In response to a growing demand for high-quality and internationally-comparable statistics, FAO develops, implements and promotes methods and standards to guide national data producers in generating and using sound statistics. In particular, the Organization is committed to provide national statistical systems with internationally recognized definitions, concepts and classifications as well as methodological guidance for the production of high quality statistics related to food and agriculture.
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Abstract: This report presents the results of a collaboration between FAO and the Oxford Poverty and Human Development Initiative (OPHI), at the University of Oxford. The first part of the report proposes a framework for measuring multidimensional poverty in rural areas and describes the motivation for the Rural Multidimensional Poverty Index (R-MPI) proposal, which departs from the established global Multidimensional Poverty Index (global MPI), first designed in 2010 as an international measure of acute poverty covering over 100 developing countries by adding modifications in the dimensions and embedded indicators. The second part of this report presents an empirical test of the proposed R-MPI, using data from four household surveys conducted in Ethiopia, Malawi, the Niger, and Nigeria which are harmonized within the Rural Livelihoods Information System (RuLIS).
Lead authoring unit/office: Statistics Division (ESS)
Abstract: 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.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: This paper is part of a series detailing new methodologies for estimating key components of agri-food systems emissions, with a view to disseminate the information in FAOSTAT. It describes methods for estimating greenhouse gas (GHG) emissions from fossil fuel-based energy use in agri-food systems processes outside agricultural land, i.e. those associated with pre- and post-production activities – in an effort to inform countries of the environmental impacts of agri-food systems and the possible options to reduce them.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: RuLIS is a tool to support policies for reducing rural poverty, jointly developed by the Food and Agriculture Organization of the United Nations (FAO) Statistics Division, the World Bank and the International Fund for Agricultural Development (IFAD). RuLIS brings together harmonized indicators and comparable data across countries and over time on rural incomes, livelihoods and rural development. Using the surveys that are processed as part of the RuLIS database project, this brief explores patterns and trends in rural employment for women and youth with a focus on agriculture in 16 low-income and lower-middle-income countries around the world: 11 from sub-Saharan Africa, two from East Asia and the Pacific, two from Latin America and the Caribbean, and one from Central Asia.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: RuLIS is a tool to support policies for reducing rural poverty, jointly developed by the Food and Agriculture Organization of the United Nations (FAO) Statistics Division, the World Bank and the International Fund for Agricultural Development (IFAD). RuLIS brings together harmonized indicators and comparable data across countries and over time on rural incomes, livelihoods and rural development. This brief uses data from RuLIS to estimate the contribution of income from crop and livestock production to households’ total annual income. The shares in total income are also analysed across expenditure quintiles. The brief aims at exploring the importance of income from on-farm agricultural sources in rural livelihoods.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: RuLIS is a tool to support policies for reducing rural poverty, jointly developed by the Food and Agriculture Organization of the United Nations (FAO) Statistics Division, the World Bank and the International Fund for Agricultural Development (IFAD). RuLIS brings together harmonized indicators and comparable data across countries and over time on rural incomes, livelihoods and rural development. Using the RuLIS data, this brief focuses on the observations made in the adoption of agricultural inputs, along with improved technology such as irrigation, and mechanised tools among crop farm households in sub-Saharan Africa.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: RuLIS is a tool to support policies for reducing rural poverty, jointly developed by the Food and Agriculture Organization of the United Nations (FAO) Statistics Division, the World Bank and the International Fund for Agricultural Development (IFAD). RuLIS brings together harmonized indicators and comparable data across countries and over time on rural incomes, livelihoods and rural development. Using the RuLIS data, this brief focuses on weather and geophysical shocks, and crop or livestock disease-related shocks, along with the coping strategies used by the affected households.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: This paper is part of a series detailing novel methodologies for estimating key components of food systems emissions, with a view to disseminate the information in FAOSTAT. It provides a methodology for estimating the GHG emissions associated with emissions from waste in the food system (e.g., food-related processes in landfills, incineration, wastewater management processes), in an effort to inform countries of the environmental impacts and possible options to reduce them.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: This paper is the first in a series of ongoing and planned efforts to build on current knowledge and develop methodologies for estimating new components of food systems emissions, with a view to disseminate the information in FAOSTAT. It provides a methodology for estimating the GHG emissions associated with historic and current domestic food transport, in an effort to inform countries of the environmental impact of their food distribution systems. Our efforts respond to the call of the upcoming Food Systems Summit to characterize the role of food and agriculture to accelerate achievement of the Sustainable Development Goals. In particular, they align well with Goal 12 to ensure “sustainable consumption and production patterns’’, specifically Target 12.2, “achieve the sustainable management and efficient use of natural resources” and Indicator 12.2.1, which monitors the “material footprint, material footprint per capita, and material footprint per GDP” of different products. Last updated date 20/09/2021, see corrigendum
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Virtual Training Series conducted by the FAO Statistics Division (ESS) on SDG indicator 2.4.1, "Proportion of Agricultural Area under Productive and Sustainable Agriculture”.
Lead authoring unit/office: Statistics Division (ESS)
