The importance of disaggregated data to development practitioners, donors and policy makers, particularly those operating in the fields of youth-led and gender development, cannot be overstated. Without disaggregation data sets with the potential to influence policy and practice can mask trends and mislead opinion by flattening out inequalities that exist between gender groups and socio-economic groupings etc.
Accordingly, as our recent profile of The Girl Effect highlighted, there is a growing clamour amongst development agencies that all groups ‘should be a statistic’. This is particularly prevalent within the Youth-led field as, to quote the UNFPA, ‘a 2007 expert consultation noted the need for disaggregated data to measure progress in addressing the needs of youth’.
Joining this clamour, and created by UNESCO to sit alongside their Education For All (EFA) Global Monitoring Report, the World Inequality Database on Education (WIDE) highlights the powerful influence of circumstances, such as wealth, gender, ethnicity and location on an individual’s education context.
These factors, over which people have little control, play an important role in shaping their opportunities for education and, consequently, their wider life chances.
The World Inequality Database on Education allows users to…
– Compare Countries
– Compare Groups within Countries
– Compare Overlapping Disparities
…the resource sheds light on unacceptable levels of education inequality across these scales, with the aim of helping to inform policy design and public debate.
Access the full resource here: http://www.education-inequalities.org/
Youthpolicy.org/development has joined the data disaggregation debate. We will be posting more resources on this topic as they emerge.