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Conjunto de dados

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  • Dataset

    Por Health, Nutrition and Population Division (VPS/SCL/HNP)
    This dataset contains information on Programa Nacional Cuna Más (Cuna Mas, hereinafter), Peru’s largest early childhood development program established in 2012. It focuses on one of the two services provided by Cuna Mas known as Servicio de Acompanamiento a Familias (SAF), a home visiting program that operates in rural areas and provides one-hour weekly home visits to children aged 0-36 months and their caregiver. The objective of the study was to compare different instruments to measure the quality of home visiting programs. Between August and October 2015, three instruments were administered to a sample of 554 children enrolled in Cuna Mas and receiving home visits at the time of data collection, and on their 176 home visitors who regularly work with 80 supervisors.
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  • Dataset

    Por Health, Nutrition and Population Division (VPS/SCL/HNP)
    This dataset contains information on Programa Nacional Cuna Más (Cuna Mas, hereinafter), Peru’s largest early childhood development program established in 2012. It focuses on one of the two services provided by Cuna Mas known as Servicio de Acompañamiento a Familias (SAF), a home visiting program that operates in rural areas and provides one-hour weekly home visits to children aged 0-36 months and their caregiver.
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  • Dataset

    Por Social Protection and Labor Markets Division (VPS/SCL/SPL)
    El conjunto de datos se contextualiza en el marco regulatorio vigente de la educación superior en Bolivia. Se tiene información de la evolución del número de estudiantes de universidades públicas como privadas: nuevos, matriculados y titulados por área de conocimiento y carrera profesional, en los nueve departamentos del país a lo largo del periodo 2001-2016. La fuente de información es el Ministerio de Educación y el Comité Ejecutivo de la Universidad Boliviana (CEUB).
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  • Dataset

    Por Department of Research and Chief Economist (VPS/RES/RES)
    The second round of the IDB/Cornell Coronavirus Survey is a follow-up to the first round of the IDB/Cornell Coronavirus Survey, which collected information related to the impacts of the Covid-19 pandemic on labor markets, food security, social distancing, and knowledge about the symptoms and forms of contagion of the Coronavirus. The main objective of the second round was to follow up with households participating in the first round, collecting more detailed information on household income and assets, as well as data on beneficiaries of social programs existing before the pandemic, financial inclusion, political preferences, and behaviors related to Covid-19 in general. The data collection procedure for the second round, as well as its dissemination, were carried out in the same way as for the first round. Data from the two rounds of the survey were combined to create a household-level data panel. By conducting a correlation exercise between participation in the second round and...
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  • Dataset

    Por Social Sector (VPS/SCL/SCL)
    The Population and Housing Censuses database contains the censuses harmonized in such a way as to provide comparable census information over time and across countries. The variables in these databases are constructed under a common approach and structure, with standardized names, definitions, and disaggregations, and stored in a single file for each country. Currently, the harmonization of Population and Housing Censuses includes databases for 22 countries. The indicators are categorized into seven themes: demographics, education, labor market, housing, income, migration, and diversity. When possible, we add multiple disaggregations for indicators. The available disaggregations are ethnicity, gender, age, education level, and area of geographic residence. The management and harmonization of this database are provided by the Social Sector (SCL) of the Vice Presidency of Knowledge and Sectors to strengthen the analytical content of projects and studies.
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