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No Thumbnail AvailableBook (stand-alone)Participatory management and gender issues in non- wood forest products development 1995
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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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