This study tries to determine the spatial factors that explain school dropout risk across Tunisian delegations. The spatial exploratory analysis allowed us to map the hotspots of school dropout risk. This phenomenon is spreading like a pandemic with spillover effects on neighboring delegations leading to high school dropout clusters probability in the northwest and south of the country. Durbin's spatial model reveals that a territory characterized by high illiteracy rates and marginal construction, business and non-public service jobs increases school dropout risk. Women's education level and their participation in economic sectors like industry, agriculture and public services reduces the probability of dropping out in the neighborhood. Accessibility to educational, cultural and sports facilities in the neighborhood contributes to reducing school dropout risk. Inability of the regional labor market to absorb university graduates favors early school dropout.