Our Methodology

Cost of Living Index

Our cost of living index uses a national average baseline of 100. A city with an index of 90 is 10% cheaper than the national average, while a city with an index of 120 is 20% more expensive. This makes it easy to compare cities at a glance.

Data Collection

We gather data from multiple authoritative sources to ensure accuracy and comprehensiveness:

• Bureau of Labor Statistics (BLS) — Consumer Price Index data, regional price parities, and employment statistics
• U.S. Census Bureau — American Community Survey data on median incomes, housing costs, and demographics
• Bureau of Economic Analysis (BEA) — Regional economic data and personal consumption expenditures
• HUD Fair Market Rents — Rental cost data by metro area

Category Weights

Our composite cost index weights each expense category based on the typical American household budget:

• Housing (30%) — Rent, mortgage costs, and home values
• Groceries (13%) — Food at home and dining out
• Transportation (12%) — Gas, car insurance, public transit
• Utilities (10%) — Electric, gas, water, internet
• Healthcare (10%) — Insurance premiums, out-of-pocket costs
• Taxes (10%) — State income, sales, and property taxes
• Entertainment and Other (15%) — Recreation, personal care, apparel

Ranking Methodology

Different rankings use tailored criteria. For example, our retirement rankings emphasize healthcare access, tax burden, and climate, while our family rankings weigh school quality and safety more heavily. Each ranking page specifies the criteria used.

Quality of Life Scores

In addition to cost data, we incorporate quality of life indicators including crime rates, education rankings, healthcare access, and climate data. These metrics come from the FBI Uniform Crime Report, U.S. News education rankings, and NOAA climate data.

Update Frequency

Our data is reviewed and updated periodically to reflect the latest available figures. Government data sources typically release annual updates, and we incorporate new data as it becomes available. All figures represent the most recent data at the time of publication.

Limitations

While we strive for accuracy, cost of living can vary significantly within a single city or metro area. Our data represents metro-area averages and may not reflect specific neighborhoods. Individual expenses will vary based on personal lifestyle, family size, and spending habits. We recommend using our tools as a starting point for research, not as the sole basis for financial decisions.

How to Interpret Our Data

When you look at a city's cost of living index on our platform, it is important to understand what the number represents and how to apply it to your own financial situation. A cost index of 95 does not mean that every single item in that city costs 5 percent less than the national average. Rather, it means that the weighted basket of goods and services, based on typical American spending patterns, is collectively 5 percent below the national norm.

Individual categories within a city can diverge significantly from the composite score. For example, a city might have an overall index of 90 but housing costs that are 20 percent below average and grocery costs that are only 2 percent below. If housing is your largest expense, that city would feel even more affordable than the headline number suggests. Conversely, if you spend heavily on dining out and entertainment, a low composite index might not translate into savings in the categories that matter most to you. We encourage users to examine the category-level breakdowns provided on each city and state page to get a more personalized understanding of costs.

It is also valuable to compare our cost index against local salary data. A city with a cost index of 80 and a median income well below the national average may not offer the purchasing power advantage you expect. Our city profiles include median household income figures precisely for this reason, allowing you to evaluate affordability in the context of local earning potential.

Comparing Cities vs. States

Our platform provides cost of living data at both the city and state levels, and it is important to understand the differences between these two perspectives. State-level data offers a broad overview of a region's economic landscape, capturing the average cost of living across all metro areas, suburban communities, and rural areas within the state's borders. This is useful for high-level comparisons and for understanding the general tax and regulatory environment that affects costs statewide.

City-level data, on the other hand, provides much greater granularity. It reflects the specific economic conditions of a metropolitan area, including local housing markets, regional grocery prices, and area-specific utility rates. Because cities within the same state can have vastly different cost profiles, we always recommend drilling down to the city level when you are seriously evaluating a potential move. For instance, living in Houston, Texas is a very different cost experience from living in Austin, Texas, even though both cities are in the same state with the same state tax policies.

Special Considerations for Different Demographics

Cost of living data affects different groups of people in different ways, and we encourage users to interpret our data through the lens of their own circumstances.

Families with children should pay particular attention to housing costs, since families typically need larger homes or apartments. School quality, childcare expenses, and youth activity availability are also critical factors that go beyond what a standard cost index captures. Our family-oriented rankings incorporate these additional dimensions to provide more relevant recommendations.

Retirees often have a fundamentally different spending profile than working-age adults. Healthcare costs take on outsized importance, and state tax treatment of retirement income, including Social Security benefits, pensions, and retirement account withdrawals, can dramatically affect the true cost of living for someone on a fixed income. A state that appears affordable for a working professional might be less advantageous for a retiree if it taxes Social Security benefits or offers limited senior healthcare infrastructure.

Single professionals and young adults may prioritize different factors such as access to nightlife, cultural events, career networking opportunities, and walkable urban neighborhoods. For this group, transportation costs may be lower if they can live without a car, but housing costs in desirable urban cores may be higher than metro-area averages suggest. Our data helps singles and young professionals weigh these trade-offs effectively.

Historical Data and Trends

While our primary focus is on current cost of living conditions, understanding historical trends provides valuable context for making forward-looking decisions. Over the past two decades, housing costs in many American cities have outpaced inflation significantly, particularly in coastal and technology-hub markets. At the same time, cities in the Sun Belt and parts of the Midwest have seen more moderate price growth, maintaining their relative affordability advantage.

Inflation affects different cost categories at different rates. Healthcare costs have risen faster than overall inflation for decades, while the prices of many consumer goods have remained relatively stable or even declined due to global trade and technological efficiency. Understanding these divergent trends helps you anticipate how your cost of living might change over time, which is especially important for retirees and anyone planning a long-term stay in a new location. We are actively working to add more historical trend data and visualizations to our platform so that users can track how costs have evolved in specific cities and states over time.