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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Abstract: The reduction of agricultural losses, especially among smallholder farmers, should be an essential component of food security strategies in developing countries. Loss reduction strategies should be informed by evidence on optimal loss levels, or the point below which loss reduction efforts become economically unviable, characterized by reduction costs greater than benefits. Information on minimum losses can help provide a benchmark for farm management, formulation of policies, and investment decisions. This study connects information on minimum losses with farming practices or production technologies, to help in assessing the effectiveness of loss reduction practices and of the underlying policies and incentives that promote them. While most empirical research and data collection activities on losses tend to focus on average losses, this paper provides evidence on minimum losses levels for several commodities and regions of the world.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Little research has been conducted on the association of food insecurity, particularly at the moderate level, and dietary consumption in low- and middle-income countries. This study expands on previous works by considering cross-country comparable measures of food insecurity that are calibrated against the global Food Insecurity Experience Scale (FIES). The FAO Statistics Division has been publishing estimates of the prevalence of food insecurity, based on the FIES, since 2017. The FIES is the first standardized measure, of people's direct experiences of food insecurity, appropriate for application on a global scale. The prevalence of moderate or severe food insecurity based on the FIES is one of the official SDG indicators (2.1.2). The objective of this study is to explore the relationship between the severity of food insecurity, as measured with the FIES (or an analogous experience-based food insecurity scale calibrated to the global reference scale), and dietary intake using microdata from four middle-income countries from different world regions: Kenya, Mexico, Samoa, and Sudan.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: This paper provides an overview of the endorsed methodology of the indicator by the Inter-Agency and Expert Group on SDG indicators (IAEG-SDG). Importantly, it provides a protocol for the collection of the required data via a dedicated survey questionnaire.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: This FAO Statistics working paper presents a new methodological approach aimed at measuring progress towards sustainable agriculture in countries and across agri-food systems typologies, by measuring socio-economic and environmental dimensions with available national statistics, with sixteen indicators defined and constructed from FAOSTAT data. A trend analysis is carried out at country level over the time series 1961-2018, with country results aggregated by four agri-food systems typologies: traditional; land-intensive and capital-intensive mixed systems; and modern food systems. The analysis provides a novel framework for the analysis of progress in achieving sustainable agriculture by country and agri-food system type, that can be implemented effectively and allows for exploring solutions across development pathways.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: This document is part of the FAO Statistics working paper series and part of the series of operational guidelines of the FAO Survey Team providing practical cost effective orientations to countries on agricultural surveys from the conception and implementation to data dissemination. The present document is focused on operational clarifications on the definitions of agricultural holdings and operational guidance for establishing lists of agricultural holdings for agricultural surveys.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: FAO Statistics Working Paper 21/22 is part of the methodological works of the FAO’s Survey Team to provide operational guidance on selected areas of agricultural survey methodology with an overall objective to promote cost effective practices in agricultural surveys implementation.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: This technical note describes how the survey tools of the 50x2030 Initiative satisfy the data requirements of SDG Indicator 5.a.1. It provides guidance on the calculation of the indicator and advises on the potential for detailed analysis beyond the Indicator.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: At the end of each census round, FAO reviews and assesses national census practices, methodologies and results, and summarizes the findings in methodological publications, under the Statistical Development Series (SDS). For the WCA 2010 round (2006–2015), these assessments have been presented in two separate publications. The first one, titled “Main results and metadata by country” (SDS 17), published in 2019, presented a compendium of census metadata and main results for a record number of 127 countries and territories. The SDS 18, i.e. this publication, presents in its first part (Chapters 1 to 12) a methodological review of the national censuses. In its second part (Chapter 13), it illustrates global comparable data on key variables characterizing the structure of agriculture. The global review of census results includes key structural variables that are not available elsewhere. Some examples are number and area of holdings, land tenure and holder gender. Other variables are land size classes, average holding sizes, legal status of holders, household sizes, source of farm labour, land use and operated land.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: In the framework of the Global strategy to improve agriculture and rural statistics (GSARS), FAO provided technical assistance to Zimbabwe on the measurement of harvest and post-harvest losses through sample surveys. The technical assistance was provided in the form of a pilot study on estimating harvest and post-harvest losses for major crops in the Makonde district in the communal and A1 farming sectors. The survey focused on maize and sorghum and included the measurement of on-farm losses. The survey captured losses through interviews of farmers as well as through physical measurements. The number of usable data points for sorghum were too few to provide reliable production and loss estimates, hence the results presented in this report mostly refer to maize. The results show that 5.2 percent of grain is lost at harvest and 3.8 percent lost at drying. The comparison of the loss estimates according to the measurement method used shows mixed results; in A1 farming sectors, farmers’ own loss estimates tend to be lower than physical measurement, while the opposite is evidenced in the communal sector (except for drying). Timely harvesting was used by most farmers to limit losses, followed by stooking when harvesting and the use of chemicals to protect crops from pest infestations during storage. Keywords: Post-harvest losses, Zimbabwe, Makonde, Grains
Lead authoring unit/office: Statistics Division (ESS)
Abstract: This technical report provides findings of field test conducted in identified states / districts / municipalities / study area in Mexico on the basis of sampling methodology for estimation of postharvest losses of horticultural crops (fruits and vegetables) developed by the team led by Dr. Tauqueer Ahmad, Head, Division of Sample Surveys, Indian Agricultural Statistics Research Institute, Institute of Indian Council of Agricultural Research (ICAR-IASRI), New Delhi, India. The Technical Report entitled “Findings from the field test conducted on estimating post-harvest losses of fruits and vegetables in Mexico” contains details of findings of the developed methodology implemented in Mexico, including challenges encountered and lessons learnt. It is expected that this report will help the users from different countries in designing surveys for measurement of post-harvest losses of horticultural crops (fruits and vegetables).
Lead authoring unit/office: Statistics Division (ESS)
