Resting heart rate is free, continuous and a genuine mortality predictor — and the direction that matters is the opposite of VO₂ max and grip strength: here, lower wins.
Resting heart rate is the number of beats per minute at complete rest, ideally measured on waking before standing up. A fitter cardiovascular system moves more blood per beat, so it needs fewer beats to do the same job.
Unlike VO₂ max or grip strength, this is one of the few whole-system measurements where the optimal direction is down rather than up — which is why the chart below reads the opposite way from those two.
Figures are beats per minute (bpm), measured at rest. Columns are population percentiles — the 97th means better than 97% of people that age and sex.
Unlike VO₂ max or grip strength, these bands barely move with age — resting heart rate is set far more by fitness, body composition and genetics than by the ageing process itself. That is the useful part: there is no "normal for your age" excuse here.
| Age | 97th | 75th | 50th | 25th |
|---|---|---|---|---|
| 20-29 | 55 | 62 | 71 | 78 |
| 30-39 | 54 | 62 | 72 | 78 |
| 40-49 | 56 | 63 | 73 | 79 |
| 50-59 | 57 | 64 | 74 | 80 |
| 60-69 | 56 | 62 | 73 | 78 |
| 70+ | 55 | 62 | 71 | 76 |
| Age | 97th | 75th | 50th | 25th |
|---|---|---|---|---|
| 20-29 | 60 | 67 | 76 | 81 |
| 30-39 | 59 | 65 | 74 | 79 |
| 40-49 | 60 | 66 | 75 | 80 |
| 50-59 | 61 | 67 | 77 | 82 |
| 60-69 | 60 | 67 | 75 | 81 |
| 70+ | 62 | 68 | 78 | 83 |
These are the exact values the Longevity Score calculator scores against, read from the engine rather than retyped, so the chart and your score cannot disagree.
A value at or below the 97th percentile band for your age and sex — the lowest, fittest end — scores as optimal; the 75th-to-97th band as good; the 50th-to-75th band as borderline. Band edges follow the fitness-category cut-points reported across population and wearable-aggregate datasets rather than one single study, since no single source publishes all six age bands for both sexes.
Resting heart rate predicts cardiovascular events and all-cause mortality independently of fitness, blood pressure and other conventional risk factors. Within the population range conventionally called "normal" — 60 to 100 bpm — risk rises steadily from the low end to the high end, so normal is not the same as low-risk.
A falling resting heart rate over months, at a fixed training load, is one of the clearest objective signs that aerobic training is producing real structural adaptation rather than just fatigue.
The population bands below matter less than your own trend. A sustained rise of 5 to 10 bpm above your personal baseline usually precedes illness, overtraining or accumulated sleep debt by a day or two — which makes resting heart rate a useful early-warning signal on its own, independent of where it sits on this chart.
Measure the same way every time: overnight or immediately on waking, lying still, before coffee. Conditions move the number more than most single interventions do.
Aerobic base training is the dominant lever — sustained easy-intensity work raises stroke volume and vagal tone over weeks to months. Sleep debt, alcohol, late eating and psychological stress all raise it within a day or two, which is exactly why a single reading is noisy and a weekly average is not.
Beta-blockers and thyroid status both move resting heart rate for reasons unrelated to fitness — if you are on one or suspect the other, the number is reporting something else.
See where you sit across all 8 dialsA value at or below the 97th percentile band for your age and sex — the lowest, fittest end — scores as optimal; the 75th-to-97th band as good; the 50th-to-75th band as borderline. Band edges follow the fitness-category cut-points reported across population and wearable-aggregate datasets rather than one single study, since no single source publishes all six age bands for both sexes.
What a good resting heart rate is · How to lower resting heart rate · The vascular dial
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A value at or below the 97th percentile band for your age and sex — the lowest, fittest end — scores as optimal; the 75th-to-97th band as good; the 50th-to-75th band as borderline. Band edges follow the fitness-category cut-points reported across population and wearable-aggregate datasets rather than one single study, since no single source publishes all six age bands for both sexes.
Chronological age counts birthdays. Biological age estimates how old your body appears to be functioning, based on measurable biomarkers. Two people born the same year can differ by a decade or more in vascular stiffness, insulin signalling or cardiorespiratory fitness. Biological age makes that gap explicit — and unlike your birthday, it can move in either direction.
Each biomarker you enter is scored against longevity-optimised reference ranges and grouped into one of eight dials. Every dial produces its own biological age, and those are combined using fixed weights into a single composite, then expressed as a Longevity Score from 0 to 100. The weighting reflects how strongly each system predicts healthspan: structural and vascular carry the most, hormonal the least.
No. The short form contains a subset of scoring inputs plus context-only fields, and you can leave any of them blank. It is not a recommendation to obtain tests. Missing values are excluded from the calculation — never treated as zero or as 'normal'. A dial with no scored data is dropped entirely and the remaining weights renormalise.
Some inputs can be measured without bloodwork. Blood pressure needs a home cuff and waist-to-height needs a tape measure. Wearable estimates vary; the floor-based sitting-rising test carries a fall risk and should only be attempted if safe.
Both terms describe what this tool does, and which one fits depends on what you are asking. "Anti-aging" is the term most people search, and loosely means anything aimed at slowing or reversing age-related decline — this tool fits that description if you score your dials and act on what you find. "Healthspan calculator" is the more precise term: healthspan is the number of years lived without serious chronic disease or disability, and that cannot be measured directly, so this tool scores eight systems that each function as an early-warning proxy for it. Either way, the method is the same: real biomarkers, published thresholds, no vanity-metric framing.
Several popular tools ask only about habits — exercise days, sleep hours, smoking, diet quality — and return a single precise-looking age. We looked at the research behind that approach and chose not to build it. Published studies do show real, individually-measured links between specific habits and epigenetic age acceleration, but those effect sizes come from different study populations, different DNA-methylation clocks and different measurement units. Adding them together into one number is not something the underlying research actually supports — it produces a precise-looking result built on an imprecise method. Our dials use direct physiological measurements instead: a real blood pressure reading, a real VO₂ max, a real ApoB value. Several dials score from home-measurable data alone with no quiz-guessing involved — see what you can measure without a blood test, above.
Standard reference ranges describe what is common in a general population, which now includes a great deal of metabolic dysfunction. They are tuned to flag disease, not to identify what is optimal for a long healthspan. A fasting insulin of 20 µIU/mL sits inside most labs' normal range and is strongly associated with insulin resistance. This tool uses longevity-optimised thresholds instead, so a flag here means room for optimisation — not a diagnosis.
For understanding a single result, do — a frontier chat model is genuinely good at that, often clearer than most medical sites, and it handles markers no fixed tool covers. The limitation is different from the one most people assume. A language model produces a plausible response rather than a computed one, so the same panel can score differently on different days. That is fine when exploring an idea and disqualifying when measuring change, because you cannot tell how much of a difference is you and how much is the method. Use both: a chat model to understand, a fixed instrument to track.
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