An 8-page brochure on Methods for estimating Livestock Production and Productivity is now available.
Also available in French
An 8-page brochure on Methods for estimating Livestock Production and Productivity is now available.
Also available in French
The overall goal of the study is to test the methodology and the approach developed by the Agriculture Market Information System (AMIS) project, which outlined the use of available data to estimate certain critical variables on food balance sheets, especially Carry-in Stocks (also called Carry-over stocks), and Production.
Report of the Food and Agriculture Organization of the United Nations on new developments in agricultural and rural statistics (6-9 March 2018)
28 Avril 2018, Niakara, Côte d’Ivoire
This training material on the enumeration of nomadic and semi-nomadic (transhumant) livestock targets decision makers, statisticians, analysts and data producers from National Statistical Systems (NSOs or statistical departments within the Ministry of Agriculture, for example) as well as analysts, researchers, teaching staff and students from training centres of statistics and agriculture and other relevant institutions.
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This training material on the enumeration of nomadic and semi-nomadic (transhumant) livestock targets decision makers, statisticians, analysts and data producers from National Statistical Systems (NSOs or statistical departments within the Ministry of Agriculture, for example) as well as analysts, researchers, teaching staff and students from training centres of statistics and agriculture and other relevant institutions.
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In the context of the Global Strategy to improve Agricultural and Rural Statistics, remote sensing has been identified as a point of reference for Master Sampling Frames and methodological improvements in design and estimation terms, as a prime contributor to the localization and geocoding of the sampling units, as a way to achieve sustainability and as a core data provider for indicators linked to land uses and covers.
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This month, the Global Office has released some training material aimed at building and improving data producers’ knowledge and skills in agricultural statistics.
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On 13-14 September 2017, the Global Office conducted an expert meeting on Agri-environmental indicators.
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These guidelines seek to increase individual-level, sex-disaggregated and gender-relevant data available from agricultural surveys.
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
13-14 September 2017, FAO headquarters, Rome