Minutes per room: the benchmark everyone quotes and few measure
The housekeeping standard time is the number every rota depends on. It is also the number most properties have inherited rather than established. For a complementary labour-cost view, this calculator guide explains how wage percentage can be calculated.
Ask a hotel manager how long a departure clean takes and you will usually get a confident figure — thirty minutes, forty-five, twenty. Ask where the figure came from and the answer thins out considerably. It came from a previous property, a supplier, an industry article, or the number that was already in the spreadsheet when they arrived. The history and limits of time-and-motion studies are relevant whenever minutes per unit become a benchmark.
This matters because the standard time is the multiplier on which the entire housekeeping schedule rests. If it is wrong by five minutes and you clean forty rooms a day, the rota is wrong by more than three hours every day, in one direction or the other, permanently.
What the figure has to include
A large part of the disagreement between quoted benchmarks is that they are not measuring the same span. Before comparing your number to anyone else's, establish what is inside it.
- Bed stripping and remaking — the largest single component in most timings, and highly sensitive to bed size and linen type.
- Bathroom — the second largest, and the one with the widest variance between a shower room and a full bathroom with a bath.
- Surfaces, floors and glass.
- Restocking consumables and minibar.
- Inspection and reporting of any defect found.
- Trolley restocking attributable to that room.
- Travel from the previous room to this one.
The last two are where published benchmarks and reality most often diverge. A figure that excludes travel and trolley time can be twenty percent below the number you need for scheduling, and it will be the number the supplier quotes.
Departures and stayovers are different jobs
Treating them as one is the most common structural error in housekeeping planning. A stayover service — refreshing towels, making the bed, emptying bins, quick bathroom clean — is typically less than half the time of a departure clean, sometimes under a third.
A property scheduling a flat average across both will be badly wrong on any day where the mix shifts, which is most days. Split the standard time in two and forecast the two volumes separately. It is a five-minute change to a spreadsheet and it materially improves every subsequent estimate.
Departure clean and stayover service need separate standard times. Any rota built on a blended average is accurate only on days with an average mix, and there are fewer of those than you would expect.
Measuring your own, without theatre
The instinct is to time people, which produces the wrong data. Observed timings are faster than real ones and they poison the relationship with the department.
Better approaches record the work rather than the worker. If the property management system logs room status changes, the interval between a room going into cleaning and coming out of it is already being captured, and a fortnight of that data gives a usable distribution at no cost and with no observation.
Where that is not available, a simple self-recorded sheet works, provided it is explicitly framed as measuring the rooms and not the people, and provided nothing individual is ever done with it. Aggregate by room type and floor, never by name.
Read the spread, not the average
The distribution tells you more than the mean. A departure clean with a median of thirty-two minutes and an interquartile range of twenty-nine to thirty-six is a stable process you can schedule tightly.
The same median with a range from twenty-two to fifty-five is not one process; it is several different jobs sharing a name. Something is driving the long tail — a room type, a floor, a particular linen change, a specific defect that recurs — and finding it is worth more than any amount of adjustment to the average.
The building is a variable
Layout changes standard time more than most managers credit. Distance to the linen store, whether there is a service lift, floor plate size, whether rooms are in a single block or scattered pavilions.
Resort properties with detached units are the extreme case: travel between rooms can consume a quarter of a shift, and a benchmark borrowed from a corridor hotel will be badly optimistic. If the same team cleans a compact block and a spread-out annexe, those genuinely need different standard times, and treating them as equivalent will make the annexe team look slow for the rest of their employment.
Revisit it after any change
Standard times drift. A new linen supplier with heavier sheets, an amenity range with more items to place, a change of bed size, a refurbishment that adds a second basin — each moves the number by a few minutes, and few of them come with a review of the schedule.
Attaching a re-measurement to any operational change that touches the room is a cheap discipline. Without it, the standard time slowly detaches from reality and the housekeeping team absorbs the difference by working through breaks.