Guidelines on data disaggregation for SDG Indicators using survey data


Book Description

As a member of the working group on data disaggregation, the Food and Agriculture Organization of the United Nations (FAO) has taken numerous steps towards supporting Member Countries in the production of disaggregated estimates. Within this framework, these Guidelines offer methodological and practical guidance for the production of direct and indirect disaggregated estimates of SDG indicators having surveys as their main or preferred data source. Furthermore, the publication provides tools to assess the accuracy of these estimates and presents strategies for the improvement of output quality, including Small Area Estimation methods.




An indirect estimation approach for disaggregating SDG indicators using survey data


Book Description

As the custodian United Nations (UN) agency of 21 Sustainable Development Goal (SDG) indicators, and a member of the Inter-Agency and Expert Group on SDG Indicators (IAEG-SDGs) and the Working Group on data disaggregation, the Food and Agriculture Organization of the United Nations (FAO) has been working to support countries in reporting SDG indicators at the required disaggregation level. To this end, FAO Office of Chief Statistician (OCS) has developed Guidelines on data disaggregation for SDG Indicators using survey data (FAO, 2021), which offer methodological and practical guidance for the production of direct and indirect estimates of SDG indicators having surveys as their main or preferred data source. This technical report presents a case study based on the so-called “projection estimator”, allowing the integration of two independent surveys for the production of synthetic disaggregated estimates. In particular, the publication presents a practical exercise focused on the production of disaggregated estimates for SDG Indicator 2.1.2, on the Prevalence of Moderate or Severe Food Insecurity in the population based on the Food Insecurity Experience Scale (FIES). This application – based on survey microdata from Malawi – expands and enriches the brief practical exercise presented in the Guidelines.




Practical Guidebook on Data Disaggregation for the Sustainable Development Goals


Book Description

The "leave no one behind" principle espoused by the 2030 Agenda for Sustainable Development requires measures of progress for different segments of the population. This entails detailed disaggregated data to identify subgroups that might be falling behind, to ensure progress toward achieving the Sustainable Development Goals (SDGs). The Asian Development Bank and the Statistics Division of the United Nations Department of Economic and Social Affairs developed this practical guidebook with tools to collect, compile, analyze, and disseminate disaggregated data. It also provides materials on issues and experiences of countries regarding data disaggregation for the SDGs. This guidebook is for statisticians and analysts from planning and sector ministries involved in the production, analysis, and communication of disaggregated data.




Using small area estimation for data disaggregation of SDG indicators


Book Description

This technical report presents a case study based on the use of a small area estimation (SAE) approach to produce disaggregated estimates of SDG Indicator 5.a.1 by sex and at granular sub-national level. In particular, after introducing the framework for using SAE techniques, the report discusses a possible model-based technique to integrate a household or agricultural survey measuring the indicator of interest with census microdata, in order to borrow strength from a more comprehensive data source and produce estimates of higher quality. The discussed estimation approach could also be extended or customized for the integration of survey data with alternative data sources, such as administrative records, and/or geospatial information, and for the disaggregation of other (SDG) indicators based on survey microdata.




Integrating surveys with geospatial data through small area estimation to disaggregate SDG indicators at subnational level


Book Description

The present technical report illustrates a case study on the adoption of small area estimation techniques to produce granular sub-national estimates of SDG Indicators 2.3.1 and 2.3.2, by integrating survey microdata with auxiliary information retrieved from various trustworthy geospatial information systems. The technical report provides practical guidance to national statistical offices and other institutions wanting to implement small area estimation techniques on SDG Indicators 2.3.1 and 2.3.2 or similar indicators based on surveys microdata.




Tracking SDG targets on health and nutrition: Challenges and opportunities for streamlining surveys


Book Description

The achievement of global sustainable development goals (SDGs) depends largely on India’s progress, given the country’s massive size and its moderate historical success in key health and nutrition outcomes over the last several years. This further increases the relevance and need for effective monitoring of India’s performance, through timely and disaggregated data, which ensures systematic assessments and course-correction. As India will be depending mainly on surveys to supply target-related data in the medium run, this paper classifies existing health and nutrition indicators from the draft National Indicator Framework (NIF), in terms of data availability. By highlighting the gaps in available data, the authors make specific recommendations to streamline existing surveys to align them with the requirements of an NIF for the SDGs. The authors review the draft NIF released by the Ministry of Statistics and Programme Implementation (MoSPI), and propose a revised one as part of this exercise.




Introduction to Small Area Estimation Techniques


Book Description

This guide to small area estimation aims to help users compile more reliable granular or disaggregated data in cost-effective ways. It explains small area estimation techniques with examples of how the easily accessible R analytical platform can be used to implement them, particularly to estimate indicators on poverty, employment, and health outcomes. The guide is intended for staff of national statistics offices and for other development practitioners. It aims to help them to develop and implement targeted socioeconomic policies to ensure that the vulnerable segments of societies are not left behind, and to monitor progress toward the Sustainable Development Goals.





Book Description




The Sustainable Development Goals Report 2017


Book Description

The aim of this report is to present an overview of the 17 Goals using data currently available to highlight the most significant gaps and challenges.




Sustainable Results in Development Using the SDGs for Shared Results and Impact


Book Description

Governments and providers of development co-operation increasingly use Sustainable Development Goal indicators to guide their policies and practices. The close examination of three large recipients of development co-operation: Ethiopia, Kenya and Myanmar across the sectors of Education, Sanitation and Energy reveals four inter-related challenges in using SDG indicators at country level.