Generated by DeepSeek V3.2| Food Expenditure Series | |
|---|---|
| Name | Food Expenditure Series |
| Publisher | United States Department of Agriculture |
| Agency | Economic Research Service |
| Frequency | Annual |
| Website | ers.usda.gov |
Food Expenditure Series. The Food Expenditure Series is a comprehensive, long-running dataset compiled by the Economic Research Service (ERS) of the United States Department of Agriculture (USDA) that measures total annual spending on food in the United States. It provides a detailed account of expenditures across various channels, including food at home from grocery stores and supermarkets, and food away from home at establishments like restaurants and fast food outlets. This critical economic indicator is used by policymakers, researchers, and the food industry to analyze consumption patterns, assess the economic health of the agricultural sector, and inform national policy.
The series defines food expenditure as the total consumer outlay for all food and non-alcoholic beverages, capturing both purchases for preparation at home and ready-to-eat meals obtained outside the home. Its scope is notably comprehensive, encompassing spending at traditional retail outlets such as Walmart and Kroger, as well as at foodservice providers ranging from McDonald's to fine-dining establishments like those in New York City. The data also includes expenditures from less traditional sources, including vending machines, school cafeterias, and military commissary operations. This broad definition allows for analysis of shifts in consumer behavior between grocery shopping and dining at chains like Chipotle Mexican Grill or Starbucks.
Data compilation relies on a mixed-methodology approach, synthesizing information from multiple federal surveys and administrative records. Primary sources include the Consumer Expenditure Survey from the Bureau of Labor Statistics and proprietary scanner data from commercial firms like Nielsen Holdings. The ERS integrates these with sales data from the U.S. Census Bureau, particularly from the Economic Census and the Monthly Retail Trade Survey. Statistical modeling, including benchmarking and reconciliation techniques, is employed to ensure consistency and comprehensiveness across the entire food supply chain, from farm gate to final consumer, filling gaps where direct survey data may be insufficient.
Analysis of the series reveals significant long-term economic and social transformations within the United States. A dominant historical trend is the steady rise in the share of spending on food away from home, a shift accelerated by factors like increased participation of women in the workforce, as documented by the Bureau of Labor Statistics, and the expansion of national chains like Subway and Taco Bell. The data clearly shows the impact of economic events, such as spending contractions during the Great Recession and volatile patterns during the COVID-19 pandemic when lockdowns caused a sharp, temporary reversal toward food at home. These trends are often analyzed in relation to indicators like disposable personal income and the Consumer Price Index.
When placed in a global context, the patterns observed in the United States data are contrasted with those from other developed nations. Organizations like the Organisation for Economic Co-operation and Development (OECD) and the Food and Agriculture Organization (FAO) compile similar metrics for countries such as the United Kingdom, Japan, and Germany. Comparisons frequently highlight that the U.S. has one of the highest proportions of food spending dedicated to food away from home, a characteristic shared with nations like Canada and Australia. These cross-national analyses help isolate the effects of unique cultural dining habits, tax policies like the Value-added tax in the European Union, and differing retail structures.
The series serves as a foundational tool for public policy and economic strategy. It is vital for the USDA and Congress in evaluating and designing nutrition assistance programs, including the Supplemental Nutrition Assistance Program (SNAP) and the National School Lunch Program. Economists at the Federal Reserve may reference the data to gauge inflationary pressures within the consumer goods sector. Furthermore, agribusiness firms like Cargill and Tyson Foods, as well as trade associations, utilize the forecasts for market analysis and strategic planning. The data ultimately informs debates on issues ranging from food security and agricultural subsidy programs to public health initiatives addressing obesity.
Category:Economic data Category:Agriculture in the United States Category:Food and drink in the United States