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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You can access here all the statistical guidelines and handbooks, technical reports, working papers and methodological documents, and capacity development resources.
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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.
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 is to inform the audience on: the diversity of countries’ situations and national factors that guided the choice of particular options for building sampling frames for agriculture and using them as master sampling frame (MSF); and the lessons learnt by countries in building and using an MSF.
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 familiar with the recommended steps when developing an MSF; and b) Understand the background information, competencies, time and resources investments required when implementing an MSF.
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 this presentation are to: a) Discuss the types of master sampling frames and data sources; b) Discuss the advantages and disadvantages of using an Area frame as an MSF; c) Discuss the advantages and disadvantages of using an List frame as an MSF; and d) Discuss the advantages and disadvantages of using a Multiple frame as an MSF.
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 this presentatin are to: a) Present different sampling designs and estimation techniques when the MSF is a list frame; and b) Provide guidelines for the use of auxiliary information to improve the sampling design.
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 identify the different concepts when designing a survey; b) Know the elements that impact the sampling variability and errors; and c) Understand the particularities of the different probability sampling designs to be considered in deciding which ones are more adapted to the objectives of the survey.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this technical report on Master Sampling Frames describes the field experiments conducted in Nepal.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this technical report reviews the literature related to the monitoring of characteristics of fisheries and anglers. It begins with an overview of why monitoring several dimensions of a fishery is important for the development of effective management plans, and considers aspects that might have particular relevance for developing and emerging economies.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: This Handbook on Master Sampling Frames for Agriculture has been prepared within the framework of the Global Strategy to Improve Agricultural and Rural Statistics (Global Strategy). The Global Strategy is an initiative endorsed in 2010 by the United Nations Statistical Commission. It provides a framework and a blueprint to meet current and emerging data requirements and the needs of policymakers and other data users. Its goal is to contribute to greater food security, reduced food price volatility, higher incomes and greater well-being for rural populations, through evidence-based policies. The Global Strategy is centred upon 3 pillars: (1) establishing a minimum set of core data (2) integrating agriculture into National Statistical Systems (NSSs) and (3) fostering the sustainability of the statistical system through governance and statistical capacity building.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), this Technical Report on Improving the Use of GPS, GIS and Remote Sensing in Setting Up Master Sampling Frames is the result of a comprehensive literature review on the subject, followed by a gap analysis and a development of innovative methodological proposals for addressing the various issues that arise.
Lead authoring unit/office: Statistics Division (ESS)
