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Multidimensional Poverty Analysis

Blog post of the month: The 2016 Multidimensional Poverty Index was launched last week. What does it say?

Duncan Green's picture

Each month People, Spaces, Deliberation shares the blog post that generated the most interest and discussion. In June 2016, the featured blog post is "The 2016 Multidimensional Poverty Index was launched last week. What does it say?" by Duncan Green.


This is at the geeky, number-crunching end of my spectrum, but I think it’s worth a look (and anyway, they asked nicely). The 2016 Multi-Dimensional Poverty Indexwas published yesterday. It now covers 102 countries in total, including 75 per cent of the world’s population, or 5.2 billion people. Of this proportion, 30 per cent of people (1.6 billion) are identified as multidimensionally poor.

The Global MPI has 3 dimensions and 10 indicators (for details see here and the graphic, right). A person is identified as multidimensionally poor (or ‘MPI poor’) if they are deprived in at least one third of the dimensions. The MPI is calculated by multiplying the incidence of poverty (the percentage of people identified as MPI poor) by the average intensity of poverty across the poor. So it reflects both the share of people in poverty and the degree to which they are deprived.

The MPI increasingly digs down below national level, giving separate results for 962 sub-national regions, which range from having 0% to 100% of people poor (see African map, below). It is also disaggregated by rural-urban areas for nearly all countries as well as by age.

The 2016 Multidimensional Poverty Index was launched last week. What does it say?

Duncan Green's picture

This is at the geeky, number-crunching end of my spectrum, but I think it’s worth a look (and anyway, they asked nicely). The 2016 Multi-Dimensional Poverty Index was published yesterday. It now covers 102 countries in total, including 75 per cent of the world’s population, or 5.2 billion people. Of this proportion, 30 per cent of people (1.6 billion) are identified as multidimensionally poor.

The Global MPI has 3 dimensions and 10 indicators (for details see here and the graphic, right). A person is identified as multidimensionally poor (or ‘MPI poor’) if they are deprived in at least one third of the dimensions. The MPI is calculated by multiplying the incidence of poverty (the percentage of people identified as MPI poor) by the average intensity of poverty across the poor. So it reflects both the share of people in poverty and the degree to which they are deprived.

The MPI increasingly digs down below national level, giving separate results for 962 sub-national regions, which range from having 0% to 100% of people poor (see African map, below). It is also disaggregated by rural-urban areas for nearly all countries as well as by age.

A nice example of how government-to-government peer pressure can lead to innovation

Duncan Green's picture

John HammockGuest post from John Hammock of the Oxford Poverty & Human Development Initiative

In Duncan Green's thought-provoking blog ‘Hello SDGs, what’s your theory of change?’ he rightly identifies peer pressure as a potentially very effective means of governments coming to internalise the SDGs in their domestic processes and influencing others to follow suit. Let me give an instructive case study based on our experience at OPHI.

I think there is common ground that effective change must be owned by the implementers of change, not by donors or academics, not by consultants or think-tanks, not by well-wishers (or even bloggers).  Change happens in government when the change is owned and this happens when the policy maker sees how the policy will help both deal with the problem in real time and help the government in power.

Let’s take the case of multidimensional poverty and its measurement.  OPHI—an academic centre—developed at the end of 2008 the Alkire Foster method to measure multidimensional poverty, giving the world a practical tool to measure many deprivations that poor people face at the same time. Four years later, three ‘vanguard’ governments [to borrow Dunanc's phrase!], Mexico, Colombia and Bhutan, had adopted the measure but take-up elsewhere was painfully slow. Statisticians and geeks loved it, but governments were not following the starting three.

Weekly wire: The global forum

Roxanne Bauer's picture

World of NewsThese are some of the views and reports relevant to our readers that caught our attention this week.

How the pace of technological progress is redrawing the political map
PhysOrg
From power stations to factories, thermostats to smartphones, information to entertainment, the world is driven—and controlled—by digital technology. So it's no surprise that political and economic success, for businesses and nations, depends on how current they are with advances in technology. That's why Bhaskar Chakravorti and colleagues at the Fletcher School have created the Digital Evolution Index, a first-of-its-kind map of how, where and at what speed the use of digital technologies is spreading across the globe.

Global MPI 2015: Key findings
Oxford Poverty & Human Development Initiative
The Global Multidimensional Poverty Index (MPI) provides a range of resources. The Global MPI was updated in June 2015 and now covers 101 countries in total, which are home to 75 per cent of the world’s population, or 5.2 billion people. Of this proportion, 30 per cent of people (1.6 billion) are identified as multidimensionally poor. In June 2015, our analysis of global multidimensional poverty span a number of topics, such as destitution, regional and sub-national variations in poverty, the composition of poverty.

Are We Measuring the Right Things? The Latest Multidimensional Poverty Index is Launched Today – What do You Think?

Duncan Green's picture

I’m definitely not a stats geek, but every now and then, I get caught up in some of the nerdy excitement generated by measuring the state of the world. Take today’s launch (in London, but webstreamed) of a new ‘Global Multidimensional Poverty Index 2014’ for example – it’s fascinating.

This is the fourth MPI (the first came out in 2010), and is again produced by the Oxford Poverty and Human Development Initiative (OPHI), led by Sabina Alkire, a definite uber-geek on all things poverty related. The MPI brings together 10 indicators, with equal weighting for education, health and living standards (see table). If you tick a third or more of the boxes, you are counted as poor.

Multidimensional poverty analysis: Looking for a middle ground

Francisco Ferreira's picture

Kathmandu, Nepal. Photo: © Simone D. McCourtie / World BankOver the last ten years or so, interest in multidimensional poverty analysis has really taken off - not only among academics, but also in the broader policy debate. No one seems to dispute that deprivations exist in multiple domains, and are often correlated. Looking at deprivations in health, education and other dimensions of well-being can complement the fundamental measurement of income and consumption-based poverty, illustrated by the World Bank poverty update announced yesterday. But agreement at this conceptual level clashes with often vociferous disagreement about how best to measure these deprivations.