The potential contribution of external support, which had helped many countries get back on track at the time, weakened in recent years and stagnation set in.
The new analysis offers some new nuances that inform all our work.
- First, the total out-of-school population is estimated to be 13 million or 5% lower than previous estimates based exclusively on administrative data.
- Second, a different picture emerges with respect to the numbers out of school between the three age groups: the primary out-of-school rate has been declining faster than previously thought, even if the rate of decline has slowed down.
- Third, the new information gives a fuller account of the contribution of some countries, such as Nigeria and Ethiopia as mentioned above, for which administrative data have been incomplete or lacking, to the global out-of-school population.
On the other hand, while the model improves our understanding of the past, it is not as sensitive to the recent impact of COVID-19, which disrupted not only school attendance but also education management information systems all over the world.
The model incorporates administrative data from the 2021 school year, but this is not enough to demonstrate whether COVID-19 has brought about a long-term trend shift. Preliminary evidence suggests that while primary and lower secondary education enrollment might not have been affected, there might be some impact on upper secondary enrollment.
The forthcoming UIS data release on September 13 will offer the latest insights into year-on-year changes in enrollment by country and education level.
While recognizing the limits of statistical approaches in the face of events such as the recent pandemic that introduce considerable uncertainty, it is also important to recognize the substantive contribution of this new approach.
The approach follows one already used to calculate completion rates, which also feature on the VIEW website. Similar methodologies have been used to estimate flagship health indicators for over 15 years, which also rely on administrative and survey data sources.
Other indicators such as those on school infrastructure or teacher education would also benefit from a robust methodology like this that would enable the use of administrative and household or school survey data sources.
The use of multiple data sources can offer greater confidence in regional and global trends to help better monitor SDG 4.