Employee turnover is not one universal number. A useful 2026 view separates voluntary quits, layoffs, total separations and organisation-specific retention, then keeps the population and geography attached to every statistic.<\/p>\n
That distinction matters because a national labour-market quits rate is not the same thing as a company’s annual turnover rate, and neither one tells you by itself whether turnover is healthy, preventable or costly.<\/p>\n
The U.S. Bureau of Labor Statistics Job Openings and Labor Turnover Survey (JOLTS) reported 5.4 million total separations in June 2026. Of those, 3.2 million were quits and 1.8 million were layoffs and discharges. The quits rate was 2.0% for the month.<\/p>\n
Source: U.S. Bureau of Labor Statistics, Job Openings and Labor Turnover Survey<\/a><\/p>\n These are U.S. nonfarm labour-market estimates for a single month. They should not be presented as a global employee-turnover rate or as the annual turnover rate that every employer should expect.<\/p>\n For a practical explanation of the retention calculation, see MATSH’s guide to employee retention rate<\/a>.<\/p>\n Gallup’s employee-retention research, updated in February 2026, reported that 51% of U.S. employees were watching for or actively seeking a new job in its latest measure. That is an attitude measure, not an observed quits rate.<\/p>\n The same Gallup analysis reported that 42% of people who had voluntarily left an employer in the previous 12 months said their manager or organisation could have done something to prevent their departure.<\/p>\n Source: Gallup, 42% of Employee Turnover Is Preventable but Often Ignored<\/a><\/p>\n The useful management lesson is not that 42% of all turnover everywhere is preventable. Gallup’s figure comes from a defined U.S. study of voluntary leavers. It shows that managers and organisations can sometimes intervene before an employee exits, especially when the underlying problem is clarity, development, recognition, workload, management quality or career progression.<\/p>\n Turnover creates real costs, but a single claim such as \u201cevery departure costs X times salary\u201d is usually too broad to be useful. Replacement cost depends on the role, labour market, time to fill, onboarding period, lost productivity, customer continuity, knowledge loss and whether temporary cover is required.<\/p>\n A stronger internal cost model separates:<\/p>\n Finance and HR should build these estimates from the organisation’s own data rather than importing a headline multiplier from another population.<\/p>\n An organisation-wide rate can hide the problem. Analyse turnover by relevant groups where sample sizes and privacy allow:<\/p>\n A 12% annual turnover rate can mean very different things if most departures are planned retirements versus if the organisation is repeatedly losing scarce technical employees within their first year.<\/p>\n Exit interviews can be useful, but they should not be treated as a complete causal dataset. Employees may simplify their reasons, avoid criticism or cite a new job offer when the deeper issue developed over months.<\/p>\n Use several signals together:<\/p>\n Start with the roles and teams where turnover has the greatest operational impact. Then identify which drivers are actually changeable. A retention response might involve manager capability, career paths, workload, pay, job design, scheduling, recognition, internal mobility or clearer expectations.<\/p>\nQuits, turnover and retention are different measures<\/h2>\n
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Employees can be open to leaving even when quits are not surging<\/h2>\n
Do not use one universal replacement-cost multiplier<\/h2>\n
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Turnover should be segmented before it is interpreted<\/h2>\n
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Exit reasons need more than an exit interview<\/h2>\n
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What should organisations do with turnover data?<\/h2>\n