Weight Percentile For Children Calculator
Work out weight percentile for children instantly with clear inputs, formula shown and shareable results.
About Weight Percentile For Children Calculator
The weight is turned into a z-score against the published mean and standard deviation for the child's age and sex, and the normal curve converts that into a centile. A single weight means little on its own; the centile places it against a reference population, and repeated centiles show whether growth is tracking.
Formulas
Z-score
z = (weight - reference mean) / reference standard deviation
Centile
centile = normal cumulative distribution of z x 100
Worked example
With the default values below, Weight Percentile For Children Calculator returns Weight percentile of 63.1%. Change any input above and every figure here is recalculated in your browser.
Inputs used
- Child's weightminimum 1 kg
- 22 kg
- Reference mean weight for ageminimum 1 kg
- 21 kg
- Reference standard deviationminimum 0.1 kg
- 3 kg
Results
- Weight percentile
- 63.1%
- Z-score against the reference
- 0.333
- Difference from the reference mean
- 1.00 kg
- Interpretation
- Within the typical range
Step by step
- 1Values used
- 2Z-score
- 3Centile
- 4Weight percentile= 63.1
- 5Z-score against the reference= 0.333
- 6Difference from the reference mean= 1.00 kg
- 7Interpretation= Within the typical range
Assumptions and limits
- The result is derived only from the 3 inputs listed above. Anything not among them is not part of the calculation.
- In particular, this calculator does not take inflation, tax, fees or charges or compounding frequency into account.
- Figures are rounded for display to 3 decimal places, so totals built from several rounded parts can differ slightly from the unrounded arithmetic.
How these calculators are built and tested is described on the Methodology page. If a figure looks wrong, please report it.
Frequently Asked Questions
How is the Weight Percentile For Children figure worked out?
z = (weight - reference mean) / reference standard deviation. The weight is turned into a z-score against the published mean and standard deviation for the child's age and sex, and the normal curve converts that into a centile.
Why does this matter?
A single weight means little on its own; the centile places it against a reference population, and repeated centiles show whether growth is tracking.
What do I need to enter?
Enter child's weight, reference mean weight for age, reference standard deviation. The defaults shown are a realistic worked example — swap in your own figures to get a result you can use.
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