After one hundred days of detecting the first case of Coronavirus disease 2019 (COVID-19) in Colombia, a research study was carried out regarding the geographic distribution of COVID-19 cases by departments and districts in the country. Objective: to compare if there are differences in the averages of positive cases, deaths and recoveries by departments and districts in Colombia. Materials and Methods: the database including people infected with COVID-19 was used, with the information collected as of June 13 2020. The T Student test was used for the statistical analysis of a sample in the SPSS v 25 statistical package. Results: the p-value obtained for positive cases is equal to 0.492, for recoveries equal to 0.897, and for deaths equal to 0.819, in all three cases the p-value is greater than α =0.05, thus, the hypothesis (Ho) is accepted, indicating the T Student test applied to a sample resulted in no significant differences between the score for the population and the score obtained for the COVID-19 sample. Conclusions: the Andean zone of Colombia has a higher number of infected people, due to high population density, whereas, it is the opposite across the Amazon and Orinoquia regions. In addition, the same ratios are maintained for geographical regions in terms of recoveries and deaths.