Related items
Showing items related by metadata.
-
Book (stand-alone)Technical bookProcessing 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. -
Book (stand-alone)GuidelineFood data collection in Household Consumption and Expenditure Surveys. Guidelines for low and middle income countries 2018
Also available in:
No results found.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. -
Book (series)Working paperEstimating the prevalence of nutrient inadequacy from household consumption and expenditure surveys 2022
Also available in:
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.
Users also downloaded
Showing related downloaded files
-
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. -
Book (series)Working paperEstimating the food value chain decomposition by industries and primary factors 2024
Also available in:
No results found.This statistics working paper presents an estimation methodology for decomposing food expenditure across the industries and the primary factors of the food value chain (FVC). The approach outlined is based on the Global Food Dollar methodology developed by the Economic Research Service of the United States Department of Agriculture (USDA-ERS) and Cornell University. FAO has enriched the analytical scope of the methodology by adding the industry and primary factors decomposition. Country coverage has also been increased by adapting the methodology to different data types and sources. -
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.