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: 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 and allows monitoring the status and progressr of Sustainable Development Goals (SDG) indicators. SDG 5.a1 measures women’s ownership rights and control over agricultural land. Through this indicator it is possible to assess the extent of women’s disadvantages in ownership and tenure rights over agricultural land, providing a basis for policy measures aimed at securing women equal opportunities and access to economic resources. This brief is the first analysis that employs a harmonized methodology for measuring tenure rights over agricultural land based on RuLIS data.
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: The global indicator on water stress tracks the level of pressure that human activities exert over natural freshwater resources, indicating the environmental sustainability of the use of water resources. A high level of water stress has negative effects on social and economic development, increasing competition and potential conflict among users. This calls for effective supply and demand management policies. Securing environmental flow requirements is essential to maintaining ecosystem health, resilient, and available for future generations. This indicator addresses the environmental component of target 6.4. In this report, you can learn more about the progress on the level of water stress globally, by country, and by major basin. More information and the methodological guidance can be found at: www.fao.org/sustainable-development-goals/ indicators/642 This report is part of a series that tracks progress towards the various targets set out in SDG 6 using the SDG global indicators. To learn more about water and sanitation in the 2030 Agenda for Sustainable Development, and the Integrated Monitoring Initiative for SDG 6, visit our website: www.sdg6monitoring.org
Lead authoring unit/office: Land and Water Division (NSL)
Abstract: The global indicator on water-use efficiency tracks to what extent a country’s economic growth is dependent on the use of water resources, and enables policy and decision-makers to target interventions at sectors with high water use and low levels of improved efficiency over time. This indicator addresses the economic component of target 6.4. In this report, you can learn more about the global and country progress on water-use efficiency. More information and methodological guidance can be found at: www.fao.org/sustainable-development-goals/ indicators/641 This report is part of a series that tracks progress towards the various targets set out in SDG 6 using the SDG global indicators. To learn more about water and sanitation in the 2030 Agenda for Sustainable Development, and the Integrated Monitoring Initiative for SDG 6, visit our website: www.sdg6monitoring.org
Lead authoring unit/office: Land and Water Division (NSL)
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)
Abstract: In 2019, FAO conducted a workshop for the Pacific region to raise awareness on SDG 14.b and the important linkages to relevant regional and global frameworks, as well as to help strengthen capacities of member countries to collect and compile relevant data and information for reporting on SDG indicator 14.b.1. The workshop recommended that further guidance is needed to assist Pacific Island Member Countries to better understand and to consequently improve reporting on the SDG 14.b.1 indicator. The internationally agreed methodology for reporting on SDG indicator 14.b.1 is based on countries’ responses to three questions found in the online FAO Code of Conduct for Responsible Fisheries (CCRF) survey. The guidance document therefore provides detailed, practical guidance in the context of the Pacific, on the process for responding to the three FAO CCRF survey questions relating to SDG indicator 14.b.1, highlighting important links to relevant information including Pacific regional frameworks on coastal fisheries.
Lead authoring unit/office: Fisheries Division (NFI)
Abstract: The reduction of agricultural losses, especially among smallholder farmers, should be an essential component of food security strategies in developing countries. Loss reduction strategies should be informed by evidence on optimal loss levels, or the point below which loss reduction efforts become economically unviable, characterized by reduction costs greater than benefits. Information on minimum losses can help provide a benchmark for farm management, formulation of policies, and investment decisions. This study connects information on minimum losses with farming practices or production technologies, to help in assessing the effectiveness of loss reduction practices and of the underlying policies and incentives that promote them. While most empirical research and data collection activities on losses tend to focus on average losses, this paper provides evidence on minimum losses levels for several commodities and regions of the world.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Little research has been conducted on the association of food insecurity, particularly at the moderate level, and dietary consumption in low- and middle-income countries. This study expands on previous works by considering cross-country comparable measures of food insecurity that are calibrated against the global Food Insecurity Experience Scale (FIES). The FAO Statistics Division has been publishing estimates of the prevalence of food insecurity, based on the FIES, since 2017. The FIES is the first standardized measure, of people's direct experiences of food insecurity, appropriate for application on a global scale. The prevalence of moderate or severe food insecurity based on the FIES is one of the official SDG indicators (2.1.2). The objective of this study is to explore the relationship between the severity of food insecurity, as measured with the FIES (or an analogous experience-based food insecurity scale calibrated to the global reference scale), and dietary intake using microdata from four middle-income countries from different world regions: Kenya, Mexico, Samoa, and Sudan.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: This paper provides an overview of the endorsed methodology of the indicator by the Inter-Agency and Expert Group on SDG indicators (IAEG-SDG). Importantly, it provides a protocol for the collection of the required data via a dedicated survey questionnaire.
Lead authoring unit/office: Statistics Division (ESS)
