Comparing Metro Areas: A Guide to BEA Cost-of-Living Data

What RPP Data Actually Measures

A Regional Price Parity (RPP) is an index that compares the price level in one geographic area to the national average of 100. The BEA calculates RPPs using price data from the Bureau of Labor Statistics Consumer Price Index program and the Census Bureau's American Community Survey for rents.

An all-items RPP of 92 means the overall price level in that metro is 8% below the national average. An RPP of 113 means prices are 13% above average. These indexes are published for all 384 metropolitan statistical areas (MSAs) in the United States, plus all 50 states and the District of Columbia.

Critically, RPP is a relative measure, not an absolute one. It tells you how an area compares to the national average at a given point in time. It does not directly tell you how much prices changed from the previous year — that requires comparing RPPs across time.

The Three RPP Components

The all-items RPP is a weighted average of three components, each capturing a different slice of consumer spending. Understanding each one is essential for meaningful metro comparisons.

Goods RPP. This measures the price level of physical goods — food, clothing, electronics, vehicles, household products. Goods prices tend to vary less across metros than services or rents because goods are tradable: a television costs roughly the same in Topeka as in San Francisco, with state sales tax being one of the main differentiators. Most metro goods RPPs fall in a narrow band between 95 and 105.

Services RPP. This covers non-housing services — healthcare, education, childcare, personal services, transportation services. Services prices are driven by local wages and are much stickier to geography than goods. A doctor visit in New York City costs far more than the same visit in rural Mississippi. Services RPP tends to be the second-largest driver of metro-level cost differences.

Rents RPP. This is the most volatile and impactful component. Housing costs — measured through actual rents — vary enormously across metros. The rents RPP for San Jose, California exceeds 180 (meaning rents are 80%+ above the national average), while some smaller metros in the South and Midwest fall below 60. Because housing is the single largest household expense, the rents RPP has an outsized effect on the all-items figure.

You can explore all three components for any metro on our metro area pages. Start with the all-items number, then drill into the components to understand what is driving it.

How to Compare Two Metros Step by Step

A surface-level comparison looks at the all-items RPPs of two cities and calls it done. A meaningful comparison requires more structure. Here is a practical framework:

Step 1: Start with the all-items headline. Pull the all-items RPP for both metros from the PlainCost metro directory. If the difference is small (less than 5 points), the two areas have broadly similar overall price levels. If it is 15+ points, there is a significant structural cost gap worth investigating.

Step 2: Decompose into components. Check the goods, services, and rents RPPs for both metros. Frequently, one component dominates. For example, Austin, Texas and Nashville, Tennessee may have similar all-items RPPs, but Austin's rents RPP might be significantly higher while Nashville's services RPP is the driver. Knowing which component differs changes how you plan.

Step 3: Weight by your spending. The BEA uses national average spending weights to create the all-items composite, but your personal spending differs. If you own a home outright and have no mortgage, the rents RPP matters less to you than to a renter. If you have three children in daycare, the services RPP matters more. Apply your own household budget weights mentally.

Step 4: Layer in wages. Cost of living means nothing without income context. An RPP of 85 is irrelevant if local wages for your occupation are 25% below the national average. Use BLS Occupational Employment and Wage Statistics to compare local wages for your field. The PlainCost salary calculator automates this by converting nominal salaries into real purchasing power.

Step 5: Check the trend. A metro with an RPP of 95 today that was 88 three years ago is on a different trajectory than one that has been stable at 95 for a decade. Rapidly rising RPPs, especially in the rents component, signal a market that may be more expensive than the current static figure suggests. Browse our rankings pages to see which metros have the highest and lowest price levels.

Common Pitfalls When Comparing Metros

Comparing MSA to city. RPPs are calculated at the metropolitan statistical area level, which includes the central city plus surrounding suburbs and exurbs. The MSA-wide RPP averages over a large geographic footprint. Living in the urban core of a metro typically costs more than the MSA-wide RPP suggests; living in the exurbs costs less. If you know where within a metro you will live, recognize that the RPP is an area average.

Ignoring rents when you plan to buy. The rents RPP is derived from rental data, but it strongly correlates with home prices. If you plan to buy a home, the rents RPP is still a useful proxy for housing cost pressure in the area. However, homebuying involves additional factors — mortgage rates, property taxes, insurance costs — that RPPs do not capture.

Treating RPP as a cost-of-living calculator. RPP tells you the relative price level in an area. It does not tell you what your specific household will spend. A family of five has a different cost structure than a single professional. Use RPP as a baseline, then adjust for your specific household composition and lifestyle.

Forgetting that cheap can mean underdeveloped. The lowest-RPP metros in the country are affordable for a reason — they often have smaller job markets, fewer amenities, longer commutes, and less access to specialized healthcare or education. Cost savings only matter if the area meets your needs in other dimensions. Use RPP data alongside quality-of-life indicators, not instead of them.

What RPP Does Not Tell You

Regional Price Parities are a powerful tool, but they have clear limitations that you should understand before relying on them for major decisions.

RPPs do not capture state or local income taxes. Two metros with the same RPP but in different states — say one in Texas (no state income tax) and one in California (up to 13.3% marginal rate) — deliver very different after-tax purchasing power. Always add a tax layer to your analysis.

RPPs do not capture commute costs or time. A suburb with a low RPP that requires a 90-minute commute has hidden costs — fuel, vehicle wear, tolls, lost time — that offset some of the savings.

RPPs do not capture quality-of-life factors like air quality, climate, walkability, cultural amenities, or proximity to family. These matter enormously in relocation decisions but are outside the scope of price-level data.

RPPs are lagged. The most recent data available in any given year reflects prices from roughly two years prior. In a metro experiencing rapid growth or decline, the current reality may differ substantially from the published figure.

Practical Use Cases

Relocation planning. Use RPP data to quantify the true cost difference between your current metro and potential destinations. Compare the all-items RPP, then drill into rents (your biggest expense) and services (healthcare, childcare). Run the numbers through the salary calculator to see what salary you would need in the new city to maintain your current lifestyle.

Remote work optimization. If your employer pays a flat salary regardless of location, moving from a high-RPP metro to a low-RPP metro is a real raise without changing jobs. Our guide on remote work geographic arbitrage covers this strategy in detail using RPP data.

Business location analysis. Companies choosing locations for offices, warehouses, or retail outlets can use services RPP (a proxy for local labor costs) and rents RPP (real estate costs) to model operating cost differences between candidate metros.

Retirement planning. Retirees on fixed incomes benefit most from areas where the rents RPP and services RPP are both low. The cheapest metros ranking provides a starting point, but cross-reference with healthcare services data since healthcare spending rises in retirement.

Frequently Asked Questions

What is the difference between all-items RPP and the component RPPs?

The all-items RPP is a single composite index that captures the overall price level in a metro area relative to the national average of 100. The component RPPs break this down into goods, services, and rents. A metro with a low all-items RPP might still have high rents if goods and services pull the composite down. Always check the components, not just the headline number.

Why do some metros have high goods prices but low services prices?

Goods prices depend heavily on supply chain costs, state tax policy, and proximity to distribution hubs. Services prices depend more on local wages and demand density. A metro near major shipping routes may have cheap goods but expensive services if local wages are high due to a tight labor market. These components can move independently.

How should I compare two metro areas if I am considering relocating?

Start with the all-items RPP to get the headline cost difference. Then examine the rents RPP separately, since housing is typically 30-40% of household spending and can diverge sharply from the overall index. Factor in your personal spending mix and compare local wages using BLS data to calculate real purchasing power.

Do RPPs account for taxes?

RPPs measure price levels for goods, services, and rents — they include sales tax effects on goods prices but do not directly measure state income tax, property tax, or other tax burdens. Two metros with the same RPP can have very different effective tax rates. Always layer tax analysis on top of RPP comparisons.

How often does BEA update metro-level RPP data?

BEA releases updated Regional Price Parities annually, typically in the fourth quarter. The data lags by about two years — so data released in late 2025 reflects price levels from 2023. This lag means RPPs are best for understanding structural cost differences between metros, not for tracking month-to-month price changes.