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 Asian Development Bank (ADB) and the Food and Agriculture Organization (FAO) of the United Nations, this handbook is designed to help national statistical officers and other interested readers embrace the efficiencies of CAPI-based data collection to supersede the traditional pen and paper interviewing method. We hope that it contributes to the adoption of other innovative tools and technologies that further strengthen national statistical systems.
Lead authoring unit/office: FAO
Abstract: Prepared by the Asian Development Bank (ADB) and the Food and Agriculture Organization (FAO) of the United Nations, this handbook is designed to help national statistical officers and other interested readers embrace the efficiencies of CAPI-based data collection to supersede the traditional pen and paper interviewing method. We hope that it contributes to the adoption of other innovative tools and technologies that further strengthen national statistical systems.
Lead authoring unit/office: FAO
Abstract: Prepared by the Global Strategy to improve agricultural and rural statistics (GSARS), this AGRIS training aims to provide enumerators with the skills and knowledge necessary to successfully collect high quality AGRIS data. This training plan covers the training essentials (timing, the training team, physical and technical requirements and ways to keep enumerators engaged), the components of training (elements common to all training sessions and those that vary depending on the AGRIS module(s) being presented), and the training schedule.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to improve agricultural and rural statistics (GSARS), this AGRIS training aims to provide enumerators with the skills and knowledge necessary to successfully collect high quality AGRIS data. At the end of this training unit, you will have: an introduction to your fellow enumerators and supervisor; the beginning of a network of resource people to support you during data collection; and an understanding of the importance of your role as an enumerator in ensuring the quality of the data collected.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to improve agricultural and rural statistics (GSARS), this AGRIS training aims to provide enumerators with the skills and knowledge necessary to successfully collect high quality AGRIS data. At the end of this training unit, you will have: knowledge of the Economy (ECO) Module questionnaire’s subject matter; practice in the administration of the ECO Module questionnaire; comprehension of the ECO Module survey methodology. You will also: reinforce your hands-on familiarity with the survey Computer assisted personal interview (CAPI) application for AGRIS; test the usability of the CAPI application for the Core module.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to improve agricultural and rural statistics (GSARS), this AGRIS training aims to provide enumerators with the skills and knowledge necessary to successfully collect high quality AGRIS data. At the end of this training unit, you will have: knowledge of the Core Module questionnaire’s subject matter; practice in the administration of the Core Module questionnaire; comprehension of the Core Module survey methodology. You will also: reinforce your hands-on familiarity with the survey Computer assisted personal interview (CAPI) application for AGRIS; test the usability of the CAPI application for the Core module.
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 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)
Abstract: Prepared by the Global Strategy to improve agricultural and rural statistics (GSARS), this session tackles the different methods and approaches to measure grain losses on the farm occurring during the different stages and operations executed by the farmer. It also briefly discusses the approaches to measuring losses after the grains leave the farm (that is, off-farm losses). Outline of the session: a) Introduction; b) Overview of measurement methods; c) Measuring losses based on farmer declarations; d) Measuring losses based on objective measurements; e) Measuring losses based on visual scales; f) Overview of approaches to off-farm loss measurement.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to improve agricultural and rural statistics (GSARS), this session deals with the objective measurements and analyses of losses performed in laboratories. It presents the different methods and formulas used to calculate losses once the grains taken from the farms reach the laboratory. It also discusses the selection of grains that arrives at the laboratory and the different formulas that could be applied after the selection is done. Outline of the session: a) Introduction; b) Standard Volume/Weight Method (SVM); c) Conventional count and weigh or gravimetric method; d) Modified count and weigh method; e) Thousand Grain Mass Method (TGM); f) Converted percentage damaged method.
Lead authoring unit/office: Statistics Division (ESS)
