Cost of Living Comparison

How a Cost-of-Living Salary Equivalent Is Calculated

A cost-of-living index compares how expensive one place is to live relative to a baseline of 100 — multiplying your current salary by the ratio of the target index to your current index gives the salary you’d need in the new location to maintain the same standard of living. Enter your current salary along with a cost-of-living index for your current city and your target city, and this calculator scales your salary by the difference between the two.

This calculator deliberately does not include a built-in list of city cost-of-living numbers. Cost-of-living figures shift as prices change, and different organizations calculate them differently, so hardcoding a fixed set of cities would go stale and could quietly mislead you. Instead, look up the current index for each city yourself from a real, cited source — the Council for Community and Economic Research (C2ER) and Numbeo are both widely used, free options — and enter those two numbers here.

Formula

$\text{Equivalent Salary} = \text{Current Salary} \times \frac{\text{Target Index}}{\text{Current Index}}$

Both indices use the same 100-point baseline convention almost every published cost-of-living index follows, so the ratio between them directly scales your salary. Once you know your target salary, the Paycheck / Salary Calculator calculator can estimate what that figure actually takes home after taxes.

Worked Example

Someone earning $80,000 a year wants to compare their current city (index 100) against a target city with an index of 130:

1. Ratio: 130 ÷ 100 = 1.30.
2. Equivalent salary: $80,000 × 1.30 = $104,000.
3. Dollar difference: $104,000 − $80,000 = +$24,000.
4. Percent difference: (130 − 100) ÷ 100 × 100 = +30%.

They’d need about $104,000 in the target city to maintain the same standard of living they have today.

Key Factors to Consider

• Housing is usually the single largest driver of a cost-of-living difference. Most cost-of-living indices weigh housing heavily, since it varies the most between cities — a location with high overall cost of living often owes most of that gap specifically to housing costs rather than groceries, utilities, or other categories.
• A remote-work salary sometimes doesn’t adjust for cost of living at all. Some employers set pay based on role and experience regardless of location, while others explicitly adjust salary by a location factor — understanding which policy your employer (or a prospective one) actually uses matters as much as the raw cost-of-living math itself.
• Cost-of-living indices update periodically, not continuously. Since prices change over time, an index looked up months or years ago may no longer reflect current costs, especially in a fast-changing housing market — check for the most recent available data from your source.
• This is a starting point for negotiation, not a guaranteed number an employer will match. A calculated equivalent salary is useful ammunition in a relocation or remote-work salary conversation, but actual offers depend on the employer’s own compensation philosophy and budget, not solely on cost-of-living math.

Common Mistakes

• Mixing index sources. Different organizations weigh housing, groceries, and other categories differently, so a “100” from one source isn’t necessarily the same as a “100” from another. Use the same source for both cities whenever you can.
• Forgetting income tax differences. This calculator only converts for cost of living, not tax rates — two cities with the same cost of living can still tax income very differently. Use the Income Tax Calculator calculator to compare take-home pay directly.
• Treating the result as exact. A city-level index is an average across the whole metro area — actual costs (especially housing) can vary widely by neighborhood, so treat the result as a solid starting point for negotiation, not a guaranteed figure.

Useful to Know

A cost-of-living index gap doesn’t always translate into an equal-percentage cut or raise in real disposable income, because it’s a weighted average across an entire household budget — someone who rents a small apartment and doesn’t own a car feels a housing-heavy index difference much less than a homeowner with a long commute would, even in the exact same two cities. It’s also worth checking whether a target city’s index is unusually high mainly because of one dominant category (housing in a handful of coastal tech hubs is a common example) rather than a broadly higher cost of everything — that distinction matters if your own spending happens to be lighter in whichever category is driving the gap.