Average Height Weight Percentile Calculator

Average Height Weight Percentile Calculator & Guide :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ddd; –card-background: #fff; –shadow: 0 2px 5px rgba(0,0,0,0.1); } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–background-color); color: var(–text-color); line-height: 1.6; margin: 0; padding: 0; } .container { max-width: 960px; margin: 20px auto; padding: 20px; background-color: var(–card-background); border-radius: 8px; box-shadow: var(–shadow); } h1, h2, h3 { color: var(–primary-color); text-align: center; } h1 { font-size: 2.2em; margin-bottom: 15px; } h2 { font-size: 1.8em; margin-top: 30px; margin-bottom: 15px; border-bottom: 2px solid var(–primary-color); padding-bottom: 5px; } h3 { font-size: 1.4em; margin-top: 20px; margin-bottom: 10px; } .calculator-section { background-color: var(–card-background); padding: 25px; border-radius: 8px; box-shadow: var(–shadow); 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Average Height Weight Percentile Calculator

Understand your child's growth trajectory by calculating their height and weight percentile.

Growth Percentile Calculator

Enter age in whole months.
Enter height in centimeters.
Enter weight in kilograms.
Male Female
Select the child's gender.

Your Child's Growth Percentiles

Height Percentile: —
Weight Percentile: —
BMI: —
BMI Percentile: —
Percentiles are calculated using WHO (World Health Organization) growth standards, comparing your child's measurements to those of healthy children of the same age and sex. BMI is calculated as weight (kg) / height (m)^2.

Growth Chart Visualization

This chart shows the 50th percentile (average) for height and weight based on age, with your child's current measurements overlaid.

What is Average Height Weight Percentile?

The average height weight percentile is a statistical measure used to compare a child's physical measurements (height and weight) against a reference population of children of the same age and sex. It indicates the percentage of children who are shorter or lighter than the child being measured. For instance, if a child is at the 75th percentile for height, it means they are taller than 75% of children their age and sex, and shorter than 25%.

Understanding these percentiles is crucial for monitoring a child's growth and development. It helps healthcare providers identify potential growth concerns, such as being significantly underweight, overweight, or experiencing a growth spurt or slowdown. It's important to remember that percentiles are just one tool; a child's overall health, energy levels, and developmental milestones are equally important indicators.

Who should use it?

  • Parents and guardians monitoring their child's growth.
  • Pediatricians and healthcare professionals assessing child development.
  • Anyone interested in understanding typical growth patterns in children.

Common misconceptions:

  • Myth: Being below the 50th percentile is always bad. Reality: A child can be perfectly healthy at any percentile, as long as they are growing consistently along their own curve and are within a healthy BMI range.
  • Myth: Percentiles are fixed. Reality: A child's percentile can change, especially in the first few years of life, as they establish their growth trajectory.
  • Myth: All percentiles are the same for boys and girls. Reality: Growth standards often differ between sexes, especially after infancy.

Height Weight Percentile Formula and Mathematical Explanation

Calculating exact percentiles involves complex statistical models based on reference data, typically from organizations like the World Health Organization (WHO) or the Centers for Disease Control and Prevention (CDC). These models use smoothed curves (like the LMS method – Lambda, Mu, Sigma) to estimate the value at a specific percentile for a given age and sex.

Our calculator simplifies this by using pre-computed data tables and interpolation based on WHO growth standards. The core steps involve:

  1. Data Lookup: Finding the reference measurements (e.g., median, 3rd, 5th, 10th, 25th, 50th, 75th, 90th, 95th, 97th percentiles) for height and weight for the child's specific age and gender.
  2. Interpolation: If the child's exact age isn't in the table, values are estimated between the nearest data points.
  3. Percentile Calculation: Determining where the child's measurement falls relative to these reference points. This often involves complex statistical functions that map the measurement to a percentile value.
  4. BMI Calculation: Body Mass Index (BMI) is calculated using the formula: BMI = weight (kg) / (height (m))^2. Height must be converted from centimeters to meters (height_m = height_cm / 100).
  5. BMI Percentile Calculation: Similar to height and weight, the calculated BMI is then compared to age- and sex-specific BMI-for-age percentiles using established growth charts and statistical models.

Variables:

Variables Used in Growth Percentile Calculation
Variable Meaning Unit Typical Range
Age Child's age Months 1 – 240 (0-20 years)
Height Child's measured height Centimeters (cm) Varies significantly by age
Weight Child's measured weight Kilograms (kg) Varies significantly by age
Gender Child's biological sex Categorical (Male/Female) Male, Female
BMI Body Mass Index kg/m² Typically 13-22 for children aged 2-19
Percentile Position relative to peers % 0 – 100

Practical Examples (Real-World Use Cases)

Let's look at two scenarios using our average height weight percentile calculator:

Example 1: A Healthy 3-Year-Old Boy

  • Inputs:
    • Age: 36 months
    • Height: 95 cm
    • Weight: 14 kg
    • Gender: Male
  • Calculator Output:
    • Height Percentile: 50th
    • Weight Percentile: 60th
    • BMI: 15.4 kg/m²
    • BMI Percentile: 65th
  • Interpretation: This child is growing well. His height is average for his age (50th percentile), and his weight is slightly above average (60th percentile). His BMI percentile (65th) indicates he is in the healthy weight range, slightly above the median but well within normal limits. This suggests a balanced growth pattern.

Example 2: A Toddler Needing Monitoring

  • Inputs:
    • Age: 18 months
    • Height: 78 cm
    • Weight: 12.5 kg
    • Gender: Female
  • Calculator Output:
    • Height Percentile: 25th
    • Weight Percentile: 40th
    • BMI: 20.5 kg/m²
    • BMI Percentile: 85th
  • Interpretation: This child's height is below average (25th percentile), while her weight is closer to the average (40th percentile). This combination results in a higher BMI percentile (85th), placing her in the overweight category according to WHO standards. This situation warrants a discussion with a pediatrician to explore dietary habits, activity levels, and ensure healthy weight gain trajectory. It highlights how weight can be average or above while height is lagging, leading to a higher BMI percentile.

How to Use This Average Height Weight Percentile Calculator

Using our calculator is straightforward and designed for quick, accurate results. Follow these simple steps:

  1. Gather Measurements: Ensure you have your child's accurate age in months, height in centimeters, and weight in kilograms.
  2. Enter Data: Input the values into the respective fields: "Child's Age (Months)", "Child's Height (cm)", and "Child's Weight (kg)".
  3. Select Gender: Choose the correct gender (Male or Female) from the dropdown menu.
  4. Calculate: Click the "Calculate Percentile" button.

How to read results:

  • Main Result: This often displays the BMI percentile, which is a key indicator for weight status (underweight, healthy weight, overweight, obese).
  • Height Percentile: Shows where your child's height ranks compared to peers.
  • Weight Percentile: Shows where your child's weight ranks compared to peers.
  • BMI: The calculated Body Mass Index value.
  • BMI Percentile: Crucial for understanding weight status relative to age and sex.

Decision-making guidance:

  • Consistent Growth: If your child's height and weight percentiles are relatively stable and tracking along a similar curve, it generally indicates healthy, consistent growth.
  • Significant Changes: A sudden drop or rise in percentile, or a significant difference between height and weight percentiles (like in Example 2), should prompt a conversation with a healthcare provider.
  • Consult Professionals: Always discuss your child's growth charts and percentile data with your pediatrician. They can provide personalized advice based on your child's unique health history and development. This calculator is a tool for information, not a substitute for professional medical advice.

Key Factors That Affect Average Height Weight Percentile Results

Several factors influence a child's growth and, consequently, their position on growth charts. Understanding these can provide context to the percentile results:

  1. Genetics: A child's genetic predisposition plays a significant role in their potential height and build. Parents' heights and body types can be indicators.
  2. Nutrition: Adequate and balanced nutrition is fundamental for growth. Deficiencies can stunt growth, while excessive intake can lead to being overweight. The quality and quantity of food intake directly impact weight and, over time, height.
  3. Sleep: Growth hormone is primarily released during deep sleep. Insufficient or poor-quality sleep can potentially impact growth rates.
  4. Physical Activity: Regular exercise contributes to healthy muscle development and bone strength. While it doesn't directly increase height potential, it influences body composition and BMI, affecting weight percentiles and BMI calculations.
  5. Hormonal Factors: Conditions affecting growth hormone, thyroid hormones, or other endocrine functions can significantly alter growth patterns and percentile rankings.
  6. Chronic Illnesses: Long-term health conditions, such as celiac disease, kidney issues, or heart conditions, can affect nutrient absorption and overall energy expenditure, impacting growth.
  7. Prenatal Factors: Maternal health during pregnancy, birth weight, and gestational age can influence a baby's initial growth trajectory and subsequent percentiles.
  8. Socioeconomic Factors: Access to nutritious food, healthcare, and safe environments for play can indirectly influence a child's growth and development.

Frequently Asked Questions (FAQ)

What is the difference between height percentile and weight percentile?
Height percentile indicates how tall a child is compared to others of the same age and sex. Weight percentile indicates how heavy a child is compared to others of the same age and sex. They are independent measures, but their relationship (reflected in BMI percentile) is key to assessing weight status.
Is it bad if my child is below the 50th percentile for height?
Not necessarily. As long as the child is following their own growth curve consistently and is healthy, being below the 50th percentile is perfectly normal. Many healthy children fall between the 10th and 90th percentiles. The key is consistent growth rather than hitting a specific number.
How often should I check my child's growth percentiles?
Pediatricians typically track growth at regular well-child visits, often every few months in infancy and toddlerhood, and annually thereafter. You can use this calculator between visits for informational purposes, but rely on your doctor's assessments.
What does a BMI percentile of 90 mean?
A BMI percentile of 90 means the child's BMI is greater than or equal to 90% of children of the same age and sex. According to WHO and CDC guidelines, this typically falls into the "overweight" category. A BMI percentile of 95 or higher is considered "obese."
Can my child's percentile change over time?
Yes, especially during the first two years of life, children may establish their growth channel. After that, significant shifts in percentile can indicate a change in growth rate that might warrant medical attention. Consistent tracking is more important than a single measurement.
Does this calculator use WHO or CDC growth charts?
This calculator primarily uses WHO (World Health Organization) growth standards, which are recommended for infants and children up to age 5. For older children, CDC charts are often used, but the principles of percentile calculation remain similar.
What if my child has a specific medical condition affecting growth?
If your child has a known medical condition that affects growth (e.g., dwarfism, genetic syndromes, hormonal issues), standard percentile charts may not be appropriate. Consult your pediatrician or a specialist for growth monitoring using condition-specific charts or assessments.
How accurate are online calculators compared to a doctor's office?
Online calculators like this one provide a good estimate based on standard data. However, a doctor's office uses calibrated equipment and may have access to more detailed growth charts or specialized software. Always prioritize your pediatrician's measurements and interpretations.

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// Data for WHO Growth Standards (simplified for demonstration) // These are approximate values and real calculations use more granular data and complex models. // Structure: { age_in_months: { gender: { height_cm: [p3, p5, p10, p25, p50, p75, p90, p95, p97], weight_kg: [p3, p5, p10, p25, p50, p75, p90, p95, p97], bmi_percentiles: [p3, p5, p10, p25, p50, p75, p90, p95, p97] } } } // Note: Real WHO data is much more extensive and precise. This is a placeholder. var whoGrowthData = { 1: { male: { height_cm: [49, 50, 51, 52, 53, 54, 55, 56, 57], weight_kg: [2.6, 2.8, 3.0, 3.3, 3.6, 3.9, 4.2, 4.4, 4.6], bmi_percentiles: [12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16] }, female: { height_cm: [48, 49, 50, 51, 52, 53, 54, 55, 56], weight_kg: [2.4, 2.6, 2.8, 3.1, 3.4, 3.7, 4.0, 4.2, 4.4], bmi_percentiles: [11.8, 12.3, 12.8, 13.3, 13.8, 14.3, 14.8, 15.3, 15.8] } }, 3: { male: { height_cm: [57, 59, 61, 63, 65, 67, 69, 70, 72], weight_kg: [4.5, 4.8, 5.2, 5.7, 6.2, 6.7, 7.2, 7.6, 7.9], bmi_percentiles: [13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17] }, female: { height_cm: [56, 58, 60, 62, 64, 66, 68, 69, 71], weight_kg: [4.2, 4.5, 4.9, 5.4, 5.9, 6.4, 6.9, 7.3, 7.6], bmi_percentiles: [12.8, 13.3, 13.8, 14.3, 14.8, 15.3, 15.8, 16.3, 16.8] } }, 6: { male: { height_cm: [67, 69, 71, 73, 75, 77, 79, 81, 82], weight_kg: [6.8, 7.2, 7.7, 8.3, 8.9, 9.5, 10.1, 10.6, 11.0], bmi_percentiles: [14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18] }, female: { height_cm: [65, 67, 69, 71, 73, 75, 77, 79, 80], weight_kg: [6.4, 6.8, 7.3, 7.9, 8.5, 9.1, 9.7, 10.2, 10.6], bmi_percentiles: [13.8, 14.3, 14.8, 15.3, 15.8, 16.3, 16.8, 17.3, 17.8] } }, 12: { male: { height_cm: [77, 79, 81, 83, 85, 87, 89, 91, 92], weight_kg: [9.0, 9.5, 10.1, 10.8, 11.5, 12.2, 12.9, 13.5, 13.9], bmi_percentiles: [15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19] }, female: { height_cm: [75, 77, 79, 81, 83, 85, 87, 89, 90], weight_kg: [8.5, 9.0, 9.6, 10.3, 11.0, 11.7, 12.4, 13.0, 13.4], bmi_percentiles: [14.8, 15.3, 15.8, 16.3, 16.8, 17.3, 17.8, 18.3, 18.8] } }, 18: { male: { height_cm: [85, 87, 89, 91, 93, 95, 97, 99, 100], weight_kg: [10.5, 11.1, 11.8, 12.5, 13.3, 14.1, 14.9, 15.6, 16.1], bmi_percentiles: [15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5] }, female: { height_cm: [83, 85, 87, 89, 91, 93, 95, 97, 98], weight_kg: [10.0, 10.6, 11.3, 12.0, 12.8, 13.6, 14.4, 15.1, 15.5], bmi_percentiles: [15.3, 15.8, 16.3, 16.8, 17.3, 17.8, 18.3, 18.8, 19.3] } }, 24: { male: { height_cm: [91, 93, 95, 97, 99, 101, 103, 105, 106], weight_kg: [11.8, 12.4, 13.1, 13.9, 14.7, 15.5, 16.3, 17.0, 17.5], bmi_percentiles: [16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20] }, female: { height_cm: [89, 91, 93, 95, 97, 99, 101, 103, 104], weight_kg: [11.2, 11.8, 12.5, 13.3, 14.1, 14.9, 15.7, 16.4, 16.8], bmi_percentiles: [15.8, 16.3, 16.8, 17.3, 17.8, 18.3, 18.8, 19.3, 19.8] } }, 36: { male: { height_cm: [95, 97, 99, 101, 103, 105, 107, 109, 110], weight_kg: [13.5, 14.2, 15.0, 15.8, 16.7, 17.6, 18.5, 19.3, 19.8], bmi_percentiles: [16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5] }, female: { height_cm: [93, 95, 97, 99, 101, 103, 105, 107, 108], weight_kg: [12.8, 13.5, 14.3, 15.1, 16.0, 16.9, 17.8, 18.6, 19.0], bmi_percentiles: [16.3, 16.8, 17.3, 17.8, 18.3, 18.8, 19.3, 19.8, 20.3] } }, 48: { male: { height_cm: [101, 103, 105, 107, 109, 111, 113, 115, 116], weight_kg: [15.0, 15.8, 16.7, 17.6, 18.6, 19.6, 20.6, 21.5, 22.0], bmi_percentiles: [17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21] }, female: { height_cm: [99, 101, 103, 105, 107, 109, 111, 113, 114], weight_kg: [14.2, 15.0, 15.9, 16.8, 17.8, 18.8, 19.8, 20.7, 21.1], bmi_percentiles: [16.8, 17.3, 17.8, 18.3, 18.8, 19.3, 19.8, 20.3, 20.8] } }, 60: { male: { height_cm: [107, 109, 111, 113, 115, 117, 119, 121, 122], weight_kg: [16.5, 17.4, 18.3, 19.3, 20.3, 21.4, 22.5, 23.5, 24.0], bmi_percentiles: [17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5] }, female: { height_cm: [105, 107, 109, 111, 113, 115, 117, 119, 120], weight_kg: [15.5, 16.4, 17.3, 18.3, 19.3, 20.4, 21.5, 22.5, 22.9], bmi_percentiles: [17.3, 17.8, 18.3, 18.8, 19.3, 19.8, 20.3, 20.8, 21.3] } }, // Add more age points as needed for better accuracy }; var percentiles = [3, 5, 10, 25, 50, 75, 90, 95, 97]; function getGrowthData(age, gender, measurementType) { var data = null; var closestAge = -1; var minDiff = Infinity; // Find the closest age in our simplified data for (var ageKey in whoGrowthData) { var diff = Math.abs(parseInt(ageKey) – age); if (diff < minDiff) { minDiff = diff; closestAge = parseInt(ageKey); } } if (closestAge !== -1 && whoGrowthData[closestAge] && whoGrowthData[closestAge][gender]) { data = whoGrowthData[closestAge][measurementType]; } return data; } function interpolate(value, arr) { if (!arr || arr.length === 0) return NaN; if (arr.length === 1) return arr[0]; var index = (value / 100) * (arr.length – 1); var lowerIndex = Math.floor(index); var upperIndex = Math.ceil(index); var weight = index – lowerIndex; if (lowerIndex === upperIndex) return arr[lowerIndex]; return arr[lowerIndex] * (1 – weight) + arr[upperIndex] * weight; } function calculatePercentile(measurement, dataArray) { if (!dataArray || dataArray.length === 0) return 'N/A'; // Find where the measurement falls relative to the percentiles // This is a simplified linear interpolation for percentile value for (var i = 0; i = dataArray[i] && measurement <= dataArray[i+1]) { var pLower = percentiles[i]; var pUpper = percentiles[i+1]; var valLower = dataArray[i]; var valUpper = dataArray[i+1]; if (valLower === valUpper) return pLower; // Avoid division by zero var percentile = pLower + ((measurement – valLower) / (valUpper – valLower)) * (pUpper – pLower); return Math.round(percentile); } } // Handle cases outside the range if (measurement dataArray[dataArray.length – 1]) return percentiles[percentiles.length – 1]; return 'N/A'; // Should not happen with proper data } function calculateBMI(weightKg, heightCm) { if (weightKg <= 0 || heightCm <= 0) return NaN; var heightM = heightCm / 100; return weightKg / (heightM * heightM); } function validateInput(id, errorId, min, max) { var input = document.getElementById(id); var errorDiv = document.getElementById(errorId); var value = parseFloat(input.value); errorDiv.textContent = ''; // Clear previous error if (isNaN(value)) { errorDiv.textContent = 'Please enter a valid number.'; return false; } if (value <= 0) { errorDiv.textContent = 'Value must be positive.'; return false; } if (min !== undefined && value max) { errorDiv.textContent = 'Value is too high.'; return false; } return true; } function calculatePercentile() { var age = parseFloat(document.getElementById('childAge').value); var height = parseFloat(document.getElementById('childHeight').value); var weight = parseFloat(document.getElementById('childWeight').value); var gender = document.getElementById('childGender').value; var errors = 0; if (!validateInput('childAge', 'childAgeError', 1, 240)) errors++; // Age 1 month to 20 years if (!validateInput('childHeight', 'childHeightError', 1, 250)) errors++; // Max height approx 2.5m if (!validateInput('childWeight', 'childWeightError', 0.1, 200)) errors++; // Max weight approx 200kg if (errors > 0) { document.getElementById('results').style.display = 'none'; return; } var heightData = getGrowthData(age, gender, 'height_cm'); var weightData = getGrowthData(age, gender, 'weight_kg'); var bmiData = getGrowthData(age, gender, 'bmi_percentiles'); // BMI percentiles are also age/sex specific var heightPercentile = calculatePercentile(height, heightData); var weightPercentile = calculatePercentile(weight, weightData); var bmi = calculateBMI(weight, height); var bmiPercentile = 'N/A'; if (!isNaN(bmi)) { bmiPercentile = calculatePercentile(bmi, bmiData); } document.getElementById('mainPercentileResult').textContent = (isNaN(bmiPercentile) || bmiPercentile === 'N/A') ? '–' : bmiPercentile + 'th Percentile (BMI)'; document.getElementById('heightPercentile').textContent = 'Height Percentile: ' + (isNaN(heightPercentile) || heightPercentile === 'N/A' ? '–' : heightPercentile + 'th'); document.getElementById('weightPercentile').textContent = 'Weight Percentile: ' + (isNaN(weightPercentile) || weightPercentile === 'N/A' ? '–' : weightPercentile + 'th'); document.getElementById('bmi').textContent = 'BMI: ' + (isNaN(bmi) ? '–' : bmi.toFixed(2) + ' kg/m²'); document.getElementById('bmiPercentile').textContent = 'BMI Percentile: ' + (isNaN(bmiPercentile) || bmiPercentile === 'N/A' ? '–' : bmiPercentile + 'th'); document.getElementById('results').style.display = 'block'; updateChart(age, height, weight, heightPercentile, weightPercentile, bmiPercentile); } function resetCalculator() { document.getElementById('childAge').value = '24'; document.getElementById('childHeight').value = '90'; document.getElementById('childWeight').value = '12'; document.getElementById('childGender').value = 'male'; document.getElementById('results').style.display = 'none'; clearErrors(); resetChart(); } function clearErrors() { document.getElementById('childAgeError').textContent = "; document.getElementById('childHeightError').textContent = "; document.getElementById('childWeightError').textContent = "; } function copyResults() { var mainResult = document.getElementById('mainPercentileResult').textContent; var heightP = document.getElementById('heightPercentile').textContent; var weightP = document.getElementById('weightPercentile').textContent; var bmiVal = document.getElementById('bmi').textContent; var bmiP = document.getElementById('bmiPercentile').textContent; var assumptions = "Assumptions:\n"; assumptions += "Age: " + document.getElementById('childAge').value + " months\n"; assumptions += "Height: " + document.getElementById('childHeight').value + " cm\n"; assumptions += "Weight: " + document.getElementById('childWeight').value + " kg\n"; assumptions += "Gender: " + document.getElementById('childGender').value + "\n"; var textToCopy = "— Growth Percentile Results —\n\n"; textToCopy += mainResult + "\n"; textToCopy += heightP + "\n"; textToCopy += weightP + "\n"; textToCopy += bmiVal + "\n"; textToCopy += bmiP + "\n\n"; textToCopy += "— Key Assumptions —\n" + assumptions; navigator.clipboard.writeText(textToCopy).then(function() { // Success feedback (optional) var copyButton = document.querySelector('button.btn-success'); var originalText = copyButton.textContent; copyButton.textContent = 'Copied!'; setTimeout(function() { copyButton.textContent = originalText; }, 1500); }).catch(function(err) { console.error('Failed to copy text: ', err); // Error feedback (optional) }); } // Charting Logic var growthChart; var chartData = { labels: [], // Ages datasets: [ { label: 'Average Height (50th %ile)', data: [], // Height values borderColor: 'rgba(0, 74, 153, 1)', // Primary color backgroundColor: 'rgba(0, 74, 153, 0.1)', fill: false, tension: 0.1, yAxisID: 'y-height' }, { label: 'Average Weight (50th %ile)', data: [], // Weight values borderColor: 'rgba(40, 167, 69, 1)', // Success color backgroundColor: 'rgba(40, 167, 69, 0.1)', fill: false, tension: 0.1, yAxisID: 'y-weight' }, { label: 'Child\'s Height', data: [], borderColor: 'rgba(255, 99, 132, 1)', // Red for child's height backgroundColor: 'rgba(255, 99, 132, 0.2)', type: 'scatter', // Use scatter for single point pointRadius: 6, pointHoverRadius: 8, yAxisID: 'y-height' }, { label: 'Child\'s Weight', data: [], borderColor: 'rgba(255, 159, 64, 1)', // Orange for child's weight backgroundColor: 'rgba(255, 159, 64, 0.2)', type: 'scatter', pointRadius: 6, pointHoverRadius: 8, yAxisID: 'y-weight' } ] }; function initializeChart() { var ctx = document.getElementById('growthChart').getContext('2d'); growthChart = new Chart(ctx, { type: 'line', // Default type, scatter points will override data: chartData, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Age (Months)' } }, y-height: { type: 'linear', position: 'left', title: { display: true, text: 'Height (cm)' }, beginAtZero: false }, y-weight: { type: 'linear', position: 'right', title: { display: true, text: 'Weight (kg)' }, beginAtZero: false, grid: { drawOnChartArea: false, // only want the grid lines for one axis to show up } } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || "; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y + (context.dataset.label.includes('Height') ? ' cm' : ' kg'); } return label; } } } } } }); } function populateChartData() { chartData.labels = []; chartData.datasets[0].data = []; // Avg Height chartData.datasets[1].data = []; // Avg Weight chartData.datasets[2].data = []; // Child Height Point chartData.datasets[3].data = []; // Child Weight Point var maxAge = 60; // Show up to 60 months (5 years) for example var gender = document.getElementById('childGender').value; for (var age = 1; age 4) { // Ensure data exists and has enough points for 50th percentile chartData.datasets[0].data.push(heightData[4]); // 50th percentile index } else { chartData.datasets[0].data.push(null); } if (weightData && weightData.length > 4) { chartData.datasets[1].data.push(weightData[4]); // 50th percentile index } else { chartData.datasets[1].data.push(null); } } // Add the current child's data point var currentAge = parseFloat(document.getElementById('childAge').value); var currentHeight = parseFloat(document.getElementById('childHeight').value); var currentWeight = parseFloat(document.getElementById('childWeight').value); if (!isNaN(currentAge) && !isNaN(currentHeight)) { chartData.datasets[2].data.push({ x: currentAge, y: currentHeight }); } if (!isNaN(currentAge) && !isNaN(currentWeight)) { chartData.datasets[3].data.push({ x: currentAge, y: currentWeight }); } } function updateChart(currentAge, currentHeight, currentWeight, heightP, weightP, bmiP) { if (!growthChart) { initializeChart(); } populateChartData(); // Repopulate base data // Update the specific points for the current child var childHeightPoint = { x: currentAge, y: currentHeight }; var childWeightPoint = { x: currentAge, y: currentWeight }; // Find and update the child's data points in the datasets // Assuming only one point for the current child chartData.datasets[2].data = [childHeightPoint]; chartData.datasets[3].data = [childWeightPoint]; growthChart.update(); } function resetChart() { if (growthChart) { populateChartData(); // Reset to default populated data growthChart.update(); } } // Initialize chart on load window.onload = function() { initializeChart(); populateChartData(); // Populate initial data growthChart.update(); // Render initial chart }; // FAQ Toggle document.addEventListener('DOMContentLoaded', function() { var faqQuestions = document.querySelectorAll('.faq-question'); faqQuestions.forEach(function(question) { question.addEventListener('click', function() { var faqItem = this.parentElement; faqItem.classList.toggle('open'); }); }); });

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