In response to a growing demand for high-quality and internationally-comparable statistics, FAO develops, implements and promotes methods and standards to guide national data producers in generating and using sound statistics. In particular, the Organization is committed to provide national statistical systems with internationally recognized definitions, concepts and classifications as well as methodological guidance for the production of high quality statistics related to food and agriculture.
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Abstract: This publication provides guidance for a statistical office to use when forming an MSF. The goals of this document are to (1) describe a process for building, maintaining and using MSFs; (2) discuss interrelations among survey objectives, core data elements, construction of sampling frames, estimation, and archival of results; and (3) offer guidance for using multiple sources of information. The statistical office will need to consider how the directives presented in this document apply to a particular situation. When deciding on an MSF approach, the statistical office should consider the ultimate uses of the collected data and the desired estimates.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: This supplement on selected country experiences to the Handbook on Master Sampling Frames for Agriculture has been prepared within the framework of the Global Strategy to Improve Agricultural and Rural Statistics (GSARS). It is intended to provide practical examples on how sampling frames can be developed and used as master sampling frames in different country contexts given the diversity of country situations and resources. The selected country experiences include: Brazil, Bulgaria, China, Ethiopia, Georgia, Guatemala, Nepal, Rwanda, USA and USDA experiences in Nicaragua, Nigeria and Tanzania.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this training material is designed for managers, statisticians, sampling experts, GIS specialists and professional staff from the National Statistical Offices and statistical units of the Ministries of Agriculture. It may also be used to train students in agricultural statistics as well as targeted trainers or technical assistance providers in statistical training centres, Regional Economic Communities and regional and subregional organizations specialized in statistical development. This user guide has been prepared to guide the users through this training material.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this training material is designed for managers, statisticians, sampling experts, GIS specialists and professional staff from the National Statistical Offices and statistical units of the Ministries of Agriculture. It may also be used to train students in agricultural statistics as well as targeted trainers or technical assistance providers in statistical training centres, Regional Economic Communities and regional and subregional organizations specialized in statistical development. This session aims to a) Introduce the concept of Master Sampling Frame (MSF); b) Inform the audience about the benefits of constructing and using an MSF; and c) Advocate for an agricultural survey system based on a single Master Sampling Frame.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this training material is designed for managers, statisticians, sampling experts, GIS specialists and professional staff from the National Statistical Offices and statistical units of the Ministries of Agriculture. This session aims to: a) Inform the audience about how to build an MSF using list Frame; b) Discuss about main issues from the use of list Frame; c) Provide guidelines for maintaining and updating list Frame.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this training material is designed for managers, statisticians, sampling experts, GIS specialists and professional staff from the National Statistical Offices and statistical units of the Ministries of Agriculture. This session aims to: a) Introduce the concept of MSF; b) Inform the audience about the benefit of constructing and using an MSF; and c) Provide guidelines for the construction, maintenance and use of Master Sampling Frames (MSFs) in agricultural statistics.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this training material is designed for managers, statisticians, sampling experts, GIS specialists and professional staff from the National Statistical Offices and statistical units of the Ministries of Agriculture. This session ams to: a) Review the principles of multiple frame sampling; b) Deal with issues arising from the use of multiple frame sampling; and c) Provide lessons from countries examples.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this training material is designed for managers, statisticians, sampling experts, GIS specialists and professional staff from the National Statistical Offices and statistical units of the Ministries of Agriculture. At the end of this session, the audience will: a) Know the utility of area frame and is able to identify the main types; b) Know the differents steps required to build an area sampling frame and do a pratical exercise; c) Be able to choose between different segment area methodologies taking into account the reality of the countries; d) Know how to avoid the source of non-sampling errors when designing an area frame; and e) Be able to make link between census or administrative data and an area frame.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this training material is designed for managers, statisticians, sampling experts, GIS specialists and professional staff from the National Statistical Offices and statistical units of the Ministries of Agriculture. The objectives of the presentation are to initiate the audience on the use of GIS and remote sensing tools to build an area frame. It will be based on these tools: Qgis (Design of segments and points and execution of some processing tasks); Open foris collect (design of the land use/cover survey form); Collect earth and google earth pro (remote data collection of the land use/cover survey).
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this training material is designed for managers, statisticians, sampling experts, GIS specialists and professional staff from the National Statistical Offices and statistical units of the Ministries of Agriculture. At the end of this session, the audience will: a) Be able to know the kind of observation mode that should adopted for their survey; b) Be able to establish the formula of the the estimation of the variable of interest depending whether the sampling unit is a point or a segment; and c) Understand how to avoid non-sampling errors when designing the survey.
Lead authoring unit/office: Statistics Division (ESS)
