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), the main objective of this session is to present the possible approaches towards reducing the cost of livestock surveys. It presents the best practices related to fieldwork organization and the budget components to take into account when designing livestock surveys. It also discusses the integration of livestock-data gathering into an integrated agricultural survey, as thisis considered a cost-effective way to collect data on agriculture in general and on livestock in particular. Outline of the session: a) Introduction; b) Fieldwork organization; c) Cost of livestock surveys; d) Integrated surveys.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: In the context of reporting on the SDG Indicator 2.1.2, this course introduces the Food Insecurity Experience Scale (FIES) and explains how it can be used to measure food security. The course provides guidance on the collection and analysis of data, and on how the information provided by the FIES can be used to inform and guide policy.
Lead authoring unit/office: FAO
Abstract: This course focuses on SDG Indicator 2.a.1 – Agriculture orientation index for government expenditure. The course illustrates the indicator, its rationale, the methodology and statistical classifications it is based on, and the challenges that countries may face when compiling the data.
Lead authoring unit/office: FAO
Abstract: This course is a clear and easy-to-use guide to understand Indicator 2.c.1 (Indicator of food price anomalies) and the methodology to estimate it. It covers basic concepts related to market functioning, prices determination and price volatility and explains how to calculate the indicator and use the online Food Price Monitoring and Analysis (FPMA) tool to interpret indicator results, at national and international level.
Lead authoring unit/office: FAO
Abstract: This course focuses on SDG Indicator 5.a.1, which is one of two indicators that focus on women’s ownership and/or control over agricultural land. As this is a statistical based indicator, after introducing its key concepts, definitions and rationale, the course offers detailed guidance both on data collection and manipulation, and computation of the various sub-indicators.
Lead authoring unit/office: FAO
Abstract: This course focuses on SDG Indicator 5.a.2 which assesses women’s equal rights to land ownership and/or control. The course describes the indicator, explains its rationale and provides countries with step-by-step guidance for conducting the assessment.
Lead authoring unit/office: FAO
Abstract: This course provides tools, methods and processes to support countries in monitoring and reporting on SDG Indicator 6.4.2 "Level of water stress: freshwater withdrawal in percentage of available freshwater resources".
Lead authoring unit/office: FAO
Abstract: Prepared by the Global Strategy to improve agricultural and rural statistics (GSARS), This training material on the collection of small-scale fishery and aquaculture statistics is designed to bring together the persons within national statistical systems who are responsible for producing small-scale fishery and aquaculture statistics. The training therefore targets decision-makers in agriculture or fishery ministries and National Statistical Offices (NSOs), survey managers, trainers of field staff, data analysts, researchers, teaching staff and students at training centres of statistics and agriculture or fisheries. This user guide describes the intended training objectives, content and target audience of the training in the collection of SSF and aquaculture statistics. It also provides recommendations on aspects of the organization of training, such as a sample training duration timetable (see appendix).
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to improve agricultural and rural statistics (GSARS), this training material on the collection of small-scale fishery and aquaculture statistics is designed to bring together the persons within national statistical systems who are responsible for producing small-scale fishery and aquaculture statistics. The training therefore targets decision-makers in agriculture or fishery ministries and National Statistical Offices (NSOs), survey managers, trainers of field staff, data analysts, researchers, teaching staff and students at training centres of statistics and agriculture or fisheries. The training topics covered by the training material are the following: 1. Definition of Small-Scale Fishery (SSF) and aquaculture; 2. Why SSF and aquaculture statistics (including map of SSF distribution worldwide and statistics on output, consumption, employment) ‒ SDGs (food security, sustainability, economy) ‒ National data needs ‒ Regional data needs; 3. Indicators for SSF and aquaculture a. Biological indicators b. Fishing operations indicators c. Economic indicators d. Community indicators; 4. Criteria for selecting indicators to collect; 5. International classifications for fisheries statistics ‒ Boat gear classifications ‒ Fish species classifications, etc.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: Prepared by the Global Strategy to improve agricultural and rural statistics (GSARS), this training material on the collection of small-scale fishery and aquaculture statistics is designed to bring together the persons within national statistical systems who are responsible for producing small-scale fishery and aquaculture statistics. The training therefore targets decision-makers in agriculture or fishery ministries and National Statistical Offices (NSOs), survey managers, trainers of field staff, data analysts, researchers, teaching staff and students at training centres of statistics and agriculture or fisheries. The training topics covered by the training material are the following: 1.1 Why a refresher on biostatistics; 1.2 Statistical terms: population versus sample; 1.3 Statistics/Estimates (mean, variance, standard deviation); 1.4 Reliability, precision and accuracy of estimates (confidence intervals, relative error, bias).
Lead authoring unit/office: Statistics Division (ESS)
