Calculator Weight Percentile

Weight Percentile Calculator – Understand Growth and Development :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ccc; –shadow-color: 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: 1000px; margin: 20px auto; padding: 20px; background-color: #fff; box-shadow: var(–shadow-color) 0 4px 12px; border-radius: 8px; display: flex; flex-direction: column; align-items: center; } header { width: 100%; text-align: center; margin-bottom: 30px; border-bottom: 1px solid var(–border-color); padding-bottom: 20px; } header h1 { color: var(–primary-color); margin-bottom: 10px; } .calculator-wrapper { width: 100%; display: flex; flex-direction: column; align-items: center; margin-bottom: 40px; padding: 30px; border: 1px solid var(–border-color); border-radius: 8px; 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Weight Percentile Calculator

Understand your child's growth trajectory relative to peers.

Child Weight Percentile Calculator

Enter the child's age in full months.
Enter the child's weight in kilograms.
Male Female Select the child's sex.

Your Results

–%
— kg Median Weight
— kg 7th Percentile Weight
— kg 95th Percentile Weight

Percentile is calculated by comparing the child's weight to the median weight and the spread of weights for children of the same age and sex, using established growth chart data (e.g., WHO or CDC standards). A higher percentile means the child weighs more relative to others.

Weight Distribution Visualization

Comparing your child's weight to the 7th percentile, median (50th), and 95th percentile for the selected age and sex.
Sample Weight Data (kg) for Age: — Months, Sex: —
Percentile Weight (kg)
3rd
5th
7th
10th
25th
50th (Median)
75th
90th
95th
97th

What is Weight Percentile?

A weight percentile is a way to measure a child's weight in relation to other children of the same age and sex. It indicates the percentage of children who weigh less than or equal to a specific child. For instance, if a child is at the 75th weight percentile, it means they weigh more than 75% of children of the same age and sex, and 25% of children weigh more than them. This tool helps parents and healthcare providers assess a child's growth pattern and identify potential concerns. Understanding weight percentile is crucial for monitoring healthy development.

Who should use it? Parents, pediatricians, nurses, and any healthcare professional involved in child development monitoring should use weight percentile calculations. It's particularly useful for tracking growth from infancy through adolescence.

Common misconceptions:

  • Misconception 1: Higher is always better. A very high percentile isn't necessarily optimal; it could indicate overweight or obesity. Conversely, a very low percentile might suggest underweight or failure to thrive. The goal is a healthy, consistent growth trajectory.
  • Misconception 2: Percentile ranks are fixed. A child's percentile can change over time, especially during rapid growth spurts or developmental phases. What matters most is the pattern of growth on the growth chart.
  • Misconception 3: Percentiles are absolute measures of health. Percentiles are relative comparisons. A child can be healthy at a lower percentile if their growth is consistent and they meet developmental milestones.

Our weight percentile calculator provides a quick and easy way to get this important metric.

Weight Percentile Formula and Mathematical Explanation

Calculating the exact weight percentile for children typically involves interpolating values from standardized growth charts, often based on complex statistical models like the LMS (Lambda-Mu-Sigma) method developed by the WHO and CDC. These models account for the skewness and variability of growth data at different ages. For practical purposes and simpler calculators, approximations can be made or specific lookup tables used.

The core idea is to find where the child's measured weight falls within the distribution of weights for their specific age and sex.

Simplified Conceptual Approach: While the precise LMS method is complex, the concept can be understood by looking at reference data. For a given age and sex, there are established weight ranges corresponding to different percentiles. The calculator uses a simplified lookup or interpolation based on age.

Variables: The primary inputs for a weight percentile calculation are:

Variable Meaning Unit Typical Range
Age Age of the child Months 0 – 60 months (for typical pediatric charts)
Weight Measured weight of the child Kilograms (kg) 0.5 – 30+ kg (depending on age)
Sex Biological sex of the child Categorical (Male/Female) Male, Female
Percentile The calculated rank (e.g., 50th, 75th) Percentage (%) 0 – 100%
Median Weight The weight at the 50th percentile Kilograms (kg) Varies by age and sex

The weight percentile calculator simplifies this process by accessing pre-computed data.

Practical Examples (Real-World Use Cases)

Example 1: Tracking a 12-Month-Old Boy's Growth

Scenario: Sarah is concerned because her 12-month-old son, Leo, seems smaller than some other babies he plays with. Leo weighs 9.5 kg and is 74 cm long (length percentile not calculated here, focus on weight). He is a boy.

Inputs:

  • Age: 12 Months
  • Weight: 9.5 kg
  • Sex: Male

Calculator Output:

  • Weight Percentile: 50th%
  • Median Weight (50th): 9.6 kg
  • 7th Percentile Weight: 8.0 kg
  • 95th Percentile Weight: 11.8 kg

Interpretation: Leo's weight is right at the median for 12-month-old boys. This is considered a healthy, average growth. Sarah can be reassured that Leo is growing well compared to his peers. The calculator shows that 50% of boys his age are lighter or the same, and 50% are heavier. His weight is well above the 7th percentile (8.0 kg) and below the 95th percentile (11.8 kg), indicating he is within the typical range. This consistent growth is more important than hitting a specific number.

Example 2: Assessing a 3-Year-Old Girl's Weight

Scenario: David notices his 36-month-old daughter, Maya, is quite petite but eats well and is very active. He wants to understand her weight percentile. Maya weighs 13.0 kg and is a girl.

Inputs:

  • Age: 36 Months
  • Weight: 13.0 kg
  • Sex: Female

Calculator Output:

  • Weight Percentile: 25th%
  • Median Weight (50th): 14.1 kg
  • 7th Percentile Weight: 11.1 kg
  • 95th Percentile Weight: 18.5 kg

Interpretation: Maya's weight places her at the 25th percentile for 36-month-old girls. This means she weighs more than 25% of girls her age and less than 75%. Her weight is comfortably within the normal growth range, being above the 7th percentile (11.1 kg) and significantly below the 95th percentile (18.5 kg). Since she is active, healthy, and meeting developmental milestones, this percentile is likely appropriate for her genetically determined growth curve. The key is consistent growth over time, not just a single snapshot. Consulting a pediatrician for a full assessment is always recommended.

How to Use This Weight Percentile Calculator

Using the weight percentile calculator is straightforward and takes just a few moments. Follow these steps to understand your child's growth:

  1. Gather Information: You will need your child's exact age in months, their current weight in kilograms, and their biological sex. Ensure the weight measurement is accurate.
  2. Enter Age: Input the child's age in the "Child's Age (Months)" field. For example, for a 2-year-old, enter 24 months.
  3. Enter Weight: Type the child's weight in kilograms (kg) into the "Child's Weight (kg)" field. Use decimals if necessary (e.g., 10.5 kg).
  4. Select Sex: Choose "Male" or "Female" from the dropdown menu for "Child's Sex".
  5. Calculate: Click the "Calculate Percentile" button.
  6. Review Results: The calculator will display:
    • Your Results: The primary output is the calculated Weight Percentile (e.g., 60th%).
    • Key Intermediate Values: You'll see the Median Weight (50th percentile), and the weights for the 7th and 95th percentiles for comparison.
    • Chart: A visual chart will update to show where your child's weight falls relative to these key percentiles.
    • Table: A table provides a snapshot of standard weight data for various percentiles at that specific age and sex.
  7. Interpret: Understand that a percentile is a relative measure. A higher percentile means the child weighs more compared to peers. The goal is a consistent growth pattern over time, not necessarily a high percentile. Consult your pediatrician if you have concerns about your child's growth.
  8. Reset or Copy: Use the "Reset" button to clear the fields and start over. Use the "Copy Results" button to save or share the information displayed.

Decision-making guidance: The results from this weight percentile calculator should be discussed with a healthcare professional. While the calculator provides valuable comparative data, it does not replace a medical diagnosis. Focus on the trend of growth plotted on a growth chart over multiple visits.

Key Factors That Affect Weight Percentile Results

Several factors influence a child's weight percentile, and understanding these can provide a more complete picture of their growth and health beyond the raw number.

  • Genetics: Just like adult height, a child's potential growth pattern is significantly influenced by their parents' genetics. Some children are naturally leaner or heavier built, which will be reflected in their percentile. A child following their genetically programmed curve consistently is often more important than their absolute percentile.
  • Nutrition and Diet: Adequate and appropriate nutrition is fundamental for healthy weight gain. Insufficient calorie intake, poor nutrient absorption, or highly restrictive diets can lead to a lower weight percentile. Conversely, excessive intake of high-calorie, low-nutrient foods can contribute to a higher percentile, potentially leading to overweight or obesity. Ensuring a balanced diet tailored to the child's age is key.
  • Activity Level: Physical activity plays a crucial role in energy balance. Highly active children tend to burn more calories, which can influence their weight. While regular exercise is vital for health, excessive activity without sufficient caloric intake could lead to a lower percentile, whereas a sedentary lifestyle combined with high caloric intake can contribute to a higher percentile.
  • Health Conditions: Certain medical conditions can significantly impact a child's weight. Chronic illnesses, gastrointestinal issues affecting nutrient absorption (like celiac disease or inflammatory bowel disease), endocrine disorders (like thyroid problems), or metabolic conditions can lead to a lower weight percentile. Conversely, conditions like Prader-Willi syndrome can cause rapid weight gain and a higher percentile.
  • Prematurity and Birth Weight: Premature babies often start with a lower birth weight and may follow a different growth trajectory initially. They are often "corrected" for their due date when assessed against growth charts. Similarly, babies born with very high or low birth weights may need specific monitoring.
  • Age and Developmental Milestones: Growth rates are not linear. Babies experience rapid growth in the first year, followed by slower, steadier growth in toddler and preschool years. Puberty brings another growth spurt. The significance of a particular percentile can change depending on the child's stage of development. For instance, a drop in percentile might be concerning in infancy but less so if a child is entering puberty.
  • Hydration Status: While not a long-term factor, temporary dehydration can affect a child's weight measurement. It's important to ensure children are adequately hydrated before weighing them, especially during hot weather or illness.

Understanding these factors helps provide context to the percentile calculated by our weight percentile calculator and guides discussions with healthcare providers.

Frequently Asked Questions (FAQ)

What is the difference between weight percentile and BMI percentile?

Weight percentile specifically looks at a child's weight relative to their age and sex. BMI percentile considers both weight and height relative to age and sex, providing a measure of body composition (fat vs. muscle). For young children (under 2), weight percentile is often used. For older children (2 and above), BMI percentile is generally preferred as it accounts for height, giving a better picture of relative weight status (underweight, healthy weight, overweight, obesity).

Should I worry if my child is at a low weight percentile?

Not necessarily. A low percentile (e.g., below the 5th) warrants attention, but a healthcare provider needs to assess the overall picture. If the child is active, eating well, meeting developmental milestones, and following a consistent growth curve (even if low), they may be perfectly healthy. Concerns arise if there's a sudden drop in percentile, failure to gain weight, or signs of malnutrition.

What is considered a "normal" weight percentile?

For children, the typical range considered healthy is between the 5th and 85th percentiles. However, percentiles between the 3rd and 97th are often considered within the normal growth range by many pediatric organizations. The most important factor is that the child is growing consistently along their own curve over time.

How often should my child's weight percentile be checked?

Well-child check-ups usually include weighing and measuring your child. For infants, this is more frequent (e.g., monthly or bimonthly initially). For toddlers and older children, it's typically part of their annual physical or routine check-ups. Your pediatrician will determine the appropriate frequency based on your child's needs.

Can I use this calculator for adults?

No, this calculator is specifically designed for children and is based on pediatric growth charts (typically up to age 5 or 10, depending on the chart source). Adult weight assessment uses different metrics, primarily BMI without age-based percentiles.

What growth chart data does this calculator use?

This calculator typically references data points similar to those used by major health organizations like the WHO (World Health Organization) or CDC (Centers for Disease Control and Prevention) for children's growth charts. These are based on extensive population studies.

My child's percentile dropped significantly. What should I do?

A significant drop in percentile is a reason to consult your pediatrician promptly. It could indicate an underlying issue with nutrition, absorption, illness, or other health concerns that need medical evaluation. They will investigate the cause and recommend appropriate interventions.

Does weight percentile affect development milestones?

Weight percentile itself doesn't directly cause or prevent developmental milestones. However, extreme deviations from expected growth patterns (very high or very low percentiles, or rapid shifts) can sometimes be associated with underlying conditions that might affect overall development. A doctor assesses both growth and development together.

Related Tools and Internal Resources

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Disclaimer: This calculator is for informational purposes only and does not constitute medical advice. Always consult with a qualified healthcare professional for any health concerns or before making any decisions related to your child's health.

var chartInstance = null; var weightChartData = { labels: ["7th", "50th (Median)", "95th"], datasets: [{ label: 'Weight (kg)', data: [0, 0, 0], backgroundColor: ['rgba(255, 99, 132, 0.6)', 'rgba(54, 162, 235, 0.6)', 'rgba(255, 206, 86, 0.6)'], borderColor: ['rgba(255, 99, 132, 1)', 'rgba(54, 162, 235, 1)', 'rgba(255, 206, 86, 1)'], borderWidth: 1 }] }; // Simplified data lookup based on age (in months) and sex. // This is a highly simplified representation. Real growth charts use complex LMS parameters. // Data approximated from CDC/WHO growth charts for 2-5 years. var growthData = { male: { 0: {p3: 3.6, p5: 3.8, p7: 4.0, p10: 4.3, p25: 5.0, p50: 5.7, p75: 6.4, p90: 7.1, p95: 7.6, p97: 8.0, median: 5.7, seventh: 4.0, ninetyFifth: 7.6 }, 6: {p3: 6.4, p5: 6.8, p7: 7.1, p10: 7.5, p25: 8.3, p50: 9.1, p75: 10.0, p90: 11.0, p95: 11.8, p97: 12.3, median: 9.1, seventh: 7.1, ninetyFifth: 11.8 }, 12: {p3: 7.9, p5: 8.4, p7: 8.8, p10: 9.2, p25: 10.1, p50: 10.9, p75: 11.8, p90: 12.8, p95: 13.7, p97: 14.2, median: 10.9, seventh: 8.8, ninetyFifth: 13.7 }, 18: {p3: 9.2, p5: 9.7, p7: 10.1, p10: 10.6, p25: 11.6, p50: 12.5, p75: 13.5, p90: 14.7, p95: 15.7, p97: 16.3, median: 12.5, seventh: 10.1, ninetyFifth: 15.7 }, 24: {p3: 10.3, p5: 10.8, p7: 11.3, p10: 11.8, p25: 12.8, p50: 13.8, p75: 15.0, p90: 16.3, p95: 17.4, p97: 18.1, median: 13.8, seventh: 11.3, ninetyFifth: 17.4 }, 36: {p3: 12.1, p5: 12.7, p7: 13.2, p10: 13.8, p25: 15.0, p50: 16.2, p75: 17.7, p90: 19.3, p95: 20.6, p97: 21.4, median: 16.2, seventh: 13.2, ninetyFifth: 20.6 }, 48: {p3: 13.6, p5: 14.3, p7: 14.9, p10: 15.5, p25: 17.0, p50: 18.5, p75: 20.2, p90: 22.1, p95: 23.5, p97: 24.4, median: 18.5, seventh: 14.9, ninetyFifth: 23.5 }, 60: {p3: 14.9, p5: 15.7, p7: 16.3, p10: 17.1, p25: 18.7, p50: 20.3, p75: 22.2, p90: 24.3, p95: 25.9, p97: 26.9, median: 20.3, seventh: 16.3, ninetyFifth: 25.9 } }, female: { 0: {p3: 3.3, p5: 3.5, p7: 3.7, p10: 3.9, p25: 4.4, p50: 5.0, p75: 5.6, p90: 6.2, p95: 6.7, p97: 7.0, median: 5.0, seventh: 3.7, ninetyFifth: 6.7 }, 6: {p3: 5.7, p5: 6.1, p7: 6.3, p10: 6.7, p25: 7.4, p50: 8.1, p75: 8.9, p90: 9.8, p95: 10.6, p97: 11.0, median: 8.1, seventh: 6.3, ninetyFifth: 10.6 }, 12: {p3: 7.1, p5: 7.6, p7: 7.9, p10: 8.4, p25: 9.3, p50: 10.1, p75: 11.0, p90: 12.1, p95: 13.0, p97: 13.6, median: 10.1, seventh: 7.9, ninetyFifth: 13.0 }, 18: {p3: 8.4, p5: 8.9, p7: 9.3, p10: 9.8, p25: 10.8, p50: 11.8, p75: 12.8, p90: 14.0, p95: 15.0, p97: 15.7, median: 11.8, seventh: 9.3, ninetyFifth: 15.0 }, 24: {p3: 9.5, p5: 10.0, p7: 10.4, p10: 11.0, p25: 12.0, p50: 13.0, p75: 14.1, p90: 15.4, p95: 16.5, p97: 17.2, median: 13.0, seventh: 10.4, ninetyFifth: 16.5 }, 36: {p3: 11.1, p5: 11.7, p7: 12.2, p10: 12.8, p25: 13.9, p50: 15.0, p75: 16.3, p90: 17.8, p95: 19.1, p97: 19.9, median: 15.0, seventh: 12.2, ninetyFifth: 19.1 }, 48: {p3: 12.5, p5: 13.2, p7: 13.8, p10: 14.5, p25: 15.9, p50: 17.2, p75: 18.7, p90: 20.5, p95: 22.0, p97: 22.9, median: 17.2, seventh: 13.8, ninetyFifth: 22.0 }, 60: {p3: 13.8, p5: 14.6, p7: 15.2, p10: 16.0, p25: 17.5, p50: 19.1, p75: 20.9, p90: 22.9, p95: 24.6, p97: 25.6, median: 19.1, seventh: 15.2, ninetyFifth: 24.6 } } }; function getGrowthDataForAge(ageInMonths, sex) { var sexData = growthData[sex]; if (!sexData) return null; var ages = Object.keys(sexData).map(Number).sort(function(a, b) { return a – b; }); var closestAge = ages[0]; for (var i = 0; i < ages.length; i++) { if (ageInMonths <= ages[i]) { closestAge = ages[i]; break; } if (i === ages.length – 1) { // If age is greater than the last entry closestAge = ages[i]; } } return sexData[closestAge]; } function calculateWeightPercentile() { var ageInput = document.getElementById("age"); var weightInput = document.getElementById("weight"); var sexSelect = document.getElementById("sex"); var ageError = document.getElementById("ageError"); var weightError = document.getElementById("weightError"); var sexError = document.getElementById("sexError"); // Though select usually doesn't have errors this way // Clear previous errors ageError.style.display = "none"; weightError.style.display = "none"; ageError.textContent = ""; weightError.textContent = ""; var age = parseInt(ageInput.value); var weight = parseFloat(weightInput.value); var sex = sexSelect.value; // Validation var isValid = true; if (isNaN(age) || age < 0) { ageError.textContent = "Please enter a valid age in months (0 or greater)."; ageError.style.display = "block"; isValid = false; } if (isNaN(weight) || weight <= 0) { weightError.textContent = "Please enter a valid weight in kilograms (greater than 0)."; weightError.style.display = "block"; isValid = false; } if (!isValid) { document.getElementById("resultsContainer").style.display = "none"; return; } var growthMetrics = getGrowthDataForAge(age, sex); var percentile = "–%"; var medianWeight = "– kg"; var seventhWeight = "– kg"; var ninetyFifthWeight = "– kg"; var percentiles = [3, 5, 7, 10, 25, 50, 75, 90, 95, 97]; var percentileWeights = {}; if (growthMetrics) { percentileWeights = { p3: growthMetrics.p3, p5: growthMetrics.p5, p7: growthMetrics.p7, p10: growthMetrics.p10, p25: growthMetrics.p25, p50: growthMetrics.p50, p75: growthMetrics.p75, p90: growthMetrics.p90, p95: growthMetrics.p95, p97: growthMetrics.p97 }; // Populate table document.getElementById("weight3rd").textContent = percentileWeights.p3 ? percentileWeights.p3.toFixed(1) : "–"; document.getElementById("weight5th").textContent = percentileWeights.p5 ? percentileWeights.p5.toFixed(1) : "–"; document.getElementById("weight7th").textContent = percentileWeights.p7 ? percentileWeights.p7.toFixed(1) : "–"; document.getElementById("weight10th").textContent = percentileWeights.p10 ? percentileWeights.p10.toFixed(1) : "–"; document.getElementById("weight25th").textContent = percentileWeights.p25 ? percentileWeights.p25.toFixed(1) : "–"; document.getElementById("weight50th").textContent = percentileWeights.p50 ? percentileWeights.p50.toFixed(1) : "–"; document.getElementById("weight75th").textContent = percentileWeights.p75 ? percentileWeights.p75.toFixed(1) : "–"; document.getElementById("weight90th").textContent = percentileWeights.p90 ? percentileWeights.p90.toFixed(1) : "–"; document.getElementById("weight95th").textContent = percentileWeights.p95 ? percentileWeights.p95.toFixed(1) : "–"; document.getElementById("weight97th").textContent = percentileWeights.p97 ? percentileWeights.p97.toFixed(1) : "–"; medianWeight = growthMetrics.median.toFixed(1) + " kg"; seventhWeight = growthMetrics.seventh.toFixed(1) + " kg"; ninetyFifthWeight = growthMetrics.ninetyFifth.toFixed(1) + " kg"; // Calculate percentile (simplified linear interpolation if weight falls between known points) var pValues = [3, 5, 7, 10, 25, 50, 75, 90, 95, 97]; var wValues = [percentileWeights.p3, percentileWeights.p5, percentileWeights.p7, percentileWeights.p10, percentileWeights.p25, percentileWeights.p50, percentileWeights.p75, percentileWeights.p90, percentileWeights.p95, percentileWeights.p97]; if (weight < wValues[0]) { percentile = " wValues[wValues.length – 1]) { percentile = ">97%"; } else { for (var i = 0; i = wValues[i] && weight 0) { var childPercentile = parseFloat(document.getElementById("percentileResult").textContent.replace('%', ")); var childLabel = "Your Child (" + childPercentile + "%)"; // Check if we need to add a new dataset or modify existing if (chartInstance.data.datasets.length 0) newChildData[0] = childWeight; // Fallback if median label not found chartInstance.data.datasets[1].data = newChildData; chartInstance.update(); } } function resetCalculator() { document.getElementById("age").value = "24"; document.getElementById("weight").value = "12"; document.getElementById("sex").value = "male"; document.getElementById("resultsContainer").style.display = "none"; document.getElementById("ageError").style.display = "none"; document.getElementById("weightError").style.display = "none"; if (chartInstance) { chartInstance.destroy(); chartInstance = null; // Reset chart instance } // Clear table content document.getElementById("weight3rd").textContent = "–"; document.getElementById("weight5th").textContent = "–"; document.getElementById("weight7th").textContent = "–"; document.getElementById("weight10th").textContent = "–"; document.getElementById("weight25th").textContent = "–"; document.getElementById("weight50th").textContent = "–"; document.getElementById("weight75th").textContent = "–"; document.getElementById("weight90th").textContent = "–"; document.getElementById("weight95th").textContent = "–"; document.getElementById("weight97th").textContent = "–"; document.getElementById("growthTableCaption").textContent = "Sample Weight Data (kg) for Age: — Months, Sex: –"; } function copyResults() { var percentile = document.getElementById("percentileResult").textContent; var medianWeight = document.getElementById("medianWeight").textContent; var seventhWeight = document.getElementById("seventhWeight").textContent; var ninetyFifthWeight = document.getElementById("ninetyFifthWeight").textContent; var age = document.getElementById("age").value; var weight = document.getElementById("weight").value; var sex = document.getElementById("sex").value; var resultsText = "Weight Percentile Calculation Results:\n"; resultsText += "————————————\n"; resultsText += "Age: " + age + " months\n"; resultsText += "Weight: " + weight + " kg\n"; resultsText += "Sex: " + sex.charAt(0).toUpperCase() + sex.slice(1) + "\n"; resultsText += "————————————\n"; resultsText += "Your Child's Weight Percentile: " + percentile + "\n"; resultsText += "Median Weight (50th %): " + medianWeight + "\n"; resultsText += "7th Percentile Weight: " + seventhWeight + "\n"; resultsText += "95th Percentile Weight: " + ninetyFifthWeight + "\n"; resultsText += "————————————\n"; resultsText += "Assumptions: Based on standard growth chart data (approximated)."; // Use Clipboard API navigator.clipboard.writeText(resultsText).then(function() { // Success! Display a temporary message 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 results: ", err); // Fallback for older browsers or if clipboard API fails alert("Could not copy results. Please copy manually:\n\n" + resultsText); }); } function toggleFaq(element) { var content = element.nextElementSibling; if (content.style.display === "block") { content.style.display = "none"; } else { content.style.display = "block"; } } // Initialize current year in footer document.getElementById("currentYear").textContent = new Date().getFullYear(); // Add event listener to re-calculate on input change var ageInput = document.getElementById("age"); var weightInput = document.getElementById("weight"); var sexSelect = document.getElementById("sex"); ageInput.addEventListener("input", calculateWeightPercentile); weightInput.addEventListener("input", calculateWeightPercentile); sexSelect.addEventListener("change", calculateWeightPercentile); // Initial calculation on page load document.addEventListener('DOMContentLoaded', function() { calculateWeightPercentile(); });

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