Adult Height Predictor Calculator

Estimate your child's potential adult height using the mid-parental height method, a commonly cited approach based on average of both parents' heights with sex-specific adjustment.

📏 Pediatric Health📐 Predicted Height = Mid-Parental Height ± 6.5cm🏥 Health
Child's sex
Father's height (cm)
Mother's height (cm)
Please enter valid values.

Formula & Reference

VariableSymbolFormulaUnits
Adult Height Predictor CalculatorPredicted Height = Mid-Parental Height ± 6.5cmcm (with typical ±8.5cm range)

Step-by-Step Examples

Example 1
Predicting Son's Height

Father 178cm, mother 165cm, predicting for a boy.

  • Mid-parental height = (178+165)/2 = 171.5cm
  • Boy adjustment: +6.5cm = 178cm predicted
  • Typical range: 169.5-186.5cm
✓ Predicted: 178cm (range 169.5-186.5cm)
Example 2
Predicting Daughter's Height

Father 180cm, mother 168cm, predicting for a girl.

  • Mid-parental height = (180+168)/2 = 174cm
  • Girl adjustment: -6.5cm = 167.5cm predicted
  • Typical range: 159-176cm
✓ Predicted: 167.5cm (range 159-176cm)
Example 3
Wide Prediction Range Illustration

Same parents, illustrating the inherent uncertainty.

  • Even with the same calculated central prediction
  • The ±8.5cm range spans about 17cm total possible variation
  • This reflects genuine biological variability beyond just parental height
✓ ±8.5cm range reflects significant individual variation

Real-World Applications

Common Mistakes to Avoid

⚠️
Treating this prediction as precise or guaranteed

This method has a documented ±8.5cm range of typical variation — actual adult height can meaningfully differ from this central prediction due to genetic and other factors beyond simple parental height averaging.

⚠️
Using mid-parental height as the only prediction method

Bone age-based methods (like Bayley-Pinneau) often provide more refined predictions when clinically relevant, incorporating actual current growth data rather than just parental height.

⚠️
Forgetting that environmental factors also influence final height

Nutrition, overall health, chronic illness, and other environmental factors during childhood can influence whether someone reaches their full genetic height potential.

Frequently Asked Questions

How accurate is the mid-parental height method?
It provides a reasonable population-based central estimate, but the documented range of typical variation is fairly wide (±8.5cm), reflecting the genuine complexity of height genetics beyond simple parental averaging.
Why is there a sex-specific adjustment in the formula?
On average, males tend to be taller than females by a population-level difference, so adding ~6.5cm for boys and subtracting ~6.5cm for girls from the mid-parental average accounts for this typical sex difference.
Are there more accurate height prediction methods?
Yes — methods incorporating bone age assessment (like Bayley-Pinneau tables) often provide more individualized predictions when there's clinical reason to assess height trajectory more precisely.
Can environmental factors override genetic height potential?
Significant chronic illness, severe malnutrition, or other major health factors during childhood can prevent someone from reaching their full genetic height potential, though in generally healthy children, genetics is the predominant factor.
Is this calculator useful for identifying growth problems?
It can provide one data point for context, but growth concerns are better assessed through growth velocity tracking and percentile patterns over time, evaluated by a pediatrician with full clinical context.

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