There is no single average no-show rate, and any article that gives you one number is quietly hiding the spread. The most rigorous figure available comes from a 2021 systematic review in the British Journal of General Practice, which pooled 19 studies reporting a rate and found the overall rate ran between 3.3% and 48.1%, with a mean of 15.2% and a median of 12.9%. The gap between the mean and median tells you the distribution is skewed by a handful of very high outliers, which is exactly why borrowing someone else's benchmark is a bad way to judge your own practice.
Last updated August 2026.
What is the average no-show rate?
The best-evidenced answer is a mean of 15.2% and a median of 12.9%, from a systematic review of missed appointments in general practice published in the British Journal of General Practice in 2021. Twenty-six studies met the review's inclusion criteria and 19 of them reported a rate. Across those 19, the review states the overall rate "was between 3.3% and 48.1%."
Hold on to that range, because it is the most useful thing in this article. A fourteen-fold spread between the lowest and highest study is not measurement noise. It reflects genuinely different populations, appointment types, booking lead times, and reminder practices. A dermatology clinic booking six weeks out and a same-day urgent care slot are not the same product, and they do not miss at the same rate.
You will also see a global average of 23.5% and a US range of roughly 5.5% to 50% quoted widely across vendor blogs. Those figures come from secondary compilations rather than a single pooled analysis, and they are directionally consistent with the peer-reviewed range without adding much precision. Treat them as a sanity check, not a benchmark.
What is a good no-show rate?
For most outpatient and appointment-based businesses, a rate in the high single digits is genuinely good, 10% to 15% is unremarkable, and anything above 20% is costing you real money and is usually fixable. But the honest answer is that "good" is relative to your own baseline and your own booking model, not to a published average.
Two practices with identical 14% rates can be in completely different situations. If one books mostly same-day and the other books six weeks ahead, the six-week practice is doing considerably better, because no-show risk climbs with lead time. Longer gaps between booking and appointment mean more opportunities for life to intervene and more time to forget. Comparing yourself to an industry average without adjusting for lead time is close to meaningless.
How do you calculate a no-show rate?
The standard formula is the number of missed appointments divided by the number of scheduled appointments, over a defined period, expressed as a percentage. The arithmetic is trivial. The definitions are where practices get different answers from the same data.
| Metric | Formula | What it tells you |
|---|---|---|
| No-show rate | No-shows ÷ total scheduled appointments × 100 | The headline number. Excludes cancellations, however late. |
| Missed appointment rate | (No-shows + late cancellations) ÷ total scheduled × 100 | Closer to the real revenue impact, since a cancellation an hour out is an empty chair too. |
| Unfilled slot rate | Slots never filled ÷ total slots × 100 | The number that actually maps to lost revenue, because it credits you for slots you backfilled. |
| No-show rate by lead time | No-shows ÷ scheduled, bucketed by days between booking and appointment | Where the fix usually reveals itself. Nearly always rises with lead time. |
Three decisions change the result more than anything else. First, what counts as a cancellation rather than a no-show: a practice that lets patients cancel at any notice and books that as a cancellation will report a flattering no-show rate while losing the same slots. Second, whether you count per appointment or per patient, since a small number of repeat offenders can dominate the raw count. Third, whether backfilled slots are excluded, because a no-show whose slot you sold to somebody on a waitlist did not cost you the same as one you did not.
Pick your definitions, write them down, and keep them stable. A no-show rate that drifts from 12% to 19% over a quarter is exactly the kind of slow-moving change that only shows up if you are monitoring the metric for unexpected drift rather than checking it once a year. The value is in the trend line, and the trend line is worthless if the definition moved underneath it.
What does a no-show actually cost?
You will see "$200 per missed appointment" and "$150 billion a year" repeated across almost every article on this subject. Both are worth treating carefully. They circulate widely through vendor content without a consistently identifiable primary study behind them, and the $150 billion figure in particular is an extrapolation rather than a measurement.
Your own number is easy to compute and far more useful. Take the average revenue of an appointment slot, subtract any variable cost you do not incur when the patient does not arrive, and multiply by the number of slots you failed to backfill. For a practice billing $180 a visit that misses 40 appointments a month and backfills a quarter of them, that is roughly $5,400 a month, which is a real budget for fixing the problem and a much better basis for a decision than a national aggregate.
Add the second-order costs if you want the fuller picture: staff time spent calling to rebook, the clinical cost of delayed care, and the queue effect where a long wait for an appointment itself increases the chance the person misses it.
Why do people miss appointments?
The BJGP review found twelve studies reporting reasons, and the most commonly reported were work or family and childcare commitments, forgetting the appointment, and transportation difficulties.
That list matters because only one of the three is a memory problem. Reminders fix forgetting, which is why they work at all, but they do nothing about a shift that got moved or a car that would not start. What a reminder can do for those cases is give the customer an easy way to say so early enough that you can fill the slot, which is a different mechanism from jogging their memory and requires different software.
Do appointment reminders reduce no-shows?
Yes for the forgetting portion, and that is a meaningful share of the total. The effect is well established enough that reminders are close to universal practice. What is far less established is the size of the effect, and this is where the category's marketing gets loose. Vendors routinely advertise specific reduction percentages, some as high as 80%, drawn from their own customer case studies. Those are vendor-reported figures from self-selected customers, not research findings, and you should not build a business case on them.
A more defensible expectation: reminders reliably cut the forget-driven portion of your no-shows, and the practices that see the largest improvements are usually the ones that had no reminder system at all, not the ones switching between vendors. If you already send reminders and your rate is still 20%, another sending tool is unlikely to be your fix.
How do you reduce no-shows beyond sending reminders?
Timing first. Two reminders outperform one for most businesses: one several days ahead, early enough that the customer can still move the appointment rather than simply not turn up, and one the day before or that morning for the people who forgot. A third at the moment of booking helps for long or expensive appointments. More than that and you train people to ignore your messages while paying per segment for the privilege.
Then make rescheduling genuinely easy. This is the single biggest lever most practices have not pulled, and it is a software problem rather than a policy one. A reminder that goes out at 6pm and gets "sorry, can we move this?" at 8pm has done its job perfectly, and then almost every reminder product on the market drops that reply into an inbox where it sits until somebody opens it the next morning. By then the appointment you were protecting is gone. Handling the reply automatically, checking real calendar availability and moving the booking in the same thread, converts a lost slot into a moved one. Our automated text reminders work this way, and if you are still choosing a vendor, our comparison of the best appointment reminder software shows which platforms include two-way replies and which sell them as an add-on.
Beyond that: shorten booking lead times where clinically and commercially sensible, since risk climbs with the gap. Keep a waitlist you can text the moment a slot opens, which turns a no-show into a filled slot rather than a loss. And look at your repeat offenders separately, because a handful of patients often account for a disproportionate share of misses and need a different intervention from your general population.
What is the no-show rate by industry?
Published rates vary widely by specialty and setting, and the compilations that circulate put dentistry near the bottom of the range and sleep clinics, dermatology and pediatrics near the top. We are not going to reproduce a precise per-specialty table here, because the underlying figures come from different studies with different definitions and different years, and lining them up in one grid implies a comparability that does not exist.
The pattern that does hold across sources is more useful than the specific numbers. Rates rise with booking lead time, they rise where appointments are free or fully covered at the point of care, they rise in populations facing transport and work-schedule constraints, and they fall where a business makes rescheduling frictionless. If you want to know your specialty's rate, measure your own, then segment it by lead time. That will tell you more than any published table.
How often should you measure your no-show rate?
Monthly is right for most businesses, with a quarterly look at the segmented view. Weekly is too noisy unless you run very high volume, since a single bad week during a school holiday will look like a trend. Annual is too slow to catch a drift while you can still trace what caused it.
Whatever cadence you pick, run the same query on the same definitions each time. Most practice management and booking systems will export the appointment log with status codes, which is all you need. The point of the number is not the number, it is noticing when it moves and knowing which segment moved.
The short version
The best evidence puts the average no-show rate at a mean of 15.2% and a median of 12.9%, with individual studies ranging from 3.3% to 48.1%. That range is the finding. Measure your own rate with definitions you write down, segment it by booking lead time, and judge your progress against your own baseline. Send two reminders rather than one, and make sure the reply goes somewhere that can act on it, because the reschedule request is the part of the conversation that actually saves the appointment.
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