Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet #Preprint #PeerReviewMe: Warning: This is a unreviewed preprint. Readers are warned that the document has not been peer-reviewed by expert/patient reviewers or an academic editor, may contain misleading claims, and is likely to undergo changes before final publication, if accepted, or may have been rejected/withdrawn. Readers with interest and expertise are encouraged to sign up as peer-reviewer, if the paper is within an open peer-review period. Please cite this preprint only for review purposes or for grant applications and CVs (if you are the author). Background: Mortality from external causes is a significant public health concern globally, impacting both lives and economies. This study examines the spatiotemporal dynamics of such mortality in Brazil over 23 years, from 2000 to 2022, using data from the Brazilian Mortality Information System (SIM). We employed Joinpoint regression for temporal trends, Moran's I for spatial analysis, and Poisson scanning statistics for spatiotemporal patterns. The study recorded 3,240,023 deaths, with the highest rates among men and young adults (20-39 years). Major causes included assaults (36.61%), transport accidents (26.55%), falls (7.83%), and self-harm (7.43%). Despite an overall decreasing trend in mortality, increases were observed in the North and Northeast regions and among the elderly. High-risk areas were primarily in the North, Northeast, and Central-West regions. Although there was a reduction in mortality from external causes, it was not uniform across all regions. Men and young adults remain the most affected, with the North, Northeast, and Central-West regions exhibiting the highest mortality risks. Objective: Mortality from external causes is a significant public health concern globally, impacting both lives and economies. This study examines the spatiotemporal dynamics of such mortality in Brazil over 23 years, from 2000 to 2022, using data from the Brazilian Mortality Information System (SIM). Methods: We employed Joinpoint regression for temporal trends, Moran's I for spatial analysis, and Poisson scanning statistics for spatiotemporal patterns. Results: The study recorded 3,240,023 deaths, with the highest rates among men and young adults (20-39 years). Major causes included assaults (36.61%), transport accidents (26.55%), falls (7.83%), and self-harm (7.43%). Despite an overall decreasing trend in mortality, increases were observed in the North and Northeast regions and among the elderly. High-risk areas were primarily in the North, Northeast, and Central-West regions. Conclusions: Although there was a reduction in mortality from external causes, it was not uniform across all regions. Men and young adults remain the most affected, with the North, Northeast, and Central-West regions exhibiting the highest mortality risks. Clinical Trial: Although there was a reduction in mortality from external causes, it was not uniform across all regions. Men and young adults remain the most affected, with the North, Northeast, and Central-West regions exhibiting the highest mortality risks.