Child Height Prediction Calculator

Use this Child Height Prediction Calculator to estimate your child's adult height using three evidence-based methods: Mid-Parental Height (genetics), the Khamis-Roche method (current measurements), and the Double-at-Two rule. Results include a predicted height range and a side-by-side method comparison.

Child Height Prediction Calculator

Mid-Parental Height · Khamis-Roche · Double-at-Two

Prediction Method
Biological father's adult height
Biological mother's adult height
Ages 2–17 years
Without shoes, standing erect
Light clothing, no shoes
Khamis-Roche uses the child's current age, height, weight, and parental heights for a more precise estimate than MPH alone.
Measured at the child's 2nd birthday (± 3 months)
Boys: adult height ≈ height at 2 × 2. Girls: adult height ≈ height at 2 × 2, with a small sex adjustment. Best used as a rough cross-check alongside other methods.
Predicted Adult Height
Low Estimate
−5 cm (−2 in)
Prediction
mid-point
High Estimate
+5 cm (+2 in)
Predicted Height Range
Predicted: —
Mid-Parental
genetics only
Khamis-Roche
+ current measurements
Double-at-Two
age-2 height × 2
Calculation Details
Method used
Child sex
Predicted adult height
Predicted range (±5 cm)
Mid-parental height
Important: Height prediction formulas estimate the most likely adult height based on genetic and current-measurement inputs, but cannot account for nutrition, health conditions, sleep quality, physical activity, or individual variation in puberty timing. The ±5 cm range reflects typical method accuracy. Actual adult height may fall outside this range. These tools are informational — not medical predictions.

The Three Prediction Methods Explained

1. Mid-Parental Height (MPH)

The most widely used and simplest method, recommended by the American Academy of Pediatrics and used routinely in pediatric clinics. It estimates a child's genetic height potential from parental heights alone.

For boys: MPH = (Father's height + Mother's height + 13) ÷ 2
For girls: MPH = (Father's height + Mother's height − 13) ÷ 2
Heights in cm. The 13 cm constant reflects the average male-female height difference. Predicted range: MPH ± 10 cm covers ~95% of children with those parental heights.

2. Khamis-Roche Method

The most accurate non-radiological method for children aged 4–17, published in Pediatrics in 1994. It incorporates the child's current age, height, weight, and both parental heights into a regression model, reducing prediction error to approximately ±2.1 inches (5.3 cm) for boys and ±1.7 inches (4.2 cm) for girls — significantly more precise than MPH alone.

Boys: Adult height = a₀ + a₁(child ht) + a₂(child wt) + a₃(midparent ht)
Girls: Adult height = b₀ + b₁(child ht) + b₂(child wt) + b₃(midparent ht)
Regression coefficients differ by age group (2-year bands). All values in inches for original formula; this calculator converts to cm internally.

3. Double-at-Two Rule

A simple folk heuristic with reasonable population-level accuracy: a child's height at age 2 is approximately half their adult height. More precise versions apply a small sex adjustment — boys' adult height is approximately 2× height at 2; girls' adult height is approximately 2× height at 2 minus 2.5 cm, reflecting the earlier female growth plateau.

Boys: Adult height ≈ Height at age 2 × 2
Girls: Adult height ≈ Height at age 2 × 2 − 2.5 cm
Accuracy: ±8–10 cm. Best used as a quick cross-check, not a primary prediction. Most reliable for children with heights near the median at age 2.

Which method should you use? If you have the child's current measurements and both parents' heights, the Khamis-Roche method gives the most accurate prediction. If you only have parental heights, use Mid-Parental Height. If you have a pediatric measurement from around age 2, use Double-at-Two as a cross-check. All three methods give statistical estimates — not guarantees.

Method Accuracy Comparison

MethodInputs RequiredError (Boys)Error (Girls)Best Age
Mid-Parental HeightParent heights only±5 cm±5 cmAny
Khamis-RocheAge + ht + wt + parents±5.3 cm±4.2 cm4–17 yrs
Double-at-TwoHeight at age 2±8–10 cm±8–10 cmAge 2 only
Bone Age (Greulich-Pyle)X-ray required±2–3 cm±2–3 cmAny

Bone age assessment using hand X-ray is the most accurate non-genetic method and is performed by pediatric endocrinologists when precise height prediction is clinically important.

Factors That Affect Adult Height Beyond Genetics

Mid-parental height and other formula-based methods predict the genetic ceiling — the height a child would reach under ideal conditions. Several modifiable and non-modifiable factors influence whether a child achieves that ceiling.

Nutrition (largest modifiable factor). Chronic deficits in protein, calcium, vitamin D, zinc, and iron are consistently linked to growth faltering. Studies comparing food-secure and food-insecure populations find 2–4 cm differences in adult height even after controlling for genetics. Children in nutritional deficit can fall 2–8 cm short of their genetic potential.
Sleep quality. Growth hormone is released primarily during slow-wave sleep — roughly 60–90 minutes after sleep onset. Children who consistently get inadequate sleep or have disrupted sleep architecture (sleep apnea, frequent waking) may have reduced growth hormone output over time. Adequate sleep duration for age is 10–14 hours for toddlers, 9–12 hours for school-age children, and 8–10 hours for teens.
Physical activity. Weight-bearing and resistance activities stimulate bone growth and growth hormone release. Moderate physical activity supports growth; extreme overtraining (elite gymnastics, endurance sports) before puberty can suppress it by increasing cortisol and reducing energy availability.
Chronic illness. Conditions including celiac disease, inflammatory bowel disease, hypothyroidism, and growth hormone deficiency can significantly impair growth — sometimes as the presenting symptom. If a child is falling below the 3rd percentile or crossing percentile lines downward, a pediatric workup is warranted regardless of parental heights.
Pubertal timing. Early puberty (precocious puberty) can temporarily accelerate height gain but result in earlier growth plate closure and a shorter final adult height. Late puberty (constitutional growth delay) produces a period of appearing shorter than peers before a later growth spurt catches up — and typically results in normal adult height.
Socioeconomic environment. Beyond nutrition, socioeconomic factors influence stress levels, sleep quality, activity, and access to healthcare. Research consistently shows a measurable height advantage for children raised in higher-income environments, even after adjusting for parental heights — reflecting the cumulative effect of these environmental inputs over the growth years.

Frequently Asked Questions

How accurate is the mid-parental height formula?

The mid-parental height formula predicts adult height with an error of approximately ±5 cm (±2 inches) for about 68% of children — meaning about two-thirds of children will fall within 5 cm of the prediction. For 95% of children, the actual adult height falls within ±10 cm of the predicted value. The formula is most accurate when both parents' heights are measured accurately (self-reported heights tend to be slightly inflated, which introduces systematic error into the prediction).

Can I improve my child's predicted adult height?

The mid-parental height prediction represents the genetic ceiling — the height achievable under ideal conditions. You cannot exceed this ceiling through lifestyle changes, but many children fall short of it due to nutritional deficits, inadequate sleep, chronic illness, or extreme physical stress. Ensuring adequate protein, calcium, vitamin D, and zinc intake; consistent sleep of appropriate duration; and routine pediatric monitoring are the highest-leverage interventions for helping a child reach their genetic potential.

At what age do children stop growing?

Growth plate closure typically occurs by age 16–18 in girls and 18–21 in boys, though timing varies with individual pubertal development. Girls usually reach adult height 2–3 years after their first menstrual period. Boys continue to grow modestly until their early twenties in many cases, though the majority of height gain is complete by age 17–18. Children with constitutional growth delay may grow until slightly later than typical.

Why might my child be shorter or taller than predicted?

Height prediction formulas estimate the most probable outcome based on available inputs, but they cannot capture individual variation in pubertal timing, growth plate sensitivity to hormones, genetic variation beyond midparent height (including grandparental heights and other relatives), or the cumulative effect of nutritional and environmental factors across the entire growth period. A child who is significantly shorter than predicted consistently deserves a pediatric evaluation — not because the formula is correct and the child is wrong, but because understanding why can reveal modifiable factors or treatable conditions.

Is the Khamis-Roche method better than mid-parental height?

For children aged 4–17 where current measurements are available, yes — the Khamis-Roche method reduces prediction error by roughly 20–30% compared to mid-parental height alone. It does this by incorporating the child's current height trajectory and weight into the regression model, which captures both the genetic potential and how well the child is currently tracking toward it. However, the difference in absolute terms is modest — roughly 1–2 cm of additional precision — so for most practical purposes both methods are useful and complementary.

References

1
Predicting Adult Stature Without Using Skeletal Age — the Khamis-Roche Method Khamis HJ, Roche AF. Pediatrics. 1994;94(4):504–507 pubmed.ncbi.nlm.nih.gov/7936860
2
Mid-parental height as a predictor of final height — a systematic analysis Luo ZC et al. Acta Paediatrica. 1998;87(1):50–54 pubmed.ncbi.nlm.nih.gov/9510449
3
CDC Growth Charts for the United States — Methods and Development Kuczmarski RJ et al. Vital and Health Statistics. Series 11, No. 246. CDC, 2000 cdc.gov/growthcharts/cdc-growth-charts.htm
4
Genetic and environmental contributions to height — a meta-analysis of twin studies Silventoinen K et al. Twin Research. 2003;6(5):399–408 pubmed.ncbi.nlm.nih.gov/14624724
5
Nutrition and growth — reassessing the evidence for linking protein intake to final height Victora CG et al. Lancet. 2008;371(9609):340–357 pubmed.ncbi.nlm.nih.gov/18206226
6
Growth hormone secretion during sleep — relation to slow-wave sleep Van Cauter E et al. Journal of Clinical Investigation. 2000;105(6):745–752 pubmed.ncbi.nlm.nih.gov/10727443

Ethan builds the interactive health calculators on Height Growth Blog. Based in Denver, Colorado, he combines a software engineering background with a focus on evidence-based health tech, turning dense clinical guidelines — from CDC growth charts to NIH/IOM dietary references — into tools parents and teens can use in under a minute. Every calculator on the site, from BMI Percentile to Body Fat and Calcium Intake, is built directly from primary sources (NIH, AAP, CDC, Mayo Clinic) and cross-checked against peer-reviewed studies before launch.

Height Growth Blog – Maximize Height for Kids, Teens & Young Adults
Logo
Enable registration in settings - general
Shopping cart