Argentina

Many Latin American countries have experienced improvements in income over recent decades, with several of them now classified as high-income or upper middle-income in terms of conventional metrics. But has this change been mirrored in improvements across the different areas of people’s lives? How’s Life in Latin America? Measuring Well-being for Policy Making addresses this question by presenting comparative evidence for Latin America and the Caribbean (LAC) with a focus on 11 LAC countries (Argentina, Brazil, Chile, Colombia, Costa Rica, the Dominican Republic, Ecuador, Mexico, Paraguay, Peru and Uruguay). Spanning material conditions, quality of life, resources for future well-being, and inequalities, the report presents available evidence on well-being both before and since the onset of the pandemic, based on the OECD Well-being Framework. It also identifies priorities for addressing well-being gaps and describes how well-being frameworks are used in policy within Latin America and elsewhere around the world, providing lessons for governments on what is needed to put people’s well-being at the centre of their action. The report is part of the EU Regional Facility for Development in Transition for Latin America and the Caribbean.

This report assesses well-being in the four largest urban agglomerations of the province of Córdoba and provides policy recommendations to strengthen regional development practices, and ultimately improve people’s well-being. Using around 30 statistical indicators, the report analyses the performance of Córdoba’s agglomerations in 12 well-being dimensions in comparison with 391 regions of 36 OECD countries and 98 regions of Brazil, Peru, Colombia and Costa Rica. The report also documents the well-being inequalities between Córdoba’s four agglomerations and suggests three priorities areas which the province should focus on to tackle well-being challenges: i) Ensure that well-being indicators guide future decision-making; ii) Continue strengthening and modernising the provincial statistical system to expand the evidence-base; and, iii) Strengthen governance arrangements for more effective, efficient and inclusive regional development policy outcomes.