Adela Tisnés analyzes the initial data from the 2022 Census to understand population dynamics in Tandil, highlighting a significant shift in research methodology. With access to real empirical information, specialists can move beyond demographic projections, which often distort local realities, and instead focus on concrete indicators of birth rates, mortality, and housing structure. This transition toward verified data enables a more accurate understanding of social trends and more appropriate future planning. The report highlights a critically low fertility rate, well below the level required for the natural reproduction of the population. This trend, shared globally, is attributed to structural factors such as increased female labor participation, greater access to education, and the postponement of motherhood. At the same time, there is a concerning rise in recent mortality, likely linked to the pandemic, underscoring the need to monitor causes of death to assess the cumulative health and social impact on the community. In the housing sector, a decline in homeownership rates is evident, suggesting a deterioration in urban land tenure. This phenomenon, combined with population growth, points to significant challenges in accessing adequate housing. The relevance of this article for open data lies in its practical demonstration of how access to preliminary official data empowers academia and civil society to generate autonomous knowledge, critique state projections, and reveal structural inequalities that would otherwise remain hidden in aggregated analyses.
Source: eleco.com.arPublished on 2023-06-21