Esri provides a Consumer Spending advanced demographics dataset for the United States. This dataset is developed by Esri and includes source material supplied by the U.S. Bureau of Labor Statistics Consumer Expenditure (CEX) and Diary Surveys. Visit Where to find ArcGIS Data to learn more about using advanced demographics.
Source material from the U.S. Bureau of Labor Statistics (BLS) is used to revise the relative importance of goods and services in the market related to the Consumer Price Index. This is included as part of Esri's model to estimate current spending potential.
The Consumer Spending dataset provides insights into how household budgets are typically allocated across a range of data categories. The dataset contains current-year and five-year forecasts of consumer spending by product or service. Esri's output includes a total aggregate amount spent by all households, average spending per household, and a Spending Potential Index (SPI).
Release date
The Consumer Spending dataset was updated in June 2025; the vintage is 2025/2030.
Data categories
The Esri Consumer Spending dataset includes details about the products and services that consumers purchase. The dataset includes information about hundreds of items in the following categories:
- Alcoholic Beverages
- Apparel & Services
- Education
- Entertainment/Recreation
- Financial
- Food at Home
- Food Away from Home
- Health Care
- Household Goods
- Household Services
- Housing
- Life & Other Insurance/Pensions & Social Security
- Miscellaneous Expenses
- Personal Care
- Total Expenditures
- Transportation excluding Trips
- Travel
Note:
See the Attribute summaries section in the U.S. Bureau of Labor Statistics topic to learn more about these categories.
Sample questions and use cases
Esri Consumer Spending data can be used to support market research, identify new target customers, and help develop new products. This data is most useful to regional or local marketing and business development professionals trying to gauge the products, services, and businesses most likely to appeal to regional consumers.
Sample questions that can be answered using Consumer Spending data may include the following:
- How does the spending on a particular category compare across different neighborhoods?
- What is the market saturation for a certain type of business in a given area?
- How does consumer spending vary based on age, income, or lifestyle factors?
- Where is the best location to open a new store based on local consumer spending patterns?
- How can advertising be optimized to reach consumers with the highest spending potential in a particular area?
Example use cases for Consumer Spending data include the following:
 | Gauge demand and competition—Market and business analysts can use the Consumer Spending dataset to understand a region's customer base and what they spend their money on. This dataset can help users compare and analyze data across industries to evaluate demand and competition. Consumer Spending can also be used to help identify cross-promotional opportunities or to look at regional habits to see whether regional consumers are disproportionately drawn to specific products or business categories. |
 | Identify target customers—Sales strategists can use the Spending Potential Index (SPI) to identify customers with similar preferences or to identify potential customers within specific industries or regions. |
Related links
Refer to the following content:
- See the United States Related links for the U.S. data catalog, release notes, information about purchasing reports or stand-alone datasets, and to learn about the credits needed to run reports.
- 2025/2030 Esri Consumer Spending Methodology Statement (ArcGIS StoryMaps) or PDF
- Spending sample reports