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: 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: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this Handbook aims to serve as a guide for statisticians from National Statistical Services seeking to improve their data collection methods to produce crop statistics, and to become the new reference document for estimating crop area, yield and production.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this training material is designed for managers, statisticians, sampling experts, GIS specialists and professional staff from the National Statistical Offices and statistical units of the Ministries of Agriculture. It may also be used to train students in agricultural statistics as well as targeted trainers or technical assistance providers in statistical training centres, Regional Economic Communities and regional and subregional organizations specialized in statistical development. This user guide has been prepared to guide the users through this training material.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this training material is designed for managers, statisticians, sampling experts, GIS specialists and professional staff from the National Statistical Offices and statistical units of the Ministries of Agriculture. It may also be used to train students in agricultural statistics as well as targeted trainers or technical assistance providers in statistical training centres, Regional Economic Communities and regional and subregional organizations specialized in statistical development. This session aims to a) Introduce the concept of Master Sampling Frame (MSF); b) Inform the audience about the benefits of constructing and using an MSF; and c) Advocate for an agricultural survey system based on a single Master Sampling Frame.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this training material is designed for managers, statisticians, sampling experts, GIS specialists and professional staff from the National Statistical Offices and statistical units of the Ministries of Agriculture. This session aims to: a) Introduce the concept of MSF; b) Inform the audience about the benefit of constructing and using an MSF; and c) Provide guidelines for the construction, maintenance and use of Master Sampling Frames (MSFs) in agricultural statistics.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this training material is designed for managers, statisticians, sampling experts, GIS specialists and professional staff from the National Statistical Offices and statistical units of the Ministries of Agriculture. It may also be used to train students in agricultural statistics as well as targeted trainers or technical assistance providers in statistical training centres, Regional Economic Communities and regional and subregional organizations specialized in statistical development.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this training material is designed for managers, statisticians, sampling experts, GIS specialists and professional staff from the National Statistical Offices and statistical units of the Ministries of Agriculture. The objectives of the presentation is to inform the audience on: the diversity of countries’ situations and national factors that guided the choice of particular options for building sampling frames for agriculture and using them as master sampling frame (MSF); and the lessons learnt by countries in building and using an MSF.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this training material is designed for managers, statisticians, sampling experts, GIS specialists and professional staff from the National Statistical Offices and statistical units of the Ministries of Agriculture. At the end of this session, the audience will: a) Be familiar with the recommended steps when developing an MSF; and b) Understand the background information, competencies, time and resources investments required when implementing an MSF.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this training material is designed for managers, statisticians, sampling experts, GIS specialists and professional staff from the National Statistical Offices and statistical units of the Ministries of Agriculture.The objectives of this presentation are to: a) Discuss the types of master sampling frames and data sources; b) Discuss the advantages and disadvantages of using an Area frame as an MSF; c) Discuss the advantages and disadvantages of using an List frame as an MSF; and d) Discuss the advantages and disadvantages of using a Multiple frame as an MSF.
Lead authoring unit/office: Statistics Division (ESS)
