Pediatric BMI Percentile Calculator
Calculate BMI-for-age percentile for children ages 2-20. Classify weight status using CDC growth chart categories: underweight, normal, overweight, and obese.
Calculate height-for-age and weight-for-age percentiles for children 2-20 using CDC growth reference data. Track growth patterns and identify potential concerns.
| Age | Median Ht (cm) | Median Wt (kg) |
|---|---|---|
| 2 | 86.4 | 12.1 |
| 4 | 101.6 | 16.1 |
| 6 | 115.0 | 20.2 |
| 8 โ | 127.0 | 25.0 |
| 10 | 138.6 | 31.9 |
| 12 | 151.2 | 40.5 |
| 14 | 159.8 | 48.3 |
| 16 | 162.5 | 53.5 |
| 18 | 163.2 | 56.7 |
| 20 | 163.3 | 58.9 |
| Percentile | Interpretation | Action |
|---|---|---|
| < 3rd | Very Low | Evaluate โ may indicate growth disorder, malnutrition, or chronic illness |
| 3rdโ5th | Low | Monitor closely; evaluate if falling or below genetic potential |
| 5thโ85th | Normal Range | No concern if consistent; continue routine monitoring |
| 85thโ95th | High | Normal for many children; context matters (family patterns) |
| > 95th | Very High | Evaluate if new or accompanied by other concerns |
The Growth Chart Percentile Calculator estimates height-for-age and weight-for-age percentiles for children ages 2โ20 using CDC growth reference data. Pediatricians use these percentiles to monitor growth patterns, detect potential growth disorders, and identify nutritional concerns.
A child at the 50th percentile for height has a stature equal to the median for their age and sex. Growth percentiles are most useful when tracked over time โ a child consistently at the 25th percentile is likely growing normally, while a child dropping from the 75th to the 25th percentile may need evaluation.
This calculator computes approximate percentiles using the LMS (Lambda-Mu-Sigma) method from the CDC 2000 growth reference. For the most precise assessment, growth measurements should be plotted on full growth charts by a healthcare provider.
Growth monitoring is a routine part of pediatric care because height and weight trends can flag whether a child is tracking consistently over time. This calculator is best used for rough between-visit percentile checks, not as a replacement for full chart review by a clinician.
Using the CDC 2000 LMS reference:
z-score = [(measurement / M)แดธ โ 1] / (L ร S)
Percentile = ฮฆ(z) ร 100
Where L, M, S are age- and sex-specific parameters for height-for-age and weight-for-age separately.
Key percentiles:
โข < 3rd: Very short/light (evaluate)
โข 3rdโ5th: Short/light (monitor)
โข 5thโ95th: Normal range
โข > 95th: Very tall/heavy (evaluate)
โข > 97th: Significantly above averageResult: Height: ~55th percentile, Weight: ~50th percentile
For an 8-year-old girl, a height of 128 cm is near the 55th percentile (median height is approximately 127 cm), and a weight of 26 kg is near the 50th percentile (median weight is approximately 26 kg). Both measurements are solidly in the normal range, indicating typical growth for her age.
Growth percentiles describe where a child falls relative to a reference population. The 50th percentile represents the median โ half of children are above, half below. Being at the 10th percentile does not mean a child is unhealthy; it means 10% of same-age, same-sex children in the reference are shorter or lighter. The pattern over time matters far more than any single measurement.
While this calculator estimates static percentiles, growth velocity (cm/year or kg/year) is equally important. Normal growth velocity varies by age: infants grow 23โ27 cm in the first year, children grow 5โ7 cm/year between ages 4โ10, and the pubertal growth spurt adds 8โ12 cm/year. A growth velocity below the 25th percentile for age may indicate a growth disorder.
Mid-parental height provides a rough target range. For boys: (mother's height + father's height + 13 cm) / 2 ยฑ 8.5 cm. For girls: (mother's height + father's height โ 13 cm) / 2 ยฑ 8.5 cm. If a child's projected adult height falls outside this range, endocrine evaluation may be warranted.
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This worksheet uses the CDC 2000 LMS growth-reference method to turn height-for-age and weight-for-age measurements into approximate percentiles for children ages 2 through 20. It applies the age- and sex-specific L, M, and S parameters to estimate a z-score and then converts that z-score into a percentile for each measurement.
The result is an approximate between-visit growth check, not a substitute for longitudinal chart review. Pediatric growth assessment still depends on repeated measurements, measurement technique, pubertal timing, family height pattern, and the rest of the clinical picture.
The 5th through 95th percentiles are generally considered within the normal range, though children can be healthy at any percentile. What matters most is the child's individual growth pattern over time. A consistently short child whose parents are short may be perfectly healthy at the 5th percentile.
A drop of one major percentile line can be normal, especially during the first 2โ3 years when children settle to their genetic potential. However, a drop crossing two or more major percentile lines should be evaluated. Medical causes include celiac disease, growth hormone deficiency, hypothyroidism, and chronic illness.
Not necessarily. Weight-for-age alone does not indicate overweight or obesity. A child can be at the 90th percentile for weight and the 95th for height and have a perfectly healthy BMI. BMI-for-age percentile is the recommended screening tool for childhood overweight and obesity.
A growth reference describes how children did grow in a particular population (CDC charts). A growth standard describes how children should grow under optimal conditions (WHO charts). The CDC 2000 charts are a reference based on how American children grew; the WHO 2006 charts are a standard based on breastfed children across multiple countries.
Red flags include height below the 3rd percentile, height significantly below mid-parental height target, growth velocity below 5 cm/year after age 4, and crossing downward across percentile lines. A bone age X-ray, IGF-1 level, and thyroid function tests are common initial evaluations.
Yes. Boys and girls have different growth patterns. Before puberty, they are similar in size, but boys enter puberty later and have a longer growth period, ultimately reaching taller adult heights on average. Sex-specific charts ensure accurate percentile assignment.
Calculate BMI-for-age percentile for children ages 2-20. Classify weight status using CDC growth chart categories: underweight, normal, overweight, and obese.
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