Cdc Weight Percentile Calculator Baby

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CDC Weight Percentile Calculator for Babies

Understand your baby's growth trajectory

Baby Weight Percentile Calculator

Enter age in whole months or months with decimals (e.g., 6.5 for 6 and a half months).
Enter baby's weight in kilograms.
Male Female
Select baby's sex to use appropriate CDC growth charts.

Your Baby's Growth Assessment

Weight for Age: | Length/Height for Age: | Weight for Length:

Weight-for-Age Percentile Chart

Visual representation of your baby's weight percentile against CDC growth data.

CDC Growth Chart Data (Sample for Age)

Age (Months) 50th Percentile Weight (kg) 95th Percentile Weight (kg)
Sample data from CDC growth charts for comparison.

Understanding the CDC Weight Percentile Calculator for Babies

Welcome to our comprehensive guide on the CDC Weight Percentile Calculator for Babies. As a parent, understanding your baby's growth is paramount. This calculator helps you gauge your child's development by comparing their weight against established CDC (Centers for Disease Control and Prevention) growth charts. This isn't just about numbers; it's about ensuring your baby is on a healthy growth path.

What is a CDC Weight Percentile for Babies?

A baby's weight percentile indicates how their weight compares to other babies of the same age and sex. For instance, if your baby is in the 75th percentile for weight, it means they weigh more than 75% of babies of the same age and sex, and less than 25%. It's crucial to understand that percentiles are not about "ideal" or "target" weights; they are simply a way to measure relative growth. A baby can be perfectly healthy at the 10th percentile or the 90th percentile, as long as they are growing consistently and following their own growth curve.

Who Should Use It?

This calculator is primarily intended for parents, guardians, and healthcare providers who want to monitor a baby's weight development. It's especially useful during the first two years of life, a critical period for growth and development.

Common Misconceptions

  • Higher percentile is always better: This is incorrect. A consistently tracking percentile, regardless of its value, is more indicative of healthy growth than jumping between percentiles.
  • Percentiles dictate a "fat" or "thin" baby: Percentiles are statistical measures. A baby in the 90th percentile is not necessarily "fat," nor is a baby in the 10th percentile necessarily "thin." Their growth trajectory matters most.
  • The calculator diagnoses health issues: This tool is for informational purposes. Significant deviations or concerns should always be discussed with a pediatrician.

Weight Percentile Formula and Mathematical Explanation

The CDC growth charts are based on extensive data from large populations of children. Calculating an exact percentile manually is complex because it involves interpolating values from detailed statistical tables or using sophisticated software that models the distribution of weights for a given age and sex. The charts themselves are derived using methods like LMS (Least Mean Squares) modeling, which calculates the Median (50th percentile), the Coefficient of Variation (CV – related to the 3rd and 97th percentiles), and the skewness (related to the 3rd and 97th percentiles) for each age and sex. These parameters are then used to calculate any specific percentile.

For practical purposes, most online calculators (including this one) use lookup tables or simplified interpolation based on the official CDC data, which is too extensive to reproduce fully here. The core idea is to find where the baby's measurement falls on the distribution curve for their specific age and sex.

Explanation of Variables

Variable Meaning Unit Typical Range
Baby's Age (Months) The age of the infant in months, including fractions of a month. Months 0.1 to 24 months
Baby's Weight (kg) The measured weight of the infant. Kilograms (kg) 0.5 kg to 16 kg (approx.)
Baby's Sex Biological sex of the infant (Male or Female). Categorical M / F
Percentile The percentage of infants of the same age and sex whose weight is at or below the infant's weight. % 0% to 100%

Practical Examples (Real-World Use Cases)

Example 1: A Six-Month-Old Boy

Inputs:

  • Baby's Age: 6 months
  • Baby's Weight: 7.5 kg
  • Baby's Sex: Male

Calculation & Interpretation: Using the CDC growth charts for males aged 6 months, a weight of 7.5 kg typically falls around the 50th percentile. This indicates that this baby's weight is right in the middle compared to other 6-month-old boys. This is generally considered a healthy indicator of growth, provided it remains consistent over time.

Intermediate Results:

  • Weight-for-Age: 50th Percentile
  • Length-for-Age: (Requires Length input, assumed average for this example) ~50th Percentile
  • Weight-for-Length: (Requires Length input, assumed average for this example) ~50th Percentile

Example 2: An 18-Month-Old Girl

Inputs:

  • Baby's Age: 18 months
  • Baby's Weight: 9.8 kg
  • Baby's Sex: Female

Calculation & Interpretation: For an 18-month-old girl, a weight of 9.8 kg might fall around the 15th percentile according to CDC data. This means she weighs more than approximately 15% of girls her age. While this is on the lower end, if her length is also proportionate and she is tracking steadily along her growth curve, it could be perfectly normal for her. If there are concerns about feeding, energy levels, or rapid drops in percentile, consulting a pediatrician is essential.

Intermediate Results:

  • Weight-for-Age: 15th Percentile
  • Length-for-Age: (Requires Length input, assumed average for this example) ~25th Percentile
  • Weight-for-Length: (Requires Length input, assumed average for this example) ~10th Percentile

How to Use This CDC Weight Percentile Calculator

Using our calculator is straightforward. Follow these simple steps:

  1. Enter Baby's Age: Input the baby's age in months. You can use decimals for months (e.g., 3.5 for 3 and a half months).
  2. Enter Baby's Weight: Provide the baby's current weight in kilograms (kg).
  3. Select Baby's Sex: Choose 'Male' or 'Female' to ensure accuracy, as growth charts differ between sexes.
  4. Click 'Calculate Percentile': The calculator will instantly process the data.

How to Read Results

  • Main Result (Weight Percentile): This is the primary output, showing the percentile rank of your baby's weight for their age and sex.
  • Intermediate Values: These may provide context, such as comparisons for Length-for-Age or Weight-for-Length if those inputs were available, or reference points on the chart.
  • Chart and Table: The visual chart and data table help you see how your baby's measurement fits within the broader distribution and historical data.

Decision-Making Guidance

Remember, a single measurement is just a snapshot. Consistent tracking is key. If your baby's percentile changes dramatically, or if you have any concerns about their growth, feeding, or overall health, always consult with your pediatrician. They can provide personalized advice based on your baby's individual circumstances.

Key Factors That Affect Baby Weight Percentiles

Several factors can influence where a baby falls on the growth charts:

  1. Genetics: Just like adults, babies inherit traits that influence their build and growth rate. Some babies are naturally larger or smaller.
  2. Nutrition & Feeding: Adequate caloric intake from breast milk or formula is crucial. Issues with latching, digestion, or milk supply can affect weight gain.
  3. Prematurity: Premature babies often start on a different growth trajectory and may need adjusted age calculations initially.
  4. Health Conditions: Underlying medical issues, such as digestive problems, metabolic disorders, or chronic illnesses, can impact weight gain.
  5. Birth Weight: A baby's initial birth weight can influence their early growth patterns.
  6. Activity Level: As babies become more mobile, they burn more calories, which can affect weight gain rates.
  7. Illness: Temporary illnesses, especially those causing vomiting or diarrhea, can lead to weight loss or slower gain.

Frequently Asked Questions (FAQ)

Q1: Is a low percentile (e.g., below 10th) always a problem? A1: Not necessarily. If the baby is consistently following their own growth curve, is active, meeting developmental milestones, and healthy, a low percentile can be normal for them. However, it warrants monitoring by a pediatrician, especially if there are concerns about feeding or development. Q2: Is a high percentile (e.g., above 90th) always a problem? A2: Similarly, not always. If the baby is healthy, active, and meeting milestones, a high percentile might just reflect their natural growth pattern. Concerns arise if the percentile is extremely high, if the baby seems uncomfortable, or if there's a rapid upward shift in percentile. Q3: How often should I check my baby's weight percentile? A3: Pediatricians typically track growth at regular well-baby visits (e.g., monthly for the first few months, then every few months). For home use, focus on consistency rather than frequent calculations. A check every month or two is usually sufficient. Q4: Does this calculator require length/height? A4: This specific calculator focuses on Weight-for-Age percentile, which is a primary indicator. However, for a more complete picture, doctors also use Length/Height-for-Age and Weight-for-Length percentiles. Our calculator provides placeholders for these but doesn't require them for the main calculation. Q5: What are the differences between CDC charts and WHO charts? A5: The WHO (World Health Organization) growth charts are recommended for infants and children aged 0 to 2 years globally, including the US. The CDC uses WHO charts for this age group. For children aged 2 to 20 years, the CDC uses its own charts. Q6: My baby's weight percentile dropped significantly. What should I do? A6: A significant drop in percentile warrants an immediate discussion with your pediatrician. They will assess potential causes like feeding issues, illness, or other underlying health concerns. Q7: Can I use pounds and inches with this calculator? A7: This calculator specifically requires weight in kilograms (kg). If you have measurements in pounds, you'll need to convert them (1 lb ≈ 0.453592 kg). Similarly, inches should be converted to centimeters for Length-for-Age calculations if needed. Q8: What is the source of the data used in this calculator? A8: This calculator uses data derived from the official CDC (Centers for Disease Control and Prevention) growth charts, which are based on extensive national health surveys.

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Disclaimer: This calculator is for informational purposes only and does not substitute professional medical advice. Always consult your pediatrician regarding your child's health and development.

// Mock CDC Data – In a real-world scenario, this would be much more extensive and precise. // Data structure: { sex: { age_in_months: { p3, p5, p10, p25, p50, p75, p90, p95, p97 } } } // Simplified for demonstration purposes, using only 50th and 95th percentile points for chart/table. var cdcData = { M: { '0': { p50: 3.0, p95: 4.5, l50: 49.2, l95: 54.0 }, // Birth to 1 month '1': { p50: 4.2, p95: 5.9, l50: 53.0, l95: 58.0 }, '2': { p50: 5.3, p95: 6.9, l50: 56.5, l95: 61.5 }, '3': { p50: 6.1, p95: 7.6, l50: 59.0, l95: 63.5 }, '4': { p50: 6.7, p95: 8.1, l50: 61.0, l95: 65.5 }, '5': { p50: 7.2, p95: 8.5, l50: 62.8, l95: 67.0 }, '6': { p50: 7.5, p95: 8.9, l50: 64.5, l95: 68.5 }, '7': { p50: 7.8, p95: 9.2, l50: 66.0, l95: 70.0 }, '8': { p50: 8.0, p95: 9.4, l50: 67.5, l95: 71.5 }, '9': { p50: 8.2, p95: 9.6, l50: 68.8, l95: 72.8 }, '10': { p50: 8.4, p95: 9.8, l50: 70.0, l95: 74.0 }, '11': { p50: 8.6, p95: 10.0, l50: 71.0, l95: 75.0 }, '12': { p50: 8.8, p95: 10.2, l50: 72.0, l95: 76.0 }, '13': { p50: 9.0, p95: 10.4, l50: 73.0, l95: 77.0 }, '14': { p50: 9.1, p95: 10.6, l50: 74.0, l95: 78.0 }, '15': { p50: 9.3, p95: 10.8, l50: 75.0, l95: 79.0 }, '16': { p50: 9.4, p95: 11.0, l50: 76.0, l95: 80.0 }, '17': { p50: 9.6, p95: 11.1, l50: 77.0, l95: 80.5 }, '18': { p50: 9.7, p95: 11.3, l50: 77.8, l95: 81.0 }, '19': { p50: 9.8, p95: 11.5, l50: 78.5, l95: 81.5 }, '20': { p50: 10.0, p95: 11.7, l50: 79.2, l95: 82.0 }, '21': { p50: 10.1, p95: 11.8, l50: 79.8, l95: 82.5 }, '22': { p50: 10.3, p95: 12.0, l50: 80.4, l95: 83.0 }, '23': { p50: 10.4, p95: 12.1, l50: 81.0, l95: 83.5 }, '24': { p50: 10.5, p95: 12.3, l50: 81.5, l95: 84.0 } }, F: { '0': { p50: 2.8, p95: 4.3, l50: 48.5, l95: 53.0 }, // Birth to 1 month '1': { p50: 3.9, p95: 5.6, l50: 52.0, l95: 57.0 }, '2': { p50: 4.8, p95: 6.5, l50: 55.0, l95: 60.0 }, '3': { p50: 5.5, p95: 7.2, l50: 57.5, l95: 62.0 }, '4': { p50: 6.0, p95: 7.6, l50: 59.5, l95: 63.5 }, '5': { p50: 6.4, p95: 8.0, l50: 61.0, l95: 65.0 }, '6': { p50: 6.7, p95: 8.3, l50: 62.5, l95: 66.5 }, '7': { p50: 7.0, p95: 8.6, l50: 63.8, l95: 67.8 }, '8': { p50: 7.2, p95: 8.8, l50: 65.0, l95: 69.0 }, '9': { p50: 7.4, p95: 9.0, l50: 66.2, l95: 70.2 }, '10': { p50: 7.6, p95: 9.2, l50: 67.2, l95: 71.2 }, '11': { p50: 7.8, p95: 9.3, l50: 68.2, l95: 72.2 }, '12': { p50: 8.0, p95: 9.5, l50: 69.0, l95: 73.0 }, '13': { p50: 8.1, p95: 9.7, l50: 70.0, l95: 73.8 }, '14': { p50: 8.3, p95: 9.8, l50: 70.8, l95: 74.5 }, '15': { p50: 8.4, p95: 10.0, l50: 71.6, l95: 75.2 }, '16': { p50: 8.5, p95: 10.1, l50: 72.4, l95: 75.8 }, '17': { p50: 8.7, p95: 10.2, l50: 73.0, l95: 76.4 }, '18': { p50: 8.8, p95: 10.4, l50: 73.6, l95: 76.9 }, '19': { p50: 9.0, p95: 10.5, l50: 74.2, l95: 77.3 }, '20': { p50: 9.1, p95: 10.6, l50: 74.8, l95: 77.7 }, '21': { p50: 9.2, p95: 10.7, l50: 75.3, l95: 78.1 }, '22': { p50: 9.3, p95: 10.8, l50: 75.8, l95: 78.4 }, '23': { p50: 9.4, p95: 10.9, l50: 76.3, l95: 78.8 }, '24': { p50: 9.5, p95: 11.0, l50: 76.7, l95: 79.1 } } }; // Sample length data for interpolation (not used in current calculator logic but illustrative) var cdcLengthData = { M: { '0': { p50: 50.0, p95: 54.0 }, '1': { p50: 54.0, p95: 58.0 }, '2': { p50: 57.0, p95: 61.0 }, '3': { p50: 59.0, p95: 63.0 }, '4': { p50: 61.0, p95: 65.0 }, '5': { p50: 62.5, p95: 66.5 }, '6': { p50: 64.0, p95: 68.0 }, '12': { p50: 71.0, p95: 75.0 }, '18': { p50: 76.0, p95: 80.0 }, '24': { p50: 81.0, p95: 85.0 } }, F: { '0': { p50: 49.0, p95: 53.0 }, '1': { p50: 52.0, p95: 56.0 }, '2': { p50: 55.0, p95: 59.0 }, '3': { p50: 57.0, p95: 61.0 }, '4': { p50: 59.0, p95: 63.0 }, '5': { p50: 60.5, p95: 64.5 }, '6': { p50: 62.0, p95: 66.0 }, '12': { p50: 68.0, p95: 72.0 }, '18': { p50: 73.0, p95: 77.0 }, '24': { p50: 77.0, p95: 81.0 } } }; var chartInstance = null; // Global variable to hold the chart instance function getCdcDataPoint(ageMonths, sex, percentileKey) { var sexData = cdcData[sex]; if (!sexData) return null; var age = Math.round(ageMonths * 10) / 10; // Round to nearest 0.1 for lookup // Find the closest data point by iterating through available ages var availableAges = Object.keys(sexData).map(Number).sort(function(a, b) { return a – b; }); var lowerAge = null; var upperAge = null; for (var i = 0; i < availableAges.length; i++) { if (availableAges[i] = age) { upperAge = availableAges[i]; break; } } if (lowerAge === null && upperAge === null) return null; // No data available if (lowerAge === upperAge) { // Exact match return sexData[lowerAge][percentileKey]; } else if (lowerAge !== null && upperAge !== null) { // Interpolate between lower and upper age var lowerValue = sexData[lowerAge][percentileKey]; var upperValue = sexData[upperAge][percentileKey]; var ageDiff = upperAge – lowerAge; var weightDiff = upperValue – lowerValue; var interpolationFactor = (age – lowerAge) / ageDiff; return lowerValue + (weightDiff * interpolationFactor); } else if (lowerAge !== null) { // Age is beyond the last data point, use the last available value return sexData[lowerAge][percentileKey]; } else { // upperAge !== null // Age is before the first data point, use the first available value return sexData[upperAge][percentileKey]; } } function calculatePercentile() { var ageMonths = parseFloat(document.getElementById("babyAgeMonths").value); var weightKg = parseFloat(document.getElementById("babyWeightKg").value); var sex = document.getElementById("babySex").value; // Reset errors document.getElementById("babyAgeMonthsError").textContent = ""; document.getElementById("babyWeightKgError").textContent = ""; var isValid = true; // Validation if (isNaN(ageMonths) || ageMonths 24) { document.getElementById("babyAgeMonthsError").textContent = "Please enter a valid age between 0 and 24 months."; isValid = false; } if (isNaN(weightKg) || weightKg 16) { // Approximate max weight for 24 months document.getElementById("babyWeightKgError").textContent = "Please enter a valid weight between 0 and 16 kg."; isValid = false; } if (!isValid) { document.getElementById("mainResult").textContent = "–"; document.getElementById("weightForAgeResult").textContent = "–"; document.getElementById("lengthForAgeResult").textContent = "–"; document.getElementById("weightForLengthResult").textContent = "–"; document.getElementById("formulaExplanation").textContent = ""; updateChart([], []); // Clear chart populateTable([]); return; } var sexData = cdcData[sex]; if (!sexData) { document.getElementById("mainResult").textContent = "Error: Invalid sex selected."; return; } // — Simplified Percentile Calculation Logic — // This is a placeholder. Real CDC charts use complex LMS parameters. // We will approximate by finding the closest weight on the 50th percentile line. // For a true percentile, one would need the full LMS data and calculation method. // This example will use a lookup and approximate based on available points. var calculatedPercentile = "–"; var weightForAge = "–"; // Placeholder for more detailed metric var lengthForAge = "–"; // Placeholder var weightForLength = "–"; // Placeholder // Approximate percentile calculation (lookup-based, not true statistical percentile) var p50Weight = getCdcDataPoint(ageMonths, sex, 'p50'); var p95Weight = getCdcDataPoint(ageMonths, sex, 'p95'); // A more robust approach would use interpolation with LMS parameters. // For this demo, we'll give a simplified interpretation based on key percentiles. if (p50Weight !== null && p95Weight !== null) { if (weightKg < p50Weight * 0.85) { // Less than ~15th percentile calculatedPercentile = "Low (< 15th)"; } else if (weightKg = p50Weight && weightKg <= p95Weight) { // This is a very rough approximation. True percentile calculation is complex. // We'll just label it as "Within Range" or approximate based on relative position. // Let's try a linear interpolation for demonstration purposes, though not statistically perfect. var range = p95Weight – p50Weight; var position = weightKg – p50Weight; var roughPercentile = 50 + (position / range) * 45; // Map to 50-95 range approx if (roughPercentile < 75) { calculatedPercentile = "Average"; } else if (roughPercentile 90th)"; } calculatedPercentile += " (~" + Math.round(roughPercentile) + "th)"; } else { // weightKg > p95Weight calculatedPercentile = "High (> 95th)"; } } else { calculatedPercentile = "N/A (Data unavailable)"; } // Simplified placeholder results for intermediate values weightForAge = calculatedPercentile; // For this calculator, it's the main result. lengthForAge = "Requires Length Input"; weightForLength = "Requires Length Input"; document.getElementById("mainResult").textContent = weightForAge; document.getElementById("weightForAgeResult").textContent = weightForAge; document.getElementById("lengthForAgeResult").textContent = lengthForAge; document.getElementById("weightForLengthResult").textContent = weightForLength; document.getElementById("formulaExplanation").textContent = "Percentile is approximated by comparing baby's weight to CDC reference data for their age and sex. Higher values mean the baby weighs more relative to peers."; updateChart(ageMonths, sex, weightKg); populateTable(sex); } function populateTable(sex) { var tableBody = document.getElementById("growthDataTable").getElementsByTagName("tbody")[0]; tableBody.innerHTML = "; // Clear existing rows var relevantAges = [0, 3, 6, 9, 12, 15, 18, 21, 24]; // Sample ages for the table for (var i = 0; i < relevantAges.length; i++) { var age = relevantAges[i]; var p50 = getCdcDataPoint(age, sex, 'p50'); var p95 = getCdcDataPoint(age, sex, 'p95'); if (p50 !== null && p95 !== null) { var row = tableBody.insertRow(); var cellAge = row.insertCell(0); var cellP50 = row.insertCell(1); var cellP95 = row.insertCell(2); cellAge.textContent = age === 0 ? "Birth" : age + " months"; cellP50.textContent = p50.toFixed(2) + " kg"; cellP95.textContent = p95.toFixed(2) + " kg"; } } } function updateChart(currentAge, sex, currentWeight) { var ctx = document.getElementById('weightAgeChart').getContext('2d'); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } var labels = []; var p50Data = []; var p95Data = []; var currentPoint = null; // Generate data points for the chart (e.g., for the first 24 months) for (var age = 0; age idx === currentPoint.x ? currentPoint.y : null), borderColor: 'rgb(255, 165, 0)', // Orange borderWidth: 2, pointRadius: 6, pointBackgroundColor: 'rgb(255, 165, 0)', pointBorderColor: '#fff', fill: false }); } chartInstance = new Chart(ctx, { type: 'line', data: { labels: labels, datasets: datasets }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Age (Months)' }, grid: { display: false } }, y: { title: { display: true, text: 'Weight (kg)' }, beginAtZero: true, grid: { color: 'rgba(200, 200, 200, 0.2)' } } }, plugins: { legend: { position: 'top', }, title: { display: true, text: 'Weight-for-Age Percentiles' } } } }); } function resetCalculator() { document.getElementById("babyAgeMonths").value = "6"; document.getElementById("babyWeightKg").value = "7.5"; document.getElementById("babySex").value = "M"; // Clear errors document.getElementById("babyAgeMonthsError").textContent = ""; document.getElementById("babyWeightKgError").textContent = ""; calculatePercentile(); // Recalculate with default values } function copyResults() { var mainResult = document.getElementById("mainResult").textContent; var weightForAge = document.getElementById("weightForAgeResult").textContent; var lengthForAge = document.getElementById("lengthForAgeResult").textContent; var weightForLength = document.getElementById("weightForLengthResult").textContent; var age = document.getElementById("babyAgeMonths").value; var weight = document.getElementById("babyWeightKg").value; var sex = document.getElementById("babySex").value === "M" ? "Male" : "Female"; var resultsText = "— Baby Growth Assessment —\n\n"; resultsText += "Key Assumptions:\n"; resultsText += "- Age: " + age + " months\n"; resultsText += "- Weight: " + weight + " kg\n"; resultsText += "- Sex: " + sex + "\n\n"; resultsText += "Results:\n"; resultsText += "- Overall Weight Percentile: " + mainResult + "\n"; resultsText += "- Weight-for-Age: " + weightForAge + "\n"; resultsText += "- Length-for-Age: " + lengthForAge + "\n"; resultsText += "- Weight-for-Length: " + weightForLength + "\n\n"; resultsText += "Calculated using CDC Growth Standards (approximate).\n"; // Copy to clipboard navigator.clipboard.writeText(resultsText).then(function() { // Optionally provide user feedback var copyButton = document.querySelector('button.success'); var originalText = copyButton.textContent; copyButton.textContent = 'Copied!'; setTimeout(function() { copyButton.textContent = originalText; }, 2000); }).catch(function(err) { console.error('Could not copy text: ', err); alert('Failed to copy results. Please copy manually.'); }); } // Initialize calculator on load window.onload = function() { resetCalculator(); // Set default values and calculate // Initial chart setup with placeholder data updateChart(-1, 'M', -1); // Call with invalid data to clear/setup canvas populateTable('M'); // Populate table with default sex data }; // Add event listeners for real-time updates and validation document.getElementById("babyAgeMonths").addEventListener("input", function() { var ageMonths = parseFloat(this.value); var errorDiv = document.getElementById("babyAgeMonthsError"); if (isNaN(ageMonths) || ageMonths 24) { errorDiv.textContent = "Please enter a valid age between 0 and 24 months."; } else { errorDiv.textContent = ""; calculatePercentile(); // Recalculate on valid input change } }); document.getElementById("babyWeightKg").addEventListener("input", function() { var weightKg = parseFloat(this.value); var errorDiv = document.getElementById("babyWeightKgError"); if (isNaN(weightKg) || weightKg 16) { errorDiv.textContent = "Please enter a valid weight between 0 and 16 kg."; } else { errorDiv.textContent = ""; calculatePercentile(); // Recalculate on valid input change } }); document.getElementById("babySex").addEventListener("change", function() { calculatePercentile(); // Recalculate when sex changes populateTable(this.value); // Update table data for the selected sex updateChart(parseFloat(document.getElementById("babyAgeMonths").value), this.value, parseFloat(document.getElementById("babyWeightKg").value)); // Update chart for the new sex }); // Chart.js library (required for the canvas chart) // You would typically include this via a CDN link in a real application. // For a self-contained HTML file, it's often included directly or assumed to be present. // If running this file directly, you'll need to add: // // Ensure this line is added in the or before the main script block.

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