Data Sources
The trusted government and industry sources that power our cost of living comparisons.
Bureau of Labor Statistics (BLS)
The BLS is our primary source for consumer price data. We use their Consumer Price Index (CPI) reports, regional price parities, and employment cost data to calculate the cost of goods and services in each metro area.
- Consumer Price Index (CPI) — Monthly price change data for urban consumers
- Regional Price Parities (RPP) — Price level differences across states and metros
- Occupational Employment and Wage Statistics — Income data by location
U.S. Census Bureau
Census data provides the demographic and housing statistics that underpin our city and state profiles. We rely on the American Community Survey (ACS) for annual estimates between decennial censuses.
- American Community Survey (ACS) — Median household income, housing costs, commute data
- Population Estimates Program — Current population figures
- Housing Vacancy Survey — Rental vacancy rates and homeownership data
Bureau of Economic Analysis (BEA)
The BEA provides regional economic data that helps us understand the broader economic context of each location, including personal income levels and consumption patterns.
- Regional Price Parities — Price level comparisons by state and metro
- Personal Income by State — Income trends and composition
- GDP by State — Economic output and growth metrics
Department of Housing and Urban Development (HUD)
HUD provides Fair Market Rent (FMR) data, which is essential for our rental cost comparisons across metro areas.
- Fair Market Rents — Estimated rental costs by bedroom count for each metro area
- Income Limits — Area median income figures used for housing affordability analysis
Additional Sources
- FBI Uniform Crime Report — Crime rate data used in our quality of life assessments
- NOAA Climate Data — Temperature, precipitation, and sunny days per year for climate comparisons
- Tax Foundation — State tax rate data including income, sales, and property tax rates
- U.S. News & World Report — Education and healthcare rankings incorporated into quality of life scores
Data Accuracy and Updates
We are committed to using the most recent data available from each source. Government agencies typically release annual updates, and we incorporate new data as it becomes available. If you notice any discrepancies or have questions about our data, please do not hesitate to contact us.
How We Cross-Reference Sources
Relying on a single data source, no matter how authoritative, introduces the risk of undetected errors or gaps in coverage. That is why our data pipeline is built around cross-referencing multiple independent sources for every metric we publish. When we calculate a city's housing cost index, for example, we compare HUD Fair Market Rent data against Census Bureau median rent figures and BLS regional price parities. If all three sources align within an acceptable margin, we have high confidence in the result. When they diverge, we investigate further.
Cross-referencing also helps us identify lag in data releases. Government agencies operate on different publication schedules, and economic conditions can change between the time data is collected and the time it is published. By triangulating across sources with different collection periods, we can assess whether a data point reflects current conditions or may be outdated. In cases where a significant time gap exists, we note this in our data documentation so that users can factor the potential lag into their decision-making process.
Our validation process also includes internal consistency checks. We verify that city-level data rolls up logically to state-level aggregates, that cost indexes move in expected directions relative to known economic events, and that relationships between categories remain plausible. For instance, if a city's housing costs suddenly spike without a corresponding increase in regional price parities, we flag the data point for manual review before publishing.
Understanding Government Data Releases
The government data sources we rely on follow well-established methodologies and publication schedules that are important for users to understand. The Bureau of Labor Statistics releases Consumer Price Index data on a monthly basis, providing timely insights into price changes across the economy. However, their Regional Price Parities, which are essential for geographic cost comparisons, are published annually with a significant lag, typically reflecting conditions from one to two years prior.
The U.S. Census Bureau's American Community Survey publishes one-year and five-year estimates. One-year estimates are more current but are only available for areas with populations above 65,000. Five-year estimates cover smaller geographies but represent averaged conditions over a longer period. We use the most granular and recent estimates available for each location, and our data documentation indicates which survey period applies to each metric.
HUD Fair Market Rents are updated annually and represent the 40th percentile of gross rents for standard-quality rental units in each metro area. This means they reflect what a typical renter would pay, excluding luxury and substandard properties. The BEA publishes Regional Price Parities and personal income data on an annual schedule, with preliminary estimates followed by revised figures as more complete data becomes available. We incorporate revisions as they are released to ensure our platform reflects the most accurate figures.
Limitations of Public Data
While government data provides a strong foundation for cost of living analysis, it has inherent limitations that users should be aware of. Federal datasets operate at the metropolitan statistical area level, which means they capture averages across broad geographic regions. Within any given metro area, costs can vary substantially from one neighborhood to another. A metro-area average rent figure, for example, blends expensive downtown districts with more affordable suburban communities, and neither extreme is accurately represented by the average alone.
Government data also tends to underrepresent rapidly changing markets. In cities experiencing rapid population growth or economic transformation, prices can shift faster than annual surveys can capture. New construction, corporate relocations, and migration patterns all influence costs in ways that may not appear in official data for months or even years after the changes occur. Users researching fast-growing cities should supplement our data with current local real estate listings and recent news reports to get the most up-to-date picture.
Certain categories of spending are also difficult to measure precisely with public data. Childcare costs, pet expenses, personal services, and local entertainment prices are not captured in granular detail by federal surveys. While our composite index accounts for these through broader spending categories, individual variation in these areas can be significant.
Our Commitment to Data Integrity
Data integrity is not just a technical concern for us; it is a core value that guides every aspect of how we build and maintain our platform. We recognize that people make significant life decisions based on the information we provide, from choosing where to live and work to planning retirement and family budgets. That responsibility demands the highest standards of accuracy, honesty, and transparency.
When we discover a discrepancy in our data, whether through our own quality checks or through user reports, we follow a documented investigation and correction process. We trace the issue back to its source, determine whether it reflects a data entry error, a source revision, or a methodological issue, and implement the appropriate fix. If a correction materially changes a city's ranking or cost index, we document the change and its cause so that returning users can understand why figures may differ from their previous visit.
We also maintain strict editorial independence from any commercial interests. Our rankings and data presentations are never influenced by advertising, sponsorships, or partnership agreements. Cities and states cannot pay to improve their position in our rankings, and we do not accept compensation for favorable coverage. This independence is essential for maintaining the trust of the millions of Americans who rely on our platform to make informed financial decisions.