Every business case for a retention programme opens with the same number. Replacing someone costs between half and two times their annual salary, and voluntary turnover costs American employers a trillion dollars a year.
Both figures come from the same page, and that page shows the working for neither.
What Gallup actually published
The Gallup article states it plainly: the cost of replacing an individual employee can range from one-half to two times the employee's annual salary, and that is described as a conservative estimate.
No source is given for that range. No method, no sample, no breakdown of which costs are included, and no explanation of what makes an employee land at the top of the range rather than the bottom. It is presented as a finding and functions as one.
The trillion is derived from it, loosely. The article cites a 26.3 percent annual American turnover rate from the Bureau of Labor Statistics for 2017, and works an illustrative example: a hundred-person organisation paying an average of 50,000 dollars faces between 660,000 and 2.6 million dollars a year. The step from that example to a national trillion is not shown.
This matters less because the number might be wrong than because of what a four-times range does to a business case. Half a salary and two salaries are different decisions. An organisation with a thousand people and 15 percent turnover is looking at somewhere between 11 and 45 million dollars depending on which end of a range with no derivation you pick, and whichever end you pick, nobody can challenge it.
The other question, and the two answers to it
There is a separate and more answerable question: does an organisation with higher turnover actually perform worse? Two meta-analyses tried to settle it, both published in 2013, and they did not agree.
| Hancock et al. 2013 | Park & Shaw 2013 | |
|---|---|---|
| Published in | Journal of Management | Journal of Applied Psychology |
| Samples | 48 independent, 157 effect sizes | 110 independent correlations |
| Total N | 24,943 | 120,066 |
| Turnover and performance | −0.03 | −0.15 |
A factor of five between two peer-reviewed syntheses of the same literature, in the same year. Park and Shaw drew on roughly five times the sample and reported the larger effect; Hancock and colleagues applied a different set of inclusion rules and found something close to zero.
Neither is obviously wrong, and the disagreement is itself the useful finding. The honest summary is that the relationship between how much turnover an organisation has and how well it performs is somewhere between negligible and modest. It is not the catastrophe the trillion implies, and it is not nothing.
Where the two agree, and why it is the most useful part
Set the headline numbers aside and the two papers converge on something more practical.
Involuntary turnover barely matters. Park and Shaw separate the types and find voluntary turnover at −0.15 and reduction-in-force turnover at −0.17, against involuntary turnover at −0.01. Firing people who are not working out is, in the aggregate, unrelated to how the organisation performs.
That single contrast does more work than either headline. It means the damaging thing is not people leaving. It is people you wanted to keep leaving, and people leaving in a restructure. An organisation reporting its turnover rate as one number is reporting a mixture of a problem, a neutral fact and a management action.
The damage concentrates. Hancock and colleagues find the mean correlation moves with context: −0.08 for managerial employees against −0.03 overall, −0.07 in manufacturing and transportation, −0.07 in midsize organisations, and, most tellingly, −0.10 where performance is measured as customer service and −0.12 where it is measured as quality and safety.
So the cost shows up first in the things customers and regulators notice, and it is roughly three times larger for managers than for the workforce as a whole. That is an argument for targeting retention spend rather than for a general alarm, and it lines up with what is happening to that population: manager engagement fell five points in a single year while the workforce around them moved one.
More turnover hurts more than proportionally. Park and Shaw also report that the strength of the relationship varies with the average turnover rate itself, suggesting a curve rather than a straight line. An organisation going from 8 to 12 percent is in a different situation from one going from 25 to 29, and an average effect across both tells you about neither.
What a defensible number looks like
The replacement cost of one departure is real and it is calculable. It is just specific to the role, and the specificity is the point.
The components are not in dispute: advertising and agency fees, the hours the hiring manager and the panel spend, onboarding and training, the output lost while the seat is empty, and the ramp before the replacement reaches full productivity. Every one of those is knowable inside a single organisation from data it already holds, and none of them is knowable in general.
Two things make the difference between an estimate and a figure that survives a finance review:
Separate voluntary from involuntary before you cost anything. They are different events with different causes and, on the evidence, very different consequences. An organisation that cannot split its turnover figure cannot begin this calculation.
Weight by role, not by headcount. A manager's departure, on the meta-analytic evidence, is roughly three times as consequential as the average. A departure from a team whose output a customer sees directly, or where quality and safety are measured, is worse again. Costing every leaver at a flat multiple of salary buries exactly the distinction the evidence says matters.
And there is a timing point worth building in. Rubenstein and colleagues, pooling 117 studies, find a correlation of −0.27 between tenure and voluntary turnover: leavers go early. Which means the cost of a departure and the probability of one are correlated in the least convenient way, because the people most likely to leave are the ones whose recruitment and ramp costs you have most recently paid. That is examined in where the leaving risk actually sits.
Common questions
How much does it cost to replace an employee? The widely quoted range of half to two times annual salary is published by Gallup without a stated method or source. The underlying cost components, recruitment, onboarding, vacancy and ramp time, are real and calculable inside one organisation, but they vary too much by role for a general multiple to be meaningful.
Does turnover actually hurt company performance? Somewhere between negligibly and modestly. Two meta-analyses published in 2013 report corrected correlations of −0.03 and −0.15 for the relationship between turnover rates and organisational performance.
Why do the two meta-analyses disagree? Different inclusion rules and very different samples: 24,943 people across 48 samples in one, 120,066 across 110 independent correlations in the other. Neither has been shown to be wrong, and the disagreement is a fair description of how well the question is settled.
Which turnover is most damaging? Voluntary turnover and reduction-in-force turnover, at −0.15 and −0.17. Involuntary turnover sits at −0.01, essentially unrelated to performance.
Does it matter who leaves? Yes, more than how many. The relationship is roughly three times stronger for managerial employees than for the workforce overall, and strongest where performance is measured as customer service or as quality and safety.
Is the trillion-dollar figure reliable? It is derived from the unsourced replacement-cost range and a national turnover rate, and the article that publishes it does not show the aggregation. Treat it as rhetoric rather than as a measurement.
What should we use instead? Your own numbers, split by voluntary and involuntary, weighted by role. Every input is already in your recruiting and payroll systems, and a figure you can defend line by line survives a finance review that a borrowed multiple does not.
Sources
- Gallup, This Fixable Problem Costs U.S. Businesses $1 Trillion
- Hancock, Allen, Bosco, McDaniel & Pierce (2013), Meta-Analytic Review of Employee Turnover as a Predictor of Firm Performance, Journal of Management 39(3), 573-603
- Park & Shaw (2013), Turnover rates and organizational performance: A meta-analysis, Journal of Applied Psychology 98(2), 268-309
- Rubenstein, Eberly, Lee & Mitchell (2018), Surveying the forest: a meta-analysis of the antecedents of voluntary employee turnover, Personnel Psychology 71(1), 23-65
