2017 R&D Survey Launch

The UIS has launched its 2017 Research and Experimental Development (R&D) Statistics Survey to collect a wide range of data for the reference year 2016, including key indicators to monitor international and national goals related to science.

World Poverty Could Be Cut in Half if All Adults Completed Secondary Education

New data on out-of-school children and youth

A new policy paper released jointly by the UNESCO Institute for Statistics (UIS) and the Global Education Monitoring (GEM) Report shows that the global poverty rate could be more than halved if all adults completed secondary school. Yet, new UIS data show persistently high out-of-school rates in many countries, making it likely that completion levels in education will remain well below that target for generations to come.

A Roadmap with Workable Tools to Measure Learning Achievements Worldwide

Report from the third meeting of the Global Alliance to Monitor Learning (11-12 May)

By David Coleman, Senior Education Advisor, Australian Department of Foreign Affairs and Trade (and Chair of the GAML Strategic Planning Committee), and Silvia Montoya, Director of the UNESCO Institute for Statistics (UIS)

This blog was originally published by the Global Partnership for Education (GPE)

Education Data Release: New Indicators and More Data for Countries in Every Region

The UIS has issued its most important education data release of the year, with a series of newly developed indicators to inform the Sustainable Development Goals (SDGs) and a wider range of data. From early childhood educational development programmes to tertiary and adult education, the release includes updated data for 2015 and for the 2016 reference year in a small number of countries.

Helping Countries Improve their Data on Out-of-School Children

The UIS has released three information papers to help governments produce, interpret and use accurate indicators on out-of-school children. By exploring specific methodological issues, the papers highlight the need to harmonize data sources while helping national statisticians understand why indicator values can vary depending on the data source, collection method, or technique used to calculate indicators.