Measuring Hunger at subnational level

Measuring Hunger at subnational level

The FAO approach applied to household survey data

Year of publication 2008

Product type Document

Edition 1

Synopsis (short abstract) This manual provides a set of guidelines to professionals involved in the estimation of food security statistics using food consumption data collected in National Household Surveys (NHS). It contains statistical procedures and tools to derive food security statistics, including the prevalence of food deprivation (hunger) at national and sub national levels. These sub national estimates allow the identification and locations of food insecure groups and likely underlying factors. The manua l also includes suggestions on how to report on these subjects, having in mind policy makers and other stakeholders responsible for hunger reduction policies and programmes as final users.

Language English

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Document

The FAO parametric versus the IFPRI non-parametric approach to estimating the Prevalence of Undernourishment:
Issues Relating to the Use of Household Level Data from National Household Surveys
2007

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A non-parametric approach suggested by researchers from the International Food Policy Research Institute (IFPRI) for measuring food deprivation (undernourishment) is not an improvement to the current FAO parametric approach. This is mainly due to flaws arising from the use of an inappropriate methodological framework and the reliance on single household data from national household surveys (NHS) that are subject to undesirable sources of variation. FAO’s parametric approach is still th e only choice for estimating the prevalence of undernourishment for the purpose of monitoring hunger reduction at country, regional and global levels. The FAO approach estimates the average food consumption parameter from national food balances such as those from the FBS compiled and prepared by FAO on yearly basis. The FBS is the only data source for global monitoring. The parameter on inequality in food access is derived from NHS data, which are collected less frequently. For estim ating the prevalence of undernourishment at subnational levels and identifying population groups at high risk of food insecurity, countries are applying the FAO method to derive both the average and the inequality parameters from the NHS data.
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Monitoring hunger: Indicators at global and subnational levels 2009

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This paper presents three different hunger indicators and outlines how they can be used to assess the extent of foodinsecurity inpopulationgroups globally andwithin countries at community, regional, or other subnational levels. Hunger refers to the supply, access, consumption, andintake of foodat levels that are insufficient to fulfill human requirements. If the requirements are not met through the adequate absorption and use of essential nutrients, food deprivation and undernutrition occur.
Book (stand-alone)

Deriving Food Security Information fromNational Household Budget Surveys
Experiences, Achievements, Challenges
2008

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The introductory paper in Part 1 summarizes the efforts and lessons learned from experiences in participating countries to improve food security statistics. Part 2 deals with food security estimates performed at national and sub-national levels in four countries. The papers of Cambodia and the Philippines are examples of food security statistics with gender analysis, while the Lao PDR and Mozambique papers are examples of sub-national analysis. Part 3 addresses measurement approaches of food acquisition and food consumption for the purpose of estimating food security statistics. The examples of Armenia, Cape Verde and Kenya depict detailed effects of how food data are collected on estimates of food security statistics in different settings. Part 4 reviews the policy implications of food security statistics on agriculture in Palestine and food security statistics trends in Moldova. Part 5 shows examples of enhanced analyses using panel data on food consumption in T ajikistan while linking child nutritional status with food security statistics in Georgia. Part 6 proposes methodological approaches for improving food security statistics for policy analysis; the first paper discusses household resilience to food insecurity using Palestinian data, while the last paper describes the linkage between critical food poverty and food deprivation. Finally, Part 7 provides a glossary of selected terminology related to food security statistics.