53 Results

América Latina y el Caribe Social Development

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  • Dataset

    By Gender and Diversity Division (VPS/SCL/GDI)
    This file contains descriptive data derived from the end line data set collected for an evaluation study of the impact of participation in a psychological intervention designed by the NGO, Centro de Prevención de la Violencia (CEPREV), on intimate partner violence among at-risk youth living in three neighborhoods in the vicinity of San Pedro Sula, Honduras. The intervention ran from January 2015 through October 2015. Study participants were 934 young women and men (589 treatment and 345 controls) between the ages of 13 and 30. Baseline data collection took place in November of 2014 while final data was collected between December 2015 and February 2016.
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  • Dataset

    By 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

    By Social Sector (VPS/SCL/SCL)
    Social Indicators of Latin America and the Caribbean is a diverse dataset of indicators designed to capture social conditions in Latin America and the Caribbean. The indicators are derived from national household survey data, Censuses, and other sources covering 21 countries from 1990 to date. While the Sociómetro includes traditional global indicators, the database also includes tailor-made indicators in five areas: Demographics, Education, Labor Market, Housing, and Income, to better capture conditions in LAC. Moreover, unlike traditional aggregate indicators, the Sociómetro indicators are disaggregated by ethnicity and race (when available) and by gender, geographic residence, education, and income quintile. The indicators are not intended to serve as official data for any particular country but instead aim to provide a comparable set of social indicators for the Latin American region.
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  • Dataset

    By 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

    By 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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