Key Takeaways
- 47% of employees cite lack of career development as top turnover reason
- Poor management accounts for 65% of turnover cases globally 2023
- Work-life balance issues drive 39% of voluntary quits US 2022
- Average cost of turnover per employee is $15,000 in US 2023
- Replacing an employee costs 1.5-2x annual salary globally
- Hidden costs like lost productivity add 33% to turnover expenses
- In 2023, the global average employee turnover rate was 18.4%
- US voluntary turnover rate reached 4.5% monthly in late 2021
- UK employee turnover averaged 15.2% in 2022 across sectors
- Hospitality industry turnover rate averaged 73.9% annually in US 2022
- Retail sector turnover reached 60.2% in 2023 globally
- Tech/IT turnover was 13.2% in US 2023
- Companies investing in retention see 81% lower turnover costs
- Turnover rates projected to stabilize at 15% globally by 2025
- Gen Z turnover 2x higher than boomers at 27% 2023
Career development gaps and toxic cultures drive most turnover, costing US employers about $1 trillion annually.
Causes and Drivers of Turnover
Causes and Drivers of Turnover Interpretation
Costs and Financial Impacts
Costs and Financial Impacts Interpretation
Global and National Turnover Rates
Global and National Turnover Rates Interpretation
Sector and Industry Turnover Rates
Sector and Industry Turnover Rates Interpretation
Trends, Predictions, and Retention Metrics
Trends, Predictions, and Retention Metrics 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.
Rachel Svensson. (2026, February 13). Employee Turnover Industry Statistics. Gitnux. https://gitnux.org/employee-turnover-industry-statistics
Rachel Svensson. "Employee Turnover Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/employee-turnover-industry-statistics.
Rachel Svensson. 2026. "Employee Turnover Industry Statistics." Gitnux. https://gitnux.org/employee-turnover-industry-statistics.
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