Why is it important to have disaggregated data?
The overarching principle of the 2030 Agenda for Sustainable Development – “leave no one behind” – calls for more granular and disaggregated data, stating that “SDG Indicators should be disaggregated, where relevant, by income, sex, age, race, ethnicity, migratory status, disability and geographic location, or other characteristics". For example, to ensure that the poorest of the poor are being reached, data should be distributed by income distribution.
For example, we cannot talk about unemployment by simply looking at the national “unemployment rate”. Indicator 8.5.2 stipulates reporting on unemployment rate by sex, age and persons with disabilities.
To design relevant policies, countries might need to look into unemployment rate by age, and the data might underscore the need to target the youth labor force and those actively seeking employment.
In the Arab region, female youth unemployment rate is the highest in the world, and reporting on this indicator is key to expose discriminatory practices and structural biases in the economy.
Improving data disaggregation is fundamental for the full implementation of the SDG development framework to fulfil the ambition of the 2030 Agenda for Sustainable of leaving no one behind. Explore the data to understand which countries and which indicators provide disaggregated data and where the gaps are.
Explore the data to understand which countries and which indicators provide disaggregated data and where the gaps are.
Disaggregated data availability in the Arab Region
Available with disaggregation
Available without disaggregation
Not available
