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.
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Comments, suggestions and inquiries can be addressed to: [email protected].
Abstract: RuLIS is a tool to support policies for reducing rural poverty, jointly developed by the Food and Agriculture Organization of the United Nations (FAO) Statistics Division, the World Bank and the International Fund for Agricultural Development (IFAD). RuLIS brings together harmonized indicators and comparable data across countries and over time on rural incomes, livelihoods and rural development. This brief uses data from RuLIS to estimate the contribution of income from crop and livestock production to households’ total annual income. The shares in total income are also analysed across expenditure quintiles. The brief aims at exploring the importance of income from on-farm agricultural sources in rural livelihoods.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: RuLIS is a tool to support policies for reducing rural poverty, jointly developed by the Food and Agriculture Organization of the United Nations (FAO) Statistics Division, the World Bank and the International Fund for Agricultural Development (IFAD). RuLIS brings together harmonized indicators and comparable data across countries and over time on rural incomes, livelihoods and rural development. Using the RuLIS data, this brief focuses on the observations made in the adoption of agricultural inputs, along with improved technology such as irrigation, and mechanised tools among crop farm households in sub-Saharan Africa.
Lead authoring unit/office: Statistics Division (ESS)
Abstract: RuLIS is a tool to support policies for reducing rural poverty, jointly developed by the Food and Agriculture Organization of the United Nations (FAO) Statistics Division, the World Bank and the International Fund for Agricultural Development (IFAD). RuLIS brings together harmonized indicators and comparable data across countries and over time on rural incomes, livelihoods and rural development. Using the RuLIS data, this brief focuses on weather and geophysical shocks, and crop or livestock disease-related shocks, along with the coping strategies used by the affected households.
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 document reflects the latest reference metadata information available on SDG-indicator 2.3.1 "Volume of production per labour unit by classes of farming / pastoral / forestry enterprise size". Last updated: February 2021.
Lead authoring unit/office: FAO
Abstract: This document reflects the latest reference metadata information available on SDG-indicator 5.a.1. "(a) Percentage of people with ownership or secure rights over agricultural land (out of total agricultural population), by sex; and (b) share of women among owners or rights-bearers of agricultural land, by type of tenure". Last updated: February 2021.
Lead authoring unit/office: FAO
Abstract: This document reflects the latest reference metadata information available on SDG-indicator 5.a.2 "Proportion of countries where the legal framework (including customary law) guarantees women’s equal rights to land ownership and/or control". Last updated: February 2021.
Lead authoring unit/office: FAO
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: In recent decades, the occurrence of climate- and weather-related disasters has increased, and globally, a vast number of agricultural livelihoods are compromised each year, with far-reaching effects on food security and ecosystems. This course is part of a series which aim to introduce the FAO Damage and Loss (D&L) methodology, developed by FAO to support countries to generate precise and holistic data for the agricultural sector. This can be used for national Disaster Risk Reduction/Management, resilience and to help monitor the achievement of global targets. (Released in: September 2020; 55 min of learning)
Lead authoring unit/office: Statistics Division (ESS)
Abstract: This paper presents the FAO Damage and Loss Assessment Methodology as a framework for identifying, analyzing and evaluating the impact of disasters on agriculture, including crops, livestock, aquaculture, fisheries and forestry. Its potential is explored as a strategic tool for assembling and interpreting new or existing information to inform risk-related policy decision-making and planning. It is part of FAO Statistics Working Paper Series.
Lead authoring unit/office: Statistics Division (ESS)
