Resource Centre

Guidelines & Handbooks

Guidelines for the Enumeration of Nomadic and Semi-Nomadic (Transhumant) Livestock

These Guidelines are intended to be a reference document providing technical and operational guidance on various aspects of the Enumeration of Nomadic and Semi-Nomadic (Transhumant) Livestock in various country conditions, with particular attention being paid to developing countries.

Also available in: French


Towards a System of Environmental-Economic Accounting 2015, Agriculture, Forestry and Fisheries

The System of Environmental-Economic Accounting for Agriculture, Forestry and Fisheries (SEEA Agriculture) was developed as part of the Global Strategy to Improve Agricultural and Rural Statistics (the Global Strategy). The SEEA Agriculture is a conceptual framework that enables national and international statistical systems to access the data needed for decision-making: it combines the economic and environmental dimensions of agriculture, forestry, fisheries, land use, water use and other environmental factors with the conventional treatment of agricultural, forestry and fisheries production.


Guidelines to Enhance Fisheries and Aquaculture Statistics through a Census Framework

These Guidelines describe a method that can be employed to accurately capture the actual contribution of small-scale fisheries and aquaculture to rural communities. In principle, the basic structure of these survey stages follows the concepts adopted by the World Census of Agriculture, including the modular approach, to enhance utility and reduce implementation costs.


Guidelines for the Integrated Survey Framework

The growing demand by policymakers and decision makers for statistics based on information that is interlinked in economic, social, and environmental aspects requires the large-scale expansion of national efforts to implement statistical surveys, in terms of organization and budget. Therefore, the collection of data by integrating information from different sources is becoming a crucial requirement for the production of statistics.


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