Understanding poverty has long been a central concern for policymakers, researchers, and social planners. Traditional measures of poverty typically provide a static snapshot, identifying individuals or households below a certain income threshold at a specific point in time (e.g. poverty rate of a population or racialized households). While these static measures are crucial for identifying the immediate scope and scale of poverty, they often fail to capture the complexity of economic hardship. Using Statistics Canada’s Longitudinal Administrative Databank (LAD), this Community Data Watch aims to highlight the importance of understanding the duration of poverty as a complement to static measures. The full publication can be found HERE.