Absenteeism costs a factory in three ways: the floaters you keep on the payroll to fill gaps, the overtime you pay at twice the ordinary rate for gaps the floaters can't cover, and the output you lose on the gaps nobody covers. On this calculator's defaults (500 workers, 8% absent, 20 floaters, ₹15,000 a month) that comes to about ₹6.98 lakh a month. Most owners only ever see the overtime line.
How the calculator works
The calculator takes seven inputs:
- Workers. Headcount expected on the floor each day, permanent and contract together.
- Average absence (%). The share of that headcount that doesn't turn up on an average day. Take it from your attendance register, not from memory.
- Floater operators kept. Spare multi-skilled people you pay every month so you can plug gaps.
- Monthly wage (₹). A typical operator's monthly wage. The calculator uses the same wage for floaters and for the people who work overtime.
- Share of remaining gaps covered by overtime (%). Once the floaters are placed, this is how many of the leftover gaps you fill by keeping someone back on overtime.
- Lost output value per uncovered absence per day (₹). What one empty station costs you in a day: the contribution, not the sales value, of the output that doesn't get made.
- Working days a month.
The formulas:
Absent a day = workers × absence %
Gaps filled by floaters = the smaller of absent a day and floaters kept
Gaps filled by overtime = (absent − floater-filled) × overtime share
Uncovered gaps = absent − floater-filled − overtime-filled
Floater cost a month = floaters kept × monthly wage
Overtime cost a month = overtime gaps × (monthly wage ÷ working days) × 2 × working days
Lost output a month = uncovered gaps × lost output per gap × working days
Three design choices are deliberate:
- Floaters are paid whether or not they are needed. If absence on a given day is lower than your pool, the spare floaters still draw a full wage. That is the real trade-off of a standing pool.
- Overtime is priced at 2×. Under section 27 of the OSH Code, overtime is paid "at the rate of twice the rate of wages", and it needs the worker's consent. One gap filled by overtime is 8 overtime hours, costing two days' wages, spread in practice across several people. Your state caps total overtime each quarter.
- The absent worker's own wage is left out. The calculator assumes unauthorised absence is unpaid. Paid leave is a cost you carry anyway, so it doesn't belong in this figure.
Worked example (India)
A 500-worker engineering or garment unit. All values are assumptions for illustration; they are the calculator's defaults. Use your own state's notified minimum wage and your own payroll.
| Input | Value | Basis |
|---|---|---|
| Workers | 500 | assumption |
| Average absence | 8% | assumption |
| Floaters kept | 20 | assumption |
| Monthly wage | ₹15,000 | assumption |
| Remaining gaps covered by overtime | 30% | assumption |
| Lost output per uncovered absence per day | ₹600 | assumption: contribution of one station-day |
| Working days a month | 26 | assumption |
| Absent a day | 40 | 500 × 8% |
| Filled by floaters | 20 | smaller of 40 and 20 |
| Filled by overtime | 6 | (40 − 20) × 30% |
| Uncovered | 14 | 40 − 20 − 6 |
| Floaters a month | ₹3.00 lakh | 20 × ₹15,000 |
| Overtime cover a month (2×) | ₹1.80 lakh | 6 × ₹576.92 × 2 × 26 |
| Lost output a month | ₹2.18 lakh | 14 × ₹600 × 26 = ₹2,18,400 |
| Total a month | ₹6.98 lakh | about ₹83.8 lakh a year |
How the total moves with the absence rate, holding everything else at the defaults:
| Average absence | Absent a day | Floaters | Overtime | Lost output | Total a month |
|---|---|---|---|---|---|
| 4% | 20 | ₹3.00 lakh | ₹0 | ₹0 | ₹3.00 lakh |
| 8% | 40 | ₹3.00 lakh | ₹1.80 lakh | ₹2.18 lakh | ₹6.98 lakh |
| 11% | 55 | ₹3.00 lakh | ₹3.15 lakh | ₹3.82 lakh | ₹9.97 lakh |
At 4% the pool covers every gap and the whole cost is the floaters' wages. Above that, each extra point of absence adds about ₹1 lakh a month, because every new gap falls into overtime or lost output while the floater line stays flat. Chronic, predictable absence favours a bigger trained pool; rare, spiky absence favours occasional overtime.
What typical numbers look like
- About one worker in ten is absent on a typical day in large Indian garment factories. Using six months of worker-level data from four Shahi Exports factories in Karnataka, researchers found that "10-11% of workers were absent on a typical day with nearly all absenteeism being 'unauthorised'" (full paper: Adhvaryu et al., HBS Working Paper 21-109).
- Lines absorb absence up to a point. The same study found absenteeism had little effect on productivity until it reached 10%. After that, "every additional percentage point increase in absenteeism reduces productivity by 0.25 percentage points".
- Other sectors. We found no recent, credible public dataset on daily absenteeism for Indian engineering, food or electronics plants. Measure your own by line and by day of the week.
What this number does not tell you
- Why people are absent. The study above traced most absence to unexpected domestic work and festivals that need travel home. A cost figure says nothing about causes, and planning for festival weeks is a different fix from addressing Monday absence.
- The bad days. The calculator works on an average. Real absence is lumpy: one line can be 20% short while the next is full. Lost output on the bad days is usually worse than the average suggests, because the bottleneck station is what's missing.
- Whether floaters can do the job. A floater who can't run the bottleneck operation fills a headcount gap, not a capacity gap. Count only floaters who are trained on the stations that stop the line (the multi-skilling matrix shows how).
- Whether overtime is legally available. Overtime needs consent and sits under your state's quarterly ceiling. A plan that leans on overtime every day can hit that ceiling.
- What a camera can and cannot see. A camera can count how many stations were manned and for how long, and show where work piled up behind an empty one. It cannot tell you who is absent or why. It shouldn't try. Attendance belongs in your register, handled with a proper DPDP worker notice.
Related guides
- 8–12% Daily Absenteeism: Rebalancing a Sewing Line and the ₹ Cost of Floaters
- The Multi-Skilling Matrix: What to Do When an Operator Doesn't Show Up (EMS Lines)
- Shop-Floor Discipline Without Micromanaging: What Cameras Actually Reveal
- Overtime cost calculator (₹)
- Shift-edge leakage calculator (₹)
FAQ
How do you calculate the cost of absenteeism in a factory? Add three things: the monthly wages of the floaters you keep, overtime at twice the daily wage for gaps covered by overtime, and the contribution lost on gaps nobody covers. At 500 workers, 8% absence, 20 floaters, ₹15,000 a month and ₹600 lost per empty station-day, that is about ₹6.98 lakh a month.
What is a normal absenteeism rate in Indian factories? The best public Indian data, from four large garment factories in Karnataka, shows 10–11% absent on a typical day, almost all unannounced. We found no comparable recent data for other sectors, so measure your own by line and day.
Are floaters cheaper than overtime? Per gap filled, usually yes: a floater costs one day's wage for a gap, and overtime costs two. But floaters are paid on low-absence days too. If your absence is steady and predictable, a pool sized near your average pays. If it is rare and spiky, overtime is cheaper.
Is overtime always paid at double the wage in India? Section 27 of the OSH Code sets overtime at twice the rate of wages, and overtime needs the worker's consent. "Wages" here means basic plus DA, not gross pay. Your state sets the total overtime allowed in a quarter.
Can cameras track which workers are absent? They shouldn't, and the cost figure doesn't need them to. What matters for output is how many stations ran and where work piled up, which cameras can show in aggregate. Who is absent is a matter for the attendance register and HR.
Mama can draw a camera plan for the stations where gaps cost you output. Leave an email or phone in the form below.