Explore City Stats Before You Move

Household income and rent come from the U.S. Census Bureau's American Community Survey (ACS) and HUD Fair Market Rent (FMR) datasets, while the cost-of-living index blends Bureau of Labor Statistics Consumer Price Index data, Bureau of Economic Analysis Regional Price Parities, and metro-level price surveys. Each source publishes on its own schedule, and the ACS in particular runs about 6 to 18 months behind, so the latest year shown is usually the prior calendar year (a 2024 view reflects 2023 ACS data). All dollar values are adjusted to real, constant-dollar terms using national CPI, so year-to-year comparisons reflect actual purchasing power rather than headline inflation.

The cost-of-living (COL) index is a household consumption-weighted composite of housing, food, transportation, healthcare, and utilities relative to the national average (100). It reflects what a typical household spends. Price parity (PPP), published by BEA, measures the overall price level of all goods and services in a metro, including business inputs, government purchases, and investment goods, not just household consumption. PPP is broader and used for economic analysis and corporate location decisions. For personal relocation and salary comparisons, the COL index is more relevant because it focuses on household spending categories.

Yes. Salary Equivalent mode provides a COLA-adjusted baseline for salary negotiation when relocating from City A to City B. However, treat it as a starting floor, not a final number. Add a 10 to 20% buffer to account for moving costs, lifestyle changes, market timing, and personal preferences (e.g., desiring a nicer apartment or shorter commute). Also research actual salary ranges for your role in City B using Glassdoor, Levels.fyi, Payscale, or LinkedIn Salary to confirm the required salary is realistic. Some metros have wage ceilings below the COLA-adjusted number due to labor market dynamics or industry concentration. Combine the Explore Cities output with industry-specific salary data and the Salary / Take-Home Pay Calculator (to model after-tax income and compare net purchasing power across states with different tax rates).

The metro median rent burden ratio is calculated as (Median Rent × 12) ÷ Median Household Income. It reflects the middle of the distribution, so half of households have higher burdens and half have lower. Your personal rent burden depends on your actual income and the specific rent you pay, which may differ significantly from the medians. For example, if you earn above the median income and rent a below-median apartment, your burden will be lower than the metro median. Conversely, if you're a recent grad earning below median and renting a median-priced unit, your burden will be higher. Always calculate your own ratio: (Annual Rent) ÷ (Your Gross Annual Income) × 100. Aim to stay below 30% to avoid cost burden; below 25% is ideal for financial flexibility.

No. The Explore Cities tool does not factor in state income taxes, local taxes, sales taxes, or property taxes. The cost-of-living index and salary equivalents reflect gross (pre-tax) purchasing power only. Tax differences across states are substantial: Texas, Florida, and Washington have no state income tax, while California, New York, and New Jersey have rates up to 13.3%, 10.9%, and 10.75% respectively. Use the Salary / Take-Home Pay Calculator to estimate net (after-tax) income in each metro, then compare take-home purchasing power. For example, a $100K salary in Austin (no state tax) nets ~$74K; in San Francisco (9.3% CA tax) it nets ~$66K, an $8K difference that significantly changes the COL equation.

The renter filter excludes homeowner households from income and rent calculations, isolating the subset of households actively competing for rental units. Enable it when you're renting or planning to rent in the target city, as it provides a more accurate view of rental affordability. Homeowners with fixed-rate mortgages (often locked in at low rates years ago) or paid-off homes may have lower housing costs than renters, which skews the median income upward and makes housing appear more affordable than it is for new renters entering the market. The renter filter removes this distortion, showing you the income distribution and rent burden among renter households only. This is especially important in metros with high homeownership rates (e.g., Detroit 68%, Pittsburgh 65%), where the renter market may be much tighter and less affordable than the overall metro statistics suggest.

Metro-level data are statistical aggregates that may not reflect your specific circumstances. (1) Neighborhood variation: rents in downtown vs suburbs can differ by 50%, so use Zillow, Apartments.com, or Craigslist to spot-check actual rents in your target neighborhood. (2) Household composition: a single person vs a family of four has different spending patterns, and the COL index is weighted to average household size. (3) Lifestyle preferences: if you don't own a car, transportation costs are lower, and if you eat out frequently, food costs are higher. (4) Data lag: Census and BLS data carry 6 to 18 month publication delays, so the 'latest year' may be last year's data, and real-time market shocks like a sudden rent spike after a tech company opens aren't captured. (5) Tax differences: state and local taxes are not included. (6) Timing: moving during peak rental season (summer) vs off-season (winter) can change rents by 10 to 15%. Treat Explore Cities data as a baseline for budgeting and negotiation, then supplement with current rental listings, job postings, and local cost-of-living research for the most accurate planning.

Yes. The Compare Cities mode supports multiple metro selections (typically up to 5 to 10 cities depending on screen size and data availability). Select all the metros you're considering (e.g., if you have job offers in Austin, Seattle, Boston, Denver, and Portland), and the tool will display a side-by-side table with COL indices, median rents, median incomes, rent burdens, and deltas for all selected cities. This allows you to rank metros by affordability, identify outliers, and make apples-to-apples comparisons across your shortlist. For deeper analysis of any specific pair, use Salary Equivalent mode to calculate required salary adjustments between your current city and each target city individually.

Explore Cities currently focuses on U.S. metropolitan statistical areas (MSAs) using BLS, Census, and HUD data. For international comparisons, the tool does not include foreign metros directly. However, you can use the Cost of Living Calculator (which supports international cities and PPP adjustments) to compare U.S. metros to foreign cities, then use Explore Cities to narrow down your U.S. shortlist. If you're moving from a foreign city to the U.S., research the COL index and median income for your current city using sources like Numbeo, Expatistan, or Mercer Cost of Living surveys, then manually compare those values to U.S. metros shown in Explore Cities. Always enable PPP adjustment when comparing across countries to normalize currency and purchasing power differences.

You can sort by any single column (COL index, median rent, median income, or rent burden) to rank the list, and you can narrow the set with the renter filter or by selecting specific metros to compare side by side. The table doesn't apply two independent numeric filters simultaneously (for example, 'rent under $1,500 AND income above $80K' as a compound query). The practical workaround is to sort by your primary priority first, say rent burden, then scan down for cities that also clear your second threshold. Because the columns sit next to each other, reading two metrics at once is quick even without a compound filter, and you can shortlist the rows that satisfy both before moving to Compare Cities mode.

Use both, because they serve different purposes. Explore Cities is optimized for <strong>city-level comparison and salary benchmarking</strong>: quickly compare multiple metros, see income percentiles, calculate required salaries for relocation, and analyze rent burdens. It's ideal for initial research and shortlisting cities. The full Cost of Living Calculator is optimized for <strong>detailed budget modeling</strong>: customize spending by category (housing, groceries, transportation, childcare, etc.), override median costs with your actual expenses, include PPP adjustments for international moves, and model specific lifestyle scenarios (e.g., 'I bike instead of drive, eat out 10x/month, have 2 kids in daycare'). Use Explore Cities to narrow down your target metros (top 3 to 5 finalists), then use the Cost of Living Calculator to model your specific budget in each finalist city before making a final decision.