The Cheapest U.S. Metros, A Decomposition of the Affordability Discount

Findings

The 25 cheapest U.S. metros average an all-items RPP of 85.3 - roughly 15% below the U.S. national average. Decomposing by component:

• Average rents RPP: 52.1 (48% below national)
• Average services RPP: 79.5 (21% below national)
• Average goods RPP: 94.7 (5% below national)

The cheapest tier mirrors the expensive-tier pattern in reverse: rents do most of the work. The rent-component discount is roughly 9.1× the goods-component discount. Goods stay close to the national mean because tradable goods participate in nationally integrated supply chains and carry national-pricing pressure.

Top-25 cheapest metros (live from database)

Interpretation for Relocation

The decomposition implies an asymmetric relocation arithmetic. A household moving from a high-RPP coastal metro to a cheap-tier metro will see roughly proportional savings on rent (the largest single budget line for renters) and meaningful but smaller savings on services. Goods spending will not change much, your monthly grocery, electronics, and clothing bills should look similar whether you live in San Francisco or McAllen, TX, because those products are nationally priced. Salary expectations, however, scale with services RPP because local wages absorb the local cost level. BLS OEWS data for occupations like registered nurse, teacher, and accountant in cheap-tier metros typically pay 15-25% below national means, more than the 21% services-RPP gap, because local labor markets price below the BEA service basket.

Why Goods Prices Stay Close To National Average

The most surprising decomposition finding for first-time readers is that goods prices in the cheapest U.S. metros sit only modestly below the national average, typically 95-98 RPP-Goods even when overall RPP is 80-85. The mechanism: goods participate in nationally integrated supply chains. Walmart, Costco, and Amazon ship the same brand of cereal, the same TV model, the same diaper pack to retailers in Mississippi and California at similar wholesale prices. Local retail margin and operating cost differences create a small price gap, but the dominant cost driver (wholesale product price plus national-distribution overhead) is roughly the same nationwide. Compare this with services and rents, both of which are produced locally with predominantly local inputs (labor and land respectively) - and the geographic price spread is much wider.

This insight has practical relocation implications. A household whose budget tilts heavily toward goods (large family, growing children, frequent online shopping) captures less of the headline cost-of-living gap than a budget tilted toward rents and services. Conversely, a household whose budget tilts toward rents and dining out captures more. The salary calculator on this site applies a uniform RPP-All-Items conversion, but the more accurate exercise is to weight your specific budget shares against the RPP components.

What This Means For Three Common Profiles

Remote knowledge worker keeping coastal salary. A software engineer earning $150,000 in San Francisco who relocates to a cheap-tier metro while retaining the salary captures roughly the full rent gap (RPP-Rents differential of ~80 points × ~33% housing share = ~26 percentage points of effective purchasing power), partial services gap (services share ~25% × ~25 point differential = ~6 points), and minimal goods gap (~3 points). Combined: a one-time ~35% lift in real disposable income, holding lifestyle constant. The ongoing question is whether the employer maintains the salary anchor over time, many employers introduce geographic pay adjustments after 6-24 months of remote work, so the arbitrage may compress.

Retiree on fixed income who owns home outright. A retired homeowner who sells a paid-off coastal house and buys a paid-off cheap-tier house captures the rent differential as a one-time capital event (the sale-purchase spread funds remaining living expenses). Ongoing services and goods savings are smaller, perhaps 10-15% on the full household budget, but compound over a 20-30 year retirement. State income-tax treatment of pension and Social Security income matters substantially: cheap-tier states like Mississippi, West Virginia, Alabama, and Tennessee tax retirement income very lightly or not at all, while higher-RPP states often impose substantial taxes on the same income streams.

Family with school-age children. The household-budget arithmetic favors cheap-tier metros, but the educational-quality and healthcare-access trade-offs are non-trivial. Cheap-tier metros often have thinner school district options (fewer schools, less specialization in rare-need programs) and more limited subspecialty medical care. The financial arithmetic should be weighed against these structural service-availability differences, which BEA RPP does not capture.

Caveats

• RPP captures average price levels, not absolute affordability. A household earning median income in a cheap-tier metro may still face affordability stress if local wages haven't kept pace with rent.
• BEA RPP excludes state and local income tax burdens, a separate consideration when comparing metros across state lines. Cheap-tier metros span a wide range of state tax regimes, from no-income-tax states like Tennessee and Texas to states with progressive brackets like West Virginia.
• The cheap-tier list is dominated by smaller metros (population under 1M) and rural-adjacent metros. Job-market thinness is a real cost to weigh against the price-level discount, especially for specialized professional and technical occupations where local demand may be limited.
• Index values are annual averages; intra-year volatility is not reflected. Some cheap-tier metros experienced rapid rent increases during 2020-2023 remote-work migration; the BEA index will show these as compressed gaps in subsequent annual releases.
• Healthcare access varies substantially across cheap-tier metros. The services RPP captures average prices, not the availability of specialist providers, hospital networks, or insurance plan options. Households with significant healthcare needs should layer specific provider-network research on top of the price-level comparison.
• Climate and natural-hazard exposure differ substantially across the cheap-tier list. The southeastern cheap-tier metros face hurricane risk; Appalachian metros face flood and landslide risks; central-state metros face tornado risk. Insurance costs (which feed into the BEA goods component) reflect these but may understate a household's full risk exposure.

Replication and Methodology

For the full data-pipeline methodology, see the PlainCost /methodology page. The single SQL query underlying this article runs at request time against PlainCost's BEA-mirror database.

Underlying SQL:

SELECT * FROM msas ORDER BY rpp_all ASC LIMIT 25;

To replicate from BEA's source: download the MARPP table from the BEA Regional Data API, filter to the most recent year, sort by All-Items index ascending, take the top 25.