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Food data collection in Household Consumption and Expenditure Surveys. Guidelines for low and middle income countries












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    Food security and food consumption in Samoa based on the analysis of the 2018 Household Income and Expenditure Survey 2020
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    This report is one of the outputs of the Technical Cooperation Programme project (TCP/SAP/3705) aimed at strengthening the capacity of Pacific Island Countries to monitor SDG Target 2.1. The process started in March 2019 with the analysis of the food data collected in the 2018 Household Income and Expenditure survey (HIES) in collaboration with Samoa Bureau of Statistics. The report presents the main results derived from the analysis of the food data and the Food Insecurity Experience Scale data collected in the 2018 HIES to inform current patterns on food security and nutrition in Samoa. Whenever possible indicators are given at national level and for sub-groups of population.
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    Book (series)
    Compendium of food consumption statistics from household surveys in developing countries
    Volume 2 : Africa,Latin America and Oceania
    1994
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    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 divided into two volumes: Volume 1,1 covering the surveys conducted in the developing countries in Asia, and the present Volume 2, covering the surveys conducted in the developing countries of Africa, Latin America and Oceania. Another compendium covering the surveys conducted in developed countries will be issued, probably in 1995, following the computerization of all the available survey data in the FAO Statistics Division's database. Subsequently, a single compendium, updating the information, will be periodically issued.
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    Book (series)
    Estimating the prevalence of nutrient inadequacy from household consumption and expenditure surveys 2022
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    Malnutrition is pervasive in both low- and middle-income countries. Yet, there is a scarcity of food intake data collected at the individual level to describe diets, determine the prevalence of inadequate nutrient consumption in populations, and shed light on how diets contribute to the malnutrition burden. In the absence of nationally representative individual-level food intake surveys, particularly in low- and middle-income countries, dietary data collected in household consumption and expenditure surveys (HCES) are being used as a second-best option to make inferences on the food and nutrient consumption of populations. This paper proposes an innovative approach to estimate variability in nutrient intake that uses food data collected in HCES to estimate the prevalence of nutrient inadequacy in a country. This method builds on the approach developed by FAO to estimate the indicator of inequality used in the Prevalence of Undernourishment used in the global monitoring of food insecurity.

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