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].
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].
Abstract: Prepared by the Global Strategy to improve agricultural and rural statistics (GSARS), this session tackles the different methods and approaches to measure grain losses on the farm occurring during the different stages and operations executed by the farmer. It also briefly discusses the approaches to measuring losses after the grains leave the farm (that is, off-farm losses). Outline of the session: a) Introduction; b) Overview of measurement methods; c) Measuring losses based on farmer declarations; d) Measuring losses based on objective measurements; e) Measuring losses based on visual scales; f) Overview of approaches to off-farm loss measurement.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to improve agricultural and rural statistics (GSARS), this session deals with the objective measurements and analyses of losses performed in laboratories. It presents the different methods and formulas used to calculate losses once the grains taken from the farms reach the laboratory. It also discusses the selection of grains that arrives at the laboratory and the different formulas that could be applied after the selection is done. Outline of the session: a) Introduction; b) Standard Volume/Weight Method (SVM); c) Conventional count and weigh or gravimetric method; d) Modified count and weigh method; e) Thousand Grain Mass Method (TGM); f) Converted percentage damaged method.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to improve agricultural and rural statistics (GSARS), this session aims to discuss the different farm-level and off-farm sampling approaches (processors, millers etc.). It presents the methods used to select farmers, fields, and crops, and describes the crop-cutting method used in objective measurements. It also covers sampling methods for grain at the storage stage. Outline of the session: a) Introduction; b) Sampling approach at farm-gate level; c) Off-farm sampling approach.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Field trials or experimental designs are approaches adopted to assess losses for specific grains or for specific stages or methods used by the farmers. It is used by research stations in certain circumstances to test methods, types of seeds or other inputs, to reduce the losses experienced by farmers. Prepared by the Global Strategy to improve agricultural and rural statistics (GSARS), this session explains how this approach can be used to produce better statistics on PHL. Outline of the session: a) Introduction; b) Concepts and definitions; c) Statistical designs; d) Loss assessment at different stages; e) Example: Ghana.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to improve agricultural and rural statistics (GSARS), this session is mainly used to improve the analysis once the data is obtained, such as by providing the link between losses and the practices followed by farmers. In this session, different models are presented, with examples. Outline of the session: a) Introduction; b) Concepts and type of data; c) Regression analysis: general linear regression model; d) Example: Pakistan.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: This course focuses on SDG Indicator 2.1.1, which is one of two indicators that focus on food insecurity. The PoU is an estimate of the proportion of the population facing serious food deprivation, and is derived from official national level information on food supply and consumption, and energy needs. This course has been developed to support countries in analysis and reporting for Indicator 2.1.1.
Lead authoring unit/office: FAO
Abstract: Prepared by the Global Strategy to improve agricultural and rural statistics (GSARS), this training material on the measurement of livestock production and productivity targets decision makers, statisticians, analysts and data producers from National Statistical Systems (NSOs or statistical departments within the Ministry of Agriculture, for example) as well as analysts, researchers, teaching staff and students from training centres of statistics and agriculture and other relevant institutions. This user guide describes the intended goals, content and target audience of the training material on the estimation of livestock production and productivity. It also outlines the structure of the training material and provides recommendations on organizational aspects.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to improve agricultural and rural statistics (GSARS), the goal of this module is to discuss the importance of livestock statistics within countries and the requirements for producing better statistics in this domain. It also discusses the scope of livestock statistics in the GS context. Outline of the session: a) Introduction; b) Scope of animal production activities and livestock statistics; c) Contribution of livestock to poverty reduction and development; d) Livestock statistics in policy agendas.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to improve agricultural and rural statistics (GSARS), this session presents the main indicators that should be compiled when conducting livestock studies and the different items to be collected in the field. It also briefly discusses the data sources for each indicator and presents some practical considerations to recall when compiling data. Outline of the session: a) Introduction; b) Livestock stocks; c) Meat production; d) Milk production; e) Egg production; f) Animal health; g) Feed availability; h) Watering practices.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to improve agricultural and rural statistics (GSARS), this module tackles an important component of livestock statistics. It discusses, in detail, the different ways to obtain data on livestock statistics. The main goal of the session is to build the capacity of technical staff involved in survey design and data collection operations. It discusses the best approaches to adopt when collecting data with livestock keepers and the various estimation methods that can contribute to the calculation of more accurate statistics. Outline of the session: a) Introduction; b) Main data sources; c) Data collection methods; d) Survey design and implementation.
Lead authoring unit/office: Statistics Division (ESS)
