Actions for Poultry from the Food Availability database shown in Pounds Date Type: Year; Country: USA; Commodity: Broilers (young chicken): Supply and use; Attribute: Food availability-Per capita availability-Boneless-Pounds Sage Data. Sage Publishing Ltd Sage Data [electronic resource]
Poultry from the Food Availability database shown in Pounds Date Type: Year; Country: USA; Commodity: Broilers (young chicken): Supply and use; Attribute: Food availability-Per capita availability-Boneless-Pounds Sage Data. Sage Publishing Ltd Sage Data [electronic resource]
- Corporate Author
- United States Department of Agriculture
- Published
- Thousand Oaks, CA : Sage Publications, Inc. 2025
Access Online
- Sage Data: ezaccess.libraries.psu.edu
- Summary
- Per capita food availability estimates for poultry products (broilers, mature chicken, and turkeys) are published in several sources. Broilers are young chickens of either sex produced for meat. The terms �broilers,� �fryers,� and �young chickens� are interchangeable. Estimates of per capita availability are published monthly in USDA's World Agricultural Supply and Demand Estimates (WASDE) report. This report contains the latest monthly revisions to the quarterly supply and demand estimates, which form the basis for estimating per capita availability. Historical per capita availability data are reported on a monthly, quarterly, and yearly basis in ERS's Poultry Yearbook. Per capita poultry availability estimates are actual estimates of domestic disappearance (implied consumption or availability) using secondary data sources rather than primary observations of individual consumption. ERS uses a similar procedure to construct supply and disappearance tables for broilers, mature chicken, and turkeys. The first step is to estimate domestic production for the three poultry meats. The domestic production estimates come from NASS's monthly Poultry Slaughter report. This report contains estimates of the domestic production of the three poultry meats on a ready-to-cook (RTC) basis. The estimates for domestic production are multiplied by a coefficient to estimate the amount of production condemned after processing. This estimate is subtracted from overall production to derive net production on an RTC basis. The second step is to estimate poultry meat products in cold storage at the beginning of the period (monthly, quarterly, yearly). Estimates of cold storage holdings come from the NASS Cold Storage report. The third step is to estimate poultry meat imports. These estimates are derived from U.S. Census Bureau data. The data, originally in a large number of categories, are aggregated into estimates of imported broilers, mature chicken, and turkeys. The estimates of net production, beginning stocks, and imports are added together to arrive at the total supply of poultry products available for consumption. Estimates of poultry products exported and ending stocks in cold storage are then subtracted from the total supply figure to estimate implied domestic availability. This figure is then divided by an estimate of the total resident population of the United States plus Armed Forces overseas to derive per capita availability on a carcass-weight basis. This estimate of availability of broilers and mature chickens is a proxy for consumption of whole birds. Since a large percentage of availability is of chicken parts, these estimates are multiplied by a coefficient to arrive at a per capita availability estimate on a retail weight basis. Turkey availability has no conversion factor between RTC and retail weight. The food availability data compiled by the USDA Economic Research Service (ERS) reflect the amount of food available for human consumption in the United States. The dataset includes estimates for over 200 commodities, including individual fruits, vegetables, grains, added sugars and sweeteners, dairy products, nuts, meat, poultry, and seafood. ERS's food availability data are often referred to as food disappearance data because the data represent the resulting food supply after food "disappears" into the food marketing system. ERS calculates the residual of a commodity's total annual available supply after subtracting measurable uses, such as farm inputs (feed and seed), exports, ending stocks, and industrial uses. The annual data series includes per capita food availability estimates, which are useful for studying food consumption trends because they are a proxy for actual food intake. Food availability data measure the use of basic commodities, such as wheat, beef, and shell eggs for food products at the farm level or an early stage of processing. They do not measure food use of highly processed foods (such as bakery products, frozen dinners, and soups) in their finished form. Ingredients of highly processed foods, however, are included as components of less processed foods, such as sugar, flour, fresh vegetables, and fresh meat. The food availability series is based on records of annual commodity flows from production to end uses. This involves the development of supply and disappearance balance sheets for each major commodity from which human foods are produced. In general, the total annual available supply of each commodity consists of the sum of production, imports, and beginning stocks. These three components are either directly measured or estimated by government agencies using sampling and statistical methods. For most commodity categories, measurable nonfood uses are farm inputs (feed and seed), exports, ending stocks, and industrial uses. The amount of food available for human consumption is calculated as the difference between available commodity supplies and nonfood use. In a few cases, supplies for human food use are measured directly and one of the other use components becomes the residual. Per capita food availability is calculated by dividing the annual total food supply during a specific time period by the U.S. total resident population plus Armed Forces overseas in a given year. Yearly population estimates are from the U.S. Census Bureau. For commodities not shipped overseas in substantial amounts, such as fluid milk and cream, ERS uses the resident population as the base. No adjustments are made for changes in the demographic makeup of the population.
- Subject(s)
- ISBN
- 9781544332048 Sage Data CORE
- Type of File/Data
- Statistical data with bibliographic citation and abstract.
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