The world is facing a learning crisis, particularly in middle and lower income countries, and though theories abound on how best to address it, one things is clear: policymakers and practitioners alike need more and better information to sufficiently address the challenges ahead.
Several important international standardized achievement tests such as PISA and TIMSS provide critical data, but these tests are limited because they often exclude developing countries and only date back to the mid-1990s.
Our new working paper, A Global Dataset on Education Quality (1965-2015), addresses that information gap. In it, we present the largest and most current globally comparable dataset on education quality, with harmonized learning scores for 163 countries and regions that covers more than 90 percent of the world’s population. This new World Bank dataset offers a longer time horizon and includes more countries, especially lower income, than any other previous attempt to capture educational information on so granular a level.
Countries/areas covered by the dataset