Measuring Multidimensional Parameters of Poverty Using Alkire and Foster Methodology in Qasimabad: A Case Study



This paper measures the multidimensional poverty using Alkire and Foster methodology for ten regions of Qasimabad on the primary data. No one indicator alone gives us clear picture of poverty as poverty is multidimensional in nature. We have taken three dimensions having equal weights, education, health and living standard. These dimensions are further divided in ten indicators, two for each, education and health, and six for living standards. Results suggest that region Gul Baig Chandio has the highest multidimensional poverty whereas Muslim Society has the lowest multidimensional poverty among the selected regions of Qasimabad. Results further suggest that the indicators which contribute more to multidimensional poverty are life expectancy, year of schooling, Assets, Improved sanitation, child mortality, flooring and child school attendance. Analyzing the data we came to know that the Percentage of people who are MPI poor in Qasimabad is 45(Incidence of poverty), whereas their average deprivations are 43.27% .Furthermore, Multidimensional poverty Index (MPI) is 19.47% in Qasimabad.

Keywords: Multidimensional poverty, incidence of poverty, Average deprivation

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