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: The national forest monitoring system (NFMS) assessment tool has been developed under the project “Building global capacity to increase transparency in the forest sector (CBIT-Forest)” implemented by Food and Agriculture Organization of the United Nations (FAO) and funded by the Capacity-Building Initiative for Transparency (CBIT) trust fund of the Global Environment Facility (GEF). The tool aims to assist countries in carrying out a comprehensive capacity assessment of forest monitoring across three complementary themes – institutional arrangements, measurement and estimation, and reporting and verification.
Lead authoring unit/office: Forestry Division (NFO)
Abstract: The CWP Handbook covers the concepts, definitions, classifications and data exchange protocols – and not least the codes as applied to fishery statistics globally. Many of these concepts and definitions are applied in a wider context, but the user is advised to check the validity of such applications. The handbook indicates the principles applied by the international agencies and no attempt has been made to include details of national systems, many of which, having been developed for specific national purposes, may differ from those employed internationally.
Lead authoring unit/office: Fisheries Division (NFI)
Abstract: This e-learning course provides an overview of the System of Environmental Economic Accounting (SEEA) Central Framework, the statistical standard to measure the relationship between the economy and the environment. The System of Environmental-Economic Accounting 2012—Central Framework is a multipurpose conceptual framework for measuring the interactions between the environment and the economy. By providing an internationally agreed standard with agreed concepts, definitions and classifications, the SEEA is an invaluable tool for compiling integrated statistics on the economy and the environment and deriving coherent and comparable indicators to measure progress towards sustainable development.
Lead authoring unit/office: United Nations Statistics Division (UNSD)
Abstract: The objective of this course is to learn about the Enhanced Transparency Framework (EFT) under the Paris Agreement. It will be useful to those wishing to understand the importance of forest-related data collection, analysis and dissemination in meeting the Enhanced Transparency Framework requirements.
Lead authoring unit/office: Forestry Division (NFO)
Abstract: The course provides guidance on the rationale and the main characteristics of Indicator 6.4.1, and on how to compute the two dimensions constituting the indicator: the hydrologic and the economic component. It also highlights possible challenges related to data availability, and the impact that monitoring results may have on national decision-making and identification of development policies.
Lead authoring unit/office: FAO
Abstract: This course focuses on SDG Indicator 2.1.1, which is one of two indicators that focus on food insecurity. The PoU is an estimate of the proportion of the population facing serious food deprivation, and is derived from official national level information on food supply and consumption, and energy needs. This course has been developed to support countries in analysis and reporting for Indicator 2.1.1.
Lead authoring unit/office: FAO
Abstract: In the context of reporting on the SDG Indicator 2.1.2, this course introduces the Food Insecurity Experience Scale (FIES) and explains how it can be used to measure food security. The course provides guidance on the collection and analysis of data, and on how the information provided by the FIES can be used to inform and guide policy.
Lead authoring unit/office: FAO
Abstract: Volume 2 is a revised and updated edition of “Conducting Agricultural Censuses and Surveys”, published by FAO in 1996. The revision is opportune not only in view of the recent publication of the new census programme and methodology but also in view of the substantial changes witnessed in the census technological environment over the last two decades. The availability of digital, mobile and more affordable tools for data capture, geo-positioning, remote sensing imaging, digital archiving and online dissemination have provided new cost-effective alternatives to traditional ways of conducting the agricultural census. This publication is part of FAO Statistical Development Series.
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: This page contains the Web-based resources cited in the WCA Operational Guidelines (Volume 2) ordered by chapter and paragraph. These resources include relevant specialized methodological publications and actual country examples. They intend to illustrate or provide more guidance on certain implementation aspects of agricultural census as well as to learn from experience on how to overcome practical issues.
Lead authoring unit/office: Statistics Division (ESS)
