Boy Weight Percentile Calculator US – Calculate & Understand Growth
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Boy Weight Percentile Calculator
Your Results
—
This calculator uses the CDC (Centers for Disease Control and Prevention) growth charts for boys aged 0-20 years. The percentile indicates the child's weight relative to other boys of the same age. For example, the 50th percentile means the child weighs the same as 50% of other boys their age.
Boy's Weight
50th Percentile (Median)
Weight-for-Age Percentile Chart (Boys 0-24 Months)
| Age (Months) |
Weight (kg) at 50th Percentile |
Weight (kg) at 90th Percentile |
CDC Weight-for-Age Reference Data (Boys)
What is a Boy Weight Percentile Calculator US?
A Boy Weight Percentile Calculator US is a specialized tool designed to help parents, guardians, and healthcare providers assess a young boy's weight in relation to other boys of the same age in the United States. It utilizes data from the Centers for Disease Control and Prevention (CDC) growth charts, which are the standard for monitoring child development in the US. This calculator provides a percentile ranking, offering a snapshot of how a child's weight compares to the national average. Understanding these percentiles is crucial for tracking healthy growth patterns and identifying potential concerns early on.
Who should use it?
- Parents and guardians concerned about their child's growth.
- Pediatricians and family doctors during routine check-ups.
- Childcare providers monitoring developmental milestones.
- Anyone seeking to understand a boy's weight status relative to his peers.
Common Misconceptions:
- Myth: Higher percentile is always better. Reality: The 50th percentile is considered average. Both very high and very low percentiles can indicate potential issues, and a consistent growth trajectory is often more important than a specific percentile number.
- Myth: Percentiles are a diagnosis. Reality: Percentiles are a screening tool. They indicate a comparison but do not diagnose conditions. Further medical evaluation is needed if concerns arise.
- Myth: Percentiles are fixed. Reality: A child's percentile can change, especially in the first few years of life, as they establish their growth curve.
Boy Weight Percentile Calculator US Formula and Mathematical Explanation
The Boy Weight Percentile Calculator US doesn't rely on a single simple formula like a loan payment calculator. Instead, it interpolates values from pre-established CDC growth charts. These charts are based on extensive data collected from a representative sample of US children. The core idea is to find where a child's specific weight and age fall on a distribution curve.
How it works:
- Data Source: The calculator uses reference data points (weights at specific percentiles for given ages) derived from the CDC's Weight-for-Age charts for boys.
- Interpolation: When a child's age and weight are entered, the calculator finds the closest age data points on the CDC charts. It then interpolates (estimates) the percentile value between these known data points.
- Comparison: The calculated percentile represents the percentage of boys of the same age whose weight is *less than or equal to* the child's weight.
Variables Explained:
| Variable |
Meaning |
Unit |
Typical Range (for calculator input) |
| Age |
The child's age in months. |
Months |
0 – 24 (for the displayed chart/table) |
| Weight |
The child's measured weight. |
Kilograms (kg) |
> 0 |
| Percentile |
The child's weight rank compared to other boys of the same age. |
% |
0 – 100 |
| CDC Weight-for-Age |
The weight corresponding to the calculated percentile at the child's age, according to CDC charts. |
kg |
Varies based on age and percentile |
The calculator essentially performs a lookup and interpolation against the complex statistical data compiled by the CDC. For instance, if a boy is 12 months old and weighs 10.5 kg, the calculator will find where 10.5 kg falls between the 50th and 90th percentile weights for 12-month-old boys (or other relevant percentiles) to determine his exact percentile rank.
Practical Examples (Real-World Use Cases)
Understanding the Boy Weight Percentile Calculator US in action can clarify its utility.
Example 1: Monitoring a Toddler's Growth
Scenario: Sarah is concerned because her 18-month-old son, Leo, seems smaller than other children his age. She decides to use the calculator.
Inputs:
- Boy's Age: 18 months
- Boy's Weight: 9.8 kg
Calculator Output:
- Primary Result: 15th Percentile
- CDC Weight-for-Age: Approximately 9.8 kg (at the 15th percentile)
- Interpretation: Leo's weight is at the 15th percentile for his age. This means he weighs more than 15% of boys his age and less than 85%.
Interpretation: While Leo is on the lower end of the growth spectrum, his percentile is within the normal range (typically considered 5th to 95th percentile). Sarah can discuss this with her pediatrician to ensure his growth curve is consistent and he is meeting other developmental milestones. This data point helps facilitate a productive conversation with the doctor.
Example 2: Checking a Baby's Weight Gain
Scenario: Mark and Lisa recently had their 6-month-old son, Noah, weighed at his check-up. They want to see how his weight compares.
Inputs:
- Boy's Age: 6 months
- Boy's Weight: 7.5 kg
Calculator Output:
- Primary Result: 40th Percentile
- CDC Weight-for-Age: Approximately 7.5 kg (at the 40th percentile)
- Interpretation: Noah's weight is at the 40th percentile for his age. He weighs more than 40% of boys his age and less than 60%.
Interpretation: Noah's weight is comfortably in the middle range, slightly above average. This indicates healthy weight gain and development according to CDC standards. This information reassures Mark and Lisa that Noah is growing well.
How to Use This Boy Weight Percentile Calculator US
Using the Boy Weight Percentile Calculator US is straightforward and takes only a minute. Follow these steps:
- Measure Accurately: Ensure you have a recent and accurate measurement of your son's weight in kilograms (kg). If you only have pounds, you can convert using the formula: 1 kg = 2.20462 lbs.
- Determine Age in Months: Calculate your son's exact age in months. For example, 1 year and 6 months is 18 months.
- Enter Inputs: Input the age (in months) into the "Boy's Age (Months)" field and the weight (in kg) into the "Boy's Weight (kg)" field.
- Calculate: Click the "Calculate Percentile" button.
How to Read Results:
- Primary Result (Percentile): This is the main output. A percentile of 50 means your son weighs the same as 50% of boys his age. A percentile of 10 means he weighs more than 10% and less than 90%. A percentile of 90 means he weighs more than 90% and less than 10%.
- CDC Weight-for-Age: This shows the actual weight (in kg) that corresponds to the calculated percentile for a boy of the entered age, according to CDC data.
- Interpretation: A brief explanation of what the percentile means in simple terms.
Decision-Making Guidance:
- Normal Range: Generally, percentiles between the 5th and 95th are considered within the normal growth range.
- Consult a Doctor: If your son's percentile is consistently very low (below 5th) or very high (above 95th), or if his growth pattern changes significantly (e.g., drops or jumps several percentiles), it's essential to consult with his pediatrician.
- Focus on Trends: A single measurement is a snapshot. Consistent growth along a particular percentile curve is often a better indicator of health than the specific percentile number itself.
Use the calculator above to get your results instantly.
Key Factors That Affect Boy Weight Percentile Results
While the Boy Weight Percentile Calculator US provides a standardized comparison, several underlying factors influence a child's weight and, consequently, their percentile ranking. Understanding these can provide context to the results:
- Genetics: Just like height, a child's natural build and potential for weight gain are influenced by their parents' genetics. Some children are naturally leaner, while others tend to be heavier.
- Nutrition and Diet: The quality and quantity of food a child consumes directly impact their weight. Adequate intake of calories, protein, fats, vitamins, and minerals is essential for healthy growth. Conversely, poor nutrition or excessive intake of unhealthy foods can skew weight percentiles.
- Physical Activity Levels: Active children burn more calories, which can influence their weight. While important for overall health, very high activity levels combined with insufficient calorie intake could lead to a lower weight percentile.
- Metabolism: Individual metabolic rates vary. Some children naturally burn calories faster than others, affecting their ability to gain or lose weight.
- Health Conditions: Certain medical conditions, such as thyroid issues, digestive disorders (like celiac disease or Crohn's disease), or chronic illnesses, can significantly impact a child's weight and growth pattern.
- Prematurity: Babies born prematurely may take longer to "catch up" in terms of weight and height compared to full-term infants. Their growth charts might need adjustments initially.
- Sleep Patterns: Adequate sleep is crucial for growth and development, influencing hormone regulation that affects appetite and metabolism. Disrupted sleep can potentially impact weight gain.
- Infant Feeding Practices: Whether a baby is breastfed or formula-fed, and the frequency and amount of feeding, can influence early weight gain patterns.
It's important to remember that the percentile is just one piece of the puzzle. A pediatrician will consider these factors alongside the percentile data when assessing a child's overall health and growth trajectory. For more insights into child development, consider our Child Development Milestones Tracker.
Frequently Asked Questions (FAQ)
Q1: What is the ideal weight percentile for a boy?
A: There isn't one single "ideal" percentile. The 50th percentile is the average. Generally, percentiles between the 5th and 95th are considered within the normal growth range by the CDC. Consistency in growth is often more important than hitting a specific number.
Q2: My son is in the 90th percentile. Is he overweight?
A: The 90th percentile for weight means he weighs more than 90% of boys his age. While this is within the normal range, it's a good idea to discuss it with his pediatrician. They will consider his height percentile (BMI-for-age) and overall health to determine if any concerns exist. For more on BMI, check out our BMI Calculator.
Q3: My son is in the 10th percentile. Is he underweight?
A: The 10th percentile means he weighs more than 10% of boys his age. This is also generally considered within the normal range. However, if his weight has dropped significantly or he seems lethargic, consult his pediatrician. They can assess his overall health and nutritional status.
Q4: How often should I check my son's weight percentile?
A: Typically, weight and height are measured at regular pediatrician visits (e.g., every few months in infancy, then annually). You can use this calculator between visits for informational purposes, but always rely on your doctor's assessments for health decisions.
Q5: Does the calculator work for children older than 24 months?
A: The displayed chart and table are limited to 24 months for simplicity, as growth rates change significantly. However, the underlying CDC data extends to 20 years. For older children, focus on BMI-for-age percentiles, which are more indicative of weight status in older age groups. You can use our Child BMI Calculator for this.
Q6: What's the difference between weight percentile and BMI percentile?
A: Weight percentile compares a child's weight to others of the same age and sex. BMI percentile compares a child's Body Mass Index (BMI) to others of the same age and sex. BMI takes both height and weight into account, providing a better indicator of body fatness, especially for older children.
Q7: Can I use this calculator if my son was born prematurely?
A: For premature babies, doctors often use adjusted age and specific prematurity growth charts initially. While this calculator uses standard CDC charts, it's best to consult your pediatrician for the most accurate assessment of a premature infant's growth.
Q8: What if my son's weight and height are on different percentiles?
A: This is very common! A child might have a higher weight percentile than their height percentile, or vice versa. A pediatrician looks at both, along with the BMI-for-age percentile, to get a complete picture of growth. A consistent growth channel across measurements is often a positive sign.
// CDC Weight-for-Age Data for Boys (0-24 months) – Approximate values for interpolation
// Data source: CDC National Center for Health Statistics (NCHS) growth charts
// Values are approximate kg for specific percentiles at specific ages
var cdcData = [
{ ageMonths: 0, p3: 2.5, p5: 2.6, p10: 2.8, p25: 3.1, p50: 3.4, p75: 3.7, p90: 4.0, p95: 4.2, p97: 4.3 },
{ ageMonths: 1, p3: 3.5, p5: 3.7, p10: 3.9, p25: 4.3, p50: 4.6, p75: 5.0, p90: 5.4, p95: 5.7, p97: 5.9 },
{ ageMonths: 2, p3: 4.4, p5: 4.6, p10: 4.9, p25: 5.3, p50: 5.7, p75: 6.1, p90: 6.6, p95: 7.0, p97: 7.2 },
{ ageMonths: 3, p3: 5.2, p5: 5.4, p10: 5.7, p25: 6.2, p50: 6.6, p75: 7.1, p90: 7.6, p95: 8.0, p97: 8.3 },
{ ageMonths: 4, p3: 5.9, p5: 6.1, p10: 6.4, p25: 6.9, p50: 7.4, p75: 7.9, p90: 8.5, p95: 8.9, p97: 9.2 },
{ ageMonths: 5, p3: 6.5, p5: 6.7, p10: 7.0, p25: 7.5, p50: 8.1, p75: 8.6, p90: 9.2, p95: 9.7, p97: 10.0 },
{ ageMonths: 6, p3: 7.0, p5: 7.2, p10: 7.5, p25: 8.1, p50: 8.6, p75: 9.2, p90: 9.8, p95: 10.3, p97: 10.6 },
{ ageMonths: 7, p3: 7.5, p5: 7.7, p10: 8.0, p25: 8.6, p50: 9.1, p75: 9.7, p90: 10.3, p95: 10.9, p97: 11.2 },
{ ageMonths: 8, p3: 7.9, p5: 8.1, p10: 8.4, p25: 9.0, p50: 9.5, p75: 10.1, p90: 10.7, p95: 11.3, p97: 11.6 },
{ ageMonths: 9, p3: 8.3, p5: 8.5, p10: 8.8, p25: 9.4, p50: 9.9, p75: 10.5, p90: 11.1, p95: 11.7, p97: 12.0 },
{ ageMonths: 10, p3: 8.6, p5: 8.8, p10: 9.1, p25: 9.7, p50: 10.2, p75: 10.8, p90: 11.4, p95: 12.0, p97: 12.3 },
{ ageMonths: 11, p3: 8.9, p5: 9.1, p10: 9.4, p25: 10.0, p50: 10.5, p75: 11.1, p90: 11.7, p95: 12.3, p97: 12.6 },
{ ageMonths: 12, p3: 9.1, p5: 9.3, p10: 9.6, p25: 10.2, p50: 10.7, p75: 11.3, p90: 11.9, p95: 12.5, p97: 12.8 },
{ ageMonths: 13, p3: 9.3, p5: 9.5, p10: 9.8, p25: 10.4, p50: 10.9, p75: 11.5, p90: 12.1, p95: 12.7, p97: 13.0 },
{ ageMonths: 14, p3: 9.5, p5: 9.7, p10: 10.0, p25: 10.6, p50: 11.1, p75: 11.7, p90: 12.3, p95: 12.9, p97: 13.2 },
{ ageMonths: 15, p3: 9.7, p5: 9.9, p10: 10.2, p25: 10.8, p50: 11.3, p75: 11.9, p90: 12.5, p95: 13.1, p97: 13.4 },
{ ageMonths: 16, p3: 9.9, p5: 10.1, p10: 10.4, p25: 11.0, p50: 11.5, p75: 12.1, p90: 12.7, p95: 13.3, p97: 13.6 },
{ ageMonths: 17, p3: 10.1, p5: 10.3, p10: 10.6, p25: 11.2, p50: 11.7, p75: 12.3, p90: 12.9, p95: 13.5, p97: 13.8 },
{ ageMonths: 18, p3: 10.2, p5: 10.4, p10: 10.7, p25: 11.4, p50: 11.9, p75: 12.5, p90: 13.1, p95: 13.7, p97: 14.0 },
{ ageMonths: 19, p3: 10.4, p5: 10.6, p10: 10.9, p25: 11.6, p50: 12.1, p75: 12.7, p90: 13.3, p95: 13.9, p97: 14.2 },
{ ageMonths: 20, p3: 10.6, p5: 10.8, p10: 11.1, p25: 11.8, p50: 12.3, p75: 12.9, p90: 13.5, p95: 14.1, p97: 14.4 },
{ ageMonths: 21, p3: 10.7, p5: 10.9, p10: 11.3, p25: 11.9, p50: 12.5, p75: 13.1, p90: 13.7, p95: 14.3, p97: 14.6 },
{ ageMonths: 22, p3: 10.9, p5: 11.1, p10: 11.4, p25: 12.1, p50: 12.7, p75: 13.3, p90: 13.9, p95: 14.5, p97: 14.8 },
{ ageMonths: 23, p3: 11.0, p5: 11.2, p10: 11.6, p25: 12.3, p50: 12.8, p75: 13.5, p90: 14.1, p95: 14.7, p97: 15.0 },
{ ageMonths: 24, p3: 11.2, p5: 11.4, p10: 11.7, p25: 12.4, p50: 13.0, p75: 13.7, p90: 14.3, p95: 14.9, p97: 15.2 }
];
var chartInstance = null; // To hold the chart instance
function getPercentileData(ageMonths, weightKg) {
var ageMonths = parseFloat(ageMonths);
var weightKg = parseFloat(weightKg);
if (isNaN(ageMonths) || isNaN(weightKg) || ageMonths <= 0 || weightKg <= 0) {
return { percentile: NaN, cdcWeight: NaN, interpretation: "Invalid input." };
}
// Find the data points surrounding the given age
var lowerDataPoint = null;
var upperDataPoint = null;
for (var i = 0; i < cdcData.length; i++) {
if (cdcData[i].ageMonths === ageMonths) {
lowerDataPoint = cdcData[i];
upperDataPoint = cdcData[i];
break;
} else if (cdcData[i].ageMonths ageMonths && lowerDataPoint) {
upperDataPoint = cdcData[i];
break;
}
}
if (!lowerDataPoint) {
return { percentile: NaN, cdcWeight: NaN, interpretation: "Age out of range for available data." };
}
var percentile;
var cdcWeightAtPercentile;
// If age matches exactly or we only have one data point
if (lowerDataPoint === upperDataPoint) {
percentile = findPercentileFromWeights(weightKg, lowerDataPoint);
cdcWeightAtPercentile = lowerDataPoint.p50; // Use 50th percentile as reference for CDC Weight-for-Age
} else {
// Interpolate between lower and upper data points
var ageRatio = (ageMonths – lowerDataPoint.ageMonths) / (upperDataPoint.ageMonths – lowerDataPoint.ageMonths);
var interpolatedP50 = lowerDataPoint.p50 + ageRatio * (upperDataPoint.p50 – lowerDataPoint.p50);
cdcWeightAtPercentile = interpolatedP50; // Use interpolated 50th percentile weight
percentile = interpolatePercentile(weightKg, lowerDataPoint, upperDataPoint, ageRatio);
}
var interpretation = "";
if (isNaN(percentile)) {
interpretation = "Could not determine percentile.";
} else if (percentile = 5 && percentile = 10 && percentile 90 && percentile 95) {
interpretation = "Weight is above the 95th percentile. Consider consulting a pediatrician.";
}
return { percentile: percentile, cdcWeight: cdcWeightAtPercentile, interpretation: interpretation };
}
// Helper function to find percentile for a given weight at a specific age data point
function findPercentileFromWeights(weight, dataPoint) {
var percentiles = { p3: 3, p5: 5, p10: 10, p25: 25, p50: 50, p75: 75, p90: 90, p95: 95, p97: 97 };
var weights = { p3: dataPoint.p3, p5: dataPoint.p5, p10: dataPoint.p10, p25: dataPoint.p25, p50: dataPoint.p50, p75: dataPoint.p75, p90: dataPoint.p90, p95: dataPoint.p95, p97: dataPoint.p97 };
var foundPercentile = NaN;
// Check if weight matches a known percentile exactly
for (var p in weights) {
if (Math.abs(weights[p] – weight) < 0.01) { // Allow for small floating point differences
foundPercentile = percentiles[p];
break;
}
}
// If not exact, interpolate between known points
if (isNaN(foundPercentile)) {
var sortedPercentiles = [3, 5, 10, 25, 50, 75, 90, 95, 97];
var sortedWeights = [dataPoint.p3, dataPoint.p5, dataPoint.p10, dataPoint.p25, dataPoint.p50, dataPoint.p75, dataPoint.p90, dataPoint.p95, dataPoint.p97];
for (var i = 0; i = sortedWeights[i] && weight <= sortedWeights[i+1]) {
var ratio = (weight – sortedWeights[i]) / (sortedWeights[i+1] – sortedWeights[i]);
foundPercentile = sortedPercentiles[i] + ratio * (sortedPercentiles[i+1] – sortedPercentiles[i]);
break;
}
}
// Handle cases outside the known range
if (isNaN(foundPercentile)) {
if (weight sortedWeights[sortedWeights.length – 1]) foundPercentile = sortedPercentiles[sortedPercentiles.length – 1];
}
}
return foundPercentile;
}
// Interpolate percentile between two age data points
function interpolatePercentile(weight, lowerData, upperData, ageRatio) {
var lowerPercentile = findPercentileFromWeights(weight, lowerData);
var upperPercentile = findPercentileFromWeights(weight, upperData);
if (isNaN(lowerPercentile) || isNaN(upperPercentile)) {
return NaN; // Cannot interpolate if one is NaN
}
// Linear interpolation based on age ratio
return lowerPercentile + ageRatio * (upperPercentile – lowerPercentile);
}
function validateInput(id, errorId, min, max) {
var input = document.getElementById(id);
var errorElement = document.getElementById(errorId);
var value = input.value.trim();
var isValid = true;
errorElement.style.display = 'none'; // Hide error initially
if (value === "") {
errorElement.textContent = "This field is required.";
errorElement.style.display = 'block';
isValid = false;
} else {
var numValue = parseFloat(value);
if (isNaN(numValue)) {
errorElement.textContent = "Please enter a valid number.";
errorElement.style.display = 'block';
isValid = false;
} else if (numValue <= 0) {
errorElement.textContent = "Value must be positive.";
errorElement.style.display = 'block';
isValid = false;
} else if (min !== undefined && numValue max) {
errorElement.textContent = "Value cannot exceed " + max + ".";
errorElement.style.display = 'block';
isValid = false;
}
}
return isValid;
}
function calculatePercentile() {
var ageInput = document.getElementById("boyAgeMonths");
var weightInput = document.getElementById("boyWeightKg");
var ageValid = validateInput("boyAgeMonths", "ageError", 0);
var weightValid = validateInput("boyWeightKg", "weightError", 0);
if (!ageValid || !weightValid) {
document.getElementById("mainResult").textContent = "–";
document.getElementById("percentileValue").textContent = "Percentile: –";
document.getElementById("cdcWeightForAge").textContent = "CDC Weight-for-Age: –";
document.getElementById("growthInterpretation").textContent = "Interpretation: –";
updateChart([], []); // Clear chart
populateTable([]); // Clear table
return;
}
var ageMonths = parseFloat(ageInput.value);
var weightKg = parseFloat(weightInput.value);
var result = getPercentileData(ageMonths, weightKg);
var mainResultElement = document.getElementById("mainResult");
var percentileValueElement = document.getElementById("percentileValue");
var cdcWeightForAgeElement = document.getElementById("cdcWeightForAge");
var growthInterpretationElement = document.getElementById("growthInterpretation");
if (!isNaN(result.percentile)) {
mainResultElement.textContent = Math.round(result.percentile) + "th";
percentileValueElement.textContent = "Percentile: " + Math.round(result.percentile) + "%";
cdcWeightForAgeElement.textContent = "CDC Weight-for-Age: " + result.cdcWeight.toFixed(2) + " kg";
growthInterpretationElement.textContent = "Interpretation: " + result.interpretation;
} else {
mainResultElement.textContent = "N/A";
percentileValueElement.textContent = "Percentile: N/A";
cdcWeightForAgeElement.textContent = "CDC Weight-for-Age: N/A";
growthInterpretationElement.textContent = "Interpretation: " + result.interpretation;
}
updateChart([ageMonths], [weightKg]);
populateTable(ageMonths);
}
function resetCalculator() {
document.getElementById("boyAgeMonths").value = "12"; // Sensible default
document.getElementById("boyWeightKg").value = "9.5"; // Sensible default
document.getElementById("ageError").style.display = 'none';
document.getElementById("weightError").style.display = 'none';
calculatePercentile(); // Recalculate with defaults
}
function copyResults() {
var mainResult = document.getElementById("mainResult").textContent;
var percentileValue = document.getElementById("percentileValue").textContent;
var cdcWeightForAge = document.getElementById("cdcWeightForAge").textContent;
var interpretation = document.getElementById("growthInterpretation").textContent;
var ageInput = document.getElementById("boyAgeMonths").value;
var weightInput = document.getElementById("boyWeightKg").value;
var resultsText = "Boy Weight Percentile Results:\n\n";
resultsText += "Age: " + ageInput + " months\n";
resultsText += "Weight: " + weightInput + " kg\n\n";
resultsText += "——————–\n";
resultsText += "Main Result: " + mainResult + "\n";
resultsText += percentileValue + "\n";
resultsText += cdcWeightForAge + "\n";
resultsText += interpretation + "\n\n";
resultsText += "Key Assumptions:\n";
resultsText += "- Data based on CDC US growth charts.\n";
resultsText += "- Percentile indicates comparison to other boys of the same age.\n";
// Use a temporary textarea to copy text
var textArea = document.createElement("textarea");
textArea.value = resultsText;
textArea.style.position = "fixed";
textArea.style.left = "-9999px";
document.body.appendChild(textArea);
textArea.focus();
textArea.select();
try {
var successful = document.execCommand('copy');
var msg = successful ? 'Results copied!' : 'Copying failed';
// Optionally show a temporary message to the user
var copyButton = document.querySelector('.copy-button');
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('.copy-button');
var originalText = copyButton.textContent;
copyButton.textContent = 'Copy Failed';
setTimeout(function() { copyButton.textContent = originalText; }, 2000);
}
document.body.removeChild(textArea);
}
function updateChart(inputAge, inputWeight) {
var ctx = document.getElementById('growthChart').getContext('2d');
// Destroy previous chart instance if it exists
if (chartInstance) {
chartInstance.destroy();
}
var chartData = {
labels: [], // Age in months
datasets: [
{
label: "Boy's Weight",
data: [], // Weight in kg
borderColor: 'var(–primary-color)',
backgroundColor: 'rgba(0, 74, 153, 0.2)',
fill: false,
pointRadius: 5,
pointHoverRadius: 7,
tension: 0.1
},
{
label: "50th Percentile (Median)",
data: [], // Weight in kg
borderColor: '#6c757d',
backgroundColor: 'rgba(108, 117, 125, 0.2)',
fill: false,
pointRadius: 0, // No points for the median line
borderDash: [5, 5], // Dashed line
tension: 0.1
}
]
};
// Populate chart data with CDC reference points up to 24 months
var chartMaxAge = 24;
var dataPointsForChart = cdcData.filter(d => d.ageMonths 0 && inputWeight.length > 0) {
var userAge = parseFloat(inputAge[0]);
var userWeight = parseFloat(inputWeight[0]);
if (!isNaN(userAge) && !isNaN(userWeight) && userAge > 0 && userWeight > 0) {
// Find the closest index in chartData.labels or add if out of range
var insertIndex = chartData.labels.findIndex(age => age >= userAge);
if (insertIndex === -1) { // Age is greater than max chart age
chartData.labels.push(userAge);
chartData.datasets[0].data.push(userWeight);
chartData.datasets[1].data.push(null); // No median for this age
} else {
// Insert the user's data point at the correct position
chartData.labels.splice(insertIndex, 0, userAge);
chartData.datasets[0].data.splice(insertIndex, 0, userWeight);
chartData.datasets[1].data.splice(insertIndex, 0, null); // No median for this inserted point
}
}
}
var options = {
responsive: true,
maintainAspectRatio: false,
scales: {
x: {
title: {
display: true,
text: 'Age (Months)'
},
min: 0,
max: chartMaxAge + 2 // Extend slightly beyond max data
},
y: {
title: {
display: true,
text: 'Weight (kg)'
},
beginAtZero: true,
min: 0,
// Dynamically set max based on data, ensuring it covers user input and median
max: Math.max(…chartData.datasets[1].data.filter(d => d !== null), …chartData.datasets[0].data.filter(d => d !== null)) * 1.1 || 15 // Default max if no data
}
},
plugins: {
tooltip: {
callbacks: {
label: function(context) {
var label = context.dataset.label || ";
if (label) {
label += ': ';
}
if (context.parsed.y !== null) {
label += context.parsed.y.toFixed(2) + ' kg';
}
return label;
}
}
}
}
};
chartInstance = new Chart(ctx, {
type: 'line',
data: chartData,
options: options
});
}
function populateTable(currentAge) {
var tableBody = document.getElementById("percentileTableBody");
tableBody.innerHTML = ""; // Clear existing rows
var maxTableAge = 24; // Show data up to 24 months
var dataPointsForTable = cdcData.filter(d => d.ageMonths <= maxTableAge);
dataPointsForTable.forEach(function(data) {
var row = tableBody.insertRow();
var cellAge = row.insertCell(0);
var cellP50 = row.insertCell(1);
var cellP90 = row.insertCell(2);
cellAge.textContent = data.ageMonths === 0 ? "Birth" : data.ageMonths;
cellP50.textContent = data.p50.toFixed(2);
cellP90.textContent = data.p90.toFixed(2);
// Highlight the row corresponding to the current age if provided
if (currentAge && data.ageMonths === currentAge) {
row.style.backgroundColor = "#e7f3ff";
row.style.fontWeight = "bold";
}
});
}
// Initial calculation and chart/table population on 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() {
resetCalculator(); // Set defaults and calculate
updateChart([], []); // Initialize empty chart
populateTable(null); // Populate table without highlighting
};
document.head.appendChild(script);
});