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.
Type a keyword in the free text search box or refine your search by keyword, country, language and lead authoring unit/office.
Comments, suggestions and inquiries can be addressed to: [email protected].
Abstract: Country field tests form an integral part of research projects under the Global Strategy to Improve Agricultural and Rural Statistics (GSARS). This technical report presents three field tests on agricultural cost of production statistics.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: FAO will launch an initiative for the development of an information system on damage and losses caused by disasters on the sector and its subsectors (crops, livestock, fisheries and forestry) as part of its commitment to enhancing the resilience of agriculture and rural livelihoods. This paper is part of FAO Statistics Working Paper Series.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: These Guidelines for the Integrated Survey Framework have been developed as a specific topic of the “Technical Report on the Integrated Survey Framework”, within the Research activity carried out by the Global Strategy to improve Agricultural and Rural Statistics. These Guidelines illustrate a statistical method that produces correct estimates with reduced time and costs; in particular, they demonstrate the application of indirect sampling to integrated household surveys for a wide range of topics on the basis of the correspondence between households and holdings, so that these may be observed in various scenarios within a single survey.
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: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), these guidelines describe a method that can be employed to accurately capture the actual contribution of small-scale fisheries and aquaculture to rural communities. In principle, the basic structure of these survey stages follows the concepts adopted by the World Census of Agriculture, including the modular approach, to enhance utility and reduce implementation costs.
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)
Abstract: The primary objective of the course is to illustrate sampling methods for improving routine data collection, which can provide the desired precision of estimates at the lowest possible cost and yet possess a higher degree of accuracy. The design techniques are based on international standards, illustrated with the collection of fisheries statistics and analysis from the region. The specific objectives are: (i) to introduce basic concepts of the importance of fisheries information; (ii) to introduce international standards and concepts in fisheries data collection; (iii) to introduce the basic concepts of sampling and design of routine fisheries data collection schemes; (iv) to introduce basic concepts of statistical data analyses; (v) to introduce basic concepts of data storage and dissemination; and (vi) to provide practical issues and examples relevant to fisheries statistics and data collection.
Lead authoring unit/office: Fisheries Division (NFI)
Abstract: The aim of this course is to provide practical guidance for implementing a cost-effective census strategy by coordinating the population and housing census with the agricultural census.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: The course introduces spatial planning, identifying its rationale and benefits, its key principles and the main stages in the spatial planning process. It represents a useful reference for all those who want to promote and implement spatial planning in their countries as an instrument to reconcile and harmonize different, often conflicting, public and private interests on land, fisheries and forests.
Lead authoring unit/office: FAO
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this Technical Report on Cost-Effectiveness of Remote Sensing for Agricultural Statistics in Developing and Emerging Economies carries out a cost-efficiency analysis on the use of remote sensing through a literature review and the analysis of case studies in a series of 31 developing and emerging countries.
Lead authoring unit/office: Statistics Division (ESS)
