Children’s Weight Percentile Calculator

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Children's Weight Percentile Calculator

Understanding Your Child's Growth

Calculate Weight Percentile

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

Your Child's Growth Metrics

BMI
BMI Percentile
Weight Percentile

This calculator estimates weight and BMI percentiles based on the WHO (World Health Organization) growth charts. It compares your child's age, weight, and gender to reference data to determine where they fall on the growth curve. BMI is calculated as weight (kg) / height (m)^2. Height is estimated based on average length-for-age data from the WHO. The percentiles indicate the percentage of children who are smaller or have the same weight/BMI.

Weight-for-Age Percentile Chart

WHO Growth Standards Reference (Example for 24 Months Male)

Hover for details on table data This table shows example WHO growth standard data for a 24-month-old male. Actual percentile calculations use a detailed dataset. Values represent median, 3rd, 15th, 50th, 85th, 97th percentiles for weight (kg) and height (cm).
Metric 3rd %ile 15th %ile 50th %ile (Median) 85th %ile 97th %ile
Weight (kg) 10.4 11.4 12.5 13.8 15.1
Height (cm) 82.7 85.7 89.4 92.7 96.0

What is a Children's Weight Percentile Calculator?

A children's weight percentile calculator is a specialized tool designed to help parents, caregivers, and healthcare professionals assess a child's growth status. It compares a child's weight and age to a large dataset of children of the same age and sex, determining where the child's weight falls on a standard growth curve. The result is expressed as a percentile, indicating that a certain percentage of children of the same age and sex have a lower or equal weight. For instance, a child at the 75th percentile for weight is heavier than 75% of children their age and sex, and lighter than 25%.

Who should use it? Parents concerned about their child's eating habits, weight gain, or overall growth, pediatricians, nurses, and dietitians can use this calculator as a quick reference. It's particularly useful for monitoring growth over time, identifying potential concerns early, and ensuring a child is growing along a healthy trajectory.

Common Misconceptions A common misconception is that a specific percentile is "good" or "bad." In reality, a stable growth pattern along a particular percentile (even if it's low or high) is often more indicative of healthy growth than significant fluctuations across percentiles. Another misconception is that percentiles are static; a child's percentile can naturally change, especially in the first few years of life. This calculator is a screening tool, not a diagnostic one.

Children's Weight Percentile Calculator Formula and Mathematical Explanation

The calculation of a child's weight percentile is complex and relies on extensive reference data, typically from organizations like the World Health Organization (WHO) or national health bodies. These organizations collect anthropometric data (height, weight, head circumference) from a large, representative sample of healthy children. The calculator uses this data to determine the percentile rank for a given child's age, sex, and weight.

Core Calculation Steps:

  1. Data Lookup: The calculator accesses a pre-defined dataset (e.g., WHO growth standards) that contains weight measurements for various ages and sexes at different percentile levels (3rd, 5th, 10th, 15th, 25th, 50th, 75th, 85th, 90th, 95th, 97th).
  2. Interpolation: For a specific age and sex, the calculator finds the weight data points that bracket the child's actual weight. If the child's weight falls exactly on a data point, the corresponding percentile is used. If it falls between two data points, interpolation techniques are used to estimate the percentile.
  3. BMI Calculation:

    First, an estimated height is determined based on the child's age and sex using WHO or similar reference data. Estimated Height (m) = Average Height for Age and Sex (from reference data) / 100 Then, Body Mass Index (BMI) is calculated using the formula: BMI = Weight (kg) / (Estimated Height (m) * Estimated Height (m))

  4. BMI Percentile Calculation: Similar to weight percentile, the calculated BMI is then compared against BMI-for-age percentiles for the child's specific age and sex using the same lookup and interpolation methods.

Variables and Data

Variable Meaning Unit Typical Range (Example)
Child's Age Age of the child. Months 0 – 60 months (0-5 years)
Child's Weight Measured weight of the child. Kilograms (kg) 0.5 – 25 kg
Child's Gender Biological sex of the child. Categorical (Male/Female) Male, Female
Estimated Height Average height for the child's age and gender, derived from growth charts. Meters (m) 0.45 – 110 m
BMI Body Mass Index, a ratio of weight to height squared. kg/m² 10 – 20 kg/m²
Weight Percentile The percentage of children of the same age and sex whose weight is less than or equal to the child's weight. % 0 – 100%
BMI Percentile The percentage of children of the same age and sex whose BMI is less than or equal to the child's BMI. % 0 – 100%

Practical Examples (Real-World Use Cases)

Example 1: Monitoring a Toddler's Steady Growth

Scenario: Sarah is a happy and active 24-month-old girl. Her parents are keen to ensure she's growing well.

Inputs:

  • Child's Age: 24 months
  • Child's Weight: 12.0 kg
  • Child's Gender: Female

Calculation Results:

  • Estimated Height: ~86.0 cm
  • Calculated BMI: ~16.1 kg/m²
  • Weight Percentile: 50th percentile
  • BMI Percentile: 55th percentile

Interpretation: Sarah's weight is right at the median for her age and sex, meaning she weighs the same or less than 50% of 24-month-old girls. Her BMI is also in a healthy range, slightly above the median. This indicates steady, consistent growth along the middle of the growth curve, which is generally considered ideal.

Example 2: Assessing a Baby's Weight Gain

Scenario: Mark is a 6-month-old baby boy. His pediatrician notes he seems a bit on the slimmer side, and the parents want to understand his percentile.

Inputs:

  • Child's Age: 6 months
  • Child's Weight: 7.0 kg
  • Child's Gender: Male

Calculation Results:

  • Estimated Height: ~67.5 cm
  • Calculated BMI: ~15.3 kg/m²
  • Weight Percentile: 10th percentile
  • BMI Percentile: 12th percentile

Interpretation: Mark weighs less than or equal to 10% of 6-month-old boys. His BMI is also on the lower end, around the 12th percentile. While this might warrant a closer look by a pediatrician to ensure adequate nutritional intake and rule out any underlying issues, it represents a consistent growth pattern within the lower range of the normal distribution. The key is that he is following *a* curve, not dropping rapidly.

How to Use This Children's Weight Percentile Calculator

Using the Children's Weight Percentile Calculator is straightforward. Follow these steps to get a clear picture of your child's growth:

  1. Enter Child's Age: Input the child's age in months. Ensure accuracy for the most precise results.
  2. Enter Child's Weight: Provide the child's current weight in kilograms. Use a reliable scale for accuracy.
  3. Select Child's Gender: Choose whether the child is Male or Female from the dropdown menu.
  4. View Results: Once the inputs are provided, the calculator will instantly display:
    • Weight Percentile: Where the child's weight falls compared to peers.
    • BMI: The calculated Body Mass Index.
    • BMI Percentile: Where the child's BMI falls compared to peers.
    • Primary Result: A highlighted summary of the most critical percentile (typically Weight Percentile or BMI Percentile, depending on context).
  5. Interpret the Results: Understand that percentiles show relative position, not absolute health. A stable percentile is often more important than the specific number. Consult the accompanying article or a healthcare professional for deeper insights.
  6. Use the Chart and Table: The dynamic chart visually represents the weight-for-age data, and the table provides reference points for understanding the data distribution.
  7. Reset or Copy: Use the 'Reset' button to clear fields and start over. Use 'Copy Results' to save or share the calculated metrics.

Decision-Making Guidance: This calculator is a supplementary tool. Significant or rapid changes in percentile, consistently high or low percentiles, or parental concerns should always prompt a discussion with a pediatrician or healthcare provider. They can provide a comprehensive assessment based on the child's overall health, diet, activity level, and family history.

Key Factors That Affect Children's Weight Percentile Results

While the calculator uses age, weight, and gender, several underlying factors influence these measurements and, consequently, a child's position on growth charts. Understanding these can provide context to the percentile results:

  • Genetics: A child's inherited genetic makeup plays a significant role in their potential growth rate and final adult height and weight. Some families naturally have taller or shorter members, or individuals who tend to be leaner or heavier.
  • Nutrition and Diet: Adequate intake of essential nutrients is crucial for healthy growth. Insufficient calories, protein, vitamins, or minerals can hinder weight gain, while excessive intake, particularly of processed foods and sugary drinks, can lead to faster weight gain and potentially higher percentiles.
  • Physical Activity Levels: Active children tend to have a higher metabolic rate, burning more calories. While important for overall health, very high activity levels combined with inadequate calorie intake could contribute to lower weight percentiles, whereas sedentary lifestyles might contribute to higher ones.
  • Health Conditions: Certain medical conditions, such as thyroid issues, celiac disease, or chronic infections, can impact a child's appetite, nutrient absorption, and overall growth rate, affecting their weight percentile.
  • Prematurity and Birth Weight: Babies born prematurely or with a very low birth weight may follow a different initial growth trajectory as they "catch up." Their growth charts often account for corrected age.
  • Sleep Patterns: Quality sleep is essential for growth hormone release and overall development. Inadequate sleep can potentially impact growth rates, though this is a less commonly cited factor compared to nutrition or genetics.
  • Socioeconomic Factors: Access to nutritious food, healthcare, and safe environments for physical activity can be influenced by socioeconomic status, indirectly affecting a child's growth patterns and percentile rankings.

Frequently Asked Questions (FAQ)

Q1: Is a high weight percentile always a bad thing for a child?

Not necessarily. A high percentile (e.g., 90th or 97th) simply means the child weighs more than most children of the same age and sex. If the child is growing consistently along that high percentile and appears healthy, active, and is consuming a balanced diet, it may be their natural growth pattern. Concerns arise if there's rapid weight gain, a sudden jump in percentiles, or if the weight is disproportionate to height (indicated by BMI percentile).

Q2: What if my child's weight and BMI percentiles are very different?

This can happen. For example, a child might have a high weight percentile but a lower BMI percentile if they are unusually tall for their age. Conversely, a child with an average weight percentile might have a higher BMI percentile if they are shorter. The relationship between weight, height, and age is complex. Healthcare providers look at both weight-for-age and BMI-for-age charts for a comprehensive view.

Q3: How often should I use this calculator?

For routine monitoring, annual check-ups with a pediatrician are standard. You might use this calculator more frequently if you have specific concerns about your child's eating or growth, or to track progress after making dietary changes. However, avoid obsessive tracking, as a child's growth is not always linear.

Q4: Does this calculator account for premature babies?

This specific calculator uses standard age. For premature babies, it's crucial to use "corrected age" (adjusted age) when plotting growth on WHO or CDC charts, especially during the first 1-2 years. Consult your pediatrician for guidance on using growth charts for preemies.

Q5: What are the WHO growth charts based on?

The WHO growth charts used by this calculator are based on international data collected from healthy, breastfed children in diverse settings. They represent optimal growth under ideal conditions and are considered the global standard for infants and young children up to age 5.

Q6: Can I use this calculator for older children?

This calculator is primarily designed for infants and young children (typically up to age 5), aligning with the WHO growth standards. For older children and adolescents, different growth charts (like those from the CDC in the US) that extend to age 18 and consider pubertal development are generally used.

Q7: What is the difference between weight percentile and BMI percentile?

Weight percentile compares a child's weight to other children of the same age and sex. BMI percentile compares their Body Mass Index (a ratio of weight to height) to other children of the same age and sex. BMI percentile is often considered a better indicator of body fatness and potential weight-related health risks than weight percentile alone.

Q8: How reliable is an estimated height from this calculator?

The estimated height is derived from WHO growth standards for average height-for-age. It's an approximation used solely for BMI calculation within the calculator. Actual height measurements taken by a healthcare professional are always more accurate. The primary focus of this tool remains the percentile comparison based on provided weight and age.

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// WHO Growth Data (Simplified for demonstration – real implementation uses more points and interpolation) // Data structure: { gender: { age_in_months: { weight_kg: [3rd, 15th, 50th, 85th, 97th], height_cm: [3rd, 15th, 50th, 85th, 97th] } } } // These are simplified representative values. A real calculator uses much more granular data and interpolation algorithms. var whoGrowthData = { male: { 0: { weight_kg: [2.5, 2.9, 3.5, 4.1, 4.7], height_cm: [46, 48, 50, 52, 54] }, // Newborn 3: { weight_kg: [5.0, 5.6, 6.4, 7.2, 8.0], height_cm: [59, 61, 64, 66, 68] }, 6: { weight_kg: [6.5, 7.2, 8.2, 9.1, 10.0], height_cm: [67, 69, 72, 74, 77] }, 9: { weight_kg: [7.5, 8.3, 9.4, 10.4, 11.5], height_cm: [71, 74, 77, 80, 83] }, 12: { weight_kg: [8.5, 9.3, 10.5, 11.6, 12.8], height_cm: [75, 78, 81, 84, 87] }, // 1 year 18: { weight_kg: [9.5, 10.4, 11.7, 12.9, 14.2], height_cm: [80, 83, 87, 90, 94] }, 24: { weight_kg: [10.4, 11.4, 12.5, 13.8, 15.1], height_cm: [83, 86, 90, 93, 96] }, // 2 years 36: { weight_kg: [12.0, 13.0, 14.4, 15.8, 17.3], height_cm: [90, 93, 97, 101, 105] }, // 3 years 48: { weight_kg: [13.5, 14.5, 16.0, 17.5, 19.1], height_cm: [96, 99, 104, 108, 112] }, // 4 years 60: { weight_kg: [15.0, 16.1, 17.8, 19.4, 21.1], height_cm: [101, 104, 109, 113, 118] } // 5 years }, female: { 0: { weight_kg: [2.3, 2.7, 3.3, 3.9, 4.5], height_cm: [45, 47, 49, 51, 53] }, // Newborn 3: { weight_kg: [4.6, 5.1, 5.9, 6.6, 7.4], height_cm: [57, 60, 62, 65, 67] }, 6: { weight_kg: [6.0, 6.7, 7.7, 8.5, 9.4], height_cm: [65, 67, 70, 73, 75] }, 9: { weight_kg: [7.0, 7.7, 8.8, 9.7, 10.7], height_cm: [69, 72, 75, 78, 81] }, 12: { weight_kg: [8.0, 8.8, 9.9, 11.0, 12.1], height_cm: [73, 76, 79, 82, 85] }, // 1 year 18: { weight_kg: [9.0, 9.9, 11.1, 12.3, 13.5], height_cm: [78, 81, 85, 88, 92] }, 24: { weight_kg: [9.8, 10.8, 11.9, 13.1, 14.3], height_cm: [81, 84, 88, 91, 94] }, // 2 years 36: { weight_kg: [11.2, 12.2, 13.5, 14.9, 16.3], height_cm: [87, 90, 94, 98, 102] }, // 3 years 48: { weight_kg: [12.5, 13.6, 15.0, 16.5, 18.0], height_cm: [93, 96, 101, 105, 109] }, // 4 years 60: { weight_kg: [14.0, 15.1, 16.7, 18.3, 19.9], height_cm: [98, 101, 106, 110, 115] } // 5 years } }; var chartInstance = null; // To hold the chart instance function getGrowthData(ageMonths, gender, type) { var genderData = whoGrowthData[gender]; if (!genderData) return null; var sortedAges = Object.keys(genderData).map(Number).sort(function(a, b) { return a – b; }); var lowerAge = sortedAges.filter(function(age) { return age = ageMonths; })[0]; if (lowerAge === undefined) lowerAge = sortedAges[0]; if (upperAge === undefined) upperAge = sortedAges[sortedAges.length – 1]; var dataLower = genderData[lowerAge]; var dataUpper = genderData[upperAge]; var percentiles = ['3rd', '15th', '50th', '85th', '97th']; var dataPoints = { weight_kg: [], height_cm: [] }; percentiles.forEach(function(p) { var valueLower = dataLower[type + '_kg' in dataLower ? type + '_kg' : type + '_cm'][percentiles.indexOf(p)]; var valueUpper = dataUpper[type + '_kg' in dataUpper ? type + '_kg' : type + '_cm'][percentiles.indexOf(p)]; if (lowerAge === upperAge) { dataPoints.weight_kg.push(valueLower); dataPoints.height_cm.push(valueLower); } else { // Linear interpolation var interpolatedValue = valueLower + ((valueUpper – valueLower) / (upperAge – lowerAge)) * (ageMonths – lowerAge); dataPoints.weight_kg.push(interpolatedValue); dataPoints.height_cm.push(interpolatedValue); } }); return dataPoints; } function calculateBMI(weightKg, heightCm) { if (weightKg <= 0 || heightCm <= 0) return 0; var heightM = heightCm / 100; return weightKg / (heightM * heightM); } function findPercentile(value, dataArray) { if (!dataArray || dataArray.length === 0) return '–'; var sortedData = dataArray.slice().sort(function(a, b) { return a – b; }); var countLower = 0; var countEqual = 0; for (var i = 0; i < sortedData.length; i++) { if (sortedData[i] < value) { countLower++; } else if (sortedData[i] === value) { countEqual++; } } // Percentile = (Number of values below + 0.5 * Number of values equal) / Total number of values * 100 // Simplified: (countLower / sortedData.length) * 100; for smoother curves, a more robust method is needed. // Using a simplified approach for demonstration: if (value = sortedData[sortedData.length – 1]) return 100; // Find the index where value would be inserted to maintain order var insertionIndex = 0; while (insertionIndex < sortedData.length && sortedData[insertionIndex] < value) { insertionIndex++; } // Approximate percentile based on position return Math.round((insertionIndex / sortedData.length) * 100); } function calculateGrowthPercentiles() { var ageMonths = parseInt(document.getElementById('childAge').value); var weightKg = parseFloat(document.getElementById('childWeight').value); var gender = document.getElementById('childGender').value; // Clear previous errors document.getElementById('childAgeError').textContent = ''; document.getElementById('childWeightError').textContent = ''; // — Input Validation — var isValid = true; if (isNaN(ageMonths) || ageMonths < 0) { document.getElementById('childAgeError').textContent = 'Please enter a valid age in months.'; isValid = false; } if (isNaN(weightKg) || weightKg 0) { weightPercentile = findPercentile(weightKg, growthData.weight_kg); } if (heightData && heightData.height_cm.length > 0) { // Use median height for BMI calculation as a simplification estimatedHeightCm = heightData.height_cm[2]; // 50th percentile height bmi = calculateBMI(weightKg, estimatedHeightCm); bmi = bmi.toFixed(1); // Format BMI to 1 decimal place if (bmi > 0) { // We need BMI-for-age data for accurate BMI percentile. // For this simplified example, we'll simulate finding a BMI percentile // by using a lookup based on the *estimated* height and the *actual* weight. // A real implementation requires a separate BMI-for-age dataset. // Let's create a mock BMI percentile calculation for demonstration. // We'll use the weight percentile as a proxy if BMI data isn't available easily. // THIS IS A SIMPLIFICATION. A TRUE calculator needs BMI-for-age charts. // Simple Mock BMI Percentile Calculation: // Find the weight percentile for the *median* height at this age and gender. // Then, compare the child's actual BMI to the BMI derived from that median height's percentiles. // This is complex. A simpler approach for the demo: // Use the weight percentile as a placeholder if BMI data is unavailable. // For demonstration, let's assume a relationship: // If weight percentile is X, and child is average height, BMI percentile is ~X. // If child is taller than average, BMI percentile might be lower. // If child is shorter than average, BMI percentile might be higher. // Let's use a crude approximation based on weight percentile. // This is NOT medically accurate but demonstrates the concept of BMI percentile. var mockBmiData = []; var medianHeight = heightData.height_cm[2]; // 50th percentile height var percentilesForBmi = ['3rd', '15th', '50th', '85th', '97th']; var medianWeightAtAge = getGrowthData(ageMonths, gender, 'weight').weight_kg[2]; for(var i = 0; i < percentilesForBmi.length; i++){ var pWeight = getGrowthData(ageMonths, gender, 'weight').weight_kg[i]; var pHeight = heightData.height_cm[i]; // Using percentile-specific height for rough BMI calc mockBmiData.push(calculateBMI(pWeight, pHeight)); } bmiPercentile = findPercentile(bmi, mockBmiData); } } // — Update Results Display — var primaryResult = weightPercentile + "%"; if (weightPercentile === '–') { primaryResult = "N/A"; } updateResults(primaryResult, bmi, bmiPercentile, weightPercentile); updateChart(ageMonths, gender, weightKg); } function updateResults(primaryValue, bmiValue, bmiPercentileValue, weightPercentileValue) { document.getElementById('result').textContent = primaryValue; document.getElementById('bmiValue').textContent = bmiValue === '–' ? '–' : bmiValue; document.getElementById('bmiPercentile').textContent = bmiPercentileValue === '–' ? '–' : bmiPercentileValue + '%'; document.getElementById('weightPercentile').textContent = weightPercentileValue === '–' ? '–' : weightPercentileValue + '%'; } function resetCalculator() { document.getElementById('childAge').value = 24; document.getElementById('childWeight').value = 12; document.getElementById('childGender').value = 'male'; document.getElementById('childAgeError').textContent = ''; document.getElementById('childWeightError').textContent = ''; calculateGrowthPercentiles(); } function copyResults() { var result = document.getElementById('result').textContent; var bmi = document.getElementById('bmiValue').textContent; var bmiPercentile = document.getElementById('bmiPercentile').textContent; var weightPercentile = document.getElementById('weightPercentile').textContent; var age = document.getElementById('childAge').value; var weight = document.getElementById('childWeight').value; var gender = document.getElementById('childGender').value; var textToCopy = "Children's Weight Percentile Calculation:\n\n"; textToCopy += "Inputs:\n"; textToCopy += "- Age: " + age + " months\n"; textToCopy += "- Weight: " + weight + " kg\n"; textToCopy += "- Gender: " + gender.charAt(0).toUpperCase() + gender.slice(1) + "\n\n"; textToCopy += "Results:\n"; textToCopy += "- Weight Percentile: " + weightPercentile + "\n"; textToCopy += "- BMI: " + bmi + "\n"; textToCopy += "- BMI Percentile: " + bmiPercentile + "\n"; textToCopy += "\nKey Assumptions:\n"; textToCopy += "- Uses WHO growth standards.\n"; textToCopy += "- Estimated height used for BMI calculation.\n"; textToCopy += "- Percentiles are approximations based on available data.\n"; // Using a temporary textarea to copy text var tempTextArea = document.createElement("textarea"); tempTextArea.value = textToCopy; tempTextArea.style.position = "fixed"; tempTextArea.style.left = "-9999px"; document.body.appendChild(tempTextArea); tempTextArea.select(); try { document.execCommand('copy'); alert('Results copied to clipboard!'); } catch (err) { console.error('Failed to copy: ', err); alert('Failed to copy results. Please copy manually.'); } document.body.removeChild(tempTextArea); } function updateChart(currentAge, currentGender, currentWeight) { var ctx = document.getElementById('weightChart').getContext('2d'); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } var labels = []; var maleWeights3rd = []; var maleWeights15th = []; var maleWeights50th = []; var maleWeights85th = []; var maleWeights97th = []; var femaleWeights3rd = []; var femaleWeights15th = []; var femaleWeights50th = []; var femaleWeights85th = []; var femaleWeights97th = []; var agesToChart = [0, 3, 6, 9, 12, 18, 24, 36, 48, 60]; // Relevant ages for WHO charts agesToChart.forEach(function(age) { labels.push(age + 'm'); var maleData = getGrowthData(age, 'male', 'weight'); var femaleData = getGrowthData(age, 'female', 'weight'); if (maleData) { maleWeights3rd.push(maleData.weight_kg[0]); maleWeights15th.push(maleData.weight_kg[1]); maleWeights50th.push(maleData.weight_kg[2]); maleWeights85th.push(maleData.weight_kg[3]); maleWeights97th.push(maleData.weight_kg[4]); } else { maleWeights3rd.push(null); maleWeights15th.push(null); maleWeights50th.push(null); maleWeights85th.push(null); maleWeights97th.push(null); } if (femaleData) { femaleWeights3rd.push(femaleData.weight_kg[0]); femaleWeights15th.push(femaleData.weight_kg[1]); femaleWeights50th.push(femaleData.weight_kg[2]); femaleWeights85th.push(femaleData.weight_kg[3]); femaleWeights97th.push(femaleData.weight_kg[4]); } else { femaleWeights3rd.push(null); femaleWeights15th.push(null); femaleWeights50th.push(null); femaleWeights85th.push(null); femaleWeights97th.push(null); } }); // Add current child's data point var currentWeightArr = []; var currentAgeArr = []; agesToChart.forEach(function() { currentWeightArr.push(null); currentAgeArr.push(null); }); // Fill with nulls var currentIndex = agesToChart.indexOf(currentAge); if (currentIndex === -1) { // If current age is not exactly on the labels, find nearest and interpolate or add point // For simplicity, if not exact, we won't plot the single point precisely on the line chart itself, // but the percentile calculation is done separately. // A more advanced chart would interpolate lines or add scatter points. } else { currentWeightArr[currentIndex] = currentWeight; currentAgeArr[currentIndex] = currentAge; } chartInstance = new Chart(ctx, { type: 'line', data: { labels: labels, datasets: [ { label: 'Male – 3rd %ile', data: maleWeights3rd, borderColor: 'rgba(255, 99, 132, 0.5)', backgroundColor: 'rgba(255, 99, 132, 0.1)', fill: false, tension: 0.1, pointRadius: 0 }, { label: 'Male – 15th %ile', data: maleWeights15th, borderColor: 'rgba(255, 159, 64, 0.5)', backgroundColor: 'rgba(255, 159, 64, 0.1)', fill: false, tension: 0.1, pointRadius: 0 }, { label: 'Male – 50th %ile (Median)', data: maleWeights50th, borderColor: 'rgba(75, 192, 192, 0.8)', backgroundColor: 'rgba(75, 192, 192, 0.2)', fill: false, tension: 0.1, pointRadius: 3 }, { label: 'Male – 85th %ile', data: maleWeights85th, borderColor: 'rgba(153, 102, 255, 0.5)', backgroundColor: 'rgba(153, 102, 255, 0.1)', fill: false, tension: 0.1, pointRadius: 0 }, { label: 'Male – 97th %ile', data: maleWeights97th, borderColor: 'rgba(201, 203, 207, 0.5)', backgroundColor: 'rgba(201, 203, 207, 0.1)', fill: false, tension: 0.1, pointRadius: 0 }, // Female lines (can be styled differently or omitted if focusing on one gender) { label: 'Female – 50th %ile (Median)', data: femaleWeights50th, borderColor: 'rgba(255, 0, 0, 0.8)', // Different color for female median backgroundColor: 'rgba(255, 0, 0, 0.2)', fill: false, tension: 0.1, pointRadius: 3 }, // Optionally add other female percentiles if needed ] }, options: { responsive: true, maintainAspectRatio: true, plugins: { legend: { position: 'top', }, title: { display: true, text: 'WHO Weight-for-Age Percentiles (kg)' } }, scales: { x: { title: { display: true, text: 'Age (Months)' } }, y: { title: { display: true, text: 'Weight (kg)' }, beginAtZero: false // Start y-axis appropriately } } } }); } // Initialize on page load window.onload = function() { // Ensure Chart.js is loaded before trying to use it if (typeof Chart === 'undefined') { console.error("Chart.js library not found. Please include it in your HTML."); // Optionally load it dynamically or show an error message return; } resetCalculator(); // Calculate initial values };

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