To realize the 2030 Agenda for Sustainable Development, a precise understanding of the target populations and progress made in addressing priorities is needed. This requires statistics to be produced for different population groups and geographical areas irrespective of their size.
Small area estimation (SAE) techniques have been proven to be very useful in providing reliable disaggregated data for a number of SDG indicators, such as poverty estimation, food insecurity and undernutrition, health-related indicators, unemployment rate, etc. There have been great demands from countries on providing technical guidance and training in this area, as highlighted by the UN Statistical Commission. Furthermore, in recent years, there has been increasing interest by NSOs to expand the use of SAE, including moving beyond traditional data sources for covariates such as census or administrative data, to incorporate other forms of geospatial data such as earth observation.
To respond to this need , ESCAP, together with UNICEF South Asia and UNSD, are providing capacity support to countries that have indicated the use of earth observation data with SAE as a priority. This support includes a facilitated e-learning course on SAE, as well as this in-person workshop relating to the use of EO data, to be held in Bangkok, Thailand between 21 and 25 October 2024.
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