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.
This interface allows you to search for statistical classifications, guidelines and handbooks, technical reports, working papers and methodological documents, and capacity development resources. You can search by SUBJECT (general, agriculture, forestry, fishery and aquaculture, and natural resources) or use the ADVANCED SEARCH to search by keyword, country, language and lead authoring unit/office. Comments, suggestions and inquiries can be addressed to: [email protected].
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: In 2021, FAO delivered training aimed at building capacity for the use of Earth Observations data and machine learning to produce annual national land cover maps and to extract land cover statistics.
Lead authoring unit/office: Office of Chief Statistician (OCS)
Abstract: In 2021, FAO delivered training aimed at building capacity for the use of Earth Observations data and machine learning to produce annual national land cover maps and to extract land cover statistics.
Lead authoring unit/office: Office of Chief Statistician (OCS)
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: This book aims to strengthen the skills of professionals who use, manage data for the benefit of farmers and farmers organizations by exposing them to the topics of importance of data in the agriculture value chain and how new and existing technologies, products and services can leverage farm level and global data to improve yield, reduce loss, add value and increase profitability and resilience.
Lead authoring unit/office: FAO
Abstract: The overall objective of this virtual training was to provide (government officials responsible for monitoring SDG indicator 2.4.1) capacity development on the methodology, data collection and analysis relevant to sustainable food and agriculture and how to asses data gaps starting from available national and subnational (farm-level) information and associated reporting processes through 3 half-days virtual trainings.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: These guidelines are intended for statisticians and managers in national statistics offices wanting to develop or improve survey programmes for the direct measurement of grain and other food stocks. They provide guidance and tools for direct measurement of food stocks, discuss current and best practices for stock estimation through sample surveys, reflect on conceptual, technical, human and budgetary issues related to stock surveys and provide examples and tools for countries wishing to develop their stock survey programmes.
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 will be described: The agricultural statistics framework; Data sources; Statistics to be produced; Statistical units; Collection methods in relation to new technologies; Processing, analysis and dissemination; Statistics obtained.
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.
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 topics included in this module are the following: Scope of the course; Conceptual framework of the global strategy to improve agricultural and rural statistics and its economic, social and environmental dimensions; Strategic plans for agricultural and rural statistics (SPARS) and National strategies for the development of statistics (NSDS), Users and uses of agricultural statistics.
Lead authoring unit/office: Statistics Division (ESS)
