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].

E-learning course | Food composition data

Abstract: This course explains the importance of food composition tables and databases, food description (selection and nomenclature), food components (analysis, calculation, conversion and units), covers the aspects of quality and food biodiversity, as well as compilation principles. The course is designed to be primarily used in universities, as it is important that future generations of nutritionists, food scientists, dieticians, chemists analysing food components, food composition data compilers, health professionals and agronomists appreciate food composition data and use them adequately in their respective fields to improve data quality, availability and usage worldwide. It can also be used by self-learners interested in food composition, or in conjunction with food composition courses, or within institutes for capacity development in food composition.  (Released in: September 2013. 10 h of learning).

Lead authoring unit/office: FAO

2000 World Census of Agriculture. Methodological review (1996–2005)

Abstract: This publication, which is part of FAO Statistical Development Series, is a methodological review of the agricultural censuses conducted within the framework of the Programme for the World Census of Agriculture 2000. It covers methodological aspects like enumeration methods and techniques, census frames, geographical and holding type coverage, census scope, etc.

Lead authoring unit/office: Statistics Division (ESS)

System of Environmental-Economic Accounts for Water (SEEA-Water)

Abstract: SEEA-Water was developed with the objective of standardizing concepts and methods in water accounting. It provides a conceptual framework for organizing economic and hydrological information, enabling a consistent analysis of the contribution of water to the economy and of the impact of the economy on water resources. SEEA-Water further elaborates the framework presented in SEEA-2003 to cover in more detail all aspects related to water. FAO has also been involved in the preparation of the United Nations SEEA-Water led by the United Nations Statistics Division (UNSD) in collaboration with the London Group on Environmental Accounting (in particular its subgroup on Water Accounting). The Natural Resources Management and Environment Department was particularly engaged in the preparation of the International Recommendations for Water Statistics (IRWS) which were finalized in 2010 and adopted by UNSC.

Lead authoring unit/office: United Nations Statistics Division (UNSD)

E-learning course | Management of spatial information

Abstract: This course covers the techniques for spatial data acquisition, spatial analysis, modelling, integration of various data sources and sharing spatial information (international standards and interoperability, spatial data infrastructure).

Lead authoring unit/office: FAO

Guidelines for linking population and housing censuses with agricultural censuses with selected country practices

Abstract: This publication, which is part of FAO Statistical Development Series, aims to provide practical guidance for population and housing census and agricultural census planners looking to implement a cost-effective census strategy by coordinating the population and housing census with the agricultural census.

Lead authoring unit/office: Statistics Division (ESS)

2000 World Census of Agriculture: Main results and metadata by country (1996-2005)

Abstract: This publication, which is part of FAO Statistical Development Series, presents a comparison of data (not without limitations) received from different countries. It provides selected data on number and area of holdings, gender of the holder, farm population, employment, land tenure, land use, main crops, livestock, irrigation and machinery and equipment.

Lead authoring unit/office: Statistics Division (ESS)

Undernourishment and critical food poverty: Indicators at national and sub-national levels

Abstract: Indicators to measure food poverty and undernourishment are useful for understanding food insecurity at national level and within countries. This paper, which is part of FAO Statistics Working Paper Series, discusses two indicators: proportion of undernourishment, and proportion of critical food poverty. 

Lead authoring unit/office: Statistics Division (ESS)

Monitoring hunger: Indicators at global and subnational levels

Abstract: This paper, which is part of FAO Statistics Working Paper Series, presents three different hunger indicators and outlines how they can be used to assess the extent of food insecurity in population groups globally and within countries at community, regional, or other subnational levels.

Lead authoring unit/office: Statistics Division (ESS)

The effect of sampling design on the reliability of estimates of the variance of distributions derived from household survey data: A simulation study

Abstract: On a regular basis, FAO produces estimates of the prevalence of undernourishment and related measures that require estimates of the frequency distribution of household per capita food consumption, expressed in terms of dietary energy (kilocalories). This paper is part of FAO Statistics Working Paper Series.

Lead authoring unit/office: Statistics Division (ESS)

On reliability of estimates of inequality in distributions derived from sample survey data

Abstract: A non-parametric approach suggested by researchers from the International Food Policy Research Institute (IFPRI) for measuring food deprivation (undernourishment) is not an improvement to the current FAO parametric approach. This paper is part of FAO Statistics Working Paper Series.

Lead authoring unit/office: Statistics Division (ESS)

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