Abstract
The 2030 Agenda for Sustainable Development's call to leave no one behind has brought a renewed focus on vulnerable populations historically overlooked by researchers and policy makers. Key to this inclusive mission is generating “data which is high quality, accessible, timely, reliable and disaggregated by income, sex, age, race, ethnicity, migration status, disability and geographic location”. 1 UN Statistics DivisionGuidelines for the global data structure definition for Sustainable Development Goals indicators. UN Statistics Division, New York2021 Google Scholar Halfway to the endpoint of the Agenda 2030, tracking of the Sustainable Development Goals (SDG) has revealed substantial gaps in data on adolescence, despite increasing recognition that the ages of 10–19 years are a crucial life stage for accelerating progress against poverty, inequity, and discrimination. 2 Baird S Camfield L Ghimire A et al. Intersectionality as a framework for understanding adolescent vulnerabilities in low and middle income countries: expanding our commitment to leave no one behind. Eur J Dev Res. 2021; 33: 1143-1162 Crossref Scopus (4) Google Scholar , 3 Patton GC Sawyer SM Santelli JS et al. Our future: a Lancet commission on adolescent health and wellbeing. Lancet. 2016; 387: 2423-2478 Summary Full Text Full Text PDF PubMed Scopus (1465) Google Scholar We outline challenges in generating robust adolescent-specific SDG data and identify approaches that can deliver the age-disaggregated and sex-disaggregated data that are crucial to tailoring policies and interventions to improve adolescent wellbeing across domains.
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