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October 30, 20264 min readAreal Research

Finding the Cheapest States to Live Through Rent-to-Income Data

Identify the cheapest states to live by calculating rent-to-income ratios. Use Areal data to move beyond raw rent prices and find true housing affordability.

Finding the Cheapest States to Live Through Rent-to-Income Data

Determining the cheapest states to live requires looking past advertised monthly rent prices and focusing on the rent-to-income ratio. While raw rental costs vary significantly across the country, true affordability depends on how those housing costs compare to the local median household income in a specific area. By using data from the U.S. Census Bureau and HUD, renters can identify markets where income levels better support the cost of housing, rather than simply searching for the lowest absolute rent.

Why Raw Rent Figures Fail Renters

Many search tools focus on raw rent, often listing states or cities by the lowest average monthly cost. This approach is fundamentally flawed for renters because it ignores the local economic context. A low-rent area may seem attractive on the surface, but if the local wages are stagnant or exceptionally low, the cost of living as a percentage of income might actually be higher than in a more expensive metropolitan area.

For example, a two-bedroom apartment costing $1,000 per month might appear as a bargain. However, if the median household income in that specific ZIP code is only $25,000 per year, the rent burden is significant. Conversely, an area with a monthly rent of $2,000 where the median household income is $80,000 per year provides a different level of financial stability. Renters must weigh their monthly housing expenses against their local earning potential to make informed decisions.

Understanding the Rent-to-Income Ratio

The rent-to-income ratio is a calculation that measures the percentage of a household's gross income spent on housing. A standard guideline suggests that housing costs should not exceed 30% of a household's gross income. When you exceed this threshold, the housing is considered cost-burdened.

When evaluating the cheapest states to live, you are effectively hunting for markets where the ratio stays below this 30% mark. To calculate this for yourself, divide your annual gross rent by your annual household income. Using Areal’s ZIP-level market index, which incorporates U.S. Census Bureau ACS 5-year estimates and HUD Fair Market Rent data, you can observe how different neighborhoods across a state vary wildly in their affordability, regardless of what the state-wide average suggests.

Analyzing Market Volatility with Data

To move beyond generic rankings, researchers use the FHFA House Price Index alongside HUD data to understand how quickly a market is changing. A market with low rent today could quickly become unaffordable if local rent growth outpaces local wage growth. Renters who use data to analyze their current or prospective ZIP code can see if rents are rising at a rate that will soon threaten their budget.

When looking at a region, it is important to acknowledge that census data and HUD estimates are based on specific vintages. This means the data provides a strong baseline, but it is not a real-time tracking of every lease signed today. It is a snapshot of the current local market equilibrium.

Worked example

To see how these metrics interact in a real-world setting, consider the data for ZIP code 92126 in San Diego County, California. This report, computed by Areal using Census ACS 2024 5-year estimates, HUD fiscal year 2027 Small Area Fair Market Rent data, and the FHFA House Price Index, shows the practical intersection of high home values and rental costs.

In this ZIP code, the median home value is $979,735. The median monthly rent for a two-bedroom unit is $3,044. To find the price-to-rent ratio, we look at the home value divided by the annual rent: $979,735 ÷ ($3,044 × 12) = 26.8x. This ratio highlights a significant spread between purchasing a home and renting one.

Furthermore, when we analyze the median household income of $106,268, we calculate the price-to-income ratio: $979,735 ÷ $106,268 = 9.2x. A ratio of 9.2x is classified as stretched, as it far exceeds the 5x threshold historically associated with accessible local housing markets. Despite the area's high median income, the home values and rents remain high relative to that income. By viewing [the ZIP 92126 report](/zip/92126), you can see how these specific local indicators paint a picture of a tight market that raw rent numbers alone might obscure.

Frequently asked questions

How does Areal define the cheapest states to live?

We do not provide a state-level "cheapest" ranking because affordability is local. We define affordability by measuring the rent-to-income ratio at the ZIP level to ensure renters account for local wage variations.

Can I use this data to predict future rent increases?

While we report on rent change over the past 12 months using FHFA and HUD data, we do not provide market forecasts. Data reflects historical trends and current market conditions, not future certainty.

Why do you only use ZIP codes for these analyses?

Broad geographic averages, such as state or county-wide metrics, hide the differences in affordability between adjacent neighborhoods. ZIP codes provide a more accurate look at the actual housing market a renter will encounter.

Are these figures guaranteed for my specific apartment search?

HUD Small Area Fair Market Rents are estimates designed for program administration and market analysis. They are excellent benchmarks for your budget, but actual lease prices in a specific building may vary.

Check your own ZIP

If you are evaluating a move or assessing your current budget, it is helpful to understand the local economic environment of your specific neighborhood. You can run a free ZIP analysis to see how your local rent and income levels compare to regional averages, or browse city rental markets to compare broader areas. Making decisions with public, transparent data allows for a more realistic approach to household budgeting.

Put the method to work

Run a free ZIP-level market screen on Areal — home value and rent trends, HUD fair market rent, county income, crime, and an estimated cash flow, with every source shown.

Run a free analysis
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Data from published market indexes, FHFA HPI, Census ACS, HUD Fair Market Rent & FBI CDE. For research only — verify before investing.

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