Thumbnail Image

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

Case study on SDG Indicators 2.3.1 and 2.3.2












Khalil, C.A & di Candia, Stefano. 2023. Integrating surveys with geospatial data through small area estimation to disaggregate SDG indicators at subnational level – Case study on SDG Indicators 2.3.1 and 2.3.2. Rome, FAO. 





Also available in:
No results found.

Related items

Showing items related by metadata.

  • Thumbnail Image
    Book (stand-alone)
    Technical study
    An indirect estimation approach for disaggregating SDG indicators using survey data
    Case study based on SDG Indicator 2.1.2
    2022
    Also available in:
    No results found.

    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.
  • Thumbnail Image
    Book (series)
    Working paper
    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 2025
    Also available in:
    No results found.

    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.
  • Thumbnail Image
    Book (stand-alone)
    Technical book
    Using small area estimation for data disaggregation of SDG indicators
    Case study based on SDG Indicator 5.a.1
    2022
    Also available in:
    No results found.

    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.

Users also downloaded

Showing related downloaded files

  • Thumbnail Image
    Book (stand-alone)
    General interest book
    仝毖谄谏 70 年 (1945 年-2015 年) 2015
    本书讲述了粮农组织七十年的历史、其主要人物及奋斗历程。我们对粮农组织档案进行了挖掘,整理出未曾发表过的黑白图像,从而展现出描绘本组织初年的那些令人回味的画面组合。本书还记录了粮农组织取得的十大成就,例如根除牛瘟,确保全球生物多样性所必需的协议《植物遗传资源条约》,对保护海洋生态系统至关重要的《负责任渔业行为守则》等。粮农组织在未来几年面临的重大挑战也得到了阐述并归纳为两大主题:消除饥饿和营养不良,以及我们要采取什么行动来应对气候变化。本出版物通过把读者带到粮农组织区域办事处章节以了解各办事处的区域举措。粮农组织作为一个中立论坛每年举办许多会议,我们谨向您敞开粮农组织驻罗马总部的大门,让您作一次虚拟观光,徜徉于本组织织不同国家厅的各个角落。本书浅显易懂、设计简明且具有吸引力,适合于任何读者。
  • Thumbnail Image
    Booklet
    High-profile
    FAO Strategy on Climate Change 2022–2031 2022
    The FAO Strategy on Climate Change 2022–2031 was endorsed by FAO Council in June 2022. This new strategy replaces the previous strategy from 2017 to better FAO's climate action with the Strategic Framework 2022-2031, and other FAO strategies that have been developed since then. The Strategy was elaborated following an inclusive process of consultation with FAO Members, FAO staff from headquarters and decentralized offices, as well as external partners. It articulates FAO's vision for agrifood systems by 2050, around three main pillars of action: at global and regional level, at country level, and at local level. The Strategy also encourages key guiding principles for action, such as science and innovation, inclusiveness, partnerships, and access to finance.
  • Thumbnail Image
    Book (stand-alone)
    Technical study
    Basic texts of the Food and Agriculture Organization of the United Nations. 2017 edition
    Volumes I and II
    2017
    The Nations accepting this Constitution, being determined to promote the common welfare by furthering separate and collective action on their part for the purpose of: raising levels of nutrition and standards of living of the peoples under their respective jurisdictions; securing improvements in the efficiency of the production and distribution of all food and agricultural products; bettering the condition of rural populations; and thus contributing towards an expanding world economy and ensuring humanity's freedom from hunger; hereby establish the Food and Agriculture Organization of the United Nations, hereinafter referred to as the "Organization", through which the Members will report to one another on the measures taken and the progress achieved in the field of action set forth above.