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Measuring Hunger at subnational level

The FAO approach applied to household survey 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.
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    Undernourishment and critical food poverty: Indicators at national and sub-national levels 2009
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    Indicators to measure food poverty and undernourishment are useful for understanding food insecurity at national level and within countries. This paper discusses two indicators: proportion of undernourishment, and proportion of critical food poverty. Both indicators are based on nutritional underlying criteria and derived from food consumption and income data collected in national household surveys. Proportion of undernourishment is the Millennium Development Goals (MDG) indicator number 1.9, which is based on the distribution of dietary energy consumption (DEC); the proportion of critical food poverty is an indicator that links undernourishment to food poverty, based on the distribution of income (INC). The link is the concept of minimum dietary energy requirement (MDER) used in the FAO methodology as the cutoff value in the distribution of dietary energy consumption for estimating undernourishment. The critical food poverty line for estimating the proporti on of critical food poverty is the critical income corresponding to the cost of the MDER, based on a balanced diet on energy-yielding nutrients accessible to low-income population groups. The macronutrient-balanced diet uses the recommendations of a Joint WHO/ FAO Expert Consultation on Diet, Nutrition and the Prevention of Chronic Diseases (2002, Geneva) as its point of reference. Examples illustrate the results of both indicators for a sample of countries in different continents.
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    Book (stand-alone)
    Integrating surveys with geospatial data through small area estimation to disaggregate SDG indicators at subnational level
    Case study on SDG Indicators 2.3.1 and 2.3.2
    2023
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    The present technical report illustrates a case study on the adoption of small area estimation techniques to produce granular sub-national estimates of SDG Indicators 2.3.1 and 2.3.2, by integrating survey microdata with auxiliary information retrieved from various trustworthy geospatial information systems. The technical report provides practical guidance to national statistical offices and other institutions wanting to implement small area estimation techniques on SDG Indicators 2.3.1 and 2.3.2 or similar indicators based on surveys microdata.

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