Multi-Scalar Mapping of Potential Voters in Tunisia’s 2019 Presidential Elections

Abstract

In Tunisia, and after the 2011 revolution, the electoral potential increased between 2011, 2014, 2017, 2018 and 2019. Similarly, the structure of this potential, by age and sex, has evolved during these different periods. During the 2019 presidential and legislative elections, 6,620,983 people were registered to vote within Tunisia (www.isie.tn). The structure of this electoral potential deserves to be mapped and analysed on different scales. In this study and using the Hyperatlas software, we have mapped and analyzed the Tunisian electoral potential for 2019, by sex and age group. HyperAtlas is a means of multiscale analysis. It is a “tool for measuring and mapping territorial inequalities” (Ysebaert et al., 2011). After the creation of the registration database for elections, we were able to visualize and analyse the inequalities in distribution and structures between the three regions (North, Central and South), the six sub-regions (NE, NO, CE, CO, SE and SO), the 24 governorates of the territory and the 275 delegations of the country, on the one hand, and between the different units on the other hand.