Key takeaways
- No federal monthly data series isolates turnover among truck drivers at for-hire motor carriers.
- BLS JOLTS publishes transportation, warehousing, and utilities estimates at a much broader industry level.
- Census QWI can measure quarterly worker flows by industry, geography, age, and sex, but its release lag limits real-time use.
- A useful carrier retention rate needs a written denominator, cohort date, and treatment of transfers and leave.
There is no federal monthly series that isolates truck driver turnover at for-hire motor carriers. Public data can show worker flows, broad quits, and trucking employment, but a carrier must calculate driver retention from its own roster. The strongest 2026 view combines three public systems and a clearly defined internal cohort.
Methodology
We reviewed Census Quarterly Workforce Indicators, Bureau of Labor Statistics Job Openings and Labor Turnover Survey, and BLS Quarterly Census of Employment and Wages. Each system covers a different unit. QWI follows jobs and worker flows, JOLTS estimates labor-market events at broad industry levels, and QCEW counts covered employment by detailed industry.
The framework does not import a trade association turnover percentage. Those measures can be useful, but definitions and member coverage vary. This article focuses on reproducible federal datasets and explains where carrier records remain essential.
A retention measure is only comparable when the formula is fixed. One defensible cohort measure is the share of drivers active on a starting date who remain active after a stated interval. New hires during the interval stay outside that starting cohort.
A separate new-hire survival measure follows drivers from hire date. It asks what share remain after 30, 90, 180, or 365 days. Mixing these two measures creates a rate that cannot be interpreted.
Findings
QWI is the most detailed public worker-flow source
Census produces QWI from the Longitudinal Employer-Household Dynamics program. The data include employment, hires, separations, turnover, earnings, and job creation or destruction measures. Users can filter by geography, industry, worker age, and sex where disclosure rules permit.
QWI is quarterly and released with a lag. It is better for structural comparisons than for a live weekly recruiting decision. Industry detail also depends on the selected geography and data availability.
The published QWI turnover variable has its own construction. Analysts should use the QWI 101 documentation rather than substituting a carrier formula under the same label. A public benchmark and an internal operating metric can share a name while measuring different things.
JOLTS is broader than trucking
JOLTS reports job openings, hires, quits, layoffs and discharges, and total separations. Its published transportation series generally combines transportation, warehousing, and utilities rather than isolating drivers or NAICS 484.
That breadth matters. A change in warehouse, transit, pipeline, or utility labor movement can affect the aggregate. JOLTS can show whether labor movement is tightening or loosening across the broad sector, but it cannot prove a truck driver retention change.
JOLTS rates also use employment denominators defined by BLS. A quits rate is not the inverse of a carrier retention rate. Quits count events during a period, while cohort retention asks whether the same people remain at a later point.
QCEW anchors the size of trucking employment
QCEW provides detailed employment and wages for establishments covered by unemployment insurance. NAICS 484 identifies truck transportation, including general freight and specialized freight trucking.
QCEW does not identify every employee as a driver. Dispatch, maintenance, safety, and office roles are included. Private fleets classified under a retailer or manufacturer may sit outside NAICS 484.
Its value here is denominator context. If internal driver exits rise while QCEW trucking employment falls, the carrier may be moving with a broad contraction. If public employment is stable, local operating conditions may deserve more attention.
| Signal | Frequency | Coverage | What it cannot prove |
|---|---|---|---|
| Census QWI turnover | Quarterly | Worker flows by industry and geography | Current-week driver exits |
| BLS JOLTS quits | Monthly | Broad transportation, warehousing, and utilities | Truck driver turnover alone |
| BLS QCEW employment | Quarterly | Covered NAICS 484 establishments | Driver-only headcount |
| Carrier cohort retention | Daily or monthly | The carrier's defined driver population | National labor conditions |
Internal definitions drive the result
A driver may transfer terminals, move from company driver to lease status, take approved leave, or return after a short break. Each event needs a written treatment. Otherwise, two analysts can produce different turnover rates from the same roster.
The denominator also matters. Average headcount supports an event rate, while starting cohort headcount supports survival. Both can be valid, but they answer different questions.
Voluntary and involuntary exits should remain separate. Safety disqualification, retirement, job abandonment, and a planned fleet reduction do not point to the same retention problem.
Operational interpretation
Build a monthly retention file with a stable driver identifier, hire date, status date, terminal, fleet, equipment type, exit date, and coded exit reason. Keep personally identifying details out of broad reporting extracts. Audit unknown exit reasons instead of forcing them into a convenient category.
Use cohort tables. Compare new-hire survival by hiring month, terminal, recruiter source, and dispatch group only when each group is large enough to protect privacy and avoid random swings. Small fleets should show counts beside percentages.
Pair retention with service conditions that a carrier controls. Home-time adherence, miles offered, dispatch response time, payroll corrections, equipment downtime, and unresolved document requests can reveal where administrative friction appears before an exit.
Public signals belong in the context column. QWI can frame regional worker flows, JOLTS can frame broad labor movement, and QCEW can frame industry employment. The workforce research collection can support this external layer, while internal process ownership can be mapped through trucking support roles.
A simple monthly review should ask four questions: Which cohorts weakened? Which exit reasons increased? Did operating conditions change first? Does public data suggest a broad market move or a local issue?
Limitations
QWI is based on administrative records and modeled linkages, and publication lags limit immediacy. Suppression and noise can affect small geographies or detailed cuts. State coverage and revision timing should be checked at retrieval.
JOLTS sampling error grows when users seek narrow interpretations from broad categories. Its transportation aggregate is not a substitute for a driver survey. QCEW also excludes some workers and does not separate occupations.
Carrier records can contain status errors, duplicate rehires, delayed termination dates, and inconsistent exit codes. A calculated percentage can look precise while the underlying events remain poorly classified.
No benchmark answers whether a specific retention level is acceptable. Freight mix, route design, driver model, seasonality, and planned fleet resizing all affect the result.
Related questions
What is the truck driver turnover rate in 2026?
There is no single official federal monthly rate for truck drivers. A current answer must name its source, carrier population, formula, period, and whether owner-operators are included.
Can the JOLTS quits rate be used as driver turnover?
No. JOLTS covers a broader industry group and measures quit events. It can provide context, not a driver-specific carrier rate.
What is the cleanest carrier retention formula?
For a fixed cohort, divide the number of starting drivers still active at the end by the number active at the start. State how leave, transfers, rehires, and status changes are handled.
Why track counts with percentages?
A small change in exits can move a small fleet's percentage sharply. Counts show the operational scale and reduce the chance of treating random variation as a trend.
Sources
- U.S. Census Bureau, Quarterly Workforce Indicators data, quarterly observations and worker-flow measures, retrieved July 23, 2026: https://lehd.ces.census.gov/data/
- U.S. Census Bureau, QWI 101 technical document, measure definitions, retrieved July 23, 2026: https://lehd.ces.census.gov/doc/QWI_101.pdf
- U.S. Bureau of Labor Statistics, JOLTS data and concepts, monthly observations, retrieved July 23, 2026: https://www.bls.gov/jlt/
- U.S. Bureau of Labor Statistics, JOLTS frequently asked questions, industry and rate definitions, retrieved July 23, 2026: https://www.bls.gov/jlt/jltfaq.htm
- U.S. Bureau of Labor Statistics, QCEW NAICS 484, quarterly observations, retrieved July 23, 2026: https://www.bls.gov/cew/
- U.S. Census Bureau, 2022 NAICS 484 definition, retrieved July 23, 2026: https://www.census.gov/naics/
Sources and citations
- U.S. Census Bureau, Quarterly Workforce Indicators, turnover and employment measures, https://lehd.ces.census.gov/data/, retrieved 2026-07-23
- U.S. Census Bureau, QWI 101 technical documentation, https://lehd.ces.census.gov/doc/QWI_101.pdf, retrieved 2026-07-23
- U.S. Bureau of Labor Statistics, Job Openings and Labor Turnover Survey, transportation, warehousing, and utilities, https://www.bls.gov/jlt/, retrieved 2026-07-23
- U.S. Bureau of Labor Statistics, JOLTS frequently asked questions and concepts, https://www.bls.gov/jlt/jltfaq.htm, retrieved 2026-07-23
- U.S. Bureau of Labor Statistics, Quarterly Census of Employment and Wages, NAICS 484, https://www.bls.gov/cew/, retrieved 2026-07-23
- U.S. Census Bureau, 2022 NAICS definition for Truck Transportation 484, https://www.census.gov/naics/, retrieved 2026-07-23
- U.S. Census Bureau, Quarterly Workforce Indicators data access, https://lehd.ces.census.gov/data/, retrieved 2026-08-03
- U.S. Bureau of Labor Statistics, Job Openings and Labor Turnover Survey concepts, https://www.bls.gov/jlt/jltlabstat.htm, retrieved 2026-08-03
- U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, heavy and tractor-trailer truck drivers, https://www.bls.gov/oes/, retrieved 2026-08-03
- U.S. Bureau of Labor Statistics, Business Employment Dynamics, https://www.bls.gov/bdm/, retrieved 2026-08-03
