These Guidelines are intended to assist countries in improving their measurement and monitoring of agricultural productivity through the provision of recommendations that are applicable to the entire data cycle, from the collection of basic data to the compilation of final indicators.
Resource Centre
Guidelines & Handbooks
Guidelines & Handbooks, Publications
Guidelines for the Incorporation of a Woodfuel Supplementary Module into Existing Household Surveys in Developing Countries
The purpose of these Guidelines is to develop a tool named the Woodfuel Supplementary Module (WSM), to be incorporated in existing national household surveys. The ultimate goal is to enable developing countries to gather accurate data on woodfuel production and consumption, the sustainability of its production, and related socio-economic and health outcomes.
Guidelines & Handbooks, Publications
Guidelines on methods for estimating livestock production and productivity
These Guidelines on methods for estimating livestock production and productivity are directed towards those seeking to design, test and implement data collection activities to measure livestock production and productivity, particularly in developing countries.
Also available in: French
Guidelines & Handbooks, Publications
Guidelines on the measurement of harvest and post-harvest losses
The purpose of these guidelines is to develop cost-effective statistical methods for measuring post-harvest losses (PHL). The Guidelines aim to present cost-effective methods for measuring food grain losses that could be used especially by developing countries to generate timely and quality data.
Also available in: French
Guidelines & Handbooks
Assessing the quality of agricultural market information systems: A self-assessment guide
Guidelines & Handbooks, Publications
Guidelines on the use of available remote sensing tools, products, methodologies and data to improve agricultural crop production forecast statistics in sub-saharan African countries
This report provides guidelines and a framework for developing multistage crop forecasting systems built on existing national institutions, but also leveraging on new technical advancements in a sustainable manner.
Guidelines & Handbooks, Publications
Guidelines on improving and using administrative data in agricultural statistics
The purpose of these guidelines 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.
Also available in: French
Guidelines & Handbooks, Publications
Handbook on the Agricultural Integrated Survey (AGRIS)
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.
Guidelines & Handbooks, Publications
Guidelines for collecting data for sex-disaggregated and gender-specific indicators in national agricultural surveys
These guidelines seek to increase individual-level, sex-disaggregated and gender-relevant data available from agricultural surveys.
Guidelines & Handbooks, Publications
Guidelines for the compilation of Food Balance Sheets
The objective of these guidelines is to provide countries with the methodological framework and tools to compile high-quality Food Balance Sheets for crop and livestock products.
Also available in: French
Guidelines & Handbooks, Publications
Handbook on Remote Sensing for Agricultural Statistics
The purpose of this handbook is to provide guidelines on the use of remote sensing in the context of agricultural statistics.
Also available in: French
Guidelines & Handbooks, Publications
Recent Practices and Advances for AMIS Crop Yield Forecasting at Farm and Parcel Level: A Review
In most countries, although the proportion of national GDP constituted by the agricultural sector has been declining for decades, the forecasting of food production remains a major challenge for all the economic actors of modern societies.