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Dataset Financial Sector

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  • Dataset

    By Climate Change Solutions Division (VPS/CSD/CCS)
    Under the IDB Group Corporate Results Framework 2020-2023 (https://crf.iadb.org/en), the IDB committed to a climate finance target of 30% of total approved volume. “Climate finance” refers to the financial resources MDBs commit to development projects and the components that enable activities that mitigate and adapt to climate change in developing and emerging economies.
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  • Dataset

    By Connectivity, Markets and Finance Division (VPS/IFD/CMF)
    The LAC Debt Group believes that to have sound regional policy it is important to have valid, comparable, and standardized data on Latin America and the Caribbean (LAC). Therefore, at the core of the initiative is the development of a standardized sovereign debt database to help debt managers, policy makers, and other actors of financial markets, analyze the composition of public debt in LAC. The information presented in this 2021 database is provided by the Debt Management Offices of 26 LAC countries in response to a questionnaire specifically created to allow comparability of data. The questionnaire is intended to compile up-to-date standardized statistics to conduct cross-country comparisons over clear, objective, and homogeneous definitions of public debt.
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  • Dataset

    By Connectivity, Markets and Finance Division (VPS/IFD/CMF)
    The LAC Debt Group believes that to have sound regional policy it is important to have valid, comparable, and standardized data on Latin America and the Caribbean (LAC). Therefore, at the core of the initiative is the development of a standardized sovereign debt database to help debt managers, policy makers, and other actors of financial markets, analyze the composition of public debt in LAC. The information presented in this database is provided by the Debt Management Offices of 26 LAC countries in response to a questionnaire specifically created to allow comparability of data. The questionnaire is intended to compile up-to-date standardized statistics to conduct cross-country comparisons over clear, objective, and homogeneous definitions of public debt.
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  • Dataset

    By Social Protection and Labor Markets Division (VPS/SCL/SPL)
    The PLAC Network's Pension Indicators are a dataset containing information related to the labor markets and pension systems of the nineteen 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 permits...
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  • Dataset

    By Connectivity, Markets and Finance Division (VPS/IFD/CMF)
    The LAC Debt Group believes that to have sound regional policy it is important to have valid, comparable, and standardized data on Latin America and the Caribbean (LAC). Therefore, at the core of the initiative is the development of a standardized sovereign debt database to help debt managers, policy makers, and other actors of financial markets, analyze the composition of public debt in LAC. The information presented in this database is provided by the Debt Management Offices of 26 LAC countries in response to a questionnaire specifically created to allow comparability of data. The questionnaire is intended to compile up-to-date standardized statistics to conduct cross-country comparisons over clear, objective, and homogeneous definitions of public debt.
    Show more