The Federal Government has revealed that the results of the latest Multidimensional Poverty Index (MPI) report will be used as a policy tool for targeted resource allocation.
The report revealed that 133 million Nigerians are multidimensionally poor Clem Agba, minister of state for budget and national planning, said this at the launch of the 2022 MPI report on Thursday in Abuja, organised by the National Bureau of Statistics (NBS).
Agba said the sub-national MPI, which was conducted across the 109 editorial districts, was aimed at investigating why there was a disconnect between available social welfare opportunities and their uptake.
“The MPI is aimed at influencing the design and implementation of projects and also to be used as a policy tool for targeted resource allocation,” Agba said.
“The 2022 Nigeria Multidimensional Poverty Index is not just another poverty measurement tool but one useful for influencing policies.
“This report provides a more comprehensive view of poverty by not only revealing who is poor but in what way and to what degree of intensity.
This had turned it into a very practical resource for addressing the problem of poverty in all its forms and dimensions.
“The 2022 MPI survey results, therefore, equip us with valuable information available for the first time in our country to adequately and judiciously utilise in designing and implementing more efficient policies and programmes that effectively address poverty in a multidimensional way.”
The minister said the official flag-off of the survey took place in August 2021, with the first sub-national MPI survey being completed in February 2022.
He said the survey revealed how poverty levels across the states varied significantly, with the incidence of multidimensional poverty ranging from as low as 27 percent in Ondo to as high as 91 percent in Sokoto.
Agba said the set of deprivations also varied quite widely between states with similar poverty levels.
“For instance, in Ondo, educational and housing-related deprivations contribute more to multidimensional poverty than in Lagos, where food security, unemployment and shocks contribute more.
“So, using the MPI beyond measurements but as a policy allows to tailor interventions according to the deprivation profiles of each State, making them more efficient by making data-driven, and evidence-based policies that will result in greater impact.”
