How to Calculate Employee Turnover Rate (With Formula and Benchmarks)
Employee turnover rate is one of the most important metrics in HR - it signals the health of your organization, the effectiveness of your hiring, and the quality of your management. Calculating it correctly, and understanding what drives it, is fundamental to any serious people strategy.
The Basic Turnover Rate Formula
The standard employee turnover rate formula is:
Example: Your company started the year with 200 employees and ended with 220. During the year, 30 employees left. Your average headcount is (200 + 220) / 2 = 210. Your annual turnover rate is (30 / 210) x 100 = 14.3%.
Calculating Average Headcount
Average headcount is typically calculated as (headcount at start of period + headcount at end of period) / 2. For monthly calculations, use the headcount on the first and last day of the month. For annual calculations, use January 1 and December 31.
Some organizations use a more precise method of averaging headcount across every day of the period, which is more accurate when headcount fluctuates significantly. For most purposes, the simple two-point average is sufficient.
Voluntary vs. Involuntary Turnover
Total turnover rate blends two very different phenomena - employees who chose to leave and employees who were asked to leave. These need to be tracked separately because they have different causes and different implications.
Voluntary Turnover
Voluntary turnover includes resignations, retirements, and employees who left for personal reasons. This is the number that reflects your organization's ability to retain talent. High voluntary turnover is a signal that something about the employee experience, compensation, management, or culture is pushing people out.
Involuntary Turnover
Involuntary turnover includes terminations for performance or conduct, layoffs, and role eliminations. This reflects organizational decisions rather than employee choices. High involuntary turnover may signal hiring quality problems (bringing in people who cannot perform), management failures, or strategic shifts.
Additional Turnover Segmentations
Regrettable vs. Non-Regrettable Turnover
Not all voluntary departures are equally bad. Losing a top performer is very different from losing someone who was underperforming and likely to be managed out anyway. Tracking "regrettable turnover" - departures of employees you would have wanted to retain - gives you a much more accurate picture of retention health than total voluntary turnover.
To calculate this, you need managers to classify departures at the time they occur. This adds some subjectivity, but the pattern over time is highly informative. If your regrettable turnover is consistently concentrated in one department or one manager's team, that is a signal worth acting on.
New Hire Turnover (First-Year Attrition)
Turnover within the first 12 months is particularly costly because you have invested recruiting, onboarding, and training resources without getting a full return. Track this separately:
First-year attrition above 20-25% is a serious warning sign that typically points to problems in hiring (mismatched expectations or poor candidate assessment), onboarding (new hires not getting enough support), or the role itself (misrepresented in the hiring process).
Industry Benchmarks for 2026
Turnover rates vary dramatically by industry, role type, and geography. Here are approximate annual voluntary turnover benchmarks:
- Retail and hospitality: 50-75% annually (high-volume, part-time workforce)
- Food service and quick service restaurants: 75-100%+ annually
- Healthcare (clinical staff): 18-25% annually
- Manufacturing: 15-20% annually
- Financial services: 12-18% annually
- Technology: 13-20% annually (varies significantly by function and company stage)
- Professional services: 15-20% annually
- Non-profit: 19-25% annually
These ranges are starting points, not targets. The more relevant benchmark is your own historical trend and, where possible, peer companies of similar size and stage.
The Real Cost of Employee Turnover
Turnover is expensive. The commonly cited figure is 1.5 to 2x annual salary for the cost of replacing an employee when you account for: recruiting costs (job board fees, agency fees, recruiter time), onboarding and training costs, productivity loss during the vacancy period, productivity loss while the new hire ramps up, and the knowledge and relationship capital lost with the departing employee.
For a $70,000 employee, replacing them costs roughly $105,000 to $140,000 in total. For a $150,000 senior engineer, the cost can easily exceed $250,000. These numbers make the business case for retention investment extremely clear - investing $10,000 per year in better management, recognition programs, or career development to retain someone who would otherwise leave is a strong return on investment.
How Treegarden helps
Treegarden's reporting suite tracks time-to-hire, source quality, and new hire retention metrics in one dashboard. You can see which hiring sources and which managers have the best and worst 90-day and 12-month retention outcomes - giving you the data to make smarter hiring and management decisions.
Book a free demoWhat High Turnover Usually Signals
Before launching a retention program, it is worth diagnosing the cause of turnover. Common root causes fall into a few categories:
- Compensation: Employees are regularly receiving outside offers that are materially better than what you pay
- Manager quality: The classic "people leave managers, not companies" - poor management is consistently the top driver of voluntary turnover in research studies
- Growth and development: Employees do not see a career path or feel they are learning and advancing
- Work-life fit: Hours, flexibility, remote work policies, or workload are not sustainable
- Culture and belonging: Employees do not feel included, valued, or aligned with the company's direction
- Hiring misalignment: Candidates were sold a role that did not match reality - either the job itself or the environment
Exit interviews and regular stay interviews (asking current employees why they stay and what might cause them to leave) are the most direct way to diagnose turnover drivers before they become departures.
How to Calculate Turnover Costs
To calculate the actual cost of turnover for your organization, use this formula:
- Separation costs: Manager time for performance management, HR processing, severance if applicable
- Vacancy costs: Lost productivity while the role is open, overtime paid to cover the gap, temporary staff costs
- Recruitment costs: Job board fees, agency fees, recruiter time (internal or external), interview time for hiring team
- Onboarding costs: Training materials, trainer time, new hire ramp-up period (typically 3-6 months to full productivity)
Add these up for a realistic picture of what each departure actually costs. This calculation is worth doing once and presenting to leadership - it makes the business case for retention investment in a language they understand.
Monthly vs. Annual Turnover
Annual turnover is the most common reporting period, but monthly tracking lets you spot emerging trends before they become significant problems. If voluntary turnover spikes in Q2 of every year, that might correlate with bonus payout timing (employees staying until their bonus vests and then leaving). If it spikes after a specific organizational change, that is a direct signal about the impact of that change.
Monthly formula:
To annualize monthly turnover: Monthly Rate x 12. Note that this only works accurately as an estimate - it assumes the monthly rate would hold constant, which it usually does not.
Conclusion
Turnover rate is a lagging indicator - by the time you see it, the decisions that drove it have already been made. The organizations that manage it best treat it as a diagnostic tool to understand what is happening in their workforce, pair it with leading indicators like engagement scores and stay interview data, and use it to make targeted investments in the areas where retention is most at risk. Start by calculating your rate correctly, segment it meaningfully, and then dig into the data to find the real story underneath.