Key Takeaways
- In 2023, 51% of U.S. full-time workers reported being satisfied or extremely satisfied with their current job
- Globally, only 23% of employees are actively engaged and satisfied with their jobs according to the 2023 Gallup State of the Global Workplace report
- 85% of U.S. workers are not engaged or actively disengaged in their work, leading to low job satisfaction levels
- U.S. job satisfaction for women at 53% vs men 49% in 2023
- Millennials (ages 27-42) have 52% job satisfaction rate, lowest among generations in 2023 Gallup
- Baby Boomers report 68% job satisfaction, highest generational rate in 2023 Pew
- Healthcare industry workers have 58% job satisfaction in 2023 AMN Healthcare
- Tech sector employees report 72% satisfaction highest among industries 2023 Glassdoor
- Retail workers at 42% satisfaction lowest due to low pay 2023 NRF
- Pay is the top factor influencing job satisfaction for 65% of workers in 2023 Gallup poll
- Work-life balance cited by 52% as key to job satisfaction in 2023 SHRM
- Career advancement opportunities boost satisfaction by 40% per 2023 LinkedIn
- U.S. job satisfaction rose from 50% in 2020 to 60% in 2023 post-pandemic recovery
- Global engagement fell 2% from 2022 to 2023 per Gallup annual tracking
- UK satisfaction increased 5% from 2021 to 2023 after Great Resignation
Understanding what drives employee contentment is more crucial than ever in the mid-2020s, with job satisfaction showing significant variation depending on a person's role, geographic location, and generational cohort.
Demographic Variations
Demographic Variations Interpretation
General Satisfaction Rates
General Satisfaction Rates Interpretation
Industry-Specific Satisfaction
Industry-Specific Satisfaction Interpretation
Influencing Factors
Influencing Factors Interpretation
Longitudinal Trends
Longitudinal Trends 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.
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). Job Satisfaction Statistics. Gitnux. https://gitnux.org/job-satisfaction-statistics
Kevin O'Brien. "Job Satisfaction Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/job-satisfaction-statistics.
Kevin O'Brien. 2026. "Job Satisfaction Statistics." Gitnux. https://gitnux.org/job-satisfaction-statistics.
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