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: This course has been developed to guide countries in reporting on Indicators 15.1.1 and 15.2.1. It illustrates the rationale of the indicators, the definitions and methodologies on which monitoring activities are based, and explains the process and the tools available for compiling data related to the two indicators through the Global Forest Resources Assessment (FRA) Programme.
Lead authoring unit/office: FAO
Abstract: This document contains a comprehensive list of terms and definitions as well as explanatory notes for FRA 2020 reporting variables.
Lead authoring unit/office: Forestry Division (NFO)
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: Given the importance of the livestock sector’s contribution to the reduction of poverty and improvement of global human health, the Global Strategy has implemented a line of research on Improving methods for estimating livestock production and productivity, one of the key priorities of the Research Program. These Guidelines overlap to some extent with the final technical report on Improving methods for estimating livestock production and productivity, produced by the University of New England (UNE), Australia. In addition to the findings presented in the technical reports of the research line, further additional operational inputs from relevant literature were also used to develop these Guidelines. These Guidelines are intended to be a reference document providing country statisticians with technical and operational guidance on various aspects of livestock production and productivity statistics, in a broad range of country conditions, with particular attention being paid to developing countries. This document addresses an important gap, given that the most recent FAO publication on the subject dates back to 1992 (FAO, 1992).
Lead authoring unit/office: Statistics Division (ESS)
Abstract: These Guidelines are the result of a research project undertaken within the Global Strategy to improve Agricultural and Rural Statistics (GSARS), a statistical capacity-building initiative whose Global Office is hosted by the Statistics Division of FAO. The Guidelines build upon methodologies presented in other papers, technical reports and manuals published by FAO and other organizations. They provide recent findings on the measurement of harvest and post-harvest losses in developing countries.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: This document provides information about the country reporting process, including an introduction to the new FRA 2020 on-line reporting platform.
Lead authoring unit/office: Forestry Division (NFO)
Abstract: This course has been developed to support countries in the analysis and reporting for SDG Indicators 2.5.1 and 2.5.2. These indicators measure the achievement of SDG target 2.5, which focuses on maintaining genetic diversity of seeds, cultivated plants and farmed and domesticated animals and their related wild species. The course illustrates the fundamental concepts upon which the methodology is based.
Lead authoring unit/office: FAO
Abstract: Prepared by the Global Strategy to improve agricultural and rural statistics (GSARS), this material for in-classroom training on the measurement of harvest and post-harvest losses for food grain targets decision makers, survey managers, questionnaire designers, trainers of field staff and data analysts interested or involved in the measurement of food losses. The course package includes: This user guide, which can be used as a course syllabus; A set of six PowerPoint presentations on the following topics: 1) Conceptual framework and definitions 2) Measuring grain losses on the farm 3) Analyses of losses at the lab 4) Sampling design 5) Loss assessment through experimental design or field trials 6) Loss assessment through modelling.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to improve agricultural and rural statistics (GSARS), this module aims to introduce the concepts used in food loss measurement, and inform the audience about the benefits of and need to assess losses through the value chain of a chosen crop. Outline of the session: a) Introduction; b) Concepts and definitions; c) Identifying loss “hotspots” or critical loss points; d) Example of other loss assessments.
Lead authoring unit/office: Statistics Division (ESS)
