The Bureau of Labor Statistics (BLS) publishes an annual Consumer Expenditure Survey that tracks household spending across the US by region, income level, and household type. It is one of the most comprehensive pictures of how American households actually spend their money.
What the BLS data covers
The BLS Consumer Expenditure Survey breaks down household spending across categories including food, housing, transportation, healthcare, entertainment, clothing and household goods. It reports averages by US Census region and metropolitan area.
Key patterns from recent data
- Housing costs (including rent and mortgage) are significantly higher in the Northeast and on the West Coast than elsewhere in the US
- Transport costs vary by region — rural areas tend to spend more on vehicles and fuel
- Food and beverage spending is broadly similar across regions but higher in high-cost metro areas
- Recreation and culture spending is slightly higher in higher-income regions
- Total household expenditure is highest in the Northeast and West and lowest in the Midwest and South
How to use BLS data — and how not to
BLS figures are averages. An average household in your region does not mean a typical or ideal household. They include households across all income levels, sizes and circumstances. Being above or below an average tells you little on its own.
What the data can usefully do is give you a rough sense of whether a particular spending category — say, food, or transport — looks very different from what most households in your area spend. That is useful context, not a verdict.
Using regional context in Ask Fin
Ask Fin uses BLS regional data in its Local Spending Check tool to give you a sense of how your spending patterns compare with typical households in your region. The tool uses soft language — "broadly in line", "slightly above the regional pattern" — because the goal is useful context, not judgment.
General guidance only — not regulated financial advice.
How BLS data is collected
The BLS Consumer Expenditure Survey collects data from American households through quarterly interviews and two-week spending diaries. Around 30,000 consumer units participate each year. The sample is designed to be representative of the US civilian population.
The survey covers all types of household expenditure, grouped into major categories including food, housing, apparel, transportation, healthcare, entertainment, education, insurance and pensions. The same category structure is used year to year, which makes trends comparable over time.
Regional spending patterns — what the data shows
The most consistent finding across recent BLS surveys is the coastal metro premium. Households in the Northeast and West Coast spend significantly more on housing — often 30–50% more than the US median — while the Midwest and South generally record lower overall household expenditure totals.
Transport spending shows a different pattern: rural areas tend to spend more on motor vehicles and fuel than urban areas, reflecting the greater car dependency of regions with less public transit infrastructure.
Using regional data wisely
The most useful application of BLS regional data is not comparison — "am I spending more than average?" — but calibration: understanding which categories are structurally higher in your region and which might genuinely be worth reviewing. A household in New York or San Francisco spending 45% of income on housing faces a structural challenge; a household in the Midwest doing the same likely has more options to explore.
- BLS figures are household averages — a single person and a family of four will have very different absolute spending
- The data is collected annually and published with a lag of around 12–18 months
- Regional figures smooth over significant local variation — spending in Manhattan differs markedly from outer boroughs or suburban areas
- Income level affects spending patterns more than region in most categories