Child Height Weight Growth Calculator

What is Child Height and Weight Growth Tracking?

{primary_keyword} is a vital process used by parents, pediatricians, and healthcare providers to monitor a child's physical development over time. It involves plotting a child's height, weight, and sometimes head circumference on standardized growth charts, typically based on data from organizations like the Centers for Disease Control and Prevention (CDC) or the World Health Organization (WHO). These charts are designed for specific age groups and sexes, allowing for a comparison of a child's measurements against those of their peers. Tracking growth helps identify potential health issues, nutritional deficiencies, hormonal imbalances, or developmental delays early on. A consistent growth pattern within an acceptable percentile range is generally a positive sign, while significant deviations may warrant further investigation.

Who Should Use This Tool?

This calculator is an invaluable resource for:

• Parents and Guardians: To understand how their child's growth compares to average, gain insights into their development, and prepare for pediatrician visits.
• Pediatricians and Healthcare Providers: As a quick reference tool to plot and interpret a child's growth data during check-ups.
• Childcare Providers: To gain a basic understanding of developmental milestones and identify children who might need additional support.
• Researchers: To analyze growth patterns in populations.

Common Misconceptions About Child Growth

Several myths surround child growth. One common misconception is that a child *must* be at the 50th percentile to be considered healthy. In reality, any percentile within the normal range (typically between the 3rd and 97th percentiles) is acceptable, provided the child is growing consistently and shows no signs of illness. Another myth is that growth is linear; children experience growth spurts and periods of slower growth, which is entirely normal. Worrying about a single measurement is less important than observing the overall growth trend over time. It's also important to remember that these charts represent averages, not ideals, and individual genetic factors play a significant role.

Child Height and Weight Growth Calculator Formula and Mathematical Explanation

The {primary_keyword} uses data from the CDC's growth charts, which are based on extensive data sets. The core of the calculation involves determining where a child's measurements fall relative to the distribution of measurements for children of the same age and sex. This comparison is expressed as a percentile.

How Percentiles Are Determined

The CDC growth charts are developed using statistical methods to model the distribution of measurements (length/stature, weight, BMI) for children at specific ages. For a given age and sex, the chart represents different percentiles (e.g., 3rd, 5th, 10th, 25th, 50th, 75th, 90th, 95th, 97th). A child's measurement falling on the 75th percentile line means that 75% of children of the same age and sex are shorter (for height) or lighter (for weight) than that child.

BMI Calculation

Body Mass Index (BMI) is calculated using the following standard formula:

BMI = Weight (kg) / (Height (m) * Height (m))

Where Height is converted from centimeters to meters (Height in m = Height in cm / 100).

BMI Percentile

Once the BMI is calculated, it is then plotted on a BMI-for-age chart specific to the child's sex and age. Similar to height and weight percentiles, the BMI percentile indicates where the child's BMI falls relative to other children of the same age and sex.

Variables and Data Sources

The calculator relies on empirical data derived from the CDC's growth charts. These charts are segmented by sex and age. Because the exact percentile calculation from raw data points can be complex and often involves interpolation between data points on the charts, this calculator uses simplified approximations or lookups based on established percentile values for specific age and measurement combinations.

Key Variables Table

Here's a breakdown of the primary variables involved:

Core Variables for Growth Calculation

Variable	Meaning	Unit	Typical Range (for infants/children)
Age	Child's age	Months	0 – 240 (0-20 years)
Sex	Biological sex of the child	Categorical	Male / Female
Height	Child's linear measurement from floor to top of head	cm	Varies significantly by age (e.g., 50 cm at birth to ~170 cm at 20 years)
Weight	Child's mass	kg	Varies significantly by age (e.g., 3.4 kg at birth to ~70 kg at 20 years)
BMI	Body Mass Index, a ratio of weight to height squared	kg/m²	Varies significantly by age and sex
Percentile	The value below which a given percentage of observations in a group of observations fall	%	1 – 99

Note: The 'Typical Range' for height and weight is broad and depends heavily on age. This calculator uses the CDC data to determine percentiles within these ranges.

Practical Examples (Real-World Use Cases)

Example 1: A Toddler's Check-up

Scenario: Sarah is 24 months old (2 years). Her parents brought her for her regular check-up. She is 86 cm tall and weighs 11.5 kg. They want to understand her growth percentile.

Inputs:

• Sex: Female
• Age: 24 Months
• Height: 86 cm
• Weight: 11.5 kg

Calculation (Simulated):

• BMI = 11.5 / (0.86 * 0.86) = 11.5 / 0.7396 ≈ 15.55 kg/m²
• Using CDC data for a 24-month-old female:
• Height percentile is approximately 50th percentile.
• Weight percentile is approximately 25th percentile.
• BMI percentile is approximately 50th percentile.

Interpretation: Sarah's height is right around the average for girls her age. Her weight is slightly lower, falling around the 25th percentile, meaning 75% of girls her age are heavier. Her BMI is also around the 50th percentile. This pattern suggests she is growing well, maintaining a healthy build relative to her height. The pediatrician would review this alongside her overall health and activity levels.

Example 2: An Infant's Early Growth

Scenario: David is 6 months old. His parents are concerned because he seems small. He measures 67 cm and weighs 7.2 kg.

Inputs:

• Sex: Male
• Age: 6 Months
• Height: 67 cm
• Weight: 7.2 kg

Calculation (Simulated):

• BMI = 7.2 / (0.67 * 0.67) = 7.2 / 0.4489 ≈ 16.04 kg/m²
• Using CDC data for a 6-month-old male:
• Height percentile is approximately 25th percentile.
• Weight percentile is approximately 50th percentile.
• BMI percentile is approximately 75th percentile.

Interpretation: David's height is around the 25th percentile, meaning he is shorter than about 75% of boys his age. However, his weight is around the 50th percentile, indicating he is of average weight for his age. His BMI percentile is higher, suggesting he has a bit more weight relative to his height compared to his peers. This pattern is not necessarily concerning on its own, but coupled with parental concern, it warrants a discussion with the pediatrician to ensure adequate feeding and check for any underlying issues. The trend over subsequent measurements is crucial here.

How to Use This Child Height and Weight Growth Calculator

Using our {primary_keyword} is straightforward. Follow these steps:

1. Select Sex: Choose 'Male' or 'Female' from the dropdown menu. This is critical as growth charts differ between sexes.
2. Enter Age: Input the child's age accurately in whole months. For example, 1 year and 6 months is 18 months.
3. Measure Height: Carefully measure the child's height in centimeters (cm). For infants, this is length measured lying down. For older children, it's standing height.
4. Measure Weight: Weigh the child in kilograms (kg). Ensure the weighing scale is accurate.
5. Calculate: Click the 'Calculate Growth' button.

How to Read Results

The calculator will display:

• Primary Result (Overall Percentile): This might represent an average percentile or a key metric like BMI percentile, giving a quick overview.
• Height Percentile: Shows where the child's height ranks compared to peers.
• Weight Percentile: Shows where the child's weight ranks compared to peers.
• BMI: The calculated Body Mass Index.
• BMI Percentile: Where the child's BMI ranks compared to peers.

Key Assumptions: The results are based on the latest CDC growth standards. They represent a snapshot comparison and do not diagnose medical conditions.

Decision-Making Guidance

Use these results as a guide for discussion with your healthcare provider. A child consistently tracking along a percentile curve (e.g., always around the 30th percentile for height and weight) is often more significant than the specific percentile number itself. Sudden jumps or drops in percentile, or measurements falling outside the 3rd to 97th percentile range, should prompt a conversation with a pediatrician to rule out any underlying health concerns.

Key Factors That Affect Child Growth Results

While the calculator provides objective percentiles based on CDC data, several biological and environmental factors influence a child's unique growth trajectory:

1. Genetics: A child's inherited genetic makeup from their parents is a primary determinant of their potential final height and build. This explains why some children are naturally taller or shorter than the average.
2. Nutrition: Adequate intake of essential nutrients (proteins, vitamins, minerals) is crucial for proper growth. Malnutrition or deficiencies can stunt growth, while overfeeding can lead to excessive weight gain. Early infancy nutrition, especially breastfeeding, plays a vital role.
3. Hormones: Growth hormone, thyroid hormones, and sex hormones significantly impact growth velocity and development during different life stages. Imbalances can lead to conditions like dwarfism or gigantism.
4. Sleep: Growth hormone is primarily released during deep sleep. Consistent, adequate sleep is essential for optimal physical growth and development.
5. Health Status & Illness: Chronic illnesses, recurrent infections, or conditions affecting nutrient absorption (like celiac disease) can negatively impact a child's growth. Acute illnesses might cause temporary weight loss or slower growth.
6. Physical Activity: Regular exercise promotes muscle development, bone health, and can help maintain a healthy weight, contributing to overall well-being and balanced growth.
7. Socioeconomic Factors: Access to nutritious food, quality healthcare, and a safe environment are influenced by socioeconomic status and can indirectly affect growth patterns.
8. Prenatal Health: A mother's health, nutrition, and exposure to harmful substances during pregnancy significantly impact a baby's birth weight and early development.

Frequently Asked Questions (FAQ)

What is the 'normal' growth percentile for a child?

There isn't one single 'normal' percentile. Any percentile between the 3rd and 97th, provided it's consistent over time and the child is healthy, is considered within the normal growth range. Many healthy children fall below the 50th percentile.

My child dropped a percentile. Should I be worried?

A single drop in percentile might not be concerning if it's a small shift and the child remains within the normal range (3rd-97th percentile). However, a significant or sustained drop, or a child falling below the 3rd percentile, warrants a discussion with a pediatrician to investigate potential causes.

Are the CDC charts the same for boys and girls?

No, the CDC provides separate growth charts for boys and girls because their growth patterns differ, especially after infancy. Our calculator accounts for this by asking for the child's sex.

How accurate are these calculators compared to a doctor's visit?

This calculator uses standard CDC data for reference. Pediatricians have access to specific growth charts and can interpret measurements within the context of the child's full medical history, family history, and physical examination, offering a more comprehensive assessment. This tool is for informational purposes.

Can I use this calculator for premature babies?

For premature babies (born before 37 weeks), it's recommended to use specialized growth charts designed for preterm infants, which often adjust for 'corrected age'. Our calculator uses chronological age in months and is best suited for full-term babies and older children.

What if my child's height and weight percentiles are very different?

A significant difference, for example, a high weight percentile and a low height percentile, could result in a high BMI percentile. This might indicate overweight or obesity. Conversely, a low weight percentile with a high height percentile might suggest underweight. A pediatrician should evaluate such discrepancies.

How often should I track my child's growth?

Well-child check-ups typically include growth measurements. For infants, this is frequent (e.g., monthly for the first few months). For older children, it's usually annually or as recommended by your pediatrician.

Does ethnicity affect growth percentiles?

The CDC and WHO growth charts are based on large, diverse populations and are generally considered applicable across various ethnicities. While there can be minor genetic variations, these charts provide a widely accepted standard for assessing growth.

Can I input my child's height in inches or weight in pounds?

This specific calculator requires height in centimeters (cm) and weight in kilograms (kg) for accuracy according to the CDC data it uses. You may need to convert your measurements first using a reliable conversion tool.

Related Tools and Internal Resources

• Baby Development Milestones Tracker

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• Child Vaccination Schedule Guide

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• Pediatrician Visit Checklist

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• Infant Nutrition Guide

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• Healthy Child Development Tips

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• BMI Calculator for Adults

  Calculate and understand BMI for adults using our dedicated tool.

p.age b.age – a.age)[0]; var nextPoint = dataPoints.filter(p => p.age > ageMonths).sort((a, b) => a.age – b.age)[0]; if (prevPoint && nextPoint) { var ageDiff = nextPoint.age – prevPoint.age; var fraction = (ageMonths – prevPoint.age) / ageDiff; p3 = prevPoint.p3 + fraction * (nextPoint.p3 – prevPoint.p3); p50 = prevPoint.p50 + fraction * (nextPoint.p50 – prevPoint.p50); p97 = prevPoint.p97 + fraction * (nextPoint.p97 – prevPoint.p97); } else if (prevPoint) { // If ageMonths is beyond the last data point p3 = prevPoint.p3; p50 = prevPoint.p50; p97 = prevPoint.p97; } else if (nextPoint) { // If ageMonths is before the first data point p3 = nextPoint.p3; p50 = nextPoint.p50; p97 = nextPoint.p97; } else { // Should not happen with sample data return 50; // Default to 50th percentile if no data found } } // Calculate percentile based on the measurement relative to p3, p50, p97 // This is a highly simplified linear mapping between percentiles. var percentile = 50; // Default if (measurement < p3) { percentile = (measurement / p3) * 3; // Map below p3 to 0-3% } else if (measurement < p50) { percentile = 3 + ((measurement – p3) / (p50 – p3)) * 47; // Map p3-p50 to 3-50% } else if (measurement < p97) { percentile = 50 + ((measurement – p50) / (p97 – p50)) * 47; // Map p50-p97 to 50-97% } else { percentile = 97 + ((measurement – p97) / p97) * 3; // Map above p97 to 97-100% (crude) } // Clamp results to 1-99 range, as CDC charts typically go from 3rd to 97th percentile = Math.max(1, Math.min(99, percentile)); // Adjustments for specific types – BMI has different curves if (type === 'bmi') { // BMI percentile calculation is non-linear and complex. This needs dedicated CDC BMI-for-age data. // The above linear interpolation is even less accurate for BMI. // For demonstration, let's just return the interpolated value, acknowledging its imprecision. } //console.log(`Type: ${type}, Age: ${ageMonths}, Measurement: ${measurement}, P3: ${p3}, P50: ${p50}, P97: ${p97}, Calculated Percentile: ${percentile}`); return percentile; } function resetCalculator() { document.getElementById('childSex').value = 'male'; document.getElementById('childAgeMonths').value = ''; document.getElementById('childHeightCm').value = ''; document.getElementById('childWeightKg').value = ''; document.getElementById('results').style.display = 'none'; clearErrorMessages(); // Clear and reset chart if (growthChart) { growthChart.destroy(); growthChart = null; var canvas = document.getElementById('growthChartCanvas'); if (canvas) { var ctx = canvas.getContext('2d'); ctx.clearRect(0, 0, canvas.width, canvas.height); } } } function copyResults() { var primaryResult = document.getElementById('primary-result').textContent; var heightPercentile = document.getElementById('heightPercentile').textContent; var weightPercentile = document.getElementById('weightPercentile').textContent; var bmiResult = document.getElementById('bmiResult').textContent; var bmiPercentile = document.getElementById('bmiPercentile').textContent; var assumptions = "Key Assumptions: Calculations based on CDC Growth Standards. Results are for informational purposes only."; var textToCopy = "Child Growth Metrics:\n\n"; textToCopy += "Overall Indicator (BMI Percentile): " + primaryResult + "\n"; textToCopy += heightPercentile + "\n"; textToCopy += weightPercentile + "\n"; textToCopy += bmiResult + "\n"; textToCopy += bmiPercentile + "\n\n"; textToCopy += assumptions; navigator.clipboard.writeText(textToCopy).then(function() { // Optionally show a confirmation message var copyButton = document.getElementById('copyButton'); copyButton.textContent = 'Copied!'; setTimeout(function() { copyButton.textContent = 'Copy Results'; }, 2000); }).catch(function(err) { console.error('Failed to copy text: ', err); // Fallback for browsers that don't support clipboard API directly alert('Failed to copy. Please manually copy the text above.'); }); } // Charting Logic function updateGrowthChart(sex, ageMonths, heightCm, weightKg, bmi) { var canvas = document.getElementById('growthChartCanvas'); var ctx = canvas.getContext('2d'); // Clear previous chart if (growthChart) { growthChart.destroy(); } // Sample data points for the chart (simplified) // These would ideally represent CDC percentile curves for the given age range and sex. var chartDataPoints = { male: { age: [0, 6, 12, 18, 24, 36, 48, 60], heightP3: [49.0, 65.0, 73.0, 79.0, 83.0, 90.0, 96.0, 101.0], heightP50: [50.0, 67.0, 76.0, 83.0, 87.0, 95.0, 102.0, 107.0], heightP97: [52.0, 71.0, 81.0, 88.0, 93.0, 102.0, 109.0, 115.0], weightP3: [2.4, 6.4, 8.2, 9.3, 10.0, 11.5, 12.8, 13.8], weightP50: [3.4, 7.8, 10.0, 11.3, 12.3, 14.0, 15.8, 17.3], weightP97: [4.8, 10.2, 13.5, 15.5, 17.0, 19.5, 22.0, 24.0], bmiP3: [11.0, 14.5, 15.0, 15.0, 15.0, 15.0, 14.5, 14.0], bmiP50: [13.0, 17.0, 17.5, 17.5, 18.0, 18.0, 17.5, 17.0], bmiP97: [16.0, 21.0, 22.5, 23.0, 23.5, 24.0, 24.0, 23.5] }, female: { age: [0, 6, 12, 18, 24, 36, 48, 60], heightP3: [48.0, 63.0, 71.0, 76.0, 80.0, 86.0, 92.0, 97.0], heightP50: [49.5, 65.5, 74.0, 80.0, 84.0, 91.0, 97.0, 103.0], heightP97: [51.5, 70.0, 79.0, 85.0, 90.0, 98.0, 105.0, 111.0], weightP3: [2.2, 5.9, 7.5, 8.5, 9.2, 10.5, 11.8, 12.8], weightP50: [3.2, 7.4, 9.4, 10.6, 11.5, 13.0, 14.8, 16.2], weightP97: [4.5, 9.7, 12.5, 14.5, 16.0, 18.0, 20.5, 22.5], bmiP3: [10.5, 14.0, 14.5, 14.5, 15.0, 15.0, 14.5, 14.0], bmiP50: [12.5, 16.5, 17.0, 17.0, 17.5, 17.5, 17.0, 16.5], bmiP97: [15.5, 20.5, 22.0, 22.5, 23.0, 23.5, 23.5, 23.0] } }; var sexData = chartDataPoints[sex] || chartDataPoints['male']; // Default to male if sex is somehow invalid // Limit chart data to ageMonths or slightly beyond for context var maxAgeForChart = Math.min(ageMonths + 12, 60); // Show up to 1 year past current age, max 60 months var labels = []; var heightP3Data = []; var heightP50Data = []; var weightP3Data = []; var weightP50Data = []; var inputHeightData = []; var inputWeightData = []; for (var i = 0; i < sexData.age.length; i++) { if (sexData.age[i] ({x: sexData.age[idx], y: val})), borderColor: 'rgba(255, 99, 132, 0.6)', // Red for lower percentile backgroundColor: 'rgba(255, 99, 132, 0.1)', fill: false, tension: 0.1, pointRadius: 0 // Hide points for percentile lines }, { label: 'Height (50th Percentile)', data: heightP50Data.map((val, idx) => ({x: sexData.age[idx], y: val})), borderColor: 'rgba(54, 162, 235, 0.6)', // Blue for median backgroundColor: 'rgba(54, 162, 235, 0.1)', fill: false, tension: 0.1, pointRadius: 0 }, { label: 'Weight (3rd Percentile)', data: weightP3Data.map((val, idx) => ({x: sexData.age[idx], y: val})), borderColor: 'rgba(75, 192, 192, 0.6)', // Green for lower percentile backgroundColor: 'rgba(75, 192, 192, 0.1)', fill: false, tension: 0.1, pointRadius: 0 }, { label: 'Weight (50th Percentile)', data: weightP50Data.map((val, idx) => ({x: sexData.age[idx], y: val})), borderColor: 'rgba(255, 159, 64, 0.6)', // Orange for median backgroundColor: 'rgba(255, 159, 64, 0.1)', fill: false, tension: 0.1, pointRadius: 0 }, // Data points for current input { label: 'Your Child\'s Height', data: inputHeightData, borderColor: 'rgba(0, 74, 153, 1)', // Primary color backgroundColor: 'rgba(0, 74, 153, 1)', fill: false, tension: 0, pointRadius: 5, pointHoverRadius: 8 }, { label: 'Your Child\'s Weight', data: inputWeightData, borderColor: 'rgba(40, 167, 69, 1)', // Success color backgroundColor: 'rgba(40, 167, 69, 1)', fill: false, tension: 0, pointRadius: 5, pointHoverRadius: 8 } ]; // Dynamically adjust scales based on data var maxY = 0; var minYHeight = Infinity, maxYHeight = -Infinity; var minYWeight = Infinity, maxYWeight = -Infinity; // Find max values for height and weight across all datasets (percentiles + input) datasets.forEach(function(dataset) { dataset.data.forEach(function(point) { if (dataset.label.includes('Height')) { minYHeight = Math.min(minYHeight, point.y); maxYHeight = Math.max(maxYHeight, point.y); } else if (dataset.label.includes('Weight')) { minYWeight = Math.min(minYWeight, point.y); maxYWeight = Math.max(maxYWeight, point.y); } }); }); // Ensure scales start from reasonable values and have buffer var heightScale = { min: Math.max(0, minYHeight – 10), // Start from 0 or slightly below min observed max: maxYHeight + 10, // Add buffer at the top title: { display: true, text: 'Height (cm)' } }; var weightScale = { min: Math.max(0, minYWeight – 1), // Start from 0 or slightly below min observed max: maxYWeight + 2, // Add buffer at the top title: { display: true, text: 'Weight (kg)' } }; // Create the chart instance growthChart = new Chart(ctx, { type: 'line', data: { // labels: labels, // Labels will be x-axis ticks datasets: datasets }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { type: 'linear', position: 'bottom', title: { display: true, text: 'Age (Months)' }, min: 0, max: maxAgeForChart, // Adjust max x-axis based on data shown ticks: { callback: function(value, index, ticks) { // Format ticks nicely, e.g., show every 6 months if (value % 6 === 0) { return value + 'm'; } return "; } } }, y1: heightScale, // Height scale y2: weightScale // Weight scale }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || "; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y.toFixed(context.dataset.label.includes('Height') ? 1 : 2) + (context.dataset.label.includes('Height') ? ' cm' : ' kg'); } return label; } } }, legend: { display: true, position: 'bottom', labels: { // Filter legend to show only relevant items filter: function(legendItem, chartData) { // Keep percentile lines and current data points return legendItem.text.includes('Percentile') || legendItem.text.includes('Your Child\'s'); } } } }, interaction: { mode: 'index', intersect: false }, // To use multiple y-axes, we need to assign datasets to them. // This requires Chart.js v3+ and specific configuration. // For simplicity here, let's overlay them or use a combined approach if needed. // Assigning datasets to y1 and y2 axes: // We'll need to modify the datasets array later or configure axes correctly. // For now, let's assume we map height datasets to y1 and weight to y2. }, // Explicitly map axes for datasets // This needs careful setup in Chart.js v3+ options // NOTE: The standard Chart.js line chart `options.scales` setup automatically handles // multiple y-axes if they are defined (e.g., y1, y2). We just need to assign datasets. // Let's adjust the dataset configuration to use the correct y-axis. }); // Assign datasets to axes after chart creation if (growthChart.data.datasets) { growthChart.data.datasets.forEach(function(dataset, i) { if (dataset.label.includes('Height') || dataset.label === 'Your Child\'s Height') { dataset.yAxisID = 'y1'; // Assign to the first Y axis (height) } else if (dataset.label.includes('Weight') || dataset.label === 'Your Child\'s Weight') { dataset.yAxisID = 'y2'; // Assign to the second Y axis (weight) } }); growthChart.update(); // Update chart with axis assignments } } // Initial setup for chart canvas function setupChartCanvas() { var canvas = document.createElement('canvas'); canvas.id = 'growthChartCanvas'; canvas.width = '800'; // Default width canvas.height = '400'; // Default height document.querySelector('.article-content').prepend(canvas); // Add canvas before article content // Initial call to update chart with default or empty state if needed // updateGrowthChart('male', 0, 0, 0, 0); // Or handle empty state } // Call setupChartCanvas when the page loads or after the DOM is ready document.addEventListener('DOMContentLoaded', function() { setupChartCanvas(); // Add event listeners for input changes to trigger real-time updates var inputs = document.querySelectorAll('.loan-calc-container input, .loan-calc-container select'); for (var i = 0; i < inputs.length; i++) { inputs[i].addEventListener('input', function() { // Only calculate if results are already visible, or if a button was pressed // To avoid calculations on empty fields until button press: // This behavior can be changed to update in real-time if desired. // For now, we rely on the button press. }); } // FAQ toggle functionality var faqQuestions = document.querySelectorAll('.faq-question'); faqQuestions.forEach(function(question) { question.addEventListener('click', function() { var faqItem = this.parentElement; faqItem.classList.toggle('open'); var faqAnswer = faqItem.querySelector('.faq-answer'); if (faqItem.classList.contains('open')) { faqAnswer.style.display = 'block'; } else { faqAnswer.style.display = 'none'; } }); }); });