En 2012 el BID aprobó un proyecto para apoyar la preparación de un sistema integral de transporte colectivo para la zona metropolitana de La Paz y El Alto. El proyecto comprendió estudios técnicos, legales, económicos, sociales y ambientales. Un componente fue una encuesta de movilidad urbana que constituye la fuente principal de datos para el presente análisis. Dentro de este marco reunimos información sobre los patrones de viaje y características socioeconómicas de los residentes, en junio y julio de 2015. Para obtener datos comparables y determinar los viajes más comunes, tales como de la casa al lugar de trabajo o la escuela y de regreso, recogimos datos de las 6 p.m. a las 9 p.m. en días laborables y fines de semana. La muestra fue recogida a nivel sub-distrital (manzanos) para cubrir los distritos de La Paz y El Alto, siguiendo un proceso de selección aleatorio (ver Anexo 2 para más detalles). Un total de 6,720 habitantes de La Paz (4,208) y El Alto (2,512) fueron entrevistados de entre un total de 6,208 hogares (3,892 y 2,316 en La Paz y El Alto respectivamente). Se encuestó a los participantes sobre los dos últimos viajes que habían hecho antes de la fecha de la entrevista

Baseline Salud Mesoamerica Belize - LQAS Survey

This dataset contains longitudinal data collected on child development outcomes, child characteristics, and parental and home characteristics on 937 children living in a representative sample of low- and low-middle-income households in Bogota, Colombia. The first round of data was collected in 2011 when 1,311 children ages 6-42 months were given the Bayley Scales of Infant and Toddler Development (Bayley-III) by psychologists and were randomized to receive one of two batteries of short tests under survey conditions. In 2016, at 6-8 years, 940 of these children were found and given tests of IQ (Wechsler Intelligence Scale for Children, WISC-V) and school achievement (arithmetic, reading, and vocabulary) by psychologists. These 937 children, excluding outliers, constitute the analysis sample of the paper Predictive validity in middle childhood of short tests of early childhood development used in large scale studies compared to the Bayley-III, the Family Care Indicators, height-for-age, and stunting: A longitudinal study in Bogota, Colombia by Marta Rubio-Codina and Sally Grantham-McGregor, forthcoming at PLOS ONE. The dataset was anonymized to protect subject privacy. Variable names and their labels are noted in the data description 2011-2016.xlsx at: https://idbg.sharepoint.com/teams/EZ-CO-TCP/CO-T1419/_layouts/15/DocIdRedir.aspx?ID=EZSHARE-1012859252-8

The Brazilian Schools Panel database and Brazilian Municipal Education Panel Database combine and simplify 20 years' worth of data from the Brazilian School Census, educational testing, and educational indicators. This report provides an introduction to the data and serves as a road map to their strengths and limitations.

The main goal of the IDBA is to size the Digital Divide in Latin America and the Caribbean by measuring the state of broadband development in the 26 Bank-member countries, as well as in additional reference countries (64 nations in total). The IDBA is a powerful tool to identify the magnitude of the gap in two different geographic approached, first when we compare the state of the art of one country versus the cluster region the country belongs to, and second, when we compare the country with respect to the OECD. The IDBA relies on a comprehensive approach based on four pillars: infrastructure, applications and capacity, strategic regulations, and public policy and strategic vision. Those four pillars are built as a result of the combination of 37 indicators from renowned international institutions. As a result, the IDBA provides a tool for decision makers and policymakers to detect, on a country basis, strengths and areas for improvement in developing specific, concrete and actionable plans.

This benchmarking index is a learning tool that evaluates the legal, regulatory and operating environments for Public Private Partnerships (PPPs) in transport, water/sanitation and electricity infrastructure for 19 Latin American and Caribbean countries. The analysis and scores in the model provide a comparable assessment of individual countries' readiness and facility for PPP project design and implementation. For the purpose of this index, PPP refers specifically to projects which involve a long-term contract between a public-sector body and a private-sector entity for the design, construction (or upgrading), operation and maintenance of public infrastructure; with finance usually provided by, and significant construction, operation and maintenance risks transferred to, the private-sector, which also bears either availability or demand risk; but with the public sector remaining responsible for policy oversight and regulation; and the infrastructure generally reverting to public-sector control at the end of the contract term.

Click here to access the data: https://mydata.iadb.org/idb/dataset/mdyb-dyzi

This dataset contains information on 404 Centros infantiles del Buen Vivir (CIBVs), Ecuador's primary providers of public child care services for infant and toddlers at the time of data collection in 2012. In 2012, The Inter-American Development Bank administered a battery of widely-used instruments to measure the quality of child care services in the CIBVs, including four internationally-recognized quality instruments that were then adapted for use in Ecuador.

Results of the Civil Service Development Index (CSDI), obtained from diagnostics of the institutional quality of civil service systems in 16 Latin American countries. The IDB supported the design of a methodology that evaluates critical points to assess the civil services and carried out country evaluations in 2004. Between 2011 and 2013, a second group of diagnostics second group of diagnostics were completed (with the support of the Inter-American Development Bank, and in the case of Central American countries and Dominican Republic with the support of the Spanish Agency for International Cooperation and Development –AECID- and the Central American Integration System-SICA). Scores are available for 2004, 2011, 2012, 2013, 2015, 2017 and 2019 (year of second and/or third measurement varies per country). In 2015, 2017 and 2019, the IDB completed the third series of diagnosis. During the first assessment, 93 critical points were identified; each of those fed a subsystem and an index. In 2010 the methodology was simplified to 33 critical points and the base line was recalibrated to ensure comparability. The methodology is based in the identification of critical points that feed 8 subsystems: 1. Human Resources Planning, 2. Work Organization, 3. Employment management, 4. Performance management, 5. Compensation management, 6. Development management, 7. Human and social relations management, 8. HR Function organization; and 5 indexes: 1. Efficiency, 2. Merit, 3. Structural consistency, 4. Functional capacity, and 5. Integrating capacity.

Click here to access the data: https://mydata.iadb.org/idb/dataset/ddw5-db4y

This dataset was created to support 2011 DIA "Development Connections: Unveiling the Impact of New Information Technologies" on the following topics: ICT for development, ICT for productive development

This set comprises the data collected to inform the 2016 Cybersecurity Report entitled Cybersecurity Are we ready in Latin America and the Caribbean?, result of the collaboration between the Inter-American Development Bank (IDB), the Organization of American States (OAS), and the Global Cyber Security Capacity Centre (GCSCC) at the University of Oxford. It was collected through an online survey based on the Cybersecurity Capability Maturity Model (CMM) developed by the GCSCC and translated into two languages (English and Spanish). After a piloting stage, the survey was administered to a wide cross-section of national stakeholders in 32 countries in Latin America and the Caribbean. The responses received were aggregated, reviewed, cleaned and complimented with additional sources of information.

Click here to access the data: https://mydata.iadb.org/d/cd6z-sjjc