Market Rent Calculator

Market Rent Calculator: Estimate Your Property's Rental Value :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ddd; –card-background: #fff; –shadow: 0 2px 5px rgba(0,0,0,0.1); } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–background-color); color: var(–text-color); line-height: 1.6; margin: 0; padding: 0; } .container { max-width: 1000px; margin: 20px auto; padding: 20px; background-color: var(–card-background); border-radius: 8px; box-shadow: var(–shadow); } header { text-align: center; margin-bottom: 30px; padding-bottom: 20px; border-bottom: 1px solid var(–border-color); } header h1 { color: var(–primary-color); margin-bottom: 10px; } .calculator-section { margin-bottom: 40px; padding: 30px; background-color: var(–card-background); border-radius: 8px; box-shadow: var(–shadow); } .calculator-section h2 { color: var(–primary-color); text-align: center; margin-bottom: 25px; 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Market Rent Calculator

Accurately estimate your property's optimal rental price.

Market Rent Estimator

Enter the total square footage of the rental unit.
Specify the number of bedrooms.
Specify the number of bathrooms (e.g., 2 or 2.5 for half-bath).
Rate the quality and quantity of amenities (pool, gym, parking, etc.) on a scale of 1 to 10.
Rate the desirability of the location (neighborhood, schools, transit) on a scale of 1 to 10.
Rate the overall condition and modernness of the property on a scale of 1 to 10.

Estimated Monthly Market Rent

$0
$0 Avg Rent/Sq Ft
$0 Bedroom Adj.
$0 Amenity Adj.
Formula: Base Rent/Sq Ft * Property Size * Bedroom Multiplier * Amenity Multiplier * Location Multiplier * Condition Multiplier

Rent vs. Property Size Trend

Estimated rent based on property size and other factors.

Rental Market Comparables (Example Data)

Property Type Size (Sq Ft) Beds Baths Est. Rent Rent/Sq Ft
Sample data for market rent comparison.

What is a Market Rent Calculator?

A market rent calculator is a valuable online tool designed to help property owners, landlords, and real estate investors estimate the optimal rental price for a property in a specific geographic area. It takes into account various property features and market conditions to suggest a competitive and profitable rental rate. The goal is to set a rent that attracts tenants quickly while maximizing the owner's return on investment. Understanding market rent is crucial for both new listings and lease renewals.

Who should use it?

  • Landlords looking to list a new rental property.
  • Property managers aiming to optimize rental income.
  • Real estate investors evaluating potential acquisitions.
  • Homeowners considering renting out a spare room or their primary residence.
  • Tenants researching fair rental prices in an area.

Common misconceptions about market rent include believing that rent is solely determined by the number of bedrooms, ignoring crucial factors like location desirability, property condition, and included amenities. Another misconception is that a higher initial asking price always leads to higher overall profit; often, a slightly lower, competitive price can reduce vacancy periods, leading to greater annual returns.

Market Rent Calculator Formula and Mathematical Explanation

The core of a market rent calculator relies on a formula that synthesizes multiple property and market variables. While specific implementations can vary, a common approach involves establishing a baseline rental rate per square foot and then applying multipliers or adjustments based on key features.

Step-by-step derivation:

  1. Establish Base Rent per Square Foot: This is often derived from recent comparable rental data in the specific area or a general market average. It represents the typical cost for one square foot of living space.
  2. Calculate Base Rent: Multiply the Base Rent per Square Foot by the total Property Size (Sq Ft).
  3. Apply Bedroom Multiplier: Adjust the Base Rent based on the number of bedrooms. More bedrooms generally command higher rent, but the increase might not be linear. A multiplier is used to reflect this.
  4. Apply Bathroom Multiplier: Similar to bedrooms, bathrooms influence rent. A multiplier adjusts the rent based on the number and type (full/half) of bathrooms.
  5. Apply Amenities Score Multiplier: Properties with desirable amenities (pool, gym, parking, in-unit laundry) can command higher rents. This score translates into a multiplier.
  6. Apply Location Factor Multiplier: Highly sought-after locations with good schools, low crime rates, and convenient access to transportation and amenities will have higher multipliers.
  7. Apply Property Condition Multiplier: A newly renovated or modern property will have a higher multiplier than an older one needing repairs.
  8. Final Estimated Market Rent: The product of the Base Rent and all applicable multipliers gives the estimated monthly market rent.

Variables Explanation:

Variable Meaning Unit Typical Range
Property Size Total usable floor area of the rental unit. Square Feet (Sq Ft) 200 – 5000+
Number of Bedrooms Count of dedicated sleeping rooms. Count 0 – 6+
Number of Bathrooms Count of full or half bathrooms. Decimal Count (e.g., 1, 1.5, 2, 2.5) 1 – 4+
Amenities Score Rating of property amenities (pool, gym, parking, etc.). Score (1-10) 1 – 10
Location Factor Rating of neighborhood desirability and convenience. Score (1-10) 1 – 10
Property Condition Rating of the property's upkeep and modernity. Score (1-10) 1 – 10
Base Rent/Sq Ft Average rental cost per square foot in the area. Currency ($) Varies widely by location
Bedroom Multiplier Factor adjusting rent based on bedroom count. Decimal ~0.8 – 1.5+
Bathroom Multiplier Factor adjusting rent based on bathroom count. Decimal ~0.9 – 1.2+
Amenities Multiplier Factor adjusting rent based on amenities score. Decimal ~0.9 – 1.3+
Location Multiplier Factor adjusting rent based on location score. Decimal ~0.9 – 1.5+
Condition Multiplier Factor adjusting rent based on property condition score. Decimal ~0.9 – 1.3+

The multipliers are often derived from statistical analysis of rental markets or set by experienced property managers. The market rent calculator simplifies this by using input scores (1-10) to dynamically adjust these multipliers.

Practical Examples (Real-World Use Cases)

Let's explore how the market rent calculator can be used in practice.

Example 1: Suburban Family Home

A landlord has a 3-bedroom, 2-bathroom house in a good suburban neighborhood. It's well-maintained but not recently renovated. It has a decent yard and a two-car garage.

  • Property Size: 1800 Sq Ft
  • Number of Bedrooms: 3
  • Number of Bathrooms: 2
  • Amenities Score: 7 (Good yard, garage)
  • Location Factor: 8 (Good schools, safe neighborhood)
  • Property Condition: 8 (Well-maintained, but not new)

Using a baseline of $1.50/sq ft, the calculator might produce:

  • Base Rent: 1800 sq ft * $1.50/sq ft = $2700
  • Bedroom Adjustment: Multiplier for 3 beds might be 1.10 -> $2700 * 1.10 = $2970
  • Bathroom Adjustment: Multiplier for 2 baths might be 1.05 -> $2970 * 1.05 = $3118.50
  • Amenities Adjustment: Score 7 -> Multiplier 1.15 -> $3118.50 * 1.15 = $3586.28
  • Location Adjustment: Score 8 -> Multiplier 1.25 -> $3586.28 * 1.25 = $4482.85
  • Condition Adjustment: Score 8 -> Multiplier 1.10 -> $4482.85 * 1.10 = $4931.14

Interpretation: The calculator suggests a market rent of approximately $4931. This is a high-end estimate, reflecting the strong location and decent amenities. The landlord might list it at $4800-$4950 to attract tenants quickly while still capturing significant value. This calculation helps justify the price based on quantifiable factors, moving beyond simple guesswork.

Example 2: Downtown Studio Apartment

An investor owns a modern studio apartment in a bustling downtown area, close to public transport and entertainment. It features high-end finishes and access to a shared gym.

  • Property Size: 550 Sq Ft
  • Number of Bedrooms: 0
  • Number of Bathrooms: 1
  • Amenities Score: 9 (Modern finishes, gym access, prime location)
  • Location Factor: 9 (Downtown, transit hub, entertainment)
  • Property Condition: 9 (New construction, high-end)

With a baseline of $2.50/sq ft (typical for downtown cores):

  • Base Rent: 550 sq ft * $2.50/sq ft = $1375
  • Bedroom Adjustment: Multiplier for 0 beds might be 0.85 -> $1375 * 0.85 = $1168.75
  • Bathroom Adjustment: Multiplier for 1 bath might be 1.00 -> $1168.75 * 1.00 = $1168.75
  • Amenities Adjustment: Score 9 -> Multiplier 1.30 -> $1168.75 * 1.30 = $1519.38
  • Location Adjustment: Score 9 -> Multiplier 1.40 -> $1519.38 * 1.40 = $2127.13
  • Condition Adjustment: Score 9 -> Multiplier 1.25 -> $2127.13 * 1.25 = $2658.91

Interpretation: The estimated market rent is around $2659. This reflects the high cost per square foot in a prime urban location, offset slightly by the studio format. The landlord can confidently list this unit at $2600-$2700, knowing it aligns with the market value for similar downtown properties. This tool aids in setting competitive pricing for urban rentals.

How to Use This Market Rent Calculator

Using our market rent calculator is straightforward. Follow these steps to get an accurate rental estimate:

  1. Input Property Details: Enter the precise square footage, number of bedrooms, and bathrooms for your rental property.
  2. Rate Key Factors: Honestly assess and input scores (1-10) for the Amenities, Location, and Property Condition. Be objective – consider what a tenant would value.
  3. Calculate: Click the "Calculate Rent" button.
  4. Review Results: The calculator will display the estimated monthly market rent prominently. It also shows intermediate values like average rent per square foot and adjustments made for specific features.
  5. Interpret the Data: The main result is your target rental price. The intermediate values help you understand how each factor contributes to the final estimate. Use this to justify your pricing strategy.
  6. Decision Making: Compare the calculated rent to current listings in your area. If the estimate is significantly higher or lower, re-evaluate your input scores or consider if your baseline assumptions need adjustment. This tool provides a data-driven starting point for setting your rental price.
  7. Reset or Copy: Use the "Reset" button to clear fields and start over. The "Copy Results" button allows you to save the key figures for your records or share them.

Remember, this calculator provides an estimate. Local market dynamics, specific property unique selling points, and current demand can influence the final achievable rent. Always conduct thorough local market research alongside using this tool.

Key Factors That Affect Market Rent Results

Several critical factors influence the output of a market rent calculator and the actual rent achievable. Understanding these helps in providing accurate inputs and interpreting the results:

  1. Location, Location, Location: This remains paramount. Neighborhood desirability, proximity to employment centers, quality of schools, access to public transport, and local amenities (parks, shopping, dining) significantly impact rent. A prime location can command much higher rents than a less desirable one, even for identical properties. The 'Location Factor' in the calculator attempts to quantify this.
  2. Property Size and Layout: Larger properties generally command higher rents, but the rent per square foot often decreases as size increases. The layout (e.g., open-plan vs. traditional, efficient use of space) also plays a role. The calculator uses 'Property Size' directly and 'Bedrooms/Bathrooms' to refine this.
  3. Number of Bedrooms and Bathrooms: More bedrooms and bathrooms typically increase rental value, especially for family-oriented markets. However, the relationship isn't always linear; a 4-bedroom might not be 33% more expensive than a 3-bedroom. The calculator uses multipliers to account for this.
  4. Property Condition and Age: A newly renovated or modern property with updated appliances, fixtures, and finishes will attract higher rent than an older property in need of repair. The 'Property Condition' score reflects this. Factors like recent upgrades (new roof, HVAC) also add value.
  5. Amenities: In-unit amenities like in-unit laundry, air conditioning, and modern kitchens are highly valued. Building amenities such as a gym, pool, concierge service, secure parking, and pet-friendliness can significantly boost rental appeal and price. The 'Amenities Score' captures this.
  6. Market Demand and Supply: The fundamental economic principle of supply and demand heavily influences rent. High demand and low supply in an area drive rents up, while the opposite scenario can lead to lower rents or longer vacancy periods. While the calculator uses property-specific factors, understanding the broader market context is essential.
  7. Lease Terms and Duration: Shorter leases might command slightly higher monthly rates due to flexibility, while longer leases (e.g., 18-24 months) might offer a slight discount. The calculator typically assumes a standard 12-month lease.
  8. Economic Factors: Broader economic conditions, such as local job growth, interest rates (affecting mortgage affordability for potential buyers, thus influencing rental demand), and inflation, indirectly impact achievable market rents over time.

Frequently Asked Questions (FAQ)

Q1: How accurate is a market rent calculator?

A: Market rent calculators provide a strong estimate based on quantifiable data and common market trends. However, they are not infallible. Actual achievable rent can be influenced by unique property features not captured by the inputs, specific tenant demand at the time of listing, and the landlord's negotiation skills. Always supplement calculator results with local comparable market analysis (CMA).

Q2: What is considered a "good" location factor score?

A: A "good" location factor score is relative to the specific market. Generally, scores of 7-10 indicate a highly desirable area with strong demand drivers like good schools, low crime, and convenient access to amenities and transportation. Scores below 5 might suggest a location with challenges that could suppress rental demand and price.

Q3: How do I determine the "Base Rent/Sq Ft"?

A: The best way is to research recent rental listings for similar properties in your immediate area. Look at the price per square foot for properties with comparable features (size, beds, baths, condition). Online real estate portals and local property management companies are good resources. The calculator uses a default, but you can adjust this assumption mentally or if the tool allows.

Q4: Can I use this calculator for commercial properties?

A: No, this specific calculator is designed for residential rental properties (apartments, houses, condos). Commercial property valuation involves different metrics and factors (e.g., zoning, foot traffic, lease types like NNN).

Q5: What if my property has unique features not covered by the scores?

A: Use your best judgment when assigning scores. If your property has a rare feature (e.g., a stunning city view, a private rooftop deck), lean towards a higher score for amenities or location. Conversely, if it has a drawback (e.g., noisy street, basement unit), adjust accordingly. You may need to slightly adjust the final price based on these unique aspects.

Q6: How often should I update my market rent estimate?

A: It's advisable to re-evaluate your market rent estimate at least annually, or whenever significant market changes occur (e.g., new major employer moves in/out, large development project completed, economic downturn). For lease renewals, compare the current rent against the updated market estimate.

Q7: Does the calculator account for property taxes or insurance?

A: No, this calculator focuses solely on estimating the gross market rent. Property taxes, insurance, maintenance, and other operating expenses are separate costs that landlords must factor into their overall profitability analysis, often using a separate rental income analysis or cash flow calculator.

Q8: What's the difference between market rent and asking rent?

A: Market rent is the estimated price a property would fetch in the current competitive rental market. Asking rent is the price the landlord initially lists the property for. Ideally, asking rent should be close to the estimated market rent to attract tenants quickly and avoid prolonged vacancies.

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var baseRentPerSqFt = 1.50; // Default baseline rent per square foot var bedroomMultipliers = {0: 0.85, 1: 0.95, 2: 1.05, 3: 1.15, 4: 1.25, 5: 1.35, 6: 1.45}; var bathroomMultipliers = {0.5: 0.95, 1: 1.00, 1.5: 1.08, 2: 1.15, 2.5: 1.22, 3: 1.28, 3.5: 1.33, 4: 1.38}; var amenityMultiplierBase = 0.8; var amenityMultiplierRange = 0.6; // 0.8 + 0.6 = 1.4 (max multiplier for score 10) var locationMultiplierBase = 0.8; var locationMultiplierRange = 0.7; // 0.8 + 0.7 = 1.5 (max multiplier for score 10) var conditionMultiplierBase = 0.8; var conditionMultiplierRange = 0.5; // 0.8 + 0.5 = 1.3 (max multiplier for score 10) function getMultiplier(score, base, range) { if (score 10) return 1.0; // Default if score is out of range return base + (range * (score – 1) / 9); } function calculateMarketRent() { // Clear previous errors document.getElementById('propertySizeError').textContent = "; document.getElementById('bedroomsError').textContent = "; document.getElementById('bathroomsError').textContent = "; document.getElementById('amenitiesScoreError').textContent = "; document.getElementById('locationFactorError').textContent = "; document.getElementById('conditionFactorError').textContent = "; // Get input values var propertySize = parseFloat(document.getElementById('propertySize').value); var bedrooms = parseInt(document.getElementById('bedrooms').value); var bathroomsInput = document.getElementById('bathrooms').value; var bathrooms = parseFloat(bathroomsInput); var amenitiesScore = parseFloat(document.getElementById('amenitiesScore').value); var locationFactor = parseFloat(document.getElementById('locationFactor').value); var conditionFactor = parseFloat(document.getElementById('conditionFactor').value); var errors = false; // Validate inputs if (isNaN(propertySize) || propertySize <= 0) { document.getElementById('propertySizeError').textContent = 'Please enter a valid property size (e.g., 1200).'; errors = true; } if (isNaN(bedrooms) || bedrooms < 0) { document.getElementById('bedroomsError').textContent = 'Please enter a valid number of bedrooms (e.g., 3).'; errors = true; } if (isNaN(bathrooms) || bathrooms <= 0) { document.getElementById('bathroomsError').textContent = 'Please enter a valid number of bathrooms (e.g., 2 or 2.5).'; errors = true; } else { // Handle fractional bathrooms for multiplier lookup var bathroomKey = bathrooms; if (!bathroomMultipliers.hasOwnProperty(bathroomKey)) { // Try to find nearest valid key if input is like 2.0 if (Number.isInteger(bathrooms)) { bathroomKey = bathrooms; } else { // For inputs like 2.5, ensure it matches keys exactly. If not, maybe default or error. // For simplicity, we assume inputs like 2.5 are valid keys. // If input is 2.0, it should match key 2. if (bathrooms === Math.floor(bathrooms)) { bathroomKey = Math.floor(bathrooms); } } } if (!bathroomMultipliers.hasOwnProperty(bathroomKey)) { // Fallback for unusual inputs, maybe use integer part bathroomKey = Math.floor(bathrooms); if (!bathroomMultipliers.hasOwnProperty(bathroomKey)) { document.getElementById('bathroomsError').textContent = 'Invalid bathroom format. Use numbers like 1, 1.5, 2, 2.5.'; errors = true; } } } if (isNaN(amenitiesScore) || amenitiesScore 10) { document.getElementById('amenitiesScoreError').textContent = 'Please enter a score between 1 and 10.'; errors = true; } if (isNaN(locationFactor) || locationFactor 10) { document.getElementById('locationFactorError').textContent = 'Please enter a score between 1 and 10.'; errors = true; } if (isNaN(conditionFactor) || conditionFactor 10) { document.getElementById('conditionFactorError').textContent = 'Please enter a score between 1 and 10.'; errors = true; } if (errors) { document.getElementById('resultsSection').style.display = 'none'; return; } // Calculate intermediate values and multipliers var avgSqFtRent = baseRentPerSqFt; // Simplified for this example, could be dynamic var bedroomMult = bedroomMultipliers[bedrooms] || 1.0; // Default to 1.0 if bedrooms not in map var bathroomMult = bathroomMultipliers[bathroomKey] || 1.0; // Use the determined key var amenityMult = getMultiplier(amenitiesScore, amenityMultiplierBase, amenityMultiplierRange); var locationMult = getMultiplier(locationFactor, locationMultiplierBase, locationMultiplierRange); var conditionMult = getMultiplier(conditionFactor, conditionMultiplierBase, conditionMultiplierRange); var baseRent = avgSqFtRent * propertySize; var adjustedRent = baseRent * bedroomMult * bathroomMult * amenityMult * locationMult * conditionMult; var finalRent = Math.round(adjustedRent * 100) / 100; // Round to 2 decimal places // Calculate intermediate results display values var bedroomAdjValue = Math.round((baseRent * bedroomMult) * 100) / 100; var amenityAdjValue = Math.round((baseRent * bedroomMult * bathroomMult * amenityMult) * 100) / 100; var locationAdjValue = Math.round((baseRent * bedroomMult * bathroomMult * amenityMult * locationMult) * 100) / 100; // Showing location adjustment for clarity // Update results display document.getElementById('mainResult').textContent = '$' + finalRent.toFixed(2); document.getElementById('avgSqFtRent').querySelector('span').textContent = '$' + avgSqFtRent.toFixed(2); document.getElementById('bedroomRentAdjust').querySelector('span').textContent = '$' + (bedroomAdjValue – baseRent).toFixed(2); // Show the adjustment amount document.getElementById('amenityRentAdjust').querySelector('span').textContent = '$' + (amenityAdjValue – (baseRent * bedroomMult * bathroomMult)).toFixed(2); // Show adjustment from amenities onwards // Update formula explanation text (optional, can be static) document.querySelector('.results-container .formula-explanation').textContent = 'Formula: Base Rent/Sq Ft ($' + avgSqFtRent.toFixed(2) + ') * Property Size (' + propertySize + ' sq ft) * Bedroom Multiplier (' + bedroomMult.toFixed(2) + ') * Bathroom Multiplier (' + bathroomMult.toFixed(2) + ') * Amenity Multiplier (' + amenityMult.toFixed(2) + ') * Location Multiplier (' + locationMult.toFixed(2) + ') * Condition Multiplier (' + conditionMult.toFixed(2) + ')'; document.getElementById('resultsSection').style.display = 'block'; // Update Chart updateChart(propertySize, finalRent); // Update Table updateTable(propertySize, finalRent, avgSqFtRent); } function resetCalculator() { document.getElementById('propertySize').value = '1200'; document.getElementById('bedrooms').value = '3'; document.getElementById('bathrooms').value = '2'; document.getElementById('amenitiesScore').value = '7'; document.getElementById('locationFactor').value = '8'; document.getElementById('conditionFactor').value = '8'; // Clear errors document.getElementById('propertySizeError').textContent = "; document.getElementById('bedroomsError').textContent = "; document.getElementById('bathroomsError').textContent = "; document.getElementById('amenitiesScoreError').textContent = "; document.getElementById('locationFactorError').textContent = "; document.getElementById('conditionFactorError').textContent = "; document.getElementById('resultsSection').style.display = 'none'; // Optionally call calculateMarketRent() to show default results // calculateMarketRent(); } function copyResults() { var mainResult = document.getElementById('mainResult').textContent; var avgSqFtRent = document.querySelector('#avgSqFtRent span').textContent; var bedroomAdj = document.querySelector('#bedroomRentAdjust span').textContent; var amenityAdj = document.querySelector('#amenityRentAdjust span').textContent; var formula = document.querySelector('.results-container .formula-explanation').textContent; var propertySize = document.getElementById('propertySize').value; var bedrooms = document.getElementById('bedrooms').value; var bathrooms = document.getElementById('bathrooms').value; var amenitiesScore = document.getElementById('amenitiesScore').value; var locationFactor = document.getElementById('locationFactor').value; var conditionFactor = document.getElementById('conditionFactor').value; var textToCopy = "Market Rent Estimate:\n\n"; textToCopy += "Estimated Monthly Market Rent: " + mainResult + "\n"; textToCopy += "Average Rent per Sq Ft: " + avgSqFtRent + "\n"; textToCopy += "Bedroom Adjustment: " + bedroomAdj + "\n"; textToCopy += "Amenity/Location/Condition Adjustment: " + amenityAdj + " (Combined effect)\n\n"; // Simplified for copy textToCopy += "Assumptions:\n"; textToCopy += "- Property Size: " + propertySize + " sq ft\n"; textToCopy += "- Bedrooms: " + bedrooms + "\n"; textToCopy += "- Bathrooms: " + bathrooms + "\n"; textToCopy += "- Amenities Score: " + amenitiesScore + "/10\n"; textToCopy += "- Location Factor: " + locationFactor + "/10\n"; textToCopy += "- Property Condition: " + conditionFactor + "/10\n\n"; textToCopy += "Formula Used: " + formula; navigator.clipboard.writeText(textToCopy).then(function() { // Optional: Show a confirmation message var btn = event.target; btn.textContent = 'Copied!'; setTimeout(function() { btn.textContent = 'Copy Results'; }, 2000); }).catch(function(err) { console.error('Could not copy text: ', err); // Optional: Show an error message }); } // Charting Logic var rentChart; function updateChart(currentSize, currentRent) { var ctx = document.getElementById('rentChart').getContext('2d'); // Generate sample data points for the chart var chartDataPoints = []; var baseSize = parseFloat(document.getElementById('propertySize').value) || 1200; var baseRent = parseFloat(document.getElementById('mainResult').textContent.replace('$', ")) || 1500; var baseBedrooms = parseInt(document.getElementById('bedrooms').value) || 3; var baseBathrooms = parseFloat(document.getElementById('bathrooms').value) || 2; var baseAmenities = parseFloat(document.getElementById('amenitiesScore').value) || 7; var baseLocation = parseFloat(document.getElementById('locationFactor').value) || 8; var baseCondition = parseFloat(document.getElementById('conditionFactor').value) || 8; // Create a range of property sizes around the current input var minSize = Math.max(300, baseSize – 600); var maxSize = baseSize + 600; var step = (maxSize – minSize) / 10; for (var i = 0; i <= 10; i++) { var size = minSize + i * step; // Recalculate rent for this size, keeping other factors constant var tempRent = calculateRentForChart(size, baseBedrooms, baseBathrooms, baseAmenities, baseLocation, baseCondition); chartDataPoints.push({ size: size, rent: tempRent }); } // Add the current input as a distinct point chartDataPoints.push({ size: currentSize, rent: currentRent }); chartDataPoints.sort(function(a, b) { return a.size – b.size; }); // Sort by size // Remove duplicates if any (e.g., if currentSize falls on a generated point) var uniqueChartDataPoints = []; var seenSizes = {}; for (var i = 0; i < chartDataPoints.length; i++) { if (!seenSizes[chartDataPoints[i].size]) { uniqueChartDataPoints.push(chartDataPoints[i]); seenSizes[chartDataPoints[i].size] = true; } } var labels = uniqueChartDataPoints.map(function(point) { return point.size.toFixed(0) + ' sq ft'; }); var data = uniqueChartDataPoints.map(function(point) { return point.rent.toFixed(2); }); if (rentChart) { rentChart.destroy(); } rentChart = new Chart(ctx, { type: 'line', data: { labels: labels, datasets: [{ label: 'Estimated Market Rent ($)', data: data, borderColor: 'var(–primary-color)', backgroundColor: 'rgba(0, 74, 153, 0.1)', fill: true, tension: 0.3 // Makes the line slightly curved }] }, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, title: { display: true, text: 'Estimated Monthly Rent ($)' } }, x: { title: { display: true, text: 'Property Size (Sq Ft)' } } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } if (context.parsed.y !== null) { label += new Intl.NumberFormat('en-US', { style: 'currency', currency: 'USD' }).format(context.parsed.y); } return label; } } } } } }); } // Helper function to calculate rent for chart data points function calculateRentForChart(size, bedrooms, bathrooms, amenitiesScore, locationFactor, conditionFactor) { var avgSqFtRent = baseRentPerSqFt; var bedroomMult = bedroomMultipliers[bedrooms] || 1.0; var bathroomMult = bathroomMultipliers[bathrooms] || 1.0; var amenityMult = getMultiplier(amenitiesScore, amenityMultiplierBase, amenityMultiplierRange); var locationMult = getMultiplier(locationFactor, locationMultiplierBase, locationMultiplierRange); var conditionMult = getMultiplier(conditionFactor, conditionMultiplierBase, conditionMultiplierRange); var baseRent = avgSqFtRent * size; var adjustedRent = baseRent * bedroomMult * bathroomMult * amenityMult * locationMult * conditionMult; return Math.round(adjustedRent * 100) / 100; } // Table Population Logic function updateTable(currentSize, currentRent, avgSqFtRent) { var tableBody = document.getElementById('comparableTableBody'); tableBody.innerHTML = ''; // Clear existing rows // Example comparable data – could be dynamically generated or fetched var comparables = [ { type: 'Apartment', size: 850, beds: 1, baths: 1, rent: 1650.00 }, { type: 'House', size: 1500, beds: 3, baths: 2, rent: 2800.00 }, { type: 'Condo', size: 1100, beds: 2, baths: 2, rent: 2100.00 }, { type: 'Townhouse', size: 1350, beds: 2, baths: 2.5, rent: 2450.00 }, { type: 'Studio Apt', size: 500, beds: 0, baths: 1, rent: 1300.00 } ]; // Add the current calculated property as a comparable comparables.push({ type: 'Your Property', size: parseFloat(currentSize), beds: parseInt(document.getElementById('bedrooms').value), baths: parseFloat(document.getElementById('bathrooms').value), rent: parseFloat(currentRent) }); // Sort comparables by size for better readability comparables.sort(function(a, b) { return a.size – b.size; }); for (var i = 0; i 0 ? (comp.rent / comp.size) : 0; var row = tableBody.insertRow(); row.insertCell(0).textContent = comp.type; row.insertCell(1).textContent = comp.size.toLocaleString(); row.insertCell(2).textContent = comp.beds === 0 ? 'Studio' : comp.beds; row.insertCell(3).textContent = comp.baths; row.insertCell(4).textContent = '$' + comp.rent.toFixed(2); row.insertCell(5).textContent = '$' + rentPerSqFt.toFixed(2); } } // Initial calculation and chart rendering on page load document.addEventListener('DOMContentLoaded', function() { calculateMarketRent(); // Ensure chart canvas is available before trying to render var canvas = document.getElementById('rentChart'); if (canvas) { var ctx = canvas.getContext('2d'); // Initialize chart with placeholder data or call updateChart immediately updateChart(parseFloat(document.getElementById('propertySize').value) || 1200, parseFloat(document.getElementById('mainResult').textContent.replace('$', ")) || 1500); } updateTable(); // Populate table with initial data }); // Chart.js library needs to be included for the chart to work. // In a real WordPress environment, you'd enqueue this script properly. // For this single HTML file, we assume Chart.js is available globally or included via CDN. // Add this line if you are testing this HTML file standalone and don't have Chart.js included: // // Make sure to add the Chart.js CDN link in the if running this file directly.

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