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  • Dataset

    Por División de Agricultura y Desarrollo Rural (VPS/PTI/ARD)
    Esta base de datos recopila estadísticas estandarizadas y actualizadas sobre productividad agrícola y uso de insumos en distintos países, abarcando datos anuales sobre producción agrícola, índices de insumos y participación de los factores. La mayoría de los índices provienen del conjunto de datos de Productividad Agrícola Internacional (IAP, por sus siglas en inglés) del USDA, proporcionado por el Servicio de Investigación Económica (ERS), mientras que otros—como los índices de Productividad Total de los Factores (PTF) de Hicks-Moorsteen, Fare-Primont y Lowe—son calculados por nosotros utilizando los mismos datos base del USDA. El conjunto de datos incluye múltiples índices de PTF, así como índices desagregados de insumos para trabajo, tierra, capital, materiales, maquinaria, ganado, fertilizantes y alimentos, muchos de los cuales están indexados a una línea base del año 2015. También contiene datos sobre el valor y la cantidad de recursos agrícolas como tierra, trabajo,...
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  • Dataset

    Por Productivity, Trade and Innovation Sector (VPS/PTI/PTI)
    The Institute for the Integration of Latin America and the Caribbean (INTAL) of the Integration and Trade Sector of the Inter-American Development Bank (IDB) conducted this survey of Latin American and Caribbean (LAC) companies that export both within the region and outside the region. The objective of the analysis is to understand how their exports are evolving, what problems they face, what measures they have taken, what public support policies they have received, and what the prospective vision of the companies is.
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  • Dataset

    Por Agriculture and Rural Development Division (VPS/PTI/ARD)
    Agrimonitor is the IDB Product Support Estimates (PSE) country-level database for Latin American and Caribbean countries. It enables policy makers and policy analysts to track agricultural policies and to assess and measure the composition of the support to agriculture. PSE indicators related to magnitudes and composition help to better describe and address the key challenges facing agriculture in the coming decade.
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  • Dataset

    Por Water and Sanitation Division (VPS/INE/WSA)
    This dataset was generated by the Knowledge team in the Inter-American Development Bank's Water and Sanitation division from publicly available information to allow for the characterization and comparison of tariff systems and subsidies. It contains data on residential drinking water supply and sanitation tariffs, and includes data on subsidies, tariff types, metering, and more. The tariff dataset has been simplified and made available to the public via the Water and Sanitation Observatory for Latin America and the Caribbean (OLAS), consistent with the OLAS goals to provide consistent, reliable, and updated data to understand the water and sanitation sector at the national and regional levels, within the framework of SDG 6. For more information about this process and general trends in the dataset please see "How Much Do Households Pay for Water Supply and Sanitation Services in Latin America? A Descriptive Analysis of Tariffs and Subsidies in the Region."
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  • Dataset

    Por Water and Sanitation Division (VPS/INE/WSA)
    LAC is the most water-rich region in the world by most metrics; however, water resource distribution throughout the region does not correspond demand. To understand water risk throughout the region, this dataset provides population and land area estimates for factors related to water risk, allowing users to explore vulnerability throughout the region to multiple dimensions of water risk. This dataset contains estimates of populations living in areas of water stress and risk in 27 countries in Latin America and the Caribbean (LAC) at the municipal level. The dataset contains categories of 18 factors related to water risk and 39 indices of water risk and population estimates within each with aggregations possible at the basin, state, country, and regional level. The population data used to generate this dataset were obtained from the WorldPop project 2020 UN-adjusted population projections, while estimates of water stress and risk come from WRI’s Aqueduct 3.0 Water Risk Framework....
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