Calculate Percentile for Height and Weight

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Calculate Height and Weight Percentile

Understanding child growth using standardized percentiles.

Growth Percentile Calculator

Enter the child's age in full months.
Boy Girl
Select the child's gender.
Height Weight
Choose whether to calculate percentile for height or weight.
Enter the child's measured value. For height, use cm. For weight, use kg.

Results

Age Category

Growth Standard

Growth Category

Formula & Explanation: Percentiles indicate how a child's measurement compares to others of the same age and gender. A percentile of 50 means the child is at the average. A percentile of 90 means the child is taller/heavier than 90% of children in that group. This calculator uses standard growth charts (e.g., WHO or CDC) to find the percentile based on age, gender, and measurement. For example, to calculate a height percentile: find the child's age on the X-axis of the appropriate growth chart (for their gender), then find the corresponding height on the Y-axis. The percentile line that passes closest to this point indicates the child's percentile rank.
Growth Chart Visualization (Simplified Representation)
Growth Data Sample (Example for Boys, 2-20 Years – Height in cm)
Age (Months) 3rd Percentile 50th Percentile (Median) 97th Percentile
2480.586.292.8
3688.195.0102.5
4894.2101.5110.0
60100.0107.5116.5
72105.5113.0122.0
84110.8118.5127.5
96115.8123.5132.5
108120.5128.0137.0
120124.8132.0141.0
132129.0135.8144.5
144132.8139.5147.8
156136.5142.8150.5
168139.5145.5152.5
180142.0147.5154.0
192144.0149.0155.5
204145.5150.0156.5
216146.5150.5157.0

What is Height and Weight Percentile?

A height and weight percentile is a way to measure a child's growth by comparing their measurements to those of other children of the same age and gender. It's a crucial tool used by healthcare providers to monitor a child's development. A percentile tells you what percentage of children your child is taller than or heavier than. For instance, if a child is at the 75th percentile for height, it means they are taller than 75% of children their age and gender, and shorter than 25%.

Who should use it: Primarily, parents, pediatricians, and healthcare professionals use growth percentiles. Parents can use it to understand their child's growth trajectory and discuss any concerns with their doctor. Pediatricians rely on these percentiles to identify potential growth issues, nutritional deficiencies, or hormonal imbalances early on.

Common misconceptions:

  • Myth: Being in a low percentile is always bad. Not necessarily. A child can be perfectly healthy and consistently grow along a low percentile line (e.g., 5th or 10th). The key is consistent growth.
  • Myth: Being in a high percentile is always good. Similarly, a high percentile (e.g., 90th or 95th) doesn't automatically mean a child is exceptionally healthy; it simply indicates they are larger than most peers. Excessive growth can also be a concern.
  • Myth: Percentiles change rapidly. While percentiles can shift slightly, significant or sudden jumps/drops can indicate underlying issues that warrant medical attention. Stable growth along a curve is generally ideal.

Height and Weight Percentile Formula and Mathematical Explanation

Calculating a precise percentile rank involves complex statistical methods and requires reference data from large population studies, typically compiled into growth charts. These charts are generated using statistical models that estimate the distribution of measurements (height, weight, head circumference) for specific age and gender groups. The most common statistical measure used is the Least Median of Differences (LMD) or similar robust regression techniques, but for practical purposes, one uses pre-calculated charts or software that has these models embedded.

The core idea is to determine where a specific measurement falls within the distribution of measurements for a reference population. While we don't directly "calculate" it from a simple formula in a calculator like this without the underlying statistical data, the process conceptually involves:

  1. Identifying the child's specific age and gender.
  2. Locating the corresponding data points on the appropriate growth chart (e.g., WHO or CDC charts).
  3. Finding the percentile curve that best matches the child's measurement (height or weight).

Variables and Concepts:

Variable Meaning Unit Typical Range (Child)
AgeChild's ageMonths0 – 240 months (0-20 years)
GenderBiological sex of the childCategorical (Boy/Girl)N/A
Measurement TypeWhich body metric is being assessedCategorical (Height/Weight)N/A
Measurement ValueThe actual recorded measurementcm (Height), kg (Weight)Varies widely by age and gender
Percentile RankThe percentage of children the measurement is greater than%0 – 100%
Standard Deviation (SD)Statistical measure of data spread; often used in growth charts (e.g., +/- 1 SD, +/- 2 SD)Units of Measurement (cm, kg)Varies

Growth charts often display specific percentile curves (e.g., 3rd, 5th, 10th, 25th, 50th, 75th, 90th, 95th, 97th) derived from complex statistical models.

Practical Examples (Real-World Use Cases)

Example 1: Assessing a Toddler's Height

Scenario: Sarah is 30 months old and her parents measure her height at 85 cm. Her doctor needs to assess her growth.

Inputs:

  • Age: 30 months
  • Gender: Girl
  • Measurement Type: Height
  • Measurement Value: 85 cm

Calculation & Results:

  • Age Category: Toddler
  • Growth Standard: WHO Growth Charts (typically used for ages 0-2 years, but often extended or CDC charts used for older). Let's assume CDC charts for this age range.
  • Calculated Percentile: Approximately 65th percentile
  • Growth Category: Within normal growth range.

Interpretation: Sarah is taller than about 65% of girls her age and shorter than 35%. This is considered a healthy percentile, indicating consistent growth within the typical range.

Example 2: Monitoring a School-Aged Child's Weight

Scenario: David is 8 years old (96 months) and weighs 25 kg. His pediatrician is checking his weight status.

Inputs:

  • Age: 96 months
  • Gender: Boy
  • Measurement Type: Weight
  • Measurement Value: 25 kg

Calculation & Results:

  • Age Category: School-Aged Child
  • Growth Standard: CDC Growth Charts (standard for US children over 2 years).
  • Calculated Percentile: Approximately 50th percentile
  • Growth Category: Healthy weight.

Interpretation: David's weight is right at the median for boys his age. This indicates he is at a healthy weight status. The pediatrician would also consider his height percentile (BMI percentile is often used for this age group).

How to Use This Height and Weight Percentile Calculator

Our calculator is designed for ease of use, helping you quickly understand your child's growth metrics:

  1. Enter Age: Input the child's age in full months.
  2. Select Gender: Choose 'Boy' or 'Girl'.
  3. Choose Measurement Type: Select 'Height' or 'Weight'.
  4. Enter Measurement Value: Input the measured height in centimeters (cm) or weight in kilograms (kg).
  5. Click 'Calculate Percentile': The calculator will instantly display the results.

How to Read Results:

  • Main Result (Percentile): This is the key number. A higher percentile means the child is larger relative to their peers.
  • Age Category: Provides context (e.g., Infant, Toddler, Child).
  • Growth Standard: Indicates which set of reference data was used (e.g., WHO, CDC).
  • Growth Category: A general classification based on percentile (e.g., Underweight, Healthy weight, Overweight, Obese, or for height: Short stature, Average, Tall).

Decision-Making Guidance: While the calculator provides a number, it's essential to interpret it with a healthcare professional. Consistent tracking over time is more important than a single reading. If you have concerns about your child's growth, consult your pediatrician.

Key Factors That Affect Height and Weight Percentile Results

Several biological, environmental, and genetic factors influence a child's position on growth charts:

  1. Genetics: A child's genetic potential plays a significant role. If parents are tall, their children are likely to be taller on average, and vice versa. Similarly, genetic factors influence a child's frame size and potential weight.
  2. Nutrition: Adequate and balanced nutrition is fundamental for growth. Deficiencies in essential nutrients (proteins, vitamins, minerals) can stunt growth (affecting height percentile) or lead to being underweight (affecting weight percentile). Conversely, excessive calorie intake can lead to higher weight percentiles.
  3. Hormones: Growth hormone, thyroid hormones, and sex hormones are critical for linear growth and weight regulation. Imbalances can lead to conditions like dwarfism or gigantism (affecting height) or obesity (affecting weight).
  4. Health Conditions: Chronic illnesses, malabsorption disorders (like Celiac disease), kidney disease, or conditions affecting metabolism can significantly impact both height and weight gain, leading to lower percentiles.
  5. Physical Activity Levels: Regular physical activity contributes to healthy muscle development and weight management. Sedentary lifestyles combined with poor diet can contribute to higher weight percentiles, potentially leading to overweight or obesity categories.
  6. Prenatal Factors: The intrauterine environment, including maternal nutrition and health during pregnancy, can influence a baby's birth weight and initial growth trajectory, setting the stage for their early percentiles.
  7. Socioeconomic Factors: Access to nutritious food, healthcare, and safe environments for play can indirectly influence growth patterns.

Frequently Asked Questions (FAQ)

What is the difference between WHO and CDC growth charts?
The World Health Organization (WHO) growth charts are recommended for children from birth to 2 years old globally, based on breastfed infants. The Centers for Disease Control and Prevention (CDC) growth charts are typically used for children aged 2 to 20 years in the United States, reflecting a broader range of feeding practices.
How often should my child's growth be monitored?
Regular check-ups with a pediatrician are essential. For infants, this might be monthly initially, then every few months. For older children, annual check-ups are common, but the pediatrician will advise based on the child's specific needs.
Is it okay if my child's percentile changes?
Some percentile shifts are normal, especially in the first few years of life as a child establishes their growth pattern. However, rapid or consistent large jumps or drops across multiple check-ups should be discussed with a doctor, as they might indicate an underlying issue.
Does BMI percentile matter more than height/weight percentiles for older kids?
For children over 2 years old, BMI-for-age percentiles are often used to assess weight status (underweight, healthy weight, overweight, obese) because height and weight are growing at different rates. It provides a more comprehensive view of weight relative to height.
My child is tall for their age, does that mean they'll be tall as an adult?
Often, yes, but not always. Genetics play a big role. A child consistently tracking along a high height percentile is likely to be tall as an adult. However, early growth spurts or delayed puberty can sometimes alter adult height predictions.
What if my child has a condition affecting their growth?
If a child has a diagnosed medical condition impacting growth, healthcare providers will use specialized growth charts or reference data tailored to that condition. The standard charts might not accurately reflect their growth trajectory.
Can diet alone change my child's percentile significantly?
Diet is a major factor, especially for weight. Consistent over- or under-eating can shift weight percentiles. However, for height, genetics and hormonal factors are more dominant, though severe malnutrition can impact final adult height.
Is this calculator a substitute for a doctor's visit?
No, this calculator is a tool for informational purposes only. It provides an estimate based on standard data. A pediatrician or healthcare provider should always be consulted for accurate assessment, diagnosis, and guidance regarding a child's growth and health.

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10.3, "p50": 11.4, "p97": 13.9}, {"months": 54, "p3": 10.6, "p50": 11.7, "p97": 14.2}, {"months": 60, "p3": 10.9, "p50": 12.0, "p97": 14.5}, {"months": 72, "p3": 11.4, "p50": 12.5, "p97": 15.1}, {"months": 84, "p3": 11.9, "p50": 13.0, "p97": 15.6}, {"months": 96, "p3": 12.3, "p50": 13.4, "p97": 16.1}, {"months": 108, "p3": 12.7, "p50": 13.8, "p97": 16.5}, {"months": 120, "p3": 13.1, "p50": 14.2, "p97": 17.0}, {"months": 132, "p3": 13.5, "p50": 14.6, "p97": 17.4}, {"months": 144, "p3": 13.9, "p50": 15.0, "p97": 17.8}, {"months": 156, "p3": 14.2, "p50": 15.3, "p97": 18.1}, {"months": 168, "p3": 14.5, "p50": 15.6, "p97": 18.4}, {"months": 180, "p3": 14.7, "p50": 15.8, "p97": 18.6}, {"months": 192, "p3": 14.9, "p50": 16.0, "p97": 18.8}, {"months": 204, "p3": 15.1, "p50": 16.1, "p97": 18.9}, {"months": 216, "p3": 15.2, "p50": 16.2, "p97": 19.0}, {"months": 228, "p3": 15.3, "p50": 16.3, "p97": 19.1}, {"months": 240, "p3": 15.4, "p50": 16.4, "p97": 19.2} ] }, "girl": { "height": [ {"months": 0, "p3": 44.0, "p50": 48.5, "p97": 53.0}, {"months": 1, "p3": 48.0, "p50": 52.5, "p97": 57.5}, {"months": 2, "p3": 51.0, "p50": 55.5, "p97": 60.5}, {"months": 3, "p3": 53.5, "p50": 58.0, "p97": 63.0}, {"months": 4, "p3": 55.0, "p50": 59.5, "p97": 64.5}, {"months": 5, "p3": 56.5, "p50": 61.0, "p97": 66.0}, {"months": 6, "p3": 57.5, "p50": 62.0, "p97": 67.0}, {"months": 7, "p3": 58.5, "p50": 63.0, "p97": 68.0}, {"months": 8, "p3": 59.5, "p50": 63.5, "p97": 69.0}, {"months": 9, "p3": 60.0, "p50": 64.5, "p97": 69.5}, {"months": 10, "p3": 61.0, "p50": 65.5, "p97": 70.5}, {"months": 11, "p3": 61.5, "p50": 66.0, "p97": 71.0}, {"months": 12, "p3": 62.5, "p50": 67.0, "p97": 72.0}, {"months": 18, "p3": 67.5, "p50": 72.0, "p97": 77.0}, {"months": 24, "p3": 71.5, "p50": 76.0, "p97": 81.0}, {"months": 30, "p3": 74.5, "p50": 79.0, "p97": 84.0}, {"months": 36, "p3": 77.0, "p50": 81.5, "p97": 86.5}, {"months": 42, "p3": 79.0, "p50": 83.5, "p97": 88.5}, {"months": 48, "p3": 81.0, "p50": 85.5, "p97": 90.5}, {"months": 54, "p3": 82.5, "p50": 87.0, "p97": 92.0}, {"months": 60, "p3": 84.0, "p50": 88.5, "p97": 93.5}, {"months": 72, "p3": 87.0, "p50": 91.5, "p97": 96.5}, {"months": 84, "p3": 90.0, "p50": 94.5, "p97": 99.5}, {"months": 96, "p3": 92.5, "p50": 97.0, "p97": 102.0}, {"months": 108, "p3": 95.0, "p50": 99.5, "p97": 104.5}, {"months": 120, "p3": 97.0, "p50": 101.5, "p97": 106.5}, {"months": 132, "p3": 99.0, "p50": 103.5, "p97": 108.5}, {"months": 144, "p3": 101.0, "p50": 105.5, "p97": 110.5}, {"months": 156, "p3": 102.5, "p50": 107.0, "p97": 112.0}, {"months": 168, "p3": 104.0, "p50": 108.5, "p97": 113.5}, {"months": 180, "p3": 105.0, "p50": 109.5, "p97": 114.5}, {"months": 192, "p3": 106.0, "p50": 110.5, "p97": 115.5}, {"months": 204, "p3": 106.5, "p50": 111.0, "p97": 116.0}, {"months": 216, "p3": 107.0, "p50": 111.5, "p97": 116.5}, {"months": 228, "p3": 107.5, "p50": 112.0, "p97": 117.0}, {"months": 240, "p3": 108.0, "p50": 112.5, "p97": 117.5} ], "weight": [ {"months": 0, "p3": 2.3, "p50": 3.2, "p97": 4.5}, {"months": 1, "p3": 3.0, "p50": 4.0, "p97": 5.3}, {"months": 2, "p3": 3.7, "p50": 4.7, "p97": 6.1}, {"months": 3, "p3": 4.2, "p50": 5.3, "p97": 6.7}, {"months": 4, "p3": 4.6, "p50": 5.7, "p97": 7.1}, {"months": 5, "p3": 4.9, "p50": 6.0, "p97": 7.5}, {"months": 6, "p3": 5.2, "p50": 6.2, "p97": 7.8}, {"months": 7, "p3": 5.4, "p50": 6.4, "p97": 8.0}, {"months": 8, "p3": 5.6, "p50": 6.6, "p97": 8.2}, {"months": 9, "p3": 5.7, "p50": 6.7, "p97": 8.4}, {"months": 10, "p3": 5.9, "p50": 6.9, "p97": 8.6}, {"months": 11, "p3": 6.0, "p50": 7.0, "p97": 8.7}, {"months": 12, "p3": 6.1, "p50": 7.2, "p97": 8.9}, {"months": 18, "p3": 6.8, "p50": 7.8, "p97": 9.7}, {"months": 24, "p3": 7.3, "p50": 8.4, "p97": 10.3}, {"months": 30, "p3": 7.8, "p50": 8.8, "p97": 10.8}, {"months": 36, "p3": 8.2, "p50": 9.2, "p97": 11.2}, {"months": 42, "p3": 8.5, "p50": 9.5, "p97": 11.6}, {"months": 48, "p3": 8.8, "p50": 9.8, "p97": 11.9}, {"months": 54, "p3": 9.1, "p50": 10.1, "p97": 12.2}, {"months": 60, "p3": 9.3, "p50": 10.4, "p97": 12.5}, {"months": 72, "p3": 9.8, "p50": 10.9, "p97": 13.1}, {"months": 84, "p3": 10.2, "p50": 11.3, "p97": 13.6}, {"months": 96, "p3": 10.6, "p50": 11.7, "p97": 14.1}, {"months": 108, "p3": 10.9, "p50": 12.0, "p97": 14.4}, {"months": 120, "p3": 11.3, "p50": 12.4, "p97": 14.8}, {"months": 132, "p3": 11.6, "p50": 12.7, "p97": 15.1}, {"months": 144, "p3": 11.9, "p50": 13.0, "p97": 15.4}, {"months": 156, "p3": 12.1, "p50": 13.2, "p97": 15.6}, {"months": 168, "p3": 12.3, "p50": 13.4, "p97": 15.8}, {"months": 180, "p3": 12.5, "p50": 13.6, "p97": 15.9}, {"months": 192, "p3": 12.6, "p50": 13.7, "p97": 16.0}, {"months": 204, "p3": 12.7, "p50": 13.8, "p97": 16.1}, {"months": 216, "p3": 12.8, "p50": 13.9, "p97": 16.2}, {"months": 228, "p3": 12.9, "p50": 13.9, "p97": 16.3}, {"months": 240, "p3": 13.0, "p50": 14.0, "p97": 16.4} ] } }; var chart = null; function findNearestDataPoint(age, data) { for (var i = 0; i = age) { return data[i]; } } return data[data.length – 1]; // Return last point if age is beyond data range } function interpolate(age, data, p3, p50, p97) { if (age <= 0) return { p3: data[0][p3], p50: data[0][p50], p97: data[0][p97] }; var lower = null; var upper = null; for (var i = 0; i < data.length; i++) { if (data[i].months === age) { return { p3: data[i][p3], p50: data[i][p50], p97: data[i][p97] }; } if (data[i].months age) { upper = data[i]; break; } } if (!lower) return { p3: data[0][p3], p50: data[0][p50], p97: data[0][p97] }; // Age is before first data point if (!upper) return { p3: lower[p3], p50: lower[p50], p97: lower[p97] }; // Age is after last data point var ageDiff = upper.months – lower.months; var ageRatio = (age – lower.months) / ageDiff; var interpolatedP3 = lower[p3] + (upper[p3] – lower[p3]) * ageRatio; var interpolatedP50 = lower[p50] + (upper[p50] – lower[p50]) * ageRatio; var interpolatedP97 = lower[p97] + (upper[p97] – lower[p97]) * ageRatio; return { p3: interpolatedP3, p50: interpolatedP50, p97: interpolatedP97 }; } function calculatePercentile() { var age = parseInt(document.getElementById("age").value); var gender = parseInt(document.getElementById("gender").value); // 0 for boy, 1 for girl var measurementType = document.getElementById("measurement_type").value; // "height" or "weight" var measurementValue = parseFloat(document.getElementById("measurement_value").value); var genderKey = gender === 0 ? "boy" : "girl"; var dataSet = growthData[genderKey][measurementType]; var ageError = document.getElementById("age-error"); var measurementError = document.getElementById("measurement_value-error"); ageError.textContent = ""; measurementError.textContent = ""; if (isNaN(age) || age 240) { ageError.textContent = "Please enter a valid age between 0 and 240 months."; return; } if (isNaN(measurementValue) || measurementValue <= 0) { measurementError.textContent = "Please enter a valid measurement value greater than 0."; return; } var ageCategory = ""; if (age < 12) ageCategory = "Infant"; else if (age < 36) ageCategory = "Toddler"; else if (age < 72) ageCategory = "Preschooler"; else if (age < 144) ageCategory = "School-Aged"; else ageCategory = "Adolescent"; var growthStandard = "CDC"; // Defaulting to CDC for simplicity, in practice more complex logic needed. if (age < 24) growthStandard = "WHO"; var growthDataPoint = interpolate(age, dataSet, "p3", "p50", "p97"); var p3 = growthDataPoint.p3; var p50 = growthDataPoint.p50; var p97 = growthDataPoint.p97; var percentile = "–"; var growthCategory = "–"; var unit = measurementType === "height" ? "cm" : "kg"; if (measurementValue < p3) { percentile = "< 3"; growthCategory = "Low"; } else if (measurementValue < p50) { percentile = Math.round(((measurementValue – p3) / (p50 – p3)) * (50 – 3) + 3); growthCategory = "Normal"; } else if (measurementValue 97″; growthCategory = "High"; } if (measurementType === "weight") { if (percentile = 85 && percentile = 95) growthCategory = "Obese"; else growthCategory = "Healthy Weight"; } else { // Height if (percentile = 97) growthCategory = "Tall"; else growthCategory = "Average Height"; } document.getElementById("main-result").textContent = percentile + "th Percentile"; document.getElementById("age-category").textContent = ageCategory; document.getElementById("growth-standard").textContent = growthStandard; document.getElementById("growth-category").textContent = growthCategory; updateChart(age, measurementValue, p3, p50, p97, unit); } function updateChart(age, measuredValue, p3, p50, p97, unit) { var ctx = document.getElementById('growthChart').getContext('2d'); if (chart) { chart.destroy(); } var labelX = "Age (Months)"; var labelY = "Measurement (" + unit + ")"; var chartData = { labels: [], datasets: [ { label: '3rd Percentile', data: [], borderColor: 'rgba(255, 99, 132, 1)', backgroundColor: 'rgba(255, 99, 132, 0.2)', fill: false, tension: 0.1, pointRadius: 3 }, { label: '50th Percentile (Median)', data: [], borderColor: 'rgba(54, 162, 235, 1)', backgroundColor: 'rgba(54, 162, 235, 0.2)', fill: false, tension: 0.1, pointRadius: 3 }, { label: '97th Percentile', data: [], borderColor: 'rgba(75, 192, 192, 1)', backgroundColor: 'rgba(75, 192, 192, 0.2)', fill: false, tension: 0.1, pointRadius: 3 }, { label: 'Childs Measurement', data: [], borderColor: 'rgba(255, 206, 86, 1)', backgroundColor: 'rgba(255, 206, 86, 1)', fill: false, tension: 0, pointRadius: 6, type: 'scatter' // Use scatter for a single point } ] }; var monthsData = []; // Get a range of months around the input age, plus endpoints var startMonth = Math.max(0, age – 36); var endMonth = Math.min(240, age + 36); for (var m = startMonth; m <= endMonth; m++) { if (m % 6 === 0 || m === 0 || m === 240 || m === age) { // Sample points, ensuring age is included monthsData.push(m); } } // Ensure specific age is present if not already if (monthsData.indexOf(age) === -1) { monthsData.push(age); monthsData.sort(function(a, b) { return a – b; }); } var genderKey = document.getElementById("gender").value === "0" ? "boy" : "girl"; var measurementType = document.getElementById("measurement_type").value; var dataSet = growthData[genderKey][measurementType]; for (var i = 0; i < monthsData.length; i++) { var currentMonth = monthsData[i]; var dataPoint = interpolate(currentMonth, dataSet, "p3", "p50", "p97"); chartData.labels.push(currentMonth); chartData.datasets[0].data.push(dataPoint.p3); chartData.datasets[1].data.push(dataPoint.p50); chartData.datasets[2].data.push(dataPoint.p97); if (currentMonth === age) { chartData.datasets[3].data.push(measuredValue); } else { chartData.datasets[3].data.push(null); // No data point for other ages } } chart = new Chart(ctx, { type: 'line', data: chartData, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: labelX }, suggestedMin: Math.max(0, age – 48), suggestedMax: Math.min(240, age + 48) }, y: { title: { display: true, text: labelY }, beginAtZero: false // Adjust based on typical ranges } }, 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) + unit; } return label; } } } } } }); } function resetCalculator() { document.getElementById("age").value = "24"; document.getElementById("gender").value = "0"; document.getElementById("measurement_type").value = "height"; document.getElementById("measurement_value").value = "86"; document.getElementById("age-error").textContent = ""; document.getElementById("measurement_value-error").textContent = ""; document.getElementById("main-result").textContent = "–"; document.getElementById("age-category").textContent = "–"; document.getElementById("growth-standard").textContent = "–"; document.getElementById("growth-category").textContent = "–"; if (chart) chart.destroy(); var ctx = document.getElementById('growthChart').getContext('2d'); ctx.clearRect(0, 0, ctx.canvas.width, ctx.canvas.height); } function copyResults() { var mainResult = document.getElementById("main-result").textContent; var ageCategory = document.getElementById("age-category").textContent; var growthStandard = document.getElementById("growth-standard").textContent; var growthCategory = document.getElementById("growth-category").textContent; var age = document.getElementById("age").value; var gender = document.getElementById("gender").value === "0" ? "Boy" : "Girl"; var measurementType = document.getElementById("measurement_type").value; var measurementValue = document.getElementById("measurement_value").value; var unit = measurementType === "height" ? "cm" : "kg"; var resultText = "Growth Percentile Results:\n"; resultText += "————————–\n"; resultText += "Age: " + age + " months (" + gender + ")\n"; resultText += "Measurement Type: " + measurementType.charAt(0).toUpperCase() + measurementType.slice(1) + "\n"; resultText += "Measured Value: " + measurementValue + " " + unit + "\n"; resultText += "————————–\n"; resultText += "Percentile: " + mainResult + "\n"; resultText += "Age Category: " + ageCategory + "\n"; resultText += "Growth Standard: " + growthStandard + "\n"; resultText += "Growth Category: " + growthCategory + "\n"; resultText += "————————–\n"; resultText += "Note: Percentiles compare a child to others of the same age and gender. Consult a healthcare professional for interpretation."; navigator.clipboard.writeText(resultText).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Failed to copy results: ', err); alert('Failed to copy results. Please copy manually.'); }); } // Initialize with default values on load window.onload = function() { resetCalculator(); // Set sensible defaults calculatePercentile(); // Perform initial calculation };

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