Main Article Content
Human beings need to not to deprive socially, politically and economically. Thus, a minimum of living standard, wealth, empowerment, health and education are important means. The study tried to determine the multidimensional poverty index (MPI) and its determinants. The analysis was based the cross-sectional data obtained from 394 randomly sampled household living in the town in 2020.The result on the depth of multidimensional poverty index at k=5 report that 53% households in town are poor whereas the remaining 47 % of were found non-poor. The Logistic regression results show that the households are more likely to be multidimensional poor for lack of job opportunities, poor skill on self- employment, household size, dependency ratio, rural urban migration, poor self-employment skills, dependent attitude, poor family planning, lack of family solidarity, sustained illness, political instability, cost of living and drug addiction. On the other hand; household age, education, annual income, saving, rich family back ground, homeownership and household labour are the indicators found determining the chance of being multidimensional non-poor. Consequently, promoting education, hardworking, proper family planning, family solidarity, entrepreneurship, health insurance and saving to the households, and enhancing peace and stability in the region to promote investment and to reduce rural urban migration are important policy suggestions drawn.