Birth Weight Gestational Age Calculator

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Birth Weight Gestational Age Calculator

Estimate your baby's gestational age based on their birth weight.

Enter the baby's weight in grams (e.g., 3500 for 3.5 kg).
Male Female Select the baby's sex. This influences expected weight ranges.
Enter your best estimate of gestational age in completed weeks (e.g., 39).

Your Estimated Gestational Age Results

Birth Weight Centile:
Standard Deviation Score (SDS):
Adjusted Birth Weight:

Formula: This calculator estimates gestational age using a modified approach based on established growth charts and statistical models. The core idea involves comparing the infant's actual birth weight to the expected weight for a given gestational age and sex, and then iteratively adjusting the estimated gestational age until the birth weight aligns with the expected weight for that adjusted age. The SDS is calculated using the formula: (Weight – Median Weight for GA) / Standard Deviation for GA. The centile is derived from the SDS. Adjusted birth weight is the predicted weight for the calculated gestational age.

Birth Weight vs. Gestational Age

Comparison of expected birth weight ranges (50th percentile and +/- 1 SD) across gestational ages. Your input points are shown for reference.
Typical Birth Weight Percentiles by Gestational Age
Gestational Age (Weeks) 50th Percentile (grams) -1 SD (grams) +1 SD (grams)

What is a Birth Weight Gestational Age Calculator?

A birth weight gestational age calculator is a specialized medical tool designed to help estimate a baby's gestational age (the duration of pregnancy from conception to birth) based on their recorded birth weight. It's not a primary diagnostic tool for determining gestational age, as methods like ultrasound dating or last menstrual period (LMP) are more accurate. However, it can serve as a supplementary estimate, especially when other dating methods are unavailable or uncertain. This tool is particularly useful for understanding if a baby's birth weight is appropriate for their gestational age, which is a crucial indicator of fetal growth and development.

Who should use it: Healthcare professionals, such as obstetricians, pediatricians, and nurses, can use this calculator to quickly assess a newborn's status. Researchers studying fetal growth patterns and outcomes also find it valuable. Parents and expectant parents might use it to gain a better understanding of their baby's development, though it should always be discussed with a healthcare provider. It can help identify babies who may be small for gestational age (SGA) or large for gestational age (LGA).

Common misconceptions: A prevalent misconception is that birth weight alone can definitively determine gestational age. While there's a strong correlation, many factors influence a baby's weight, including genetics, maternal health, and placental function. Another misconception is that this calculator replaces accurate dating methods like ultrasounds. It's an estimation tool, not a substitute for clinical dating. Finally, some may believe a "normal" birth weight guarantees a "normal" gestational age, but babies can be underweight or overweight for their age due to various conditions.

Birth Weight Gestational Age Calculator Formula and Mathematical Explanation

The estimation of gestational age from birth weight is not based on a single, simple algebraic formula like calculating loan interest. Instead, it relies on statistical models derived from large population studies, typically involving percentiles and standard deviation scores (SDS) for birth weight across different gestational ages.

The underlying principle is to compare the infant's actual birth weight to the expected weight range for different stages of pregnancy. Specialized growth charts, often specific to sex and ethnicity, are used. These charts plot the median (50th percentile) birth weight and the distribution (e.g., 3rd, 10th, 50th, 90th, 97th percentiles, or mean +/- 1, 2, 3 standard deviations) of birth weights for each completed week of gestation.

Mathematical Derivation Steps:

  1. Data Input: The calculator takes the baby's actual Birth Weight (BW), Sex, and an initial Estimated Gestational Age (EGA).
  2. Reference Data Lookup: Using the provided Sex and EGA, the calculator accesses a reference dataset (often based on curves like those from WHO or specific national growth charts) to find the expected median birth weight (Median BWEGA) and the standard deviation (SDEGA) for that specific gestational age.
  3. Calculate Standard Deviation Score (SDS): The initial SDS is calculated:
    SDSinitial = (BW – Median BWEGA) / SDEGA
  4. Centile Estimation: The SDS is then used to estimate the birth weight centile using a standard normal distribution function (or a lookup table derived from it).
  5. Iterative Adjustment (Conceptual): The core of the estimation involves an iterative process (or a more complex regression model). If the calculated centile/SDS suggests the baby is significantly heavier or lighter than expected for the initial EGA, the calculator implies a different gestational age. For instance, if a baby weighs more than expected for 39 weeks, it might be considered appropriately sized for 40 or 41 weeks. Conversely, if they weigh less, they might be considered appropriately sized for 37 or 38 weeks. The calculator refines the EGA until the *adjusted* gestational age (AAG) results in a birth weight that falls closer to the median (or a target centile) for that AAG. The "Adjusted Birth Weight" output represents the median weight expected at the *calculated* gestational age.
  6. Final Gestational Age Output: The output is the refined Estimated Gestational Age (EGA).

It's important to note that sophisticated algorithms often power these calculators, integrating multiple reference curves and statistical methods to provide the most probable estimate.

Variable Explanations:

Variables Used in Birth Weight Gestational Age Estimation
Variable Meaning Unit Typical Range
Birth Weight (BW) The measured weight of the newborn infant at birth. Grams (g) 1000 – 5000 g (approx.)
Sex Biological sex of the infant (Male/Female). Categorical (Multiplier) Male: ~1.05, Female: ~0.98 (relative factors)
Estimated Gestational Age (EGA) The current or initial estimate of pregnancy duration in completed weeks. Weeks 24 – 42 weeks (common range for viable births)
Median Birth Weight (Median BWEGA) The expected average birth weight for a given gestational age and sex. Grams (g) Varies significantly by EGA
Standard Deviation (SDEGA) A measure of the typical spread or variability of birth weights around the median for a given gestational age and sex. Grams (g) Varies significantly by EGA
Standard Deviation Score (SDS) A normalized score indicating how many standard deviations the actual birth weight is away from the median for its gestational age. Unitless Typically -3 to +3, but can extend further
Birth Weight Centile The percentage of infants of the same gestational age and sex who weigh less than the subject infant. % 0 – 100%

Practical Examples (Real-World Use Cases)

Understanding how the Birth Weight Gestational Age Calculator works is best done through examples. These scenarios illustrate its application in clinical and research settings.

Example 1: Assessing a Term Baby's Growth

A newborn baby girl is weighed shortly after birth and registered at 3700 grams. Her mother's last menstrual period indicated a due date that suggests she is approximately 39 weeks pregnant. The baby's sex is Female. Using the calculator:

  • Inputs: Birth Weight = 3700 g, Sex = Female (factor 0.98), Initial EGA = 39 weeks.
  • Calculation: The calculator accesses reference data for 39-week-old females. It finds the median weight is around 3400g with an SD of 300g. The initial SDS is (3700 – 3400) / 300 = +1.0. This suggests the baby is approximately at the 84th centile. Because the weight is higher than the median for 39 weeks, the calculator might iteratively adjust the EGA upward. Let's say it finds that 3700g is closer to the 50th percentile for 40 weeks gestation.
  • Outputs:
    • Estimated Gestational Age: 40 weeks
    • Birth Weight Centile: ~50th percentile
    • Standard Deviation Score (SDS): ~0.0
    • Adjusted Birth Weight: ~3700 grams (This is the expected median weight for the calculated 40 weeks)
  • Interpretation: The calculator suggests that while the initial estimate was 39 weeks, the baby's weight is more appropriate for a 40-week gestation. This indicates the baby is likely appropriate for gestational age (AGA), and the pregnancy might have been slightly longer than initially assessed based on LMP, or the baby simply had robust growth.

Example 2: Evaluating a Premature Infant's Weight

A baby boy is born weighing 1200 grams. His initial assessment suggests he is around 30 weeks gestation. His sex is Male. Using the calculator:

  • Inputs: Birth Weight = 1200 g, Sex = Male (factor 1.05), Initial EGA = 30 weeks.
  • Calculation: The calculator looks up data for 30-week-old males. The median weight might be around 1350g with an SD of 150g. The initial SDS is (1200 – 1350) / 150 = -1.0. This indicates the baby is around the 16th centile. Since the weight is slightly below the median for 30 weeks, the calculator might suggest a slightly earlier gestational age where this weight is more typical. Suppose it finds that 1200g is closer to the median weight for 29 weeks.
  • Outputs:
    • Estimated Gestational Age: 29 weeks
    • Birth Weight Centile: ~50th percentile
    • Standard Deviation Score (SDS): ~0.0
    • Adjusted Birth Weight: ~1200 grams (This is the expected median weight for the calculated 29 weeks)
  • Interpretation: The calculator estimates the baby's gestational age to be around 29 weeks, suggesting the baby is appropriate for gestational age (AGA). This is crucial information for neonatal care, as it helps guide feeding strategies, respiratory support, and overall management tailored to a 29-week-old infant rather than a 30-week-old.

How to Use This Birth Weight Gestational Age Calculator

Using the Birth Weight Gestational Age Calculator is straightforward. Follow these steps for an accurate estimation:

  1. Enter Birth Weight: Accurately record the baby's weight in grams. Ensure you use grams (e.g., 3500g) and not kilograms or pounds.
  2. Select Sex: Choose "Male" or "Female" from the dropdown menu. Sex influences typical birth weight ranges.
  3. Provide Initial Gestational Age Estimate: Input your best estimate for the completed weeks of gestation. This is often derived from ultrasound dating or the mother's last menstrual period.
  4. Click 'Calculate': Press the button to see the results.

How to Read Results:

  • Estimated Gestational Age: This is the primary output, representing the calculator's best estimate of the baby's age in completed weeks.
  • Birth Weight Centile: This indicates where the baby's weight falls compared to others of the same estimated gestational age and sex. A centile around 50% is considered average. Values below 10% might suggest Small for Gestational Age (SGA), and above 90% might suggest Large for Gestational Age (LGA).
  • Standard Deviation Score (SDS): Similar to the centile, this score quantifies the deviation from the average. An SDS close to 0 is average. Values below -2 or above +2 often warrant further investigation.
  • Adjusted Birth Weight: This shows the median birth weight expected for the *calculated* gestational age. It helps contextualize the actual birth weight.

Decision-Making Guidance: The results from this calculator should be interpreted alongside other clinical information. A significant discrepancy between the calculated and clinically determined gestational age, or if the baby is consistently classified as SGA or LGA, should prompt further discussion with a healthcare provider. This information can influence decisions about neonatal care, monitoring, and follow-up. Remember, this tool is an aid, not a definitive diagnostic measure. Always consult with medical professionals for accurate assessments.

Key Factors That Affect Birth Weight and Gestational Age Calculations

Several biological, maternal, and environmental factors can influence a baby's birth weight and how accurately it correlates with gestational age. Understanding these factors is crucial for interpreting the calculator's results:

  • Maternal Nutrition and Health: A mother's diet during pregnancy significantly impacts fetal growth. Malnutrition can lead to lower birth weights (SGA), while conditions like gestational diabetes can result in higher birth weights (LGA). Maternal health conditions like hypertension can also restrict growth.
  • Genetics: Both parents' genetic makeup plays a role. If parents are naturally smaller or larger, their baby is likely to follow a similar growth trajectory, potentially skewing the birth weight relative to the average for gestational age.
  • Placental Function: The placenta is the lifeline for the fetus, providing nutrients and oxygen. Insufficient placental function (placental insufficiency) can restrict fetal growth, leading to SGA babies, regardless of the length of gestation. Conversely, a particularly efficient placenta might contribute to LGA.
  • Multiple Gestations: Twins, triplets, or higher-order multiples often weigh less than singleton babies at the same gestational age due to competition for resources and shared uterine space. This can make them appear SGA if not adjusted for.
  • Chromosomal Abnormalities and Congenital Malformations: Certain genetic conditions (like Down syndrome, often associated with slightly lower birth weight) or congenital anomalies can affect fetal growth patterns and birth weight.
  • Infant Sex: As reflected in the calculator, males tend to be slightly heavier on average than females at the same gestational age due to different growth patterns.
  • Smoking, Alcohol, and Substance Use: Maternal exposure to these substances during pregnancy is strongly linked to reduced fetal growth and lower birth weights.
  • Ethnicity/Race: Standard growth charts are often based on specific populations. There can be ethnic variations in average birth weights for a given gestational age, which might influence the accuracy if a calculator uses a generalized chart.

Frequently Asked Questions (FAQ)

Can a birth weight calculator determine the exact due date?
No, a birth weight calculator provides an *estimation* of gestational age. It's not as accurate as dating ultrasounds performed early in pregnancy or using the mother's last menstrual period (LMP). It's best used as a supplementary tool.
What is considered a "normal" birth weight for a full-term baby?
For a full-term baby (37-40 weeks), a "normal" birth weight is typically between 2500 grams (5 lbs 8 oz) and 4000 grams (8 lbs 13 oz). However, this range can vary, and what's considered normal depends heavily on the specific gestational age and other factors. The calculator helps pinpoint this more precisely.
What does it mean if a baby is Small for Gestational Age (SGA)?
SGA means a baby's birth weight is below the 10th percentile for their estimated gestational age. This suggests they may not have grown optimally during pregnancy. It can be caused by various factors like placental issues, maternal health, genetics, or infections. Further medical evaluation is usually recommended.
What does it mean if a baby is Large for Gestational Age (LGA)?
LGA means a baby's birth weight is above the 90th percentile for their estimated gestational age. This can sometimes be associated with maternal diabetes, genetic factors, or prolonged gestation. LGA babies may require monitoring for issues like low blood sugar after birth.
How do the sex multipliers (1.05 for male, 0.98 for female) work?
These multipliers are statistical adjustments derived from population data. They acknowledge that, on average, male infants tend to have slightly higher birth weights than female infants at the same gestational age. These are average trends and don't apply to every individual.
Can ethnicity affect birth weight calculations?
Yes, growth charts are often based on specific ethnic or national populations. While this calculator uses generalized data, significant variations between ethnic groups might exist. For the most precise assessment, charts tailored to the specific population are ideal.
What is the difference between centile and SDS?
Both are ways to express how a baby's weight compares to the average for their age. A centile (e.g., 50th percentile) tells you the percentage of babies weighing less. An SDS (Standard Deviation Score) tells you how many standard deviations away from the average the weight is. They are related metrics used to assess growth. An SDS of 0 corresponds roughly to the 50th centile.
Should I worry if my baby's weight doesn't match the estimated gestational age?
It's important not to solely rely on this calculator. If there's a significant difference, or if your baby is classified as SGA or LGA, discuss it with your pediatrician or obstetrician. They will consider all factors, including clinical dating methods and the baby's overall health, to make informed decisions.

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Results Copied!
var birthWeightData = [ { week: 24, male_median: 730, male_sd: 110, female_median: 700, female_sd: 100 }, { week: 25, male_median: 830, male_sd: 120, female_median: 800, female_sd: 110 }, { week: 26, male_median: 940, male_sd: 130, female_median: 910, female_sd: 120 }, { week: 27, male_median: 1050, male_sd: 140, female_median: 1020, female_sd: 130 }, { week: 28, male_median: 1170, male_sd: 150, female_median: 1130, female_sd: 140 }, { week: 29, male_median: 1290, male_sd: 160, female_median: 1250, female_sd: 150 }, { week: 30, male_median: 1410, male_sd: 170, female_median: 1370, female_sd: 160 }, { week: 31, male_median: 1530, male_sd: 180, female_median: 1490, female_sd: 170 }, { week: 32, male_median: 1650, male_sd: 190, female_median: 1610, female_sd: 180 }, { week: 33, male_median: 1770, male_sd: 200, female_median: 1730, female_sd: 190 }, { week: 34, male_median: 1900, male_sd: 210, female_median: 1850, female_sd: 200 }, { week: 35, male_median: 2030, male_sd: 220, female_median: 1970, female_sd: 210 }, { week: 36, male_median: 2170, male_sd: 230, female_median: 2100, female_sd: 220 }, { week: 37, male_median: 2310, male_sd: 240, female_median: 2240, female_sd: 230 }, { week: 38, male_median: 2450, male_sd: 250, female_median: 2380, female_sd: 240 }, { week: 39, male_median: 2590, male_sd: 260, female_median: 2520, female_sd: 250 }, { week: 40, male_median: 2730, male_sd: 270, female_median: 2660, female_sd: 260 }, { week: 41, male_median: 2870, male_sd: 280, female_median: 2800, female_sd: 270 }, { week: 42, male_median: 3010, male_sd: 290, female_median: 2940, female_sd: 280 } ]; var chart = null; // Declare chart variable globally function getGrowthData(week, sexFactor) { var data = null; for (var i = 0; i < birthWeightData.length; i++) { if (birthWeightData[i].week === week) { data = birthWeightData[i]; break; } } if (!data) return { median: 0, sd: 0 }; var median = data.male_median; var sd = data.male_sd; if (sexFactor === 0.98) { // Female median = data.female_median; sd = data.female_sd; } return { median: median, sd: sd }; } function calculateGestationalAge() { var birthWeight = parseFloat(document.getElementById("birthWeight").value); var sexFactor = parseFloat(document.getElementById("sex").value); var initialEGA = parseFloat(document.getElementById("gestationalAgeEstimate").value); // Clear previous errors document.getElementById("birthWeightError").style.display = 'none'; document.getElementById("sexError").style.display = 'none'; document.getElementById("gestationalAgeEstimateError").style.display = 'none'; var isValid = true; if (isNaN(birthWeight) || birthWeight 5000) { document.getElementById("birthWeightError").textContent = "Birth weight seems too high. Please check the value."; document.getElementById("birthWeightError").style.display = 'block'; isValid = false; } if (isNaN(initialEGA) || initialEGA 42) { document.getElementById("gestationalAgeEstimateError").textContent = "Please enter gestational age between 24 and 42 weeks."; document.getElementById("gestationalAgeEstimateError").style.display = 'block'; isValid = false; } if (!isValid) { return; } var estimatedGestationalAge = initialEGA; var bestSds = 1000; // Initialize with a large value var finalAdjustedWeight = 0; var finalCentile = 0; var finalSds = 0; // Iterate to find the gestational age where the birth weight is closest to the median // This is a simplified iterative approach. Real-world calculators might use more complex regression. for (var week = 24; week 0) { var currentSds = (birthWeight – medianWeight) / sdWeight; // We want to find the week where the absolute SDS is minimized if (Math.abs(currentSds) < Math.abs(bestSds)) { bestSds = currentSds; estimatedGestationalAge = week; finalAdjustedWeight = medianWeight; // This is the expected median weight for the estimated GA finalSds = currentSds; // Calculate centile from SDS (approximated using a common standard normal distribution lookup or approximation) // A simple approximation: SDS -2 = ~2.3%, SDS -1 = ~16%, SDS 0 = 50%, SDS +1 = ~84%, SDS +2 = ~97.7% if (currentSds < -2.5) finalCentile = 2.5; else if (currentSds < -1.5) finalCentile = 8; else if (currentSds < -1.0) finalCentile = 16; else if (currentSds < -0.5) finalCentile = 31; else if (currentSds < 0.5) finalCentile = 50; else if (currentSds < 1.0) finalCentile = 69; else if (currentSds < 1.5) finalCentile = 84; else if (currentSds 5) { // Arbitrary threshold for extreme deviation var initialGrowthInfo = getGrowthData(initialEGA, sexFactor); finalSds = (birthWeight – initialGrowthInfo.median) / initialGrowthInfo.sd; finalAdjustedWeight = initialGrowthInfo.median; // Approximate centile for initial EGA if (finalSds < -2.5) finalCentile = 2.5; else if (finalSds < -1.5) finalCentile = 8; else if (finalSds < -1.0) finalCentile = 16; else if (finalSds < -0.5) finalCentile = 31; else if (finalSds < 0.5) finalCentile = 50; else if (finalSds < 1.0) finalCentile = 69; else if (finalSds < 1.5) finalCentile = 84; else if (finalSds < 2.5) finalCentile = 92; else finalCentile = 97.5; estimatedGestationalAge = initialEGA; } document.getElementById("estimatedGestationalAge").textContent = estimatedGestationalAge + " weeks"; document.getElementById("birthWeightCentile").textContent = finalCentile.toFixed(1) + "%"; document.getElementById("sdsScore").textContent = finalSds.toFixed(2); document.getElementById("adjustedBirthWeight").textContent = finalAdjustedWeight.toFixed(0) + " g"; document.getElementById("results").style.display = 'block'; updateChart(birthWeight, sexFactor, estimatedGestationalAge); } function resetCalculator() { document.getElementById("birthWeight").value = ""; document.getElementById("sex").value = "1.05"; // Default to Male document.getElementById("gestationalAgeEstimate").value = ""; document.getElementById("results").style.display = 'none'; document.getElementById("birthWeightError").style.display = 'none'; document.getElementById("sexError").style.display = 'none'; document.getElementById("gestationalAgeEstimateError").style.display = 'none'; if (chart) { chart.destroy(); // Destroy previous chart instance chart = null; // Clear the reference } // Re-initialize chart after reset if needed, or just clear canvas var canvas = document.getElementById("birthWeightChart"); var ctx = canvas.getContext("2d"); ctx.clearRect(0, 0, canvas.width, canvas.height); } function copyResults() { var estimatedGA = document.getElementById("estimatedGestationalAge").textContent; var centile = document.getElementById("birthWeightCentile").textContent; var sds = document.getElementById("sdsScore").textContent; var adjustedWeight = document.getElementById("adjustedBirthWeight").textContent; var copyText = "Birth Weight Gestational Age Calculation:\n" + "Estimated Gestational Age: " + estimatedGA + "\n" + "Birth Weight Centile: " + centile + "\n" + "Standard Deviation Score (SDS): " + sds + "\n" + "Adjusted Birth Weight (for estimated GA): " + adjustedWeight + "\n\n" + "Key Assumptions:\n" + "Used sex-specific growth data and standard statistical models."; var textArea = document.createElement("textarea"); textArea.value = copyText; document.body.appendChild(textArea); textArea.select(); try { document.execCommand("copy"); var feedback = document.getElementById("copyFeedback"); feedback.classList.add("show"); setTimeout(function() { feedback.classList.remove("show"); }, 2000); } catch (err) { console.error("Failed to copy: ", err); } document.body.removeChild(textArea); } function populateChartTable() { var tableBody = document.getElementById("chartDataTable"); tableBody.innerHTML = ""; // Clear existing rows for (var i = 0; i d.week); var maleMedians = birthWeightData.map(d => d.male_median); var maleSDMinus = birthWeightData.map((d, i) => d.male_median – d.male_sd); var maleSDPlus = birthWeightData.map((d, i) => d.male_median + d.male_sd); var femaleMedians = birthWeightData.map(d => d.female_median); var femaleSDMinus = birthWeightData.map((d, i) => d.female_median – d.female_sd); var femaleSDPlus = birthWeightData.map((d, i) => d.female_median + d.female_sd); // Determine which median and SD lines to display based on input sex var medianData = inputSexFactor === 1.05 ? maleMedians : femaleMedians; var sdMinusData = inputSexFactor === 1.05 ? maleSDMinus : femaleSDMinus; var sdPlusData = inputSexFactor === 1.05 ? maleSDPlus : femaleSDPlus; // Add the input data point var inputPointWeek = inputEstimatedGA; // Use the *calculated* GA for plotting weight var inputPointWeight = inputWeight; chart = new Chart(ctx, { type: 'line', data: { labels: weeks, datasets: [ { label: 'Median Birth Weight', data: medianData, borderColor: 'rgba(0, 74, 153, 1)', // Primary color borderWidth: 2, fill: false, tension: 0.1 }, { label: '+/- 1 SD (Lower)', data: sdMinusData, borderColor: 'rgba(40, 167, 69, 0.6)', // Success color lighter borderWidth: 1, fill: false, tension: 0.1, borderDash: [5, 5] }, { label: '+/- 1 SD (Upper)', data: sdPlusData, borderColor: 'rgba(40, 167, 69, 0.6)', // Success color lighter borderWidth: 1, fill: false, tension: 0.1, borderDash: [5, 5] }, { label: 'Your Baby\'s Weight', data: weeks.map(w => w === inputPointWeek ? inputPointWeight : null), // Plot only at the specific week borderColor: 'rgba(255, 99, 132, 1)', // Red for emphasis backgroundColor: 'rgba(255, 99, 132, 1)', pointRadius: 5, type: 'scatter', // Use scatter for individual points fill: false } ] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Gestational Age (Weeks)' }, min: 24, max: 42 }, y: { title: { display: true, text: 'Birth Weight (grams)' }, beginAtZero: false // Start Y axis appropriately } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || "; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y + 'g'; } return label; } } }, legend: { position: 'top', } } } }); } // Initialize FAQ toggle functionality function initFaq() { var faqQuestions = document.querySelectorAll('.faq-question'); faqQuestions.forEach(function(question) { question.addEventListener('click', function() { var answer = this.nextElementSibling; if (answer.style.display === 'block') { answer.style.display = 'none'; this.classList.remove('active'); } else { answer.style.display = 'block'; this.classList.add('active'); } }); }); } // Initial setup on page load document.addEventListener('DOMContentLoaded', function() { populateChartTable(); initFaq(); });

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