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Network Structure of Multidimensional Poverty

Poverty is multidimensional. An individual or household experiencing poverty can suffer multiple disadvantages at the same time. Beyond the inability to afford basic needs, poverty can also mean insufficient access to education, health, sanitation, nutrition, and infrastructure.

Measuring multidimensional poverty offers a more comprehensive view of the challenges people face when experiencing poverty, and thus helps inform policy approaches countries can take to address these challenges.

However, despite progress in multidimensional poverty measurement, policy remains fragmented due to limited understanding of how poverty indicators interconnect and co-evolve.

New research aims to address this challenge by introducing the Poverty Space network and the Poverty Centrality measure.

  • The Poverty Space network is a visual representation that maps out the structural relationships between various dimensions of poverty, and helps to see how different aspects of deprivation are interconnected.
  • The Poverty Centrality measure helps assess the importance of each dimension for the purpose of policy intervention.

Using data from the Oxford Poverty and Human Development Initiative/UNDP Global Multidimensional Poverty Index, researchers have developed charts for 67 developing countries to illustrate these concepts. The dashboard below can be used to visualize the Poverty Space of a country in a given year and download the relevant data used to construct this visualization.

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Africa
Burundi 2010 | 2017
Central African Republic 2010 | 2019
Cameroon 2011 | 2018
Republic of the Congo 2005 | 2015
Ethiopia 2011 | 2016
Gabon 2000 | 2012
Ghana 2011 | 2018
Gambia 2013 | 2020
Guinea-Bissau 2014 | 2019
Kenya 2009 | 2014
Liberia 2013 | 2020
Lesotho 2009
Madagascar 2009 | 2018
Mali 2006 | 2018
Mozambique 2003 | 2011
Malawi 2010 | 2016 | 2020
Namibia 2007 | 2013
Niger 2006 | 2012
Nigeria 2013 | 2018
Rwanda 2010 | 2015
Sudan 2010 | 2014
Senegal 2005 | 2017 | 2019
Sierra Leone 2013 | 2019
São Tomé and Príncipe 2009 | 2019
Swaziland 2010 | 2014
Chad 2010 | 2015
Togo 2010 | 2014 | 2017
Tanzania 2010
Uganda 2011 | 2016
Zambia 2007 | 2014 | 2018
Zimbabwe 2011 | 2015 | 2019
East Asia and Pacific
Indonesia 2012 | 2017
Laos 2012
Mongolia 2010 | 2013
Philippines 2013 | 2017
Thailand 2012 | 2019
Timor-Leste 2010 | 2016
Vietnam 2021
Europe and Central Asia
Albania 2009 | 2018
Armenia 2010 | 2016
Bosnia & Herzegovina 2006 | 2012
Kazakhstan 2011 | 2015
Kyrgyz Republic 2006 | 2014 | 2018
Moldova 2005 | 2012
North Macedonia 2011 | 2019
Montenegro 2013 | 2018
Serbia 2010 | 2014 | 2019
Turkmenistan 2006 | 2019
Ukraine 2007 | 2012
Latin America and the Caribbean
Belize 2011 | 2016
Bolivia 2003 | 2008
Colombia 2010 | 2016
Dominica 2007 | 2019
Guyana 2009 | 2014 | 2020
Honduras 2006 | 2012 | 2019
Haiti 2012 | 2017
Peru 2013
Suriname 2006 | 2010
Trinidad & Tobago 2006 | 2011
Middle East and North Africa
Country Year
Afghanistan 2011 | 2016
Algeria 2013
Egypt 2008 | 2014
Iraq 2011 | 2018
Jordan 2012 | 2018
West Bank & Gaza 2014 | 2020
Tunisia 2012 | 2018
South Asia
Country Year
Bangladesh 2014 | 2019
Nepal 2011 | 2016 | 2019
Pakistan 2013 | 2018
This innovative approach can help guide policies to be more impactful across multiple dimensions of poverty, and boost progress toward acheiving Sustainable Development Goal 1: end poverty in all its forms everywhere.
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