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  • Dataset

    By Health, Nutrition and Population Division (VPS/SCL/HNP)
    This dataset presents data from the Mesoamerica Health Initiative in Mexico, specifically focusing on the health facility survey.
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  • Dataset

    By Health, Nutrition and Population Division (VPS/SCL/HNP)
    This dataset presents data from the Mesoamerica Health Initiative in Honduras, specifically focusing on the health facility survey.
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  • Dataset

    By Climate Change Solutions Division (VPS/CSD/CCS)
    Under the current IDBG Corporate Results Framework (CRF) 2020-2023 (https://crf.iadb.org/en), the IDB committed to reach 30% of the total amount approved (including all lending operations) of climate finance during this period. In 2022, the IDB Group - composed of the IDB, IDB Lab (formerly the Multilateral Investment Fund) and IDB Invest - approved US$7.8 billion in climate finance as per the MDB climate finance tracking methodology. This resource is aimed at development activities carried out by the public and private sectors that reduce greenhouse gas (GHG) emissions and thus mitigate climate change, and/or that reduce vulnerability to climate change and contribute to an adaptation process. The IDB only climate finance in 2022 was equivalent to US$ 5.9 billion.
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  • Dataset

    By Social Protection and Labor Markets Division (VPS/SCL/SPL)
    The 2019 PLAC Network's Pension Indicators are a dataset containing information related to the labor markets and pension systems of the fifteen PLAC Network member countries: Argentina, Bahamas, Barbados, Brazil, Chile, Colombia, Costa Rica, Dominican Republic, El Salvador, Guyana, Haiti, Honduras, Jamaica, Mexico, Panama, Paraguay, Peru, Trinidad and Tobago, and Uruguay. The indicators are divided into five main categories: environment, performance, sustainability, society's preparedness for aging and reform, and pension system design. Each one of these categories are divided into a few subcategories as well. These indicators were constructed with the objective of becoming an important tool for the improvement of the following aspects of pension systems: coverage, sufficiency of benefits, financial sustainability, equity and social solidarity, efficiency, and institutional capacity. An important characteristic of this dataset is the comparability of these indicators since it...
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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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