DigiLAC es una plataforma virtual creada por el BID para cerrar las brechas existentes en la penetración de banda ancha y consolidar, a través de índices de desarrollo digital innovadores, mapas e informes de infraestructura, información clave sobre los desafíos, oportunidades y posibilidades de desarrollo de banda ancha en América Latina y el Caribe (LAC).

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

The Urban Dashboard allows to explore and compare more than 150 quantitative indicators, public opinion polls and interactive maps of intermediate cities in Latin America and the Caribbean. These are cities that have an outstanding economic and population growth, and receive technical assistance from the Emerging and Sustainable Cities Initiative (ESCI) of the IDB. This dataset was created to feed the urbandashboard.org platform. It contains all the survey questions that took place in 25 ESCI cities and 5 megacities.

Click here to access the data: https://mydata.iadb.org/idb/dataset/u7bw-exzv

This set comprises the data collected to inform the Discussion Paper: Advanced Experiences in Cybersecurity Policies and Practices- an Overview of Estonia, Israel, South Korea and the United States, result of the collaboration between Dr. James A. Lewis from the Center for Strategic International Studies (CSIS) and the Inter-American Development Bank (IDB). The data is based on the Cybersecurity Capability Maturity Model (CMM) jointly developed by the Organization of American States (OAS), the Inter-American Development Bank and the Global Cyber Security Capacity Center (GCSCC) at the University of Oxford and it supports the structured assessment of these four countries cybersecurity experiences and the lessons learned derived from them. This data set compliments the 2016 Cyber Security Report Data Set published in April 2016.

Click here to access the data: https://mydata.iadb.org/d/a9yc-jpsa

The database allows estimating structural fiscal balances for 20 countries in the region under different assumptions regarding the output gap and commodity structural prices. It is a unique database of its kind since: 1) It takes into consideration the distinct responsiveness of different types of revenues to changes in the output gap: In order to adjust for the impact of the business cycle on revenues, we calculate individual elasticities for each source of revenue (i.e. direct taxes, indirect taxes, revenues from non-renewable resources, etc.). Since the different types of revenues in the region have different sensitivities to changes in the output gap, this disaggregated approach allows for a more fine-tuned adjustment. 2) It includes estimations of SFBs based on output gaps’ projections available in “real time”. In addition to giving estimations of the actual SFBs, we provide with estimations of the SFBs that would have resulted should the projections on output gaps available to policymakers at the time of designing fiscal policy (data in “real time”) have been correct. This is in contrast to much of the existing work on structural fiscal balances that makes only an “ex post” analysis using actual and revised information on the output gaps. 3) It allows assessing the response of fiscal policy to the business cycle. We provide with measures of the fiscal impulse, assessing not only the actual but also the intentional fiscal stance, as well as the degree of procyclicality of fiscal policy.

Click here to access the data: https://mydata.iadb.org/idb/dataset/3itg-avtz

At the IDBG Annual Meeting in 2016, the Board of Governors resolved to endorse the goal of increasing the financing of climate change related projects in LAC to 30% of the IDB’s and IIC’s combined total approvals operations by 2020, subject to demand from borrowing countries and clients and access to external sources of concessional financing.

During 2018, the IDB Group invested approximately US$5 billion in climate finance; that is, in development activities carried out by the public and private sectors that reduce greenhouse gas (GHG) emissions and thus mitigate climate change, and/or that reduce vulnerability to climate change and contribute to an adaptation process. This amount represented 27% of the IDB Group’s total approvals.
Please note that only data from IDB and IDB Lab are available in this dataset.

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 graphic can be found in page 33, graphic A

La segunda ronda de la Encuesta BID/Cornell Coronavirus hace un seguimiento a la encuesta BID/Cornell Coronavirus de la primera ronda en donde se recolectó información relacionada a los impactos de la pandemia del Covid-19 en los mercados laborales, seguridad alimentaria, distanciamiento social, y conocimiento acerca de los síntomas y formas de contagio del Coronavirus. El objetivo principal de la segunda ronda fue hacer un seguimiento a los hogares partícipes de la primera ronda, recolectando información más detallada de ingresos y activos de los hogares, así como también datos de beneficiarios de programas sociales existentes antes de la pandemia, inclusión financiera, preferencias políticas y comportamientos relacionados con el Covid-19 en general. El procedimiento de recolección de datos de la segunda ronda, así como su divulgación, se llevaron a cabo de la misma forma que para el caso de la primera ronda. Los datos de las dos rondas de la encuesta se unieron para crear un panel de datos a nivel de hogar. Al realizar un ejercicio de correlación entre participación en la segunda ronda y características demográficas, encontramos que ser mujer aumentó la probabilidad de participar en la segunda ronda de la encuesta. Así mismo, personas con un nivel de educación más alto y con mayores ingresos fueron más propensas a participar en la segunda ronda. Acorde con estos resultados, encontramos también una correlación positiva entre tener 40 años en adelante y participar en la encuesta de seguimiento. Los datos del panel de datos son útiles para analizar efectos de la pandemia en situaciones y preferencias más detalladas de los hogares dentro de un país y entre países. Se incluyen ponderadores que corrigen diferencias en el tamaño de la muestra entre países y proveen una mayor ponderación a las observaciones de países con mayor población.

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).

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