Analysis of the factors responsible for high youth unemployment rates in Wakiso District: a case study of Kajjansi LC1 Sub Urban Area

Abstract

The main objective of the study is to examine the factors responsible for high youth unemployment rate problem in Kajjansi as well as formulate possible solutions. Analysis was done using STATA and Excel with the dependent variable as the youth unemployment status. The findings indicated that age, youth education level (primary),parents education level (none) and work experience affected youth unemployment status in Kajjansi LC1 sub urban area at 5% level of significance . 1.023 is the partial regression coefficient of age (years) and tells us that with other factors held constant, as age(years) increases, say by 1 year, on average, the youth unemployment rate increases by 1.023.The Odds of youth unemployment among youths in Kajjansi LC1 sub urban area whose education level was primary(coefficient=1.112) were 2.51 times greater than that of youths whose education level was tertiary. This implies that youths whose education level was primary are more likely to be unemployed than those whose education level was tertiary. The Odds of youth unemployment among youths in Kajjansi LC1 sub urban area whose parent’s education level was none (coefficient= 1.978) were 0.356 times greater than that of youths whose parent’s education level was tertiary. 1.126 is the partial regression coefficient of work experience(years) and tells us that with other factors held constant, as work experience(years) increases, say by 1 year, on average, the youth unemployment rate reduces by 1.126.The majority of the respondents were males (55.2%), the largest proportion was single (62.9%) as well as 63% never had any employment The following recommendations are made: - Due to the fact that age significantly affects youth unemployment status whereby as one gets older the more chances of being unemployed, government should focus on creating more employment through industrialization for the growing number youths before they lose their skills since the more they grow up the higher chances of them being unemployed due to lack of skills Since youth education level affects the employment status youths are therefore advised to consider studying up to higher levels since those with higher education levels have higher chances of getting employed more than those with low education levels since the competition for jobs is too high. The study findings indicate that parent’s education has a significant effect about employment of the children this implies career guidance, connections and path choice for the children by parents. Therefore, I recommend that academic institution, and other possible organisations to organise career guidance to guide youths about how their education level may also affect their children’s education. Since respondents‟ years of experience affect youth employment status, policies should be set up for capable employers such as companies, organisations and institution to provide free internships, graduate trainee programs, school practice. These would equip them with experience and on job interactive and training