Measuring Multidimensional Poverty in Kabul

Abstract

The main aim of this study is to measure the extent of multidimensional poverty in Kabul and compare different areas. The research method is a survey. The data collection tool is a researcher-made questionnaire. The statistical population of the study is all households living in Kabul. Since the residents of Kabul is over 6 million people, we use Cochran's formula. We selected 300 families. According to the research background, the judges determined the validity of the questionnaire. We used Cronbach's Alpha calculation to determine the questionnaire's reliability. The value of which was (78.9%) on average for different sections. To perform statistical tests, we use SPSS software. The results show that generally, households in Kabul are not the poor according to the dimensions and criteria of multidimensional poverty; because the maximum deprivation rate is less than (40 %(. Partly, the highest poverty rates were related to the criteria such as (37%) deprivation in the roof of the house, (28.7%) deprivation in the wall of the house, (27.3%) deprivation of literacy in adults, and (18.8%) deprivation in the per capita room. The lowest deprivation rates were (0.3%) for electricity, (1%) for bathrooms, (2.3%) for children, (4.3%) for disability, (4.4%) for drinking water, (6.7%) for unemployment, (6.7%) for children, (8%) for household floors, and (9.7%) for health services. There are no restrictions on child labor, heating facilities, and cooking fuel. Also, among the surveyed areas, District 4 has the highest deprivation and poverty in terms of education, living standards, work, and housing compared to other selected areas of Kabul city.