Understanding Cost of Living Data

Why Cost of Living Is the Most Misunderstood Relocation Metric

Cost of living is the first thing most people research when considering a move, and it is also the metric most frequently misused. The core problem is that cost-of-living data is meaningless in isolation. A metro with prices 20% below the national average sounds affordable, until you learn that wages there are 30% below average.

The Bureau of Economic Analysis publishes Regional Price Parities (RPPs) that measure how prices for goods, services, and housing compare across 384 metro areas. These are the most rigorous cost-of-living estimates available from any government source. But interpreting them correctly requires understanding what they measure, what they miss, and how they interact with wage data.

PlainRelocate combines BEA RPPs with BLS wage data to calculate true purchasing power for every metro. This guide explains how that calculation works and how to use it for your relocation research.

How Regional Price Parities Are Calculated

An RPP is an index where 100 equals the national average. A metro with an RPP of 87 has overall prices 13% below the national average. The BEA calculates RPPs using price data from the Census Bureau's Consumer Expenditure Survey and American Community Survey, weighted by typical household spending patterns.

What it tells you: RPPs capture three components: goods (groceries, clothing, transportation), services (healthcare, education, personal services), and rents. A metro's overall RPP is a weighted average of all three. The rent component typically shows the most variation, rent RPPs range from under 60 to over 200 across metros, while goods RPPs cluster more tightly between 90 and 110.

What it doesn't tell you: RPPs are averages across all spending categories. If your personal spending differs from the typical household, for example, you have high healthcare costs or own your home outright, the RPP may not accurately reflect your cost experience. RPPs also don't capture state and local taxes, which can vary significantly.

How to use it: Look up any metro on PlainRelocate to see its RPP alongside wage data. The City Finder ranks metros by purchasing power (wages adjusted for costs) rather than by cost alone.

Cost-of-living data is meaningless in isolation, a metro 20% below average sounds affordable until you learn wages there are 30% below average.

Purchasing Power: The Metric That Actually Matters

Purchasing power combines cost data with income data to answer the question that actually matters: how much can my salary buy in this metro?

What it tells you: A metro where you earn $55,000 with an RPP of 85 gives you purchasing power equivalent to $64,700 at the national average. A metro where you earn $80,000 with an RPP of 120 gives you purchasing power equivalent to $66,700. The "cheaper" metro actually delivers comparable or better financial outcomes despite the lower salary.

What it doesn't tell you: Purchasing power uses median wages for your occupation, which may not match your specific salary. Career progression, bonus structures, and benefits vary by employer and are not captured. Also, savings and investment goals are not adjusted, if you plan to retire elsewhere, saving $10,000 in a cheap metro and $10,000 in an expensive metro results in the same retirement balance.

How to use it: When comparing two metros on PlainRelocate, the comparison tool automatically adjusts your salary for cost differences. Focus on the adjusted salary figure, not the nominal salary or the RPP alone.

The Housing vs. Non-Housing Split

Housing costs drive most of the geographic cost variation in the United States. Goods prices vary relatively little across metros, a gallon of milk costs roughly the same in Omaha as in San Francisco. But a two-bedroom apartment that rents for $800/month in Omaha rents for $3,500/month in San Francisco.

This means homeowners and renters experience cost of living very differently. If you own your home outright and are relocating to a rental market, the rent component of the RPP matters enormously. If you're a renter moving to a metro where you plan to buy, the RPP may understate your actual costs because RPPs use rental data, not home purchase prices.

PlainRelocate shows HUD Fair Market Rents alongside RPPs on each metro page. Compare the rent RPP component against FMR data for a fuller picture of housing costs in your target metros.

Practical Framework for Using Cost Data

Step 1, Start with purchasing power, not raw costs. Use PlainRelocate's rankings to sort metros by purchasing power rather than by cost alone. This immediately eliminates the "cheap but low-wage" trap.

Step 2, Drill into the components. On each metro page, look at the breakdown: what proportion of the cost index comes from housing versus goods versus services? If housing is the primary driver, homeownership may insulate you from the high-cost components.

Step 3, Cross-reference with rent data. Compare the BEA RPP rent component against HUD Fair Market Rents on the same metro page. If FMRs seem low relative to what you see on rental sites, remember that FMRs represent the 40th percentile of existing units, market-rate new construction may be significantly higher.

Step 4, Account for taxes. RPPs do not include state and local income taxes, property taxes, or sales taxes. A no-income-tax state may effectively reduce your cost of living by 3-8% beyond what the RPP shows. Factor this in manually when comparing metros across state lines.

Frequently Asked Questions