Key Takeaways
- 30% of workers (ages 45–74) reported experiencing age discrimination at work at least once in the past 5 years
- 34% of workers said they would be less likely to hire an older candidate if they believed the candidate would not “keep up”
- A RAND survey found discrimination is associated with higher turnover intentions; 27% of those reporting discrimination were more likely to leave (percentage reported)
- The global age-friendly workplace technology market is projected to reach $XX by 2030 (projection)
- Gallup reported that having an inclusive workplace is associated with higher engagement; 39% higher engagement among employees in highly inclusive cultures (reported)
- Workers who experience discrimination are 2.4x more likely to consider leaving their job (age discrimination context reported in study)
- Employees who experience age discrimination report a 16% lower probability of being satisfied with their jobs
- Age discrimination is associated with a 1.3x increase in likelihood of mental health problems at work
- In 2023, 20 states and localities had laws prohibiting age discrimination beyond the ADEA in employment (per NCSL review)
- In a federal study, 28% of employers reported they had taken no training to prevent discrimination under ADEA/Title VII (compliance gap)
- In 2024, 25.2% of the U.S. workforce was 55 years or older (labor force age distribution)
- OECD reported that the average effective age of retirement in member countries increased to 65.5 years in 2022
- World Bank reported that the global labor force participation rate for ages 55+ was 58% in 2022
- 65% of employees reported that training on unconscious bias increases their awareness (training effectiveness metric in study)
- IBM’s 2022 global HR analytics program reported a 15% improvement in internal mobility rates after implementing skills-based talent practices (metric)
About a quarter of workers face age discrimination, which lowers satisfaction and boosts turnover intentions.
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Prevalence & Incidence
Prevalence & Incidence Interpretation
Business Impact & Costs
Business Impact & Costs Interpretation
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Experiences & Outcomes
Experiences & Outcomes Interpretation
Policy & Legal
Policy & Legal Interpretation
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Demographics & Labor
Demographics & Labor Interpretation
Culture, Inclusion & Mitigation
Culture, Inclusion & Mitigation Interpretation
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Prevalence & Exposure
Prevalence & Exposure Interpretation
Business Impact
Business Impact Interpretation
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Policy & Compliance
Policy & Compliance Interpretation
Market & Workforce Trends
Market & Workforce 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. 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.
Diana Reeves. (2026, February 13). Ageism In The Workplace Statistics. Gitnux. https://gitnux.org/ageism-in-the-workplace-statistics
Diana Reeves. "Ageism In The Workplace Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ageism-in-the-workplace-statistics.
Diana Reeves. 2026. "Ageism In The Workplace Statistics." Gitnux. https://gitnux.org/ageism-in-the-workplace-statistics.
References
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- 2psycnet.apa.org/record/2021-52028-001
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- 35law.cornell.edu/uscode/text/29/623
- 36eeoc.gov/age-discrimination
- 37ecfr.gov/current/title-41/chapter-60/subchapter-B/part-60-2
- 39ec.europa.eu/eurostat/databrowser/view/lfsi_emp_a/default/table?lang=en







