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Book (stand-alone)GuidelineFAO/INFOODS Guidelines for Converting Units, Denominators and Expressions. Version 1.0 2012
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Conversion of food data is done in the areas of nutrition (i.e. food composition and dietary assessment) and food safety (exposure assessment), and when reporting analytical data, including their publication in scientific articles. Food composition data are expressed in a variety of ways, depending on national conventions, practices of various institutions and journals requirements. However, to aggregate or compare data from diverse sources, it is often necessary to convert them. -
Book (stand-alone)GuidelineFAO/INFOODS Guidelines for Checking Food Composition Data prior to the Publication of a User Table/Database-Version 1.0 2012
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Food composition data play an essential role in many sectors, including nutrition, health, agriculture, environment, food labelling and trade (Burlingame, 2004; Greenfield and Southgate, 2003; Pennington, 2008). Over the last 25 years, INFOODS has developed many international standards, guidelines and tools to obtain harmonized food composition data. They contain criteria for analytical data, guidelines on component identifiers, data compilation, food nomenclature, interchange and quality evalua tion (INFOODS, 2012a; Greenfield and Southgate, 2003; Klensin et al., 1989; Rand et al., 1991; Truswell et al.,1991). They were supplemented by guidelines from others such as EuroFIR (EuroFIR, 2012a; Westenbrink et al., 2009). However, as there are no guidelines on the validation/verification of data prior to publishing them in a user table/database (DB), INFOODS and FAO decided to develop such guidelines through the INFOODS network. The document was constructed on the assumption that the user t able/DB was developed according to the criteria set by Greenfield and Southgate (2003, pp.14-15) as outlined in Figure 1. It reflects the different stages of food composition database management until the production of user tables/DBs. Checks should be performed at all levels of the food composition database (FCDB) and a final check is recommended before the release of a user table/DB. The checks described in this document are related to compiled/aggregated data before publication in user tables /DBs. The objective of this document is to outline comprehensively the internal checks to be carried out on the food composition data and documentation prior to their publication in the user table/DB (section 3). For those compilers not yet familiar with the compilation and publication procedures of food composition data, a section on general issues (section 2) was added to give a brief overview of important issues which are useful for a better understanding of the checks and for keeping the c hecks as short as possible, i.e. without the need for further explanations. which provide further useful information for those with less experience in database compilation -
Book (series)Working paperResearch on the measurement of post-harvest losses
Minimum losses by commodity and region: insights from the literature
2021Also available in:
No results found.The reduction of agricultural losses, especially among smallholder farmers, should be an essential component of food security strategies in developing countries. Loss reduction strategies should be informed by evidence on optimal loss levels, or the point below which loss reduction efforts become economically unviable, characterized by reduction costs greater than benefits. Information on minimum losses can help provide a benchmark for farm management, formulation of policies, and investment decisions. This study connects information on minimum losses with farming practices or production technologies, to help in assessing the effectiveness of loss reduction practices and of the underlying policies and incentives that promote them. While most empirical research and data collection activities on losses tend to focus on average losses, this paper provides evidence on minimum losses levels for several commodities and regions of the world.
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BookletCorporate general interestFood balance sheets 2010–2021
Global, regional and country trends
2023Also available in:
No results found.The Statistics Division of the Food and Agriculture Organization of the United Nations (FAO) compiles food balance sheet (FBS) statistics for 187 countries, which present a comprehensive picture of the agrifood situation of a country in a specified reference period, showing the pattern of a country's food supply and utilizations. The new release of the 2021 FBS data comprises recompiled time series from 2010 to 2021, using new conversion factors and population estimates.According to the latest data global food supply, measured by the per capita dietary energy supply, increased by 5 percent between 2010 and 2021, to 2 978 kcal/cap/day. -
BookletCorporate general interestFood balance sheets 2010–2022
Global, regional and country trends
2024Also available in:
No results found.The Statistics Division of the Food and Agriculture Organization of the United Nations (FAO) compiles Food Balance Sheet (FBS) statistics for 191 countries, which present a comprehensive picture of the agrifood situation of a country in a specified reference period, showing the pattern of a country's food supply and utilizations.The new release of the 2022 FBS data comprises time series from 2010 to 2022. -
BookletCorporate general interestFood balances 2010–2019
Global, regional and country trends
2022Also available in:
No results found.FAO's Statistics Division compiles Food Balance Sheet (FBS) statistics for 181 countries. FBS present a comprehensive picture of the agrifood situation of a country in a specified reference period, showing the pattern of a country's food supply and utilizations. FAOSTAT data domain disseminates statistics on food balance sheets compiled using the new methodology from 2010 to 2019. The historic time series back to 1961 consist of data derived from the old FBS methodology.