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: 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: Prepared by the Global Strategy to improve agricultural and rural statistics, this training material aims to provide basic knowledge and skills in agricultural statistics to data producers, in particular to statisticians with no or limited background in agriculture statistics, and to economists or agronomists with some basic knowledge in statistics. The following topics will be covered: Economic accounts for agriculture and environmental-economic accounts (subnational and national level); Costs of production statistics; Post-harvest losses: types of post-harvest losses; methods of estimating post-harvest losses; loss estimation and magnitude; factors influencing post-harvest losses; impacts of post-harvest losses. Agricultural producer prices and price indexes (monthly and annual); Food security and food balance sheets.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: The overall objective of the training on AgCoP is to strengthen the technical capacity of statistical producers (statistical offices and other institutions) to apply relevant methods and standards in the compilation of agricultural cost of production statistics. This users’ guide describes the intended objectives, content and target audience of this training material. It provides recommendations on organizational aspects related to the organization of training on AgCoP. Examples of course content and possible agenda are provided in an appendix.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this training material on the estimation of CoP targets statisticians, analysts and data producers from the National Statistical System (NSOs or statistical departments within the Ministry of Agriculture, for example) as well as from other public or private institutions that are either producers or users of information on CoP. This training module covers the main concepts of agricultural cost of production statistics.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this training material on the estimation of CoP targets statisticians, analysts and data producers from the National Statistical System (NSOs or statistical departments within the Ministry of Agriculture, for example) as well as from other public or private institutions that are either producers or users of information on CoP. This training module covers the uses and users of costs of production statistics: farmers and agricultural markets, system of national accounts, research, government and policy makers.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this training material on the estimation of CoP targets statisticians, analysts and data producers from the National Statistical System (NSOs or statistical departments within the Ministry of Agriculture, for example) as well as from other public or private institutions that are either producers or users of information on CoP. This training module covers the data collection methods: surveys, censuses, typical farm approaches, identifying the advantages and limitations of each approach.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this training material on the estimation of CoP targets statisticians, analysts and data producers from the National Statistical System (NSOs or statistical departments within the Ministry of Agriculture, for example) as well as from other public or private institutions that are either producers or users of information on CoP. This training module covers the typical farms and hybrid approaches.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this training material on the estimation of CoP targets statisticians, analysts and data producers from the National Statistical System (NSOs or statistical departments within the Ministry of Agriculture, for example) as well as from other public or private institutions that are either producers or users of information on CoP. This training module covers the sample design strategies.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this training material on the estimation of CoP targets statisticians, analysts and data producers from the National Statistical System (NSOs or statistical departments within the Ministry of Agriculture, for example) as well as from other public or private institutions that are either producers or users of information on CoP. This training module covers cash costs.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this training material on the estimation of CoP targets statisticians, analysts and data producers from the National Statistical System (NSOs or statistical departments within the Ministry of Agriculture, for example) as well as from other public or private institutions that are either producers or users of information on CoP. This training module covers the estimation of costs of paid and unpaid labour.
Lead authoring unit/office: Statistics Division (ESS)
