23-26 May 2017, Ndjamena, Chad
15-19 May, Dar Es Salaam, Tanzania
11-12 May, FAO headquarters, Rome
This Technical Report proposes methods for the collection of data to compile improved measures of selected indicators, based on analyses of existing methods and field-testing of alternatives.
The goal of the research line, “Mainstreaming sex-disaggregated data and gender indicators in agricultural statistics” is to improve the availability of comparable sex-disaggregated data and gender-relevant indicators within large-scale agricultural surveys.
On April 3-5, 2017, the Food and Agriculture Organization of the United Nations (FAO UN), in collaboration with the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), successfully organized an expert meeting on SDG Indicator 2.4.1, which is the percentage of agricultural area under productive and sustainable agriculture.
Farm typology is a concept used to classify agricultural holdings by multiple dimensions. It covers all farms, including the small units that produce mainly for own-consumption and regardless of the legal status of the holder.
With an overarching aim of strengthening the quantity and quality of professionals and experts in agricultural statistics in Africa, the training component of the Global Strategy to improve Agricultural and Rural Statistics strives to guarantee the availability of demand based and focused training options across the continent.
The Central Statistical Agency (CSA) of Ethiopia has been testing the applicability and adoptability of the Area Frame (AF) to improve agricultural statistics in the country.
In line with the current policy debate on agriculture and rural development, the improvement of methods for estimating post-harvest losses was identified by FAO member countries as a priority research topic to be included in the research programme of the Global Strategy.