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Datos Observacionales

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  • Dataset

    By Climate Change Solutions Division (VPS/CSD/CCS)
    This dataset presents standardized climate finance data for IDB operations approved in 2024. It includes project-level climate finance shares tagged for mitigation, adaptation, and dual objectives, with breakdowns by instrument type and sector. The database supports transparency, comparability across years and divisions, and aligns with MDB climate finance tracking methodologies. Under the IDB Group Impact Framework 2024–2030, the IDB committed to a climate finance target of 45% of total approved volume. In 2024, the IDB met this target, approving US $5.6 billion in climate finance, representing 45% of total approvals. Climate finance refers to financial resources committed to development projects and components that enable activities mitigating or adapting to climate change in developing and emerging economies. This dataset pertains specifically to the IDB. Climate finance for the entire IDB Group—which includes the IDB, IDB Invest (formerly IIC), and IDB Lab—totaled US $8.2...
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    By Environment, Rural Development and Risk Management Division (VPS/CSD/RND)
    RiskMonitor is a dataset developed by the Inter-American Development Bank to enhance the understanding of disaster risk and advance disaster risk management for member countries in Latin America and the Caribbean. This dataset contains various risk and development indicators for multiple countries, spanning from the year 2000 onwards. It includes data on topics such as international aid, investment, and other socio-economic factors.
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    By Water and Sanitation Division (VPS/INE/WSA)
    The OLAS/SCL Household Survey Data Set contains 47 water and sanitation related indicators generated from microdata from national household surveys throughout the region. The data set contains information from 2003-2022 for 22 countries throughout Latin America and the Caribbean. Indicators are provided in terms of household percentage and total households that fall into each category, and can be broken down by various socioeconomic dimensions, including: - area (urban or rural community), - income quintile - migratory status - ethnicity, and - disability status. This dataset is the result of a collaboration between INE/WSA and SCL, and is a subset of the larger IDB SCL Indicators dataset.
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  • Dataset

    By Agriculture and Rural Development Division (VPS/PTI/ARD)
    This dataset compiles standardized and up-to-date agricultural productivity and input-use statistics across countries, covering annual data on agricultural output, input indices, and factor shares. Most of the indices originate from the USDA International Agricultural Productivity (IAP) dataset provided by the Economic Research Service (ERS), while others—such as the Hicks-Moorsteen, Fare-Primont, and Lowe TFP indices—are computed by us using underlying data from the same USDA source. The dataset includes multiple Total Factor Productivity (TFP) indices as well as disaggregated input indices for labor, land, capital, materials, machinery, livestock, fertilizers, and feed, many of which are indexed to a 2015 baseline. It also includes data on the value and quantity of agricultural resources such as land, labor, machinery, livestock, fertilizers, feed, cropland, pasture, and irrigated area, expressed in standardized units (e.g., 1,000 hectares, 1,000 metric horsepower, Mcal of...
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  • Dataset

    By Department of Research and Chief Economist (VPS/RES/RES)
    Medium Term Fiscal Frameworks (MTFs) have become one of the most popular reforms to the budgetary process in Latin America during the last decade, and introducing MTFs seemed to be the magic solution for most fiscal ailments. Nonetheless, there has been no comprehensive evaluation of their impact. This document discusses the normative merits of using MTFs, provides a characterization of the different types of MTF, and describes their development in the Latin American region based on extensive field work. As a first approximation for understanding how they are working, this document explores in detail the cases of Argentina, Colombia and Peru. While an unambiguous diagnosis is not possible, this document lays the groundwork for progress toward comprehensive impact evaluations and, eventually, to the consolidation of MTFs in the region.
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