![]() The Technical Bulletin provides detailed information on the data sources, methodology, and data product revisions: Measuring the Value of the U.S. Note that the source data and methods for the national-level estimates were comprehensively revised in 2018, resulting in a break from previously published food expenditures data from 1997 forward. Changes to the 2017 Economic Census resulted in revisions to the FES data files (additional details are provided in the Documentation). With the release of the 2017 Economic Census, the revised estimates were replaced with final estimates in 2022. State-level FES estimates lag 2 years and are typically released in late fall. National annual data for the previous year are typically released in early June, while monthly data updates are typically released June through February between the 17th and the 20th of the month. ![]() The FES is a valuable tool for government agencies, academics, and private sector stakeholders to assess and track developments in consumer food purchasing behaviors and the food supply. State-level expenditures are allocated annually for FAH and FAFH-benchmarked to the national-level estimates, with a 2-year lag. In addition to the annual estimates, sales of food at home (FAH) and food away from home (FAFH) are available on a monthly basis-benchmarked to the annual estimates, with each annual revision. National-level food expenditures are allocated annually between four types of products from various outlets and three types of purchasers and users. the value of food produced at home, donated, and furnished to employees and institutionalized persons.įood expenditure data are estimates at the national and State level.the value of food acquired-including food and beverage sales (as well as taxes and tips), and.food system-quantifying the value of food acquired in the United States by type of product, outlet, and purchaser. ![]() ![]() The USDA, Economic Research Service (ERS) Food Expenditure Series (FES) is a comprehensive data set that measures the U.S. ![]()
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