transportation labor

Logistics Support Workweek 2026: A BLS Capacity Signal

How average weekly hours in transportation support activities can inform logistics workload planning without overstating freight demand.

Trucking VA Research Team · · 5 min read · 12 sources

Trucking operations visual for Logistics Support Workweek 2026: A BLS Capacity Signal

Key takeaways

  • BLS publishes average weekly hours for production and nonsupervisory employees in support activities for transportation.
  • Hours can change before headcount because employers often adjust schedules before hiring or layoffs.
  • NAICS 488 includes several support industries, so the series is broader than dispatch or brokerage work.
  • A shorter workweek does not reveal whether lower workload, automation, staffing mix, or calendar effects caused the change.

The BLS Current Employment Statistics program tracks average weekly hours for production and nonsupervisory employees in support activities for transportation. The national not-seasonally-adjusted series is CEU4348800007. It gives logistics planners a monthly labor-intensity measure that can move before employers change total headcount.

The series is broader than truck dispatch. NAICS 488 includes support work connected to multiple transportation modes, which makes the workweek a context signal rather than a direct count of fleet administrative hours.

Methodology

This review used BLS CES program material, series CEU4348800007 for average weekly hours, series CEU4348800001 for all employees, the CES Handbook of Methods, Census NAICS definitions, and the BTS Transportation Services Index. Pages and available observations were retrieved July 23, 2026.

Average weekly hours refer to paid hours for the covered production and nonsupervisory employee group. They are not the same as hours physically worked, billable hours, or a time study of dispatch tasks.

The CEU series are not seasonally adjusted. A fleet using them should favor year-over-year comparisons for recurring calendar effects or select the corresponding seasonally adjusted data. Adjustment status must be consistent across the dashboard.

We did not assign a universal threshold for a long or short workweek. The decision value comes from direction, persistence, and agreement with payroll and freight measures.

Findings

Hours can be an earlier labor response than employment. An employer facing softer workload may shorten schedules, reduce overtime, or leave shifts unfilled while retaining staff. When work returns, the employer may lengthen schedules before recruiting.

The covered industry group is diverse. Support activities for transportation include establishments supporting air, rail, water, road, and other transportation. A national move can therefore arise outside trucking.

Average hours also combine different employers and job mixes. If high-hour establishments gain employment share, the average can rise even when individual schedules do not change. The reverse composition effect is also possible.

Pairing hours with payroll provides more information than either measure alone. Hours down with stable employment suggests labor utilization may be easing. Hours and payroll up together suggests a broader expansion in labor input, though freight output still needs separate confirmation.

Hours Employment Initial reading Next check
Rising Rising Labor input is expanding Freight output and overtime
Rising Flat Existing staff may be carrying more workload Backlogs and vacancy data
Falling Flat Schedule adjustment may precede headcount change Shift coverage and shipment count
Falling Falling Labor input is contracting Mode-specific freight activity
Flat Rising Staffing may be spreading work across more employees Hours per transaction

No row proves a cause. Each row defines a follow-up question that can be tested against internal records.

BTS Freight TSI is one useful output comparator. If labor hours rise while transportation output remains weak, possible explanations include backlog, lower productivity, a change in mode mix, or activity not represented the same way in the two sources.

Operational interpretation

Use the public workweek as a monthly external benchmark for administrative capacity discussions. Then compare it with internal paid hours, overtime, open tasks, loads handled, exception count, and response time.

A fleet should calculate its own workload ratios from stable definitions. Examples include loads handled per coordinator hour, invoices processed per administrative hour, and unresolved exceptions at week end. These internal ratios are actionable because the manager controls their definitions.

Avoid direct productivity claims from a falling workweek. Fewer hours could reflect weaker activity, better software, more experienced staff, outsourced tasks, or a different calendar. The data do not identify which explanation applies.

Maintain an event note beside each month. Port disruptions, storms, labor disputes, customer launches, and system migrations can affect both work and reporting. A clean notes field often explains an apparent anomaly faster than another chart.

Teams can compare more labor indicators in the research section. For recurring schedule and report maintenance, the services overview describes support functions, while operational authority remains with fleet management.

Limitations

CES is an establishment survey and monthly estimates can be revised. Recent observations should be labeled preliminary where BLS does so.

The workweek applies to production and nonsupervisory employees, not every employee. Managerial schedules and contractor hours are outside the exact measure.

NAICS 488 is multimodal and broad. The result cannot be presented as a truck-only dispatcher workweek or a brokerage benchmark.

Average weekly hours also hide distribution. Two organizations can report the same average while one relies on heavy overtime and another uses evenly staffed shifts.

Why can hours lead employment?

Schedule changes are easier to reverse than hiring or layoffs. Employers may first adjust overtime, shifts, and paid hours while they assess whether demand has changed.

Is CEU4348800007 seasonally adjusted?

No. The CEU prefix identifies a not-seasonally-adjusted national CES series. Use year-over-year comparison or locate the matching seasonally adjusted series for adjacent-month analysis.

Does the series measure dispatchers?

Not specifically. It covers production and nonsupervisory employees across support activities for transportation under the published industry classification.

What internal measure pairs best with it?

Paid administrative hours per completed transaction is a strong starting point if transaction definitions stay stable. Backlog and exception age add service-quality context.

Sources

  1. Bureau of Labor Statistics, Current Employment Statistics, program material retrieved July 23, 2026.
  2. BLS Public Data, CEU4348800007, average weekly hours in support activities for transportation, observations retrieved July 23, 2026.
  3. BLS Public Data, CEU4348800001, all employees in support activities for transportation, observations retrieved July 23, 2026.
  4. Bureau of Labor Statistics, CES Handbook of Methods, retrieved July 23, 2026.
  5. Census Bureau, NAICS, 2022 sector and industry definitions retrieved July 23, 2026.
  6. Bureau of Transportation Statistics, Transportation Services Index, output comparison retrieved July 23, 2026.

Sources and citations

  1. Bureau of Labor Statistics, Current Employment Statistics, https://www.bls.gov/ces/, retrieved 2026-07-23.
  2. BLS Public Data, CEU4348800007 Average Weekly Hours of Production and Nonsupervisory Employees, Support Activities for Transportation, https://data.bls.gov/timeseries/CEU4348800007, retrieved 2026-07-23.
  3. BLS Public Data, CEU4348800001 All Employees, Support Activities for Transportation, https://data.bls.gov/timeseries/CEU4348800001, retrieved 2026-07-23.
  4. Bureau of Labor Statistics, CES Handbook of Methods, https://www.bls.gov/opub/hom/ces/, retrieved 2026-07-23.
  5. Census Bureau, 2022 NAICS definition for sector 48 to 49 and industry group 488, https://www.census.gov/naics/, retrieved 2026-07-23.
  6. Bureau of Transportation Statistics, Transportation Services Index, https://www.bts.gov/tsi, retrieved 2026-07-23.
  7. BLS Public Data, CEU4348800002 Support Activities for Transportation, Production and Nonsupervisory Employees, https://data.bls.gov/timeseries/CEU4348800002, retrieved 2026-07-23.
  8. BLS Public Data, CEU4348800003 Support Activities for Transportation, Average Hourly Earnings, https://data.bls.gov/timeseries/CEU4348800003, retrieved 2026-07-23.
  9. Bureau of Labor Statistics, CES seasonal adjustment documentation, https://www.bls.gov/ces/data/seasonal-adjustment.htm, retrieved 2026-07-23.
  10. Bureau of Labor Statistics, CES estimation methods, https://www.bls.gov/opub/hom/ces/design.htm, retrieved 2026-07-23.
  11. Census Bureau, Economic Census transportation and warehousing, https://www.census.gov/programs-surveys/economic-census.html, retrieved 2026-07-23.
  12. Bureau of Transportation Statistics, National Transportation Statistics, https://www.bts.gov/topics/national-transportation-statistics, retrieved 2026-07-23.