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: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this material for in-classroom training on the use of CAPI for agricultural surveys targets decision makers, survey managers, questionnaire designers, trainers of field staff and data analysts.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this material for in-classroom training on the use of CAPI for agricultural surveys targets decision makers, survey managers, questionnaire designers, trainers of field staff and data analysts.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: These Guidelines for the compilation of Food Balance Sheets have been developed under the Global Strategy to improve Agricultural and Rural Statistics (GSARS), with the intention to provide countries with a user-friendly handbook that can aid in the construction of country-level Food Balance Sheets (FBS) as a tool for policy analysis.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: The purpose of this handbook on Remote Sensing for Agricultural Statistics is to provide guidelines on the use of remote sensing in the context of agricultural statistics. Since the mid-1970s, remote sensing has been considered a promising technique for improving agricultural statistics. Various applications of remote sensing have taken place on all continents and today, several approaches may be considered mature enough to contribute to the sustainability of agricultural statistics. In the context of the Global Strategy to improve Agricultural and Rural Statistics (hereafter, GSARS or Global Strategy; see World Bank, 2011), remote sensing has been identified as a prime contributor to the localization and geocoding of the sampling units, a point of reference for Master Sampling Frames (MSFs), a methodological improvement in design and estimation terms, as a way to achieve sustainability and as a core data set for indicators linked to land uses and covers.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: This course has been designed to support countries in their data collection, analysis and reporting of SDG Indicator 14.b.1 - Securing sustainable small-scale fisheries: "Progress by countries in the degree of application of a legal/regulatory/policy/institutional framework which recognizes and protects access rights for small-scale fisheries".
Lead authoring unit/office: FAO
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)
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 topics included in this module are the following: Scope of the course; Conceptual framework of the global strategy to improve agricultural and rural statistics and its economic, social and environmental dimensions; Strategic plans for agricultural and rural statistics (SPARS) and National strategies for the development of statistics (NSDS), Users and uses of agricultural statistics.
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. This module is the core of the agricultural statistics course. Its objective is to allow the targeted audience to gain a good understanding of agricultural statistics and basic methodological issues. The following topics are developed: Statistics to be produced: they correspond to the demand for agricultural statistics (what people want to know); Data producers: centralized and decentralized statistical systems; The main sources of agricultural statistics; Statistical units in relation to specific topics; Data collection and the specific features of the agricultural sector.
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. This module describes all the processing and analysis operations on a data set to obtain the desired information from a source such as a census, sample survey or administrative record. It also covers concepts relating to area and yield, resulting in methods of evaluating production and crop forecasting.
Lead authoring unit/office: Statistics Division (ESS)
