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Heart-rate training zones

Estimate age-based training-zone ranges using a common maximum-heart-rate formula. Calculate a detailed baseline estimate from your inputs.

Five planning modes, one calculator topic

These modes share an underlying model, not five unrelated formulas.

Planning mode: Calculate a detailed baseline estimate from your inputs. Adjust the inputs to fit your situation. Related tools share an underlying model, with distinct calculation, reverse-solve, comparison and sensitivity functions.

Your numbers

years
bpm
%
%
bpm

Estimated target heart-rate range

124–148 bpm

Estimated maximum: 184 bpm.

Estimated max heart rate
184 bpm
Resting heart rate
65 bpm
Entered zone
50–70% reserve

Assumptions to check

  • Population estimate only; consult a health professional before changing exercise for medical reasons.

How this is calculated

Heart-rate reserve = estimated maximum − resting rate; zone = resting rate + intensity × reserve.
  1. 1Apply selected intensity to estimated heart-rate reserve.

Assumptions and limits

  • Population-level estimate, not a medical test or exercise prescription. Seek clinical advice for heart concerns.
  • Population estimate only; consult a health professional before changing exercise for medical reasons.

Practical guide

Understanding heart-rate training zones

Everyday editorial team · GEOINNOVATION CO., LTD · Published · Updated

What this calculation is for

A heart-rate-zone estimate turns age and resting-heart-rate assumptions into broad exercise reference ranges. Formula estimates vary between people and cannot replace a measured assessment or medical advice.

How the method works

The method identified by the calculator estimates a maximum or reserve and applies the entered intensity percentages. Resting rate and the selected equation influence the range. The displayed model uses: Estimated max heart rate = 208 − 0.7 × age; Karvonen range = resting rate + intensity × (max − resting).

A worked example

For an illustrative heart-rate training zones scenario, use Age: 35 years; Resting heart rate: 65 bpm; Lower intensity: 50 %; Upper intensity: 70 %; Maximum-heart-rate override (optional): 0 bpm. The modeled estimated target heart-rate range is 124–148 bpm. These are example assumptions, not current prices, official benefit amounts or personalized advice.

Assumptions and real-world differences

Medication, health conditions, heat, stress and measurement error can change heart rate. Do not use a target zone to disregard symptoms or assume medical clearance for exercise. Population-level estimate, not a medical test or exercise prescription. Seek clinical advice for heart concerns.

Using the heart-rate training zones estimate

Start with the assumptions that match your situation, then read the headline together with the detailed breakdown. This tool’s baseline calculation uses age, resting heart rate, lower intensity, upper intensity, maximum-heart-rate override (optional). Changing an input changes only the modeled consequences of that input; it does not retrieve a quote or validate your eligibility.

Reproduce this tool’s example

These fixed example inputs are independent of edits you make above. Enter them in this tool to reproduce the result, then replace them with your own assumptions.

Age
35 years
Resting heart rate
65 bpm
Lower intensity
50 %
Upper intensity
70 %
Maximum-heart-rate override (optional)
0 bpm

Estimated target heart-rate range: 124–148 bpm

Estimated maximum: 184 bpm.

  • Estimated max heart rate: 184 bpm
  • Resting heart rate: 65 bpm
  • Entered zone: 50–70% reserve

Frequently asked questions

Does an estimated maximum equal my measured maximum?
No. Age-based equations describe population tendencies and can differ considerably from an individual test.
Which inputs should I check before using this heart-rate training zones estimate?
Check age, resting heart rate, lower intensity, upper intensity, maximum-heart-rate override (optional). Match each field’s unit and time period, then compare the detailed rows rather than treating the headline alone as the complete answer.
Do the example defaults represent a recommended plan?
No. Defaults make the method inspectable. Replace them with relevant assumptions and test a less favorable case before making a decision.

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