, physical demands, training, equipment and software expectations, transportation, and advancement paths. Employers and workforce organizations can examine which screens predict retention, safety, performance, and progression.

• Compare posted hourly pay, scheduled hours, shift premiums, benefits, and overtime expectations.
• Verify lifting, standing, equipment, temperature, safety, background, age, and driving requirements.
• Document experience with inventory, fulfillment, scanners, warehouse systems, customer service, and material-handling equipment.
• Investigate advancement paths into inventory control, shipping and receiving, logistics, supervision, and specialized equipment roles.

What this research cannot establish

• A personal hiring probability or fit judgment.
• Universal employer requirements or complete legal access.
• Job quality or advancement quality.
• A causal effect of low formal preparation on opportunity.
• A permanent ranking under future releases or every reasonable specification.