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: This paper, which is part of FAO Statistics Working Paper Series, delves into the rationale of the Food Loss Index, presenting the various elements of its methodology. It contains a set of definitional framework and scope of the index, it illustrates the rationale for estimating losses as the percentage of food quantities removed from the supply chain. The final section of the paper summarizes FAO’s approach to food loss data.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: This publication, which is part of FAO Statistical Development Series, is a compendium of reviews of country agricultural censuses conducted during the WCA 2010 round (which covers the period 2006–2015) and their main results. Apart from providing information on historical background, legal, institutional frameworks and international collaboration, the publication also provides an overview of the census staff, reference and enumeration periods, scope and coverage, methodological modalities, frame, data collection methods, questionnaires used, new technology used, data processing and archiving, and census data quality and dissemination. Data sources and contact information is provided for each country. These concise two-page overviews of national censuses present a unique panorama of country practices on agricultural censuses to which national census agencies can refer when planning their censuses.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to improve agricultural and rural statistics (GSARS), this AGRIS training aims to provide enumerators with the skills and knowledge necessary to successfully collect high quality AGRIS data. This training plan covers the training essentials (timing, the training team, physical and technical requirements and ways to keep enumerators engaged), the components of training (elements common to all training sessions and those that vary depending on the AGRIS module(s) being presented), and the training schedule.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to improve agricultural and rural statistics (GSARS), this AGRIS training aims to provide enumerators with the skills and knowledge necessary to successfully collect high quality AGRIS data. At the end of this training unit, you will have: an introduction to your fellow enumerators and supervisor; the beginning of a network of resource people to support you during data collection; and an understanding of the importance of your role as an enumerator in ensuring the quality of the data collected.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to improve agricultural and rural statistics (GSARS), this AGRIS training aims to provide enumerators with the skills and knowledge necessary to successfully collect high quality AGRIS data. At the end of this training unit, you will have: knowledge of the Economy (ECO) Module questionnaire’s subject matter; practice in the administration of the ECO Module questionnaire; comprehension of the ECO Module survey methodology. You will also: reinforce your hands-on familiarity with the survey Computer assisted personal interview (CAPI) application for AGRIS; test the usability of the CAPI application for the Core module.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to improve agricultural and rural statistics (GSARS), this AGRIS training aims to provide enumerators with the skills and knowledge necessary to successfully collect high quality AGRIS data. At the end of this training unit, you will have: knowledge of the Core Module questionnaire’s subject matter; practice in the administration of the Core Module questionnaire; comprehension of the Core Module survey methodology. You will also: reinforce your hands-on familiarity with the survey Computer assisted personal interview (CAPI) application for AGRIS; test the usability of the CAPI application for the Core module.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Developed by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), the ultimate goal of this document is to provide operational guidance to developing countries on how to set up an effective Administrative Data System for Agricultural Statistics (ADSAS), as well as on the improvement, use and integration of administrative data in the national statistical system. The concept of ADSAS refers to the set of all administrative institutions producing administrative agricultural data that may be used for the purposes of agricultural statistics and providing them to the national institution in charge of agricultural statistics for official use and publication.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Developed by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), the AGRIS handbook presents the rationale of the system, focusing on the new needs and challenges in surveying farms in the 21st century. In this handbook, the link with SDGs is acknowledged, as the proposed AGRIS Generic Questionnaires will generate basic data for monitoring directly four SDG indicators and provide essential information for another 15 SDG indicators.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), these Guidelines on data collection for national statistics on forest products aim to present and discuss best practices with respect to the collection, compilation and dissemination of statistics on forest products statistics.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), the purpose of these Guidelines is to develop a tool named the Woodfuel Supplementary Module (WSM), to be incorporated in existing national household surveys. The ultimate goal is to enable developing countries to gather accurate data on woodfuel production and consumption, the sustainability of its production, and related socio-economic and health outcomes.
Lead authoring unit/office: Statistics Division (ESS)
