Key Takeaways
- In a 2022 UK trial involving 61 companies and nearly 3,000 employees, 92% of companies decided to continue with the four-day week after the pilot
- In Iceland, 62% of public sector workers got a four-day week permanently
- 96% of global trial companies continued the four-day week post-trial
- Revenue in UK trial companies was stable or increased in 92% of cases, with 71% seeing an increase
- In Microsoft Japan, electricity consumption dropped 23% and printing pages reduced by 59%
- Revenue increased in 54% of global trial companies, stable in 31%
- Staff turnover fell by 57% in the UK four-day week trial
- Stress levels at Perpetual Guardian dropped by 24%, anxiety by 13%, and tiredness by 71%
- Icelandic trial saw 39% fewer sick days taken by employees
- The same UK trial showed productivity remained the same or improved in 95% of companies
- Microsoft's 2019 Japan trial saw productivity rise by 40% measured by sales per employee
- Perpetual Guardian in New Zealand saw productivity increase by 20% during their 2018 trial
- UK trial reported employee burnout decreased from 38% to 7% among participants
- 92.9% of Microsoft Japan employees reported improved work-life balance
- Employee engagement at Perpetual Guardian rose from 68% to 94%
Across global trials, 92% of companies kept the four day week, with productivity and wellbeing holding steady or improving.
Adoption/Implementation
Adoption/Implementation Interpretation
Economic Impact
Economic Impact Interpretation
Health
Health Interpretation
Productivity
Productivity Interpretation
Well-being
Well-being Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
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.
Kevin O'Brien. (2026, February 13). 4 Day Work Week Statistics. Gitnux. https://gitnux.org/4-day-work-week-statistics
Kevin O'Brien. "4 Day Work Week Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/4-day-work-week-statistics.
Kevin O'Brien. 2026. "4 Day Work Week Statistics." Gitnux. https://gitnux.org/4-day-work-week-statistics.
Sources & References
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4dayweek.com
- Reference 2MICROSOFTmicrosoft.com
microsoft.com
- Reference 3PERPETUALGUARDIANperpetualguardian.com
perpetualguardian.com
- Reference 4AUTONOMYautonomy.work
autonomy.work
- Reference 5BUFFERbuffer.com
buffer.com
- Reference 6SIEPRsiepr.stanford.edu
siepr.stanford.edu
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timewise.co.uk
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japantimes.co.jp
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davidsonmorris.com
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4dayweek.us
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- Reference 274DAYWEEK4dayweek.com.br
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- Reference 30THEGUARDIANtheguardian.com
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- Reference 31GOVgov.scot
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- Reference 32GOVgov.wales
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