ShoppingCenters Database| Environics Analytics
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ShoppingCenters

ShoppingCenters provides site location information for over 52,000 centers across the U.S., including center type, status, size, and anchor stores. The data also includes detailed information on over 368,000 tenants. Many retailers and developers use ShoppingCenters for site planning, competitive analysis, and spatial interaction models to determine the effects of co-tenants on sales.

ShoppingCenters is built using data from the Directory of Major Malls and Competitive Analytics Professionals (CAP). The Directory of Major Malls database is the primary source of large shopping center data, while CAP is the primary source for smaller shopping centers. Data from both sources are merged and duplicate records are eliminated to create a unified view of shopping centers and their tenants across the U.S.

Point-level and geo-summarized data can be accessed through our ENVISION platform. In ENVISION, users can identify the top three anchor stores and tenants using the “Location Lists” tool. Users can also access the ShoppingCenters Summary report, which presents counts of shopping centers within any trade area by mall type, gross leasable area, number of parking spaces, year opened, and other key attributes.

What’s new?

This release includes updates to field naming conventions, file organization, and added geographic attributes. These updates affect field names only. A variable ID lookup table has been included with the Q1 2026 release to help users map previous variable IDs to their updated equivalents and update any existing reports, queries, or automated processes.

Three geographic name fields have been added to provide additional location context:

  • STNAME (State Name)
  • CDPNAME (Census Designated Place Name)
  • MCDNAME (Minor Civil Division Name)

Geographic fields have also been reorganized within the delivery files, and record sorting has been updated to provide a more logical file structure.


How it’s used 

  • Shopping center management companies can analyze their competitors and trade areas using a broad set of criteria, including the number of stores, parking availability, and the year the property was last remodeled.
  • Mall operators can combine ShoppingCenters location data with Consumer Buying Power™ or Retail Market Power® to better understand the market potential surrounding their properties.
  • Retailers can identify shopping centers by size, existing anchor stores, and tenants to reveal opportunities that match their expansion strategy.

Sample questions it can answer

  • Which super-regional shopping centers are located within an hour’s drive of my center?
  • What are the largest anchor stores for any shopping center in the Los Angeles DMA?
  • How many stores, on average, do neighborhood malls have in Fairfax County, VA?
  • How many parking spaces, on average, do community shopping centers have in Houston?

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