Shopping Center DataThe crucial data that are needed in order to estimate supportable square footage for the different types of stores or lines of trade that will be included in a shopping center is sales per square foot by type of store and by type of center. When analyzing the feasibility of a particular center and its tenant composition, the analyst needs to estimate the center's sales potential based on the purchasing power available in its trade area. Subsequently, the analyst needs to break down this purchasing power into different lines of trade and types of tenants and stores based on household expenditure surveys that indicate what percentage of disposable income is spent on different lines of trade. Finally, with the estimate of sales potential by line of trade at hand, the analyst needs to estimate the supportable square footage by line of trade using sales per square foot data for the particular type of store or line of trade and the particular type of shopping center considered. Such data and much more are provided by the Dollars & Cents of Shopping Centers. Furthermore, for the analysis of the feasibility of a shopping center development, the analyst needs expected income and expense data for the type of center considered. Notice that income and expense data differ considerably across the different types of centers. Such data are needed in order to be able to estimate the net operating income and cash flows of the development once is completed and starts operations. Such shopping center data are also provided by the Dollars & Cents of Shopping Centers/The SCORE: 2008.
The publication is packed with objective income and expense data from hundreds of shopping centers in the United States and Canada. The data are provided directly from center owners and management companies and are checked for accuracy and quality by competent auditing companies. The book provides shopping center data for open-air and enclosed centers organized by size/type. In particular, the book provides income and expenses for convenience, neighborhood, community, regional, and super-regional centers. It also provides summary reports by region, center types, and age, which present aggregate data for these categories. Furthermore the book includes eight categories of sales, income, and expense data, including sales per square foot, drawn from over 20,000 stores for the different types of retail tenants that are found in the different types of retail centers. The latest editions include some additional data categories, and better organization that provide to the reader quick reference to the different types of data included. For example, some of the new features of the 2008 edition include summary sales data for department stores, discount stores, and all other tenants; table comparing the average GLA of each of 19 tenant categories to the median GLA; disaggregation of utility expenses to expenses for natural gas, electricity, water and sewer, and other; the inclusion of two new tenant types, namely, discount mixed apparel and discount department store; and detailed data on kiosk and non-kiosk tenants.
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