What are the 10 most affordable states? A practical guide

What ‘cheap cities in united states’ means for state affordability

How city-level cheapness relates to state averages

The phrase cheap cities in united states often describes metros or towns with lower rents, lower grocery prices or cheaper services than national norms. For many readers the distinction between a single city and a whole state matters because local housing and services can be much cheaper than statewide averages. When someone searches for cheap cities in united states they usually want places where daily expenses and housing are noticeably below what they pay now.

The BEA shows that standardized price comparisons at state and metro level are available through Regional Price Parities, which help compare overall price levels rather than single items BEA Regional Price Parities.

When metro and state measures diverge

State averages can mask sharp metro differences because high-cost cities concentrate expensive housing and services while many rural areas remain much cheaper. Analysts note that housing clusters and local market conditions often drive these differences, so a low-cost city inside a higher-priced state can be an exception rather than the rule Zillow Research data portal.

That pattern means lists of cheap cities in united states are useful starting points but not definitive relocation guides. Multi-factor rankings combine housing, taxes, utilities, groceries and healthcare to give a fuller view and often change a city-only impression once taxes and wages are included WalletHub methodology and rankings.

Why BEA regional price parities matter for comparing states

What RPP measures and what it omits

BEA Regional Price Parities measure broad price-level differences across states and metro areas. The RPP concept standardizes how much goods and services cost in each area, making interstate comparisons more consistent than looking at one-off prices BEA Regional Price Parities and FRED RPP tables.

RPP captures general consumption price levels but omits some detailed policy or local dynamics, for example specific state tax provisions or rapidly changing neighborhood rents. For relocation decisions it is advisable to pair RPP with finer-grain sources that track housing, taxes and wages WalletHub methodology and rankings.

How to read state-level RPP numbers

RPP values are relative indexes that indicate whether a state is generally cheaper or more expensive than the national baseline. Use RPP as a baseline and then layer in housing, tax and wage checks to estimate real purchasing power in a target area BEA Regional Price Parities.

When comparing states, remember RPP does not replace targeted checks like median rent or typical local tax bills; it is the starting point for a transparent, replicable comparison.

Key data sources and tools to check before you move

Federal and independent datasets to consult

Before acting on a cheap cities in united states headline, gather a short list of public datasets: BEA RPP for price levels, Zillow for housing trends, Tax Foundation for state tax rules, KFF for health cost indicators and MIT living wage for local wage context. Each source fills a specific gap in the affordability picture BEA Regional Price Parities.

Independent multi-factor rankings, such as WalletHub analyses, synthesize these inputs but rely on chosen weights. Consult the underlying data and weighting rules before accepting a top 10 list as directly applicable to your household WalletHub methodology and rankings.

How to access and interpret each source

Each dataset has a different structure and update cycle. BEA publishes annual RPPs that are best for broad comparisons, while Zillow updates housing indicators more frequently to capture market turns Zillow Research data portal.

Tax tables require attention to brackets and which income types are taxed. The Tax Foundation provides clear state-by-state rate tables that you can pair with price and wage data to estimate after-tax costs Tax Foundation state tax tables.

Framework: how to build a household-focused affordability ranking

Choose categories and weights

A practical framework begins with a clear list of categories: housing, taxes, groceries, utilities, healthcare and wages. Each category affects household budgets in different ways, so include them all when you rank states for a particular household type Zillow Research data portal.

Consider giving housing a higher weight for families that need more space, and healthcare a higher weight for retirees. Document the weights you choose so you can test how sensitive the ranking is to those assumptions WalletHub methodology and rankings.

Sample weighting approach for different household types

For many families a sample weighting might be housing 40, taxes 20, healthcare 20, groceries 10 and utilities 10. For retirees consider healthcare 35, housing 30, taxes 20, and groceries and utilities sharing the remainder. For single remote workers housing and wages often dominate the mix.

Whatever you choose, save sources, note the dates, and keep the scoring transparent so you can revisit it if local conditions change or you find better data.

Housing: why rents and home values usually drive affordability

How to use Zillow and local MLS trends

Housing – both rents and home values – commonly explains the largest share of affordability differences between areas. Real-estate indices and local MLS reports show how quickly housing costs are changing and whether a city listed as cheap is staying cheap Zillow Research data portal.

To evaluate a target metro, compare median rents, recent price appreciation and inventory metrics. If median rent is falling or stable and supply is adequate, the area may offer sustainable affordability. If rents are rising quickly, a cheap-city label may not last.

Rent vs buy: short-term and long-term impacts

Rent-focused moves can offer short-term cost relief, but buy-versus-rent decisions depend on local price trends, mortgage rates and time horizon. Use Zillow trend tools and local MLS data for the most current indicators and to estimate carrying costs if you plan to buy Zillow Research data portal.

Also check local zoning and supply constraints because constrained supply can push prices up fast, changing an area from affordable to expensive within a few years.

Taxes: include state income, sales and property taxes in affordability checks

How to calculate after-tax cost differences

State income, sales and property taxes materially change after-tax affordability. Review marginal income tax brackets, the sales tax base and typical property tax bills to estimate net cost differences for representative households Tax Foundation state tax tables.

Pair tax tables with wage and price data so you can estimate disposable income in each state rather than comparing gross numbers alone. That pairing often changes which states are most affordable for a given household.

When tax structure changes the ranking

A state with low consumer prices but high property taxes or a narrow sales tax base may be less attractive for homeowners than a state with slightly higher prices but lower tax exposure. Check how tax credits, exemptions and local levies affect typical bills before finalizing a move Tax Foundation state tax tables.

Document the tax rules and the date you pulled them so you can replay calculations if laws change.

Healthcare costs and the hidden affordability trade-offs

When low prices are offset by high healthcare spending

Healthcare spending and insurance costs vary by state and can reduce the effective affordability advantage of low-price states, especially for households with significant medical needs KFF State Health Facts on costs and financing.

Compare state health spending, typical insurance premiums and out-of-pocket costs for common procedures to see whether a low general price level still yields net savings once medical expenses are included.

Where to find state health cost indicators

Kaiser Family Foundation provides state-by-state health cost and financing indicators that help model expected medical expenses for different household profiles. Use those indicators to add a healthcare line to your affordability score KFF State Health Facts on costs and financing.

For households with chronic conditions or higher care needs, run scenarios with higher healthcare weights to see how rankings shift.

Local labor markets and wages: affordability depends on pay too

Comparing median wages and employment opportunities

Local job markets and average wages can offset lower living costs. Compare median wages, unemployment rates and sectoral demand so a low-cost area also delivers realistic earning prospects for your skills. Use living-wage framing to see whether local pay supports your household budget MIT Living Wage Calculator.

If local wages lag national norms, the affordability advantage of a cheap city may shrink once you account for likely earnings. Sectoral fit matters for long-term stability.

Remote work and regional wage effects

Remote work can let households capture higher wages while living in lower-cost places, but you still need to check state tax treatment of remote income and local service quality. Remote-friendly households should weigh internet reliability, utilities and commute options alongside price data Zillow Research data portal.

Remote work reduces some trade-offs but does not eliminate housing or healthcare impacts on day-to-day budgets.

How to combine metrics for your household: a decision checklist

Steps to produce a personalized ranking

Check RPP to set a baseline, then retrieve local housing trends, collect state tax tables, estimate healthcare costs and compare wages for your occupation. Score each category, apply your weights, and sort candidate states by the aggregate score BEA Regional Price Parities.

Run sensitivity tests by shifting weights to see which factors drive the ranking. Save your sources and dates so you can update the comparison as new data appears WalletHub methodology and rankings.

Red flags and must-check items

Red flags include rapidly rising local rents, high single-industry dependence that risks job loss, limited healthcare access and large recent tax changes. When you see these, dig deeper into local MLS listings, labor-market reports and health facility access metrics Zillow Research data portal.

Document assumptions and be conservative about projected savings when one or two indicators dominate the score.

A practical list: 10 commonly cited most affordable states and what to check

Why lists differ across sources

Many multi-factor rankings place several Southern and Midwestern states among the most affordable, but final lists depend on weighting choices, data vintage and whether the index emphasizes housing or overall price levels WalletHub methodology and rankings.

Because housing often dominates these indices, a state with low BEA RPP but rising local rents may appear affordable in one list and less so in another that uses more recent housing data.

Quick caveats before deciding

Do not accept a top 10 list without checking your household-specific priorities. Taxes, healthcare needs and wage prospects can move a state up or down your personal ranking regardless of its publicized spot on aggregate lists Tax Foundation state tax tables.

Use the checklist from this guide to validate any published list and to see which states actually match your budget and priorities.

Comparing metros and ‘cheap cities in united states’: when city data matters more than state averages

When to prioritize city-level checks

If you already have a target metro in mind, focus on that metro’s rent indices, neighborhood price bands and commute options. Metro-level checks are often the decisive factor for affordability because housing and services vary within states Zillow Research data portal.

State averages are best used for broad scanning, but when you narrow to relocation choices, city and neighborhood data should take priority.

Examples of metro-state divergence

A cheap city inside a higher-cost state can be affordable for newcomers, but services, job access and taxes still reflect the wider state context. Where metro RPP data exists, use it to resolve such divergences before making housing commitments BEA Regional Price Parities and consult related datasets such as Social Explorer.

Always check local MLS listings and recent rent movement to confirm a city-level claim of being cheap.

Common mistakes and pitfalls when using affordability rankings

Overreliance on single-metric lists

Do not rely only on a single metric such as median rent or only on overall RPP. Single-metric lists miss taxes, healthcare and wage differences that change net affordability Zillow Research data portal.

Also avoid applying national averages to small regions; local supply constraints and neighborhood dynamics can produce very different outcomes.

Ignoring tax or healthcare differences

Ignoring state tax structure or healthcare cost differences is a common mistake. These factors can erase expected savings from lower prices if not included in a household’s budget model KFF State Health Facts on costs and financing.

Check methodology and date ranges for any ranking and prefer sources that publish their weighting rules.

Three practical scenarios: family, retiree, and remote worker examples

How priorities change by household type

Family scenario: a typical family should weight housing and healthcare higher and check school quality and service access. Use Zillow for housing, KFF for healthcare, and local education data when relevant Zillow Research data portal.

Retiree scenario: retirees should emphasize healthcare costs, property tax exposure and access to services; KFF and Tax Foundation tables are particularly useful for these checks KFF State Health Facts on costs and financing.

Sample checklists for each scenario

Remote worker scenario: prioritize housing cost, reliable internet and how the state taxes remote income. Combine wage and housing checks and verify local utility and broadband quality before committing MIT Living Wage Calculator.

For each scenario, run the same scoring template but adjust the weights and document your assumptions.

How to use this guide: checklist, next steps and closing summary

Quick checklist to carry forward

Order of operations: consult BEA RPP, check housing trends, review state tax tables, estimate healthcare costs, compare wages and run sensitivity tests. Save sources and dates as you go and prefer transparent composite indices when available BEA Regional Price Parities.

For final decisions, consult local MLS listings, state tax offices and health providers to confirm assumptions used in your model and check purchasing power maps such as the one from Tax Foundation Tax Foundation purchasing power map Zillow Research data portal.

Suggested next steps

Use the framework and checklist in this guide to build a short list of candidate states, then test the list with scenario-specific weights. If you are researching candidates or public officials in a district context, consult primary sources and campaign filings for neutral context.

No single published top 10 fits every household; use transparent methods and up-to-date local checks before relocating.

What ‘cheap cities in united states’ means for state affordability

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