(2019-2023)
(2014-2023)
Methodology
This work is informed by a conceptual framework that recognises that equitable access to quality lifelong learning for girls, women, and marginalised groups, can support educational, social and economic empowerment.
The selection of indicators is underpinned by set criteria relevant to the education priorities of ASEAN, the ASEAN-UK SAGE Programme, and the United Nations Sustainable Development Goals (SDGs). The indicators are comparable, and data sources are credible, readily available and can be disaggregated. They also build on existing monitoring processes.
The scan of data availability involved a range of data sources:
- DHS: The Demographic and Health Surveys
- ILO: International Labour Organization data portal
- MICS: Multiple Indicator Cluster Surveys
- PISA: Programme for International Student Assessment
- SEA-PLM: Southeast Asia Primary Learning Metrics
- TIMMS: Trends in International Mathematics and Science Study
- UIS: UNESCO Institute for Statistics data portals and sdg4-data.uis.unesco.org
Where possible, indicators have been drawn from household surveys. Household surveys are the only source of data covering girls, women and marginalised groups outside of the formal education system, making them critical to understanding equity in education.
Where to next?
Narrowing the data gap can support the ASEAN region to better track and monitor progress, and address gender inequities for girls, women and marginalised groups.
Since 2024, the ASEAN-UK SAGE programme has:
- Expanded the gap map to include additional data sources and information on quality, and levels of disaggregation.
- Developed in-depth case studies for Cambodia, Lao PDR and Timor-Leste using the framework to provide insights into how outcomes for girls, women and marginalised groups evolve over the lifespan.
Partners can continue working together to:
- Support regional and national partners to explore ways to effectively monitor education, social and economic outcomes across the lifespan.
- Conduct macro-level analysis across the indicators to understand trends across sets of indicators, countries and time periods.
- Work with countries to combine data sources and/or link databases relating to participation, learning, financing and social demographics, to enhance the targeting of policies and interventions and evaluate their effectiveness.