City data guide · cost of living

Understanding Cost of Living in US Cities

Learn how to compare cost of living between US cities using Census ACS income, home values, rent, and poverty data. A practical guide for relocation decisions.

Published March 22, 2026 • Based on Census ACS and BEA data

The headline finding

58% of 28,416 tracked cities have a median rent more than 10% below the $1,425 typical-large-city benchmark, while 26% run more than 10% above it.

58%
more than 10% below typical rent
16%
within 10% of typical rent
26%
more than 10% above typical rent

Read live from Census ACS median gross rent across all 28,416 qualifying cities, same $1,425 benchmark the cost-of-living calculator uses.

How rent compares to the typical-large-city benchmark

Share of tracked cities vs. the $1,425 reference rent

% of cities

What this shows 58% of tracked cities run well below the $1,425 benchmark rent, 16% sit near it, and 26% run well above it.

Source U.S. Census Bureau ACS 5-Year Estimates (2023) As of 2023
Key Takeaway

Cost of living is more than housing. A salary that feels generous in one city may barely cover basics in another. The most revealing metric is what you keep after housing, taxes, and necessities — not what you earn or what homes cost in isolation.

Why Cost of Living Is Hard to Compare

Cost of living varies dramatically across US cities, but comparing it is surprisingly difficult. A salary of $70,000 affords a comfortable lifestyle in some cities and barely covers rent in others. The challenge is that "cost of living" is not a single number but a basket of expenses that vary independently: housing, groceries, transportation, healthcare, utilities, and taxes.

Most online cost-of-living calculators use proprietary indexes with opaque methodologies. Census ACS data provides transparent, verifiable metrics — median income, home values, rent, and poverty rates — that enable genuine comparison. This guide explains which metrics matter most and how to combine them for a complete picture.

Metric 1: Median Household Income

Median household income tells you what a typical household actually earns in a city. The national median is approximately $75,000.

What it tells you: Local income levels provide context for housing costs and overall affordability. A city where median income is $85,000 and median home value is $200,000 (ratio 2.35) is genuinely affordable. A city where income is $50,000 and homes cost $200,000 (ratio 4.0) is moderately strained.

What it doesn't tell you: Median income does not tell you what YOUR income would be in that city. If you are relocating with a location-independent salary, the local median is less relevant. If you will need a local job, research salary levels in your field specifically.

How to use it: On city profile pages, compare median income to median home value and rent. If you earn above the local median, you will likely find the city affordable. If below, dig deeper into the housing market's lower end.

Metric 2: Housing Costs (Home Value and Rent)

Housing is typically 25–35% of household spending and the single biggest cost-of-living variable between cities.

What it tells you: Median home value reflects the purchase market; median gross rent reflects the rental market. Together they show what housing actually costs in a city. The home-value-to-income ratio (below 3.0 = affordable, above 5.0 = strained) is the single most useful affordability number.

What it doesn't tell you: Medians represent the middle of the market. If you need a 4-bedroom home for a large family, the median 2-bedroom price is not relevant. Property taxes, HOA fees, and insurance can add 20–40% to the true cost of homeownership and are not captured in home value figures.

How to use it: Use the comparison tool to put housing metrics from two cities side by side, or the affordability finder to match cities to your budget. Rent figures come from HUD Fair Market Rents.

Across all 25,963 tracked cities
55%ratio below 3.0 (affordable)
32%ratio 3.0-5.0 (moderate)
14%ratio above 5.0 (strained)

Average home-value-to-income ratio: 3.3.

How we calculate this

For every tracked city with both a median home value and a positive median income on record, we divide home value by income and bucket the result: below 3.0 = affordable, 3.0–5.0 = moderate, above 5.0 = strained. The average ratio is the plain mean across all 25,963 qualifying cities. See the methodology page for the full source-to-figure lineage.

Metric 3: Poverty Rate as a Warning Signal

The poverty rate provides a critical quality check on affordability claims.

What it tells you: Cities with low housing costs AND high poverty rates (above 15%) are often cheap because the local economy is weak, not because they offer good value. The ideal combination is affordable housing with low poverty (below 10%), indicating a healthy economy that simply has not been inflated by a housing bubble.

What it doesn't tell you: The federal poverty threshold is a national standard that does not adjust for local cost of living. A family at 150% of poverty in rural Mississippi may be more comfortable than a family at 200% of poverty in San Francisco. Use it as a relative comparison between cities, not as an absolute measure.

How to use it: On every city profile page, check the poverty rate alongside housing costs. Cities in the sweet spot — affordable housing, low poverty, healthy labor force participation — are genuine finds. Cross-reference with our lowest poverty rankings.

Beyond Census Data: What Else Affects Cost of Living

  • State and local taxes: No-income-tax states (Texas, Florida, Nevada, Tennessee) save 5–13% of income, but often compensate with higher property or sales taxes.
  • Groceries and utilities: BEA Regional Price Parities show that food and utilities can vary 10–25% across metros. See our methodology for how these metro-level price indexes are sourced.
  • Transportation: Cities with poor public transit require a car, adding $8,000–$12,000/year per vehicle in total ownership costs.
  • Healthcare: Insurance premiums and out-of-pocket costs vary by state. ACA marketplace rates differ significantly across rating areas.

What This Means for You: A Practical Framework

Step 1 — Calculate your own numbers. Start with your actual income and monthly expenses. Compare what percentage goes to housing, taxes, and necessities in your current city versus candidates.

Step 2 — Screen cities by affordability ratio. Use PlainCities data to find cities where the home-value-to-income ratio matches your budget. Shortlist 10–15 candidates.

Step 3 — Check economic health. Filter for cities with poverty rates below 10% and healthy labor force participation. This eliminates "cheap but struggling" locations.

Step 4 — Factor in tax and hidden costs. Research state income tax, property tax rates, and insurance costs for your shortlisted cities.

Step 5 — Compare head to head. Use the comparison tool to evaluate your top 3–5 cities across all dimensions. Then visit to confirm what the data suggests.

Frequently Asked Questions

How do I compare cost of living between two cities?

Compare median household income, median home value, and the home-value-to-income ratio. Also check poverty rates as a quality signal. For a fuller picture, pair Census data with BEA Regional Price Parities.

What Census data is most useful for cost-of-living analysis?

Median household income, median home value, median gross rent, and poverty rate from the American Community Survey are the most useful Census indicators. Together they capture earning power, housing costs, and economic stress.

Is median home value the same as cost of living?

No. Housing is the largest component, but cost of living also includes groceries, transportation, healthcare, utilities, and taxes. BEA Regional Price Parities capture these broader costs at the metro level.

What to do with this data

Rent and home value tell different parts of the same story.

Median rent and home value are city-wide averages and don't capture neighborhood-level variation, property taxes, or non-housing costs like groceries and transportation.

Next steps and related reading

For deeper analysis, walk through the methodology page, review the editorial and data-vintage notes, and cross-reference our other guides for adjacent topics. If you find a specific data point that needs correction or expansion, use the contact form. PlainCities checks reports against the cited source and documents substantive updates. Where the underlying source agency publishes corrections, those propagate within the next refresh cycle declared in the manifest.

The affordability-ratio statistics in the FAQ above are queried live from Census ACS source data; the worked example below is a labeled illustrative scenario, not a specific city's figures. See our editorial standards & corrections policy, the methodology behind these numbers, or report a data error.