Baby Weight for Age Percentile Calculator

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Baby Weight for Age Percentile Calculator

Calculate Your Baby's Weight Percentile

Enter age in months (e.g., 3 for 3 months old).
Enter weight in pounds (lbs).
Boy Girl Select your baby's sex.

Your Baby's Growth Assessment

Weight for Age Z-score:

Weight Rank:

Growth Interpretation:

Formula Basis: Percentiles are derived from World Health Organization (WHO) growth standards. The Z-score is calculated using established statistical formulas, and then mapped to a percentile rank.

Weight-for-Age Data (Approximate WHO Standards)
Age (Months) 50th Percentile Weight (lbs) 3rd Percentile Weight (lbs) 97th Percentile Weight (lbs)
Baby's Weight vs. WHO Growth Standards

What is a Baby Weight for Age Percentile Calculator?

A baby weight for age percentile calculator is a tool designed to help parents, caregivers, and healthcare providers assess an infant's growth trajectory. It compares a baby's weight at a specific age to a large population of healthy infants of the same age and sex, determining where the baby falls on a standard growth curve. This percentile ranking provides a snapshot of the baby's growth relative to their peers, rather than an absolute measure of health. It's crucial to understand that percentiles are just one indicator; a baby's overall health, development, feeding habits, and parental guidance are equally, if not more, important.

Who should use it? Primarily, parents and guardians seeking to understand their baby's growth patterns. Pediatricians and healthcare professionals also use these tools as part of routine well-baby check-ups. It's particularly useful for monitoring babies who may be experiencing feeding challenges, prematurity, or other conditions that could affect growth.

Common misconceptions include believing that a low percentile always means something is wrong, or that a high percentile always indicates a baby is overweight. In reality, a baby consistently tracking along a specific percentile curve is often considered healthy. Rapid jumps or drops between percentiles, or consistently falling outside the typical range (below 3rd or above 97th percentile), are more likely to warrant a discussion with a healthcare provider. This calculator is a guide, not a diagnostic tool.

Baby Weight for Age Percentile Formula and Mathematical Explanation

The core of this calculator relies on comparing the baby's measurements against established growth standards, typically those set by the World Health Organization (WHO) for breastfed infants. The process involves several statistical steps:

  1. Data Source: We use reference data (weight-for-age charts) from the WHO, which are based on large studies of healthy infants. These charts provide expected weight ranges for boys and girls at different ages.
  2. Z-Score Calculation: The most precise way to determine a baby's position is by calculating their Z-score. The Z-score measures how many standard deviations a baby's weight is away from the median (50th percentile) weight for their age and sex. The formula is generally:

    Z = (W - M) / SD

    Where:
    • W is the baby's measured weight.
    • M is the median (50th percentile) weight for the baby's age and sex from the reference data.
    • SD is the standard deviation of weight for the baby's age and sex from the reference data.
    The SD and M values are complex and change with age, often requiring interpolation from standard WHO tables or fitting to LMS (Lambda, Mu, Sigma) curves. For simplicity in this calculator, we approximate by using reference points.
  3. Percentile Mapping: Once the Z-score is calculated, it's mapped to a percentile. Standard statistical tables (or functions) are used to find the percentile corresponding to that Z-score. For example, a Z-score of 0 corresponds to the 50th percentile, a Z-score of approximately 1.88 corresponds to the 97th percentile, and a Z-score of approximately -1.88 corresponds to the 3rd percentile.

Variables Used:

Key Variables in Growth Assessment
Variable Meaning Unit Typical Range (for context)
Baby's Age The age of the infant since birth. Months 0 – 24 months (typical focus)
Baby's Weight The current measured weight of the infant. Pounds (lbs) Varies greatly by age and sex.
Baby's Sex Biological sex of the infant, used for sex-specific growth charts. Categorical (Boy/Girl) N/A
Median Weight (M) The weight at the 50th percentile for the baby's age and sex. Pounds (lbs) Age-dependent
Standard Deviation (SD) A measure of the typical variation in weight around the median for the baby's age and sex. Pounds (lbs) Age-dependent
Z-Score Number of standard deviations the baby's weight is from the median. Unitless Typically between -3 and +3 for healthy growth.
Percentile The percentage of infants of the same age and sex whose weight is at or below the baby's weight. % 0 – 100%

Practical Examples (Real-World Use Cases)

Understanding how this calculator works in practice can demystify infant growth assessment.

Example 1: A Growing Boy

  • Inputs: Baby's Age = 6 months, Baby's Weight = 17.5 lbs, Baby's Sex = Boy.
  • Calculation: The calculator references WHO data for 6-month-old boys. Let's assume the median weight (50th percentile) is around 17.0 lbs, and the standard deviation is approximately 1.5 lbs.
    Z-Score = (17.5 – 17.0) / 1.5 = 0.5 / 1.5 ≈ 0.33
  • Output:
    • Primary Result: Approximately 63rd Percentile
    • Weight for Age Z-score: +0.33
    • Weight Rank: Above median, but well within the healthy range.
    • Growth Interpretation: Healthy growth, weighing more than 63% of boys his age.
  • Interpretation: This baby is growing well and is slightly above the average weight for his age and sex. This is generally considered positive, indicating adequate nutrition and healthy development.

Example 2: A Smaller Baby Girl

  • Inputs: Baby's Age = 12 months, Baby's Weight = 19.0 lbs, Baby's Sex = Girl.
  • Calculation: Using WHO data for 12-month-old girls. Assume the median weight is around 20.5 lbs, and the standard deviation is approximately 2.0 lbs.
    Z-Score = (19.0 – 20.5) / 2.0 = -1.5 / 2.0 = -0.75
  • Output:
    • Primary Result: Approximately 23rd Percentile
    • Weight for Age Z-score: -0.75
    • Weight Rank: Below median, but within the typical range.
    • Growth Interpretation: Healthy growth, weighing more than 23% of girls her age.
  • Interpretation: This baby girl is on the smaller side compared to her peers but is still tracking within the normal growth parameters (between the 3rd and 97th percentiles). Consistency in her growth curve is more important than the specific percentile number.

How to Use This Baby Weight for Age Percentile Calculator

Using the calculator is straightforward and can provide valuable insights into your baby's growth.

  1. Step 1: Gather Information
    • Know your baby's exact age in months.
    • Have your baby's current weight measured accurately, preferably in pounds (lbs).
    • Know your baby's sex (Boy or Girl).
  2. Step 2: Input Data
    • Enter the baby's age in months into the "Baby's Age" field.
    • Enter the baby's weight in pounds into the "Baby's Weight" field.
    • Select the correct sex from the dropdown menu.
  3. Step 3: Calculate

    Click the "Calculate Percentile" button. The calculator will process your inputs using WHO growth standards.

  4. Step 4: Read Results

    The results will display:

    • Primary Result (Percentile): The main indicator, showing where your baby's weight falls relative to other babies of the same age and sex.
    • Weight for Age Z-score: A statistical measure indicating how many standard deviations your baby's weight is from the average.
    • Weight Rank: A qualitative interpretation of the percentile (e.g., "Above Average," "Within Healthy Range").
    • Growth Interpretation: A brief summary of what the percentile means for your baby's growth status.
    • Data Table & Chart: Visualizations showing how your baby's weight compares to key WHO reference points (3rd, 50th, 97th percentiles).
  5. Step 5: Decision-Making Guidance
    • Consistent Growth: If your baby is consistently following a percentile curve (even if it's low or high), this often indicates healthy, appropriate growth for your individual child.
    • Sudden Changes: A sudden significant jump or drop in percentile might warrant a discussion with your pediatrician. This could indicate a change in feeding, illness, or other factors affecting growth.
    • Outside Typical Ranges: Percentiles below the 3rd or above the 97th are considered outside the typical range and should be discussed with a healthcare professional to rule out any underlying issues.
    • Consult Professionals: Always remember this calculator is a guide. Consult your pediatrician or a healthcare provider for personalized advice regarding your baby's health and growth.
  6. Reset and Copy: Use the "Reset" button to clear the fields and start over. Use the "Copy Results" button to save or share the calculated information.

Key Factors That Affect Baby Weight for Age Results

While the calculator provides a standardized comparison, several real-world factors influence a baby's weight and how they grow:

  1. Genetics: Just like adults, babies inherit genetic predispositions for body size and frame. A baby from taller or larger parents might naturally trend higher on growth charts.
  2. Feeding Method & Intake: Breast milk, formula, and solid food intake significantly impact weight gain. Adequate caloric and nutrient intake is essential. Issues like latch problems, low milk supply, or picky eating can affect weight.
  3. Prematurity: Premature babies often have different growth trajectories. While they may eventually catch up, their early growth charts are often adjusted based on their corrected age.
  4. Health Conditions: Underlying medical issues, such as digestive problems (e.g., reflux, malabsorption), metabolic disorders, or chronic illnesses, can affect a baby's ability to gain weight appropriately.
  5. Activity Level: As babies become more mobile, they burn more calories. Increased crawling, walking, and general play can influence weight gain patterns, although this is more significant in toddlers than very young infants.
  6. Metabolism: Individual metabolic rates vary. Some babies naturally burn calories faster than others, influencing their weight gain speed.
  7. Birth Weight & Gestational Age: A baby born significantly underweight or premature will start on a different growth path than a full-term, average-birth-weight baby.
  8. Illness and Infections: Short-term illnesses, like common colds or stomach bugs, can temporarily slow weight gain or even cause a slight weight loss due to decreased appetite or increased metabolic demands.

Frequently Asked Questions (FAQ)

Is my baby considered "overweight" if they are above the 97th percentile?
Being above the 97th percentile indicates the baby is larger than 97% of infants of the same age and sex. While it's outside the typical range, it doesn't automatically mean "overweight" in the adult sense. It's a flag for healthcare providers to assess overall health, feeding, and development.
What if my baby drops a percentile line suddenly?
A sudden drop might suggest a change in growth rate. It's important to consider recent events like illness, changes in feeding, or developmental leaps. Discussing this with your pediatrician is recommended to understand the cause.
Is it bad if my baby stays consistently below the 50th percentile?
Not necessarily. Consistent growth along a specific percentile curve, even if it's below the 50th, is often a sign of healthy, appropriate development for that child. The key is consistency and overall well-being.
Does this calculator work for premature babies?
This calculator uses standard WHO growth charts, which are typically for full-term infants. For premature babies, it's best to use growth charts specifically designed for preterm infants, often using "corrected age" (age from the due date), and to consult with a pediatrician.
Are the WHO growth charts the only standard?
The WHO charts are the international standard for infants from birth to 2 years, recommended by organizations like the American Academy of Pediatrics (AAP) for assessing growth. Other national or local charts might exist but WHO is globally recognized.
How often should I check my baby's weight percentile?
Regular check-ups with your pediatrician (typically every few months in the first year) are the best way to monitor growth. You can use this calculator between visits for informational purposes, but professional assessment is key.
What is the difference between weight-for-age and other growth charts?
Growth charts typically include weight-for-age, length-for-age, head circumference-for-age, and BMI-for-age. Weight-for-age specifically tracks weight relative to age. Length-for-age tracks length relative to age. BMI-for-age is used for older children (usually starting at age 2) to assess body composition.
Can I use this calculator for toddlers?
This calculator is most accurate for infants up to 24 months. For older toddlers, BMI-for-age charts become a more appropriate tool for assessing healthy weight status, as children's growth patterns change significantly after the first two years.

Related Tools and Internal Resources

© document.write(new Date().getFullYear()); Your Website Name. All rights reserved. This calculator is for informational purposes only and does not constitute medical advice. Consult with a qualified healthcare provider for any health concerns.

// WHO growth data approximations for Boys (weight in lbs) var whoDataBoys = [ { age: 0, p3: 5.5, p50: 6.7, p97: 8.8, sd: 1.1 }, { age: 1, p3: 7.0, p50: 8.5, p97: 11.0, sd: 1.3 }, { age: 2, p3: 8.3, p50: 10.0, p97: 12.8, sd: 1.4 }, { age: 3, p3: 9.5, p50: 11.3, p97: 14.2, sd: 1.5 }, { age: 4, p3: 10.5, p50: 12.4, p97: 15.5, sd: 1.6 }, { age: 5, p3: 11.4, p50: 13.3, p97: 16.6, sd: 1.7 }, { age: 6, p3: 12.2, p50: 14.1, p97: 17.5, sd: 1.7 }, { age: 7, p3: 12.9, p50: 14.8, p97: 18.3, sd: 1.8 }, { age: 8, p3: 13.6, p50: 15.5, p97: 19.1, sd: 1.8 }, { age: 9, p3: 14.2, p50: 16.1, p97: 19.8, sd: 1.8 }, { age: 10, p3: 14.7, p50: 16.6, p97: 20.4, sd: 1.9 }, { age: 11, p3: 15.1, p50: 17.0, p97: 21.0, sd: 1.9 }, { age: 12, p3: 15.5, p50: 17.3, p97: 21.5, sd: 1.9 }, { age: 15, p3: 17.2, p50: 19.0, p97: 23.0, sd: 2.0 }, { age: 18, p3: 18.7, p50: 20.5, p97: 24.5, sd: 2.1 }, { age: 21, p3: 20.0, p50: 21.8, p97: 25.7, sd: 2.2 }, { age: 24, p3: 21.1, p50: 22.9, p97: 26.7, sd: 2.2 } ]; // WHO growth data approximations for Girls (weight in lbs) var whoDataGirls = [ { age: 0, p3: 5.0, p50: 6.2, p97: 8.2, sd: 1.0 }, { age: 1, p3: 6.5, p50: 7.9, p97: 10.2, sd: 1.2 }, { age: 2, p3: 7.7, p50: 9.2, p97: 11.8, sd: 1.3 }, { age: 3, p3: 8.7, p50: 10.3, p97: 13.0, sd: 1.4 }, { age: 4, p3: 9.5, p50: 11.2, p97: 13.9, sd: 1.5 }, { age: 5, p3: 10.2, p50: 12.0, p97: 14.8, sd: 1.6 }, { age: 6, p3: 10.8, p50: 12.6, p97: 15.5, sd: 1.6 }, { age: 7, p3: 11.3, p50: 13.1, p97: 16.1, sd: 1.7 }, { age: 8, p3: 11.8, p50: 13.6, p97: 16.7, sd: 1.7 }, { age: 9, p3: 12.2, p50: 14.0, p97: 17.2, sd: 1.7 }, { age: 10, p3: 12.6, p50: 14.3, p97: 17.6, sd: 1.8 }, { age: 11, p3: 12.9, p50: 14.6, p97: 17.9, sd: 1.8 }, { age: 12, p3: 13.1, p50: 14.8, p97: 18.1, sd: 1.8 }, { age: 15, p3: 14.2, p50: 15.8, p97: 19.3, sd: 1.9 }, { age: 18, p3: 15.3, p50: 16.9, p97: 20.4, sd: 2.0 }, { age: 21, p3: 16.3, p50: 17.9, p97: 21.3, sd: 2.1 }, { age: 24, p3: 17.1, p50: 18.8, p97: 22.1, sd: 2.1 } ]; var chartInstance = null; function getGrowthData(age, sex) { var data = (sex === 'boy') ? whoDataBoys : whoDataGirls; // Find the closest data point or interpolate if necessary // For simplicity, we'll use the closest available age point var closestIndex = -1; var minDiff = Infinity; for (var i = 0; i < data.length; i++) { var diff = Math.abs(data[i].age – age); if (diff < minDiff) { minDiff = diff; closestIndex = i; } } if (closestIndex !== -1) { return data[closestIndex]; } return null; // Should not happen with typical age ranges } function calculatePercentile() { var babyAge = parseFloat(document.getElementById("babyAge").value); var babyWeight = parseFloat(document.getElementById("babyWeight").value); var babySex = document.getElementById("babySex").value; // Clear previous errors document.getElementById("babyAgeError").textContent = ""; document.getElementById("babyWeightError").textContent = ""; document.getElementById("babySexError").textContent = ""; // Should not error but for consistency var isValid = true; if (isNaN(babyAge) || babyAge 36) { // Allowing up to 36 months for broader context document.getElementById("babyAgeError").textContent = "Please enter a valid age in months (1-36)."; isValid = false; } if (isNaN(babyWeight) || babyWeight 70) { // Max weight approx 70 lbs for 24 months, generous limit document.getElementById("babyWeightError").textContent = "Please enter a valid weight in pounds (e.g., 15.5)."; isValid = false; } if (!isValid) { return; } var growthData = getGrowthData(babyAge, babySex); if (!growthData) { document.getElementById("primary-result").textContent = "N/A"; document.getElementById("zScore").textContent = "N/A"; document.getElementById("weightRank").textContent = "N/A"; document.getElementById("growthInterpretation").textContent = "Could not find data for this age."; return; } var medianWeight = growthData.p50; var sd = growthData.sd; var p3Weight = growthData.p3; var p97Weight = growthData.p97; // Calculate Z-score var zScore = (babyWeight – medianWeight) / sd; zScore = parseFloat(zScore.toFixed(2)); // Round to 2 decimal places // Approximate percentile from Z-score (simplified mapping) // This is a rough approximation. Precise mapping requires statistical functions. var percentile; if (zScore <= -2.0) percentile = 2.28; else if (zScore <= -1.88) percentile = 3; else if (zScore <= -1.64) percentile = 5; else if (zScore <= -1.28) percentile = 10; else if (zScore <= -1.04) percentile = 15; else if (zScore <= -0.67) percentile = 25; else if (zScore <= -0.52) percentile = 30; else if (zScore <= -0.25) percentile = 40; else if (zScore <= 0) percentile = 50; else if (zScore <= 0.25) percentile = 60; else if (zScore <= 0.52) percentile = 70; else if (zScore <= 0.67) percentile = 75; else if (zScore <= 1.04) percentile = 85; else if (zScore <= 1.28) percentile = 90; else if (zScore <= 1.64) percentile = 95; else if (zScore <= 1.88) percentile = 97; else if (zScore 2.0 percentile = parseFloat(percentile.toFixed(1)); var interpretation = ""; var weightRank = ""; if (percentile < 3) { interpretation = "Weight is below the typical range. Consult your pediatrician."; weightRank = "Significantly Below Average"; } else if (percentile < 10) { interpretation = "Weight is on the lower end of the typical range."; weightRank = "Low Average"; } else if (percentile <= 90) { interpretation = "Weight is within the typical growth range."; weightRank = "Average"; } else if (percentile < 97) { interpretation = "Weight is on the higher end of the typical range."; weightRank = "High Average"; } else { interpretation = "Weight is above the typical range. Consult your pediatrician."; weightRank = "Significantly Above Average"; } document.getElementById("primary-result").textContent = percentile + "th"; document.getElementById("zScore").textContent = zScore; document.getElementById("weightRank").textContent = weightRank; document.getElementById("growthInterpretation").textContent = interpretation; updateChart(babyAge, babyWeight, p3Weight, medianWeight, p97Weight); populateTable(babyAge, sex); } function populateTable(currentAge, sex) { var tableBody = document.getElementById("growthDataTable").getElementsByTagName("tbody")[0]; tableBody.innerHTML = ""; // Clear previous rows var data = (sex === 'boy') ? whoDataBoys : whoDataGirls; var agesToShow = [0, 3, 6, 9, 12, 18, 24]; // Show specific points agesToShow.forEach(function(age) { var rowData = getGrowthData(age, sex); if(rowData) { var row = tableBody.insertRow(); var cellAge = row.insertCell(0); var cellP50 = row.insertCell(1); var cellP3 = row.insertCell(2); var cellP97 = row.insertCell(3); cellAge.textContent = age === 0 ? "Birth" : age + " mo"; cellP50.textContent = rowData.p50.toFixed(1); cellP3.textContent = rowData.p3.toFixed(1); cellP97.textContent = rowData.p97.toFixed(1); // Highlight the row closest to the current baby's age if applicable if (Math.abs(age – currentAge) 0 && currentAge <= 24) { var rowData = getGrowthData(currentAge, sex); if (rowData) { var row = tableBody.insertRow(); var cellAge = row.insertCell(0); var cellP50 = row.insertCell(1); var cellP3 = row.insertCell(2); var cellP97 = row.insertCell(3); cellAge.textContent = currentAge + " mo (Current)"; cellP50.textContent = rowData.p50.toFixed(1); cellP3.textContent = rowData.p3.toFixed(1); cellP97.textContent = rowData.p97.toFixed(1); row.style.backgroundColor = "rgba(40, 167, 69, 0.1)"; // Highlight current age row row.style.fontWeight = "bold"; } } } function updateChart(babyAge, babyWeight, p3Weight, medianWeight, p97Weight) { var ctx = document.getElementById('growthChart').getContext('2d'); if (chartInstance) { chartInstance.destroy(); // Destroy previous chart instance } // Prepare chart data var chartAges = []; var chartP3 = []; var chartP50 = []; var chartP97 = []; var dataPoints = (document.getElementById("babySex").value === 'boy') ? whoDataBoys : whoDataGirls; // Plot points covering the range, up to 24 months for (var i = 0; i { // Find the index corresponding to babyAge var dataPointAge = parseInt(chartAges[index]); // Make sure it's a number if (!isNaN(dataPointAge) && dataPointAge === babyAge) { return babyWeight; } // Return null for other points, so the line is broken // Or, if babyAge is not exactly on a chart age, interpolate or find closest // For simplicity, let's find the closest index for babyAge var closestIndex = -1; var minAgeDiff = Infinity; for(var j=0; j<chartAges.length; j++) { var currentChartAge = parseInt(chartAges[j]); if (!isNaN(currentChartAge)) { var diff = Math.abs(currentChartAge – babyAge); if (diff < minAgeDiff) { minAgeDiff = diff; closestIndex = j; } } } if (closestIndex !== -1 && index === closestIndex) return babyWeight; return null; }), borderColor: 'rgb(40, 167, 69)', // Green color for baby's weight backgroundColor: 'rgba(40, 167, 69, 0.2)', fill: false, tension: 0.1, pointRadius: 6, // Make baby's point visible pointHoverRadius: 8 } ] }, options: { responsive: true, maintainAspectRatio: true, aspectRatio: 1.5, // Adjust for better height/width ratio scales: { x: { title: { display: true, text: 'Age (Months)' }, ticks: { autoSkip: false // Ensure all labels show if possible } }, y: { title: { display: true, text: 'Weight (lbs)' }, beginAtZero: false // Start y-axis appropriately } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y.toFixed(1) + ' lbs'; } return label; } } }, legend: { position: 'top', } } } }); } function resetCalculator() { document.getElementById("babyAge").value = ""; document.getElementById("babyWeight").value = ""; document.getElementById("babySex").value = "boy"; document.getElementById("primary-result").textContent = "–"; document.getElementById("zScore").textContent = "–"; document.getElementById("weightRank").textContent = "–"; document.getElementById("growthInterpretation").textContent = "–"; document.getElementById("babyAgeError").textContent = ""; document.getElementById("babyWeightError").textContent = ""; // Clear table and chart var tableBody = document.getElementById("growthDataTable").getElementsByTagName("tbody")[0]; tableBody.innerHTML = ""; var ctx = document.getElementById('growthChart').getContext('2d'); if (chartInstance) { chartInstance.destroy(); chartInstance = null; // Reset chart instance } // Re-initialize empty chart canvas if desired, or just leave it blank ctx.clearRect(0, 0, ctx.canvas.width, ctx.canvas.height); } function copyResults() { var primaryResult = document.getElementById("primary-result").textContent; var zScore = document.getElementById("zScore").textContent; var weightRank = document.getElementById("weightRank").textContent; var interpretation = document.getElementById("growthInterpretation").textContent; var babyAge = document.getElementById("babyAge").value; var babyWeight = document.getElementById("babyWeight").value; var babySex = document.getElementById("babySex").value; if (primaryResult === "–") { alert("No results to copy yet. Please calculate first."); return; } var resultsText = "Baby Weight Percentile Calculation Results:\n\n"; resultsText += "Baby's Age: " + (babyAge ? babyAge + " months" : "N/A") + "\n"; resultsText += "Baby's Weight: " + (babyWeight ? babyWeight + " lbs" : "N/A") + "\n"; resultsText += "Baby's Sex: " + (babySex === 'boy' ? "Boy" : "Girl") + "\n\n"; resultsText += "————————————\n"; resultsText += "Primary Result (Percentile): " + primaryResult + "\n"; resultsText += "Weight for Age Z-score: " + zScore + "\n"; resultsText += "Weight Rank: " + weightRank + "\n"; resultsText += "Growth Interpretation: " + interpretation + "\n"; resultsText += "\nAssumptions: Based on WHO growth standards."; try { navigator.clipboard.writeText(resultsText).then(function() { // Success feedback (optional) var copyButton = document.querySelector('.btn-copy'); copyButton.textContent = 'Copied!'; setTimeout(function() { copyButton.textContent = 'Copy Results'; }, 2000); }, function(err) { console.error('Failed to copy text: ', err); alert('Failed to copy results. Please copy manually.'); }); } catch (e) { console.error('Clipboard API not available or failed: ', e); alert('Failed to copy results. Please copy manually.'); } } // Initial setup for chart when page loads document.addEventListener('DOMContentLoaded', function() { // Populate table with initial values or placeholders if desired populateTable(0, 'boy'); // Call with default values to populate structure // Initialize chart with empty data or default state updateChart(0, 0, 5.5, 6.7, 8.8); // Example data for initialization });

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