This working paper highlights the key issues, challenges and weaknesses of the administrative agricultural data system and proposes possible recommendations to address them.
Technical Reports & Working Papers
This document reviews the literature on the collection of sex-disaggregated data in agricultural surveys and the agricultural modules of national household surveys in preparation for a guidance document for national statistical institutions.
Timely and accurate data is critically important for the development of food security programs, agricultural development, poverty reduction policies, investment strategies and natural disaster responses.
This literature review presents the main findings of bibliographic research on the application of remote sensing to agricultural and rural statistics.
This Working Paper provides a review of the literature on methodologies used for estimation of crop area and crop yield in developed and developing countries.
The main purpose of this Technical Report on Cost-Effectiveness of Remote Sensing for Agricultural Statistics in Developing and Emerging Economies is to carry out a cost-efficiency analysis on the use of remote sensing through a literature review and the analysis of case studies in a series of 31 developing and emerging countries.
This report is the second in the series which describes the gap analysis that exists in the context of crop area and yield estimation, and in general, focuses more on crop area and yield estimation in the mixed and continuous cropping scenario.
Data collected from sources other than surveys and censuses are used extensively by the statistical offices of developed countries. Such data can maximize the consistency of published cross-sector figures and help to align survey data with information from non-statistical sources.
This Technical Report on “Linking Area and List Frames in Agricultural Surveys” is the result of a comprehensive literature review on the subject and further methodological developments. The Report introduces and discusses the problem of improving the quality of agricultural statistics by exploring methods to maximize the use of available frames, focusing on how to combine information from area frames and list frames in agricultural surveys.
The aim of this technical report on “Spatial Disaggregation and Small-Area Estimation Methods for Agricultural Surveys: Solutions and Perspectives” is to enhance disaggregation methods for adaptation to various agricultural situations and datasets.
This present report is a review of relevant literature, which includes publications manuals, methodologies and guidelines on estimating post-harvest losses of the Food and Agriculture Organization of the United Nations (FAO), as well as publications by other institutions, international organizations and relevant country experiences on estimating post-harvest losses.
The Global Strategy to Improve Agriculture and Rural Statistics was adopted by the United Nations Statistical Commission in 2010 with the objective to improve statistics in agriculture, livestock, aquaculture, small-scale fisheries and forestry production in developing countries and ensure that they are maintained over time. One of the key components of the Global Action Plan is its research plan, which has as one of its priorities “improving the methodology for using administrative data in agricultural statistics” (World Bank, FAO and United Nations 2010).