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
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)
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)
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
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)
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)
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)
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)
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)
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)