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  • Dataset

    Por IDB Lab (IDB Lab)
    FINLAC is a database of regulated financial institutions with information on financial performance and financial inclusion by financial institution. It covers 7 time periods, more than 50 variables and covers more than 2,000 financial institutions. It uses public information or information provided to the IDB for these purposes by financial authorities, and in some exceptional cases, by the institution itself.
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  • Dataset

    Por 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

    Por 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

    Por 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

    Por 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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