This dataset consists of statistics that summarize the size of the education system. Main indicators: number of students, schools, and teachers.


Click here to access the data: https://mydata.iadb.org/d/8vx9-h8dg

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

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 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 Cuidado Diurno, a daycare service in marginalized urban areas that provides comprehensive care to children aged 6 to 36 months. Data were collected between November 2013 and January 2014 by the Inter-American Development Bank. The objective of the study was to estimate the association between caregiver quality and the development of very young children (6 to 24 months).

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 2017, the IDB Group invested approximately US$4.3 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 28.5% of the IDB Group’s total approvals.
Please note that only data from IDB and IDB Lab are available in this dataset.

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 2016, the IDB Group invested approximately US$2.7 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 22% of the IDB Group’s total approvals.
Please note that only data from IDB and IDB Lab are available in this dataset.

This dataset consists of indicators capturing how much students know and are able to do. It includes statistics from international learning assessments such as OECD’s PISA, UNESCO’s SERCE and TERCE, and CSEC of the Caribbean Examination Council. Main indicators: Average score, passing rate, percentage of top performers, percentage of low achievers.


Click here to access the data: https://mydata.iadb.org/d/sqwh-9zsr

This dataset consists of statistics measuring the educational attainment and average years of schooling of the adult population, how many children are actively participating in the school system, the efficiency of the school system, and youth inactivity. Main indicators: mean years of schooling, educational attainment, attendance rates, out of school children, overage rates, years in school vs schooling years, and youth inactivity.

This dataset consists of statistics measuring the financial resources available to fund the education system. Main indicators: Government expenditure on education as % of GDP, in PPP, as % of total government expenditure, expenditure on salaries as % of education expenditure, expenditure on education per student as % of pc gdp.


Click here to access the data: https://mydata.iadb.org/d/y35v-i2ux/

This dataset consists of statistics on basic infrastructure resources and other resources that support student learning within schools. Main indicators: access to water, bathrooms, electricity, phone, internet, art rooms, auditoriums, library, gymnasium, science lab, and number of books per student.

Click here to access the data: https://mydata.iadb.org/d/b2gd-27ej