Disaggregating Data For Development A Cost Effective Approach To Sdg Indicators 2 1 2 2 3 1 And 2 3 2 In Latin America Using Small Area Estimation
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Disaggregating data for development: a cost-effective approach to SDG Indicators 2.1.2, 2.3.1 and 2.3.2 in Latin America using small area estimation
Author: Food and Agriculture Organization of the United Nations
language: en
Publisher: Food & Agriculture Org.
Release Date: 2025-03-26
This paper presents the experience of the Food and Agriculture Organization of the United Nations (FAO) in providing technical assistance to four countries in Latin America – Brazil, Chile, Colombia and Ecuador – to produce small area estimates for three Sustainable Development Goal (SDG) indicators: SDG Indicator 2.1.2, on the prevalence of moderate and severe food insecurity in the population based on the Food Insecurity Experience Scale (FIES); SDG Indicator 2.3.1, measuring the average value of agricultural production per labour unit; and SDG Indicator 2.3.2, on the average income of small-scale food producers.The paper describes the methodological details and results of the case studies developed, showing how small area estimation can be used to increase the precision of estimates at the subnational level and produce predictions in estimation domains excluded from the sample. It discusses the policy implications of having SDG estimates at the subnational level, and how countries can use this information to formulate programmes and allocate funds. The paper concludes with recommendations on how small area estimation can be incorporated in the processes implemented at the national level to produce agriculture and food security statistics.
Practical Guidebook on Data Disaggregation for the Sustainable Development Goals
Author: Asian Development Bank
language: en
Publisher: Asian Development Bank
Release Date: 2021-05-01
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.
The Sustainable Development Goals Report 2017
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.