Key Takeaways
- 18% of US adults report boredom most of the time or always/constantly in APA’s analysis (2018-2020)
- 31% of US employees report actively disengaged work behavior (2018)
- 30% of knowledge workers report low stimulation at work, which is conceptually linked to boredom in self-determination frameworks (2016)
- 33% of employees say their job doesn’t provide enough challenge, an antecedent widely related to boredom (2019)
- In a longitudinal study, boredom predicted increased risk-taking with standardized coefficient β = 0.21 (2016)
- Boredom proneness correlated with alcohol use with r = 0.19 in a meta-analysis (2018)
- In an experiment, boredom reduced cognitive control performance with a mean difference of 0.35 SD units (2014)
- The Multidimensional State Boredom Scale (MSBS) uses 2 dimensions and 8 items (commonly applied in boredom research)
- In confirmatory factor analysis of the Boredom Proneness Scale, fit indices reported CFI = 0.93 and RMSEA = 0.06 (2004)
- In a study comparing boredom dimensions, calm boredom explained 21% of variance in behavioral disengagement (2018)
- The global market size for boredom-relief digital entertainment (mobile gaming) was about $93.2B in 2023 and $104.0B in 2024 (Newzoo)
- In-app advertising spending on mobile apps reached $55B globally in 2024 (data.ai, adjusted figure)
- The global demand for podcasts reached $4.3B in 2023 revenue (Podcasting Insights)
Boredom is widespread, linked to poorer well being and cognition, and is fueling a fast growing digital entertainment market.
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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.
Karl Becker. (2026, February 13). Boredom Statistics. Gitnux. https://gitnux.org/boredom-statistics
Karl Becker. "Boredom Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/boredom-statistics.
Karl Becker. 2026. "Boredom Statistics." Gitnux. https://gitnux.org/boredom-statistics.
Sources & references
29 datasets cited across this report · attribution is report-level
+16 additional datasets cited (not shown individually)

