Resting heart rate (RHR) is the number of times your heart beats per minute while you are awake, still and relaxed, with no recent exercise, stress or large meal pushing it up. In a U.S. reference sample of 14,200 healthy adults, the 5th to 95th percentile ran from about 50 to 95 beats per minute depending on age and sex, and aerobic training, sleep, illness and alcohol all move where you land.
Measured once, the number places you in the population, and higher values go with higher long-term mortality. Measured daily, it becomes a personal signal, and a morning several beats above your own baseline usually means something is costing your body extra work. The resting heart rate guide goes deeper on each section below. The wearable data quality guide ranks resting heart rate against other wearable metrics by accuracy.
01What the number measures
Your heart has to move a fixed amount of blood per minute to meet resting demand. Cardiac output is heart rate multiplied by stroke volume, the blood ejected with each beat. A heart that ejects more per beat needs fewer beats to deliver the same output, which is why a trained endurance athlete can sit in the 40s with no sign of disease.
Buchheit's 2014 review of heart rate monitoring in athletes lists four determinants of resting heart rate: cardiac morphology, plasma volume, the autonomic nervous system and the baroreflex. Autonomic balance shifts overnight after a drink or an infection, while heart size and the heart's own pacemaker change over months of training. That mix lets one number serve as a slow fitness marker and a fast stress marker.
02Resting heart rate and sleeping heart rate
The same person produces a different number depending on how and when the reading is taken. Four versions circulate, and they do not compare with each other.
| Version | How it is taken | Where it sits |
|---|---|---|
| Clinic pulse | Seated, after a few minutes of quiet rest | Typically above a morning or sleeping value |
| Morning supine | Lying in bed after waking, before standing | Lower, because lying still cuts demand |
| Apple Watch resting heart rate | Estimated from sedentary readings across the day | Revised as the day goes on |
| Sleeping heart rate | Lowest stretch of heart rate during sleep | Usually the lowest, since sleep has the least sympathetic drive |
The CDC reference values below use the first version. A physician counted the radial pulse for 30 seconds after the participant had sat quietly for about 4 minutes, then doubled the count (Ostchega et al., 2011).
Apple describes its resting heart rate in the HealthKit documentation as "an estimation of the user's lowest heart rate during periods of rest." The watch builds it by analyzing sedentary heart rate samples throughout the day, and Apple warns that a sedentary sample taken just after a hard workout can sit well above your true resting rate. Because the estimate improves as the day goes on, Apple Watch may delete earlier resting heart rate samples and replace them with better ones, for the current or previous day. A morning value in the Health app can therefore change by the afternoon.
Sleep is a separate state. Heart rate normally falls from waking to sleep levels, following your circadian rhythm and the drop in sympathetic activity. Ben-Dov and colleagues (2007) classed a fall of less than 10 percent from awake to sleep heart rate as "nondipping" in 3,957 patients having ambulatory blood pressure monitoring, and a blunted dip predicted all-cause mortality independently of the other measures. Apple now treats the two as different metrics as well. Its Vitals app reports overnight heart rate from sleep, and on Apple Watch Series 12 and Ultra 4 it adds a separate daytime view with resting heart rate and HRV.
Buchheit called night recordings "theoretically the best (more standardized) recording condition" for heart rate monitoring, though in 2014 they were hard to collect daily. A watch worn to bed removes that cost. Whichever version you use, keep it fixed, because a change of method looks identical to a change in physiology.
03How accurate Apple Watch is at rest
Apple Watch reads heart rate by photoplethysmography. Green LEDs flash hundreds of times per second and photodiodes measure how much light the blood in your wrist absorbs with each pulse. Apple lists a supported range of 30 to 210 bpm. Series 12 and Ultra 4 measure with green light as often as every five seconds during the day and switch to infrared LEDs during your sleep schedule (Apple, 2026).
Bent and colleagues (2020) tested six wearables against an ECG patch in 53 people spread evenly across all six Fitzpatrick skin tone groups. At rest, consumer devices averaged a mean absolute error of 7.2 bpm, and Apple Watch 4 had the lowest error of the consumer devices at 4.4 bpm. Error during activity ran about 30 percent higher than at rest. Accuracy did not differ significantly by skin tone and did differ between devices.
Those errors apply to readings over a few minutes. A daily value built from many readings averages away much of the random error, though it cannot remove a consistent bias. Apple's own guidance starts with a snug band.
04Normal resting heart rate by age and sex
Ostchega and colleagues (2011) built the standard U.S. reference from 14,200 adults in the National Health and Nutrition Examination Survey, 1999 to 2008, after excluding pregnancy, irregular pulses, abnormal thyroid function, likely active infection and drugs that change heart rate, such as beta blockers.
| Age | Men, mean | Men, 5th to 95th percentile | Women, mean | Women, 5th to 95th percentile |
|---|---|---|---|---|
| 20 to 39 | 71 bpm | 52 to 89 bpm | 76 bpm | 57 to 95 bpm |
| 40 to 59 | 71 bpm | 52 to 90 bpm | 73 bpm | 56 to 92 bpm |
| 60 to 79 | 70 bpm | 50 to 91 bpm | 73 bpm | 56 to 92 bpm |
| 80+ | 71 bpm | 51 to 94 bpm | 73 bpm | 56 to 93 bpm |
Seated radial pulse. Source: Ostchega et al. (2011), NCHS National Health Statistics Report 41, Tables 2 and 3.
Men stay flat at 70 to 71 bpm across adulthood. Women start higher and settle at 73 bpm from 40 onward.
The textbook normal range of 60 to 100 bpm is wider than the healthy distribution. Only 1.3 percent of men and 1.9 percent of women in the sample had a pulse of 100 or higher, while 15.2 percent of men and 6.9 percent of women were below 60. The report cites a revised clinical guideline that moves the thresholds to 50 and 90. It also shows why one reading says little about a person. In participants measured on two separate days, the intraclass correlation was only 0.69.
Quer and colleagues (2020) give a wearable reference from 32.7 million daily Fitbit values in 92,457 U.S. adults. Fitbit's value is meant to represent the rate just after waking, before getting out of bed. The mean was 65.5 bpm, lower than the seated CDC figure, as the method predicts. Ninety-five percent of men fell between 50 and 80 bpm and 95 percent of women between 53 and 82 bpm. Individual averages spanned roughly 40 to 109 bpm.
The Fitbit data add detail a clinic visit cannot. Resting heart rate rose with age until about 50, then declined. Women were higher than men at every age. It was lowest in people sleeping 7 to 7.5 hours a night. It varied by about 2 bpm across the year, peaking in January and bottoming out in July. Age, sex, BMI and sleep duration together explained no more than 10 percent of the differences between people, so most of what sets your number is individual.
05What training does to it
Regular aerobic exercise lowers resting heart rate, by less than most people expect. Reimers and colleagues (2018) pooled 191 controlled studies with 215 samples. The median program ran 12 weeks at three sessions per week.
| Training type | Trials | Before | After | Change |
|---|---|---|---|---|
| Endurance | 121 | 72.4 bpm | 68.0 bpm | −6.0% |
| Yoga | 21 | 76.1 bpm | 70.4 bpm | −7.2% |
| Strength | 43 | 69.1 bpm | 67.8 bpm | −2.5% |
Intervention groups only. Source: Reimers et al. (2018), Journal of Clinical Medicine.
Every type of training lowered resting heart rate on average, and only endurance training and yoga lowered it significantly in both men and women. Men in the endurance trials fell from 70.3 to 64.0 bpm, women from 73.6 to 69.8 bpm. People who started higher dropped further, and older participants dropped less. A new runner should expect a few beats over three months. An endurance athlete's number reflects years of aerobic volume, much of it easy zone 2 work.
The mechanism is less settled than fitness writing suggests. The classic account credits a bigger stroke volume and stronger vagal braking at rest. Reimers and colleagues point to human work in which neither higher parasympathetic tone nor a changed response to adrenaline explained the drop, which leaves a slower built-in rate set by the heart's own pacemaker. D'Souza and colleagues (2014) showed that route in mice. Trained animals kept their slow rate after drug blockade of the autonomic nervous system and in isolated sinus node tissue, and the cause was a downregulation of the HCN4 pacemaker channel. The same paper notes that endurance athletes have a higher incidence of sinus node disease and pacemaker implantation.
A low number fits years of training. Beta blockers, an underactive thyroid and conduction disease also slow the heart, so the number alone proves nothing about fitness. For men aged 20 to 39 in the CDC sample, the 1st percentile was 47 bpm. A rate in that range with no symptoms fits a trained heart. A low rate with dizziness, fainting, unusual breathlessness or falling exercise tolerance needs a clinician.
06What pushes it above your baseline
A single morning is noisy. Buchheit put the typical day-to-day error of resting heart rate at about 10 percent, 5 or 6 beats on a baseline of 55. He found that correlations with performance in endurance athletes appeared only when 3 to 4 days of data were averaged. The useful question is whether today is unusual for you and whether it stays that way. Quer's Fitbit data give a sense of scale. Most people had a median weekly fluctuation of only 3 bpm, and 20 percent had at least one week in which resting heart rate swung by 10 bpm or more.
| Cause | Evidence | Typical pattern |
|---|---|---|
| Illness | Wearable RHR tracked state flu rates (Radin, 2020) and flagged COVID-19 before symptoms (Mishra, 2020) | Rises and holds over several mornings |
| Alcohol | Sleeping HR up 1.4, 4.0 and 8.7 bpm after low, moderate and high intake (Pietilä, 2018) | One-night spike with a known cause |
| Heat | Cardiac output can double under passive heat stress, mostly through heart rate (Crandall, 2015) | Tracks hot days and warm bedrooms |
| Dehydration | Low body water raises sympathetic activity (Watso, 2019) | Clears with fluids |
| Overreaching | Short overload blocks raised resting HR moderately, longer blocks did not (Bosquet, 2008) | Builds over a hard block, easing with lighter training |
Illness
An infection raises resting heart rate, often before you feel sick. In 47,249 Fitbit users across five U.S. states, the share of people with elevated resting heart rate and longer sleep improved forecasts of CDC influenza-like illness rates in every state (Radin et al., 2020). Mishra and colleagues (2020) found 32 people with COVID-19 in a smartwatch cohort of nearly 5,300. An alert based on extreme resting heart rate rises against each person's own baseline would have flagged 63 percent of cases before symptoms, in real time. A rise that persists over two or more mornings with no training or alcohol to explain it is the illness pattern.
Alcohol
Pietilä and colleagues (2018) compared nights with and without alcohol in 4,098 Finnish employees, using the first three hours of sleep. Heart rate rose 1.4 bpm after low intake (up to 0.25 g/kg), 4.0 bpm after moderate intake and 8.7 bpm after high intake (above 0.75 g/kg). For a 75 kg person, 0.75 g/kg is about four standard U.S. drinks. RMSSD, the vagal HRV measure, fell by 2.0, 5.7 and 12.9 ms across the same groups.
Heat and dehydration
Heat raises heart rate to move blood to the skin. Crandall and Wilson (2015) describe cardiac output rising up to twofold under passive heat stress, driven by a higher heart rate while stroke volume holds steady. A hot night can lift a sleeping reading with no change in fitness. Fluid loss adds to it. Watso and Farquhar (2019) review evidence that low body water increases sympathetic nerve activity and vasopressin release. The clearest numbers come from exercise, where Adams and colleagues (2014) found heart rate rose about 3 bpm for each 1 percent of body mass lost. No study in this list measured the resting effect of dehydration directly, so treat that figure as direction only. See hydration.
Overreaching
The training signal is weaker than coaching folklore suggests. Bosquet and colleagues (2008) meta-analyzed overload studies in competitive athletes. Interventions shorter than two weeks produced a moderate rise in resting heart rate, with a standardized mean difference of 0.55, and a moderate fall in maximum heart rate. Longer interventions left resting values unchanged. The authors concluded that changes this size can fall inside normal day-to-day variation, so they need other signs of overreaching to mean anything. The ECSS and ACSM consensus statement on overtraining (Meeusen et al., 2013) found that no marker it reviewed meets all the criteria for general use.
HRV tracks fatigue a little better. In the data Buchheit reviewed, the signal-to-noise ratio in fatigued athletes was 3 for a vagal HRV index and 1.3 for resting heart rate, and correlations with non-functional overreaching were 0.88 and 0.81. Buchheit recommends reading the two together. HRV down with resting heart rate up is the sympathetic stress pattern shared by illness, alcohol, heat and accumulated fatigue.
07Resting heart rate and long-term health
Across populations, higher resting heart rate goes with higher mortality. Zhang and colleagues (2016) pooled 46 prospective studies with 1,246,203 participants and 78,349 deaths. Each 10 bpm increase carried a relative risk of 1.09 for all-cause mortality and 1.08 for cardiovascular mortality. Against the lowest category, people at 60 to 80 bpm had a relative risk of 1.12 for all-cause death and people above 80 bpm had 1.45. All-cause risk rose in a straight line from 45 bpm upward, and cardiovascular risk became significantly higher at about 90 bpm.
Aune and colleagues (2017) pooled 87 studies and found relative risks per 10 bpm of 1.18 for heart failure, 1.14 for total cancer and 1.17 for all-cause mortality. Atrial fibrillation was the exception, with a J-shaped curve that rises at both ends.
Fitness explains some of this. In the Copenhagen Male Study, Jensen and colleagues (2013) followed 2,798 men for 16 years and adjusted for aerobic fitness measured on a bicycle ergometer. Men above 90 bpm still had a hazard ratio of 3.06 against men at 50 or below, and risk rose 16 percent per 10 bpm.
Two limits keep these numbers in proportion. They compare different people, so a 10 bpm rise in you during a bad week says nothing about your mortality. And no trial has shown that lowering an elevated resting heart rate with treatment reduces mortality, as Reimers and colleagues note, so the link may not be causal. A resting rate that stays high for months with no training, illness or medication to explain it is worth raising with a doctor.
08How Titan uses resting heart rate
Titan reads heart rate data from Apple Health and uses it in three places.
The Health card on Today shows Apple's resting heart rate, the latest reading from the past day, widening to 3 and then 7 days if nothing is found. The Vitals screen charts it against your own range.
Recovery uses sleeping heart rate instead of Apple's daytime estimate. For each night, Titan takes the heart rate samples inside your main sleep session and finds the lowest 30-minute rolling average that contains at least three readings. On a sparse night it uses the 10th percentile of all readings. The samples come from the device that recorded the sleep when it has readings, so a ring and a watch never mix within one night. If no sleep session was saved, Titan reads 10 PM to 10 AM and marks the score as a partial night. The Recovery sheet shows this value as "Sleeping heart rate" next to overnight HRV.
Your baseline is the median sleeping heart rate across the measured nights in your Recovery window, 60 nights by default, counting only nights before the one being scored. Titan measures the distance from that median in units of your own spread, the median absolute deviation scaled by 1.4826, with a floor of 1 bpm. The score is:
Recovery = 100 × sigmoid(0.25 + 1.5 × zHRV − 0.75 × zHR)
Sleeping heart rate carries half the weight of HRV, and a higher value lowers the score. A night with both inputs at baseline scores 56. Take a baseline of 50 bpm with a median absolute deviation of 1.5 bpm, so one unit of spread is about 2.2 bpm. With HRV at baseline, a 54 bpm night sits 1.8 units high and scores 25. A 47 bpm night sits 1.35 units low and scores 78. The same 4 beats would count for less in someone whose sleeping heart rate normally swings more. Each score becomes final at noon on the day you wake.
A baseline needs at least 7 measured nights covering at least 25% of the window, so 15 nights on the default window. A measured night has both overnight HRV and sleeping heart rate, and only those nights feed the baseline. Apple's resting heart rate enters Recovery only when the night has no usable data. Titan then estimates the score from your recent measured nights, and Apple's average resting heart rate between midnight and 10 AM can move that estimate 12.5 percent of the way toward the score it implies. The first HRV reading after waking can add another 12.5 percent. The Recovery score article covers the rest of the model.
Titan Age also uses resting heart rate, as your weekly average of Apple's daily values, which needs 4 days with a reading. It carries about 18 percent of the model. See Titan Age recovery.
09Reading your own number
Compare today with your own baseline before you compare it with any chart. Keep the measurement method fixed, and treat Apple's resting heart rate, a morning spot check and a sleeping value as three separate series. Average 3 or 4 days before you act on a change, and look for a cause in the list above. A rise that persists with rising respiratory rate or wrist temperature points toward illness. A rise that follows a hard block and fades with a lighter week points toward training fatigue.
10References
- Adams WM et al. (2014). Influence of body mass loss on changes in heart rate during exercise in the heat: a systematic review. Journal of Strength and Conditioning Research 28(8):2380-2389. https://doi.org/10.1519/JSC.0000000000000501
- Apple (2026). Monitor your heart rate with Apple Watch. Apple Support. https://support.apple.com/en-us/120277
- Apple (2026). Track your overnight and daytime vitals with Apple Watch. Apple Support. https://support.apple.com/en-us/120142
- Apple. restingHeartRate. HealthKit developer documentation. https://developer.apple.com/documentation/healthkit/hkquantitytypeidentifier/restingheartrate
- Aune D et al. (2017). Resting heart rate and the risk of cardiovascular disease, total cancer, and all-cause mortality - a systematic review and dose-response meta-analysis of prospective studies. Nutrition, Metabolism and Cardiovascular Diseases 27(6):504-517. https://doi.org/10.1016/j.numecd.2017.04.004
- Ben-Dov IZ et al. (2007). Blunted heart rate dip during sleep and all-cause mortality. Archives of Internal Medicine 167(19):2116-2121. https://doi.org/10.1001/archinte.167.19.2116
- Bent B et al. (2020). Investigating sources of inaccuracy in wearable optical heart rate sensors. NPJ Digital Medicine 3:18. https://doi.org/10.1038/s41746-020-0226-6
- Bosquet L et al. (2008). Is heart rate a convenient tool to monitor over-reaching? A systematic review of the literature. British Journal of Sports Medicine 42(9):709-714. https://doi.org/10.1136/bjsm.2007.042200
- Buchheit M (2014). Monitoring training status with HR measures: do all roads lead to Rome? Frontiers in Physiology 5:73. https://doi.org/10.3389/fphys.2014.00073
- Crandall CG and Wilson TE (2015). Human cardiovascular responses to passive heat stress. Comprehensive Physiology 5(1):17-43. https://doi.org/10.1002/cphy.c140015
- D'Souza A et al. (2014). Exercise training reduces resting heart rate via downregulation of the funny channel HCN4. Nature Communications 5:3775. https://doi.org/10.1038/ncomms4775
- Jensen MT et al. (2013). Elevated resting heart rate, physical fitness and all-cause mortality: a 16-year follow-up in the Copenhagen Male Study. Heart 99(12):882-887. https://doi.org/10.1136/heartjnl-2012-303375
- Meeusen R et al. (2013). Prevention, diagnosis, and treatment of the overtraining syndrome: joint consensus statement of the European College of Sport Science and the American College of Sports Medicine. Medicine and Science in Sports and Exercise 45(1):186-205. https://doi.org/10.1249/MSS.0b013e318279a10a
- Mishra T et al. (2020). Pre-symptomatic detection of COVID-19 from smartwatch data. Nature Biomedical Engineering 4(12):1208-1220. https://doi.org/10.1038/s41551-020-00640-6
- Ostchega Y et al. (2011). Resting pulse rate reference data for children, adolescents, and adults: United States, 1999-2008. National Health Statistics Reports 41. https://www.cdc.gov/nchs/data/nhsr/nhsr041.pdf
- Pietilä J et al. (2018). Acute effect of alcohol intake on cardiovascular autonomic regulation during the first hours of sleep in a large real-world sample of Finnish employees: observational study. JMIR Mental Health 5(1):e23. https://doi.org/10.2196/mental.9519
- Quer G et al. (2020). Inter- and intraindividual variability in daily resting heart rate and its associations with age, sex, sleep, BMI, and time of year: retrospective, longitudinal cohort study of 92,457 adults. PLOS ONE 15(2):e0227709. https://doi.org/10.1371/journal.pone.0227709
- Radin JM et al. (2020). Harnessing wearable device data to improve state-level real-time surveillance of influenza-like illness in the USA: a population-based study. Lancet Digital Health 2(2):e85-e93. https://doi.org/10.1016/S2589-7500(19)30222-5
- Reimers AK et al. (2018). Effects of exercise on the resting heart rate: a systematic review and meta-analysis of interventional studies. Journal of Clinical Medicine 7(12):503. https://doi.org/10.3390/jcm7120503
- Watso JC and Farquhar WB (2019). Hydration status and cardiovascular function. Nutrients 11(8):1866. https://doi.org/10.3390/nu11081866
- Zhang D et al. (2016). Resting heart rate and all-cause and cardiovascular mortality in the general population: a meta-analysis. CMAJ 188(3):E53-E63. https://doi.org/10.1503/cmaj.150535
