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Compendium of food consumption statistics from household surveys in developing countries

Volume 2 : Africa,Latin America and Oceania












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    Book (series)
    Compendium of food consumption statistics from household surveys in developing countries
    Volume 1: Asia
    1993
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    This publication aims at providing information on food consumption levels and patterns obtained from household surveys. As such, it replaces the Review of Food Consumption Surveys, which was last issued in 1988. This first issue of the publication presents data not only from the recent surveys but also, in a number of cases, from some undertaken as far back as the 1970's in order to provide some perspective of the changes over time. However, because of the many surveys involved, it is being issued in two volumes: Volume One, covering the developing countries in Asia, and Volume Two, covering the rest of the developing countries in Africa, Latin America and Oceania. Another compendium covering the developed countries will be issued, probably in 1994, following the computerization of all the available survey in the FAO Statistics Division's data base. Subsequently, a single compendium, updating the information, will be periodically issued.
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    Document
    Estimating Food Consumption Patterns by Reconciling Food Balance Sheets and Household Budget Surveys
    dec/14
    2014
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    Food Balance Sheets (FBS) are one of the most important sources of data on food availability for human consumption. This paper presents a method to improve the information on food consumption patterns of FBS by using national household budget surveys (HBS). In this paper, food commodities are categorized into 16 major food groups. For each food group, the contribution to the overall caloric intake is represented in shares. Item group shares of 64 surveys from 51 low and middle income countries are compared with shares from country-specific FBS. Given the countries represented in the data, the analysis evaluates food consumption of over 3 billion persons worldwide. A model based on a cross-entropy measure of information has been developed in order to reconcile aggregate food consumption patterns suggested by FBS and HBS. The latter model accounts for the fact that data from both data sources are prone to measurement errors. Overall, the results of the reconciliation suggest that aver age consumption of cereals, eggs, fish products, pulses and vegetables are likely to be underestimated in FBS, while fruits, meat, milk and sugar products are likely to be overestimated in FBS. Even though the suggested changes in average food consumption are moderate, the results imply considerable relative changes in the aggregate consumption of single food groups. Furthermore, the results imply that the aggregate consumption of fats is 2% higher than currently assumed. The updated consumption patterns provide valuable information from an agro-industrial perspective. Differences in updated consumption pattern with respect to the original FBS might suggest a re-evaluation of FBS elements of the value chain, starting from production and ending at food losses.
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    Book (stand-alone)
    Food data collection in Household Consumption and Expenditure Surveys. Guidelines for low and middle income countries 2018
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    The measurement of food consumption and expenditure is a fundamental component of any analysis of poverty and food security, and hence the importance and timeliness of devoting attention to the topic cannot be overemphasized as the international development community confronts the challenges of monitoring progress in implementing the 2030 Agenda for Sustainable Development. In 2014, the International Household Survey Network published a desk review of the reliability and relevance of survey questions as included in 100 household surveys from low- and middle-income countries. The report was presented in March 2014 at the forty-fifth session of the United Nations Statistical Commission (UNSC), in a seminar organized by the Inter-Agency and Expert Group on Food Security, Agricultural and Rural Statistics (IAEG-AG). The assessment painted a bleak picture in terms of heterogeneity in survey design and overall relevance and reliability of the data being collected. On the positive side, it pointed to many areas in which even marginal changes to survey and questionnaire design could lead to a significant increase in reliability and consequently, great improvements in measurement accuracy. The report, which sparked a lot of interest from development partners and UNSC member countries, prompted IAEG-AG to pursue this area of work with the ultimate objective of developing, validating, and promoting scalable standards for the measurement of food consumption in household surveys. The work started with an expert workshop that took place in Rome in November 2014. Successive versions of the guidelines were drafted and discussed at various IAEG-AG meetings, and in another expert workshop organized in November 2016 in Rome. The guidelines were put together by a joint FAO-World Bank team, with inputs and comments received from representatives of national statistical offices, international organizations, survey practitioners, academics, and experts in different disciplines (statistics, economics, nutrition, food security, and analysis). A list of the main contributors is included in the acknowledgment section. In December 2017 a draft of the guidelines was circulated to 148 National Statistical Offices from low- to high-income countries for comments. The document was revised following that consultation and submitted to UNSC, which endorsed it at its forty-ninth session in March 2018 (under item 3(j) of the agenda, agricultural and rural statistics. The version presented here reflects what was endorsed by the Commission, edited for language. The process received support from the Global Strategy for Agricultural and Rural Statistics. The document is intended to be a reference document for National Statistical Offices, survey practitioners, and national and international agencies designing household surveys that involve the collection of food consumption and expenditure data.

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