How to Calculate How Much Mortgage You Can Afford | Mortgage Affordability Calculator
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How to Calculate How Much Mortgage You Can Afford
Understanding your mortgage affordability is the first step to homeownership. This calculator helps you estimate the maximum mortgage loan you can qualify for based on your income, debts, and estimated housing costs. Get a clear picture of your borrowing power and plan your budget effectively.
Mortgage Affordability Calculator
Your Estimated Mortgage Affordability
$0
Formula Used: We estimate your maximum affordable monthly housing payment (PITI: Principal, Interest, Taxes, Insurance, PMI) by subtracting your total monthly debt payments from a percentage of your gross monthly income (typically 28-36% for housing, and 36-43% for total debt). This maximum PITI is then used to calculate the maximum loan amount and subsequently the maximum home price you can afford.
Mortgage Affordability Breakdown
This chart visualizes the estimated monthly housing costs (PITI) based on your inputs.
What is Mortgage Affordability?
Mortgage affordability refers to the maximum amount of money a lender is willing to lend you for a home purchase, and more importantly, the amount you can comfortably afford to repay each month without financial strain. It's a critical metric that determines your home-buying budget and influences the type and location of the property you can consider. Understanding how to calculate how much mortgage you can afford is the cornerstone of responsible homeownership.
Who should use it: Anyone planning to buy a home, whether it's their first property or an upgrade. It's also useful for homeowners considering refinancing to understand potential new loan amounts.
Common misconceptions: A common misconception is that lenders will approve you for the absolute maximum loan amount they offer. However, this might stretch your finances too thin. Another is that affordability is solely based on income; debt, credit score, and down payment are equally crucial. Many also underestimate the ongoing costs beyond the mortgage principal and interest, such as property taxes and insurance.
Mortgage Affordability Formula and Mathematical Explanation
Calculating mortgage affordability involves several steps, primarily focusing on your debt-to-income (DTI) ratio and your capacity to cover the total monthly housing expense (PITI).
Step 1: Calculate Gross Monthly Income (GMI)
GMI = Annual Household Income / 12
Step 2: Determine Maximum Allowable Monthly Housing Payment (PITI)
Lenders typically use two DTI ratios:
- Front-end ratio (Housing Ratio): Usually capped at 28%-31% of GMI. This covers PITI.
- Back-end ratio (Total Debt Ratio): Usually capped at 36%-43% of GMI. This covers PITI plus all other monthly debt payments.
We'll use the more conservative back-end ratio to determine the maximum total debt, and then subtract existing debts to find the maximum PITI.
Max Total Monthly Debt = GMI * Max Back-end DTI Percentage (e.g., 0.43)
Max Monthly PITI = Max Total Monthly Debt – Total Monthly Debt Payments
Step 3: Calculate Maximum Loan Amount
This requires the mortgage payment formula (for P&I only), rearranged to solve for the loan amount (P).
M = P [ i(1 + i)^n ] / [ (1 + i)^n – 1]
Where:
- M = Monthly P&I Payment (Max Monthly PITI – Monthly Taxes – Monthly Insurance – Monthly PMI)
- P = Principal Loan Amount (what we want to find)
- i = Monthly Interest Rate (Annual Interest Rate / 12 / 100)
- n = Total Number of Payments (Loan Term in Years * 12)
Rearranging for P:
P = M * [ (1 + i)^n – 1] / [ i(1 + i)^n ]
Step 4: Calculate Maximum Home Price
Max Home Price = Maximum Loan Amount + Down Payment
Step 5: Calculate Estimated Debt-to-Income Ratio (DTI)
Estimated DTI = (Max Monthly PITI + Total Monthly Debt Payments) / GMI
Variables Table
Key Variables in Affordability Calculation
| Variable |
Meaning |
Unit |
Typical Range |
| Annual Household Income |
Total gross income earned by all borrowers annually. |
USD ($) |
$50,000 – $500,000+ |
| Total Monthly Debt Payments |
Sum of minimum monthly payments for credit cards, loans, etc. |
USD ($) |
$0 – $5,000+ |
| Down Payment Amount |
Cash paid upfront for the home. |
USD ($) |
$0 – 100%+ of home price |
| Estimated Annual Interest Rate |
The annual interest rate for the mortgage. |
Percent (%) |
3% – 10%+ |
| Mortgage Loan Term |
Duration of the loan. |
Years |
15, 20, 25, 30 |
| Estimated Annual Property Tax Rate |
Annual property tax as a percentage of home value. |
Percent (%) |
0.5% – 2.5%+ |
| Estimated Annual Homeowners Insurance Rate |
Annual insurance cost as a percentage of home value. |
Percent (%) |
0.3% – 1.0%+ |
| Estimated Annual PMI Rate |
Private Mortgage Insurance cost. |
Percent (%) |
0.5% – 1.5% (if applicable) |
| Gross Monthly Income (GMI) |
Monthly income before taxes. |
USD ($) |
Calculated |
| Max Monthly PITI |
Maximum affordable total monthly housing payment. |
USD ($) |
Calculated |
| Max Loan Amount |
Maximum principal loan you can afford. |
USD ($) |
Calculated |
| Max Home Price |
Maximum affordable purchase price. |
USD ($) |
Calculated |
| Estimated DTI |
Debt-to-Income Ratio. |
Percent (%) |
Calculated |
Practical Examples (Real-World Use Cases)
Let's explore how different scenarios impact mortgage affordability.
Example 1: Young Professional Couple
Scenario: Alex and Ben are a young couple looking to buy their first home. They have stable jobs and want to understand their budget.
Inputs:
- Annual Household Income: $120,000
- Total Monthly Debt Payments: $400 (student loan)
- Down Payment Amount: $30,000
- Estimated Annual Interest Rate: 7.0%
- Mortgage Loan Term: 30 Years
- Estimated Annual Property Tax Rate: 1.1%
- Estimated Annual Homeowners Insurance Rate: 0.4%
- Estimated Annual PMI Rate: 0.8% (since down payment is less than 20%)
Calculator Output (Illustrative):
- Max Mortgage Result: $345,000
- Max Home Price: $375,000
- Max Monthly PITI: $2,300
- Estimated DTI: 38%
Financial Interpretation: Alex and Ben can afford a home priced around $375,000, with a mortgage of approximately $345,000. Their estimated total monthly housing payment (PITI) would be around $2,300, bringing their total debt obligations to about 38% of their gross monthly income. This DTI is within typical lender limits, suggesting this affordability level is feasible.
Example 2: Established Family Upgrading
Scenario: Sarah and Mark are looking to upgrade to a larger home. They have higher income but also more existing debt.
Inputs:
- Annual Household Income: $200,000
- Total Monthly Debt Payments: $1,200 (car loan, credit cards)
- Down Payment Amount: $100,000
- Estimated Annual Interest Rate: 6.8%
- Mortgage Loan Term: 30 Years
- Estimated Annual Property Tax Rate: 1.3%
- Estimated Annual Homeowners Insurance Rate: 0.5%
- Estimated Annual PMI Rate: 0% (down payment is 20% of estimated home price)
Calculator Output (Illustrative):
- Max Mortgage Result: $580,000
- Max Home Price: $680,000
- Max Monthly PITI: $3,950
- Estimated DTI: 39%
Financial Interpretation: With a higher income and substantial down payment, Sarah and Mark can afford a significantly more expensive home, around $680,000. Their maximum monthly PITI is higher at $3,950. Although their income is higher, their existing debts and the higher housing cost push their estimated DTI close to the typical 43% limit, indicating they are at the upper end of their affordability.
How to Use This Mortgage Affordability Calculator
Using our calculator is straightforward and designed to give you a quick estimate of your home-buying power.
- Enter Annual Household Income: Input the combined gross annual income of all borrowers.
- Input Total Monthly Debt Payments: Sum up all your minimum monthly payments for loans (car, student, personal) and credit cards. Do not include current rent or mortgage payments.
- Specify Down Payment Amount: Enter the total cash you plan to use for the down payment.
- Estimate Interest Rate: Use a current mortgage rate estimate. Rates fluctuate, so check with lenders for the most accurate figures.
- Select Loan Term: Choose the desired duration for your mortgage (e.g., 15 or 30 years). Shorter terms mean higher monthly payments but less total interest paid.
- Estimate Property Tax Rate: Research typical property tax rates in your desired area. This is usually a percentage of the home's value.
- Estimate Homeowners Insurance Rate: Get quotes or estimate annual insurance costs as a percentage of the home's value.
- Estimate PMI Rate (if applicable): If your down payment is less than 20%, estimate the annual PMI cost. This is often around 0.5% to 1.5% of the loan amount.
- Click 'Calculate Affordability': The calculator will process your inputs.
How to Read Results:
- Max Mortgage Result: This is the estimated maximum loan principal you can likely afford.
- Max Home Price: This is the estimated maximum purchase price, calculated as Max Mortgage + Down Payment.
- Max Monthly PITI: The estimated maximum total monthly housing payment (Principal, Interest, Taxes, Insurance, PMI).
- Estimated DTI: Your projected Debt-to-Income ratio, a key factor lenders consider. Aim for a DTI below 43% for better approval chances.
Decision-Making Guidance: Use these results as a guideline. It's always wise to aim for a home price and monthly payment that comfortably fits your budget, leaving room for savings, unexpected expenses, and lifestyle choices. Consult with a mortgage lender for a pre-approval to get a precise understanding of your borrowing capacity.
Key Factors That Affect Mortgage Affordability
Several elements significantly influence how much mortgage you can afford. Understanding these helps in planning and potentially improving your borrowing power.
- Credit Score: A higher credit score generally leads to lower interest rates, increasing your purchasing power and reducing your monthly payments. Lenders see lower risk with higher scores.
- Interest Rates: Even a small change in the interest rate can drastically alter your monthly payment and the total interest paid over the life of the loan. Higher rates reduce affordability.
- Loan Term: A longer loan term (e.g., 30 years vs. 15 years) results in lower monthly payments, making a larger loan amount seem affordable. However, you'll pay significantly more interest over time.
- Down Payment Size: A larger down payment reduces the loan amount needed, lowers your loan-to-value (LTV) ratio, potentially eliminates PMI, and can lead to better loan terms. This directly increases the maximum home price you can afford.
- Existing Debts: High levels of credit card debt, car loans, or student loans increase your DTI ratio, which can significantly limit the mortgage amount you qualify for, even with a high income. Paying down debt is crucial.
- Income Stability and Amount: Lenders heavily rely on your income to assess repayment ability. Stable, verifiable income is essential. Higher income generally allows for larger loan amounts, assuming other factors are favorable.
- Property Taxes and Insurance Costs: These are mandatory components of your monthly housing payment (PITI). Higher property taxes or insurance premiums in a specific area will reduce the amount available for the principal and interest portion of your payment, thus lowering affordability.
- PMI Requirements: If you put down less than 20%, Private Mortgage Insurance (PMI) will be added to your monthly payment, reducing your overall affordability for the loan principal.
Frequently Asked Questions (FAQ)
Q1: What is the ideal Debt-to-Income (DTI) ratio for mortgage approval?
A: Lenders generally prefer a back-end DTI ratio (all monthly debt payments including PITI divided by gross monthly income) below 43%. Many aim for 36% or lower for better approval odds and more comfortable payments. The front-end ratio (PITI only) is often preferred below 28%-31%.
Q2: How much down payment do I need?
A: While 20% down payment is often cited to avoid PMI, many loan programs allow for much lower down payments, such as 3% (FHA loans) or 3.5% (FHA loans), or even 0% for VA and USDA loans. However, a lower down payment means a larger loan amount and potentially higher monthly payments and PMI.
Q3: Does my credit score really matter that much?
A: Yes, your credit score is crucial. A higher score (typically 740+) usually qualifies you for the best interest rates, significantly impacting your affordability and the total interest paid. Lower scores may limit your options or result in higher rates.
Q4: Can I include rental income in my affordability calculation?
A: Some lenders may consider documented, stable rental income, but it often requires a history of receiving it and specific loan program qualifications. It's not as straightforward as earned income and may be discounted.
Q5: What's the difference between pre-qualification and pre-approval?
A: Pre-qualification is a rough estimate based on information you provide. Pre-approval involves a lender verifying your financial information (income, assets, credit) and provides a much stronger indication of how much you can borrow.
Q6: How do closing costs affect affordability?
A: Closing costs are separate from the down payment and typically range from 2% to 5% of the loan amount. You need to have funds available for these costs in addition to your down payment. They don't directly affect your monthly payment calculation but are a significant upfront expense.
Q7: What if my desired home price is higher than the calculator suggests?
A: You might need to increase your income, reduce existing debts, save for a larger down payment, or look for homes in areas with lower property taxes or insurance costs. Alternatively, consider a longer loan term if feasible, but be aware of the increased total interest.
Q8: Does this calculator account for all potential mortgage fees?
A: This calculator estimates affordability based on common factors like PITI and DTI. It includes estimates for property taxes, homeowners insurance, and PMI. However, it doesn't include all potential lender fees (origination fees, appraisal fees, etc.) or potential HOA dues, which should be factored into your overall budget.
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var housingRatio = 0.31; // Conservative front-end DTI
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if (maxMonthlyPiti < 0) maxMonthlyPiti = 0;
// Calculate estimated monthly taxes, insurance, and PMI based on a hypothetical home price
// We need to iterate or make an assumption. Let's assume a max home price for calculation.
// A common approach is to iterate or use a simplified estimation.
// For simplicity here, let's estimate based on a potential loan amount derived from max PITI.
// This is an approximation, as taxes/insurance are % of home value, not loan amount.
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// This is iterative. A simpler approach: assume a max home price and calculate PITI.
// Let's try to solve for P iteratively or use a financial function.
// For this calculator, we'll use a simplified approach:
// Assume a max home price, calculate PITI, and see if it fits maxMonthlyPiti.
// A more direct approach: Calculate max P&I payment first.
// Max P&I = Max Monthly PITI – Estimated Monthly Taxes – Estimated Monthly Insurance – Estimated Monthly PMI
// Let's estimate taxes, insurance, PMI based on a hypothetical max home price derived from max loan.
// This requires an iterative approach or a financial library.
// For a simplified JS calculator, we can make an assumption or use a solver.
// A common simplification: Assume taxes/insurance/PMI are a fixed percentage of the *loan amount* for estimation purposes,
// or iterate to find the home price that results in PITI <= maxMonthlyPiti.
// Let's use an iterative approach to find the max home price.
var maxHomePrice = 0;
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var calculatedMaxMonthlyPiti = 0;
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// Iterate through potential home prices to find the one that fits
// Start with a reasonable guess and increase
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var totalMonthlyPiti = monthlyPI + monthlyTaxes + monthlyInsurance + monthlyPMI;
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maxHomePrice = currentHomePriceGuess;
bestLoanAmount = currentLoanAmount;
calculatedMaxMonthlyPiti = totalMonthlyPiti;
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getElement('loanTerm').value = "30";
getElement('propertyTaxRate').value = "1.2";
getElement('homeInsuranceRate').value = "0.5";
getElement('pmiRate').value = "0.5";
clearErrors();
calculateAffordability(); // Recalculate with defaults
}
function copyResults() {
var maxMortgage = getElement('maxMortgageResult').textContent;
var maxHomePrice = getElement('maxHomePrice').textContent;
var maxMonthlyPayment = getElement('maxMonthlyPayment').textContent;
var estimatedDti = getElement('debtToIncomeRatio').textContent;
var annualIncome = getElement('annualIncome').value;
var monthlyDebt = getElement('monthlyDebt').value;
var downPayment = getElement('downPayment').value;
var interestRate = getElement('interestRate').value;
var loanTerm = getElement('loanTerm').options[getElement('loanTerm').selectedIndex].text;
var propertyTaxRate = getElement('propertyTaxRate').value;
var homeInsuranceRate = getElement('homeInsuranceRate').value;
var pmiRate = getElement('pmiRate').value;
var assumptions = `Key Assumptions:\n` +
`Annual Income: ${formatCurrency(parseFloat(annualIncome))}\n` +
`Monthly Debt: ${formatCurrency(parseFloat(monthlyDebt))}\n` +
`Down Payment: ${formatCurrency(parseFloat(downPayment))}\n` +
`Interest Rate: ${interestRate}%\n` +
`Loan Term: ${loanTerm}\n` +
`Property Tax Rate: ${propertyTaxRate}%\n` +
`Home Insurance Rate: ${homeInsuranceRate}%\n` +
`PMI Rate: ${pmiRate}%`;
var resultsText = `Mortgage Affordability Results:\n` +
`${maxMortgage}\n` +
`${maxHomePrice}\n` +
`${maxMonthlyPayment}\n` +
`${estimatedDti}\n\n` +
`${assumptions}`;
// Use navigator.clipboard for modern browsers
if (navigator.clipboard && window.isSecureContext) {
navigator.clipboard.writeText(resultsText).then(function() {
alert('Results copied to clipboard!');
}).catch(function(err) {
console.error('Failed to copy: ', err);
fallbackCopyTextToClipboard(resultsText);
});
} else {
fallbackCopyTextToClipboard(resultsText);
}
}
function fallbackCopyTextToClipboard(text) {
var textArea = document.createElement("textarea");
textArea.value = text;
textArea.style.position="absolute";
textArea.style.left="-9999px";
document.body.prepend(textArea);
textArea.focus();
textArea.select();
try {
var successful = document.execCommand('copy');
var msg = successful ? 'successful' : 'unsuccessful';
alert('Results copied to clipboard! (' + msg + ')');
} catch (err) {
console.error('Fallback: Oops, unable to copy', err);
alert('Could not copy text. Please copy manually.');
}
document.body.removeChild(textArea);
}
function updateChart(maxLoan, maxPiti, monthlyDebt, grossMonthlyIncome) {
var ctx = getElement('affordabilityChart').getContext('2d');
// Destroy previous chart instance if it exists
if (chartInstance) {
chartInstance.destroy();
}
// Calculate components for chart
var monthlyInterestRate = parseFloat(getElement('interestRate').value) / 100 / 12;
var loanTerm = parseInt(getElement('loanTerm').value);
var numberOfPayments = loanTerm * 12;
var monthlyTaxes = (parseFloat(getElement('maxHomePrice').textContent.replace(/[^0-9.]/g, '')) * parseFloat(getElement('propertyTaxRate').value) / 100) / 12;
var monthlyInsurance = (parseFloat(getElement('maxHomePrice').textContent.replace(/[^0-9.]/g, '')) * parseFloat(getElement('homeInsuranceRate').value) / 100) / 12;
var monthlyPMI = 0;
if (maxLoan / parseFloat(getElement('maxHomePrice').textContent.replace(/[^0-9.]/g, '')) < 0.80) {
monthlyPMI = (maxLoan * parseFloat(getElement('pmiRate').value) / 100) / 12;
}
var monthlyPI = calculateMonthlyPI(maxLoan, monthlyInterestRate, numberOfPayments);
// Ensure values are not NaN and are reasonable
monthlyTaxes = isNaN(monthlyTaxes) || !isFinite(monthlyTaxes) ? 0 : monthlyTaxes;
monthlyInsurance = isNaN(monthlyInsurance) || !isFinite(monthlyInsurance) ? 0 : monthlyInsurance;
monthlyPMI = isNaN(monthlyPMI) || !isFinite(monthlyPMI) ? 0 : monthlyPMI;
monthlyPI = isNaN(monthlyPI) || !isFinite(monthlyPI) ? 0 : monthlyPI;
var totalPiti = monthlyPI + monthlyTaxes + monthlyInsurance + monthlyPMI;
// Calculate max affordable PITI based on DTI for comparison
var maxAffordablePitiFromDti = (grossMonthlyIncome * 0.43) – monthlyDebt;
maxAffordablePitiFromDti = isNaN(maxAffordablePitiFromDti) || !isFinite(maxAffordablePitiFromDti) ? 0 : maxAffordablePitiFromDti;
chartInstance = new Chart(ctx, {
type: 'bar',
data: {
labels: ['Principal & Interest', 'Property Taxes', 'Home Insurance', 'PMI', 'Total PITI', 'Max Affordable PITI (DTI Limit)'],
datasets: [{
label: 'Estimated Monthly Cost ($)',
data: [
monthlyPI,
monthlyTaxes,
monthlyInsurance,
monthlyPMI,
totalPiti,
maxAffordablePitiFromDti
],
backgroundColor: [
'rgba(0, 74, 153, 0.7)', // Primary Blue
'rgba(40, 167, 69, 0.7)', // Success Green
'rgba(255, 193, 7, 0.7)', // Warning Yellow
'rgba(220, 53, 69, 0.7)', // Danger Red
'rgba(108, 117, 125, 0.7)', // Secondary Gray
'rgba(0, 123, 255, 0.5)' // Lighter Blue for limit
],
borderColor: [
'rgba(0, 74, 153, 1)',
'rgba(40, 167, 69, 1)',
'rgba(255, 193, 7, 1)',
'rgba(220, 53, 69, 1)',
'rgba(108, 117, 125, 1)',
'rgba(0, 123, 255, 1)'
],
borderWidth: 1
}]
},
options: {
responsive: true,
maintainAspectRatio: false,
scales: {
y: {
beginAtZero: true,
ticks: {
callback: function(value) {
return '$' + value.toFixed(0).replace(/\B(?=(\d{3})+(?!\d))/g, ",");
}
}
}
},
plugins: {
legend: {
display: false // Hide legend as labels are on the axis
},
tooltip: {
callbacks: {
label: function(context) {
var label = context.dataset.label || '';
if (label) {
label += ': ';
}
if (context.parsed.y !== null) {
label += '$' + context.parsed.y.toFixed(0).replace(/\B(?=(\d{3})+(?!\d))/g, ",");
}
return label;
}
}
}
}
}
});
}
// Initial calculation on page load
window.onload = function() {
resetCalculator(); // Load with default values
// Add a listener for input changes to update chart dynamically if needed,
// but calculateAffordability already handles updates on button click.
// For real-time updates on input change, add event listeners to each input.
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() {
// Optionally trigger calculation on input change for live updates
// calculateAffordability();
});
}
};
// Simple Chart.js integration (assuming Chart.js is available globally)
// If Chart.js is not available, this part needs to be replaced with native canvas drawing or SVG.
// For this example, we'll assume Chart.js is included or provide a placeholder.
// NOTE: The prompt explicitly forbids external libraries.
// Therefore, Chart.js cannot be used. We need to implement using native canvas.
// — Native Canvas Implementation —
function drawChart(canvasId, data, labels, colors) {
var canvas = getElement(canvasId);
if (!canvas || !canvas.getContext) {
console.error("Canvas not supported or element not found.");
return;
}
var ctx = canvas.getContext('2d');
canvas.width = canvas.offsetWidth; // Set canvas width based on its display size
canvas.height = canvas.offsetHeight; // Set canvas height
ctx.clearRect(0, 0, canvas.width, canvas.height); // Clear previous drawing
var totalValue = data.reduce(function(sum, value) { return sum + value; }, 0);
if (totalValue === 0) return; // Don't draw if no data
var startAngle = -0.5 * Math.PI; // Start at the top
var centerX = canvas.width / 2;
var centerY = canvas.height / 2;
var radius = Math.min(centerX, centerY) * 0.8; // Adjust radius for chart size
var currentAngle = startAngle;
// Draw slices
for (var i = 0; i < data.length; i++) {
var sliceAngle = (data[i] / totalValue) * 2 * Math.PI;
ctx.beginPath();
ctx.moveTo(centerX, centerY);
ctx.arc(centerX, centerY, radius, currentAngle, currentAngle + sliceAngle);
ctx.closePath();
ctx.fillStyle = colors[i % colors.length];
ctx.fill();
currentAngle += sliceAngle;
}
// Draw legend
var legendX = canvas.width * 0.85; // Position legend to the right
var legendY = canvas.height * 0.1;
var legendSpacing = 20;
ctx.font = '14px Arial';
ctx.textAlign = 'left';
for (var i = 0; i
0 && (currentLoanAmount / maxHomePrice sum + val, 0);
chartData.push(totalPitiValue);
chartLabels.push('Total PITI');
chartColors.push('rgba(108, 117, 125, 0.7)'); // Secondary Gray
if (maxAffordablePitiFromDti > 0) {
chartData.push(maxAffordablePitiFromDti);
chartLabels.push('Max Affordable PITI (DTI Limit)');
chartColors.push('rgba(0, 123, 255, 0.5)'); // Lighter Blue for limit
}
// Draw the chart using native canvas
drawChart(canvasId, chartData, chartLabels, chartColors);
}