Attrition rate is departures divided by average headcount, multiplied by 100. This guide shows how to calculate attrition rate with 3 worked examples, covers the monthly, annualised, YTD and rolling 12-month variants, and sets your result against 2026 India benchmarks by industry.
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Important notice: attrition rate work touches HR and employment data. For anything involving severance, statutory dues or employee benefits, check with an HR compliance professional or legal counsel before you act on a number.
Most teams calculate attrition rate the wrong way, and the error is nearly always in the denominator. Use opening headcount instead of average headcount and you overstate the rate every time people leave mid-period.
This guide gives you the formula, 3 worked examples with the arithmetic shown, the monthly, annualised, YTD and rolling variants, and 2026 India benchmarks so you can tell a real problem from a normal quarter.
Attrition rate = (number who left during the period / average headcount during the period) x 100, where average headcount = (headcount at the start + headcount at the end) / 2. If 25 people left a team that went from 200 to 185, average headcount is 192.5 and the quarterly attrition rate is 13.0%.
What is the attrition rate formula?
The attrition rate formula divides departures by average headcount, then multiplies by 100. It behaves identically for employee attrition in HR and for customer attrition (churn) in a subscription business. Only the base population changes.
Attrition rate (%) = (number who left during period / average headcount during period) x 100
Average headcount = (headcount at start + headcount at end) / 2
Averaging the 2 endpoints matters. If a lot of people left, the opening number no longer describes the workforce that actually existed during the period, and the rate comes out too high. For a deeper breakdown of each term, see our guide to the attrition rate formula.
Worked example 1: quarterly employee attrition
Employees at the start of Q1: 200
Employees at the end of Q1: 185
Employees who left during Q1: 25
Average headcount: (200 + 185) / 2 = 192.5
Attrition rate: (25 / 192.5) x 100 = 13.0% for the quarter
Worked example 2: 200 at the start, 150 at the end, 25 leavers
A common version of the question keeps the leavers fixed and shrinks the closing headcount, usually because hiring stopped.
Employees at the start: 200
Employees at the end: 150
Employees who left: 25
Average headcount: (200 + 150) / 2 = 175
Attrition rate: (25 / 175) x 100 = 14.3% for the period
Same 25 leavers, and the rate moves from 13.0% to 14.3%. The denominator is doing all the work, which is exactly why the average matters.
The attrition rate formula in Excel
In Excel or Google Sheets, put leavers in B1, opening headcount in B2 and closing headcount in B3. Then use =B1/AVERAGE(B2:B3) and format the cell as a percentage. For an annualised view from a monthly rate, use =1-(1-B4)^12 where B4 holds the monthly rate.
What is attrition rate, and why does it matter?
Attrition rate is the share of people who leave over a set period, expressed against the average population for that period. In HR it counts employee departures. In a recurring-revenue business it counts cancelled customers, and most people call it churn.
What attrition actually costs
Gallup puts the cost of replacing 1 employee at 50% to 200% of that person’s annual salary, and describes the range as conservative. That is the number to put in front of a manager who treats a resignation as an HR problem rather than a budget problem.
Run it on a 100-person company: 20%% voluntary attrition is 20 departures. At an average CTC of Rs 30 lakh and a replacement cost of 80%% of CTC, that is Rs 24 lakh per exit and Rs 4.8 crore a year. The retention conversation changes once the number has a currency symbol on it.
Attrition vs turnover vs churn
Attrition means positions that are not backfilled, so the organisation shrinks. Turnover counts every departure including the ones you replace. Churn is the customer-side word. The arithmetic is identical in all 3 cases; only the interpretation changes.
Which type of attrition are you measuring?
Name the type before you calculate attrition rate, because 6 different numbers hide under 1 label. Overall, voluntary, involuntary, regrettable, non-regrettable and customer attrition each point at a different decision.
Voluntary vs involuntary
Voluntary attrition covers resignations, so it is your retention scorecard. Involuntary attrition covers terminations and layoffs, which are usually planned. A 20% overall rate made of 15% involuntary exits is a restructure; the same 20% made of resignations is a retention failure.
Regrettable vs non-regrettable
Tag every exit as regrettable (a strong performer you wanted to keep) or non-regrettable (someone who was not working out). Low performers leaving is healthy churn in the workforce. A sensible target is overall attrition around 20% with regrettable attrition held under 8%.
Customer attrition and churn
For customer attrition, count customers who cancelled, stopped paying or went quiet past your inactivity threshold, such as 90 days without a purchase. The effect compounds through MRR and lifetime value, so model it with a churn rate impact simulator and weigh acquisition costs against retention costs before setting a budget.
How do you calculate attrition rate step by step?
6 steps: set the period, count only real departures, average the headcount, apply the formula, segment the result, then automate it. The first 3 steps decide whether the number is trustworthy; the last 3 decide whether it is useful.
Step 1: Set the time period
Monthly is the most granular and best for catching spikes early. Quarterly suits business reviews. Annual suits benchmarking and planning. Most organisations track monthly internally and annualise for external reporting. Pick 1 window and hold it, because a rate calculated over a different window is not comparable.
Step 2: Count only real departures
Internal transfers: exclude them, a move between departments is not an exit
Temporary leave: exclude maternity, sabbatical and medical leave
Contractors: include only if you are explicitly measuring the contingent workforce
Suspended roles: count as departures only when the position is eliminated
Step 3: Calculate average headcount
Take the average of the opening and closing headcount, never the opening number alone. If you started January with 500 people and 50 left, ending at 450, your denominator is (500 + 450) / 2 = 475, not 500.
Step 4: Apply the formula
Employees on 1 January 2026: 500
Employees on 31 December 2026: 480
Departures during 2026: 75
New hires during 2026: 55
Average headcount: (500 + 480) / 2 = 490
Annual attrition rate: (75 / 490) x 100 = 15.3%
That 15.3% means roughly 75 exits from an average team of 490. Against the benchmark table further down, it sits inside the normal band for an Indian mid-market company.
Step 5: Segment the result
By intent: 75 departures might split into 60 voluntary (controllable) and 15 involuntary (planned)
By value: of those 60 voluntary exits, 20 were strong performers and 40 were not
By function: 25% in engineering is a crisis; 25% in sales is a normal year
By tenure: 40% first-year attrition is an onboarding problem; 5% at the 5-year mark is healthy
Step 6: Automate the calculation
Pull the inputs from your HRIS rather than a hand-maintained spreadsheet. Darwinbox, Keka and greytHR are common in India; Visier, Lattice and Culture Amp add flight-risk scoring. For customer attrition, Chargebee and Stripe Billing report churn natively.
How do you calculate monthly, annualised, YTD and rolling attrition?
Same formula, different window. Calculate attrition rate monthly using 1 month of leavers over that month’s average headcount. Annualised, YTD and rolling 12-month rates reshape that figure for different audiences, so label the window every time you quote a number.
Monthly attrition rate
Divide the month’s leavers by the average of opening and closing headcount for that month, then multiply by 100. Useful for spotting a bad month while you can still act on it.
Annualised attrition rate
Use the compound version, not simple multiplication: annualised rate = 1 – (1 – monthly rate)^12. A 2% monthly rate works out to 1 – (0.98)^12 = 1 – 0.7847 = 0.2153, or 21.5% annualised, not 24%. The base shrinks each month, so multiplying overstates the year.
YTD attrition rate
Year to date attrition counts every leaver since the financial year opened, over average headcount across the elapsed months. Most Indian HR reviews use it mid-year. Never compare a 4-month YTD rate against a full-year benchmark without annualising it first.
Rolling 12-month (LTM) attrition
Rolling attrition uses the trailing 12 months and moves forward each month, smoothing out hiring cycles and appraisal-season exits. This is the version listed Indian IT firms publish: TCS reported LTM IT services attrition of 13.6% for the quarter ended 30 June 2026.
Attrition formula in BPO and contact centres
The formula does not change in BPO, but 2 conventions do. Count agents only, excluding support functions, and report monthly because the base moves fast. Most contact centres also track early attrition separately, meaning exits inside the first 90 days.
What are attrition rate benchmarks in India for 2026?
Annual attrition of 12% to 17% is typical for Indian IT services, while BPO and contact centres run at 30% to 50% and government roles at 2% to 5%. Judge your number against your sector, not against a general rule.
Annual voluntary attrition rate benchmarks in India, 2026. IT services is anchored to TCS reported LTM attrition; all other ranges are an upGrowth estimate, September 2026.
Industry or sector
Annual attrition (2026)
Healthy range
Main drivers
IT services (TCS, Infosys, Wipro)
12% to 17%
Under 15%
Career growth, compensation, location
IT startups and product companies
18% to 30%
Under 20%
Equity upside, funding stage, culture
BPO and contact centres
30% to 50%
Under 35%
Shift pressure, entry-level wages
BFSI (banking, financial services)
15% to 22%
Under 18%
Compensation, regulatory load
Manufacturing
8% to 12%
Under 10%
Skill availability, safety concerns
Retail
25% to 40%
Under 30%
Hourly wages, shift flexibility
Healthcare (nurses, doctors)
12% to 18%
Under 15%
Burnout, on-call pressure, pay scales
Government and PSU
2% to 5%
Under 5%
High job security, few exits
EdTech startups
22% to 35%
Under 25%
Rapid scaling, role clarity, funding
Only 1 row here is externally verified: IT services, anchored to TCS reported LTM attrition of 13.6% for the quarter ended 30 June 2026. Every other range is an upGrowth estimate for September 2026, so treat it as orientation rather than an audited figure.
What are the common mistakes when you calculate attrition rate?
The 6 mistakes below all change the number you report, and 2 of them change it enough to hide a genuine problem. Work through them before the figure reaches a slide.
Denominator mistakes
Using opening headcount alone reads 75 / 500 = 15.0% where the correct calculation reads 75 / 490 = 15.3%. Counting internal transfers or leave as departures inflates the numerator the same way.
Segmentation mistakes
A single blended rate hides the story. Split voluntary from involuntary, regrettable from non-regrettable, and cut by tenure. If most exits land in the first year, that is a hiring and onboarding problem no retention bonus will solve.
Context mistakes
A 12% annual rate is strong for Indian IT services and poor for a government role, where 2% to 5% is normal. Startups sit higher, usually 18% to 30%. Attrition without a benchmark and a cost figure is trivia, not a decision.
How do you reduce attrition once you have measured it?
Fix what the segments point at, not attrition in general. The 4 moves below follow directly from the breakdown you just built, and each one targets a specific slice of the number.
Protect the people you cannot replace
Measure regrettable attrition on its own, with a target under 8%. Retention spend aimed at everyone gets diluted; aimed at strong performers in critical roles it usually pays for itself on the first save.
Give managers the cost, not the percentage
Tell a manager that each exit on their team costs 50% to 200% of that person’s annual salary to replace. That framing moves behaviour in a way an HR dashboard rarely does.
Act on flight risk before the resignation
Falling engagement scores, tenure milestones around the 2-year and 3-year marks, below-market pay and slow promotion velocity are all visible before an exit. Most HRIS platforms flag them once you turn the module on.
Quantify your exit interviews
Code exit reasons into fixed categories and track which one leads each quarter. If career growth tops the list, career pathing beats a pay revision. The same discipline picks your customer retention tactics on the customer side.
FAQs: how to calculate attrition rate
What is a good attrition rate?
For most Indian companies, annual voluntary attrition under 15% is healthy. IT services should aim under 15%, IT startups under 20%, BFSI under 18%, and BPO or contact centres under 35% because the work itself is high churn. Government and PSU roles sit under 5%. Judge against your sector, not a universal target.
What is the difference between attrition rate and churn rate?
Attrition rate is the HR term for employees leaving. Churn rate is the business term for customers leaving. The calculation is identical: departures divided by the average base for the period, multiplied by 100. Only interpretation differs. Employee attrition costs replacement spend and lost knowledge; customer churn hits recurring revenue and lifetime value.
How do you calculate attrition rate for 1 month?
Divide the people who left during the month by the average headcount for that month, then multiply by 100. Average headcount is the opening figure plus the closing figure, divided by 2. Example: 8 leavers from an average of 400 gives (8 / 400) x 100 = 2.0% for the month.
How do you calculate annualised attrition rate?
Use the compound formula: annualised rate = 1 – (1 – monthly rate)^12. A 2% monthly rate gives 1 – (0.98)^12 = 1 – 0.7847 = 0.2153, or 21.5% annualised. Do not multiply by 12, which gives 24% and overstates the year because the base shrinks each month.
What is YTD attrition and how do you calculate it?
Year to date attrition counts everyone who left since the financial year began, divided by average headcount across the months elapsed so far, multiplied by 100. It is the standard mid-year HR review figure in India. A 4-month YTD rate is not comparable with an annual benchmark unless you annualise it first.
What is the attrition formula in BPO?
BPO uses the same formula: agents who left divided by average agent headcount, multiplied by 100. Only 2 conventions differ. Count agents alone, excluding support functions, and report monthly because the base moves fast. Most contact centres also track early attrition separately, meaning exits within the first 90 days, which signals hiring quality.
Your Next Move: turn the number into a retention plan
An attrition rate is a diagnosis, not a plan. Calculate attrition rate monthly, segment it by intent, value and tenure, and put a rupee figure next to the regrettable slice.
Then fix the 1 segment costing you most, rather than launching a company-wide programme against a blended number.
Employee attrition measures only the departures from an organization, while turnover accounts for both departures and their replacements. This distinction is vital because attrition provides a pure signal of talent loss, whereas turnover reflects the total churn and hiring activity. Focusing solely on attrition helps you isolate and address the root causes of why people leave, separate from your recruitment efforts.
The strategic implications are significant. A high attrition rate, even with low turnover, indicates a potential culture or compensation problem that hiring cannot solve. For example, replacing a skilled employee in India can cost 50-200% of their annual salary in lost productivity and recruitment fees. By distinguishing the two, you can diagnose whether your core issue is retaining talent (attrition) or the efficiency of your hiring pipeline (turnover). Understanding this difference is the first step toward building a more precise and effective workforce strategy detailed in the full article.
You should track several distinct types of attrition to get a complete picture of workforce dynamics. Looking beyond the overall number allows you to diagnose specific issues, from leadership failures to necessary organizational changes. Segmenting attrition data transforms a simple metric into a powerful diagnostic tool for strategic HR.
Key attrition segments to monitor include:
Voluntary Attrition: Employees who resign. A spike here often signals issues with management, compensation, or culture.
Involuntary Attrition: Employees who are terminated or laid off. This reflects restructuring or performance management effectiveness.
Regrettable Attrition: The loss of high-performing employees whose departure negatively impacts the business.
Non-Regrettable Attrition: The departure of low-performing employees, which can be a positive for organizational health.
For instance, Indian IT services companies often show a high overall rate of 20-25%, but their more manageable voluntary attrition of 12-15% tells a more nuanced story. Explore how to set up this segmented tracking in the complete guide.
The ideal approach is to track monthly attrition for internal diagnostics while annualizing it for strategic planning and benchmarking. Monthly tracking provides immediate feedback, allowing you to quickly spot and react to sudden spikes caused by events like a problematic manager or a new competitor. This high-frequency measurement is your early warning system for retention issues.
However, an annualized rate is better for strategic analysis. It smooths out monthly fluctuations and provides a stable metric for comparing your performance against industry benchmarks, such as the 18-30% voluntary attrition seen in Indian startups. A monthly rate can be misleading for long-term planning due to seasonality. Use monthly data for tactical responses and annualized data for board-level reporting and long-term strategy. The full article provides guidance on how to effectively annualize your monthly figures for a balanced view.
Customer attrition, or churn, has a more immediate and direct impact on top-line revenue than employee attrition. While losing an employee creates costs related to replacement and productivity loss, losing a customer directly reduces recurring revenue streams. For a SaaS business, controlling customer churn is a primary lever for sustaining growth and profitability.
The financial metrics most affected by customer attrition are Monthly Recurring Revenue (MRR) and Customer Lifetime Value (CLV). Each customer who churns chips away at your MRR base, forcing you to acquire new customers just to maintain your current revenue level. High churn severely depresses CLV, making it difficult to justify customer acquisition costs. While high employee attrition is costly, high customer attrition can threaten the fundamental viability of a recurring-revenue business model. Learn more about calculating both types of attrition by reading on.
Segmenting the high overall attrition rate is crucial for understanding the true health of these organizations. An aggregate 20-25% rate seems alarming, but it combines controllable and planned departures. The real story lies in the voluntary attrition rate, which reflects the core challenge of retaining talent by choice.
For many Indian IT services companies, the voluntary attrition rate is closer to 12-15%. The remaining 8-10% is often involuntary, resulting from planned workforce rebalancing, performance management, or project completions. This context shows that while retention is a challenge, a significant portion of departures are strategic or managed. By focusing on the 12-15% voluntary figure, these companies can target their retention efforts on controllable factors like career growth, compensation, and work culture, rather than reacting to a misleadingly high top-line number. The full article explains how you can apply this segmentation.
The elevated voluntary attrition in Indian startups points to a unique set of challenges tied to their high-growth, high-pressure environments. Unlike established firms, startups often have less defined career paths, greater workload volatility, and compensation packages heavily weighted toward equity that may not materialize. This environment attracts risk-tolerant talent but also fosters higher burnout and quicker departures for more stable opportunities.
Factors contributing to the 18-30% rate include:
Intense Competition: Startups fiercely compete for a limited pool of specialized talent, leading to frequent poaching.
Cultural Instability: Rapid scaling can lead to cultural dilution and a lack of established management practices.
Resource Constraints: Limited budgets may prevent them from matching the salaries and benefits offered by larger corporations.
This data suggests startups must prioritize culture and create clear growth pathways early on to mitigate talent loss. Discover strategies for managing this in the rest of the content.
Absolutely, calculating a reliable quarterly attrition rate requires a consistent process. This discipline ensures your metric is accurate and comparable over time, providing a true measure of workforce stability. The key is to precisely define your counts at the start, end, and during the period.
Here is a four-step plan for your 200-person company:
Step 1: Define the Period: Set your exact start and end dates for the quarter, for example, Q1 runs from January 1 to March 31.
Step 2: Count Headcount: Record the number of active employees on day one (e.g., 200 on Jan 1) and the number on the last day (e.g., 185 on Mar 31). New hires during the quarter are captured in the end count.
Step 3: Count Departures: Tally the total number of employees who left the company during this period (e.g., 25).
Step 4: Calculate the Rate: First, find the average headcount: (200 + 185) / 2 = 192.5. Then, apply the formula: (25 / 192.5) × 100 = 13.0% quarterly attrition.
Explore the full guide for more examples and ways to avoid common calculation errors.
To ensure your attrition rate is an accurate signal of talent loss, you must exclude all employee movements that are not true departures from the organization. The most common error is including internal transfers, which inflates the attrition metric and masks true retention performance. An internal transfer represents talent mobility and development, not a loss to the company.
Specifically, you should always exclude:
Internal Transfers: Employees moving between departments, business units, or geographic locations.
Promotions or Role Changes: Individuals taking on new responsibilities within the same company.
Temporary Leaves: Staff on sabbatical, parental, or long-term disability leave who are still considered employees.
By counting only true exits, your attrition rate becomes a precise measure of how well you are retaining people within your entire organization. The full article provides more detail on defining and counting departures correctly.
A rising attrition rate is a powerful financial signal that should prompt a strategic shift in budget allocation from reactive recruitment to proactive retention. The high cost of replacement means that every employee you save represents a significant ROI. Instead of funding a perpetually spinning hiring machine, you should invest in fixing the leaks in your talent bucket.
Specifically, a rising rate justifies reallocating funds toward:
Enhanced Compensation & Benefits: Conducting market analysis to ensure competitiveness.
Leadership Development: Training managers to be better coaches, as most voluntary departures are linked to management issues.
Employee Engagement Programs: Investing in tools and initiatives that improve workplace culture and employee satisfaction.
A 1% reduction in attrition can save a mid-sized company hundreds of thousands of dollars, making retention a fiscally prudent focus. Explore the full article for more on the financial case for retention.
An upward trend in voluntary attrition over multiple quarters is a clear warning that your employee value proposition is weakening and requires immediate strategic intervention. This is not a cyclical fluctuation but a signal of systemic issues. Leaders must pivot from passive monitoring to active problem-solving before the trend accelerates further.
Key strategic adjustments include:
Conduct Exit Interview Analysis: Move beyond collecting data to analyzing it for patterns. Are departures concentrated in specific teams or linked to certain managers?
Review Compensation and Career Paths: Benchmark salaries and career progression opportunities against key competitors who may be poaching your talent.
Launch a Culture Audit: Use anonymous surveys and focus groups to diagnose underlying issues related to workload, recognition, or psychological safety.
Ignoring this trend risks eroding institutional knowledge and morale. The rest of this guide offers a framework for building a proactive retention strategy.
The most common and critical mistake is using either the starting or ending headcount instead of a true average. This error systematically skews the attrition rate, making it appear higher if your company is shrinking or lower if it is growing. Using a simple average headcount provides a more stable and representative denominator for the calculation.
For example, if a company starts with 200 employees, loses 25, and ends with 185, using the starting count of 200 would yield a 12.5% rate. Using the ending count of 185 would yield a 13.5% rate. The correct method, using the average headcount of 192.5, gives a rate of 13.0%. This approach properly accounts for the changing size of the workforce throughout the period, ensuring the metric accurately reflects the proportion of employees who left relative to the typical number employed. The full article details this and other common pitfalls.
Focusing only on the overall attrition number is flawed because it treats all departures as equal, which they are not. The loss of a low performer can be a net positive, while the loss of a top performer can disrupt projects and demotivate entire teams. Tracking regrettable attrition provides a precise, high-stakes signal that leadership must act on immediately.
By isolating the departure of your top 20% of talent, you can:
Identify Critical Failure Points: The exit of a star employee often points directly to a significant problem, such as a weak manager, a blocked career path, or a non-competitive compensation package.
Protect Future Value: High performers drive a disproportionate amount of business value. Retaining them is one of the highest-ROI activities for any leader.
Prioritize Interventions: Instead of broad, generic retention programs, you can focus resources on the teams and leaders most at risk of losing critical talent.
Learn how to define and measure this crucial metric by exploring the rest of our content.
Amol has helped catalyse business growth with his strategic & data-driven methodologies. With a decade of experience in the field of marketing, he has donned multiple hats, from channel optimization, data analytics and creative brand positioning to growth engineering and sales.
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