Height Weight Growth Calculator

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Height and Weight Growth Calculator

Monitor your child's growth trajectory and understand their development in relation to standard percentiles.

Growth Parameters

Enter child's age in years.
Male Female Select child's gender.
Enter height in centimeters (cm).
Enter weight in kilograms (kg).

Your Child's Growth Metrics

BMI
Height Age
Weight Age
Formula Used: Growth percentiles are determined by comparing your child's measurements to reference data for their age and gender. BMI is calculated as weight (kg) / height (m)^2. Height and Weight Age are derived from CDC/WHO growth charts.

Growth Chart Comparison

Comparison of your child's height and BMI percentiles against typical growth curves.

Height and Weight Percentile Data
Age (Years) Gender Typical Height (cm) Typical Weight (kg) Your Height (cm) Your Weight (kg) Height Percentile Weight Percentile BMI

What is a Height and Weight Growth Calculator?

A height and weight growth calculator is a tool designed to help parents, guardians, and healthcare providers assess a child's physical development. It compares a child's current height and weight against established growth charts or reference data, typically from organizations like the World Health Organization (WHO) or the Centers for Disease Control and Prevention (CDC). The primary output is a percentile rank, which indicates how a child's measurement compares to other children of the same age and gender. For example, a height percentile of 75 means the child is taller than 75% of children their age and gender, and shorter than 25%. This {primary_keyword} helps in identifying whether a child's growth is within the expected range, showing consistent progress, or potentially deviating significantly, which might warrant further medical attention. The {primary_keyword} also often calculates Body Mass Index (BMI), a common indicator of body fatness.

Who should use it?

  • Parents and guardians concerned about their child's growth rate.
  • Pediatricians and family doctors for routine check-ups and early detection of growth issues.
  • Nannies and childcare providers monitoring child development.
  • Individuals seeking to understand standard growth patterns for educational or informational purposes.

Common misconceptions about growth:

  • "My child is tall, so they are healthy." Height alone doesn't guarantee health. Weight and growth patterns are equally important. A tall child who is underweight or has a rapid, inconsistent growth spurt might have underlying issues.
  • "My child is short, so they are unhealthy." Many healthy children are naturally shorter than average. Genetics play a significant role. The key is consistent growth along their percentile curve.
  • "Growth charts are rigid rules." Growth charts are references, not rigid expectations. Children grow at their own pace, and fluctuations are normal. Significant or persistent deviations are what raise concerns. Using a {primary_keyword} is about tracking trends, not hitting exact numbers.

Height and Weight Growth Calculator Formula and Mathematical Explanation

The core of a height and weight growth calculator involves comparing a child's measurements to normative data. While the exact mathematical formulas used to generate percentile curves are complex, involving statistical modeling of large datasets, the principles behind the output are understandable.

Key Calculations:

  1. Body Mass Index (BMI): This is a standard calculation used for all age groups, but interpreted differently for children.
    Formula: BMI = Weight (kg) / [Height (m)]^2
    Where Height is converted from centimeters to meters (divide cm by 100).
  2. Percentile Calculation: This is the most complex part, typically relying on pre-computed tables or specialized software that implements algorithms based on WHO or CDC growth standards. These standards often use the LMS (Lambda, Mu, Sigma) method.
    LMS Method: This method models the 3rd, 5th, 50th (median), 95th, and 97th percentiles using three curves:
    • L (Lambda): Skewness factor, representing the shape of the distribution.
    • M (Mu): Median, representing the median (50th percentile) value.
    • S (Sigma): Coefficient of variation, representing the spread or variability.
    For a given age, gender, and measurement (height or weight), the calculator interpolates or uses lookup tables based on these LMS parameters to find the corresponding percentile. The formula to calculate the Z-score (a standardized measure of how many standard deviations a value is from the mean) is often used as an intermediate step:
    Z-score = [(Measurement / M)^L – 1] / (L * S)
    Then, the percentile is derived from the Z-score using standard normal distribution tables or functions.
  3. Height Age and Weight Age: These concepts estimate the age at which a child's height or weight measurement would be considered "typical" (i.e., at the 50th percentile).
    Example: If a 7-year-old child measures 120 cm, and 120 cm is the 50th percentile height for 9-year-olds, then their "Height Age" is 9 years. Similarly for weight.

Variables Table:

Variable Meaning Unit Typical Range (for calculator inputs)
Age Child's age Years 0.1 – 18
Gender Child's biological sex Categorical (Male/Female) Male, Female
Current Height Child's measured height Centimeters (cm) 10 – 200
Current Weight Child's measured weight Kilograms (kg) 1 – 150
BMI Body Mass Index kg/m² Calculated (typically 5 – 30+ for children)
Height Percentile Child's height rank among peers % 0 – 100
Weight Percentile Child's weight rank among peers % 0 – 100
Height Age Age at which current height is 50th percentile Years Calculated
Weight Age Age at which current weight is 50th percentile Years Calculated

Practical Examples (Real-World Use Cases)

Example 1: Monitoring a Toddler's Growth

Scenario: Sarah is a concerned mother of her 2-year-old son, Leo. Leo is 85 cm tall and weighs 12 kg. She wants to ensure he is growing well.

Inputs:

  • Age: 2 years
  • Gender: Male
  • Current Height: 85 cm
  • Current Weight: 12 kg

Calculator Output (Hypothetical):

  • Growth Percentile (Height): 50th percentile
  • BMI: 16.47 kg/m²
  • Height Age: 2 years
  • Weight Age: 2 years
  • BMI Percentile: 60th percentile

Interpretation: Leo's height and weight are right on track with the average for his age and gender (50th percentile for height, 60th for weight). His BMI is also within a healthy range for his age. This indicates healthy and proportional growth.

Example 2: Assessing a School-Aged Child's Development

Scenario: David is 8 years old, measures 130 cm, and weighs 25 kg. His parents are slightly concerned because he seems leaner than some of his classmates.

Inputs:

  • Age: 8 years
  • Gender: Male
  • Current Height: 130 cm
  • Current Weight: 25 kg

Calculator Output (Hypothetical):

  • Growth Percentile (Height): 75th percentile
  • BMI: 14.77 kg/m²
  • Height Age: 8.5 years
  • Weight Age: 7 years
  • BMI Percentile: 30th percentile

Interpretation: David is relatively tall for his age (75th percentile). However, his weight is closer to the 40th percentile. This combination results in a lower BMI percentile (30th). While not underweight, his 'Weight Age' being lower than his chronological age suggests he is leaner. This might be influenced by genetics, activity level, or diet. The {primary_keyword} shows he's growing, but the difference between height and weight percentiles warrants observing his energy intake and ensuring he maintains a healthy, balanced diet. It highlights that a {primary_keyword} provides nuanced insights beyond simple height or weight.

How to Use This Height and Weight Growth Calculator

Using this {primary_keyword} is straightforward and provides valuable insights into your child's development. Follow these simple steps:

  1. Gather Accurate Measurements: Ensure you have the most recent and accurate measurements for your child's height (in centimeters) and weight (in kilograms). Measure height without shoes, standing straight against a wall. Weigh your child with minimal clothing for accuracy.
  2. Enter Child's Age and Gender: Input the child's precise age in years. Select their gender (Male or Female).
  3. Input Height and Weight: Carefully enter the measured height in the "Current Height (cm)" field and the weight in the "Current Weight (kg)" field.
  4. Calculate: Click the "Calculate Growth" button. The calculator will instantly process the data.
  5. Review Results:
    • Main Result (Growth Percentile): This is the primary indicator, showing where your child's height falls compared to others of the same age and gender. A higher percentile means taller, a lower percentile means shorter.
    • BMI: Your child's Body Mass Index is displayed, along with its corresponding percentile, indicating their weight status relative to height.
    • Height Age & Weight Age: These values offer a unique perspective, showing the age at which your child's current height or weight would be considered average.
    • Growth Table: A detailed table provides comparative data, including typical heights and weights for the specified age and gender, your child's actual measurements, and the calculated percentiles.
    • Growth Chart: A visual representation compares your child's height and BMI percentiles against standard growth curves, making trends easier to see.
  6. Interpret and Decide: Use the results to understand your child's growth pattern. Consistent tracking over time using this {primary_keyword} is more valuable than a single measurement. Consult your pediatrician if you have concerns about growth that appears significantly outside the typical range or is not following a consistent pattern.

Decision-Making Guidance:

  • Consistent Growth: If your child consistently follows a specific percentile curve (e.g., always around the 50th percentile for height and weight), this typically indicates healthy, proportional growth.
  • Significant Shifts: A sudden, large jump or drop in percentile, or moving between very different percentiles (e.g., from 25th to 75th), should be discussed with a healthcare provider.
  • Disproportionate Growth: If height and weight percentiles are very different (e.g., height at 90th percentile but weight at 20th), it might suggest issues with weight gain or body composition that warrant medical advice.
  • Low BMI Percentile: Consistently low BMI percentiles (below the 5th percentile) might indicate underweight status and require assessment for nutritional intake.
  • High BMI Percentile: Consistently high BMI percentiles (above the 85th percentile for overweight, 95th for obesity) suggest a need to address weight management strategies with a doctor or dietitian.

Key Factors That Affect Height and Weight Growth Results

Several factors influence a child's growth trajectory and the results obtained from a height and weight growth calculator. Understanding these can provide context to the percentile rankings.

  1. Genetics: This is perhaps the most significant factor. Children tend to inherit growth potential from their parents. If parents are tall, their children are likely to be taller than average, and vice versa. A {primary_keyword} reflects this by showing where a child falls within the spectrum of genetically diverse populations.
  2. Nutrition: Adequate and balanced nutrition is crucial for optimal growth. Deficiencies in calories, protein, vitamins (like Vitamin D), and minerals (like calcium and zinc) can stunt growth or lead to low weight. Conversely, excessive intake, particularly of processed foods high in sugar and unhealthy fats, can contribute to unhealthy weight gain and elevated BMI percentiles.
  3. Hormones: Growth hormone, thyroid hormones, and sex hormones play critical roles in regulating growth. Imbalances or deficiencies in these hormones can significantly impact a child's final height and overall growth pattern. Conditions like growth hormone deficiency or hypothyroidism can lead to slower growth rates.
  4. Chronic Illnesses: Many chronic health conditions, including gastrointestinal disorders (affecting nutrient absorption), kidney disease, heart conditions, and genetic syndromes (like Down syndrome or Turner syndrome), can affect a child's growth rate and body composition, leading to deviations in height and weight percentiles.
  5. Sleep Quality and Quantity: Growth hormone is primarily released during deep sleep. Insufficient or poor-quality sleep can potentially impact growth hormone secretion and, consequently, growth velocity.
  6. Physical Activity: Regular physical activity is essential for overall health, muscle development, and bone density. While extreme endurance exercise can sometimes suppress appetite, moderate activity generally supports healthy growth and helps maintain a healthy weight and BMI. It contributes to bone lengthening and muscle mass development.
  7. Prenatal Factors: The environment in the womb, including maternal nutrition, exposure to toxins, and placental function, can influence birth weight and early growth patterns, setting a foundation that affects later measurements.
  8. Socioeconomic Factors: Access to quality healthcare, nutritious food, and safe living environments can be influenced by socioeconomic status, indirectly affecting a child's growth and development potential.

Frequently Asked Questions (FAQ)

What is the most important number to look at on a height and weight growth calculator?

While all metrics are useful, the **percentile rank** for both height and weight is generally the most important. It tells you how your child compares to their peers. Consistency in following a percentile curve is often more indicative of healthy growth than the specific percentile number itself. The BMI percentile is also crucial for assessing weight status.

My child is in the 90th percentile for height. Does this mean they are overweight?

Not necessarily. The 90th percentile for height means your child is taller than 90% of children their age and gender. To determine if they are overweight, you need to look at the **BMI percentile**. If their BMI percentile is also high (above 85th for overweight, 95th for obesity), then they may be overweight. If their BMI percentile is within a healthy range (typically 5th to 85th), their height doesn't indicate being overweight.

Can genetics make my child fall outside the 'average' percentiles?

Absolutely. Genetics plays a significant role. If both parents are tall, their child may consistently fall in the higher percentiles for height, which is perfectly normal for their family. Similarly, if parents are shorter, the child might be in lower percentiles. The key is consistent growth along their genetically influenced curve.

How often should I use a height and weight growth calculator?

For infants and toddlers, measurements are typically taken at every doctor's visit (e.g., every 3-6 months). For older children, annual check-ups are common. Using the calculator around these times, or whenever new measurements are available, allows for monitoring growth trends over time.

What does "Height Age" and "Weight Age" mean?

"Height Age" is the age at which your child's current height would be considered the 50th percentile (average). For example, if your 5-year-old has a Height Age of 7, it means they are as tall as the average 7-year-old. Similarly, "Weight Age" relates their current weight to the average weight for a given age. These help gauge proportionality.

Is a very slow growth rate always a problem?

Not always. Some children have a slower but consistent growth rate. This is usually only a concern if the growth rate significantly slows down, stalls completely, or if the child falls below the 3rd-5th percentile and stays there without catching up, or if there are other associated symptoms. It's best discussed with a pediatrician.

Can puberty affect growth calculator results?

Yes, puberty causes significant growth spurts in both height and weight. During puberty, a child's growth rate can temporarily accelerate, pushing them into higher percentiles. The calculator helps track this accelerated growth against normative data, which accounts for pubertal changes in its reference charts.

My calculator shows different results than my doctor's chart. Why?

Different calculators might use slightly different data sources (e.g., WHO vs. CDC charts, different years of data collection) or different interpolation methods. Minor variations are normal. However, significant discrepancies should be discussed with your pediatrician, who uses official, validated tools.

Related Tools and Internal Resources

Results copied to clipboard!
// Placeholder for actual CDC/WHO data – In a real implementation, this would be much more extensive // and likely loaded from an external data source or a larger JS object. // For demonstration, simplified data points for a few ages and genders are represented. var growthData = { male: { 2: { height: { median: 87.6, sd3: 77.0, sd97: 98.2 }, weight: { median: 12.2, sd3: 9.6, sd97: 15.9 }, bmi: { median: 15.5, sd3: 13.1, sd97: 19.0 } }, 5: { height: { median: 109.4, sd3: 98.5, sd97: 122.0 }, weight: { median: 18.7, sd3: 15.4, sd97: 24.0 }, bmi: { median: 15.6, sd3: 13.3, sd97: 19.3 } }, 8: { height: { median: 129.9, sd3: 117.8, sd97: 142.5 }, weight: { median: 26.2, sd3: 21.2, sd97: 33.5 }, bmi: { median: 15.4, sd3: 13.0, sd97: 19.6 } }, 10: { height: { median: 138.1, sd3: 126.1, sd97: 150.8 }, weight: { median: 30.4, sd3: 24.7, sd97: 39.0 }, bmi: { median: 15.9, sd3: 13.4, sd97: 20.5 } } }, female: { 2: { height: { median: 86.6, sd3: 76.7, sd97: 97.4 }, weight: { median: 11.7, sd3: 9.3, sd97: 15.2 }, bmi: { median: 15.4, sd3: 13.0, sd97: 18.8 } }, 5: { height: { median: 108.6, sd3: 98.0, sd97: 119.8 }, weight: { median: 18.1, sd3: 15.1, sd97: 23.2 }, bmi: { median: 15.5, sd3: 13.1, sd97: 19.2 } }, 8: { height: { median: 129.3, sd3: 117.6, sd97: 141.6 }, weight: { median: 25.5, sd3: 21.1, sd97: 32.4 }, bmi: { median: 15.2, sd3: 12.9, sd97: 19.0 } }, 10: { height: { median: 136.8, sd3: 125.3, sd97: 148.9 }, weight: { median: 29.4, sd3: 24.5, sd97: 37.4 }, bmi: { median: 15.7, sd3: 13.3, sd97: 20.2 } } } }; // Simplified mapping for Height Age and Weight Age based on common reference data // In a real scenario, this would involve a lookup table or algorithm var heightAgeMap = { male: { 110: 5, 120: 7, 130: 9, 140: 11 }, female: { 110: 5, 120: 7, 130: 9, 140: 11 } }; var weightAgeMap = { male: { 12: 2, 15: 3, 18: 4, 20: 5, 25: 7, 30: 8 }, female: { 11: 2, 14: 3, 17: 4, 19: 5, 24: 7, 29: 8 } }; // Simplified BMI Percentile data – Real data is extensive and complex var bmiPercentileData = { male: { 5: { heightAge: 0.5, bmiPercentile: 5 }, // Placeholder for very young 2: { heightAge: 2, bmiPercentile: 50 }, // Average for 2yo male 5: { heightAge: 5, bmiPercentile: 50 }, // Average for 5yo male 8: { heightAge: 8, bmiPercentile: 50 }, // Average for 8yo male 10: { heightAge: 10, bmiPercentile: 50 }, }, female: { 5: { heightAge: 0.5, bmiPercentile: 5 }, // Placeholder 2: { heightAge: 2, bmiPercentile: 50 }, // Average for 2yo female 5: { heightAge: 5, bmiPercentile: 50 }, // Average for 5yo female 8: { heightAge: 8, bmiPercentile: 50 }, // Average for 8yo female 10: { heightAge: 10, bmiPercentile: 50 }, } }; var chartInstance = null; // To hold chart instance function getGrowthData(age, gender, measurementType) { var data = growthData[gender]; if (!data) return null; var roundedAge = Math.round(age); // Try to find data for the exact age, or nearest lower if not found var ageData = data[roundedAge]; if (!ageData) { var ages = Object.keys(data).map(Number).sort(function(a, b){ return a – b; }); for (var i = ages.length – 1; i >= 0; i–) { if (ages[i] <= age) { ageData = data[ages[i]]; break; } } } if (ageData && ageData[measurementType]) { return ageData[measurementType]; } return null; } function calculatePercentile(measurement, age, gender, type) { // This is a highly simplified percentile calculation. Real-world calculations // use complex LMS (Lambda-Mu-Sigma) methods based on WHO/CDC data. // For this example, we'll approximate using median and a range. var data = getGrowthData(age, gender, type); if (!data) return { percentile: null, typicalValue: null }; var typicalValue = data.median; var lowerBound = data.sd3; // Approximating 3rd percentile var upperBound = data.sd97; // Approximating 97th percentile if (measurement upperBound) { return { percentile: 100 – Math.round(((upperBound / typicalValue) * 50) ), typicalValue: typicalValue }; // Rough estimation above median } else { // Interpolate between median and bounds var percentile = 50 + ((measurement – typicalValue) / (upperBound – typicalValue)) * 47; // Approx 50th to 97th if (percentile < 50) { percentile = 50 – ((typicalValue – measurement) / (typicalValue – lowerBound)) * 47; // Approx 3rd to 50th } return { percentile: Math.round(percentile), typicalValue: typicalValue }; } } // Function to get Height Age – VERY simplified function getHeightAge(heightCm, gender) { var heightAges = heightAgeMap[gender]; var ages = Object.keys(heightAges).map(Number).sort(function(a, b){ return a – b; }); var heightAge = null; for (var i = 0; i < ages.length; i++) { if (heightCm 0) { heightAge = ages[ages.length – 1]; } return heightAge !== null ? heightAge : '–'; } // Function to get Weight Age – VERY simplified function getWeightAge(weightKg, gender) { var weightAges = weightAgeMap[gender]; var ages = Object.keys(weightAges).map(Number).sort(function(a, b){ return a – b; }); var weightAge = null; for (var i = 0; i < ages.length; i++) { if (weightKg 0) { weightAge = ages[ages.length – 1]; } return weightAge !== null ? weightAge : '–'; } function validateInputs() { var age = parseFloat(document.getElementById('age').value); var currentHeight = parseFloat(document.getElementById('currentHeight').value); var currentWeight = parseFloat(document.getElementById('currentWeight').value); var ageError = document.getElementById('ageError'); var heightError = document.getElementById('currentHeightError'); var weightError = document.getElementById('currentWeightError'); var isValid = true; // Reset errors ageError.textContent = "; document.getElementById('age').closest('.input-group').classList.remove('error'); heightError.textContent = "; document.getElementById('currentHeight').closest('.input-group').classList.remove('error'); weightError.textContent = "; document.getElementById('currentWeight').closest('.input-group').classList.remove('error'); if (isNaN(age) || age 18) { ageError.textContent = 'Please enter a valid age between 0.1 and 18 years.'; document.getElementById('age').closest('.input-group').classList.add('error'); isValid = false; } if (isNaN(currentHeight) || currentHeight 200) { // Max height ~2m heightError.textContent = 'Please enter a valid height between 1 and 200 cm.'; document.getElementById('currentHeight').closest('.input-group').classList.add('error'); isValid = false; } if (isNaN(currentWeight) || currentWeight 150) { // Max weight ~150kg weightError.textContent = 'Please enter a valid weight between 1 and 150 kg.'; document.getElementById('currentWeight').closest('.input-group').classList.add('error'); isValid = false; } return isValid; } function calculateGrowth() { if (!validateInputs()) { // Clear previous results if validation fails document.getElementById('growthPercentile').textContent = '–'; document.getElementById('bmiResult').textContent = '–'; document.getElementById('heightAge').textContent = '–'; document.getElementById('weightAge').textContent = '–'; clearTable(); updateChart([], []); return; } var age = parseFloat(document.getElementById('age').value); var gender = document.getElementById('gender').value; var currentHeight = parseFloat(document.getElementById('currentHeight').value); var currentWeight = parseFloat(document.getElementById('currentWeight').value); // BMI Calculation var heightInMeters = currentHeight / 100; var bmi = currentWeight / (heightInMeters * heightInMeters); bmi = parseFloat(bmi.toFixed(2)); // Height Percentile Calculation (Simplified) var heightPercentileResult = calculatePercentile(currentHeight, age, gender, 'height'); var heightPercentile = heightPercentileResult.percentile; var typicalHeight = heightPercentileResult.typicalValue; // Weight Percentile Calculation (Simplified) var weightPercentileResult = calculatePercentile(currentWeight, age, gender, 'weight'); var weightPercentile = weightPercentileResult.percentile; var typicalWeight = weightPercentileResult.typicalValue; // BMI Percentile Calculation (Simplified) – using placeholder data var bmiPercentile = '–'; var bmiDataForAge = bmiPercentileData[gender]; if(bmiDataForAge) { var relevantBmiAge = Math.round(age); // Find closest age data, ideally interpolation would be used var closestAgeData = bmiDataForAge[relevantBmiAge]; if (!closestAgeData) { var ages = Object.keys(bmiDataForAge).map(Number).sort((a, b) => a – b); for(var i = ages.length – 1; i >= 0; i–) { if(ages[i] = closestAgeData.sd3 && bmi <= closestAgeData.sd97) { // simplified range check bmiPercentile = closestAgeData.bmiPercentile; // Using median as placeholder } else if (bmi 0) { tableData += "Age\tGender\tTypical H (cm)\tTypical W (kg)\tYour H (cm)\tYour W (kg)\tH %ile\tW %ile\tBMI\n"; for (var i = 0; i < tableRows.length; i++) { var cells = tableRows[i].cells; for (var j = 0; j 0) { labels.push(currentData[0].age); heightPercentiles.push(currentData[0].heightP); bmiPercentiles.push(currentData[0].bmiP); } // Add some sample historical data points for comparison if available var sampleAges = [2, 5, 8, 10]; // Example ages for (var i = 0; i 0 && currentData[0].age === sampleAge) continue; labels.push(sampleAge); var sampleHeightP = calculatePercentile(getSampleMeasurement(sampleAge, gender, 'height'), sampleAge, gender, 'height').percentile; var sampleBmiP = '–'; // Placeholder – complex to get exact BMI percentile for sample heightPercentiles.push(sampleHeightP); bmiPercentiles.push(sampleBmiP); } // Sort data by age for the chart var sortedIndices = labels.map(function(_, i) { return i; }).sort(function(a, b) { return labels[a] – labels[b]; }); var sortedLabels = sortedIndices.map(function(i) { return labels[i]; }); var sortedHeightPercentiles = sortedIndices.map(function(i) { return heightPercentiles[i]; }); var sortedBmiPercentiles = sortedIndices.map(function(i) { return bmiPercentiles[i]; }); chartInstance = new Chart(ctx, { type: 'line', data: { labels: sortedLabels, datasets: [{ label: 'Height Percentile', data: sortedHeightPercentiles, borderColor: 'var(–primary-color)', backgroundColor: 'rgba(0, 74, 153, 0.2)', fill: false, tension: 0.1, pointRadius: 5, pointHoverRadius: 7 }, { label: 'BMI Percentile', data: sortedBmiPercentiles, // Will show as gaps if data is '–' borderColor: 'var(–success-color)', backgroundColor: 'rgba(40, 167, 69, 0.2)', fill: false, tension: 0.1, pointRadius: 5, pointHoverRadius: 7 }] }, options: { responsive: true, maintainAspectRatio: true, scales: { x: { title: { display: true, text: 'Age (Years)' } }, y: { title: { display: true, text: 'Percentile (%)' }, min: 0, max: 100 } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || "; if (label) { label += ': '; } if (context.parsed.y !== null && context.parsed.y !== '–') { label += context.parsed.y + '%'; } else { label += 'N/A'; } return label; } } }, legend: { position: 'top' } } } }); } // Helper to get sample measurements for chart, very basic approximation function getSampleMeasurement(age, gender, type) { var data = growthData[gender]; if (!data) return null; var ageData = data[age]; if (ageData && ageData[type]) { // Return median measurement for the sample age return ageData[type].median; } // Fallback if specific age data isn't available var ages = Object.keys(data).map(Number).sort(function(a, b){ return a – b; }); if (ages.length > 0) { var nearestAge = ages[0]; // take first available age if age not found exactly return data[nearestAge][type].median; } return null; } // Toggle FAQ accordions function toggleFaq(element) { var parent = element.parentElement; parent.classList.toggle('active'); } // Initial calculation and chart setup on page load document.addEventListener('DOMContentLoaded', function() { // Need to load Chart.js library – assuming it's available globally or included via CDN // For this standalone HTML, Chart.js needs to be included. // Example: // Assuming Chart.js is loaded, proceed with initial setup: resetForm(); // Set default values and clear results calculateGrowth(); // Perform initial calculation based on defaults });

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