Small Area Estimation: bringing theory to practice
Work area(s)
Teaser
This virtual side event at the 57th session of the United Nations Statistical Commission will focus on experiences of learning and capacity building in small area estimation (SAE). It will highlight the lessons learned, the challenges encountered and the partnerships formed to promote the consistent application of SAE in statistical production.
Event information
Date
17 Feb 2026, 10:00 - 11:30Event type
This side event is co-organised by UNSD, ECA, ECLAC, ESCAP and the World Bank.
The virtual side event Small Area Estimation: bringing theory to practice will focus on experiences in learning and capacity building on small area estimation, highlighting how national statistical offices and partners are strengthening skills and institutional capacity to apply SAE in practice. Drawing on country experiences and training initiatives, the event will explore what has worked, common challenges, and lessons learned in building sustainable capacity for SAE, including the integration of survey and geospatial data. The discussion will also consider how peer learning, technical guidance, and partnerships can support countries in moving from training to regular, production-level use of small area estimation.
Contenido relacionado
57th Session of the United Nations Statistical Commission
The Statistical Commission is the highest body of the global statistical system, responsible for setting standards and developing methodologies for international statistical work.
Schedule
UNSD
Introduction and overview
David Newhouse, Senior Economist, World Bank
World Bank : work on SAE and country projects
Training
Regional commissions (UNECA, UNECLAC and UNESCAP) : progress update in the past year
- Sovannaroth Tey, UNESCAP
- Angela Kiconco, UNECA
- Andres Gutierrez Rojas, UNECLAC
Country examples
- Javiera Alejandra Torres Aguirre, National Statistics Institute of Chile, Chile
- Manu Edward Owusu, Statistician, Ghana Statistical Service, Ghana
- Faiza Rusrianti Binti Tajul Arus, Statistician, Department of Statistics Malaysia, Malaysia
Q&A
Closing