Spatial Projections of Age Structured Populations in India
Ingrid Setz1, Erich Striessnig2, Samir K.3
1Wittgenstein Centre (IIASA, OeAW, Univ. Vienna), 2University of Vienna, Wittgenstein Centre for Demography and Global Human Capital (IIASA, OeAW, University of Vienna), 3ADRI, Shanghai University

India, like many other countries globally, is under pressure to address climate change adaptation and mitigation in the 21st century. Given the country's vast heterogeneity in almost every ecological and social dimension, spatially explicit projections are relevant to identify those most vulnerable to climate anomalies. Age is one demographic characteristic that is found to be a key determinant of humans' health risk associated with environmental change. Yet, spatial projections of age structured populations are missing for India. Based on a regression tree method, this analysis provides district level projections of the Indian population age structure under different socioeconomic scenarios (SSPs). Understanding how the age structure can vary over time and space can help in devising future adaptation and mitigation strategies to climate risk.