Virtual Training on SDG indicators 2.3.1 and 2.3.2, African countries
11/10/2021 - 14/10/2021
FAO organized a Virtual training on SDG indicators 2.3.1 and 2.3.2 that took place from 11 to 14 October 2021. The objective was to build capacity of the national staff from 12 African countries on the methodology, data collection tools and reporting mechanism of SDG indicators 2.3.1. and 2.3.2.
Background
The Sustainable Development Goals (SDG) were adopted at the United Nations Summit in September 2015: Transforming our World, the 2030 Agenda for Sustainable Development. A list of 17 SDGs was adopted, including SDG 2: Ending Hunger achieve Food Security and improved nutrition and promote sustainable agriculture. This Goal was broken down into 8 targets, including target 2.3: Double agriculture productivity and Income of small scale food producers. FAO is the custodian agency of 21 indicators, including indicators 2.3.1 and 2.3.2.
In 2018, indicators 2.3.1 and 2.3.2 have been reclassified as Tier II, which means that they now have an internationally recognized methodology and are ready for data collection, computation and reporting. As for the other Tier II indicators, FAO is working closely with its member states to develop their capacity on data collection and monitoring, for SDG 2.3.1 and 2.3.2.
Given the context of COVID-19 pandemic and resulting restrictions on international travels, the delivery method of FAO capacity development activities planned to support countries on the methodology and data collection of Tier II SDG indicators had to be adapted to the new context. Traditional methods based on Face to Face trainings had to be replaced by Virtual ones.
Objectives of the training
The objectives of this virtual training were to:
- Build capacity of the staff in national statistical offices of invited countries on SDG indicators 2.3.1 and 2.3.2 methodology, compilation and interpretation;
- Introduce the tools for data collection (including an overview of possible data sources);
- Discuss the necessary data items and data disaggregation dimensions to compute and report on indicators 2.3.1 and 2.3.2;
- Identify the existing data gaps and discuss country plans to fill the gap in the short and medium term.
Outputs
The virtual trainings should help participants in evaluating the availability of micro data needed to compute indicators 2.3.1 and 2.3.2, understanding its measurement challenges and what could be an effective data collection and reporting mechanism. Particularly, the following outputs are expected from the virtual trainings:
- About 50 staff trained on the methodology and tools for SDG indicator 2.3.1 and 2.3.2, so that its adoption at the country level and its reporting to FAO can be supported;
- Brief action plan summarizing the current situation of data availability to compute indicators 2.3.1 and 2.3.2, and strategies to fill the remaining data gaps.
Presentations:
- SDG indicators 2.3.1 and 2.3.2: Introduction and objectives of the virtual training (Mr. Naman Keita, Senior Statistician, Office of the Chief Statistician, FAO)
- Introduction to SDG indicators 2.3.1 and 2.3.2 (Mr. Yakob Seid, Statistician, Office of the Chief Statistician, FAO)
- Defining and identifying Small-scale food producers to monitor indicators 2.3.1 and 2.3.2 (Ms. Aida Khalil, Statistician, Office of the Chief Statistician, FAO)
- Step by step implementation of the small-scale food producers definition for SDG Indicators 2.3.1 and 2.3.2 (Ms. Aida Khalil, Statistician, Office of the Chief Statistician, FAO)
- Methodology and steps for computing indicators 2.3.1 and 2.3.2 (Mr. Naman Keita, Senior Statistician, Office of the Chief Statistician, FAO)
- Data sources and data disaggregation for SDG Indicators 2.3.1 and 2.3.2 (Ms. Aida Khalil, Statistician, Office of the Chief Statistician, FAO)
- Training on SDG indicator 2.3.1 and 2.3.2: Prepare the data. Cape Verde as an example (Mr. Max Shang, Statistician, Office of the Chief Statistician, FAO)
- Practical exercises on computing indicators 2.3.1 and 2.3.2 (Cape Verde as an example) (Mr. Audrier Sanou, Statistician, Statistics Division, FAO)
- Integrated Agriculture Surveys AGRIS and 50x2030 Initiative recommended data sources for SDG 2.3.1 and 2.3.2 (Mr. Neli Georgieva, ESS Survey Team, FAO)
Country presentations
- South Africa: Agriculture Statistics
- Ethiopian Agriculture Data for SDG 2.3.1 and 2.3.2
- Cabo Verde. Enquête agricole permanente
- Mozambique: Baseline survey 2020
- Lesotho: Agricultural Surveys
Recordings:
• Day 1
(https://fao.zoom.us/rec/share/wSfoAVopeFvfuv812iN-bi49BPQgonLYe3OquRDYcijBj1Cyf2YG8JFIE0AuCnc.Ad5f455YMLoJz9Oe). Access Passcode: RBT+45ik
• Day 2
(https://fao.zoom.us/rec/share/RC5avcSkWMCyNrlH-WwEx90DkZNZeu46nV9ByyuiGlZnPASh9pIdiROVuyvy1dOG.j-rk19wAVtYsP7E6). Access Passcode: @MM%0m=S
• Day 3
(https://fao.zoom.us/rec/share/uH4uAZbkavRurQcfotf2FAAA3GOZbJa0NvMloI2LdjQSkYETFcGBE6B0ZbVPaVGh.XXldN2q0m6qpuPLi) Access Passcode: 4iEMv=$M
• Day 4
(https://fao.zoom.us/rec/share/t1_VWr87yMIU5WH8YcPbtJgVyaqpF0F981gKYev7gOvqT2-ECZlQU1vc9xr9jnWM.Pego6Ixr2cMqEsPY) Access Passcode: k4eH%[email protected]
