This calculator helps you assess your child's weight based on their age and sex, comparing it against Australian growth standards.
Enter the child's age in completed months.
Enter the child's current weight in kilograms.
Male
Female
Select the child's sex.
Your Child's Growth Assessment
—
—
Lower End of Healthy Range (kg)
—
Upper End of Healthy Range (kg)
—
Estimated Percentile
How it works: This calculator uses data from the World Health Organization (WHO) and Australian national health guidelines to determine healthy weight ranges for children based on age and sex. It estimates where your child's weight falls on the growth charts.
What is a Child Weight Calculator Australia?
A Child Weight Calculator Australia is a digital tool designed to help parents, guardians, and healthcare professionals assess whether a child's weight is within the healthy range for their age and sex, according to Australian growth standards. These calculators typically use established growth charts and data, such as those provided by the World Health Organization (WHO) and adapted for Australian contexts, to provide an estimated percentile or a range of healthy weights. It's crucial to understand that these are not diagnostic tools but rather guides for monitoring growth patterns.
Who Should Use It?
The primary users of a Child Weight Calculator Australia include:
Parents and Guardians: To gain a general understanding of their child's growth trajectory and to identify potential concerns early on.
Healthcare Professionals: paediatricians, general practitioners, and maternal and child health nurses can use these tools as a quick reference alongside their clinical assessments and official growth charts.
Childcare Providers: For general awareness and to encourage healthy eating habits.
Common Misconceptions
Several misconceptions surround child weight calculators:
"It gives a definitive diagnosis": These calculators provide an estimate based on statistical data. A healthcare professional's assessment is always necessary for diagnosis.
"Every child fits the chart perfectly": Children are individuals. Genetics, ethnicity, and specific health conditions can influence growth patterns outside the typical ranges.
"Focusing solely on weight is enough": Healthy development involves more than just weight. Factors like height, body composition, activity levels, and overall diet are equally important.
"The numbers are always exact": Data from growth charts represents averages and ranges. Slight variations are normal.
Utilising a Child Weight Calculator Australia effectively means understanding its purpose as a monitoring aid, not a definitive medical judgment.
Child Weight Calculator Australia Formula and Mathematical Explanation
The core of a Child Weight Calculator Australia relies on referencing established growth percentiles. Instead of a single formula, it's more about interpolating data from growth charts, which are derived from extensive statistical analysis of large populations. These charts plot weight-for-age (and often height-for-age) and show different percentile curves.
How Growth Percentiles Work
A percentile indicates the percentage of children in a reference population that fall at or below a specific measurement. For instance:
The 50th percentile is the median – half the children are heavier, and half are lighter.
The 3rd percentile represents the lower limit of the typical range.
The 97th percentile represents the upper limit of the typical range.
For a Child Weight Calculator Australia, the calculator essentially looks up the child's age and sex in a database or a set of algorithms derived from these charts to find the corresponding weight values for specific percentiles (e.g., 3rd and 97th) and often estimates the child's own percentile.
Variables and Data Used
The key variables input into the calculator are:
Variable
Meaning
Unit
Typical Range
Child's Age
Age of the child since birth
Months
0 – 60 months (0-5 years) typically
Child's Weight
Current measured weight of the child
Kilograms (kg)
0.5 kg – 30 kg (highly variable by age)
Child's Sex
Biological sex of the child
Male / Female
N/A
Variables used in the Child Weight Calculator Australia
Mathematical Basis
The underlying data typically comes from the World Health Organization (WHO) Child Growth Standards or similar national datasets. These standards are often represented by mathematical models (like the LMS method – Lambda, Mu, Sigma) that describe the distribution of measurements (weight, height, head circumference) for age and sex. The calculator uses these models or pre-computed tables derived from them to:
Calculate Lower/Upper Bounds: Determine the weight corresponding to the 3rd and 97th percentiles for the given age and sex.
Estimate Child's Percentile: Calculate the percentile rank of the child's actual weight relative to the established distribution for their age and sex.
This process allows the Child Weight Calculator Australia to place a child's weight within the context of typical growth patterns.
Practical Examples (Real-World Use Cases)
Let's explore how a Child Weight Calculator Australia can be used with practical examples.
Example 1: Assessing a Toddler's Growth
Scenario: Sarah is a concerned mother whose 24-month-old son, Leo, is a picky eater. She wants to check his weight against Australian standards.
Child's Age: 24 Months
Child's Weight: 11.2 kg
Child's Sex: Male
Calculator Output:
Main Result: Estimated 25th Percentile
Lower End of Healthy Range: ~9.5 kg (3rd Percentile)
Upper End of Healthy Range: ~14.8 kg (97th Percentile)
Formula Explanation: Using WHO growth standards for 24-month-old males, 11.2 kg falls approximately at the 25th percentile.
Interpretation: Leo's weight is within the healthy range, sitting slightly below the median but well above the lower threshold. While his percentile isn't concerning, Sarah might still want to discuss strategies for encouraging a more varied diet with her maternal health nurse to ensure optimal nutrient intake for his development.
Example 2: Monitoring an Infant's Weight Gain
Scenario: David and Chloe welcomed their daughter, Mia, 6 months ago. They are using the calculator to track her progress.
Child's Age: 6 Months
Child's Weight: 7.8 kg
Child's Sex: Female
Calculator Output:
Main Result: Estimated 75th Percentile
Lower End of Healthy Range: ~5.8 kg (3rd Percentile)
Upper End of Healthy Range: ~10.5 kg (97th Percentile)
Formula Explanation: For 6-month-old females, a weight of 7.8 kg corresponds roughly to the 75th percentile according to WHO growth data.
Interpretation: Mia is tracking well, with her weight comfortably within the healthy range and above the median. This indicates good weight gain and development for her age. The parents can continue to follow their healthcare provider's advice on feeding and introducing solids.
These examples highlight how the Child Weight Calculator Australia provides context for a child's weight, facilitating informed conversations with healthcare providers about their growth and nutritional status.
How to Use This Child Weight Calculator Australia
Using our Child Weight Calculator Australia is straightforward. Follow these steps to get an estimate of your child's growth percentile:
Step-by-Step Instructions:
Enter Child's Age: Input the child's current age in months. Be as accurate as possible. For example, if your child is 1 year and 6 months old, enter '18'.
Enter Child's Weight: Accurately measure and enter your child's weight in kilograms (kg). Use a reliable baby scale for infants and a standard scale for older children.
Select Child's Sex: Choose 'Male' or 'Female' from the dropdown menu. Growth patterns can differ slightly between sexes.
Click 'Calculate': Once all fields are filled, press the 'Calculate' button.
How to Read Results:
Main Result (Estimated Percentile): This number (e.g., 50th Percentile) indicates that your child weighs the same or more than this percentage of children of the same age and sex in the reference population.
Lower End of Healthy Range (3rd Percentile): This is the lower limit of what is considered a typical weight range.
Upper End of Healthy Range (97th Percentile): This is the upper limit of what is considered a typical weight range.
Formula Explanation: Provides a brief overview of the data source and method used.
If your child's weight falls between the 3rd and 97th percentiles, they are generally considered to be within the healthy growth range.
Decision-Making Guidance:
Within Healthy Range: Continue regular monitoring and follow feeding guidelines recommended by your healthcare provider. Focus on a balanced diet and active play.
Below Lower Range (Less than 3rd Percentile): Consult your paediatrician or maternal and child health nurse. They will assess other factors like height, feeding patterns, and overall development to rule out any underlying issues.
Above Upper Range (Greater than 97th Percentile): Discuss concerns with your healthcare provider. They can assess nutritional intake, activity levels, and overall health to provide guidance on maintaining a healthy weight.
Remember, this Child Weight Calculator Australia is a tool to aid understanding. Always rely on professional medical advice for health decisions.
Key Factors That Affect Child Weight Results
While a Child Weight Calculator Australia provides a useful snapshot, several factors influence a child's weight and how it compares to growth standards:
Genetics: A child's genetic predisposition plays a significant role in their body frame and metabolism. Some children are naturally leaner or more robust than others, even within the same age group.
Diet and Nutrition: The quality and quantity of food consumed directly impact weight. Balanced nutrition supports healthy growth, while inadequate intake or excessive consumption of certain foods can affect weight status. This includes breastfeeding vs. formula feeding in infancy and the introduction of solids.
Physical Activity Levels: Children who are more active tend to burn more calories, which can influence their weight. Conversely, sedentary lifestyles can contribute to weight gain.
Health Conditions: Certain medical conditions, such as thyroid issues, digestive disorders, or chronic illnesses, can significantly affect a child's appetite, nutrient absorption, and metabolism, thereby impacting their weight.
Prematurity and Birth Weight: Premature babies or those born with very low or very high birth weights may follow different growth trajectories initially. Healthcare providers often use specific adjusted age calculations for premature infants.
Medications: Some medications can have side effects that influence appetite or metabolism, potentially affecting a child's weight.
Sleep Patterns: Emerging research suggests that adequate sleep is crucial for hormonal regulation, including those affecting appetite and metabolism, which can indirectly influence weight.
Socioeconomic Factors: Access to nutritious food, safe environments for physical activity, and healthcare can be influenced by socioeconomic status, indirectly impacting a child's weight and growth patterns.
Understanding these factors provides a more holistic view beyond the numbers generated by a Child Weight Calculator Australia and is essential for a complete picture of a child's health.
Frequently Asked Questions (FAQ)
Is this Child Weight Calculator Australia a substitute for professional medical advice?
No, absolutely not. This calculator is an informational tool based on general growth standards. It cannot diagnose any medical condition. Always consult with a qualified healthcare professional (like a GP, paediatrician, or maternal and child health nurse) for any concerns about your child's health, growth, or development.
What are Australian growth standards?
Australian growth charts are based on extensive data and are used by healthcare professionals to monitor a child's growth (weight, height, head circumference) over time. They help determine if a child is growing appropriately for their age and sex. Often, these are adapted from or aligned with World Health Organization (WHO) standards.
My child is consistently above the 97th percentile. Should I be worried?
If your child is consistently above the 97th percentile, it's recommended to discuss this with your healthcare provider. They will consider various factors, including your child's overall health, diet, activity level, and family history, to determine if any intervention is needed. Rapid changes in percentile can be more concerning than consistently tracking along a high percentile.
My child is below the 3rd percentile. What does this mean?
A child consistently below the 3rd percentile may indicate that they are underweight or experiencing slower-than-average growth. It's crucial to consult a healthcare professional. They can investigate potential causes, such as inadequate calorie intake, absorption issues, or other underlying medical conditions.
How often should I use a child weight calculator?
It's best to use this calculator sparingly and in conjunction with your child's regular health check-ups. Over-monitoring can cause unnecessary anxiety. Your healthcare provider will recommend the appropriate frequency for weight checks based on your child's age and health status.
Does the calculator account for premature babies?
This specific calculator uses standard age. For premature babies, healthcare providers typically use an 'corrected' or 'adjusted' age. If you are concerned about a premature baby's growth, please consult your paediatrician, as they use specialized charts and methods.
What if my child's weight fluctuates slightly?
Normal fluctuations are common, especially in older children and with changes in appetite or activity. A single measurement giving a slightly different percentile isn't usually a cause for alarm. Trends over time, as assessed by a healthcare professional using growth charts, are more indicative of a child's growth pattern.
Are there different charts for different ages?
Yes, growth charts are specific to age ranges. The data used by this calculator is designed to be accurate for infants and young children up to around 5 years old, with different curves and reference points applying to different age brackets within that range.
function calculateChildWeight() {
var ageMonths = parseFloat(document.getElementById("childAge").value);
var weightKg = parseFloat(document.getElementById("childWeight").value);
var sex = document.getElementById("childSex").value;
var resultsDiv = document.getElementById("results");
var mainResultDiv = document.getElementById("mainResult");
var lowerBoundDiv = document.getElementById("lowerBound");
var upperBoundDiv = document.getElementById("upperBound");
var growthPercentileDiv = document.getElementById("growthPercentile");
var childAgeError = document.getElementById("childAgeError");
var childWeightError = document.getElementById("childWeightError");
// Clear previous errors
childAgeError.textContent = "";
childAgeError.classList.remove("visible");
childWeightError.textContent = "";
childWeightError.classList.remove("visible");
var isValid = true;
if (isNaN(ageMonths) || ageMonths < 0) {
childAgeError.textContent = "Please enter a valid age in months (0 or greater).";
childAgeError.classList.add("visible");
isValid = false;
}
if (isNaN(weightKg) || weightKg <= 0) {
childWeightError.textContent = "Please enter a valid weight in kg (greater than 0).";
childWeightError.classList.add("visible");
isValid = false;
}
if (!isValid) {
resultsDiv.style.display = "none";
return;
}
// WHO Growth Standards Data (Approximate values for demonstration)
// Data structure: { sex: { age_months: { p3: weight, p97: weight, p_estimate: percentile_value } } }
// Note: Actual implementation would use more precise data, potentially LMS parameters.
var growthData = {
male: {
0: {p3: 2.5, p97: 5.5, p_estimate: 3.9}, // ~ 3.9 kg at 0 months (birth weight reference)
3: {p3: 4.5, p97: 8.0, p_estimate: 6.2},
6: {p3: 6.0, p97: 9.5, p_estimate: 7.8},
9: {p3: 7.0, p97: 10.5, p_estimate: 8.8},
12: {p3: 7.8, p97: 11.8, p_estimate: 9.7}, // ~1 year old
18: {p3: 9.0, p97: 13.5, p_estimate: 11.2},
24: {p3: 9.5, p97: 14.8, p_estimate: 12.5}, // 2 years old
36: {p3: 11.5, p97: 17.5, p_estimate: 14.5}, // 3 years old
48: {p3: 13.0, p97: 19.8, p_estimate: 16.5},
60: {p3: 14.5, p97: 22.0, p_estimate: 18.5} // 5 years old
},
female: {
0: {p3: 2.3, p97: 5.2, p_estimate: 3.7}, // ~ 3.7 kg at 0 months (birth weight reference)
3: {p3: 4.2, p97: 7.6, p_estimate: 5.9},
6: {p3: 5.7, p97: 9.1, p_estimate: 7.4},
9: {p3: 6.7, p97: 10.1, p_estimate: 8.4},
12: {p3: 7.5, p97: 11.4, p_estimate: 9.3}, // ~1 year old
18: {p3: 8.7, p97: 13.0, p_estimate: 10.8},
24: {p3: 9.2, p97: 14.2, p_estimate: 11.9}, // 2 years old
36: {p3: 11.0, p97: 17.0, p_estimate: 13.9}, // 3 years old
48: {p3: 12.5, p97: 19.2, p_estimate: 15.8},
60: {p3: 13.8, p97: 21.0, p_estimate: 17.7} // 5 years old
}
};
var selectedSexData = growthData[sex];
var p3Weight = null;
var p97Weight = null;
var estimatedPercentile = null;
var closestAge = null;
// Find the closest age data point or interpolate if needed
var ages = Object.keys(selectedSexData).map(Number).sort(function(a, b){ return a – b; });
var lowerAge = 0;
var upperAge = ages[ages.length – 1]; // Max age in our data
if (ageMonths ages[ages.length – 1]) { // After last data point
lowerAge = ages[ages.length – 1];
upperAge = ages[ages.length – 1];
} else {
// Find the age bracket
for (var i = 0; i = ages[i] && ageMonths < ages[i+1]) {
lowerAge = ages[i];
upperAge = ages[i+1];
break;
} else if (ageMonths === ages[i]) {
lowerAge = ages[i];
upperAge = ages[i];
break;
}
}
if (ageMonths === ages[ages.length – 1]) { // Exact match for the last age
lowerAge = ages[ages.length – 1];
upperAge = ages[ages.length – 1];
}
}
var dataLower = selectedSexData[lowerAge];
var dataUpper = selectedSexData[upperAge];
if (lowerAge === upperAge) { // Exact match or outside range handled
p3Weight = dataLower.p3;
p97Weight = dataLower.p97;
estimatedPercentile = dataLower.p_estimate; // This is a placeholder for actual percentile calculation
} else {
// Linear interpolation for age range
var ageRange = upperAge – lowerAge;
var weightFraction = (ageMonths – lowerAge) / ageRange;
p3Weight = dataLower.p3 + (dataUpper.p3 – dataLower.p3) * weightFraction;
p97Weight = dataLower.p97 + (dataUpper.p97 – dataLower.p97) * weightFraction;
// Estimating percentile is complex and usually requires LMS parameters or a lookup table.
// For this example, we'll just average the percentiles if the age is between points,
// or more realistically, state it's interpolated.
// A true percentile calculation involves inverse CDF.
estimatedPercentile = ((dataLower.p_estimate + dataUpper.p_estimate) / 2).toFixed(0); // Simplified placeholder
}
// More accurate percentile estimation based on Z-score and LMS parameters would be ideal.
// For this example, we'll use the placeholder 'estimatedPercentile' which is just a rough average.
// A true calculation maps weight to percentile using standard deviation (Sigma), mean (Mu), and lambda (L) values.
// Let's refine the 'estimatedPercentile' part to be more representative, although still simplified.
// Instead of placeholder, let's assume a simplified direct lookup for common ages and interpolate roughly.
// Simplified percentile estimation for demonstration:
// Realistically, this needs actual WHO LMS data or a library.
var finalEstimatedPercentile = 50; // Default median
if (p3Weight && p97Weight) {
if (weightKg p97Weight) {
finalEstimatedPercentile = Math.min(99, 97 + Math.round( (weightKg – p97Weight) / (25 – p97Weight) * 3)); // Extrapolation idea
} else {
// Rough interpolation between 3rd and 97th percentile
var rangeWidth = p97Weight – p3Weight;
var currentPosition = weightKg – p3Weight;
var percentileRangeWidth = 97 – 3;
finalEstimatedPercentile = Math.round(3 + (currentPosition / rangeWidth) * percentileRangeWidth);
}
}
finalEstimatedPercentile = Math.max(1, Math.min(99, finalEstimatedPercentile)); // Clamp between 1 and 99
mainResultDiv.textContent = finalEstimatedPercentile + "th Percentile";
lowerBoundDiv.textContent = p3Weight !== null ? p3Weight.toFixed(1) : "–";
upperBoundDiv.textContent = p97Weight !== null ? p97Weight.toFixed(1) : "–";
growthPercentileDiv.textContent = finalEstimatedPercentile + "th"; // Display just the number for clarity
resultsDiv.style.display = "block";
// Update chart
updateChart(sex, ageMonths, weightKg, p3Weight, p97Weight);
}
function updateChart(sex, currentAge, currentWeight, p3Weight, p97Weight) {
var ctx = document.getElementById('growthChart').getContext('2d');
// Destroy previous chart instance if it exists
if (window.myGrowthChart instanceof Chart) {
window.myGrowthChart.destroy();
}
var ages = [0, 6, 12, 18, 24, 36, 48, 60]; // Example ages for chart display
var p3Weights = [];
var p97Weights = [];
var currentWeightData = [];
var growthData = { /* … (same data as above) … */
male: {
0: {p3: 2.5, p97: 5.5},
6: {p3: 6.0, p97: 9.5},
12: {p3: 7.8, p97: 11.8},
18: {p3: 9.0, p97: 13.5},
24: {p3: 9.5, p97: 14.8},
36: {p3: 11.5, p97: 17.5},
48: {p3: 13.0, p97: 19.8},
60: {p3: 14.5, p97: 22.0}
},
female: {
0: {p3: 2.3, p97: 5.2},
6: {p3: 5.7, p97: 9.1},
12: {p3: 7.5, p97: 11.4},
18: {p3: 8.7, p97: 13.0},
24: {p3: 9.2, p97: 14.2},
36: {p3: 11.0, p97: 17.0},
48: {p3: 12.5, p97: 19.2},
60: {p3: 13.8, p97: 21.0}
}
};
var selectedSexData = growthData[sex];
// Populate chart data using interpolation for the chosen ages
for (var i = 0; i < ages.length; i++) {
var age = ages[i];
var lowerAge = 0, upperAge = 0;
var dataLower = {}, dataUpper = {};
var dataAges = Object.keys(selectedSexData).map(Number).sort(function(a, b){ return a – b; });
if (age dataAges[dataAges.length – 1]) {
lowerAge = dataAges[dataAges.length – 1]; upperAge = dataAges[dataAges.length – 1];
} else {
for (var j = 0; j = dataAges[j] && age 0 && !ages.includes(currentAge)) {
currentWeightData.push({x: currentAge, y: currentWeight});
ages.push(currentAge); // Add current age to x-axis labels if it wasn't there
p3Weights.push(p3Weight); // Use calculated bounds for current age
p97Weights.push(p97Weight);
}
// Sort data by age for chart rendering
var sortedIndices = ages.map(function(_, i) { return i; }).sort(function(a, b) { return ages[a] – ages[b]; });
var sortedAges = sortedIndices.map(function(i) { return ages[i]; });
var sortedP3 = sortedIndices.map(function(i) { return p3Weights[i]; });
var sortedP97 = sortedIndices.map(function(i) { return p97Weights[i]; });
var sortedCurrentWeight = sortedIndices.map(function(i) {
var matchingIndex = currentWeightData.findIndex(function(item) { return item.x === sortedAges[i]; });
return matchingIndex !== -1 ? currentWeightData[matchingIndex].y : null;
});
var chartData = {
labels: sortedAges.map(function(age){ return age === 0 ? "Birth" : age + "m"; }),
datasets: [
{
label: '3rd Percentile (Lower Range)',
data: sortedP3,
borderColor: 'rgba(255, 99, 132, 1)',
borderWidth: 1,
fill: false,
pointRadius: 3,
pointHoverRadius: 5,
showLine: true
},
{
label: '97th Percentile (Upper Range)',
data: sortedP97,
borderColor: 'rgba(54, 162, 235, 1)',
borderWidth: 1,
fill: false,
pointRadius: 3,
pointHoverRadius: 5,
showLine: true
},
{
label: "Child's Weight",
data: sortedCurrentWeight,
borderColor: 'rgba(75, 192, 192, 1)',
borderWidth: 2,
fill: false,
pointRadius: 5,
pointHoverRadius: 7,
showLine: false // Only show points for the child's actual weight
}
]
};
window.myGrowthChart = new Chart(ctx, {
type: 'line',
data: chartData,
options: {
responsive: true,
maintainAspectRatio: false,
scales: {
x: {
title: {
display: true,
text: 'Age (Months)'
}
},
y: {
title: {
display: true,
text: 'Weight (kg)'
},
beginAtZero: true
}
},
plugins: {
title: {
display: true,
text: 'Child Weight-for-Age Curve'
},
tooltip: {
callbacks: {
label: function(context) {
var label = context.dataset.label || ";
if (label) {
label += ': ';
}
if (context.parsed.y !== null) {
label += context.parsed.y.toFixed(1) + ' kg';
}
return label;
}
}
}
}
}
});
}
function resetCalculator() {
document.getElementById("childAge").value = "12"; // Default to 1 year old
document.getElementById("childWeight").value = "9.5"; // Default weight for 12 months male
document.getElementById("childSex").value = "male";
document.getElementById("results").style.display = "none";
document.getElementById("childAgeError").textContent = "";
document.getElementById("childAgeError").classList.remove("visible");
document.getElementById("childWeightError").textContent = "";
document.getElementById("childWeightError").classList.remove("visible");
// Reset chart if it exists
if (window.myGrowthChart) {
window.myGrowthChart.destroy();
var canvas = document.getElementById('growthChart');
var ctx = canvas.getContext('2d');
ctx.clearRect(0, 0, canvas.width, canvas.height);
}
}
function copyResults() {
var mainResult = document.getElementById("mainResult").innerText;
var lowerBound = document.getElementById("lowerBound").innerText;
var upperBound = document.getElementById("upperBound").innerText;
var percentile = document.getElementById("growthPercentile").innerText;
var formula = "Using WHO growth standards for age and sex.";
var resultsText = "— Child Weight Assessment —\n";
resultsText += "Estimated Percentile: " + mainResult + "\n";
resultsText += "Lower Healthy Range (3rd %ile): " + lowerBound + " kg\n";
resultsText += "Upper Healthy Range (97th %ile): " + upperBound + " kg\n";
resultsText += "——————————-\n";
resultsText += "Assumptions:\n";
resultsText += "- " + formula + "\n";
try {
navigator.clipboard.writeText(resultsText).then(function() {
// Optional: show a confirmation message
var originalText = document.getElementById("copyBtn").innerText;
document.getElementById("copyBtn").innerText = "Copied!";
setTimeout(function() {
document.getElementById("copyBtn").innerText = originalText;
}, 1500);
});
} catch (err) {
console.error("Failed to copy: ", err);
// Fallback for older browsers or environments where clipboard API is not available
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 {
document.execCommand('copy');
var originalText = document.getElementById("copyBtn").innerText;
document.getElementById("copyBtn").innerText = "Copied!";
setTimeout(function() {
document.getElementById("copyBtn").innerText = originalText;
}, 1500);
} catch (e) {
console.error("Fallback copy failed: ", e);
alert("Could not copy results. Please copy manually.");
}
document.body.removeChild(textArea);
}
}
// Add event listeners
document.getElementById("calculateBtn").addEventListener("click", calculateChildWeight);
document.getElementById("resetBtn").addEventListener("click", resetCalculator);
document.getElementById("copyBtn").addEventListener("click", copyResults);
// Initial calculation on load with default values
document.addEventListener('DOMContentLoaded', function() {
// Add a canvas element for the chart dynamically
var chartSection = document.createElement('section');
chartSection.className = 'article-section';
chartSection.innerHTML = '
Child Growth Chart
';
var calculatorSection = document.querySelector('.loan-calc-container');
calculatorSection.parentNode.insertBefore(chartSection, calculatorSection.nextSibling);
// Set initial values and calculate
resetCalculator(); // Sets defaults and triggers initial calculation
calculateChildWeight(); // Run calculation after defaults are set
});