Comparability
What is a good HRV? Why Apple Watch, WHOOP, Oura and Garmin show different numbers
There is no universal good HRV. Why Apple Watch, WHOOP, Oura, Garmin and Fitbit show different numbers, what is typical for your age, and how to read your trend.
Quick answer
There is no universal good HRV. Healthy adults range from under 20 to over 200 milliseconds, HRV falls with age, and Oura's member average is about 41 ms. Devices disagree because they use different maths at different times: Apple Health reports SDNN from short readings, while WHOOP, Oura, Garmin and Fitbit average RMSSD over your sleep. A good HRV is one that holds at or above your own baseline, so compare it only with your own trend.
Your HRV this morning is 38. Your friend’s is 92. You both slept eight hours, you both trained yesterday, and your Apple Watch and their WHOOP seem to agree that their nervous system is in far better shape than yours.
They do not agree on anything. Those two numbers were calculated with different maths, at different times, by devices that were never designed to be compared. Here is what HRV actually measures, why every device reports it differently, and what counts as good for you.
What HRV is measuring
Your heart does not tick like a metronome. Even at a steady 60 beats per minute, the gap between beats stretches and shrinks by tens of milliseconds, and heart rate variability is the size of that wobble. More wobble generally means your rest-and-digest system has the upper hand. Less tends to show up after short sleep, alcohol, stress, illness or a heavy training block.
The range is enormous. Oura puts typical values anywhere from under 20 to over 200 milliseconds, and its average across members in 2026 was about 41 ms, 42.8 for men and 39.1 for women. HRV also declines with age, which Garmin builds into its own status labels. That is why “what is a good HRV” has no single answer: a number that is excellent at 55 can be ordinary at 25.
Two kinds of maths: RMSSD and SDNN
Before devices even disagree about timing, they disagree about the formula.
- RMSSD compares each beat interval with the one right before it. It is the measure researchers use for the vagal, rest-and-digest side of your nervous system, and it is what WHOOP, Oura and Fitbit say they use. Garmin’s HRV explainer describes RMSSD too.
- SDNN measures the overall spread of every beat interval in a window. Both halves of the nervous system feed into it, and it grows with the length of the recording. Apple Health reports HRV as SDNN.
These are not two names for one number. A widely cited review of HRV metrics warns that it is inappropriate to compare SDNN values taken over windows of different length, and that 24-hour, short and ultra-short norms are not interchangeable. Even in the lab, the pooled norms for a five-minute recording come out at about 50 ms for SDNN and 42 ms for RMSSD, so the two sit on different scales before a wearable is involved at all.
When each device takes the reading
Same heart, six ways to report its variability
| Device | Statistic | When it measures | Read against |
|---|---|---|---|
| Apple Watch | SDNN in Apple Health | Short readings while you are still: every few hours on older watches, as often as every five minutes on Series 12 | Series 12 and Ultra 4 add Recovery HRV, analysed overnight against your personal baseline |
| WHOOP | RMSSD | A weighted average across the night, favouring slow-wave sleep and later stages | Your 30-day baseline |
| Oura | RMSSD | The mean of five-minute samples while you sleep, plus a nightly maximum | HRV Balance: your last 14 days against your three-month average |
| Garmin | Overnight average, explained as RMSSD | The whole sleep period, in five-minute windows | A seven-day average against your baseline range |
| Fitbit | RMSSD | Your longest sleep in the past 24 hours, if it ran over three hours | Your own trend in the Google Health app |
| Samsung | Not published | During sleep, as one of five overnight vitals | A baseline built over seven nights |
Read the Apple row twice, because it is changing. For years the watch sampled HRV in short readings while you were still, by default every four hours, plus any time you opened a Breathe session. Apple’s September 2026 update says Series 12 and Ultra 4 now measure HRV as often as every five minutes, and add a Recovery HRV that is analysed overnight against your own baseline. Apple has not said which statistic Recovery HRV uses. Until it does, treat an Apple number and an Oura number as two different instruments, not one instrument read twice.
Timing matters as much as the formula. A reading snatched at your desk after a coffee and an average across a full night of sleep are measuring your nervous system in two different states. Neither is wrong. They just answer different questions.
How to read your own HRV
The good news is that every device converges on the same advice, because every one of them reads HRV against you.
- Nightly HRV
- Seven-day average
- Your baseline
Illustrative shapes, not measured data. Fourteen nights.
- Give it a baseline first. Garmin’s HRV Status needs about three weeks of consistent sleep data, Samsung builds its baseline over seven nights, and WHOOP compares you with the last 30 days. A number with no baseline behind it has nothing to be read against.
- Ignore single nights. Look at the dip on day five in the chart above: one bad night, already recovered. The run of low nights in week two is the thing worth noticing, which is why Garmin judges your seven-day average and Oura weights your last 14 days.
- Act on runs, not readings. Several days below your baseline usually means sleep, stress, alcohol, illness or training load caught up with you. An easier day and an earlier night is the standard response.
- Do not switch devices mid-trend. Moving from an Apple Watch to a ring swaps SDNN for RMSSD and daytime readings for overnight ones. Start a fresh baseline rather than reading the new numbers against the old.
HRV belongs with the other overnight numbers that only make sense against yourself, resting heart rate and your sleep score, and it is the main ingredient in every branded recovery and readiness score, which is why those do not compare between people either.
Fit, the cross-brand fitness competition app, treats HRV exactly this way, and since it is our app, weigh this accordingly. Fit reads HRV from whichever tracker you wear and shows today’s number against your own normal. On a crew’s board it appears only as health context, never a podium, and its note flags the catch from this post: Apple reports SDNN while WHOOP, Garmin, Oura and Fitbit report RMSSD, so a gap between two devices can be the maths rather than the heart. The crew races on effort instead, using the units that carry between brands.
What to do with this
- Stop comparing your HRV with anyone else’s. Age and genetics spread healthy people from 20 to over 200 milliseconds, and devices do not even use the same formula.
- Wear one device the same way, every night. Overnight averages are steadier than spot readings, and consistency is what makes a baseline.
- Read the weekly direction. Above or at baseline, carry on. A run of days below it, back off and sleep.
- Pair it with resting heart rate. HRV falling while resting heart rate climbs is one of the clearest recovery signals a wearable can give you, on any brand.
Questions people actually ask
What is a good HRV for my age?
There is no single good number. Oura puts typical values anywhere from under 20 to over 200 milliseconds, and its 2026 member average was about 41 ms, slightly higher for men than women. HRV also falls with age, so a 50-year-old with a lower number than a 25-year-old is normal. The more useful question is whether your HRV is holding at or above your own baseline, which is what every device's readiness or status feature checks.
Why is my Apple Watch HRV different from my Oura or WHOOP HRV?
Two reasons. Apple Health reports HRV as SDNN, while Oura, WHOOP, Garmin and Fitbit use RMSSD, a different calculation that reflects a different part of your nervous system. And they measure at different times: older Apple Watches take short readings while you are still, every few hours by default, while the others average readings across your sleep. Different maths at different times will not produce matching numbers, in either direction.
What is the difference between RMSSD and SDNN?
RMSSD looks at how much each heartbeat interval differs from the one before it, which mostly reflects your rest-and-digest, or parasympathetic, activity. SDNN measures the overall spread of your beat intervals, which both branches of the nervous system feed. Both are in milliseconds, but they are separate statistics, and a review of the research warns that their normal values are not interchangeable, especially across recordings of different length.
Why did my HRV drop?
Common causes are short or poor sleep, alcohol, stress, illness and a hard training block, and Cleveland Clinic also lists ageing and a higher body mass index among the things that lower HRV over time. One low night is mostly noise. A run of days below your own baseline is the signal worth acting on, usually with an easier day and an earlier night.
Can I compare my HRV with a friend's?
Not meaningfully. Genetics and age spread healthy people across a range of 20 to 200 milliseconds or more, so a higher number than somebody else does not mean healthier. Across devices it is worse, because one may report SDNN and the other RMSSD, measured at different times. Compare your HRV only with your own history on the same device.
How long does a wearable take to learn my HRV baseline?
It varies by brand. Garmin's HRV Status needs about three weeks of consistent sleep data before it shows a status, Samsung builds its overnight vitals baseline over seven nights, WHOOP compares you with your 30-day baseline, and Oura's HRV Balance weighs your last 14 days against your three-month average. Until the baseline exists, the daily number has nothing to be read against.
Sources
- Apple Newsroom: Apple advances health and fitness capabilities (September 2026)
- Apple: heart rate, calorimetry and activity on Apple Watch (white paper, November 2024)
- WHOOP Support: heart rate variability
- Oura Member Care: heart rate variability
- Garmin: HRV Status
- Google Health Help: heart rate variability on Fitbit
- Shaffer and Ginsberg, an overview of heart rate variability metrics and norms (Frontiers in Public Health, 2017)
- Oura: average HRV by age and sex, from member data
Get the next one by email
Occasional notes on making fitness numbers comparable across devices, and reading your own baseline. No spam, unsubscribe in one tap.
We email you once to confirm. Your address is only used for these notes.