Category Archives: Briefing Document

Defining MPI Dimensions through Participation: The Case of El Salvador

OPHI Briefing 49 (pdf, 4pp)

How to choose dimensions and indicators that better target public policies? This question was asked in El Salvador in the early stages of creating the MPI-ES. Several paths were tested. There were many suggestions for dimensions and indicators. But, understanding that poverty is more than income level, which dimensional deprivations are felt most by the poor population? To answer this question, El Salvador conducted a participatory process that was instrumental in defining the dimensions and indicators of the final index.

Author: Carolina Moreno

Year: 2017

Global Multidimensional Poverty Index 2017 (2 page briefing)

OPHI Briefing 48 (pdf)

The global MPI is a new generation of multidimensional measures that supports key priorities in the Sustainable Development Goals (SDGs). High-resolution poverty diagnostics are needed to leave no one behind. The global MPI is disaggregated by children, disability status, sub-national regions and rural/urban areas. Linked indices of destitution and severe poverty highlight the very poorest. The SDGs call for analyses of interlinkages across indicators, and the global MPI is built upon household-level multidimensional poverty profiles. The SDGs advocate integrated multisectoral policies. The global MPI unfolds to show the composition of poverty by indicator nationally, and in every disaggregated group.

Authors: Sabina Alkire and Gisela Robles

Year: 2017

Global Multidimensional Poverty Index 2017 (16 page briefing)

OPHI Briefing 47 (pdf)

The 2017 global Multidimensional Poverty Index (MPI) provides a headline estimation of poverty and its composition for 103 countries across the world. The global MPI measures the nature and intensity of poverty, based on the profile of overlapping deprivations each poor person experiences. It aggregates these into meaningful indexes that can be used to inform targeting and resource allocation and to design policies that tackle the interlinked dimensions of poverty together.

Authors: Sabina Alkire and Gisela Robles

Year: 2017

Children’s Multidimensional Poverty: disaggregating the global MPI, Briefing 46

Brief46_thumbOPHI Briefing 46

With the adoption of the Sustainable Development Goals (SDGs), the international community affirmed the importance of eradicating child poverty, identifying within Goal 1 the need to reduce the proportion of men, women and children living in multidimensional poverty. The international definition of a child, also used here, is anyone less than 18 years of age.

Authors: Sabina Alkire, Christoph Jindra, Gisela Robles, Ana Vaz

Year: 2017

Multidimensional Poverty Index – Summer 2017: Brief Methodological Note and Results

MPI Briefing 44 (pdf)

The Multidimensional Poverty Index (MPI) Summer 2017 updates use the same parameters (dimensions, indicators, cutoffs and weights) and the same functional form (Alkire and Foster Adjusted Headcount Ratio M0) as in previous years. This brief methodological note presents the Summer 2017 MPI updates, and releases the tables with the full results: national MPI, destitution and vulnerability results, rural, urban, subnational region, changes over time, and complete estimations, as well as complementary data, dimensional breakdowns, and confidence intervals. Destitution data are now available for 102 countries. It first explains the main updates in the Summer 2017 MPI, following the guidelines for updates presented in the 2014 Methodological Note (Alkire, Conconi and Seth 2014b). It uses the MPI methodology that has been presented in detail in previous methodological notes (Alkire and Santos 2010; Alkire, Roche, Santos and Seth 2011; Alkire, Conconi and Roche 2013; Alkire, Conconi and Seth 2014b; Alkire and Robles 2015; Alkire, Jindra, Robles and Vaz 2016). Then it briefly describes the methodological assumptions considered for the estimation of each dataset. The results of these estimations are presented in the form of 7 main tables, 103 country briefings and the interactive databank, all available on OPHI’s website (www.ophi.org.uk).

Authors: Sabina Alkire and Gisela Robles

Year: 2017

National Roundtable & Dashboard for Poverty Reduction in Colombia

Brief45_thumbOPHI Briefing 45

Colombia launched its official multidimensional poverty measure in 2011 – the Colombian Multidimensional Poverty Index (C-MPI).[1]  The index was first used to establish specific policy goals for multidimensional poverty reduction (headcount ratio) as well as sector-specific targets within the National Development Plan – a mandatory and binding strategy that all incoming administrations must have approved by Congress at the beginning of their mandate.

Authors: Diego Zavaleta,  Roberto Angulo

Year: 2017

CONEVAL: institution-building for multidimensional poverty measurement in Mexico

OPHI briefing 44 OPHI briefing 44

In the early 2000s, Mexico launched a process of institution-building for its social development policy and the formulation of an official poverty measure, which led to the creation of the National Council for the Evaluation of Social Development Policy (CONEVAL) and the establishment of the first official multidimensional poverty measure in the world. Today, CONEVAL generates official multidimensional poverty estimates with representative data every two years at the state level and every five at the municipal level.

Authors: Diego Zavaleta, Carolina Moreno

Year: 2017

Multidimensional Poverty Index – Summer 2016: Brief Methodological Note and Results

Brief42_thumbOPHI Briefing 42

The Multidimensional Poverty Index (MPI) 2016 updates use the same parameters (dimensions, indicators, cutoffs and weights) and the same functional form (Alkire and Foster Adjusted Headcount Ratio M0) as in previous years. This brief methodological note presents the 2016 MPI updates, and releases the tables with the full results: national MPI, destitution and vulnerability results, rural, urban, subnational region, changes over time, and complete estimations, as well as complementary data, dimensional breakdowns, and confidence intervals. Destitution data are now available for 100 countries. It first explains the main updates in the 2016 MPI, following the guidelines for updates presented in the 2014 Methodological Note (Alkire, Conconi and Seth 2014b). It uses the MPI methodology that has been presented in detail in previous methodological notes (Alkire and Santos 2010; Alkire, Roche, Santos and Seth 2011; Alkire, Conconi and Roche 2013; Alkire, Conconi and Seth 2014b). Then it briefly describes the methodological assumptions considered for the estimation of each dataset. The results of these estimations are presented in the form of 7 main tables, 102 country briefings and the interactive databank, all available on OPHI’s website (www.ophi.org.uk).

Authors: Sabina Alkire, Christoph Jindra, Gisela Robles and Ana Vaz

Year: 2016

Pauvrete multidimensionnelle en Afrique

Brief43_thumbOPHI Briefing 43 (pdf)

Se basant sur des riches bases de données d’enquêtes auprès des ménages (EDS et MICS), l’indice international de pauvreté multidimensionnelle (IPM) recouvre 46 pays d’Afrique1 comptant un peu plus d’un milliard d’habitants. Parmi eux, 54%, c’est à dire 544 millions sont multidimentionnellement pauvres.

Auteurs: Sabina Alkire, Christoph Jindra, Gisela Robles et Ana Vaz

Year: 2016

Global Multidimensional Poverty Index 2016

Brief41_thumbOPHI Briefing 41 (pdf)

The Global Multidimensional Poverty Index (MPI) is an index of acute multidimensional poverty that covers over 100 developing countries. It assesses the nature and intensity of poverty, by directly measuring the overlapping deprivations poor people experience at once, then building up from this information. It provides a vivid picture of how and where people are poor, within and across countries, regions and the world, enabling policymakers to better target their resources at those most in need through integrated policy interventions that tackle the many different aspects of poverty together. The MPI was developed in 2010 by OPHI and the UNDP’s Human Development Report Office, and has been proposed as an indicator in the Sustainable Development Goals, which view ‘poverty in its many dimensions’.

Authors: Sabina Alkire and Gisela Robles

Year: 2016