Socioeconomical Profile and Factors Associated with Migrated Rickshaw Pullers in Jahangirnagar University Campus, Bangladesh

Md. Torikul Islam; Sabina Yasmin; Nahid Salma

Abstract

AbstractRickshaw is a familiar and attractive form of transport in Bangladesh especially for short distance. Although, education is the main requirement to get job in Bangladesh, but the rate of education is still not enough for its population to manage a good job. Therefore, a major portion of illiterate and little literate people from different area, often try to find a way of income from different informal sectors such as rickshaw pulling. Thus, the study was conducted to know socioeconomical profile and associated factors of migrated rickshaw pullers in Jahangirnagar University Campus, Bangladesh. Information related to the socioeconomic condition such as age, marital status, religion, number of family member, number of children etc. and socioeconomic indicators from the rickshaw puller were collected. The study showed that 46% respondents were illiterate and 34.80% have only primary level education. Most of the rickshaw puller were migrated from rural area (88.40%) and lower developed districts like Mymensingh (22%), Kurigram (14.80%), Bhola (6.80%). The study reveals the main reasons for migration of the rickshaw pullers were poverty (57.60%), unemployment (31.20%) and natural disasters (6.80%). Pulling rickshaw without license (37.20%), no traffic jam (25.60%), low living rent and eating cost (19.60%) etc. are the main reasons for choosing Jahangirnagar University. The study concludes that rickshaw pulling is an easy income (cash) way of earning money but overall income and expenditure are not satisfactory, and it is not sufficient for livelihood. Keywords: Migrated, rickshaw pullers, socioeconomical, employment and transportationCite this ArticleMd. Torikul Islam, Sabina Yasmin, Nahid Salma. Socioeconomical Profile and Factors associated with Migrated Rickshaw Pullers in Jahangirnagar University Campus, Bangladesh. Research & Reviews: Journal of Statistics. 2020; 9(1):9-15p.