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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You can access here all the statistical guidelines and handbooks, technical reports, working papers and methodological documents, and capacity development resources.
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Comments, suggestions and inquiries can be addressed to: [email protected].
Abstract: The development of these guidelines falls under the framework of the Global Strategy to Improve Agricultural and Rural Statistics. These guidelines are the result of a comprehensive effort to develop a standard methodology to design strategic plans for agricultural and rural statistics in line with the NSDS methodology developed by PARIS21. The guidelines present a set of operational tools, methods and good practices that have been developed through a long process, taking advantage of country experiences and existing material on statistics strategic planning developed over the last 10 years. Countries will be expected to use the SPARS as a platform for long-term sustainable development of agricultural and rural statistics, as a coordination platform for producers and data users and as a means to address immediate needs and direct priority assistance. The guidelines will be regularly updated thanks to the feedback and experiences of the countries that are implementing the SPARS
Lead authoring unit/office: Statistics Division (ESS)
Abstract: The development of these guidelines falls under the framework of the Global Strategy to Improve Agricultural and Rural Statistics and builds on the International Household Survey Network methods and practices. This Guide presents a set of operational tools, methods and good practices that are the result of a long process, taking advantage of knowledge from country experiences and existing material developed by the World Bank and PARIS21 on household survey microdata, within the International Household Survey Network.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: This course describes how the information derived from remote sensing is obtained and best used for crop monitoring in a food security context. It outlines what the exact meanings of the products are and shows how their early warning and food availability information contents can be combined efficiently with other sources (e.g. households surveys, market analyses, nutritional surveys, etc.).
Lead authoring unit/office: FAO
Abstract: Prepared in the framework of the Global Strategy to improve Agricultural and Rural Statistics (GSARS), this manual presents some contributions produced as part of a research project on data integration, and a proposal for a master sample frame for agriculture, based on FAO’s experience in the linkage of population and house censuses and agricultural censuses, and on the experience gathered by countries following the guidelines of the World Programme for the Census of Agriculture (2000).
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared in the framework of the Global Strategy to improve Agricultural and Rural Statistics (GSARS), this technical paper on identifying the most appropriate sampling frame for specific landscape types is the result of a comprehensive literature review on the subject, followed by a gap analysis and development of innovative methodological proposals for addressing any issues that emerged.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this technical report on Developing More Efficient and Accurate Methods for the Use of Remote Sensing is the result of a comprehensive literature review on the subject, followed by a gap analysis and, finally, the development of innovative methodological proposals for addressing the various issues arising.
Abstract: This paper, which is part of FAO Statistics Working Paper Series, presents the methodological framework used by FAO’s Statistics Division to now-cast consumer food inflation at regional level. Hybrid ARIMA-GARCH models are estimated for each region, with additional explanatory variables constructed from a large and high-frequency dataset.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: This paper, which is part of FAO Statistics Working Paper Series, proposes a methodology to select indicators in multidimensional assessments, such as the ones required for the measurement of food security. By linking the overarching objectives of the evaluation to the nature of the indicators, this methodology is able to discriminate among the hundreds of indicators proposed.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: This paper, which is part of FAO Statistics Working Paper Series, reports on refinements to the methodology for estimating the prevalence of undernourishment that were adopted during the preparation of the State of Food Insecurity in the World report 2014.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: This paper, which is part of FAO Statistics Working Paper Series, elaborates on some of the methodological aspects linked to assessing food insecurity, with special reference to the practice that FAO has been following in monitoring the state of food insecurity in the world.
Lead authoring unit/office: Statistics Division (ESS)
