Managing medical waste (MW) and its consequences is important in establishing public policies in any country, as it often contains hazardous material that can cause damage to human health and the environment. Statistical studies on MW usually focus on univariate analysis; however, knowing the interaction between variables is desirable. This study used Sparse HJ-Biplot and clustering techniques to analyze MW data across Ecuador in 2020, offering a comparative perspective with the HJ-Biplot method to reinforce the findings. The results revealed different patterns in the generation of MW in the 24 provinces of Ecuador, highlighting the most severe problems in largely populated areas such as Guayas and Pichincha, grouped in cluster 1. In contrast, clusters 2 and 3 included the remaining provinces, with limitations on MW treatment and management practices. These findings provide important aspects for managing MW and establishing assertive public policies to protect sensitive areas exposed to this contamination and warn neighboring countries.