Baby Girl Weight Chart Calculator

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Baby Girl Weight Chart Calculator

Track your baby girl's growth against standard percentiles.

Baby Girl Weight Chart Calculator

Enter the baby's age in full months.
Enter the baby's current weight in kilograms.
WHO (0-2 years) CDC (2-20 years)
Select the appropriate growth chart standard.

Your Baby's Growth Metrics

Percentile:
Z-Score:
Growth Status:
How it works: This calculator uses standard growth charts (WHO or CDC) to determine where your baby girl's weight falls relative to other babies of the same age and sex. It calculates the percentile and Z-score based on complex statistical models derived from extensive population data.
Baby Girl Weight Data (Example: 6 Months, 7.5 kg)
Age (Months) Weight (kg) 50th Percentile (kg) 3rd Percentile (kg) 97th Percentile (kg)
Your Baby's Weight 50th Percentile 3rd & 97th Percentiles

What is a Baby Girl Weight Chart Calculator?

A baby girl weight chart calculator is a specialized online tool designed to help parents, caregivers, and healthcare professionals assess a baby girl's weight in relation to established growth standards. It takes into account the baby's age and current weight to determine her position on a standard growth chart, typically expressed as a percentile and a Z-score. This allows for a quick and easy way to monitor if her growth is within the expected range for her age.

Who should use it:

  • Parents and guardians concerned about their baby girl's feeding, development, or overall health.
  • Pediatricians and nurses for routine check-ups and growth monitoring.
  • Lactation consultants and nutritionists advising on infant feeding.
  • Anyone seeking to understand typical growth patterns for baby girls.

Common misconceptions:

  • "My baby is below the 50th percentile, so she's unhealthy." This is not true. The 50th percentile is simply the average. Babies are considered to be growing well if they are consistently tracking along any percentile line (e.g., 10th, 25th, 75th) without significant drops or jumps.
  • "All babies should be chubby." While some babies are naturally curvier, healthy weight gain is more important than a specific appearance. A baby can be lean and healthy, or heavier and healthy, depending on genetics and individual growth patterns.
  • "The calculator is a diagnosis." This tool is for informational purposes only. It does not replace professional medical advice. Always consult your pediatrician for any health concerns.

Baby Girl Weight Chart Calculator Formula and Mathematical Explanation

The core of the baby girl weight chart calculator relies on comparing the baby's measured weight and age against data from large-scale growth studies, primarily conducted by the World Health Organization (WHO) and the Centers for Disease Control and Prevention (CDC). These organizations provide reference data that defines weight-for-age percentiles and Z-scores for infants and children.

Understanding Percentiles

A percentile indicates the percentage of babies of the same age and sex whose weight is *at or below* a particular measurement. For example, if a baby girl is at the 75th percentile for weight at 6 months, it means she weighs more than 75% of 6-month-old girls and less than 25%.

Understanding Z-Scores

A Z-score is a statistical measure that indicates how many standard deviations a baby's weight is from the mean (average) weight for her age. It's a more precise measure, especially for clinical use.

  • A Z-score of 0 represents the mean (50th percentile).
  • A Z-score of +1 is approximately the 84th percentile.
  • A Z-score of -1 is approximately the 16th percentile.
  • A Z-score of +2 is approximately the 97.7th percentile.
  • A Z-score of -2 is approximately the 2.3rd percentile.

The WHO and CDC provide complex statistical models (often using LMS parameters: Lambda, Mu, Sigma) to calculate these values accurately across different ages. For simplicity in this calculator, we approximate these values using lookup tables and interpolation based on the selected chart type.

Variables and Typical Ranges

Here's a breakdown of the key variables involved:

Variable Meaning Unit Typical Range (Approximate)
Age Baby's age from birth. Months 0 – 24 (WHO), 24 – 240 (CDC)
Weight Baby's measured weight. Kilograms (kg) 0.5 – 25+ (depending on age)
Reference Weight (50th Percentile) The median weight for babies of the same age and sex. Kilograms (kg) Varies significantly with age
Reference Weight (3rd Percentile) The weight below which only 3% of babies fall. Kilograms (kg) Varies significantly with age
Reference Weight (97th Percentile) The weight above which only 3% of babies fall. Kilograms (kg) Varies significantly with age
Calculated Percentile The baby's weight position relative to peers. % 0 – 100
Calculated Z-Score Number of standard deviations from the mean. Standard Deviations Approx. -3 to +3

Practical Examples (Real-World Use Cases)

Let's look at how the baby girl weight chart calculator can be used in practice.

Example 1: Monitoring a 6-Month-Old Baby

Scenario: Sarah is checking her daughter, Emily's, weight at her 6-month pediatrician appointment. Emily was born at a healthy weight and has been gaining steadily. Today, she weighs 7.5 kg.

Inputs:

  • Baby's Age: 6 months
  • Baby's Weight: 7.5 kg
  • Chart Type: WHO (since she is under 2 years)

Calculator Output (Example):

  • Main Result: 7.5 kg
  • Percentile: 50th
  • Z-Score: 0.0
  • Growth Status: On Track

Interpretation: Emily's weight is right at the average for 6-month-old girls according to the WHO growth charts. This indicates healthy and expected growth.

Example 2: Assessing a 15-Month-Old Baby's Weight

Scenario: Mark is concerned because his daughter, Lily, seems smaller than other toddlers he sees. Lily is 15 months old and weighs 9.2 kg. He wants to see how she compares using the baby girl weight chart calculator.

Inputs:

  • Baby's Age: 15 months
  • Baby's Weight: 9.2 kg
  • Chart Type: WHO (since she is under 2 years)

Calculator Output (Example):

  • Main Result: 9.2 kg
  • Percentile: 25th
  • Z-Score: -0.67
  • Growth Status: On Track

Interpretation: Lily's weight is at the 25th percentile. This means she weighs more than 25% of 15-month-old girls and less than 75%. While she is on the leaner side of average, her growth is still considered within the normal, healthy range, especially if she has been consistently tracking around this percentile. Mark should discuss any concerns with his pediatrician, but the calculator suggests her growth pattern is acceptable.

How to Use This Baby Girl Weight Chart Calculator

Using this baby girl weight chart calculator is straightforward. Follow these steps to get a clear picture of your baby's growth:

  1. Enter Baby's Age: Input the baby girl's age in completed months. For example, if she is 6 months and 10 days old, enter '6'.
  2. Enter Baby's Weight: Input her current weight in kilograms (kg). Ensure you are using the correct unit.
  3. Select Chart Type: Choose the appropriate standard:
    • WHO: Recommended for infants and children from birth up to 2 years (24 months).
    • CDC: Recommended for children aged 2 years (24 months) up to 20 years.
  4. Click 'Calculate': Press the calculate button. The results will update instantly.

How to Read Results:

  • Main Result: Displays the weight you entered, confirming the input.
  • Percentile: Shows where your baby's weight ranks compared to other baby girls of the same age. A higher percentile means heavier weight relative to peers.
  • Z-Score: A statistical measure indicating how many standard deviations your baby's weight is from the average.
  • Growth Status: Provides a quick assessment (e.g., "On Track," "Consider Consulting Doctor") based on standard thresholds.
  • Table: The table provides reference weights for key percentiles (3rd, 50th, 97th) at the entered age, allowing for direct comparison.
  • Chart: Visualizes your baby's weight point against the reference percentiles, offering an intuitive understanding of her growth trajectory.

Decision-Making Guidance:

The results from this baby girl weight chart calculator should be used as a guide, not a definitive diagnosis. Consistent tracking along a percentile curve is generally a sign of healthy growth. Sudden drops or jumps across percentiles, or consistently falling below the 3rd percentile or above the 97th percentile, warrant a discussion with your pediatrician. They can consider other factors like length, head circumference, feeding habits, and overall development to provide a comprehensive assessment.

Key Factors That Affect Baby Girl Weight Results

While the baby girl weight chart calculator provides a standardized comparison, several factors influence a baby's weight gain and position on the growth chart:

  1. Genetics: Just like adults, babies have different genetic predispositions for body size and growth rate. Some families naturally have taller or heavier children, while others have leaner ones. This is a primary factor in determining where a baby falls on the percentile charts.
  2. Feeding and Nutrition: Adequate intake of breast milk or formula is crucial. For older babies, the quality and quantity of solid foods play a significant role. Issues with appetite, absorption, or specific dietary needs can impact weight gain.
  3. Prematurity: Babies born prematurely often have different growth trajectories. While corrected age is sometimes used, their initial growth may appear slower on standard charts until they "catch up."
  4. Health Conditions: Underlying medical issues, such as digestive problems (e.g., reflux, malabsorption), metabolic disorders, or chronic illnesses, can significantly affect a baby's ability to gain weight appropriately.
  5. Activity Level: As babies become more mobile (crawling, walking), they burn more calories. A highly active baby might gain weight at a different pace compared to a less active one, even with similar nutritional intake.
  6. Illness and Infections: Short-term illnesses, like colds or stomach bugs, can cause temporary weight loss or a slowdown in weight gain. Recovery usually leads to regaining lost weight.
  7. Water Retention/Dehydration: While less common as a primary factor for long-term growth, temporary fluctuations can occur. For instance, illness can lead to dehydration, affecting weight.
  8. Measurement Accuracy: Inaccurate weighing or measuring can lead to skewed results. It's important to use calibrated scales and measure at consistent times (e.g., before feeding).

Frequently Asked Questions (FAQ)

Q1: What is the ideal weight for a baby girl at a specific age?
A1: There isn't one "ideal" weight. Growth charts show a range of healthy weights. The 50th percentile is the average, but babies growing consistently along any percentile (e.g., 10th, 25th, 75th) are typically considered healthy. Focus on the trend rather than a single number.
Q2: My baby girl is in the 90th percentile. Should I be worried?
A2: Not necessarily. If she has consistently been around the 90th percentile and is otherwise healthy and meeting developmental milestones, it's likely her natural growth pattern. However, rapid jumps to higher percentiles or consistently exceeding the 97th percentile might warrant a discussion with your pediatrician.
Q3: My baby girl is in the 10th percentile. Is she underweight?
A3: Similar to the 90th percentile, being in the 10th percentile isn't automatically a cause for concern if it's her consistent growth curve and she's healthy. If she has dropped from a higher percentile or shows signs of poor feeding or developmental delays, consult your doctor.
Q4: Why are there different charts (WHO vs. CDC)?
A4: The WHO growth charts are based on breastfed infants and are considered the international standard for infants from birth to 2 years, reflecting optimal growth. The CDC charts are also widely used, particularly in the US, and are based on a mix of breastfed and formula-fed children, often used for older children up to 20 years.
Q5: How often should I use a baby weight calculator?
A5: It's best to use this calculator in conjunction with your pediatrician's regular check-ups. They have the most accurate measurements and can assess growth in context with other health indicators. Using it between appointments can provide peace of mind or highlight areas to discuss with your doctor.
Q6: Does this calculator account for length and head circumference?
A6: No, this specific calculator focuses solely on weight-for-age. A complete growth assessment by a healthcare professional includes length (or height) and head circumference, plotted on their respective charts alongside weight.
Q7: My baby was born premature. How does that affect the results?
A7: For premature babies, it's often recommended to use their "corrected age" for growth chart comparisons, especially in the first year or two. This calculator uses chronological age. Consult your pediatrician for guidance on using growth charts for premature infants.
Q8: What if my baby's weight fluctuates slightly?
A8: Minor fluctuations are normal. The key is the overall trend. If you're measuring at home, ensure consistency in the scale and time of day. If you notice significant or persistent fluctuations, discuss it with your doctor.

Related Tools and Internal Resources

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Disclaimer: This calculator is for informational purposes only and does not constitute medical advice. Always consult with a qualified healthcare provider for any health concerns or before making any decisions related to your child's health.

var WHO_WEIGHT_DATA = { 0: {p3: 2.5, p50: 3.5, p97: 4.5}, 1: {p3: 3.6, p50: 5.0, p97: 6.5}, 2: {p3: 4.5, p50: 6.0, p97: 7.8}, 3: {p3: 5.3, p50: 6.8, p97: 8.5}, 4: {p3: 5.9, p50: 7.3, p97: 9.0}, 5: {p3: 6.4, p50: 7.7, p97: 9.5}, 6: {p3: 6.7, p50: 8.0, p97: 9.8}, 7: {p3: 6.9, p50: 8.2, p97: 10.0}, 8: {p3: 7.1, p50: 8.4, p97: 10.2}, 9: {p3: 7.3, p50: 8.6, p97: 10.4}, 10: {p3: 7.5, p50: 8.8, p97: 10.6}, 11: {p3: 7.6, p50: 8.9, p97: 10.8}, 12: {p3: 7.8, p50: 9.0, p97: 11.0}, 13: {p3: 7.9, p50: 9.2, p97: 11.2}, 14: {p3: 8.0, p50: 9.3, p97: 11.4}, 15: {p3: 8.2, p50: 9.4, p97: 11.5}, 16: {p3: 8.3, p50: 9.5, p97: 11.7}, 17: {p3: 8.4, p50: 9.6, p97: 11.8}, 18: {p3: 8.5, p50: 9.7, p97: 12.0}, 19: {p3: 8.6, p50: 9.8, p97: 12.1}, 20: {p3: 8.7, p50: 9.9, p97: 12.2}, 21: {p3: 8.8, p50: 10.0, p97: 12.3}, 22: {p3: 8.9, p50: 10.1, p97: 12.4}, 23: {p3: 9.0, p50: 10.2, p97: 12.5}, 24: {p3: 9.1, p50: 10.3, p97: 12.6} }; var CDC_WEIGHT_DATA = { 24: {p3: 9.1, p50: 10.3, p97: 12.6}, // Starting point for CDC 30: {p3: 10.0, p50: 11.5, p97: 14.0}, 36: {p3: 10.8, p50: 12.3, p97: 15.2}, 42: {p3: 11.5, p50: 13.0, p97: 16.2}, 48: {p3: 12.1, p50: 13.6, p97: 17.0}, 54: {p3: 12.6, p50: 14.1, p97: 17.7}, 60: {p3: 13.1, p50: 14.6, p97: 18.3}, 66: {p3: 13.5, p50: 15.0, p97: 18.9}, 72: {p3: 13.9, p50: 15.4, p97: 19.4}, 78: {p3: 14.3, p50: 15.8, p97: 19.9}, 84: {p3: 14.6, p50: 16.1, p97: 20.3}, 90: {p3: 14.9, p50: 16.4, p97: 20.7}, 96: {p3: 15.2, p50: 16.7, p97: 21.1}, 102: {p3: 15.5, p50: 17.0, p97: 21.4}, 108: {p3: 15.7, p50: 17.2, p97: 21.7}, 114: {p3: 16.0, p50: 17.4, p97: 22.0}, 120: {p3: 16.2, p50: 17.6, p97: 22.3}, 126: {p3: 16.4, p50: 17.8, p97: 22.5}, 132: {p3: 16.6, p50: 18.0, p97: 22.8}, 138: {p3: 16.8, p50: 18.2, p97: 23.0}, 144: {p3: 17.0, p50: 18.3, p97: 23.2}, 150: {p3: 17.2, p50: 18.5, p97: 23.4}, 156: {p3: 17.3, p50: 18.6, p97: 23.6}, 162: {p3: 17.5, p50: 18.8, p97: 23.8}, 168: {p3: 17.6, p50: 18.9, p97: 23.9}, 174: {p3: 17.8, p50: 19.0, p97: 24.1}, 180: {p3: 17.9, p50: 19.1, p97: 24.2}, 186: {p3: 18.0, p50: 19.2, p97: 24.3}, 192: {p3: 18.1, p50: 19.3, p97: 24.4}, 198: {p3: 18.2, p50: 19.4, p97: 24.5}, 204: {p3: 18.3, p50: 19.5, p97: 24.6}, 210: {p3: 18.4, p50: 19.6, p97: 24.7}, 216: {p3: 18.5, p50: 19.7, p97: 24.8}, 222: {p3: 18.6, p50: 19.8, p97: 24.9}, 228: {p3: 18.7, p50: 19.9, p97: 25.0}, 234: {p3: 18.8, p50: 20.0, p97: 25.1}, 240: {p3: 18.9, p50: 20.1, p97: 25.2} }; function getGrowthData(ageMonths, chartType) { var data = (chartType === "WHO") ? WHO_WEIGHT_DATA : CDC_WEIGHT_DATA; var ages = Object.keys(data).map(Number).sort(function(a, b){ return a – b; }); if (ageMonths ages[ages.length – 1]) { return { p3: null, p50: null, p97: null }; // Age too old for this chart } // Find the closest age or interpolate var lowerAgeIndex = ages.findIndex(function(age) { return age = ages[0] var lowerAge = ages[lowerAgeIndex]; var upperAge = (lowerAgeIndex + 1 < ages.length) ? ages[lowerAgeIndex + 1] : lowerAge; if (lowerAge === upperAge) { return data[lowerAge]; } var lowerData = data[lowerAge]; var upperData = data[upperAge]; var weightFactor = (ageMonths – lowerAge) / (upperAge – lowerAge); var p3 = lowerData.p3 + (upperData.p3 – lowerData.p3) * weightFactor; var p50 = lowerData.p50 + (upperData.p50 – lowerData.p50) * weightFactor; var p97 = lowerData.p97 + (upperData.p97 – lowerData.p97) * weightFactor; return { p3: p3, p50: p50, p97: p97 }; } function calculatePercentile(weightKg, referenceData) { if (!referenceData || referenceData.p50 === null) return null; var p3 = referenceData.p3; var p50 = referenceData.p50; var p97 = referenceData.p97; if (weightKg < p3) { // Approximate percentile below 3rd return (weightKg / p3) * 3; } else if (weightKg < p50) { // Approximate percentile between 3rd and 50th return 3 + ((weightKg – p3) / (p50 – p3)) * 47; } else if (weightKg < p97) { // Approximate percentile between 50th and 97th return 50 + ((weightKg – p50) / (p97 – p50)) * 47; } else { // Approximate percentile above 97th return 97 + ((weightKg – p97) / (p97 – p50)) * 3; // Crude extrapolation } } function calculateZScore(weightKg, referenceData) { if (!referenceData || referenceData.p50 === null) return null; var p3 = referenceData.p3; var p50 = referenceData.p50; var p97 = referenceData.p97; // Estimate standard deviation from 3rd and 97th percentiles // Assuming roughly normal distribution, range from 3rd to 97th is about 4 standard deviations var stdDev = (p97 – p3) / 4; if (stdDev <= 0) return null; // Avoid division by zero or invalid std dev var zScore = (weightKg – p50) / stdDev; return zScore; } function getGrowthStatus(percentile, zScore) { if (percentile === null || zScore === null) return "N/A"; // Using Z-scores for status is more standard if (zScore < -2.0) return "Consider Consulting Doctor (Underweight)"; if (zScore < -1.0) return "On Track (Leaner Side)"; if (zScore <= 1.0) return "On Track"; if (zScore <= 2.0) return "On Track (Heavier Side)"; return "Consider Consulting Doctor (Heavier)"; } function updateTable(ageMonths, weightKg, referenceData) { var tableBody = document.getElementById("growthTableBody"); tableBody.innerHTML = ""; // Clear previous rows var row = tableBody.insertRow(); row.insertCell().textContent = ageMonths === null ? "–" : ageMonths; row.insertCell().textContent = weightKg === null ? "–" : weightKg.toFixed(2); row.insertCell().textContent = referenceData && referenceData.p50 !== null ? referenceData.p50.toFixed(2) : "–"; row.insertCell().textContent = referenceData && referenceData.p3 !== null ? referenceData.p3.toFixed(2) : "–"; row.insertCell().textContent = referenceData && referenceData.p97 !== null ? referenceData.p97.toFixed(2) : "–"; } function updateChart(ageMonths, weightKg, referenceData) { var ctx = document.getElementById('growthChart').getContext('2d'); var chart = new Chart(ctx, { type: 'line', data: { labels: [], // Will be populated dynamically datasets: [{ label: 'Your Baby\'s Weight (kg)', data: [], // Will be populated dynamically borderColor: 'var(–primary-color)', backgroundColor: 'rgba(0, 74, 153, 0.2)', fill: false, pointRadius: 5, pointHoverRadius: 7, tension: 0.1 }, { label: '50th Percentile (Median)', data: [], // Will be populated dynamically borderColor: '#6c757d', backgroundColor: 'rgba(108, 117, 125, 0.2)', fill: false, pointRadius: 0, borderDash: [5, 5], tension: 0.1 }, { label: '3rd Percentile', data: [], // Will be populated dynamically borderColor: '#ffc107', backgroundColor: 'rgba(255, 193, 7, 0.2)', fill: '-1', // Fill to the 50th percentile line pointRadius: 0, tension: 0.1 }, { label: '97th Percentile', data: [], // Will be populated dynamically borderColor: '#ffc107', backgroundColor: 'rgba(255, 193, 7, 0.2)', fill: '+1', // Fill to the 50th percentile line pointRadius: 0, tension: 0.1 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Age (Months)' } }, y: { title: { display: true, text: 'Weight (kg)' }, beginAtZero: true } }, plugins: { tooltip: { mode: 'index', intersect: false }, legend: { display: false // Custom legend used below canvas } }, hover: { mode: 'nearest', intersect: true } } }); var chartData = chart.data; chartData.labels = []; chartData.datasets[0].data = []; chartData.datasets[1].data = []; chartData.datasets[2].data = []; chartData.datasets[3].data = []; var chartType = document.getElementById('chartType').value; var dataRange = (chartType === "WHO") ? WHO_WEIGHT_DATA : CDC_WEIGHT_DATA; var ages = Object.keys(dataRange).map(Number).sort(function(a, b){ return a – b; }); var minAge = ages[0]; var maxAge = ages[ages.length – 1]; var step = Math.max(1, Math.floor((maxAge – minAge) / 10)); // Aim for ~10 points on the chart for (var age = minAge; age <= maxAge; age += step) { var currentAge = Math.min(age, maxAge); // Ensure we don't exceed maxAge var dataPoint = getGrowthData(currentAge, chartType); if (dataPoint && dataPoint.p50 !== null) { chartData.labels.push(currentAge); chartData.datasets[1].data.push(dataPoint.p50); // 50th percentile chartData.datasets[2].data.push(dataPoint.p3); // 3rd percentile chartData.datasets[3].data.push(dataPoint.p97); // 97th percentile } } // Add the user's data point if (ageMonths !== null && weightKg !== null) { chartData.labels.push(ageMonths); chartData.datasets[0].data.push(weightKg); // Add placeholder data for percentile lines at the user's age for correct positioning var userAgeData = getGrowthData(ageMonths, chartType); if (userAgeData && userAgeData.p50 !== null) { chartData.datasets[1].data.push(userAgeData.p50); chartData.datasets[2].data.push(userAgeData.p3); chartData.datasets[3].data.push(userAgeData.p97); } else { chartData.datasets[1].data.push(null); chartData.datasets[2].data.push(null); chartData.datasets[3].data.push(null); } } chart.update(); } function calculateWeight() { var ageMonthsInput = document.getElementById("ageMonths"); var weightKgInput = document.getElementById("weightKg"); var chartTypeSelect = document.getElementById("chartType"); var ageMonths = parseFloat(ageMonthsInput.value); var weightKg = parseFloat(weightKgInput.value); var chartType = chartTypeSelect.value; // Clear previous errors document.getElementById("ageMonthsError").style.display = "none"; document.getElementById("weightKgError").style.display = "none"; ageMonthsInput.classList.remove("error-input"); weightKgInput.classList.remove("error-input"); var isValid = true; if (isNaN(ageMonths) || ageMonths < 0) { document.getElementById("ageMonthsError").textContent = "Please enter a valid age in months (0 or greater)."; document.getElementById("ageMonthsError").style.display = "block"; ageMonthsInput.classList.add("error-input"); isValid = false; } if (isNaN(weightKg) || weightKg <= 0) { document.getElementById("weightKgError").textContent = "Please enter a valid weight in kg (greater than 0)."; document.getElementById("weightKgError").style.display = "block"; weightKgInput.classList.add("error-input"); isValid = false; } if (!isValid) { // Reset results if inputs are invalid document.getElementById("mainResult").textContent = "–"; document.getElementById("percentile").innerHTML = "Percentile: "; document.getElementById("zScore").innerHTML = "Z-Score: "; document.getElementById("growthStatus").innerHTML = "Growth Status: "; updateTable(null, null, null); updateChart(null, null, null); return; } var referenceData = getGrowthData(ageMonths, chartType); var percentile = calculatePercentile(weightKg, referenceData); var zScore = calculateZScore(weightKg, referenceData); var growthStatus = getGrowthStatus(percentile, zScore); document.getElementById("mainResult").textContent = weightKg.toFixed(2) + " kg"; document.getElementById("percentile").innerHTML = "Percentile: " + (percentile !== null ? percentile.toFixed(1) + "%" : "–") + ""; document.getElementById("zScore").innerHTML = "Z-Score: " + (zScore !== null ? zScore.toFixed(2) : "–") + ""; document.getElementById("growthStatus").innerHTML = "Growth Status: " + growthStatus + ""; updateTable(ageMonths, weightKg, referenceData); updateChart(ageMonths, weightKg, referenceData); } function resetCalculator() { document.getElementById("ageMonths").value = "6"; document.getElementById("weightKg").value = "7.5"; document.getElementById("chartType").value = "WHO"; // Clear errors document.getElementById("ageMonthsError").style.display = "none"; document.getElementById("weightKgError").style.display = "none"; document.getElementById("ageMonths").classList.remove("error-input"); document.getElementById("weightKg").classList.remove("error-input"); calculateWeight(); // Recalculate with default values } function copyResults() { var mainResult = document.getElementById("mainResult").textContent; var percentile = document.getElementById("percentile").textContent.replace("Percentile: ", ""); var zScore = document.getElementById("zScore").textContent.replace("Z-Score: ", ""); var growthStatus = document.getElementById("growthStatus").textContent.replace("Growth Status: ", ""); var ageInput = document.getElementById("ageMonths").value; var weightInput = document.getElementById("weightKg").value; var chartType = document.getElementById("chartType").options[document.getElementById("chartType").selectedIndex].text; var tableRows = document.querySelectorAll("#growthTableBody tr"); var tableData = []; if (tableRows.length > 0) { var cells = tableRows[0].cells; tableData.push(`Age (Months): ${cells[0].textContent}`); tableData.push(`Weight (kg): ${cells[1].textContent}`); tableData.push(`50th Percentile (kg): ${cells[2].textContent}`); tableData.push(`3rd Percentile (kg): ${cells[3].textContent}`); tableData.push(`97th Percentile (kg): ${cells[4].textContent}`); } var resultsText = `— Baby Girl Weight Chart Results —\n\n`; resultsText += `Inputs:\n`; resultsText += `- Age: ${ageInput} months\n`; resultsText += `- Weight: ${weightInput} kg\n`; resultsText += `- Chart Type: ${chartType}\n\n`; resultsText += `Calculated Metrics:\n`; resultsText += `- Weight: ${mainResult}\n`; resultsText += `- Percentile: ${percentile}\n`; resultsText += `- Z-Score: ${zScore}\n`; resultsText += `- Growth Status: ${growthStatus}\n\n`; resultsText += `Reference Data:\n`; resultsText += tableData.join('\n') + '\n'; resultsText += `\n(Data generated using a baby girl weight chart calculator)`; try { navigator.clipboard.writeText(resultsText).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Failed to copy results: ', err); alert('Failed to copy results. Please copy manually.'); }); } catch (e) { console.error('Clipboard API not available: ', e); alert('Clipboard API not available. Please copy results manually.'); } } // Initialize calculator on page load document.addEventListener('DOMContentLoaded', function() { resetCalculator(); // Load with default values }); // Chart.js library (required for the canvas chart) // In a real-world scenario, you'd include this via a CDN or local file. // For this self-contained HTML, we'll assume it's available globally. // If running this locally without Chart.js, the chart will not render. // You can add: to the // For this example, we'll simulate its presence. if (typeof Chart === 'undefined') { console.warn("Chart.js library not found. The chart will not render."); // Mock Chart object to prevent errors if Chart.js is missing window.Chart = function() { this.data = { labels: [], datasets: [] }; this.options = {}; this.update = function() { console.log("Mock Chart update called."); }; console.log("Mock Chart object created."); }; window.Chart.prototype.update = function() {}; // Ensure update method exists }

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