The goal is practical clarity. Use the linked primary sources to verify numbers for your state or metro and follow the checklist at the end to build a local budget that reflects your situation.
Quick answer and what this article covers
Short summary for readers in a hurry
Short answer: on average the cost of living in united states of america is higher than in 2019 and 2020, but whether a given person finds life expensive depends mostly on where they live and their household type. According to federal consumer price measures, prices remained above pre-pandemic levels through 2024 and 2025, raising typical monthly expenses for many households Consumer Price Index (CPI) home page.
How this piece is organized: first we summarize national inflation trends, then show how regional price parities change the picture, and then break down the main cost drivers-housing, healthcare, food, and transportation. Finally we give practical sample budgets and a checklist so you can compare your own situation to primary public sources. For a site overview see this piece.
How to use the numbers and links in this piece
Use the federal links included in each section to check the original tables for your metro or state. For regional comparisons, the BEA regional price parities help translate a national benchmark into a local estimate BEA regional price parities. The article notes which source was used in each paragraph so you can verify details.
National trends: inflation and how baseline prices changed
What CPI measures and why it matters to households
The Consumer Price Index is the standard federal measure of consumer prices. It tracks prices paid by urban consumers for a basket of goods and services, including housing, food, healthcare, transportation, and energy. When CPI rises, typical household costs for those categories increase in aggregate, which is why analysts use it to describe changes in living costs for the average household Consumer Price Index (CPI) home page.
CPI is not a household budget, but a price index. It measures average price movement across a defined basket. Individual households have different spending patterns, so CPI is a baseline that helps compare periods and places rather than a precise personal budget tool.
How cumulative price changes since 2020 affect monthly budgets
Federal CPI data show that consumer prices remained above pre-pandemic levels through 2024 and 2025, which raises typical monthly outlays compared with 2019-2020. That shift means the same nominal income buys less of the typical consumption basket unless wages fully compensate for the price changes Consumer Price Index (CPI) home page.
Practically, sustained price increases most directly affect recurring costs: rent or mortgage payments, grocery bills, health insurance premiums and out-of-pocket medical costs, and fuel or transit expenses. For many households these categories make up the majority of monthly spending, so cumulative CPI changes translate into noticeably higher household budgets even if some prices moderate in the short term.
lookup a local price parity and scale a national budget to a metro
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use BEA RPP for your metro
Regional price differences: where the country is more or less expensive
What regional price parities are and how to read them
BEA regional price parities (RPPs) compare overall price levels across states and metro areas to the national average. An RPP above 100 indicates a higher-than-average price level for the region, while an RPP below 100 indicates lower-than-average prices. RPPs are useful because national averages can obscure local gaps in the cost of goods, services, and especially housing BEA regional price parities.
RPPs cover broad spending categories and are calculated from multiple data inputs. They do not replace local rental listings or neighborhood surveys, but they provide a systematic way to scale a national benchmark to state or metro level comparisons.
Data from regional price parities and family-budget analyses show that many coastal metropolitan areas and some large gateway cities have price levels well above the national average, while parts of the Midwest and many Southern metros are below the national benchmark. Those geographic patterns largely reflect higher housing costs in coastal and gateway metros regional price parities series and family-budget sources.
Use RPPs together with local housing data when comparing specific cities: the RPP gives a broad adjustment, and local rental or ownership listings show what residents would actually pay for a particular unit or neighborhood.
Housing: why it drives most regional cost gaps
How renters and owners experience housing costs differently
Housing is the largest component of household cost differences across regions. Census housing-cost measures and BEA regional price data show that median rents and ownership costs are substantially higher in coastal metros than in many Midwestern and Southern areas. Because housing typically takes the biggest share of a household budget, its variation explains much of why one place feels expensive and another does not Income and Poverty in the United States: 2023.
Renters feel changes in market rents more immediately. Owners face mortgage payments that depend on interest rates, down payment size, and the chosen mortgage term. Even with similar incomes, households that rent in a high-rent metro can pay a higher share of income on housing than homeowners in a lower-cost area, or vice versa, depending on local prices and mortgage conditions.
Stay informed about local priorities
Look first at local housing prices and recent rent trends when judging whether an area is affordable; public housing data and RPPs help translate national benchmarks into local estimates.
Census measures that show where rents and ownership costs are highest
Census housing-cost measures report median rents, median owner costs, and the share of households paying high rent burdens. Those measures consistently show higher median rents and ownership costs in many coastal metros compared with the Midwest and some Southern metros. Because these housing differences are persistent, they remain a primary driver of regional cost gaps Income and Poverty in the United States: 2023.
Forecasting housing costs remains an open question for 2026, since mortgage rate changes, local supply dynamics, and short-term policy actions can alter monthly burdens for renters and prospective buyers. That uncertainty mainly affects first-time buyers and those with tight budgets.
Healthcare spending and out-of-pocket costs are a major and growing share of household spending in the U.S., and state-level differences in premiums and coverage affect monthly budgets. Variations in Medicaid expansion, insurer competition, and local provider pricing mean health-related expenses can differ materially across states U.S. health spending and state variation in costs.
Households with chronic conditions, high deductible plans, or limited employer-covered benefits face higher monthly exposure to health costs. Those differences can push out-of-pocket spending to a significant share of a lower-income household’s budget, changing how affordable a place feels in practice.
Beyond premiums, out-of-pocket costs such as co-pays, deductibles, and prescription expenses can be unpredictable and therefore disruptive to monthly budgets. When assessing local affordability, it helps to include an expected monthly estimate for premiums and a cushion for variable out-of-pocket expenses in a trackable budget, using state-level health cost overviews as a guide U.S. health spending and state variation in costs.
If an area has notably high health premiums or limited provider choices, that factor can outweigh modest differences in housing or groceries for some households, especially those with ongoing medical needs.
Food, groceries and other recurring essentials
USDA food plans and what they show about grocery costs
The USDA Economic Research Service publishes official food plans that give monthly cost benchmarks for food-at-home at four nutrition and cost levels. These plans show how food spending varies by household composition and choice of plan level, offering a practical way to estimate expected grocery costs for different families Official USDA food plans: cost of food at home at four levels, 2024.
Because food is a recurring expense, small differences in weekly grocery spending add up over a month. Choosing a different USDA plan level for a given household type can change the monthly grocery line by a noticeable amount, and those choices interact with local prices and store availability.
Food costs scale with household size and dietary preferences. The USDA plans provide per-household guidance that helps estimate how much a single person, a couple, or a family with children might spend on groceries if they follow a given plan level. Combining a USDA plan estimate with local grocery price checks gives a reasonable grocery budget baseline for a metro area Official USDA food plans: cost of food at home at four levels, 2024.
For most households, food is an important recurring cost but usually smaller than housing. That relative scale is why changes in housing tend to drive headline differences in how expensive a place feels.
Here are three illustrative, sourced budget frameworks that show how the cost-of-living question depends on household type and location. Use RPPs to scale the national totals to your metro and replace the housing line with current local rent or mortgage estimates when possible Family budget and living-wage analyses.
Example 1 – single renter in a high-cost metro: housing (rent) is the largest line. In coastal gateway metros, median rent consumes a large share of income, followed by groceries, transport, and a premium for health coverage depending on employer contributions. Census and BEA data support this pattern for many coastal metros Income and Poverty in the United States: 2023.
Example 2 – two-earner suburban family: with two wages, housing may be a smaller share of total household income, but childcare, healthcare premiums, and transportation for commuting are significant. Scaling a national family budget by a local RPP helps show whether the combined incomes cover essentials after housing and insurance BEA regional price parities.
Example 3 – single-parent lower-income household in a lower-cost area: even in a lower-cost metro, necessities take a larger share of income for lower earners. Budget tools and living-wage analyses show that lower-income households are most exposed to price shocks because housing, food, healthcare, and transport take a greater portion of limited income Family budget and living-wage analyses.
How to adapt a national benchmark to your metro using RPPs and local housing data
Step 1: choose a national budget template for your household type, then multiply the non-housing lines by your metro RPP to adjust for local price levels. Use BEA RPPs for that scaling step BEA regional price parities. For guidance on choosing a template see national budget template.
Step 2: replace the national housing line with current local rent or a mortgage estimate based on local listings and expected interest rates. Census median rent and owner cost data help validate whether the local housing estimate is reasonable compared with national medians Income and Poverty in the United States: 2023.
Step 3: include expected monthly health premiums and a buffer for out-of-pocket costs using state-level health cost overviews as a guide. That buffer can change whether a household can comfortably cover essentials in a given metro U.S. health spending and state variation in costs.
Compare housing first, use BEA RPPs to adjust national benchmarks to your metro, include expected healthcare premiums and out-of-pocket costs, and choose a USDA food plan level that matches your household. These steps help create a realistic monthly budget rather than relying on a single national average BEA regional price parities.
Also check Census housing-cost measures and local rental listings to ground the housing line, and use federal CPI data to understand whether recent price trends have increased typical monthly expenses over your reference year Consumer Price Index (CPI) home page.
Typical mistakes include relying only on a national average, ignoring taxes or insurance, and confusing metro averages with neighborhood-level prices. Avoid these by combining RPP scaling with neighborhood rental or listing checks and including expected healthcare and food costs in your tally Family budget and living-wage analyses.
On average prices are higher than before the pandemic, but whether America is expensive for a particular person depends on region, housing situation, and household composition; housing and health costs often determine the result.
Next steps: pick the national template that fits your household, scale non-housing costs with an RPP, replace housing with a local figure, and include a health cost buffer. The main public sources cited in this article-BLS CPI, BEA RPPs, Census housing data, USDA ERS food plans, KFF health cost overviews, and family budget tools-are the recommended primary references for verification Official USDA food plans: cost of food at home at four levels, 2024.
National price changes, as measured by CPI, raise baseline costs for categories like housing, food, and healthcare. The impact on your monthly budget depends on spending patterns and whether local wages keep pace.
Key public sources are the BLS CPI for national trends, BEA regional price parities for metro and state comparisons, Census housing data for rents and owner costs, USDA food plans for groceries, and KFF for health cost variation.
Start with local housing listings, scale a national budget by the BEA RPP for your metro, and add estimated health premiums and a USDA food plan level for your household.
If you want to drill deeper, use the primary sources cited in this article and scale a national budget to your metro using RPPs and current local housing data.
References
- https://www.bls.gov/cpi/
- https://www.bea.gov/data/prices-inflation/regional-price-parities-state-and-metro-area
- https://www.bea.gov/data/prices-inflation/regional-price-parities-state-and-metro
- https://www.census.gov/library/publications/2024/demo/p60-281.html
- https://www.kff.org/health-costs/
- https://www.ers.usda.gov/data-products/food-plans/
- https://michaelcarbonara.com/contact/
- https://www.epi.org/resources/budget/
- https://fred.stlouisfed.org/series/PANMPRPPALL
- https://taxfoundation.org/data/all/state/purchasing-power-real-value-100/
- https://michaelcarbonara.com/
- https://michaelcarbonara.com/issue/affordable-healthcare/
- https://michaelcarbonara.com/about/

