Statistics working papers

Methodology for Computing and Monitoring the Sustainable Development Goal Indicators 2.3.1 and 2.3.2
FAO Statistics Working Paper Series / 18-14


The purpose of this note is to inform on the statistical methodology for computing and monitoring target 2.3 and measure progress in SDG indicators 2.3.1 and 2.3.2 approved by the Inter-Agency and Expert Group on the Sustainable Development Goals.

The Food Loss Index Design, Data Collection Methods and Challenges
FAO Statistics Working Paper Series / 18-13


This document describes the steps for calculating the Food Loss Index along with a method to aggregate data from subnational stages of the supply chain to the national level. Subnational disaggregation will identify where losses occur and the scope of impact, sets the focus on where to make investments and [...]

Defining smallholders to monitor target 2.3. of the 2030 Agenda for Sustainable Development
FAO statistical working paper series 17-12


Despite the central position occupied by smallholder agriculture in the current development debate, a general and operational definition of smallholders still does not exist. The question “what is a small farm?” keeps receiving different answers depending on the context in which is posed.

Notes on an Information System on Damage and Losses from Disasters in Agriculture. A Strategic Programme 5 – resilience initiative
FAO statistical working paper series 16-11


FAO will launch an initiative for the development of an information system on damage and losses caused by disasters on the sector and its subsectors (crops, livestock, fisheries and forestry) as part of its commitment to enhancing the resilience of agriculture and rural livelihoods.

Decent work indicators for agriculture and rural areas: Conceptual issues, data collection challenges and possible areas for improvement
FAO statistical working paper series 15-10


This paper aims to achieve three main objectives. First, to assess the relevance of concepts and indicators of Decent Work (DW) for rural areas and employment in agriculture, especially in low-income countries, where coverage, data availability and reliability are particularly problematic. 

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