Cost of Living Calculator from City to City

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Cost of Living Calculator: City to City

Compare Your Cost of Living

Enter the name of your current city.
Enter the name of the city you are considering moving to.
Enter your current annual income in USD. Leave blank if not applicable.
New York (185.9) Los Angeles (140.2) National Average (100.0) San Francisco (116.6) Chicago (99.5) Boston (108.8) Seattle (96.1) Washington, D.C. (107.1) San Diego (105.9) Denver (91.5) Miami (113.0) Portland (94.4) Austin (83.8) Philadelphia (101.1) Dallas (99.3) Atlanta (94.4) Houston (96.9) Phoenix (90.6) Kansas City (78.5) Nashville (91.7) Raleigh (94.7) Honolulu (111.4) Manhattan (130.0) Brooklyn (120.0) San Jose (135.0) Orange County (110.0) Fort Worth (80.0) El Paso (85.0) Detroit (95.0) Minneapolis (115.0) Columbus (100.0) Charlotte (98.0) Tampa (105.0) Riverside (108.0) Sacramento (112.0) Tucson (75.0) New Orleans (90.0) Cincinnati (92.0) San Antonio (125.0) Pittsburgh (118.0) San Antonio (102.0) San Jose (130.0) This is the relative cost of housing in the *new* city compared to the national average (100). Use online resources for accurate figures.
New York (110) Los Angeles (105) National Average (100) San Francisco (115) Chicago (102) Boston (108) Seattle (103) Washington, D.C. (107) San Diego (106) Denver (104) Miami (109) Portland (101) Austin (98) Philadelphia (105) Dallas (100) Atlanta (101) Houston (99) Phoenix (97) Kansas City (95) Nashville (96) Raleigh (97) Honolulu (112) Manhattan (110) Brooklyn (105) San Jose (115) Orange County (108) Fort Worth (90) El Paso (92) Detroit (95) Minneapolis (100) Columbus (98) Charlotte (99) Tampa (103) Riverside (106) Sacramento (104) Tucson (93) New Orleans (97) Cincinnati (95) San Antonio (105) Pittsburgh (110) San Antonio (101) San Jose (115) This is the relative cost of groceries in the *new* city compared to the national average (100).
New York (105) Los Angeles (102) National Average (100) San Francisco (110) Chicago (108) Boston (103) Seattle (105) Washington, D.C. (100) San Diego (101) Denver (107) Miami (104) Portland (100) Austin (98) Philadelphia (102) Dallas (99) Atlanta (101) Houston (97) Phoenix (95) Kansas City (98) Nashville (97) Raleigh (99) Honolulu (115) Manhattan (110) Brooklyn (105) San Jose (110) Orange County (105) Fort Worth (95) El Paso (96) Detroit (100) Minneapolis (103) Columbus (98) Charlotte (99) Tampa (102) Riverside (106) Sacramento (104) Tucson (94) New Orleans (98) Cincinnati (97) San Antonio (101) Pittsburgh (107) San Antonio (101) San Jose (110) This is the relative cost of utilities in the *new* city compared to the national average (100).
New York (105) Los Angeles (104) National Average (100) San Francisco (110) Chicago (103) Boston (106) Seattle (101) Washington, D.C. (105) San Diego (102) Denver (103) Miami (105) Portland (100) Austin (99) Philadelphia (101) Dallas (100) Atlanta (102) Houston (98) Phoenix (95) Kansas City (97) Nashville (98) Raleigh (99) Honolulu (110) Manhattan (108) Brooklyn (103) San Jose (106) Orange County (103) Fort Worth (95) El Paso (96) Detroit (99) Minneapolis (101) Columbus (98) Charlotte (100) Tampa (103) Riverside (104) Sacramento (102) Tucson (94) New Orleans (97) Cincinnati (95) San Antonio (101) Pittsburgh (106) San Antonio (101) San Jose (106) This is the relative cost of transportation in the *new* city compared to the national average (100).
New York (105) Los Angeles (102) National Average (100) San Francisco (108) Chicago (103) Boston (105) Seattle (101) Washington, D.C. (100) San Diego (102) Denver (103) Miami (104) Portland (100) Austin (98) Philadelphia (101) Dallas (99) Atlanta (101) Houston (97) Phoenix (95) Kansas City (97) Nashville (98) Raleigh (99) Honolulu (110) Manhattan (108) Brooklyn (103) San Jose (106) Orange County (102) Fort Worth (95) El Paso (96) Detroit (100) Minneapolis (101) Columbus (98) Charlotte (99) Tampa (102) Riverside (104) Sacramento (102) Tucson (94) New Orleans (97) Cincinnati (95) San Antonio (101) Pittsburgh (106) San Antonio (101) San Jose (106) This is the relative cost of miscellaneous goods and services in the *new* city compared to the national average (100).
The overall cost of living index is calculated by averaging the indices for housing, groceries, utilities, transportation, and miscellaneous expenses. The required salary is determined by scaling your current salary by this overall index.
Key Assumptions:
  • Housing Index:
  • Groceries Index:
  • Utilities Index:
  • Transportation Index:
  • Miscellaneous Index:
  • National Average Cost of Living = 100
Cost of Living Comparison
Category Current City (Assumed Avg) New City Index Difference (%)
Housing
Groceries
Utilities
Transportation
Miscellaneous
Overall 100
Comparison of Cost Index by Category

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A cost of living calculator from city to city is an invaluable online tool designed to help individuals and families understand the financial implications of relocating from one urban center to another. It quantifies how much more or less expensive it is to live in a new location compared to your current one, taking into account various essential expenses. This comparison is typically presented as an index or a percentage difference, allowing for a quick grasp of the economic impact.

Who Should Use It?

Anyone considering a move to a different city should utilize a cost of living calculator. This includes:

  • Job seekers looking for opportunities in new markets.
  • Individuals pursuing higher education in a different state or country.
  • Families planning a lifestyle change or seeking a more affordable environment.
  • Retirees choosing a new location to stretch their savings.
  • Remote workers who have the flexibility to live anywhere.

Common Misconceptions:

A common misunderstanding is that a simple comparison of rent or home prices is sufficient. However, a true cost of living analysis must consider a broader basket of goods and services. Another misconception is that higher salaries in expensive cities always equate to better purchasing power; this is often not the case when factoring in the exponentially higher costs.

{primary_keyword} Formula and Mathematical Explanation

The core of a cost of living calculator from city to city relies on a weighted average of various expenditure categories. Each category is assigned an index value relative to a national average, which is typically set at 100. The calculator then aggregates these indices to provide an overall comparison.

The general formula used is as follows:

Overall Cost of Living Index = (W_h * I_h + W_g * I_g + W_u * I_u + W_t * I_t + W_m * I_m) / (W_h + W_g + W_u + W_t + W_m)

Where:

  • W represents the weight assigned to each category (reflecting its typical proportion in household spending).
  • I represents the index for each category (Housing, Groceries, Utilities, Transportation, Miscellaneous).

In many simplified calculators, including this one, the weights are often assumed to be equal for each category, effectively becoming a simple average:

Simple Average Index = (I_h + I_g + I_u + I_t + I_m) / 5

The calculator then determines the salary needed in the new city by applying this index:

Salary Needed in New City = Current Salary * (Overall Index of New City / 100)

Variables Table:

Cost of Living Calculator Variables
Variable Meaning Unit Typical Range
Ih Housing Cost Index (relative to national average) Index Value (100 = National Avg.) 50 – 250+
Ig Groceries Cost Index (relative to national average) Index Value (100 = National Avg.) 80 – 120
Iu Utilities Cost Index (relative to national average) Index Value (100 = National Avg.) 85 – 115
It Transportation Cost Index (relative to national average) Index Value (100 = National Avg.) 80 – 110
Im Miscellaneous Cost Index (relative to national average) Index Value (100 = National Avg.) 85 – 115
Current Salary Annual income in the current city USD Variable
Overall Index Average of all category indices for a city Index Value (100 = National Avg.) Variable
Salary Needed Equivalent annual income required in the new city USD Variable

Practical Examples (Real-World Use Cases)

Understanding the cost of living calculator from city to city is best done through examples:

Example 1: Relocating for a Job Offer

Scenario: Sarah earns $70,000 annually in Denver and receives a job offer in San Francisco. She needs to determine if the new salary offer is competitive.

Inputs:

  • Current City: Denver
  • New City: San Francisco
  • Current Salary: $70,000
  • Housing Index (SF): 116.6 (Assuming a value from a data source)
  • Groceries Index (SF): 115
  • Utilities Index (SF): 110
  • Transportation Index (SF): 110
  • Miscellaneous Index (SF): 108

Calculation:

  • Average Index for San Francisco = (116.6 + 115 + 110 + 110 + 108) / 5 = 111.52
  • Salary Needed in San Francisco = $70,000 * (111.52 / 100) = $78,064

Interpretation: Sarah would need to earn approximately $78,064 in San Francisco to maintain the same standard of living she has in Denver. If her job offer is less than this amount, she might need to negotiate or reconsider the move based on financial factors alone.

Example 2: Moving to a More Affordable Area

Scenario: John and Jane currently live in New York City and find it increasingly expensive. They are considering a move to a more affordable city like Austin.

Inputs:

  • Current City: New York
  • New City: Austin
  • Current Salary: $100,000
  • Housing Index (Austin): 83.8
  • Groceries Index (Austin): 98
  • Utilities Index (Austin): 98
  • Transportation Index (Austin): 99
  • Miscellaneous Index (Austin): 98

Calculation:

  • Average Index for Austin = (83.8 + 98 + 98 + 99 + 98) / 5 = 96.56
  • Salary Needed in Austin = $100,000 * (96.56 / 100) = $96,560

Interpretation: Even though Austin's index is slightly below the national average, the significant drop in housing costs is the primary driver. John and Jane would need approximately $96,560 in Austin to maintain their current lifestyle. This indicates they could potentially save money or enjoy a higher standard of living if their combined income in Austin is around this figure or higher.

How to Use This Cost of Living Calculator

Using this cost of living calculator from city to city is straightforward:

  1. Enter Your Current City: Type the name of the city you currently reside in.
  2. Enter Your New City: Type the name of the city you are considering moving to.
  3. Input Your Current Salary (Optional): Provide your current annual income. If you don't input this, the calculator will focus purely on the index comparison.
  4. Select Cost Indices: For the *new* city, choose the corresponding cost index for Housing, Groceries, Utilities, Transportation, and Miscellaneous expenses from the dropdown menus. These indices represent the cost relative to the national average (100). Accurate index values are crucial for a reliable comparison; research reliable sources for the cities you are comparing.
  5. Calculate: Click the "Calculate" button.

Reading the Results:

  • Main Result (Equivalent Salary): This shows the annual income needed in the new city to maintain your current standard of living.
  • Cost Difference (%): This percentage indicates how much more or less expensive the new city is overall compared to your current city (or the national average if no current salary is provided).
  • Overall Index: This is the average index score for the new city, providing a benchmark against the national average (100).
  • Category Breakdown: The table provides a detailed view of how each specific category contributes to the overall cost difference.
  • Chart: Visualizes the index comparison across different categories.

Decision-Making Guidance:

Use the results to inform your relocation decisions. If the equivalent salary is significantly higher than your current earnings or potential offer, factor in potential salary increases. If the new city is much cheaper, consider how that savings could be used (e.g., saving more, investing, or enjoying higher discretionary spending). Remember that these are estimates; factor in your personal spending habits and lifestyle preferences.

Key Factors That Affect Cost of Living Results

While a cost of living calculator from city to city provides a solid estimate, several factors can influence the actual costs you experience:

  1. Housing Market Fluctuations: Housing is often the largest expense. Real estate prices and rental rates can change rapidly due to supply and demand, economic conditions, and local development. The indices used are averages and may not reflect specific neighborhoods or micro-markets.
  2. Personal Spending Habits: The calculator uses average indices. If you spend a disproportionate amount on dining out, entertainment, or specific hobbies, your personal cost of living might differ significantly from the calculated average. Analyzing your own budgeting is key.
  3. Transportation Choices: The index includes costs like fuel, public transit, car insurance, and maintenance. If you rely heavily on a car in a city with high gas prices and insurance, or conversely, if you thrive using excellent public transport in a cheaper city, your transportation costs will vary.
  4. Taxation Differences: This calculator typically does not factor in state and local income taxes, property taxes, or sales taxes, which can vary dramatically between cities and states. These are critical components of overall disposable income.
  5. Healthcare Costs: While sometimes grouped under miscellaneous, healthcare expenses (insurance premiums, out-of-pocket costs) can be a major factor, especially for individuals with specific health needs. These costs can differ significantly by region.
  6. Inflation and Economic Trends: National and local inflation rates impact the purchasing power of money over time. A cost of living index is a snapshot; sustained inflation in either city can alter the real cost difference. Staying updated on economic trends is important.
  7. Lifestyle Preferences: A city might be cheaper overall, but if your preferred lifestyle requires expensive goods or services not factored into the average indices, your personal cost could be higher.
  8. Job Market Dynamics: While not directly part of the cost of living index, the availability of well-paying jobs in your field in the new city is crucial. A lower cost of living might be negated if job opportunities are scarce or offer significantly lower wages. Exploring job market analysis is essential.

Frequently Asked Questions (FAQ)

Q1: How accurate is a city-to-city cost of living calculator?

These calculators provide estimates based on average data for major expense categories. They are highly useful for general comparison but may not reflect your specific spending habits or hyper-local price variations. The accuracy depends heavily on the quality and recency of the data used for the indices.

Q2: Does the calculator account for income taxes?

Most standard cost of living calculators, including this one, do not directly factor in income taxes (federal, state, or local). Taxes can significantly alter your take-home pay and purchasing power, so it's crucial to research tax implications separately when comparing cities.

Q3: What does an index of 100 mean?

An index of 100 represents the national average cost for that particular category or overall. An index above 100 means the city is more expensive than the national average, while an index below 100 means it is cheaper.

Q4: How are the indices for each category determined?

Indices are typically derived from large-scale surveys of consumer prices for goods and services within a specific geographic area, benchmarked against a national average. Data aggregators and government agencies compile this information.

Q5: Should I base my relocation decision solely on the cost of living calculator results?

No. While financial considerations are vital, a relocation decision should also encompass job opportunities, career growth, lifestyle preferences, proximity to family, climate, culture, and overall quality of life. The calculator is one piece of the puzzle.

Q6: What if my spending habits are very different from the average?

If you anticipate spending significantly more or less in certain categories (e.g., you rarely eat out, or you have high healthcare costs), you may need to adjust the calculator's output based on your personal spending analysis. Some advanced calculators allow for custom weights.

Q7: How often is the cost of living data updated?

The frequency of updates varies depending on the data source. Major indices are often updated quarterly or annually. It's important to use calculators that specify their data's recency.

Q8: Can this calculator be used for international city comparisons?

This specific calculator is designed for U.S. cities and uses USD and a U.S. national average as a benchmark. International comparisons require different calculators that account for currency exchange rates, different tax structures, and distinct baskets of goods and services.

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if (value === ") { errorElement.textContent = 'This field is required.'; return false; } if (element.type === 'number') { var numValue = parseFloat(value); if (isNaN(numValue)) { errorElement.textContent = 'Please enter a valid number.'; return false; } if (minValue !== null && numValue maxValue) { errorElement.textContent = 'Value cannot exceed ' + maxValue + '.'; return false; } } errorElement.textContent = "; return true; } function calculateCostOfLiving() { var valid = true; valid = validateInput(currentCityInput, currentCityError) && valid; valid = validateInput(newCityInput, newCityError) && valid; if (currentSalaryInput.value.trim() !== ") { valid = validateInput(currentSalaryInput, currentSalaryError, 0) && valid; } var housingIndexVal = parseFloat(housingIndexInput.value); var groceriesIndexVal = parseFloat(groceriesIndexInput.value); var utilitiesIndexVal = parseFloat(utilitiesIndexInput.value); var transportationIndexVal = parseFloat(transportationIndexInput.value); var miscellaneousIndexVal = parseFloat(miscellaneousIndexInput.value); if (isNaN(housingIndexVal) || housingIndexVal <= 0) { housingIndexError.textContent = 'Please select a valid housing index.'; valid = false; } else { housingIndexError.textContent = ''; } if (isNaN(groceriesIndexVal) || groceriesIndexVal <= 0) { groceriesIndexError.textContent = 'Please select a valid groceries index.'; valid = false; } else { groceriesIndexError.textContent = ''; } if (isNaN(utilitiesIndexVal) || utilitiesIndexVal <= 0) { utilitiesIndexError.textContent = 'Please select a valid utilities index.'; valid = false; } else { utilitiesIndexError.textContent = ''; } if (isNaN(transportationIndexVal) || transportationIndexVal <= 0) { transportationIndexError.textContent = 'Please select a valid transportation index.'; valid = false; } else { transportationIndexError.textContent = ''; } if (isNaN(miscellaneousIndexVal) || miscellaneousIndexVal 0) { salaryNeeded = currentSalary * (overallNewCityIndex / currentCityAvgIndex); costDifferenceOverall = ((overallNewCityIndex – currentCityAvgIndex) / currentCityAvgIndex) * 100; costDifferencePercentDiv.textContent = 'Cost Difference: ' + formatPercentage(costDifferenceOverall); } else { // If no current salary, focus on index comparison to national average salaryNeeded = overallNewCityIndex; // Display the index itself as the 'equivalent' costDifferencePercentDiv.textContent = 'Cost Index vs National Avg: ' + formatPercentage(overallNewCityIndex – 100); } mainResultDiv.textContent = currentSalary > 0 ? formatCurrency(salaryNeeded) : formatIndex(overallNewCityIndex); salaryNeededDiv.textContent = currentSalary > 0 ? "Equivalent Salary Needed in " + newCityInput.value : "Overall Cost Index for " + newCityInput.value; overallIndexDiv.textContent = "Overall Index: " + formatIndex(overallNewCityIndex); housingAssumptionSpan.textContent = formatIndex(housingIndexVal); groceriesAssumptionSpan.textContent = formatIndex(groceriesIndexVal); utilitiesAssumptionSpan.textContent = formatIndex(utilitiesIndexVal); transportationAssumptionSpan.textContent = formatIndex(transportationIndexVal); miscellaneousAssumptionSpan.textContent = formatIndex(miscellaneousIndexVal); // Populate Table housingNewCityTd.textContent = formatIndex(housingIndexVal); groceriesNewCityTd.textContent = formatIndex(groceriesIndexVal); utilitiesNewCityTd.textContent = formatIndex(utilitiesIndexVal); transportationNewCityTd.textContent = formatIndex(transportationIndexVal); miscellaneousNewCityTd.textContent = formatIndex(miscellaneousIndexVal); overallNewCityTableTd.textContent = formatIndex(overallNewCityIndex); // Calculate and display differences in table var housingDiff = ((housingIndexVal – currentCityAvgIndex) / currentCityAvgIndex) * 100; var groceriesDiff = ((groceriesIndexVal – currentCityAvgIndex) / currentCityAvgIndex) * 100; var utilitiesDiff = ((utilitiesIndexVal – currentCityAvgIndex) / currentCityAvgIndex) * 100; var transportationDiff = ((transportationIndexVal – currentCityAvgIndex) / currentCityAvgIndex) * 100; var miscellaneousDiff = ((miscellaneousIndexVal – currentCityAvgIndex) / currentCityAvgIndex) * 100; var overallDiffTable = ((overallNewCityIndex – currentCityAvgIndex) / currentCityAvgIndex) * 100; housingDiffTd.textContent = formatPercentage(housingDiff); groceriesDiffTd.textContent = formatPercentage(groceriesDiff); utilitiesDiffTd.textContent = formatPercentage(utilitiesDiff); transportationDiffTd.textContent = formatPercentage(transportationDiff); miscellaneousDiffTd.textContent = formatPercentage(miscellaneousDiff); overallDiffTableTd.textContent = formatPercentage(overallDiffTable); // Update Chart updateChart(housingIndexVal, groceriesIndexVal, utilitiesIndexVal, transportationIndexVal, miscellaneousIndexVal, overallNewCityIndex); resultsDiv.style.display = 'block'; } function updateChart(housing, groceries, utilities, transportation, miscellaneous, overall) { if (chartInstance) { chartInstance.destroy(); } chartInstance = new Chart(ctx, { type: 'bar', data: { labels: ['Housing', 'Groceries', 'Utilities', 'Transportation', 'Miscellaneous', 'Overall'], datasets: [{ label: 'Cost Index', data: [housing, groceries, utilities, transportation, miscellaneous, overall], backgroundColor: [ 'rgba(0, 74, 153, 0.6)', 'rgba(40, 167, 69, 0.6)', 'rgba(255, 193, 7, 0.6)', 'rgba(23, 162, 184, 0.6)', 'rgba(108, 117, 125, 0.6)', 'rgba(0, 123, 255, 0.8)' ], borderColor: [ 'rgba(0, 74, 153, 1)', 'rgba(40, 167, 69, 1)', 'rgba(255, 193, 7, 1)', 'rgba(23, 162, 184, 1)', 'rgba(108, 117, 125, 1)', 'rgba(0, 123, 255, 1)' ], borderWidth: 1 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, title: { display: true, text: 'Cost Index (National Avg = 100)' } } }, plugins: { legend: { display: false }, title: { display: true, text: 'Cost Index Comparison by Category' } } } }); } function resetCalculator() { currentCityInput.value = 'New York'; newCityInput.value = 'Los Angeles'; currentSalaryInput.value = '75000'; housingIndexInput.value = '185.9'; // Default to New York for Current, Los Angeles for New groceriesIndexInput.value = '110'; // Default to New York for Current, Los Angeles for New utilitiesIndexInput.value = '105'; // Default to New York for Current, Los Angeles for New transportationIndexInput.value = '105'; // Default to New York for Current, Los Angeles for New miscellaneousIndexInput.value = '105'; // Default to New York for Current, Los Angeles for New // Clear errors currentCityError.textContent = "; newCityError.textContent = "; currentSalaryError.textContent = "; housingIndexError.textContent = "; groceriesIndexError.textContent = "; utilitiesIndexError.textContent = "; transportationIndexError.textContent = "; miscellaneousIndexError.textContent = "; resultsDiv.style.display = 'none'; if (chartInstance) { chartInstance.destroy(); chartInstance = null; } } function copyResults() { var mainResult = mainResultDiv.textContent; var salaryNeededText = salaryNeededDiv.textContent; var costDifferenceText = costDifferencePercentDiv.textContent; var overallIndexText = overallIndexDiv.textContent; var assumptionsText = document.getElementById('keyAssumptions').innerText.replace('Key Assumptions:', 'Key Assumptions:'); var tableHtml = document.getElementById('costTable').outerHTML; var textToCopy = "Cost of Living Comparison Results:\n"; textToCopy += "\n" + salaryNeededText + ": " + mainResult; textToCopy += "\n" + costDifferenceText; textToCopy += "\n" + overallIndexText; textToCopy += "\n\n" + assumptionsText; textToCopy += "\n\nDetailed Breakdown:\n" + tableHtml.replace(/]*>/g, ").replace(/(\r\n|\n|\r)/gm, '\n'); // Basic HTML to text conversion if (navigator.clipboard && window.isSecureContext) { navigator.clipboard.writeText(textToCopy).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Failed to copy: ', err); fallbackCopyTextToClipboard(textToCopy); }); } else { fallbackCopyTextToClipboard(textToCopy); } } function fallbackCopyTextToClipboard(text) { var textArea = document.createElement("textarea"); textArea.value = text; textArea.style.position = "fixed"; textArea.style.top = "0"; textArea.style.left = "0"; textArea.style.width = "2em"; textArea.style.height = "2em"; textArea.style.padding = "0"; textArea.style.border = "none"; textArea.style.outline = "none"; textArea.style.boxShadow = "none"; textArea.style.background = "transparent"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'successful' : 'unsuccessful'; alert('Results copied to clipboard! (' + msg + ')'); } catch (err) { alert('Failed to copy results to clipboard.'); } document.body.removeChild(textArea); } // Add event listeners for real-time updates var inputElements = [ currentCityInput, newCityInput, currentSalaryInput, housingIndexInput, groceriesIndexInput, utilitiesIndexInput, transportationIndexInput, miscellaneousIndexInput ]; inputElements.forEach(function(element) { element.addEventListener('input', calculateCostOfLiving); element.addEventListener('change', calculateCostOfLiving); // For select elements }); // Initial calculation on load document.addEventListener('DOMContentLoaded', function() { calculateCostOfLiving(); // Perform an initial calculation with default values }); // FAQ toggle functionality var faqQuestions = document.querySelectorAll('.faq-question'); faqQuestions.forEach(function(question) { question.addEventListener('click', function() { this.classList.toggle('active'); var answer = this.nextElementSibling; if (answer.style.display === 'block') { answer.style.display = 'none'; } else { answer.style.display = 'block'; } }); }); // Ensure chart renders correctly on load if initial calculation is done document.addEventListener('DOMContentLoaded', function() { // Re-run calculation after DOM is ready to ensure chart context is available calculateCostOfLiving(); });

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