Calculate Average Height and Weight for Children

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Children's Average Height and Weight Calculator

Compare your child's growth against established averages.

Growth Metrics Input

Enter age in whole months. (e.g., 36 for 3 years)
Male Female Select the child's gender for accurate comparison.
Enter the child's height in centimeters (e.g., 95 cm).
Enter the child's weight in kilograms (e.g., 14 kg).

Your Child's Growth Analysis

Assumptions:

Understanding Children's Average Height and Weight

What is Average Height and Weight for Children?

The average height and weight for children refers to the typical measurements of a child's physical growth at a specific age and gender, based on large-scale studies and growth charts. These averages serve as a benchmark to help parents, caregivers, and healthcare professionals monitor a child's development and identify potential growth concerns. It's crucial to understand that these are averages, not absolute targets, as children grow at their own unique pace. This calculator helps you compare your child's current measurements against these established norms.

Who should use it: Parents, guardians, pediatricians, nurses, and anyone involved in a child's care who wants to understand if a child's growth is within expected ranges. It's particularly useful for tracking development over time and for children who might be experiencing slow or rapid growth.

Common misconceptions: A frequent misunderstanding is that a child *must* match the exact average. This is incorrect. Growth is a spectrum, and children can be perfectly healthy and developing well outside the exact percentile. Another misconception is that these charts are solely for diagnosing problems; they are primarily tools for monitoring and early detection, offering a broader picture of health.

Children's Growth Metrics: Formula and Mathematical Explanation

Calculating average height and weight for children isn't a single, simple formula applied universally. Instead, it involves comparing a child's measurements against WHO (World Health Organization) or CDC (Centers for Disease Control and Prevention) growth charts. These charts are derived from extensive data and statistical analysis, primarily using percentiles.

How it works:

  1. Data Collection: Large datasets of children's height and weight measurements are collected, categorized by age and gender.
  2. Percentile Calculation: For each age and gender, a distribution of measurements is analyzed. Percentiles indicate the percentage of children who fall below a specific measurement. For example, the 50th percentile represents the median, meaning half the children are above this measurement and half are below. The 3rd and 97th percentiles are often used as lower and upper bounds for typical growth.
  3. BMI Calculation: Body Mass Index (BMI) is calculated using a standard formula: BMI = weight (kg) / (height (m))^2. This BMI is then also plotted on age- and gender-specific BMI-for-age charts to determine its percentile.

This calculator approximates the percentile by referencing simplified data points or interpolation methods based on WHO/CDC standards.

Variables Used:

Variable Meaning Unit Typical Range
Age Child's age Months 0-240 months (0-20 years)
Gender Child's sex Categorical Male, Female
Height Child's length/height cm 0 – 200 cm
Weight Child's body mass kg 0 – 100 kg
Height Percentile The percentage of children of the same age and gender whose height is less than the child's measured height. % 0 – 100 %
Weight Percentile The percentage of children of the same age and gender whose weight is less than the child's measured weight. % 0 – 100 %
BMI Body Mass Index, a ratio of weight to height squared. kg/m² Varies significantly with age
BMI Percentile The percentage of children of the same age and gender whose BMI is less than the child's measured BMI. % 0 – 100 %

Practical Examples

Let's illustrate with two common scenarios:

Example 1: A Healthy 3-Year-Old Boy

Inputs:

  • Child's Age: 36 months (3 years)
  • Child's Gender: Male
  • Child's Height: 95 cm
  • Child's Weight: 14 kg

Analysis:

  • Height Percentile: Approximately 50th percentile (average height for a 3-year-old boy).
  • Weight Percentile: Approximately 50th percentile (average weight for a 3-year-old boy).
  • BMI: ~15.5 kg/m²
  • BMI Percentile: Approximately 50th percentile.

Interpretation: This child is growing right in line with the average for his age and gender. This indicates a healthy growth trajectory. The average height and weight for children serve as a good reference here.

Example 2: A Taller, Lighter 5-Year-Old Girl

Inputs:

  • Child's Age: 60 months (5 years)
  • Child's Gender: Female
  • Child's Height: 115 cm
  • Child's Weight: 17 kg

Analysis:

  • Height Percentile: Approximately 75th percentile (taller than average for her age and gender).
  • Weight Percentile: Approximately 25th percentile (lighter than average for her age and gender).
  • BMI: ~13.2 kg/m²
  • BMI Percentile: Approximately 10th percentile.

Interpretation: This child is taller than average but leaner. Her BMI percentile is on the lower side but still within the healthy range for her age. It's important to monitor her growth over time to ensure consistent progress. The calculation of average height and weight for children highlights these variations.

How to Use This Calculator

Using the Children's Average Height and Weight Calculator is straightforward. Follow these steps:

  1. Enter Age: Input the child's age in months. For example, a 4-year-old is 48 months.
  2. Select Gender: Choose "Male" or "Female" from the dropdown menu.
  3. Input Height: Measure the child's height in centimeters (cm) and enter the value.
  4. Input Weight: Measure the child's weight in kilograms (kg) and enter the value.
  5. Calculate: Click the "Calculate Growth" button.

Reading the Results:

  • Primary Result: The main highlighted number shows your child's height percentile. A value around 50% means they are at the average height for their age and gender. A higher percentile means they are taller than most children their age, and a lower percentile means they are shorter.
  • Weight Percentile: This shows where their weight falls compared to peers.
  • BMI Value & Percentile: BMI gives a general indication of body composition. The BMI percentile compares their BMI to others of the same age and gender, categorizing them as underweight, healthy weight, overweight, or obese.
  • Assumptions: This section confirms the age and gender used for the calculation, crucial for accurate interpretation of the average height and weight for children.

Decision-Making Guidance: These results are for informational purposes. Consult with a pediatrician or healthcare provider if you have concerns about your child's growth. Significant deviations from the average (e.g., consistently below the 3rd percentile or above the 97th percentile) warrant professional evaluation. However, remember that percentile fluctuations are normal, especially during rapid growth spurts or puberty.

Key Factors Affecting Growth

Several factors influence a child's height and weight, impacting where they fall on the growth charts. Understanding these can provide context to the average height and weight for children:

  1. Genetics: A child's genetic predisposition plays a significant role in their potential height and body frame. Parental height is a strong indicator.
  2. Nutrition: Adequate intake of essential nutrients (proteins, vitamins, minerals) is critical for proper bone growth and overall development. Malnutrition can stunt growth, while overconsumption of certain foods might contribute to excessive weight gain.
  3. Sleep: Growth hormone is primarily released during deep sleep. Insufficient or poor-quality sleep can negatively impact growth.
  4. Hormones: Hormones like growth hormone, thyroid hormone, and sex hormones regulate growth throughout childhood and puberty. Imbalances can lead to growth abnormalities.
  5. Chronic Illness: Long-term health conditions can affect nutrient absorption, energy levels, and hormonal balance, all of which can impact growth patterns.
  6. Physical Activity: Regular exercise supports healthy muscle development, bone density, and can help manage weight. Excessive sedentary behavior can contribute to obesity.
  7. Environmental Factors: Exposure to toxins, stress levels, and socioeconomic factors can indirectly influence a child's health and growth.
  8. Birth Size: While babies born small for gestational age often catch up, birth size can have an initial impact on growth trajectory.

Frequently Asked Questions (FAQ)

Q1: Is it bad if my child is not at the 50th percentile?
No, not necessarily. The 50th percentile is just the average. Children are considered within the normal growth range if they fall between the 3rd and 97th percentiles. Consistency in their growth curve is often more important than hitting a specific number. This calculator for average height and weight for children helps visualize this.
Q2: How often should I measure my child's height and weight?
For infants and toddlers, regular check-ups (e.g., every 3-6 months) with a pediatrician are common for growth monitoring. For older children, annual measurements are usually sufficient unless there are specific concerns.
Q3: Can my child's percentile change over time?
Yes, percentiles can change. Growth spurts, puberty, or changes in diet and activity levels can cause shifts. As long as the growth remains relatively steady on the chart and the child is healthy, occasional percentile changes are normal.
Q4: What is BMI percentile and why is it different from adult BMI?
BMI percentile for children takes into account their age and gender because body composition changes significantly as children grow. A BMI that might be considered overweight for an adult could be healthy for a rapidly growing child. This calculator uses age- and gender-specific charts.
Q5: Does this calculator diagnose growth disorders?
No, this calculator is an informational tool only. It does not diagnose medical conditions. If you suspect a growth disorder or have any concerns, please consult a qualified healthcare professional immediately.
Q6: What if my child's height and weight percentiles are very different?
A significant difference between height and weight percentiles (e.g., height at 75th percentile and weight at 10th percentile) warrants a discussion with a pediatrician. It might indicate a need to evaluate nutritional intake or other underlying factors contributing to their body composition.
Q7: Are these averages the same worldwide?
The World Health Organization (WHO) provides international growth standards for children up to age 5, and the CDC provides US-based growth charts. While generally similar, slight variations can exist due to population genetics and environmental factors. This calculator uses data broadly aligned with these global standards.
Q8: Can I use this calculator for premature babies?
This calculator is best suited for children born at term. Premature babies often require specialized growth charts that account for their corrected age (age from due date). It is recommended to consult with a neonatologist or pediatrician for growth tracking of premature infants.

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// Store baseline WHO/CDC-like data points (simplified for demonstration) // These are illustrative and actual percentiles are complex curves. // Data structure: { age_in_months: { gender: { percentile: value, height: cm, weight: kg, bmi: value } } } var growthData = { 3: { // 3 months male: { height_p50: 61, weight_p50: 6.5, bmi_p50: 16.5, height_p3: 56, height_p97: 67, weight_p3: 4.5, weight_p97: 8.5, bmi_p3: 14, bmi_p97: 19 }, female: { height_p50: 59, weight_p50: 5.9, bmi_p50: 16.0, height_p3: 54, height_p97: 65, weight_p3: 4.0, weight_p97: 7.9, bmi_p3: 13.5, bmi_p97: 18.5 } }, 6: { // 6 months male: { height_p50: 67, weight_p50: 7.7, bmi_p50: 15.8, height_p3: 63, height_p97: 72, weight_p3: 5.8, weight_p97: 10.0, bmi_p3: 13.8, bmi_p97: 18.5 }, female: { height_p50: 65, weight_p50: 7.0, bmi_p50: 15.5, height_p3: 61, height_p97: 70, weight_p3: 5.3, weight_p97: 9.3, bmi_p3: 13.3, bmi_p97: 18.0 } }, 12: { // 12 months male: { height_p50: 75, weight_p50: 9.8, bmi_p50: 14.0, height_p3: 70, height_p97: 81, weight_p3: 7.5, weight_p97: 12.5, bmi_p3: 12.5, bmi_p97: 17.0 }, female: { height_p50: 73, weight_p50: 9.1, bmi_p50: 13.8, height_p3: 68, height_p97: 79, weight_p3: 7.0, weight_p97: 11.8, bmi_p3: 12.3, bmi_p97: 16.5 } }, 18: { // 18 months male: { height_p50: 82, weight_p50: 11.5, bmi_p50: 13.5, height_p3: 76, height_p97: 89, weight_p3: 9.0, weight_p97: 14.5, bmi_p3: 12.0, bmi_p97: 16.5 }, female: { height_p50: 80, weight_p50: 10.7, bmi_p50: 13.3, height_p3: 75, height_p97: 87, weight_p3: 8.5, weight_p97: 13.5, bmi_p3: 11.8, bmi_p97: 16.0 } }, 24: { // 24 months (2 years) male: { height_p50: 88, weight_p50: 12.8, bmi_p50: 13.0, height_p3: 82, height_p97: 95, weight_p3: 10.0, weight_p97: 16.0, bmi_p3: 11.5, bmi_p97: 16.0 }, female: { height_p50: 86, weight_p50: 12.0, bmi_p50: 12.8, height_p3: 81, height_p97: 93, weight_p3: 9.5, weight_p97: 15.0, bmi_p3: 11.3, bmi_p97: 15.5 } }, 36: { // 36 months (3 years) male: { height_p50: 95, weight_p50: 14.5, bmi_p50: 15.3, height_p3: 88, height_p97: 103, weight_p3: 11.0, weight_p97: 18.0, bmi_p3: 13.0, bmi_p97: 18.0 }, female: { height_p50: 93, weight_p50: 13.7, bmi_p50: 15.0, height_p3: 87, height_p97: 101, weight_p3: 10.5, weight_p97: 17.0, bmi_p3: 12.8, bmi_p97: 17.5 } }, 48: { // 48 months (4 years) male: { height_p50: 102, weight_p50: 16.5, bmi_p50: 15.9, height_p3: 95, height_p97: 110, weight_p3: 12.5, weight_p97: 20.5, bmi_p3: 13.5, bmi_p97: 18.5 }, female: { height_p50: 100, weight_p50: 15.7, bmi_p50: 15.6, height_p3: 94, height_p97: 108, weight_p3: 12.0, weight_p97: 19.5, bmi_p3: 13.3, bmi_p97: 18.0 } }, 60: { // 60 months (5 years) male: { height_p50: 108, weight_p50: 18.5, bmi_p50: 16.1, height_p3: 101, height_p97: 116, weight_p3: 14.0, weight_p97: 23.0, bmi_p3: 13.8, bmi_p97: 19.0 }, female: { height_p50: 107, weight_p50: 17.8, bmi_p50: 15.9, height_p3: 100, height_p97: 115, weight_p3: 13.5, weight_p97: 22.0, bmi_p3: 13.6, bmi_p97: 18.5 } }, 72: { // 72 months (6 years) male: { height_p50: 115, weight_p50: 20.5, bmi_p50: 16.5, height_p3: 107, height_p97: 124, weight_p3: 15.5, weight_p97: 26.0, bmi_p3: 14.0, bmi_p97: 19.5 }, female: { height_p50: 114, weight_p50: 19.8, bmi_p50: 16.3, height_p3: 106, height_p97: 122, weight_p3: 15.0, weight_p97: 25.0, bmi_p3: 14.0, bmi_p97: 19.0 } }, 84: { // 84 months (7 years) male: { height_p50: 121, weight_p50: 22.8, bmi_p50: 16.7, height_p3: 113, height_p97: 131, weight_p3: 17.0, weight_p97: 29.5, bmi_p3: 14.3, bmi_p97: 20.0 }, female: { height_p50: 120, weight_p50: 22.0, bmi_p50: 16.5, height_p3: 112, height_p97: 129, weight_p3: 16.5, weight_p97: 28.0, bmi_p3: 14.2, bmi_p97: 19.5 } }, 96: { // 96 months (8 years) male: { height_p50: 127, weight_p50: 25.5, bmi_p50: 17.0, height_p3: 118, height_p97: 137, weight_p3: 19.0, weight_p97: 33.0, bmi_p3: 14.5, bmi_p97: 20.5 }, female: { height_p50: 126, weight_p50: 24.5, bmi_p50: 16.8, height_p3: 117, height_p97: 135, weight_p3: 18.5, weight_p97: 31.5, bmi_p3: 14.4, bmi_p97: 20.0 } }, 108: { // 108 months (9 years) male: { height_p50: 132, weight_p50: 28.5, bmi_p50: 17.2, height_p3: 123, height_p97: 142, weight_p3: 21.0, weight_p97: 36.5, bmi_p3: 14.7, bmi_p97: 21.0 }, female: { height_p50: 131, weight_p50: 27.0, bmi_p50: 17.0, height_p3: 122, height_p97: 140, weight_p3: 20.5, weight_p97: 34.5, bmi_p3: 14.6, bmi_p97: 20.5 } }, 120: { // 120 months (10 years) male: { height_p50: 138, weight_p50: 31.5, bmi_p50: 17.4, height_p3: 128, height_p97: 148, weight_p3: 23.0, weight_p97: 40.5, bmi_p3: 14.9, bmi_p97: 21.5 }, female: { height_p50: 137, weight_p50: 29.5, bmi_p50: 17.2, height_p3: 127, height_p97: 146, weight_p3: 22.5, weight_p97: 38.0, bmi_p3: 14.8, bmi_p97: 21.0 } }, 132: { // 132 months (11 years) male: { height_p50: 144, weight_p50: 35.0, bmi_p50: 17.8, height_p3: 133, height_p97: 155, weight_p3: 26.0, weight_p97: 45.0, bmi_p3: 15.2, bmi_p97: 22.5 }, female: { height_p50: 143, weight_p50: 33.5, bmi_p50: 17.5, height_p3: 132, height_p97: 152, weight_p3: 25.5, weight_p97: 42.0, bmi_p3: 15.1, bmi_p97: 21.5 } }, 144: { // 144 months (12 years) male: { height_p50: 150, weight_p50: 39.0, bmi_p50: 18.0, height_p3: 138, height_p97: 162, weight_p3: 29.0, weight_p97: 50.0, bmi_p3: 15.5, bmi_p97: 23.0 }, female: { height_p50: 149, weight_p50: 37.5, bmi_p50: 17.8, height_p3: 137, height_p97: 159, weight_p3: 28.5, weight_p97: 46.5, bmi_p3: 15.3, bmi_p97: 22.0 } }, 168: { // 168 months (14 years) male: { height_p50: 160, weight_p50: 47.0, bmi_p50: 18.2, height_p3: 147, height_p97: 172, weight_p3: 35.0, weight_p97: 60.0, bmi_p3: 15.8, bmi_p97: 23.5 }, female: { height_p50: 158, weight_p50: 45.0, bmi_p50: 17.9, height_p3: 145, height_p97: 169, weight_p3: 33.5, weight_p97: 55.0, bmi_p3: 15.7, bmi_p97: 22.5 } }, 192: { // 192 months (16 years) male: { height_p50: 170, weight_p50: 55.0, bmi_p50: 18.9, height_p3: 157, height_p97: 181, weight_p3: 41.0, weight_p97: 70.0, bmi_p3: 16.5, bmi_p97: 24.5 }, female: { height_p50: 164, weight_p50: 53.0, bmi_p50: 19.2, height_p3: 152, height_p97: 174, weight_p3: 39.0, weight_p97: 65.0, bmi_p3: 16.8, bmi_p97: 24.0 } }, 216: { // 216 months (18 years) male: { height_p50: 175, weight_p50: 63.0, bmi_p50: 20.5, height_p3: 165, height_p97: 187, weight_p3: 47.0, weight_p97: 78.0, bmi_p3: 17.5, bmi_p97: 25.5 }, female: { height_p50: 166, weight_p50: 58.0, bmi_p50: 20.9, height_p3: 155, height_p97: 176, weight_p3: 44.0, weight_p97: 70.0, bmi_p3: 17.8, bmi_p97: 25.0 } } }; // Function to find closest data point and interpolate function getGrowthMetrics(ageInMonths, gender, heightCm, weightKg) { var ageKey = Object.keys(growthData).sort(function(a, b) { return Math.abs(parseInt(a) – ageInMonths) – Math.abs(parseInt(b) – ageInMonths); })[0]; var dataPoint = growthData[ageKey][gender]; if (!dataPoint) { return { heightPercentile: NaN, weightPercentile: NaN, bmi: NaN, bmiPercentile: NaN, error: "Data not available for this age/gender combination." }; } // Simple linear interpolation between 3rd, 50th, and 97th percentiles for demonstration // In a real-world scenario, you'd use LMS parameters for WHO/CDC charts. var interpFactor = (ageInMonths – parseInt(ageKey)) / (getNearestAgeKey(ageInMonths) – parseInt(ageKey)); if (isNaN(interpFactor)) interpFactor = 0; // if ageInMonths is the exact ageKey var interpolatedData = {}; for (var key in dataPoint) { if (dataPoint.hasOwnProperty(key)) { interpolatedData[key] = dataPoint[key]; } } // For simplicity, we'll just use the closest age for now. // Real interpolation would involve more complex calculations using LMS values. // Calculate BMI var heightMeters = heightCm / 100; var bmi = weightKg / (heightMeters * heightMeters); bmi = parseFloat(bmi.toFixed(2)); // Approximate percentile calculation (very simplified) // This is a placeholder. Real percentile calculation requires complex statistical models (LMS method). // We'll map the input values to the nearest data points and estimate. var heightPercentile = approximatePercentile(heightCm, dataPoint.height_p3, dataPoint.height_p50, dataPoint.height_p97); var weightPercentile = approximatePercentile(weightKg, dataPoint.weight_p3, dataPoint.weight_p50, dataPoint.weight_p97); var bmiPercentile = approximatePercentile(bmi, dataPoint.bmi_p3, dataPoint.bmi_p50, dataPoint.bmi_p97); return { heightPercentile: Math.max(0, Math.min(100, heightPercentile)).toFixed(1), weightPercentile: Math.max(0, Math.min(100, weightPercentile)).toFixed(1), bmi: bmi, bmiPercentile: Math.max(0, Math.min(100, bmiPercentile)).toFixed(1) }; } function getNearestAgeKey(age) { var keys = Object.keys(growthData).map(Number); keys.sort(function(a, b) { return Math.abs(a – age) – Math.abs(b – age); }); return keys[0]; } // Very simplified percentile approximation based on 3rd, 50th, 97th function approximatePercentile(value, p3, p50, p97) { if (value = p97) return 100; if (value < p50) { return (value – p3) / (p50 – p3) * 48.5; // Scale between 3rd and 50th } else { return 50 + (value – p50) / (p97 – p50) * 48.5; // Scale between 50th and 97th } } function validateInput(id, errorId, minValue, maxValue) { var input = document.getElementById(id); var errorDiv = document.getElementById(errorId); var value = parseFloat(input.value); errorDiv.textContent = ''; // Clear previous error if (isNaN(value)) { errorDiv.textContent = 'Please enter a valid number.'; return false; } if (value maxValue) { errorDiv.textContent = 'Value exceeds maximum limit.'; return false; } return true; } function calculateGrowth() { var ageInput = document.getElementById('childAge'); var genderInput = document.getElementById('childGender'); var heightInput = document.getElementById('childHeight'); var weightInput = document.getElementById('childWeight'); var ageError = document.getElementById('childAgeError'); var heightError = document.getElementById('childHeightError'); var weightError = document.getElementById('childWeightError'); var isValid = true; if (!validateInput('childAge', 'childAgeError', 0)) isValid = false; if (!validateInput('childHeight', 'childHeightError', 0)) isValid = false; if (!validateInput('childWeight', 'childWeightError', 0)) isValid = false; if (!isValid) { document.getElementById('results').style.display = 'none'; return; } var ageInMonths = parseInt(ageInput.value); var gender = genderInput.value; var heightCm = parseFloat(heightInput.value); var weightKg = parseFloat(weightInput.value); var metrics = getGrowthMetrics(ageInMonths, gender, heightCm, weightKg); var resultsDiv = document.getElementById('results'); if (metrics.error) { resultsDiv.style.display = 'none'; // Handle specific error display if needed, e.g., showing error on inputs console.error(metrics.error); return; } document.getElementById('main-result').textContent = metrics.heightPercentile + '%'; document.getElementById('heightPercentile').innerHTML = 'Height Percentile: ' + metrics.heightPercentile + '%'; document.getElementById('weightPercentile').innerHTML = 'Weight Percentile: ' + metrics.weightPercentile + '%'; document.getElementById('bmiValue').innerHTML = 'BMI: ' + metrics.bmi + ' kg/m² (Percentile: ' + metrics.bmiPercentile + '%)'; document.getElementById('genderAssumption').innerHTML = 'Gender: ' + (gender === 'male' ? 'Male' : 'Female') + ''; document.getElementById('ageAssumption').innerHTML = 'Age: ' + ageInMonths + ' months'; resultsDiv.style.display = 'block'; drawChart(ageInMonths, gender, heightCm, weightKg, metrics); } function resetForm() { document.getElementById('childAge').value = 36; document.getElementById('childGender').value = 'male'; document.getElementById('childHeight').value = 95; document.getElementById('childWeight').value = 14; document.getElementById('childAgeError').textContent = "; document.getElementById('childHeightError').textContent = "; document.getElementById('childWeightError').textContent = "; document.getElementById('results').style.display = 'none'; var ctx = document.getElementById('growthChart').getContext('2d'); ctx.clearRect(0, 0, ctx.canvas.width, ctx.canvas.height); // Clear canvas } function copyResults() { var mainResult = document.getElementById('main-result').textContent; var heightPercentile = document.getElementById('heightPercentile').textContent.replace('Height Percentile: ', "); var weightPercentile = document.getElementById('weightPercentile').textContent.replace('Weight Percentile: ', "); var bmiValue = document.getElementById('bmiValue').textContent.replace('BMI: ', "); var gender = document.getElementById('genderAssumption').textContent.replace('Gender: ', "); var age = document.getElementById('ageAssumption').textContent.replace('Age: ', "); var copyText = "Child Growth Analysis:\n" + "Main Result (Height Percentile): " + mainResult + "\n" + heightPercentile + "\n" + weightPercentile + "\n" + bmiValue + "\n\n" + "Assumptions:\n" + gender + "\n" + age; var textarea = document.createElement('textarea'); textarea.value = copyText; textarea.setAttribute('readonly', "); textarea.style.position = 'absolute'; textarea.style.left = '-9999px'; document.body.appendChild(textarea); textarea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied!' : 'Failed to copy results.'; alert(msg); } catch (err) { alert('Oops, unable to copy'); } document.body.removeChild(textarea); } // Charting Functionality function drawChart(ageInMonths, gender, childHeight, childWeight, metrics) { var canvas = document.getElementById('growthChart'); var ctx = canvas.getContext('2d'); ctx.clearRect(0, 0, canvas.width, canvas.height); // Clear previous drawing var chartWidth = canvas.width; var chartHeight = canvas.height; var padding = 40; var chartAreaWidth = chartWidth – 2 * padding; var chartAreaHeight = chartHeight – 2 * padding; ctx.font = '14px Segoe UI'; ctx.textAlign = 'center'; // Draw axes ctx.strokeStyle = '#333'; ctx.lineWidth = 1; // Y-axis (Percentile) ctx.beginPath(); ctx.moveTo(padding, padding); ctx.lineTo(padding, chartHeight – padding); ctx.stroke(); var yLabelHeight = 100 / 5; // 5 intervals for 0-100 percentile for (var i = 0; i <= 5; i++) { var yPos = chartHeight – padding – (i * chartAreaHeight / 5); var percentileLabel = (100 – (i * 20)).toFixed(0) + '%'; ctx.fillText(percentileLabel, padding – 15, yPos + 5); ctx.beginPath(); ctx.moveTo(padding – 5, yPos); ctx.lineTo(padding, yPos); ctx.stroke(); } ctx.fillText('Percentile', padding – 15, padding / 2); // X-axis (Age in Months) ctx.beginPath(); ctx.moveTo(padding, chartHeight – padding); ctx.lineTo(chartWidth – padding, chartHeight – padding); ctx.stroke(); var xLabelWidth = chartAreaWidth / 5; // 5 intervals for age var ageLabels = []; var ageStart = Math.max(0, ageInMonths – 60); // Show range around current age var ageEnd = ageInMonths + 60; for (var i = 0; i 216) age = 216; // Max age in data ageLabels.push(age); var xPos = padding + (i * chartAreaWidth / 5); ctx.fillText(age + 'm', xPos, chartHeight – padding + 20); ctx.beginPath(); ctx.moveTo(xPos, chartHeight – padding); ctx.lineTo(xPos, chartHeight – padding – 5); ctx.stroke(); } ctx.fillText('Age (Months)', chartWidth – padding / 2, chartHeight – padding + 20); // Draw data points and lines ctx.lineWidth = 2; // Height Percentile Line ctx.strokeStyle = '#004a99'; // Blue for height ctx.beginPath(); var startX = padding; var startY = chartHeight – padding – (parseFloat(metrics.heightPercentile) * chartAreaHeight / 100); ctx.moveTo(startX, startY); // Add a second point for visual representation (representing older age) var futureAge = Math.min(ageInMonths + 12, 216); // Look 12 months ahead or max age var futureMetrics = getGrowthMetrics(futureAge, gender, childHeight + (childHeight * 0.05), childWeight + (childWeight * 0.05)); // Assume slight growth var endX = padding + chartAreaWidth * (futureAge – ageStart) / (ageEnd – ageStart); var endY = chartHeight – padding – (parseFloat(futureMetrics.heightPercentile) * chartAreaHeight / 100); ctx.lineTo(endX, endY); ctx.stroke(); ctx.beginPath(); ctx.arc(startX, startY, 5, 0, Math.PI * 2); // Current point marker ctx.fillStyle = '#004a99'; ctx.fill(); // Weight Percentile Line ctx.strokeStyle = '#28a745'; // Green for weight ctx.beginPath(); startX = padding; startY = chartHeight – padding – (parseFloat(metrics.weightPercentile) * chartAreaHeight / 100); ctx.moveTo(startX, startY); var futureMetricsWeight = getGrowthMetrics(futureAge, gender, childHeight, childWeight + (childWeight * 0.03)); // Assume slight weight gain endX = padding + chartAreaWidth * (futureAge – ageStart) / (ageEnd – ageStart); endY = chartHeight – padding – (parseFloat(futureMetricsWeight.weightPercentile) * chartAreaHeight / 100); ctx.lineTo(endX, endY); ctx.stroke(); ctx.beginPath(); ctx.arc(startX, startY, 5, 0, Math.PI * 2); // Current point marker ctx.fillStyle = '#28a745'; ctx.fill(); // Legend ctx.fillStyle = '#333'; ctx.textAlign = 'left'; ctx.fillText('Height Percentile (Blue)', padding, padding + 15); ctx.fillText('Weight Percentile (Green)', padding, padding + 35); ctx.textAlign = 'center'; // Reset alignment // Add current age marker var currentAgeX = padding + chartAreaWidth * (ageInMonths – ageStart) / (ageEnd – ageStart); ctx.beginPath(); ctx.moveTo(currentAgeX, padding); ctx.lineTo(currentAgeX, chartHeight – padding); ctx.setLineDash([5, 5]); ctx.strokeStyle = '#6c757d'; ctx.stroke(); ctx.setLineDash([]); // Reset dash ctx.fillStyle = '#004a99'; ctx.fillText(metrics.heightPercentile + '%', currentAgeX, chartHeight – padding – (parseFloat(metrics.heightPercentile) * chartAreaHeight / 100) – 10); ctx.fillStyle = '#28a745'; ctx.fillText(metrics.weightPercentile + '%', currentAgeX, chartHeight – padding – (parseFloat(metrics.weightPercentile) * chartAreaHeight / 100) – 10); } // Initial calculation on load window.onload = function() { calculateGrowth(); // Ensure chart is drawn initially if results are visible var resultsDiv = document.getElementById('results'); if (resultsDiv.style.display === 'block') { var ageInput = document.getElementById('childAge'); var genderInput = document.getElementById('childGender'); var heightInput = document.getElementById('childHeight'); var weightInput = document.getElementById('childWeight'); var ageInMonths = parseInt(ageInput.value); var gender = genderInput.value; var heightCm = parseFloat(heightInput.value); var weightKg = parseFloat(weightInput.value); // Recalculate metrics for chart drawing var metrics = getGrowthMetrics(ageInMonths, gender, heightCm, weightKg); drawChart(ageInMonths, gender, heightCm, weightKg, metrics); } };

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