This article explores the spatial dynamics of COVID-19—with nationwide and partial lockdowns’ in its two waves, respectively—in India by employing the location quotient and univariate Moran’s I statistics with various variables representing spatial adjacency, proximity, population, population density, urbanisation, migration, and health infrastructure variables. The results suggest that though geographical proximity to the hotspot states played an important role in triggering the outbreak during both the waves, it could not influence the spatial clustering at the sluggish phase of the pandemic.