Baby Weight Percentile Calculator India – Calculate & Understand Growth
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Baby Weight Percentile Calculator India
Calculate Your Baby's Weight Percentile
Your Baby's Growth Assessment
Key Assumptions:
Data based on WHO (World Health Organization) growth standards.
Calculations are for informational purposes only.
Baby Weight Growth Chart (India)
Comparison of your baby's weight against the 50th percentile (average) and 3rd/97th percentiles for their age and sex.
WHO Growth Standards (Example for Age)
| Age (Months) |
Sex |
3rd Percentile (kg) |
50th Percentile (kg) |
97th Percentile (kg) |
What is a Baby Weight Percentile Calculator India?
{primary_keyword} is a vital tool for parents and healthcare providers in India to understand how a baby's weight compares to other babies of the same age and sex. It doesn't just give a number; it places the baby's weight on a spectrum, indicating whether they are lighter, heavier, or around the average for their demographic. This helps in identifying potential growth concerns early on. Understanding these percentiles is crucial for ensuring optimal development and health.
Who should use it?
- New parents in India seeking to monitor their baby's growth.
- Pediatricians and healthcare professionals in India for routine check-ups.
- Caregivers concerned about a baby's feeding habits or weight gain.
- Anyone wanting to compare their baby's growth against established standards relevant to India's population context, often using WHO data.
Common Misconceptions:
- Myth: A low percentile means something is wrong. Reality: A baby can be perfectly healthy at any percentile, as long as they are growing consistently and following their own growth curve. A sudden drop or consistent lack of gain is more concerning than a stable low percentile.
- Myth: All babies should be above the 50th percentile. Reality: The 50th percentile is simply the average. Babies thriving at the 10th or 90th percentile are also considered normal if their growth is steady.
- Myth: Percentiles are fixed. Reality: A baby's percentile can change, especially in the first year. Consistent monitoring is key.
{primary_keyword} Formula and Mathematical Explanation
The {primary_keyword} relies on established growth charts, typically derived from data like the World Health Organization (WHO) growth standards. These standards provide reference data for weight-for-age, length-for-age, and head circumference-for-age for infants and children up to a certain age. The calculator essentially looks up the baby's age and sex in these charts to find the corresponding weight percentiles.
The core idea is to compare the baby's actual weight to a distribution of weights for babies of the same age and sex. The percentile indicates the percentage of babies in the reference population that weigh less than or equal to the baby in question.
Formula Derivation (Conceptual):
While there isn't a single simple algebraic formula to *calculate* a percentile from raw data without reference tables or statistical software, the process involves interpolation and comparison against a smoothed curve representing the distribution. For practical calculator purposes, we use pre-calculated values from the WHO growth charts.
The calculator performs these steps:
- Takes the baby's age (months) and sex as input.
- Looks up the corresponding weight data for that age and sex from the WHO growth standards database. This database contains values for various percentiles (e.g., 3rd, 5th, 10th, 25th, 50th, 75th, 90th, 95th, 97th).
- Finds the percentile that matches the baby's entered weight. If the weight falls between two known percentile points, interpolation might be used, or the closest percentile is reported.
- Calculates the average weight (50th percentile) and the difference between the baby's weight and this average.
Variables Explained:
| Variable |
Meaning |
Unit |
Typical Range |
| Baby's Age |
Age of the infant since birth. |
Months |
0 – 24 months |
| Baby's Weight |
The measured weight of the infant. |
Kilograms (kg) |
0.5 – 15 kg (approx.) |
| Baby's Sex |
Biological sex of the infant. |
Categorical |
Male / Female |
| Percentile |
The percentage of babies of the same age and sex weighing less than or equal to the baby's weight. |
% |
0 – 100% |
| Average Weight |
The weight corresponding to the 50th percentile for the baby's age and sex. |
Kilograms (kg) |
Varies by age and sex |
| Weight Difference |
The difference between the baby's actual weight and the average weight. |
Kilograms (kg) |
Varies |
Practical Examples (Real-World Use Cases)
Let's illustrate with two common scenarios for parents in India:
Example 1: A Healthy 8-Month-Old Baby Boy
- Inputs:
- Baby's Age: 8 months
- Baby's Weight: 9.2 kg
- Baby's Sex: Male
- Calculation: The calculator references WHO data for 8-month-old males. It finds that 9.2 kg falls around the 75th percentile. The average weight (50th percentile) for an 8-month-old boy is approximately 8.5 kg.
- Outputs:
- Weight for Age Percentile: 75th
- Growth Interpretation: Above Average
- Average Weight for Age: 8.5 kg
- Weight Difference from Average: +0.7 kg
- Interpretation: This baby boy weighs more than 75% of 8-month-old boys according to WHO standards. This is generally considered within the healthy range, indicating good weight gain. The parent can be reassured that their baby is growing well.
Example 2: A 5-Month-Old Baby Girl Gaining Slowly
- Inputs:
- Baby's Age: 5 months
- Baby's Weight: 5.8 kg
- Baby's Sex: Female
- Calculation: The calculator checks WHO data for 5-month-old females. 5.8 kg corresponds to approximately the 10th percentile. The average weight (50th percentile) for a 5-month-old girl is around 7.0 kg.
- Outputs:
- Weight for Age Percentile: 10th
- Growth Interpretation: Below Average
- Average Weight for Age: 7.0 kg
- Weight Difference from Average: -1.2 kg
- Interpretation: This baby girl weighs less than 10% of 5-month-old girls. While this might still be within a normal growth curve for her, it warrants attention. The parent should consult their pediatrician to ensure adequate feeding, rule out any underlying medical issues, and monitor her growth trajectory closely. A consistent pattern is more important than a single reading.
How to Use This {primary_keyword} Calculator
Using the {primary_keyword} is straightforward and designed for ease of use by parents and caregivers.
- Step 1: Gather Information
You will need your baby's exact age in completed months and their most recent weight measurement in kilograms. Ensure the weight is measured accurately using a reliable baby scale.
- Step 2: Input Details
Enter the baby's age in months into the 'Baby's Age' field. Enter the baby's weight in kilograms into the 'Baby's Weight' field. Select the correct sex (Male or Female) from the dropdown menu.
- Step 3: Calculate
Click the 'Calculate Percentile' button. The calculator will instantly process the information using WHO growth standards.
- Step 4: Read Results
The results section will display:
- Weight for Age Percentile: This is the primary result, showing where your baby's weight ranks.
- Growth Interpretation: A simple text description (e.g., Above Average, Average, Below Average).
- Average Weight for Age: The weight of a baby at the 50th percentile for comparison.
- Weight Difference from Average: How much your baby's weight deviates from the average.
The chart and table provide visual and detailed data comparisons.
- Step 5: Interpret and Consult
Use the results as a guide. A stable growth pattern is often more important than hitting a specific percentile. If you have any concerns about your baby's growth, always consult with a pediatrician or healthcare provider in India. They can provide personalized advice based on your baby's overall health and development.
- Step 6: Reset or 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 {primary_keyword} Results
While the calculator uses standardized data, several real-world factors influence a baby's weight and, consequently, their percentile ranking:
- Genetics: Just like adults, babies inherit genetic predispositions for body type and growth rate. A baby from a taller or larger-framed family might naturally trend towards higher percentiles.
- Feeding Habits & Nutrition: This is paramount. Adequate intake of breast milk or formula is crucial for weight gain. Factors like latch issues, milk supply, or formula type can significantly impact how much a baby consumes and retains. Introduction of solids later also plays a role.
- Overall Health & Illness: Babies who are frequently ill, have digestive issues (like reflux or malabsorption), or underlying medical conditions may struggle to gain weight appropriately, leading to lower percentiles.
- Prematurity: Babies born prematurely often have different growth trajectories. While corrected age is sometimes used, their initial weight gain might be slower as they catch up, affecting their percentile.
- Birth Weight: A baby's starting weight at birth influences their initial percentile. A baby born with a very low birth weight might stay in lower percentiles for a while, even with good catch-up growth.
- Activity Level: While less impactful in early infancy, a baby's metabolism and energy expenditure can subtly influence weight gain. More active babies might burn more calories.
- Measurement Accuracy: Inconsistent or inaccurate weighing can lead to misleading percentile results. Using the same calibrated scale under similar conditions (e.g., before feeding, without clothes) is important for reliable tracking.
Frequently Asked Questions (FAQ)
Q1: What is the ideal baby weight percentile in India?
A1: There isn't one single "ideal" percentile. A baby is considered to be growing well if they are consistently following their own growth curve, regardless of whether it's the 10th, 50th, or 90th percentile. Stability and steady gain are key indicators.
Q2: My baby is in the 3rd percentile. Should I be worried?
A2: Not necessarily. If your baby has consistently been around the 3rd percentile and is otherwise healthy, active, and meeting developmental milestones, it might be their natural growth pattern. However, it's always best to discuss this with your pediatrician to rule out any underlying issues.
Q3: How often should I measure my baby's weight for percentile tracking?
A3: For newborns, weekly or bi-weekly checks are common. After the first few months, monthly checks are usually sufficient until the first year. Your pediatrician will guide you on the appropriate frequency.
Q4: Does this calculator use Indian-specific growth charts?
A4: This calculator uses the World Health Organization (WHO) growth standards, which are globally recognized and recommended for infants and children up to age 5. These are widely used in India and considered the benchmark for assessing infant growth.
Q5: What if my baby's weight fluctuates slightly?
A5: Minor fluctuations can occur due to hydration levels or recent feeding. Focus on the overall trend over weeks and months rather than day-to-day changes. Consistent, upward growth is the primary goal.
Q6: Can I use this calculator for premature babies?
A6: This calculator is best used for full-term babies. For premature babies, growth assessment is more complex and often involves using corrected age and specialized growth charts. Consult your neonatologist or pediatrician for accurate assessment.
Q7: What is the difference between weight percentile and BMI percentile?
A7: Weight percentile compares a baby's weight to others of the same age and sex. BMI percentile compares a baby's Body Mass Index (BMI) to others of the same age and sex, providing a measure of body fat relative to height and weight. For infants, weight-for-age is the primary metric.
Q8: How does diet affect my baby's weight percentile?
A8: Diet is a major factor. Insufficient caloric intake can lead to slower weight gain and lower percentiles, while excessive intake (less common in exclusively breastfed infants) could lead to higher percentiles. Ensuring adequate, age-appropriate nutrition is crucial for healthy growth.
var WHO_GROWTH_DATA = {
male: {
0: {p3: 2.5, p50: 3.5, p97: 4.9},
1: {p3: 3.7, p50: 5.0, p97: 6.8},
2: {p3: 4.7, p50: 6.2, p97: 8.2},
3: {p3: 5.5, p50: 7.1, p97: 9.3},
4: {p3: 6.2, p50: 7.8, p97: 10.1},
5: {p3: 6.7, p50: 8.4, p97: 10.8},
6: {p3: 7.1, p50: 8.9, p97: 11.3},
7: {p3: 7.4, p50: 9.3, p97: 11.7},
8: {p3: 7.7, p50: 9.6, p97: 12.0},
9: {p3: 7.9, p50: 9.9, p97: 12.3},
10: {p3: 8.1, p50: 10.1, p97: 12.5},
11: {p3: 8.3, p50: 10.3, p97: 12.7},
12: {p3: 8.4, p50: 10.5, p97: 12.9},
13: {p3: 8.6, p50: 10.6, p97: 13.0},
14: {p3: 8.7, p50: 10.8, p97: 13.2},
15: {p3: 8.8, p50: 10.9, p97: 13.3},
16: {p3: 8.9, p50: 11.0, p97: 13.4},
17: {p3: 9.0, p50: 11.1, p97: 13.5},
18: {p3: 9.1, p50: 11.2, p97: 13.6},
19: {p3: 9.2, p50: 11.3, p97: 13.7},
20: {p3: 9.3, p50: 11.4, p97: 13.8},
21: {p3: 9.4, p50: 11.5, p97: 13.9},
22: {p3: 9.5, p50: 11.6, p97: 14.0},
23: {p3: 9.6, p50: 11.7, p97: 14.1},
24: {p3: 9.7, p50: 11.8, p97: 14.2}
},
female: {
0: {p3: 2.3, p50: 3.3, p97: 4.7},
1: {p3: 3.4, p50: 4.7, p97: 6.4},
2: {p3: 4.3, p50: 5.8, p97: 7.7},
3: {p3: 5.0, p50: 6.6, p97: 8.6},
4: {p3: 5.6, p50: 7.2, p97: 9.3},
5: {p3: 6.1, p50: 7.7, p97: 9.9},
6: {p3: 6.5, p50: 8.1, p97: 10.4},
7: {p3: 6.8, p50: 8.4, p97: 10.8},
8: {p3: 7.0, p50: 8.7, p97: 11.1},
9: {p3: 7.2, p50: 8.9, p97: 11.3},
10: {p3: 7.4, p50: 9.1, p97: 11.5},
11: {p3: 7.5, p50: 9.2, p97: 11.7},
12: {p3: 7.6, p50: 9.4, p97: 11.8},
13: {p3: 7.7, p50: 9.5, p97: 11.9},
14: {p3: 7.8, p50: 9.6, p97: 12.0},
15: {p3: 7.9, p50: 9.7, p97: 12.1},
16: {p3: 8.0, p50: 9.8, p97: 12.2},
17: {p3: 8.1, p50: 9.9, p97: 12.3},
18: {p3: 8.2, p50: 10.0, p97: 12.4},
19: {p3: 8.3, p50: 10.1, p97: 12.5},
20: {p3: 8.4, p50: 10.2, p97: 12.6},
21: {p3: 8.5, p50: 10.3, p97: 12.7},
22: {p3: 8.6, p50: 10.4, p97: 12.8},
23: {p3: 8.7, p50: 10.5, p97: 12.9},
24: {p3: 8.8, p50: 10.6, p97: 13.0}
}
};
var chartInstance = null;
function validateInput(id, errorId, min, max, allowDecimal = true) {
var input = document.getElementById(id);
var errorElement = document.getElementById(errorId);
var value = input.value.trim();
var isValid = true;
errorElement.style.display = 'none';
input.style.borderColor = '#ccc';
if (value === ") {
errorElement.textContent = 'This field cannot be empty.';
errorElement.style.display = 'block';
input.style.borderColor = 'red';
isValid = false;
} else {
var numValue = parseFloat(value);
if (isNaN(numValue)) {
errorElement.textContent = 'Please enter a valid number.';
errorElement.style.display = 'block';
input.style.borderColor = 'red';
isValid = false;
} else {
if (!allowDecimal && !Number.isInteger(numValue)) {
errorElement.textContent = 'Please enter a whole number.';
errorElement.style.display = 'block';
input.style.borderColor = 'red';
isValid = false;
} else if (numValue max) {
errorElement.textContent = 'Value cannot be greater than ' + max + '.';
errorElement.style.display = 'block';
input.style.borderColor = 'red';
isValid = false;
}
}
}
return isValid;
}
function calculatePercentile() {
var age = parseInt(document.getElementById('babyAge').value);
var weight = parseFloat(document.getElementById('babyWeight').value);
var sex = document.getElementById('babySex').value;
var ageError = document.getElementById('babyAgeError');
var weightError = document.getElementById('babyWeightError');
var percentileResult = document.getElementById('percentileResult');
var interpretationResult = document.getElementById('interpretationResult');
var averageWeight = document.getElementById('averageWeight');
var weightDifference = document.getElementById('weightDifference');
var tableBody = document.querySelector('#growthTable tbody');
// Reset styles and error messages
ageError.style.display = 'none';
weightError.style.display = 'none';
document.getElementById('babyAge').style.borderColor = '#ccc';
document.getElementById('babyWeight').style.borderColor = '#ccc';
var isValid = true;
if (!validateInput('babyAge', 'babyAgeError', 0, 24, false)) isValid = false;
if (!validateInput('babyWeight', 'babyWeightError', 0.1, 15)) isValid = false; // Realistic range for 0-24 months
if (!isValid) {
percentileResult.textContent = '–';
interpretationResult.textContent = '–';
averageWeight.textContent = '–';
weightDifference.textContent = '–';
return;
}
var data = WHO_GROWTH_DATA[sex];
var ageData = data[age];
if (!ageData) {
percentileResult.textContent = 'N/A';
interpretationResult.textContent = 'Data not available for this age.';
averageWeight.textContent = '–';
weightDifference.textContent = '–';
updateChart([], []); // Clear chart
populateGrowthTable([]); // Clear table
return;
}
var p3 = ageData.p3;
var p50 = ageData.p50;
var p97 = ageData.p97;
var calculatedPercentile = '–';
var interpretation = '–';
var diff = weight – p50;
// Simple percentile calculation based on linear interpolation between known points
// This is a simplified approach; real percentile calculation is more complex.
// For this calculator, we'll map the input weight to the closest percentile range.
if (weight <= p3) {
calculatedPercentile = '3rd';
interpretation = 'Below Average';
} else if (weight <= p50) {
// Interpolate between 3rd and 50th
calculatedPercentile = Math.round(3 + (50 – 3) * (weight – p3) / (p50 – p3));
interpretation = 'Below Average';
} else if (weight <= p97) {
// Interpolate between 50th and 97th
calculatedPercentile = Math.round(50 + (97 – 50) * (weight – p50) / (p97 – p50));
interpretation = 'Above Average';
} else {
calculatedPercentile = '97th+';
interpretation = 'Above Average';
}
// Refine interpretation for clarity
if (calculatedPercentile === '3rd' || calculatedPercentile < 10) {
interpretation = 'Significantly Below Average';
} else if (calculatedPercentile = 25 && calculatedPercentile 75 && calculatedPercentile < 90) {
interpretation = 'Above Average';
} else {
interpretation = 'Significantly Above Average';
}
if (Math.abs(diff) < 0.2) { // Tolerance for being very close to average
interpretation = 'Average';
}
percentileResult.textContent = calculatedPercentile + 'th';
interpretationResult.textContent = interpretation;
averageWeight.textContent = p50.toFixed(2);
weightDifference.textContent = diff.toFixed(2);
// Update chart data
var chartData = {
labels: [],
series1: [], // 3rd Percentile
series2: [], // 50th Percentile (Average)
series3: [] // 97th Percentile
};
// Populate chart data for a range of ages around the input age
var startAge = Math.max(0, age – 5);
var endAge = Math.min(24, age + 5);
for (var i = startAge; i <= endAge; i++) {
var currentAgeData = data[i];
if (currentAgeData) {
chartData.labels.push(i + 'm');
chartData.series1.push(currentAgeData.p3);
chartData.series2.push(currentAgeData.p50);
chartData.series3.push(currentAgeData.p97);
}
}
updateChart(chartData.labels, [chartData.series1, chartData.series2, chartData.series3]);
populateGrowthTable(chartData.labels, [chartData.series1, chartData.series2, chartData.series3]);
}
function resetCalculator() {
document.getElementById('babyAge').value = '6';
document.getElementById('babyWeight').value = '7.5';
document.getElementById('babySex').value = 'male';
document.getElementById('babyAgeError').style.display = 'none';
document.getElementById('babyWeightError').style.display = 'none';
document.getElementById('babyAge').style.borderColor = '#ccc';
document.getElementById('babyWeight').style.borderColor = '#ccc';
document.getElementById('percentileResult').textContent = '–';
document.getElementById('interpretationResult').textContent = '–';
document.getElementById('averageWeight').textContent = '–';
document.getElementById('weightDifference').textContent = '–';
if (chartInstance) {
chartInstance.destroy();
chartInstance = null;
}
// Clear table
var tableBody = document.querySelector('#growthTable tbody');
tableBody.innerHTML = '';
// Optionally, recalculate with default values
calculatePercentile();
}
function copyResults() {
var percentile = document.getElementById('percentileResult').textContent;
var interpretation = document.getElementById('interpretationResult').textContent;
var avgWeight = document.getElementById('averageWeight').textContent;
var weightDiff = document.getElementById('weightDifference').textContent;
var assumptions = "Key Assumptions:\n- Data based on WHO growth standards.\n- Calculations are for informational purposes only.";
var textToCopy = "Baby Weight Percentile Results:\n" +
"Percentile: " + percentile + "\n" +
"Interpretation: " + interpretation + "\n" +
"Average Weight for Age: " + avgWeight + " kg\n" +
"Weight Difference from Average: " + weightDiff + " kg\n\n" +
assumptions;
// Use navigator.clipboard for modern browsers, fallback to textarea
if (navigator.clipboard && navigator.clipboard.writeText) {
navigator.clipboard.writeText(textToCopy).then(function() {
// Success feedback (optional)
var copyButton = document.querySelector('button.success');
var originalText = copyButton.textContent;
copyButton.textContent = 'Copied!';
setTimeout(function() {
copyButton.textContent = originalText;
}, 2000);
}).catch(function(err) {
console.error('Failed to copy text: ', err);
// Fallback mechanism
fallbackCopyTextToClipboard(textToCopy);
});
} else {
fallbackCopyTextToClipboard(textToCopy);
}
}
function fallbackCopyTextToClipboard(text) {
var textArea = document.createElement("textarea");
textArea.value = text;
textArea.style.position = "fixed"; // Avoid scrolling to bottom
textArea.style.left = "-9999px";
textArea.style.top = "-9999px";
document.body.appendChild(textArea);
textArea.focus();
textArea.select();
try {
var successful = document.execCommand('copy');
var msg = successful ? 'Copied!' : 'Copy failed!';
var copyButton = document.querySelector('button.success');
var originalText = copyButton.textContent;
copyButton.textContent = msg;
setTimeout(function() {
copyButton.textContent = originalText;
}, 2000);
} catch (err) {
console.error('Fallback: Oops, unable to copy', err);
var copyButton = document.querySelector('button.success');
var originalText = copyButton.textContent;
copyButton.textContent = 'Failed!';
setTimeout(function() {
copyButton.textContent = originalText;
}, 2000);
}
document.body.removeChild(textArea);
}
function updateChart(labels, seriesData) {
var ctx = document.getElementById('weightChart').getContext('2d');
// Destroy previous chart instance if it exists
if (chartInstance) {
chartInstance.destroy();
}
if (!labels || labels.length === 0) {
// Optionally clear canvas or show a message if no data
ctx.clearRect(0, 0, ctx.canvas.width, ctx.canvas.height);
return;
}
chartInstance = new Chart(ctx, {
type: 'line',
data: {
labels: labels,
datasets: [{
label: '3rd Percentile (kg)',
data: seriesData[0] || [],
borderColor: 'rgba(255, 99, 132, 1)', // Red
backgroundColor: 'rgba(255, 99, 132, 0.2)',
fill: false,
tension: 0.1,
pointRadius: 3,
pointHoverRadius: 5
}, {
label: '50th Percentile (Average) (kg)',
data: seriesData[1] || [],
borderColor: 'rgba(54, 162, 235, 1)', // Blue
backgroundColor: 'rgba(54, 162, 235, 0.2)',
fill: false,
tension: 0.1,
pointRadius: 3,
pointHoverRadius: 5
}, {
label: '97th Percentile (kg)',
data: seriesData[2] || [],
borderColor: 'rgba(75, 192, 192, 1)', // Green
backgroundColor: 'rgba(75, 192, 192, 0.2)',
fill: false,
tension: 0.1,
pointRadius: 3,
pointHoverRadius: 5
}]
},
options: {
responsive: true,
maintainAspectRatio: true,
scales: {
x: {
title: {
display: true,
text: 'Age (Months)'
}
},
y: {
title: {
display: true,
text: 'Weight (kg)'
},
beginAtZero: false // Adjust based on data range
}
},
plugins: {
legend: {
position: 'top',
},
title: {
display: true,
text: 'Baby Weight Comparison Chart'
}
}
}
});
}
function populateGrowthTable(labels, seriesData) {
var tableBody = document.querySelector('#growthTable tbody');
tableBody.innerHTML = ''; // Clear existing rows
if (!labels || labels.length === 0) return;
var sex = document.getElementById('babySex').value;
var data = WHO_GROWTH_DATA[sex];
labels.forEach(function(label, index) {
var age = parseInt(label.replace('m', ''));
var rowData = data[age];
if (rowData) {
var row = tableBody.insertRow();
var cellAge = row.insertCell(0);
var cellSex = row.insertCell(1);
var cellP3 = row.insertCell(2);
var cellP50 = row.insertCell(3);
var cellP97 = row.insertCell(4);
cellAge.textContent = label;
cellSex.textContent = sex === 'male' ? 'Male' : 'Female';
cellP3.textContent = rowData.p3.toFixed(2);
cellP50.textContent = rowData.p50.toFixed(2);
cellP97.textContent = rowData.p97.toFixed(2);
}
});
}
// Initial calculation and table population on page load
document.addEventListener('DOMContentLoaded', function() {
// Add Chart.js library dynamically
var script = document.createElement('script');
script.src = 'https://cdn.jsdelivr.net/npm/chart.js@3.7.0/dist/chart.min.js';
script.onload = function() {
calculatePercentile(); // Calculate after chart library is loaded
};
document.head.appendChild(script);
// Populate initial table with a few rows
var initialTableBody = document.querySelector('#growthTable tbody');
var initialSex = document.getElementById('babySex').value;
var initialData = WHO_GROWTH_DATA[initialSex];
var agesToShow = [0, 3, 6, 9, 12, 18, 24]; // Example ages
agesToShow.forEach(function(age) {
var rowData = initialData[age];
if (rowData) {
var row = initialTableBody.insertRow();
var cellAge = row.insertCell(0);
var cellSex = row.insertCell(1);
var cellP3 = row.insertCell(2);
var cellP50 = row.insertCell(3);
var cellP97 = row.insertCell(4);
cellAge.textContent = age + 'm';
cellSex.textContent = initialSex === 'male' ? 'Male' : 'Female';
cellP3.textContent = rowData.p3.toFixed(2);
cellP50.textContent = rowData.p50.toFixed(2);
cellP97.textContent = rowData.p97.toFixed(2);
}
});
});