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This technical report on Agricultural Master Sampling Frames: Lessons learned from international field experiments and case studies compiles results from a series of experiments carried out by the Global Strategy to improve Agricultural and Rural Statistics (GSARS) in 2016 and 2017, in Brazil, Nepal and Rwanda.
The Second Global Action Plan to implement the Global Strategy to improve Agricultural and Rural Statistics aims to strengthen and modernize countries’ agricultural statistical systems developing modern and sustainable agricultural statistics systems to boost data production for 21st century policy and user need.
The Second Global Action Plan focuses on four technical arenas and outputs that relate to the main aspects of the process and cycle of statistical production and use in support of food security and sustainable development policies and one arena related to the more effective implementation of the plan.
These Guidelines seek to measure dimensions of labour force performance and job quality that are not well captured in the Decent Work framework. More specifically, the Guidelines propose Decent Work indicators that focus on youth (ages 15–24 years) within developing countries where the majority of households depend on agriculture for their well-being and a large share of the population lives in poverty.
The present document presents two case-studies, to illustrate the process of compilation of productivity indicators: i) the calculation of labour productivity based on data collected at farm-level, that is based on a pilot survey in Zambia, and ii) the construction of aggregate and country-level information on agricultural productivity from aggregate time-series.
These Guidelines aim to improve the availability of systematically integrated and comparable sex-disaggregated and gender-relevant data within agricultural surveys by bridging significant data gaps. Specifically, the Guidelines identify key indicators focusing on crop and livestock activities in developing countries where the agricultural sector is largely characterized by agricultural households, and propose adaptations to existing agriculture surveys based on the latest research in survey methods and gender analysis.
The purpose of these Guidelines on data collection for national statistics on forest products is to present and discuss best practices with respect to the collection, compilation and dissemination of statistics on forest products statistics.
These Guidelines aim to support decisions about rural development policy by offering concepts and methods to improve the quality, availability, and use of statistics. The Guidelines present and explain how to construct a rural definition that is useful for organizing statistical information about rural areas.