National MPI Reports
This section includes national MPI reports authored or co-authored by OPHI.
This report presents the findings of the Multidimensional Poverty Index of Angola (IPM) -A) to guide more informed decisions on issues related to poverty eradication. The report is the product of the long and strategic partnership between the National Statistics Institute (INE), the United Nations Development Programme (UNDP) and the Oxford Poverty and Human Development Initiative (OPHI). Resulting from in-depth technical consultations, the Angolan MPI is made up four essential dimensions: health, education, quality of life and employment. The A-MPI will be an essential resource to inform the Integrated Plan for Local Development and Combat Poverty 2018–2022 (PIDLCP),which was approved by the Government of Angola. The index will be updated periodically, based on the results of the next IIMS 2020–2021 survey.
This report presents the findings of the national Multidimensional Poverty Index (MPI) for Ghana. The Ghana MPI was developed by the Ghana Statistical Services with support from the German Agency for International Cooperation (GIZ), the United Nations Development Programme (UNDP), the MPI National Steering Committee, and the University of Cape Coast. Technical support was provided by the Oxford Poverty and Human Development Initiative (OPHI).
Ghana now joins several countries from across Africa in using an official MPI to measure and track multidimensional poverty. The Ghana MPI tracks twelve indicators relating to three dimensions: Living Standards, Education and Health. Using data from the seventh round of the Ghana Living Standards Survey conducted between 2016/2017 survey periods and from the Ghana Multiple Indicator Cluster Surveys conducted in 2011 and 2018, the report provides a comprehensive picture of multidimensional poverty across the regions of Ghana.
This report presents the findings of the national Multidimensional Poverty Index (MPI) for the State of Palestine. The Palestinian MPI was developed by the Palestinian Central Bureau of Statistics (PCBS), and the United Nations Economic and Social Commission for Western Asia (ESCWA) with technical support from the National Team for Poverty Combating and the Oxford Poverty and Human Development Initiative (OPHI).
This report is the first that addresses multidimensional poverty in the State of Palestine. The MPI responds to a decree issued by the Palestinian Council of Ministers to evaluate multidimensional poverty within the preparation framework for achieving the Sustainable Development Goals (SDGs) and the Palestinian National Policy Agenda (NPA).
This report presents the findings of the national Multidimensional Poverty Index (MPI) for Maldives. The Maldives MPI was developed by National Bureau of Statistics in partnership with the UNICEF Regional Office South Asia (ROSA) and UNICEF Maldives with technical support from the Oxford Poverty and Human Development Initiative (OPHI).
Maldives joins the emerging group of small island developing states – now including Seychelles and Dominican Republic – that use an MPI to track multidimensional poverty. The challenges faced by Maldives include generational and gender inequalities and the need to provide equitable access to essential services across the islands. The MPI provides a tool to coordinate the efforts of multisectoral agencies working towards reducing inequality and poverty in the Strategic Action Plan 2019–2023, which is now being implemented in the context of the COVID-19 pandemic.
This report presents the findings of the national MPI for Seychelles. The Seychelles MPI was developed by the Poverty Alleviation Department and the National Bureau of Statistics of Seychelles with technical support from the Oxford Poverty and Human Development Initiative (OPHI). As a high-income country, and a Small Island Developing State, the challenges faced by Seychelles in poverty reduction are different from other contexts. Seychelles’ MPI, which includes innovative indicators on obesity, substance abuse and crime, can help policymakers identify those being left behind and target their programmes more effectively.
Produced by Statistics Sierra Leone and the Ministry of Planning and Economic Development, in collaboration with UNDP Sierra Leone and OPHI, this report was published in May 2019. It presents the new, official, Sierra Leone Multidimensional Poverty Index to monitor the reduction of poverty in all its dimensions and to provide relevant information to guide the implementation of social policies in Sierra Leone. The figures in this report provide critical baselines for the implementation of the Medium-term National Development Plan.
Authored by the National Statistics and Information Authority (NSIA) of Afghanistan in collaboration with OPHI, this Report was published in March 2019. It presents the new, official, Afghanistan Multidimensional Poverty Index (A-MPI) which aims to help the policy makers to coordinate the programmes that seek to reduce different forms of poverty.
This report is a joint product of the Central Bureau of Statistics of Nepal and OPHI. It presents Nepal’s official national Multidimensional Poverty Index (MPI) based on Multiple Indicator Cluster Survey (MICS) 2014.
This report, based on dataset drawn from national surveys on family and child health, assesses multidimensional poverty in the Arab region as part of the preparation for the implementation of the SDGs. The Report is available both in English and in Arabic.
Based on Multidimensional Poverty Index (MPI) developed by OPHI in collaboration with the HDRO–UNDP.
This report provides infographics describing the MPI constructed for Andhra Pradesh.
This report presents the first official national Multidimensional Poverty Index (MPI) for Pakistan. It was co-authored by OPHI and UNDP-Pakistan and published in 2016. The report marks the first time that estimates of multidimensional poverty in Pakistan have been provided at the national, provincial and district levels. Moreover, it includes the trend analysis of multidimensional poverty in Pakistan between 2004 and 2015. Built using the PSLM datasets, the MPI for Pakistan has been estimated for every two-year period since 2004/5, and can be disaggregated by both provincial and district level.