Alternative methods for disaggregating Sustainable Development Goal indicators using survey data

Samples used in most surveys are either not large enough to guarantee reliable direct estimates for all relevant sub-populations, or do cover possible disaggregation domains. After having described a holistic strategy producing disaggregated of Sustainable Development Goal (SDG) indicators, this paper discusses alternative sampling and estimation methods that can be applied when sample the primary data source. In particular, focuses on strategies implemented at different stages statistical production process. At design stage, describes series approaches ensure “sufficient” size each domain. context, article highlights main limitations traditional shows how ad-hoc techniques could overcome some their key constraints. analysis it an indirect model-assisted approach integrate from independent censuses, eliminating costs deriving redesigning collection instruments, ensuring greater accuracy final estimates. A case study applying abovementioned method SDG Indicator 2.1.2 (Prevalence Moderate Severe Food Insecurity) is then presented along with its results.