Employee fatigue has no single standard definition, so the available evidence spans sleep loss, self-reported fatigue, shift-work disorder, injuries, health outcomes and modeled costs. The figures below identify the population, geography, period and measurement type so these related measures are not treated as interchangeable.
Key Employee Fatigue Statistics
The most broadly useful employee fatigue figures include:
- 43% of U.S. workers reported insufficient sleep for critical work decisions in the survey period reported by NIOSH in its 2020 bulletin.
- More than 60% of U.S. night-shift workers reported less than the recommended 7–9 hours of sleep per day in the survey period reported by NIOSH in 2020.
- 57.9% of surveyed U.S. manufacturing employees reported some fatigue during the previous week in the 2017 publication’s survey.
- 23.1% of clinical nurses in 48 Chinese public hospitals reported high work-related accumulative fatigue in the study published in 2022.
- 24.6% of the same Chinese nurse sample reported very high work-related accumulative fatigue in the 2022 study.
- 10% of U.S. worksites reported a sleep-enhancement or fatigue-reduction program in the 2017 CDC Workplace Health in America poll.
- Nearly 30% of the U.S. workforce worked outside a regular daytime shift according to the estimate cited on the NIOSH page accessed in 2026.
- One in four U.S. workers reported working more than 40 hours per week according to the estimate cited by NIOSH.
- Accident and injury rates were 30% greater on night shifts than on day shifts in evidence summarized by OSHA.
- Working 12 hours per day was associated with a 37% increased injury risk in a 2005 study cited by OSHA.
- Healthcare-worker fatigue prevalence was pooled at 55% in a meta-analysis of studies conducted during COVID-19, SARS or MERS, with a 95% confidence interval of 46%–65%.
- 91,000 U.S. police-reported motor-vehicle crashes involved drowsy driving in 2017.
- At least $218 billion per year was the NIOSH estimate for U.S. employer costs from work-related fatigue through reduced productivity or health-related absence.
- 479 million people, or 9% of the global population, worked at least 55 hours per week in 2016.
- 745,000 global deaths were attributed to long working hours in 2016 through ischemic heart disease and stroke modeling.
- 23.26 million global disability-adjusted life years were attributed to long working hours in 2016.
- Leadership buy-in for workplace wellness was associated with 4.74 times the odds of a U.S. worksite offering a sleep or fatigue-reduction program in the 2017 poll.
Contents
- Prevalence, sleep loss and scale
- Shift work, hours and schedules
- Healthcare and high-risk occupations
- Injuries, errors and road safety
- Health, mortality and economic costs
- Workplace programs and risk reduction
Employee Fatigue Statistics: Prevalence, Sleep Loss and Scale
Sleep-related measures show why fatigue prevalence cannot be reduced to one universal percentage. NIOSH states that fatigue has no standard definition, while the surveys below use different questions and recall periods.
- In the United States, 43% of American workers said they did not get enough sleep for critical decisions at work in the survey period reported by NIOSH’s 2020 bulletin. This is self-reported and does not establish a causal effect. NIOSH, “Work-related Fatigue Reaches Beyond the Workplace”
- More than 60% of U.S. night-shift workers reported not getting the recommended 7–9 hours of sleep per day in the same NIOSH-reported survey period. Sleep duration is self-reported and is not identical to measured fatigue. NIOSH, “Work-related Fatigue Reaches Beyond the Workplace”
- 57.9% of surveyed U.S. manufacturing employees said they had been somewhat fatigued during the previous week in the 2017 publication’s prior-week recall measure. The study was cross-sectional, and “somewhat fatigued” was its reported category. PubMed, “A survey of the prevalence of fatigue, its precursors and individual coping mechanisms among U.S. manufacturing workers”
Program adoption was much less common than reported sleep concerns in the CDC worksite analysis. The analysis used a weighted sample representing 745,282 U.S. worksites, which is a survey-weighted representation rather than a census count.
- Only 10% of U.S. worksites reported a sleep-enhancement or fatigue-reduction program in the 2017 poll. This measures program presence, not employee participation or effectiveness. CDC-hosted study, “Employee Sleep Enhancement and Fatigue Reduction Programs”
Employee Fatigue Data by Shift, Hours Worked and Schedule
Work schedules provide exposure context, but schedule exposure is not the same as fatigue prevalence or a diagnosis.
| Schedule or exposure | Result | Population and period |
|---|---|---|
| Outside regular daytime shift | Nearly 30% | U.S. workforce; estimate cited by NIOSH page accessed 2026 |
| More than 40 hours per week | 1 in 4 workers | U.S. workers; estimate cited by NIOSH |
| Evening-shift accident/injury rate | 18% greater than day shift | Workers; evidence summarized by OSHA |
| Night-shift accident/injury rate | 30% greater than day shift | Workers; evidence summarized by OSHA |
| Twelve hours per day | 37% increased injury risk | U.S. workers; 2005 study cited by OSHA |
The NIOSH estimates describe how many workers encounter non-day or long-hour schedules, while OSHA’s figures describe observed relative injury differences. NIOSH, “Working Hours and Fatigue” OSHA, “Long Work Hours, Extended or Irregular Shifts, and Worker Fatigue”
Shift-work disorder estimates also depend on diagnostic criteria and schedule definitions. Among Finnish hospital personnel, ICSD-3 prevalence was 2.5%–3.7% among shift workers without night shifts and 2.6%–9.5% among shift workers with night shifts; permanent night workers had 6.0% prevalence.
Using older ICSD-2 criteria, prevalence among Finnish night-shift hospital workers ranged from 5.6% to 33.5%, so the two ranges should not be treated as directly comparable. The same study’s plausible cutoff of at least three ICSD-3 symptom days per month produced an estimated 3%–6% prevalence among hospital shift workers. PubMed, “Prevalence of shift work disorder among hospital personnel”
Employee Fatigue Statistics in Healthcare and High-Risk Occupations
Healthcare evidence includes both occupation-specific surveys and pooled estimates from studies conducted during COVID-19, SARS or MERS. The meta-analysis reported substantial heterogeneity, with I² about 99%, and most included studies were cross-sectional.
- The pooled fatigue prevalence among healthcare workers was 55%, with a 95% confidence interval of 46%–65%.
- Pooled prevalence was 57% among doctors, with a 95% confidence interval of 46%–68%.
- Pooled prevalence was 67% among nurses, with a 95% confidence interval of 52%–79%.
- Pooled prevalence was 43% among non-frontline healthcare workers and 58% among frontline healthcare workers, but the difference was not statistically significant.
- Mental fatigue prevalence was 58%, with a 95% confidence interval of 17%–90%, based on four studies with very wide uncertainty.
The meta-analysis also found 53% pooled fatigue prevalence related to personal protective equipment use, with a 95% confidence interval of 38%–67% across 11 studies. Oxford Academic, “Healthcare worker fatigue during COVID-19, SARS, and MERS”
The Chinese nurse study illustrates how local samples can produce more specific accumulative-fatigue measures. Among clinical nurses in 48 public hospitals across six Chinese provinces, 23.1% reported high and 24.6% reported very high work-related accumulative fatigue in the 2022 publication; the convenience sample and cross-sectional self-report limit generalization.
Its adjusted associations included an odds ratio of 0.614 for male versus female nurses, 1.346 for nurses aged 30–40 versus those older than 40, and 1.277 for nurses with 5–10 years of experience versus more than 10 years. Associate-degree nurses had an odds ratio of 0.806 versus bachelor-or-higher nurses, metropolitan-hospital nurses had 0.816 versus rural-county-hospital nurses, and central-China nurses had 1.276 versus western-China nurses. Frontiers in Public Health, “Self-reported work-related accumulative fatigue of nurses”
Employee Fatigue Statistics on Injuries, Errors and Road Safety
Road-safety figures show consequences associated with drowsiness beyond the immediate workplace, while occupational studies connect extended schedules with injury and commuting outcomes.
| Outcome | Figure | Period and population |
|---|---|---|
| Drowsy-driving crashes | 91,000 | U.S. police-reported crashes; 2017 |
| Injuries from those crashes | Approximately 50,000 | United States; 2017 |
| Fatalities from those crashes | Approximately 800 | United States; 2017 |
| Monthly commute-crash risk per additional extended shift | 16.2% increase | U.S. medical residents; 2005 study |
NIOSH notes that the 2017 drowsy-driving totals underestimate the impact because reporting and causal identification are incomplete. NIOSH, “Work-related Fatigue Reaches Beyond the Workplace”
In the cited medical-resident study, each additional extended shift scheduled in a month increased the monthly risk of a motor-vehicle crash on the commute home by 16.2%. This is a population-specific association and an outcome measure, not a prevalence estimate. OSHA, “Long Work Hours, Extended or Irregular Shifts, and Worker Fatigue”
Employee Fatigue, Health, Mortality and Economic Costs
Economic estimates use different scopes and vintages, so they should not be added together. NIOSH estimated that work-related fatigue costs U.S. employers at least $218 billion per year through reduced productivity or health-related absence, while OSHA cites a separate $136.4 billion annual estimate for fatigue-related health-related lost productive work time. NIOSH, “Working Hours and Fatigue” OSHA, “Long Work Hours, Extended or Irregular Shifts, and Worker Fatigue”
The WHO/ILO figures concern long working hours, not a direct count of fatigue cases. In 2016, 479 million people, or 9% of the global population, worked at least 55 hours per week, and the global share exposed increased 9% in relative terms from 2000 to 2016.
| Long-hours outcome | 2016 estimate | Scope |
|---|---|---|
| Attributable deaths | 745,000 | Global; ischemic heart disease and stroke |
| Stroke deaths | 398,000 | Global; modeled attribution |
| Ischemic-heart-disease deaths | 347,000 | Global; modeled attribution |
| Disability-adjusted life years | 23.26 million | Global; premature death and disability |
The 745,000-death estimate was 29% higher than in 2000; deaths attributed to long-hours ischemic heart disease increased 42%, while those attributed to stroke increased 19%. Working at least 55 hours per week was associated with a 17% higher ischemic-heart-disease risk and a 35% higher stroke risk than working 35–40 hours, and men accounted for 72% of modeled attributable deaths. WHO, “Global, regional and national burdens…”
Employee Fatigue Programs and Risk-Reduction Adoption
The 2017 CDC worksite analysis measured associations with offering a program, not randomized intervention effects. Relative to worksites without the relevant organizational condition, the adjusted odds were:
- 3.12 times higher when the worksite had a health-related mission.
- 4.74 times higher when leadership had buy-in for workplace wellness.
- 5.37 times higher when the worksite had a health-promotion plan.
- 4.08 times higher with a $50,000–$100,000 health-promotion budget versus no budget.
- 6.59 times higher with a $100,000–$500,000 budget versus no budget.
- 6.85 times higher with a budget above $500,000 versus no budget.
These figures describe program adoption among U.S. worksites in the 2017 poll; budgets and program presence were self-reported, and the associations do not prove that funding or leadership caused adoption. CDC-hosted study, “Employee Sleep Enhancement and Fatigue Reduction Programs”