A Dissertation Submitted in Partial Fulfillment of the Requirements for the Award of the Degree of Masters of Science in Economics (MSc. Economics) of Mzumbe University 2013This study identifies and examines socio-economic factors, which influence child labour in tobacco farming. The study is based on the field survey conducted in Urambo District. Logistic regression modeling was used on a sample of 253 households to determine the influence of education level of parent household, household meals per day, gender, distance from home to school and family parenthood type on children participation in tobacco farming. The study found that the parent’s primary education and secondary education level, number of meals taken per day are strongly significant at 5%, 1%, 5% respectively and positive determinant of child labour in tobacco farming in the district. However, university/college education of parent household, gender and distance from home to school were not significant factors. Moreover, the outcomes of Odd ratio to be greater than one (1) give us some important indications about the future prospects of children participation in tobacco farming. Since the odd ratio of the variables one meal and two meals per day (indication of family wealth) are 6 and 2 respectively are greater than 1 then the odds of not participating in tobacco farming are greater per unit increase in meals taken. Thus, the children living in more wealthy families (three meals per day) are less likely to participate in tobacco farming. Since education odd ratio is less than 1 then the odds of experiencing the characteristic of children participation in tobacco farming is lower for children whose parents have high education level. Based on the findings, the study provides policy recommendations to address the problem of child labour in the area and in other areas facing similar problems.