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 technical report on Master Sampling Frames describes the field experiments conducted in Nepal.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this technical report reviews the literature related to the monitoring of characteristics of fisheries and anglers. It begins with an overview of why monitoring several dimensions of a fishery is important for the development of effective management plans, and considers aspects that might have particular relevance for developing and emerging economies.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: A pilot survey was conducted in Ghana from October 2016 to March 2017, testing a survey-based approach to measure harvest and post-harvest losses on the farm. Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this document describes the methodological approach that was tested and subsequently adopted.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this Technical Report focuses on the social dimension of rural statistics, offering ideas and possible solutions to improve information on rural populations that is relevant to the formulation of poverty reduction policies.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this Technical Report proposes methods for the collection of data to compile improved measures of selected indicators, based on analyses of existing methods and field-testing of alternatives.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this Technical Report is to introduce a revised version of the short form and the long form of the Woodfuel Supplementary Module (WSM); to describe the proposed methodology to incorporate the WSM into existing surveys; and to describe the indicators of consumption and production of woodfuel that can be derived from the data collected.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this technical report illustrates the quality of current surveys and censuses, indicating those that are more suitable for inclusion of a woodfuel module; and introduces a Woodfuel Supplementary Module that covers the most relevant aspects of woodfuel consumption and production.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this Literature Review shows that agricultural sustainability has been understood largely in its environmental dimensions, that it is affected by socio-economic and biophysical conditions, and that obstacles to sustainable agriculture are different in different countries.
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)
