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].

Regional food price inflation transmission

Abstract: Understanding to what extent and speed agricultural commodity price changes on international markets are transmitted to consumers is key in assessing the vulnerability of households to price shocks. This paper, which is part of FAO Statistics Working Paper Series, provides estimates of the transmission of price changes from international commodity markets to consumers in different regions.

Lead authoring unit/office: Statistics Division (ESS)

Guidelines for assessing country capacity to produce agricultural and rural statistics

Abstract: These guidelines are the result of the first comprehensive effort to develop a standard methodology to assess countries’ capacity to produce agricultural statistics. The presented methodology takes into account previous similar international efforts, particularly those led by the International Monetary Fund (IMF), the World Bank (WB), Paris 21, and more recently, the United Nations Statistical Commission (UNSC), for building a standard framework to assess statistical systems’ capacity and data quality. The assessment framework covers the institutional infrastructure, human and financial resources available, statistical methods and practices, and data availability at the country level. The guidelines also present a set of operational tools and methods for carrying out assessments in conformity with the proposed framework, which has been developed through an extensive consultative process and pilot testing in all regions. In addition to a standard questionnaire and guidelines on data collection, a set of indicators on different dimensions and capacity elements are also provided. These indicators will serve as a tool for monitoring progress at country level and for providing counterfactual information necessary for measuring impact in countries.

Lead authoring unit/office: Statistics Division (ESS)

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)

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)

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)

The FAO parametric versus the IFPRI non-parametric approach to estimating the prevalence of undernourishment: Issues relating to the use of household level data from National Household Surveys

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)

The probability distribution framework for estimating the Prevalence of Undernourishment

Abstract: In his pioneering study carried in the early 1960’s, Sukhatme had formulated the estimate of the prevalence of undernourishment in a population within a bivariate distribution framework where dietary energy consumption (DEC) and dietary energy requirement (DER) are considered as random variables. This paper is part of FAO Statistics Working Paper Series.

Lead authoring unit/office: Statistics Division (ESS)

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