Voluntary Turnover Rate is a critical performance indicator that reflects employee satisfaction and organizational health.
High turnover can erode institutional knowledge, disrupt team dynamics, and inflate recruitment costs.
Conversely, low turnover often correlates with enhanced operational efficiency and employee engagement.
Companies that actively track this metric can make data-driven decisions to improve retention strategies, ultimately driving better business outcomes.
A strategic alignment with workforce needs can yield significant ROI metrics, enhancing overall financial health.
Organizations should aim for a target threshold that balances talent retention with fresh perspectives.
Voluntary Turnover Rate appears in three of KPI Depot's KPI groups, and its rank shifts sharply between them. In HR Analytics/Data Management it sits at priority two, second only to Attrition Rate and just ahead of Involuntary Turnover Rate, so it is one of that group's lead retention metrics. In HR Operations/Administration it is a mid-order metric behind Turnover Rate, Retention Rate, and Employee Satisfaction. In Workforce Planning it drops to a supporting role well below Headcount and Turnover Rate. Where you place your attention depends on which of these groups frames the work.
On the internal perspective it reads as a lagging signal: it confirms disengagement that leading measures such as Employee Satisfaction Index and Employee Net Promoter Score predict earlier. The tension worth naming is with Involuntary Turnover Rate, its neighbor in the HR Analytics group. A team that trims low performers pushes involuntary separations up while pulling voluntary ones down, so a falling Voluntary Turnover Rate can flatter a workforce that is simply being managed out rather than choosing to stay. The metric that reconciles the two is the blended Turnover Rate that heads the HR Operations group, which stops either side from hiding in the other.
The formula divides voluntary exits by average number of employees, so two upstream choices decide the result before any calculation. First, classification: every separation has to be sorted into voluntary or involuntary, and the hard cases are retirements, mutual departures, and non-regrettable exits. Write the rule down and apply it consistently, because the Involuntary Turnover Rate right beside this KPI moves in the opposite direction when you shift a case across the line. Second, the denominator: an average headcount built from start and end of period behaves differently from a monthly average during hiring surges, and the BLS quits rate uses a different base again.
The data lives in the HRIS, and the join that matters is separation records to an accurate active-employee population for the same window. Segment by tenure band and by department, since early-tenure quits and long-tenure quits point to different problems, and separate regrettable from non-regrettable losses. The pitfalls that distort this metric are misfiled retirements, backfill lag that changes the denominator, and small populations where a handful of exits swing the figure. Resist comparing your internal number straight to a published quits rate whose denominator you did not build.
Ignoring the underlying causes of turnover can lead to recurring issues that impact morale and productivity.
Enhancing employee retention requires a multifaceted approach that addresses both workplace culture and individual needs.
We have 5 relevant benchmarks in our benchmarks database.
Source: Subscribers only
Source Excerpt: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | percent | mixed | 2022–23 academic year | full-time non-exempt staff | higher education | United States |
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Source Excerpt: Subscribers only
Additional Comments: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | percent | mixed | 2022–23 academic year | full-time exempt staff | higher education | United States |
Source: Subscribers only
Source Excerpt: Subscribers only
Formula: Subscribers only
Additional Comments: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | percent | average | public sector | 2024 annual average | employees (voluntary separations/quits) | government | United States |
Source: Subscribers only
Source Excerpt: Subscribers only
Formula: Subscribers only
Additional Comments: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | percent | average | mixed | 2024 annual average | employees (voluntary separations/quits) | cross-industry | United States |
Source: Subscribers only
Source Excerpt: Subscribers only
Additional Comments: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | percent | average | mixed | 2024–2025 | employees | cross-industry | United States | 2,617 organizations |
Browse the Top Benchmarked KPIs in HR Analytics/Data Management
The tracked sources measure quitting in ways that do not line up, which is the first thing to check before trusting any external figure. U.S. Bureau of Labor Statistics JOLTS reports voluntary separations as quits, and its denominator is establishment employment from the CES survey rather than an average headcount you would compute internally. CUPA-HR surveys higher-education institutions and, tellingly, splits results by staff class, reporting exempt and non-exempt staff separately, so a single higher-ed number can hide two very different populations. Mercer collects directly from organizations across industries.
So the forks that move a reported figure are population and denominator, not just the headline. BLS blends the whole labor market and separates only by sector such as government versus the broader economy; CUPA-HR is one industry cut fine by staff type; Mercer is a cross-industry organizational sample. Each also decides differently what counts as voluntary, since retirements and end-of-contract exits can land on either side of the line. Compare a source to your own number only after you have matched its population, its denominator, and its definition of a voluntary exit.
Both HR groups that carry this KPI use it as a key result by name. In HR Analytics/Data Management the objective of enhancing workforce stability by targeting turnover and attrition drivers lists lowering Voluntary Turnover Rate directly alongside Attrition Rate, Retention Metrics, and Absenteeism Rate. HR Operations/Administration ladders it to the same stability objective, paired with Retention Rate and New Hire Retention Rate.
The cleaner framing keeps voluntary and involuntary losses visible together, so a team commits to reducing regrettable voluntary departures while holding involuntary turnover steady, which prevents the quiet substitution of one for the other. Ground the objective in the group's real retention material and keep any figure a directional goal the team sets, not a benchmark.
This KPI is associated with the following categories and industries in our KPI database:
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A healthy voluntary turnover rate typically falls below 10%. This indicates a stable workforce and suggests that employees are satisfied with their roles and the organization.
High turnover can disrupt team dynamics and lead to loss of institutional knowledge. This often results in increased recruitment costs and can negatively affect overall productivity.
Common causes include lack of career advancement opportunities, inadequate compensation, and poor work-life balance. Addressing these factors can help reduce turnover rates.
Turnover rates should be analyzed quarterly to identify trends and address issues promptly. Regular monitoring allows organizations to make timely adjustments to their retention strategies.
Yes, a positive company culture fosters employee engagement and satisfaction. When employees feel valued and connected to their workplace, they are less likely to leave.
Management significantly influences turnover rates through their leadership style and support for employees. Effective managers create environments where employees feel heard and valued, reducing the likelihood of turnover.
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