FACTORS ASSOCIATED WITH HIGH FERTILITY IN”BHAKKAR GABOOL GOTH”: CASE STUDY

Sanam Wagma Khattak
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Sanam Wagma Khattak: Department of Economics, University of Peshawar

Sukkur IBA Journal of Management and Business, 2018, vol. 5, issue 2, 1-23

Abstract: Pakistan is holding only 0.67 percent of the whole world’s area but has 2.63 percent of world population. In 1951 it ranked at 14th position in the world’s populous countries. In 2017-18 its population has been increased to 200,813,818 million approximately five times higher. With this high population it reached to 6th most thicklypopulated country in the world. Human fertility is not a personal decision but it is a mixture of factors, which differ among places, according to specific conditions of particular areas & cultures. The aim of current research is to determine major factors that encourage high child ever born in urban slum area of Karachi” Bhakkar Gabool Goth”. Questionnaire was filled up from 100 ever married house hold women through simple sampling method based on socio economic determinants like respondent’s age and their husband’s income/education level/place of childhood residence, etc. The analysis was descriptive through percentages and number distribution of respondents and later on Chi-square test was used. The average number of kids were greater than 5 and out of 23 variables discussed in questionnaire only 14 variables show significant relation with fertility level which were respondent current age, education status of respondent/ her husband, work status of respondent and her husband, types of work, age at first marriage/first birth, infant/child mortality, contraception, sex preferences and willingness of respondent/ her husband to have more kids. More family health clinics should be established particularly in slum areas, females must have proper education to encourage delayed marriages and contraception use should also be enhanced through media or health visitors

Keywords: Fertility; Socio-Economic Determinants; Questionnaire; Random Sample; Chi-square distribution (search for similar items in EconPapers)
Date: 2018
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