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Book (series)Estimating the prevalence of nutrient inadequacy from household consumption and expenditure surveys 2022
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No results found.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. -
Book (stand-alone)Food security and food consumption in Samoa based on the analysis of the 2018 Household Income and Expenditure Survey 2020
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No results found.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. -
Book (stand-alone)Processing food consumption data from household consumption and expenditure surveys (HCES)
Guidelines for countries collecting data in line with the United Nations Statistical Commission-endorsed guidelines on food data collection in HCES
2025Also available in:
No results found.The food data processing guidelines presented in this document provide some basic principles to adopt when transforming the food data collected in household consumption and expenditure surveys (HCES) to data ready for poverty or food security analysis (among other things). The goal is to enable more and more timely, consistent and reliable statistics derived from food consumption data, while also improving the quality and transparency of data processing.The first part presents food consumption modules and provides some useful principles and general methods to consider before starting work. The analyst needs to assess the data collection tools and other available information before embarking on processing the data. Furthermore, the analyst should decide on the overall approach to cleaning the data.The second part provides a step-by-step description of food data processing, following 11 steps that describe how to bring the food consumption data from its raw form, as collected in the survey, to transformed data ready to be used for statistical analysis. The document was produced under the aegis of the United Nations Committee of Experts on Food Security, Agricultural and Rural Statistics (UN-CEAG), which reports to the United Nations Statistical Commission. It was prepared by members of the UN-CEAG task team on food security and consumption statistics, and with several rounds of consultation with a large group of experts from national statistical offices, international organisations and academia.
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