Estimate the market value of your property based on local data and home features.
Major Repairs Needed
Below Average
Average / Fair
Recently Updated
Luxury / Brand New
Estimated Property Value
How to Use This Home Valuation Calculator
This calculator provides a data-driven estimate of your home's current market value. Unlike generic tools, we look at several key metrics to provide a realistic figure for your neighborhood.
Living Area: The total finished square footage of your home is the primary driver of value.
Local Market Price: Enter the average price per square foot for recent sales in your specific zip code or street.
Room Count: Each bedroom and bathroom adds functional utility and market demand.
Property Condition: A home requiring a new roof will value differently than one with a designer kitchen remodel.
Valuation Examples
Example 1: Suburban Family Home
A 2,500 sq. ft. home in an area where homes sell for $200/sq. ft. with 4 bedrooms and 3 bathrooms in "Recently Updated" condition would be estimated at approximately $585,000.
Example 2: Starter Home
A 1,200 sq. ft. bungalow in an area with $150/sq. ft. pricing, 2 bedrooms, 1 bathroom, and "Average" condition would be estimated at approximately $195,000.
Critical Factors Impacting Your Estimate
While square footage is vital, "Comp" sales (comparable properties) are the gold standard for real estate appraisals. This tool simulates an appraisal by applying premiums for additional rooms and adjustments for the physical condition of the property. For a 100% accurate valuation, a physical walk-through by a licensed appraiser or real estate agent is recommended.
function calculateValuation() {
var sqft = document.getElementById("sqft").value;
var avgPrice = document.getElementById("avgPrice").value;
var beds = document.getElementById("bedrooms").value;
var baths = document.getElementById("bathrooms").value;
var lot = document.getElementById("lotSize").value;
var condition = document.getElementById("propertyCondition").value;
if (sqft == "" || avgPrice == "" || sqft <= 0 || avgPrice <= 0) {
alert("Please enter valid Square Footage and Average Price per Sq Ft.");
return;
}
// Base calculation
var baseVal = parseFloat(sqft) * parseFloat(avgPrice);
// Premium for bedrooms (approx $15,000 each)
var bedPremium = parseFloat(beds || 0) * 15000;
// Premium for bathrooms (approx $10,000 each)
var bathPremium = parseFloat(baths || 0) * 10000;
// Lot size bonus (approx $20,000 per acre)
var lotBonus = parseFloat(lot || 0) * 20000;
// Combine subtotal
var subTotal = baseVal + bedPremium + bathPremium + lotBonus;
// Apply condition multiplier
var multiplier = 1 + (parseFloat(condition) / 100);
var finalEstimate = subTotal * multiplier;
// Calculate a range (+/- 5%)
var lowRange = finalEstimate * 0.95;
var highRange = finalEstimate * 1.05;
// Formatting
var formatter = new Intl.NumberFormat('en-US', {
style: 'currency',
currency: 'USD',
maximumFractionDigits: 0
});
document.getElementById("totalValue").innerHTML = formatter.format(finalEstimate);
document.getElementById("valueRange").innerHTML = "Estimated Range: " + formatter.format(lowRange) + " – " + formatter.format(highRange);
document.getElementById("resultArea").style.display = "block";
// Smooth scroll to result
document.getElementById("resultArea").scrollIntoView({ behavior: 'smooth', block: 'nearest' });
}