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.

Keywords:
Multidimensional poverty, Multidimensional Poverty Index, MPI, poverty measurement
Region:
Global
OPHI Briefing 28 cover image.

OPHI Briefing 28 cover image.

Authors
Sabina Alkire and Gisela Robles Aguilar
Series Name
OPHI Briefings
Publication date
2015
Publication Number
B 28