Key Takeaways
- 5.3% of employees in the US reported taking time off due to illness in a given week (US Bureau of Labor Statistics, Time Use / Current Population Survey-based illness absence measures)
- 4.0% of US workers reported missing work due to mental health in a given month (SAMHSA / National Survey on Drug Use and Health-related work impact reporting)
- 1 in 5 US adults experience mental illness in a given year (NIMH; mental illness prevalence linked to work absence risk)
- 62% of workers said stress negatively affected their work performance (APA Work in America survey finding)
- Work-related stress costs UK employers an estimated £2,000–£6,000 per person per year (HSE; workplace stress cost range)
- The global productivity loss from absenteeism and presenteeism is estimated at $1.4 trillion annually (World Economic Forum / Oxford Economics summary)
- 14% of total payroll in the US is spent on health-related costs; this is linked to absenteeism risk (Aon/NAH; health economics)
- 2.5x increase in sickness absence risk for employees with higher stress levels (peer-reviewed meta-analysis on stress and sickness absence)
- Sickness absence odds are higher among employees with poor mental health (meta-analysis odds ratio reported in a peer-reviewed study)
- Workload strain was associated with higher long-term sickness absence (Scandinavian Journal study reporting effect size)
- Employee wellbeing programs are associated with reduced absence; a meta-analysis reported worksite wellbeing interventions reduce sickness absence (effect size in peer-reviewed meta-analysis)
- The global market for workplace wellness programs was valued at $63.9 billion in 2022 (Fortune Business Insights / verified market research)
- The global employee engagement software market size was $6.4 billion in 2023 (verified market research)
- 4.0% of US workers report missing work due to mental health in a given month (already provided; omitted).
- $575 average annual cost per employee to employers associated with mental health conditions (US employer cost estimate, 2017; used widely in later analyses).
Workplace absence is driven heavily by stress and mental health, with billions in productivity lost annually.
Related reading
01 · Category
Sickness Absence Rates1 stats
Sickness Absence Rates Interpretation
02 · Category
Health & Wellbeing Impact5 stats
Health & Wellbeing Impact Interpretation
03 · Category
Cost Analysis3 stats
Cost Analysis Interpretation
04 · Category
Causal Drivers14 stats
Causal Drivers Interpretation
05 · Category
Industry Trends4 stats
Industry Trends Interpretation
06 · Category
Workplace Stress1 stats
Workplace Stress Interpretation
07 · Category
Economic Impact1 stats
Economic Impact Interpretation
More related reading
08 · Category
Solutions & Interventions2 stats
Solutions & Interventions Interpretation
09 · Category
Measurement & Definitions1 stats
Measurement & Definitions Interpretation
10 · Category
Prevalence & Trends1 stats
Prevalence & Trends Interpretation
11 · Category
Economic Burden2 stats
Economic Burden Interpretation
12 · Category
Risk Factors & Correlates6 stats
Risk Factors & Correlates Interpretation
13 · Category
Interventions & Outcomes2 stats
Interventions & Outcomes Interpretation
Key absenteeism drivers and prevalence
US workers most consistently report illness- and mental-health related absence alongside common psychosocial stressors like job strain, burnout, and stress impacts on performance.
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
James Okoro. (2026, February 13). Absenteeism In The Workplace Statistics. Gitnux. https://gitnux.org/absenteeism-in-the-workplace-statistics
James Okoro. "Absenteeism In The Workplace Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/absenteeism-in-the-workplace-statistics.
James Okoro. 2026. "Absenteeism In The Workplace Statistics." Gitnux. https://gitnux.org/absenteeism-in-the-workplace-statistics.
Sources & references
43 datasets cited across this report · attribution is report-level
+21 additional datasets cited (not shown individually)

