Esri provides a Retail Demand by Industry 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 Esri Demographics.
The Esri Retail Demand by Industry dataset is an extension of Esri's Consumer Spending (by product and service) estimates. It uses data from the CEX and Diary Surveys to estimate where consumer budget dollars are allocated.
This dataset estimates consumer spending using the following North American Industry Classification System (NAICS) categories:
- All 12 three-digit subsectors in Retail Trade (44-45)
- The Food Services & Drinking Places subsector (722)
- 30 four-digit industry groups
Note:
See the Attribute summaries section in the U.S. Bureau of Labor Statistics topic to learn more about the attributes in this dataset.
Release date
The Retail Demand by Industry dataset was updated in June 2026; the vintage is 2026.
Methodology
See the Esri Retail Demand by Industry methodology to learn how this dataset was created and is updated.
Compare Retail Demand by Industry to Consumer Spending
While the Consumer Spending dataset lists (broadly) the products or services a regional household is likely to purchase; the Retail Demand by Industry dataset shows where they are likely to purchase them.
Esri's Retail Demand by Industry estimates provide an alternative view of spending potential based on the industries where market transactions are likely to occur. This dataset includes annual total industry expenditures, annual average industry potential spending per household, and an industry-specific Spending Potential Index (SPI). The total industry expenditures value represents the potential aggregate spending by all regional households within an industry.
Sample questions and use cases
Esri's Retail Demand by Industry data can be used to highlight where consumers are spending their money. This data is used to analyze demand for specific industries like food, apparel, electronics, or health care. Retail Demand by Industry can be examined at different geographic levels, from entire cities to individual neighborhoods. It is often used to compare spending potential between different areas to identify optimal locations for new businesses.
Sample questions that can be answered using Retail Demand by Industry data may include the following:
- Which areas have the highest potential for a new grocery store based on household food spending?
- Where are the best locations to open a high-end clothing boutique based on per capita spending on apparel?
- Which neighborhoods have the highest demand for consumer electronics?
- How does the demand for a certain industry compare between different neighborhoods?
- Which areas have a high concentration of consumers likely to spend on a particular industry category?
Example use cases for Retail Demand by Industry data include the following:
 | Site selection for new stores—Industry or location analysts can use the Retail Demand by Industry dataset to pinpoint the best location for a new store based on regional spending trends and preferences combined with factors like population density, income levels, and existing competition. |
 | Improve targeted marketing campaigns—Marketing strategists can combine the Retail Demand by Industry data with Consumer Spending data, and Tapestry market segmentation to tailor marketing campaigns based on the unique characteristics of consumers in different geographic regions. |
Related links
See the Related links section in the United States topic for Esri's supporting documentation.