Light refreshments will be served to in-person attendees.
It is widely acknowledged that for efficient progress towards the Sustainable Development Goals (SDGs) their interlinkages have to be taken into account. The global Multidimensional Poverty Index is based on ten deprivations indicators each of which is aligned with specific SDGs. The overlap of these deprivations already figures prominently in the way poverty is measured, i.e. as multiple deprivation. In this paper we complement previous analyses with anovel account to explore how exactly deprivations are interlinked and how these interconnections vary across the developing world. More specifically, we suggest analysing deprivation within our measurement framework using profiles, bundles, and co-deprivations which each illuminate particular aspects of the joint distribution of deprivations. Additionally, we also apply latent class analysis to corroborate our findings. We use data for 111 countries representing 6.1 billion people to document key patterns at the global level and selected findings for world regions and countries, which may serve as benchmark for more detailed analyses.We also discuss how our approach may (i) be adopted to different settings and (ii) inform multi-sectoral policy programmes.