Abstract India has become increasingly integrated into global production networks over the past decade, accompanied by rapid transformation of its domestic economic system. The multi-regional input–output (MRIO) model is a widely used tool for describing intersectoral supply chains within complex economic systems. However, a comprehensive MRIO model for one of the world’s largest emerging economies has been lacking. Here, we develop a time-series MRIO dataset for 32 Indian states covering 2011–2019, comprising 66 sectors and five final demand categories. Using a hybrid approach that integrates multiple data sources with entropy-based estimation, we construct consistent MRIO tables aligned with India’s official national supply–use tables. The dataset reveals the evolution of domestic supply chains during India’s critical growth period between the global financial crisis and the COVID-19 pandemic. It provides a foundational resource for studies on industrialisation, regional inequality, environmental impacts, and spillover effects across regions.
Zheng et al. (2026) studied this question.