Six states with some of the lowest price levels in the country can cut housing costs by nearly half compared to the national average, according to federal data released in late 2024. Mississippi, Arkansas, Oklahoma, West Virginia, Kentucky, and Alabama consistently rank at the bottom of the U.S. Bureau of Economic Analysis price index, meaning everyday expenses from groceries to rent run well below what Americans pay on average. The savings are real, but so is the trade-off: most of the cheapest counties in these states sit far from major job centers, and adjusted incomes lag behind urban hubs even after accounting for lower prices.
Where the 50% Savings Actually Show Up
The headline number comes from housing. The BEA’s Regional Price Parities program, a set of spatial price indexes expressed as a percentage of the national average of 100, breaks costs into categories including goods, services, and housing rents. The latest state-level comparisons identify Mississippi and Arkansas among the lowest-price states in the country. But the discount is not spread evenly across spending categories. It concentrates heavily in one area: rent.
Mississippi’s rent price level index sits at approximately 54.9 for 2023, according to Federal Reserve rent data sourced from BEA. That translates to rent prices roughly 45% below the U.S. average. A household paying $1,800 a month for a two-bedroom apartment in a mid-tier metro area could, in theory, find comparable square footage in parts of Mississippi for under $1,000. The other five states on this list show similar, though slightly less dramatic, rent discounts. Arkansas and several neighboring low-cost states also appear near the bottom of the overall price rankings, with total price levels running well below 100 on the BEA scale.
Housing Drives the Gap, Not Groceries
A common misconception is that cheap states are uniformly cheaper across every spending category. They are not. A detailed BEA discussion of price gaps makes clear that housing and utilities are the primary drivers of geographic disparities in price levels. Goods like food and clothing vary far less from state to state because national supply chains, big-box retailers, and online marketplaces keep retail prices relatively compressed. The real divergence happens in shelter costs, which are shaped by local land values, construction labor markets, and zoning rules that differ wildly between rural Alabama and, say, suburban Virginia.
This distinction matters for anyone running the numbers on a potential move. A family relocating from a high-cost metro to rural Kentucky will see dramatic monthly savings on rent or mortgage payments, but their grocery bill, car insurance, and streaming subscriptions will barely change. The BEA’s category breakouts show that once housing is stripped out, the spread between the cheapest and most expensive states narrows substantially. That means the “50% savings” narrative holds only if housing represents a large share of a household’s total budget and only if the household is actually renting or buying in the lowest-cost counties within those states.
National Spending Trends Sharpen the Appeal
Housing is, in fact, the single largest expense for most American households, and it is getting more expensive. The Bureau of Labor Statistics consumer spending tables for 2024 report a statistically significant increase in housing expenditures as a national average, even as spending on some discretionary categories has flattened. The BLS tracks major spending buckets including housing, transportation, food, and healthcare, and housing consistently dominates the share of total annual outlays. When shelter costs rise faster than wages, the relative appeal of states where rent runs 45% below average grows sharper for anyone who can realistically move.
That pressure is what makes the six low-cost states attractive on paper. For retirees on fixed incomes, remote workers with location-flexible salaries, or families willing to trade urban amenities for financial breathing room, the math can be compelling. A couple downsizing from a high-cost coastal city can redirect hundreds of dollars a month from rent or mortgage payments toward savings or healthcare. But the BEA is careful to note that its annual RPPs are spatial price indexes, not designed for time-series comparisons, so they show where prices are cheaper relative to the rest of the country at a point in time rather than forecasting whether those gaps will widen or shrink in the future.
The Brutal Catch: Jobs and Income
Here is where the bargain gets complicated. Many of the lowest-cost counties in Mississippi, West Virginia, and Arkansas fall into categories that the USDA rural-urban codes classify as nonmetro and nonadjacent to metropolitan areas. Per those 2023 codes, updated in early 2025, these counties sit far from the economic gravity of large cities. That distance from metro job markets limits access to higher-wage employment, specialized healthcare, and the kind of employer competition that pushes salaries upward. Cheap rent often comes bundled with long commutes, thin labor markets, and fewer opportunities for career mobility.
The BEA publishes real personal income statistics that adjust nominal earnings using regional price parities to show purchasing power across states and metro areas. Even after controlling for lower prices, incomes in these six states tend to trail those in higher-cost metropolitan regions. The savings on rent do not fully compensate for the wage gap. A worker earning $45,000 in rural Oklahoma may have lower bills than a counterpart earning $65,000 in Denver, but the Oklahoma worker also has fewer options to switch employers, negotiate raises, or access specialized roles. Over a 20- or 30-year career, that narrower ladder can matter more than a few hundred dollars in monthly housing savings.
How the Cost-of-Living Data Gets Built
The numbers behind these rankings come from two main federal and state pipelines. The BEA constructs its Regional Price Parities using cooperative agreements and microdata from the BLS Consumer Price Index program and the Census Bureau’s American Community Survey, as laid out in a technical methodology paper. Because some of the underlying CPI microdata are confidential, outside researchers cannot fully replicate the index, but the broad approach is transparent: local price quotes and housing data are blended into state and metro-level indexes benchmarked to a national value of 100.
The resulting RPP figures are published in multiple formats, including downloadable spreadsheets and an online interface. Through the BEA’s interactive tables, users can compare states, metropolitan areas, and price categories, or pull time series for research and planning. Separately, the Missouri research agency known as MERIC produces its own cost-of-living index, widely cited in media lists of “cheapest states.” MERIC’s approach relies on data from participating cities and metros and differs from the BEA’s in scope and granularity, but both tools point to the same broad conclusion: the Deep South and parts of the Great Plains consistently register the lowest price levels in the country.
Remote Work Changes the Equation, but Not Entirely
The rise of remote and hybrid work since 2020 has reshaped the calculus for some households. A software engineer earning a big-city salary while living in a small city in Arkansas can, in theory, capture the best of both worlds: high income and low housing costs. For that narrow demographic, the brutal catch largely disappears, and the arbitrage between expensive metros and cheap states becomes a personal windfall. But remote-friendly roles remain concentrated in a handful of industries, primarily technology, finance, and professional services. Workers in healthcare, manufacturing, retail, logistics, and education still need to be physically present, and those sectors dominate employment in much of Mississippi, Alabama, and Kentucky.
There is also a broadband gap. Many of the nonmetro counties where housing is cheapest lack the high-speed internet infrastructure that remote work demands. Without targeted investment in connectivity, digital skills, and coworking spaces, these low-cost areas risk attracting primarily retirees and people drawing down savings rather than working-age families building careers. That dynamic could widen income inequality within these states rather than reduce it, concentrating economic activity in a few metro pockets while rural areas remain affordable but economically stagnant. The BEA’s gross domestic product data already show sharp output differences between metro and nonmetro regions, a pattern that cheap rent alone is unlikely to reverse.
What the Numbers Cannot Tell You
Federal datasets like the RPPs and real personal income series are powerful tools for understanding geographic differences in affordability, but they are not complete guides to where any given household should live. They do not capture the quality of local schools, the reliability of public safety, or the availability of childcare. They say nothing about social networks, family proximity, or cultural amenities that make a place feel like home. A county with rock-bottom rent may also have limited hospital capacity or few options for specialized medical care, factors that matter more than a lower grocery bill for households managing chronic conditions or aging relatives.
For people weighing a move to one of the six lowest-cost states, the data are best used as a starting point rather than a final verdict. The RPPs can highlight where housing is unusually cheap relative to the national norm, while real income statistics and cost-of-living indexes can flag where wages fall short. From there, the real work involves matching those numbers to personal circumstances: job prospects in specific industries, the feasibility of remote work, tolerance for rural isolation, and long-term career goals. The promise of paying half as much for housing is genuine in many parts of Mississippi, Arkansas, Oklahoma, West Virginia, Kentucky, and Alabama. Whether that promise adds up to a better life depends on how each household balances short-term savings against the slower-moving, but ultimately decisive, forces of income growth and opportunity.
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*This article was researched with the help of AI, with human editors creating the final content.
Cole Whitaker focuses on the fundamentals of money management, helping readers make smarter decisions around income, spending, saving, and long-term financial stability. His writing emphasizes clarity, discipline, and practical systems that work in real life. At The Daily Overview, Cole breaks down personal finance topics into straightforward guidance readers can apply immediately.
