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: 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 allocation of costs in complex cropping and mixed farming systems.
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 modeling approaches for the allocation of 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 allocation of pre-production costs in multi-year enterprises.
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 determination of costs and revenues for dairy cattle.
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 treatment of uncertainty in the results.
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 data dissemination.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Developed by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), these Guidelines are intended to be a reference document providing technical and operational guidance on various aspects of the Enumeration of Nomadic and Semi-Nomadic (Transhumant) Livestock in various country conditions, with particular attention being paid to developing countries. It will address an important gap, because the most recent FAO publication on the subject dates back to 1992.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: This version of the Handbook on Agricultural Cost of Production Statistics was prepared under the aegis of the Global Strategy to Improve Agricultural and Rural Statistics (Global Strategy), an initiative endorsed by the United Nations Statistical Commission in 2010. This Handbook presents guidelines and recommendations for designing and implementing a statistical program on cost of production (CoP) in agriculture at the country level. This Handbook may serve as a useful reference tool for agricultural statisticians and economists to build on or to adapt existing programmes for estimating agricultural costs of production, and for analysts to understand the nature and limitations of data from which final indicators are derived.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: These Guidelines were developed within the framework of the Global Strategy to Improve Agricultural and Rural Statistics. The publication aims to support countries’ capacity development and to facilitate their participation in the international governance mechanisms of standards and classifications, thus ensuring the sustainability of agricultural statistics worldwide. The Guidelines bring together comprehensive information on statistical classifications, in particular those used for agricultural statistics, and provide a convenient reference framework for the application of international standards at national level. The Guidelines were drafted following a capacity development approach, and have been conceived as a practical tool that would be easy to apply. Some best practices and experiences from countries and regions are also presented in the Annex to this publication.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: This Handbook on Master Sampling Frames for Agriculture has been prepared within the framework of the Global Strategy to Improve Agricultural and Rural Statistics (Global Strategy). The Global Strategy is an initiative endorsed in 2010 by the United Nations Statistical Commission. It provides a framework and a blueprint to meet current and emerging data requirements and the needs of policymakers and other data users. Its goal is to contribute to greater food security, reduced food price volatility, higher incomes and greater well-being for rural populations, through evidence-based policies. The Global Strategy is centred upon 3 pillars: (1) establishing a minimum set of core data (2) integrating agriculture into National Statistical Systems (NSSs) and (3) fostering the sustainability of the statistical system through governance and statistical capacity building.
Lead authoring unit/office: Statistics Division (ESS)
