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  • Dataset

    By Housing and Urban Development Division (VPS/CSD/HUD)
    This report summarizes the housing and socioeconomic data collected through the Beneficiary Survey of the Neighborhood Improvement Programs conducted in 2014. The survey covered all households in the 11 neighborhoods of the Central District of Tegucigalpa, Honduras, where the first phase of the Urban Integration and Coexistence Program (PICU) - HO-L1088 is planned for implementation. The analysis of descriptive characteristics highlights the main public service needs of these communities, as well as the overall condition of the neighborhoods. Additionally, the socioeconomic characterization of the households provides insights into the health, education, sociability, and intra-family relationships of their members. This information helps design targeted social policies addressing these specific areas in the neighborhoods.
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  • Dataset

    By Health, Nutrition and Population Division (VPS/SCL/HNP)
    With the aim of contributing to the design of evidence-based public health policies in Latin America and the Caribbean and giving special consideration to patient or health service user perspectives, between 2012 and 2014 the Inter-American Development Bank carried out the Primary Care Access, Experience and Coordination Survey in Latin America and the Caribbean, in adult populations in Colombia, Mexico, Brazil, El Salvador, Panama and Jamaica. More detail about the motivations, conceptual framework, and detailed methodology of the survey can be found the publication “Desde el paciente: Experiencias de la atención primaria de salud en América Latina y el Caribe” (in Spanish). Primary Healthcare Access, Experience, and Coordination in Latin America and the Caribbean is a dataset of 9,012 observations, that merges the three waves of data collection in the survey, conducted between 2012 and 2014 in: Colombia and Mexico; Brazil and El Salvador; and Panama and Jamaica.
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  • Dataset

    By IDB Lab (IDB Lab)
    The 2018 Global Microscope on Financial Inclusion is a benchmarking index that assesses the enabling environment for financial access in 55 countries. The research underscores the evolving landscape of financial inclusion itself. This year’s index was completely revised to take a forward-looking focus on digital financial services, and to address the critical role of financial inclusion envisioned in the Sustainable Development Goals (SDGs).
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  • Dataset

    By Health, Nutrition and Population Division (VPS/SCL/HNP)
    The cost simulation tool for long-term care systems provides a way to quickly estimate how much it would cost governments in Latin America and the Caribbean to implement this type of system. It can also be used to compare different service packages and make projections. The dataset contains data on population, levels of care dependence, and other macroeconomic variables that are processed by formulas to allow users to quickly estimate how much it would cost a government to implement a long-term care system in 2020. Users can estimate the cost of up to two long-term care service packages and project costs for 2025 and 2030.
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  • Dataset

    By Country Department Caribbean Group (VPC/CCB/CCB)
    In this study, we examine the regional income distribution in Peru from 1795 to 2017. To achieve this goal, we reconstructed long-term regional GDP and population series for Peru’s 24 departments. These series allowed us to analyze regional income inequality through dimensions such as inequality, modality, mobility, agglomeration, and convergence. The results indicate a persistent increase in regional inequality in Peru from the second half of the 19th century to the first half of the 20th century. The Gini coefficient, which measures regional inequality, shows a value of 0.2613 for 1795 and 0.3626 for 2017, with the highest value of 0.4283 recorded in 1934. The regional income distribution is bimodal, with no mobility between the extremes. For instance, the probability that a department poor in 1795 remains poor in 2017 is 94%, while the probability of a rich region remaining rich is 95%. However, significant mobility is observed among departments occupying the middle of the...
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