The online Multidimensional Poverty Index Assist Tool (MAT) enables policy makers to construct a tailored national multidimensional poverty index (MPI). MAT tool empowers states to use data to assess the incidence and depth of multidimensional deprivations within their populations using transparent methods and ensures accountability. It aims to support states in tracking their status and growth and in simulating developmental shocks.
Dedicated to statisticians who are familiar with the data and are technically able to work with raw data to build relevant poverty indicators.
moreThe optimization tool identifies which indicators need to be targeted to reduce the MPI and reach an MPI target, it also identifies by how much these indicators would need to be reduced.
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The simulation module captures the effects of different types of shocks (e.g., economic, conflict or environment-related) on each MPI indicator.
moreThe MAT features always show all possible disaggregations by subnational regions, rural and urban areas, by gender, age groups and more. This uncovers inequalities between rural-urban areas, gender of the household head, and other socio-economic characteristics.
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MPIs go beyond borders: it’s adaptable to national regional, and global contexts. Here are its key aspects:
National MPIs serve as the basis for Voluntary National Reviews (VNRs), playing a crucial role in monitoring and advancing towards the Sustainable Development Goal 1- to eradicate poverty in all its forms. It is a versatile tool for planning, monitoring, and evaluation, empowering governments in various dimensions, such as:
While the national MPI focuses on policies within a country, regional MPIs, such as the revised Arab MPI, and the global MPI, widen the impact range. Examples include: