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.
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Comments, suggestions and inquiries can be addressed to: [email protected].
Abstract: At the heart of this product is the introduction of Shiny RIMA and its advantages as a tool for the monitoring and measurement of resilience. Particularly, this guidance note focuses on today’s relevance of the resilience index measurement and analysis (RIMA), adopted by FAO in 2008, and how Shiny RIMA facilitates resilience analysis. For policymakers and especially for households in risk-prone environments, evaluating resilience and changes over time is deeply meaningful. This document, therefore, aims at shedding light on the improvements that Shiny RIMA can bring to resilience analysis.
Lead authoring unit/office: FAO
Abstract: Monitoring public spending devoted to food and agriculture is a critical policy analysis tool to better understand agricultural public expenditure and how it affects agricultural development, food security and economic growth. This course will equip you with the skills to carry out your public expenditure analysis, looking at total amounts and breakdown of spending. This will allow you to better monitor areas that are underinvested or those that have higher returns on investment, identify budget bottlenecks and prioritize spending, in line with national development objectives. The analysis and results can then be used to shape and influence policymaking on food and agriculture expenditure and investments.
Lead authoring unit/office: FAO
Abstract: Knowing how policies influence prices at different stages of the value chain, such as at producer, wholesale and retail level, is fundamental to determine if changes in policy are needed to encourage production or ensure food security. Through price incentives indicators, we can monitor the effects of agricultural policies to see whether they incentivise - or disincentivise - farmers or traders to produce or market an agricultural commodity. This course explains how to produce these indicators, what data you need and how to calculate and analyse them in order to shape and optimise public policy for agri-food systems transformation.
Lead authoring unit/office: FAO
Abstract: This document reflects the latest reference metadata information available on SDG-indicator 2.5.1.b "Number of animal genetic resources for food and agriculture secured in medium or long term conservation facilities". Last updated: March 2021.
Lead authoring unit/office: FAO
Abstract: Applying the Degree of Urbanisation — A methodological manual to define cities, towns and rural areas for international comparisons has been produced in close collaboration by six organisations — the European Commission, the Food and Agriculture Organization of the United Nations (FAO), the United Nations Human Settlements Programme (UN-Habitat), the International Labour Organization (ILO), the Organisation for Economic Co-operation and Development (OECD) and The World Bank. The manual is intended to complement and not replace the definitions used by national statistical offices (NSOs) and ministries. It has been designed principally as a guide for data producers, suppliers and statisticians so that they have the necessary information to implement the methodology and ensure coherency within their data collections. It may also be of interest to users of subnational statistics so they may better understand, interpret and use official subnational statistics for taking informed decisions and policymaking. See also: GHSL - Global Human Settlement Layer and elearning course "The Degree of Urbanisation" from the EU Academy.
Lead authoring unit/office: FAO
Abstract: This book aims to strengthen the skills of professionals who use, manage data for the benefit of farmers and farmers organizations by exposing them to the topics of importance of data in the agriculture value chain and how new and existing technologies, products and services can leverage farm level and global data to improve yield, reduce loss, add value and increase profitability and resilience.
Lead authoring unit/office: FAO
Abstract: This document reflects the latest reference metadata information available on SDG-indicator 2.5.1.a "Number of palnt genetic resources for food and agriculture secured in medium or long term conservation facilities". Last updated: March 2021.
Lead authoring unit/office: FAO
Abstract: This document reflects the latest reference metadata information available on SDG-indicator 2.1.1 "Prevalence of undernourishment". Last updated: February 2021.
Lead authoring unit/office: FAO
Abstract: This document reflects the latest reference metadata information available on SDG-indicator 2.1.2 "Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale". Last updated: February 2021.
Lead authoring unit/office: FAO
Abstract: This document reflects the latest reference metadata information available on SDG-indicator 2.3.1 "Volume of production per labour unit by classes of farming / pastoral / forestry enterprise size". Last updated: February 2021.
Lead authoring unit/office: FAO
