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Spatially Informed Estimation of Child Multidimensional Poverty at Local Government Area Level in Nigeria: A Sae-Inspired Regression Approach Using Mics 2021 And Worldpop 2020 Data

This study produces Local Government Area (LGA) level estimates of child multidimensional poverty in Nigeria by integrating the 2021 Multiple Indicator Cluster Survey (MICS) with high-resolution WorldPop 2020 population density grids and conflict event data from ACLED. Using the Alkire-Foster framework, the national child Multidimensional Poverty Index (MPI) is estimated at 0.292, corresponding to a headcount ratio of 56% and an average intensity of 42.2%. This implies that approximately 55.7 million of Nigeria’s 99.6 million children experience deprivations in at least three indicators spanni…

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