Methods and Standards

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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.

This interface allows you to search for statistical classifications, guidelines and handbooks, technical reports, working papers and methodological documents, and capacity development resources. You can search by SUBJECT (general, agriculture, forestry, fishery and aquaculture, and natural resources) or use the ADVANCED SEARCH to search by keyword, country, language and lead authoring unit/office. Comments, suggestions and inquiries can be addressed to: [email protected].

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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.

Type a keyword in the free text search box or refine your search by keyword, country, language and lead authoring unit/office. 

Comments, suggestions and inquiries can be addressed to: [email protected].

World Programme for the Census of Agriculture 2020. Volume 2: Census web-resources of the operational guidelines

Abstract: This page contains the Web-based resources cited in the WCA Operational Guidelines (Volume 2) ordered by chapter and paragraph. These resources include relevant specialized methodological publications and actual country examples. They intend to illustrate or provide more guidance on certain implementation aspects of agricultural census as well as to learn from experience on how to overcome practical issues.

Lead authoring unit/office: Statistics Division (ESS)

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SPARS - Strategic plan for agriculture and rural statistics

Abstract: The development of these guidelines falls under the framework of the Global Strategy to Improve Agricultural and Rural Statistics. These guidelines are the result of a comprehensive effort to develop a standard methodology to design strategic plans for agricultural and rural statistics in line with the NSDS methodology developed by PARIS21. The guidelines present a set of operational tools, methods and good practices that have been developed through a long process, taking advantage of country experiences and existing material on statistics strategic planning developed over the last 10 years. Countries will be expected to use the SPARS as a platform for long-term sustainable development of agricultural and rural statistics, as a coordination platform for producers and data users and as a means to address immediate needs and direct priority assistance. The guidelines will be regularly updated thanks to the feedback and experiences of the countries that are implementing the SPARS

Lead authoring unit/office: Statistics Division (ESS)

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Sample-based fishery surveys. A technical handbook

Abstract: The purpose of this handbook is to summarize experience gained over recent years in fishery statistical development by the Fishery Information, Data and Statistics Unit (FIDI) of FAO, and provide planners and users of fishery surveys with simple and step-by-step guidance for developing and implementing cost-effective and sustainable fishery surveys. The methodological and operational concepts discussed here apply equally to both marine and inland capture fisheries and are presented in a manner that is generic enough to make them adaptable to most commonly used data collection systems. Statistical aspects are presented in a descriptive rather than theoretical manner. Emphasis is placed on the understanding and interpretation of the statistics and related indicators collected, rather than on the computations producing them. Readers interested in a more in-depth discussion on statistical and computing approaches may make use of the list of references that is given at the end of the handbook. This publication is part of FAO Fisheries Technical Paper Series.

Lead authoring unit/office: Fisheries Division (NFI)

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Sampling methods for agricultural surveys

Abstract: This publication is intended to assist statisticians in their work in designing agricultural sample surveys. Emphasis is placed on the need to conceptualise data sources within a framework of a national information system which requires standardised concepts. It is part of FAO Statistical Development Series.

Lead authoring unit/office: Statistics Division (ESS)

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Programme for the 1990 World Census of Agriculture

Abstract: This publication provides information about the 1990 World Census of Agriculture. It is aimed to assist countries in planning, developing and operating the statistical component of a national information system for food and agriculture. It is part of FAO Statistical Development Series.

Lead authoring unit/office: Statistics Division (ESS)

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Report on the 1970 World Census of Agriculture

Abstract: The 1970 World Census of Agriculture was the third decennial census of agri­culture promoted by FAO. The present publication, which is part of FAO Statistical Development Series, deals with the concepts, definitions and methodology of census taking as applied by countries participating in the 1970 World Census of Agriculture. The information presented is drawn from the available national census reports, documents of various FAQ meetings and sessions, and from the FAO experts who were actually involved in the planning and implementation of the census of agriculture taken around 1970 in the developing countries. While every effort was made to pool together all possible sources of information, it is by no means claimed to be exhaustive. Most of the census reports available from the countries were lacking in adequate information on the planning and methodological procedures. On a number of items the information presented in some of the national reports was too scanty for a comparative analysis to be included in the present volume. Naturally these limitations reflect correspondingly on the contents of this publication.

Lead authoring unit/office: Statistics Division (ESS)

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