High Visibility: How Disaggregated Metrics Help to Reduce Multidimensional Poverty

OPHI Briefings

OPHI Briefing 28

Using the Winter 2014/2015 MPI estimations, this briefing note demonstrates how disaggregated data provide a more detailed picture of the interlinked conditions of the poorest, so that policies can be most effectively designed and targeted. Poverty is analysed by sub-national regions, revealing a clearer picture of where the poorest people in the world live.

Citation: Alkire, S. and Robles, G. (2-15). 'High visibility: How disaggregated metrics help to reduce multidimensional poverty', OPHI Briefing 28, Oxford Poverty and Human Development Initiative (OPHI), University of Oxford.

Multidimensional poverty, Multidimensional Poverty Index, MPI, poverty measurement
OPHI Briefing 28 cover image.

OPHI Briefing 28 cover image.

Sabina Alkire and Gisela Robles Aguilar
Series Name
OPHI Briefings
Publication date
Publication Number
B 28