Related items
Showing items related by metadata.
-
Book (series)Manual / guideSampling and estimation guide for SDG Indicator 2.4.1 under multiframe designs 2024
Also available in:
This guide describes the estimation process for Sustainable Development Goal (SDG) Indicator 2.4.1 on agricultural sustainability, considering its subindicators, across different levels of disaggregation within a country. It complements the 2021 Sampling guidance for SDG Indicator 2.4.1 published by FAO. While the former brings useful information concerning a general sampling and estimation perspective, this guide considers the use of dual-frame sampling designs in national agricultural surveys, which combine area frames with list frames. Although the focus is on dual-frame designs, the results described in this guide also apply to situations relevant to countries using agricultural surveys based on single area or list frames. Methodological documents and reports of practical experiences that reflect the realities of various countries, including Colombia, Costa Rica, Mexico and Peru, were used as the basis for developing the topics in this guide, as well as for providing examples of the fundamental concepts in this initial version. The paper was commissioned by FAO and prepared by FAO consultant Cristiano Ferraz under the supervision of the FAO Regional Office for Latin America and the Caribbean regional statistician. -
Book (stand-alone)Technical studyAn indirect estimation approach for disaggregating SDG indicators using survey data
Case study based on SDG Indicator 2.1.2
2022Also 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. -
Book (series)Working paperDisaggregating 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.
Users also downloaded
Showing related downloaded files
-
-
DocumentOther documentFAO - Perfiles nutricionales por paises: Argentina 2001
Also available in:
No results found.El estado nutricional de los niños menores de 6 años atendidos en el sistema público de salud en 1995 presenta en las jurisdicciones provinciales analizadas un patrón antropométrico común, en el que los principales problemas nutricionales son el déficit de talla (5 a 20%) y el sobrepeso (5 a 16%); la prevalencia de emaciación está dentro de rangos considerados bajos (Cuadro 4a-1 y Mapa 3). Se estima que los valores encontrados estarían reflejando una adecuada prevención y/o una exitosa rehabilit ación nutricional a través del Programa de Salud Materno Infantil. Se observan sin embargo diferencias regionales y en particular el sobrepeso afecta más a los niños de Santa Cruz (16%) y de Chubut (12%) (Mapa 4). -
Book (stand-alone)GuidelineRecommendations for prudent and responsible use of veterinary medicines in aquaculture 2019
Also available in:
No results found.These Technical Guidelines on the Prudent and Responsible Use of Veterinary Medicines in Aquaculture (No. 5 Suppl. 8) are developed to support Section 9 – Aquaculture Development of FAO’s Code of Conduct for Responsible Fisheries (CCRF) and The FAO Action Plan on Antimicrobial Resistance 2016–2020. They also support the international aquatic animal health standards of the World Organisation for Animal Health (OIE), the food safety standards of the FAO/WHO Codex Alimentarius and the One Health platform under the FAO/OIE/WHO Tripartite Collaboration on antimicrobial resistance (AMR). Their objective is to assist countries in encouraging the prudent and responsible use of veterinary medicines (antimicrobials and other chemotherapeutants) in aquaculture production through appropriate government regulation and the promotion and encouragement of awareness and responsible use by the private sector. They emphasize, among the guiding principles, that responsible use of veterinary medicines in aquaculture requires collaboration among all stakeholders and a strong commitment to governance, awareness, best practices, surveillance and research, including monitoring of AMR, tracking of antimicrobial usage (AMU), assessing risk in different settings and evaluating strategies to reduce AMR and maintain efficacy of antimicrobials. They provide general guidance on the use of veterinary medicines in aquaculture to responsible government agencies, private-sector aquaculture producers and aquatic animal health professionals.