The Global Office of the Global Strategy to Improve Agricultural and Rural Statistics (GSARS) has been developing a number of research topics on new, cost-effective and sound methods to enhance the quality and reliability of agricultural statistics in developing countries. read more
On 11-12 May 2017, the Global Office conducted an expert meeting on Master Sampling Frames for Fisheries and Aquaculture. read more
In order to meet the lack of appropriate knowledge and skills in food security, the Food and Agriculture Organization (FAO), supported by the Global Strategy (GS), has developed an improved methodology for estimating supply and utilization accounts and food balance sheets through the GS research program. read more
The Government of Seychelles had expressed its need for technical assistance to collect and compile data on Agricultural Cost of Production (AgCoP). read more
On 15-19 May 2017, a workshop on Survey Solutions Computer Assisted Personal Interview (CAPI) was carried-out at the East African Statistical Training Centre (EASTC) in Dar es Salaam, Tanzania. read more
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. read more
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. read more
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. read more
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. read more
The Bangladesh Bureau of Statistics (BBS), conducted a nationally representative private grain stocks survey, financially and technically supported by the Agricultural Market Information System (AMIS) project. . The data collection was carried out between 3 and7 March 2017 and the results of the survey are expected to be released towards the end of April. The survey aims to collect data on stocks for rice, wheat and maize from 8,000 sampled households and 300 millers.
Prior to launching the field data collection, two levels of training were conducted, for master trainers and field enumerators. In particular, the training of master trainers was inaugurated in the presence of higher officials from the Government including the Director General of BBS as well as the FAO representative for Bangladesh. During their speech, the officials stressed the importance of conducting this private food grain stock survey. Almost all the speakers appreciated the support provided by AMIS and pointed out that this survey, which is the first in its kind in Bangladesh, will provide good grounds for BBS to include the stock survey in its regular survey program.
Experts from FAO headquarters, the FAO country office and BBS supervised the data collection in selected districts during the first two days. This provided the opportunity to point out important areas that need more emphasis, and suggestions were made to improve the data collection exercise.
Guidelines for designing and implementing grain stock surveys were recently published by the capacity-building component of the AMIS project in collaboration with FAO. These guidelines were prepared on the basis of assessments of the methods currently used by countries to produce data on stocks, and provide examples and tools for countries wishing to develop their own stock survey programmes.