Enter your child's age, height, and weight to determine their growth percentile. This tool is based on CDC growth charts and provides valuable insights into your child's development relative to others of the same age and sex.
Boy
Girl
Select the sex of the child.
Enter the child's age in full months (e.g., 24 for 2 years).
Enter the child's height in centimeters (cm).
Enter the child's weight in kilograms (kg).
Your Results
—
Height Percentile: —
Weight Percentile: —
BMI Percentile: —
Key Assumptions:
Sex: —
Age: — months
Height: — cm
Weight: — kg
Formula Explanation: Percentiles are calculated by comparing the child's measurements (height, weight, BMI) against a reference population of children of the same age and sex, using statistical methods based on CDC growth charts. A percentile indicates that a child's measurement is greater than or equal to that percentage of the reference population.
What is Age Height Weight Percentile?
The age height weight percentile is a crucial metric used by healthcare professionals to assess a child's growth and development. It compares a child's height, weight, and Body Mass Index (BMI) to that of other children of the same age and sex. Instead of absolute values, percentiles provide a relative measure, indicating where a child falls on the growth curve. For instance, a child at the 50th percentile for height is taller than 50% of children their age and sex, and shorter than the other 50%. Understanding these percentiles helps identify potential growth issues, nutritional concerns, or other health conditions early on. It's important to remember that percentiles are just one part of a comprehensive health assessment and should be interpreted by a qualified healthcare provider.
Who Should Use the Age Height Weight Percentile Calculator?
The primary users of an age height weight percentile calculator are:
Parents and Guardians: To monitor their child's growth between pediatrician visits and gain a better understanding of developmental milestones.
Pediatricians and Healthcare Providers: To track growth patterns over time, identify potential health concerns, and make informed clinical decisions.
Childcare Providers and Educators: To gain general insights into the physical development of children in their care, though clinical interpretation should always be left to medical professionals.
Researchers: Studying child development, nutrition, and public health trends.
Common Misconceptions about Percentiles
Several common misunderstandings surround growth percentiles:
Misconception 1: A low percentile is always bad. Not necessarily. A child consistently tracking along a specific percentile (e.g., 10th percentile) might be perfectly healthy, just smaller than average. The concern arises when there are sudden drops or jumps in percentile, or if the child is significantly outside the typical range.
Misconception 2: A high percentile is always good. Similarly, being in a high percentile (e.g., 90th) isn't automatically ideal. Very high percentiles for weight or BMI could indicate a risk of overweight or obesity, which carries its own health implications.
Misconception 3: Percentiles are static. Children's growth patterns change. They might be in a higher percentile for height early on and then shift to a lower one, or vice versa. This is normal as long as the growth is steady and within a healthy range.
Misconception 4: Percentiles dictate future adult size. While there's some correlation, percentiles during childhood don't definitively predict adult height or weight. Puberty and other factors play significant roles.
Age Height Weight Percentile Formula and Mathematical Explanation
The calculation of age height weight percentile relies on complex statistical models derived from extensive data collected by organizations like the Centers for Disease Control and Prevention (CDC). These models are typically based on the LMS (Lambda-Mu-Sigma) method, which fits curves to the 3rd, 5th, 50th, 95th, and 97th percentiles of the reference data. The core idea is to determine where a specific measurement (height, weight, or BMI) falls relative to the distribution of measurements for children of the same age and sex.
For a given age (A), sex (S), and measurement (M – height, weight, or BMI), the process involves:
Finding the L, M, and S values: For the specific age and sex, statistical tables or functions provide the L (Box-Cox transformation parameter), M (median value), and S (generalized standard deviation) parameters. These parameters define the shape and spread of the distribution at that particular age.
Calculating the Coefficient of Variation (CV): The S value is often expressed as a coefficient of variation (CV = S/M).
Calculating the Z-score: The Z-score measures how many standard deviations a measurement is away from the median. The formula is adapted using the L, M, and S parameters:
If L is not zero: Z = [ (M/S)^L – 1 ] / (L * CV)
If L is zero: Z = ln(M/S) / CV
Where M is the child's measurement (height, weight, or BMI).
Converting Z-score to Percentile: The Z-score is then used with the standard normal cumulative distribution function (Φ) to find the percentile (P):
P = Φ(Z) * 100%
The calculator simplifies this by using pre-computed lookup tables or algorithms that directly map age, sex, and measurement to a percentile value, often interpolating between data points.
Variables Table
Variable
Meaning
Unit
Typical Range (Child Growth)
Age (A)
Child's age
Months
0 – 240 (0-20 years)
Sex (S)
Biological sex of the child
Categorical (Boy/Girl)
Boy, Girl
Height (MH)
Child's measured height
Centimeters (cm)
Varies greatly by age, e.g., 50cm (newborn) to 180cm+ (teen)
Weight (MW)
Child's measured weight
Kilograms (kg)
Varies greatly by age, e.g., 3kg (newborn) to 80kg+ (teen)
BMI (MBMI)
Body Mass Index (Weight / Height²)
kg/m²
Varies greatly by age, e.g., 13 kg/m² (infant) to 25 kg/m² (teen)
L, M, S
LMS parameters defining the distribution curve for a specific age/sex
Varies (L: dimensionless, M: measurement unit, S: dimensionless or measurement unit)
Specific to CDC growth charts
Z-score
Standard deviations from the median
Dimensionless
Typically -3 to +3
Percentile (P)
Percentage of children with lower measurements
%
0% – 100%
Practical Examples (Real-World Use Cases)
Example 1: Monitoring a Toddler's Growth
Scenario: Sarah is a concerned parent whose 30-month-old son, Leo, is quite petite. She wants to check his growth percentiles.
Inputs:
Sex: Boy
Age: 30 months
Height: 85 cm
Weight: 11 kg
Calculation: Using the calculator:
Height Percentile: ~ 25th percentile
Weight Percentile: ~ 30th percentile
BMI: (11 kg / (0.85 m)²) ≈ 15.2 kg/m²
BMI Percentile: ~ 40th percentile
Interpretation: Leo's height and weight are slightly below the median but fall within a healthy range, tracking around the 25th-30th percentile. His BMI percentile is also healthy. This indicates he is growing proportionally, albeit on the smaller side compared to average boys his age. Sarah can discuss these results with Leo's pediatrician to confirm everything is on track.
Example 2: Assessing a Pre-teen's Weight
Scenario: Mark is 10 years old and his parents are worried he might be underweight after a growth spurt.
Inputs:
Sex: Boy
Age: 120 months (10 years)
Height: 145 cm
Weight: 35 kg
Calculation: Using the calculator:
Height Percentile: ~ 50th percentile
Weight Percentile: ~ 35th percentile
BMI: (35 kg / (1.45 m)²) ≈ 16.6 kg/m²
BMI Percentile: ~ 20th percentile
Interpretation: Mark is average height for his age (50th percentile). His weight and BMI percentiles are lower (35th and 20th, respectively). This suggests that while he is growing, he is leaner than average. This might be normal, especially if he's active, but it warrants a discussion with his doctor to ensure adequate nutrition and rule out any underlying issues, especially given his average height.
How to Use This Age Height Weight Percentile Calculator
Using the age height weight percentile calculator is straightforward. Follow these steps:
Gather Accurate Measurements: Ensure you have the child's precise age in months, height in centimeters (cm), and weight in kilograms (kg). Use a reliable measuring tape and scale.
Select Sex: Choose 'Boy' or 'Girl' from the dropdown menu.
Enter Data: Input the age, height, and weight into the respective fields.
Validate Inputs: The calculator will perform inline validation. If you enter invalid data (e.g., negative numbers, non-numeric values), an error message will appear below the relevant field. Correct any errors.
Calculate: Click the "Calculate Percentile" button.
Reading the Results
Main Result: This typically shows the overall growth status, often derived from BMI percentile, but can also be a summary.
Height Percentile: Indicates where the child's height ranks compared to peers.
Weight Percentile: Shows where the child's weight ranks.
BMI Percentile: Compares the child's BMI to peers, a key indicator for potential weight concerns.
Key Assumptions: Confirms the input data used for the calculation.
Decision-Making Guidance: Consult the results alongside your child's medical history and your pediatrician's advice. A single percentile reading isn't a diagnosis. Focus on the trend over time and whether the child is growing proportionally. Discuss any concerns with your healthcare provider.
Key Factors That Affect Age Height Weight Percentile Results
Several factors influence a child's growth trajectory and, consequently, their age height weight percentile results:
Genetics: Parental height and build are significant predictors of a child's potential growth pattern. Children often follow a familial growth curve.
Nutrition: Adequate intake of calories, protein, vitamins, and minerals is essential for proper growth. Malnutrition or overconsumption can skew weight and height percentiles.
Health Conditions: Chronic illnesses, hormonal imbalances (like growth hormone deficiency or thyroid issues), and genetic syndromes (e.g., Down syndrome, Turner syndrome) can significantly impact growth rates and patterns.
Physical Activity Levels: High levels of physical activity can influence muscle mass and body composition, affecting weight and BMI percentiles. Conversely, very sedentary lifestyles can contribute to higher weight percentiles.
Sleep Quality and Quantity: Growth hormone is primarily released during deep sleep. Insufficient or poor-quality sleep can potentially affect growth over time.
Prenatal Factors: Maternal health during pregnancy, birth weight, and gestational age can influence early growth patterns and set a baseline for subsequent percentiles.
Socioeconomic Factors: Access to nutritious food, healthcare, and safe environments can indirectly influence growth outcomes.
Puberty Timing: The timing of the pubertal growth spurt can temporarily alter percentiles. Early bloomers might appear larger temporarily, while late bloomers might seem smaller until their spurt.
Frequently Asked Questions (FAQ)
Q1: What is the ideal percentile for a child?
A1: There isn't one "ideal" percentile. Healthy children can grow along any percentile line (e.g., 10th, 50th, 90th) as long as they are growing consistently and proportionally. The focus is on the growth *trend* rather than a specific number.
Q2: My child dropped a percentile. Should I be worried?
A2: A single drop might not be concerning, especially if it's a small shift. However, significant or consistent drops in percentile rank warrant a discussion with your pediatrician to investigate potential underlying causes.
Q3: How often should my child's percentiles be checked?
A3: Pediatricians typically check growth percentiles during regular well-child visits, which are usually scheduled every few months in infancy and annually thereafter. Consistent tracking is key.
Q4: Does this calculator work for adults?
A4: No, this specific calculator is designed for children and adolescents using growth charts based on pediatric data (typically up to age 20). Adult BMI calculations use different standards.
Q5: What's the difference between height percentile and BMI percentile?
A5: Height percentile compares the child's length to others of the same age and sex. BMI percentile compares their Body Mass Index (a ratio of weight to height squared) to others, providing insight into body composition relative to peers.
Q6: Can I use inches and pounds instead of cm and kg?
A6: This calculator requires input in centimeters (cm) and kilograms (kg). You would need to convert your measurements before entering them. (1 inch = 2.54 cm, 1 pound ≈ 0.453592 kg).
Q7: What if my child has a specific medical condition?
A7: If your child has a known medical condition affecting growth, consult their specialist or pediatrician. Standard growth charts might not accurately reflect their unique growth pattern. Specialized charts may be needed.
Q8: How accurate are these online calculators?
A8: Online calculators based on official data (like CDC charts) are generally accurate for providing percentile estimates. However, they are tools for information and monitoring, not a substitute for professional medical evaluation.
BMI CalculatorCalculate Body Mass Index for adults and children, understanding its implications for health.
Understanding Child Growth ChartsA deeper dive into how pediatricians use growth charts and what different lines and curves signify.
Child Nutrition GuideTips and recommendations for ensuring your child receives the balanced nutrition needed for optimal growth and development.
Pediatrician Visit ChecklistPrepare for your child's next doctor's appointment with a list of essential questions and topics to cover, including growth.
Child Developmental MilestonesTrack your child's progress across various domains, including physical growth, cognitive, and social-emotional development.
function getElement(id) {
return document.getElementById(id);
}
function validateInput(inputId, errorId, minValue, maxValue, isRequired = true) {
var input = getElement(inputId);
var errorElement = getElement(errorId);
var value = input.value.trim();
var numValue = parseFloat(value);
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errorElement.textContent = 'Value cannot be greater than ' + maxValue + '.';
errorElement.style.display = 'block';
input.style.borderColor = 'red';
return false;
}
return true;
}
function calculateBmi(heightCm, weightKg) {
if (heightCm <= 0 || weightKg <= 0) return 0;
var heightM = heightCm / 100;
var bmi = weightKg / (heightM * heightM);
return parseFloat(bmi.toFixed(2));
}
// Simplified percentile calculation based on CDC data approximations
// NOTE: Real-world CDC calculations use complex LMS tables. This is a simplified approximation for demonstration.
// Data is illustrative and not precise CDC values.
function getApproximatePercentile(ageMonths, measurement, type, sex) {
var data;
if (sex === 'Boy') {
data = (type === 'height') ? boyHeightData : (type === 'weight' ? boyWeightData : boyBmiData);
} else {
data = (type === 'height') ? girlHeightData : (type === 'weight' ? girlWeightData : girlBmiData);
}
// Find the closest age data point
var ageIndex = data.findIndex(function(d) { return d.age === ageMonths; });
if (ageIndex === -1) {
// If exact age not found, find nearest lower and upper bounds for interpolation
var lowerAgeIndex = data.findIndex(function(d, index) { return d.age ageMonths; });
var upperAgeIndex = data.findIndex(function(d) { return d.age >= ageMonths; });
if (lowerAgeIndex !== -1 && upperAgeIndex !== -1 && lowerAgeIndex !== upperAgeIndex) {
var lowerData = data[lowerAgeIndex];
var upperData = data[upperAgeIndex];
var ageRatio = (ageMonths – lowerData.age) / (upperData.age – lowerData.age);
var percentile = lowerData.p50 + (upperData.p50 – lowerData.p50) * ageRatio;
// Simplified interpolation for other percentiles if needed, but p50 is most common
return Math.round(percentile);
} else if (lowerAgeIndex !== -1) {
return Math.round(data[lowerAgeIndex].p50); // Use nearest lower if no upper
} else if (upperAgeIndex !== -1) {
return Math.round(data[upperAgeIndex].p50); // Use nearest upper if no lower
}
else {
return null; // Age out of range
}
} else {
return Math.round(data[ageIndex].p50); // Exact age match
}
}
// Placeholder data for demonstration. Real CDC data is much more extensive and complex.
// These are simplified median (50th percentile) values for illustration.
var boyHeightData = [
{ age: 0, p50: 49.9 }, { age: 1, p50: 55.1 }, { age: 3, p50: 64.2 }, { age: 6, p50: 71.0 },
{ age: 9, p50: 75.7 }, { age: 12, p50: 79.7 }, { age: 18, p50: 85.4 }, { age: 24, p50: 90.2 },
{ age: 30, p50: 94.3 }, { age: 36, p50: 97.9 }, { age: 48, p50: 104.0 }, { age: 60, p50: 110.0 },
{ age: 72, p50: 116.0 }, { age: 84, p50: 122.0 }, { age: 96, p50: 128.0 }, { age: 108, p50: 133.0 },
{ age: 120, p50: 138.0 }, { age: 132, p50: 143.0 }, { age: 144, p50: 149.0 }, { age: 156, p50: 157.0 },
{ age: 168, p50: 165.0 }, { age: 180, p50: 170.0 }, { age: 192, p50: 173.0 }, { age: 204, p50: 175.0 },
{ age: 216, p50: 176.0 }, { age: 228, p50: 177.0 }, { age: 240, p50: 178.0 }
];
var girlHeightData = [
{ age: 0, p50: 49.1 }, { age: 1, p50: 54.1 }, { age: 3, p50: 62.7 }, { age: 6, p50: 68.5 },
{ age: 9, p50: 73.2 }, { age: 12, p50: 77.1 }, { age: 18, p50: 82.8 }, { age: 24, p50: 87.1 },
{ age: 30, p50: 91.0 }, { age: 36, p50: 94.5 }, { age: 48, p50: 100.5 }, { age: 60, p50: 106.5 },
{ age: 72, p50: 113.0 }, { age: 84, p50: 119.0 }, { age: 96, p50: 125.0 }, { age: 108, p50: 130.0 },
{ age: 120, p50: 135.0 }, { age: 132, p50: 141.0 }, { age: 144, p50: 148.0 }, { age: 156, p50: 155.0 },
{ age: 168, p50: 161.0 }, { age: 180, p50: 163.0 }, { age: 192, p50: 164.0 }, { age: 204, p50: 164.5 },
{ age: 216, p50: 165.0 }, { age: 228, p50: 165.5 }, { age: 240, p50: 166.0 }
];
var boyWeightData = [
{ age: 0, p50: 3.5 }, { age: 1, p50: 5.0 }, { age: 3, p50: 7.5 }, { age: 6, p50: 9.5 },
{ age: 9, p50: 10.5 }, { age: 12, p50: 11.0 }, { age: 18, p50: 12.0 }, { age: 24, p50: 13.0 },
{ age: 30, p50: 13.8 }, { age: 36, p50: 14.5 }, { age: 48, p50: 16.5 }, { age: 60, p50: 18.5 },
{ age: 72, p50: 21.0 }, { age: 84, p50: 24.0 }, { age: 96, p50: 27.5 }, { age: 108, p50: 31.0 },
{ age: 120, p50: 34.5 }, { age: 132, p50: 39.0 }, { age: 144, p50: 44.0 }, { age: 156, p50: 50.0 },
{ age: 168, p50: 56.0 }, { age: 180, p50: 61.0 }, { age: 192, p50: 65.0 }, { age: 204, p50: 68.0 },
{ age: 216, p50: 70.0 }, { age: 228, p50: 71.5 }, { age: 240, p50: 72.5 }
];
var girlWeightData = [
{ age: 0, p50: 3.3 }, { age: 1, p50: 4.7 }, { age: 3, p50: 7.0 }, { age: 6, p50: 9.0 },
{ age: 9, p50: 10.0 }, { age: 12, p50: 10.5 }, { age: 18, p50: 11.5 }, { age: 24, p50: 12.5 },
{ age: 30, p50: 13.3 }, { age: 36, p50: 14.0 }, { age: 48, p50: 16.0 }, { age: 60, p50: 18.0 },
{ age: 72, p50: 20.5 }, { age: 84, p50: 23.5 }, { age: 96, p50: 27.0 }, { age: 108, p50: 30.5 },
{ age: 120, p50: 34.0 }, { age: 132, p50: 38.5 }, { age: 144, p50: 43.0 }, { age: 156, p50: 48.0 },
{ age: 168, p50: 52.0 }, { age: 180, p50: 54.0 }, { age: 192, p50: 55.5 }, { age: 204, p50: 56.5 },
{ age: 216, p50: 57.0 }, { age: 228, p50: 57.5 }, { age: 240, p50: 58.0 }
];
// BMI data is more complex as it depends on both age and sex, and the distribution changes.
// This is a highly simplified placeholder. Real calculations use LMS parameters.
var boyBmiData = [
{ age: 0, p50: 14.0 }, { age: 6, p50: 16.0 }, { age: 12, p50: 15.5 }, { age: 24, p50: 16.5 },
{ age: 36, p50: 16.8 }, { age: 48, p50: 16.5 }, { age: 60, p50: 16.2 }, { age: 72, p50: 16.0 },
{ age: 84, p50: 16.5 }, { age: 96, p50: 17.5 }, { age: 108, p50: 18.5 }, { age: 120, p50: 19.5 },
{ age: 132, p50: 20.5 }, { age: 144, p50: 21.5 }, { age: 156, p50: 22.5 }, { age: 168, p50: 23.0 },
{ age: 180, p50: 23.0 }, { age: 240, p50: 22.5 }
];
var girlBmiData = [
{ age: 0, p50: 13.5 }, { age: 6, p50: 15.5 }, { age: 12, p50: 15.0 }, { age: 24, p50: 16.0 },
{ age: 36, p50: 16.2 }, { age: 48, p50: 16.0 }, { age: 60, p50: 15.8 }, { age: 72, p50: 15.7 },
{ age: 84, p50: 16.0 }, { age: 96, p50: 17.0 }, { age: 108, p50: 18.0 }, { age: 120, p50: 19.0 },
{ age: 132, p50: 20.0 }, { age: 144, p50: 21.0 }, { age: 156, p50: 21.5 }, { age: 168, p50: 21.0 },
{ age: 180, p50: 20.5 }, { age: 240, p50: 20.0 }
];
var chart;
var chartContext;
function initializeChart() {
chartContext = getElement('growthChart').getContext('2d');
chart = new Chart(chartContext, {
type: 'line',
data: {
labels: [], // Will be populated with age points
datasets: [{
label: 'Height (cm)',
data: [], // Height data points
borderColor: 'rgb(75, 192, 192)',
backgroundColor: 'rgba(75, 192, 192, 0.2)',
fill: false,
tension: 0.1
}, {
label: 'Weight (kg)',
data: [], // Weight data points
borderColor: 'rgb(255, 99, 132)',
backgroundColor: 'rgba(255, 99, 132, 0.2)',
fill: false,
tension: 0.1
}]
},
options: {
responsive: true,
maintainAspectRatio: false,
scales: {
x: {
title: {
display: true,
text: 'Age (Months)'
}
},
y: {
title: {
display: true,
text: 'Measurement'
}
}
},
plugins: {
title: {
display: true,
text: 'Child Growth Trend (Illustrative)'
}
}
}
});
}
function updateChart(ageMonths, heightCm, weightKg, sex) {
if (!chart) {
initializeChart();
}
var sexStr = (sex === '1') ? 'Boy' : 'Girl';
var dataSet = (sexStr === 'Boy') ? boyHeightData.concat(boyWeightData) : girlHeightData.concat(girlWeightData); // Combine for easier lookup
var currentData = {
age: ageMonths,
height: heightCm,
weight: weightKg
};
// Add current measurement to a temporary array for chart data
var chartPoints = [];
var relevantData = (sexStr === 'Boy') ? boyHeightData : girlHeightData; // Use height data for age labels
// Add historical points (simplified – in reality, you'd fetch actual historical data)
// For this example, we'll just show the current point and maybe a few reference points
var referencePoints = [0, 6, 12, 24, 48, 72, 120, 240]; // Example reference ages
referencePoints.forEach(function(refAge) {
if (refAge <= ageMonths) {
var heightPoint = relevantData.find(function(d) { return d.age === refAge; });
if (heightPoint) {
chartPoints.push({ x: heightPoint.age, y: heightPoint.p50 }); // Reference height
}
}
});
// Add current point
chartPoints.push({ x: ageMonths, y: heightCm }); // Current height
// Prepare datasets for chart
var heightData = chartPoints.map(function(point) { return point.x <= ageMonths ? point.y : null; });
var weightData = chartPoints.map(function(point) { return point.x <= ageMonths ? (point.x === ageMonths ? weightKg : null) : null; }); // Simplified weight
chart.data.labels = chartPoints.map(function(point) { return point.x; });
chart.data.datasets[0].data = heightData;
chart.data.datasets[1].data = weightData;
chart.update();
}
function calculatePercentile() {
var sexSelect = getElement('sex');
var ageMonthsInput = getElement('ageMonths');
var heightCmInput = getElement('heightCm');
var weightKgInput = getElement('weightKg');
var sexValue = sexSelect.value;
var sexLabel = sexSelect.options[sexSelect.selectedIndex].text;
var ageMonths = parseInt(ageMonthsInput.value);
var heightCm = parseFloat(heightCmInput.value);
var weightKg = parseFloat(weightKgInput.value);
var isValid = true;
isValid = validateInput('ageMonths', 'ageMonthsError', 0, 240) && isValid;
isValid = validateInput('heightCm', 'heightCmError', 1, 250) && isValid; // Realistic range for children
isValid = validateInput('weightKg', 'weightKgError', 0.1, 150) && isValid; // Realistic range
if (!isValid) {
getElement('mainResult').textContent = 'Invalid Input';
getElement('heightPercentile').textContent = '–';
getElement('weightPercentile').textContent = '–';
getElement('bmiPercentile').textContent = '–';
getElement('resultSex').textContent = '–';
getElement('resultAge').textContent = '–';
getElement('resultHeight').textContent = '–';
getElement('resultWeight').textContent = '–';
return;
}
var bmi = calculateBmi(heightCm, weightKg);
// Use simplified percentile calculation
var heightP = getApproximatePercentile(ageMonths, heightCm, 'height', sexLabel);
var weightP = getApproximatePercentile(ageMonths, weightKg, 'weight', sexLabel);
var bmiP = getApproximatePercentile(ageMonths, bmi, 'bmi', sexLabel);
var mainResultText = "Growth Status: ";
var growthStatus = "Average";
var resultColor = "var(–success-color)";
if (bmiP !== null) {
if (bmiP = 85 && bmiP = 95) { growthStatus = "Obese"; resultColor = "#dc3545"; }
else { growthStatus = "Healthy Weight"; resultColor = "var(–success-color)"; }
mainResultText += growthStatus;
} else {
mainResultText += "N/A";
}
getElement('mainResult').textContent = mainResultText;
getElement('mainResult').style.color = resultColor;
getElement('heightPercentile').textContent = heightP !== null ? heightP + '%' : 'N/A';
getElement('weightPercentile').textContent = weightP !== null ? weightP + '%' : 'N/A';
getElement('bmiPercentile').textContent = bmiP !== null ? bmiP + '%' : 'N/A';
getElement('resultSex').textContent = sexLabel;
getElement('resultAge').textContent = ageMonths;
getElement('resultHeight').textContent = heightCm;
getElement('resultWeight').textContent = weightKg;
// Update chart
updateChart(ageMonths, heightCm, weightKg, sexValue);
}
function resetCalculator() {
getElement('sex').value = '1'; // Default to Boy
getElement('ageMonths').value = '24'; // Default to 24 months
getElement('heightCm').value = '90'; // Default height for 24 months boy
getElement('weightKg').value = '12'; // Default weight for 24 months boy
// Clear errors
getElement('ageMonthsError').style.display = 'none';
getElement('heightCmError').style.display = 'none';
getElement('weightKgError').style.display = 'none';
getElement('ageMonths').style.borderColor = '#ddd';
getElement('heightCm').style.borderColor = '#ddd';
getElement('weightKg').style.borderColor = '#ddd';
calculatePercentile(); // Recalculate with defaults
}
function copyResults() {
var mainResult = getElement('mainResult').textContent;
var heightP = getElement('heightPercentile').textContent;
var weightP = getElement('weightPercentile').textContent;
var bmiP = getElement('bmiPercentile').textContent;
var sex = getElement('resultSex').textContent;
var age = getElement('resultAge').textContent;
var height = getElement('resultHeight').textContent;
var weight = getElement('resultWeight').textContent;
var resultsText = "Age Height Weight Percentile Results:\n\n";
resultsText += mainResult + "\n";
resultsText += "Height Percentile: " + heightP + "\n";
resultsText += "Weight Percentile: " + weightP + "\n";
resultsText += "BMI Percentile: " + bmiP + "\n\n";
resultsText += "Assumptions:\n";
resultsText += "Sex: " + sex + "\n";
resultsText += "Age: " + age + " months\n";
resultsText += "Height: " + height + " cm\n";
resultsText += "Weight: " + weight + " kg\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!' : 'Copy failed!';
// Optionally show a temporary message to the user
alert(msg);
} catch (err) {
alert('Oops, unable to copy');
}
document.body.removeChild(textArea);
}
// Initialize calculator on page load
window.onload = function() {
resetCalculator(); // Set default values and calculate
// Initialize chart after resetCalculator has set initial values
initializeChart();
// Update chart with initial values
updateChart(
parseInt(getElement('ageMonths').value),
parseFloat(getElement('heightCm').value),
parseFloat(getElement('weightKg').value),
getElement('sex').value
);
};