in the first datafied pandemic, the production of interactive covid-19 data maps was intensified by state institutions and corporate media. maps have been used by states and citizens to understand the advance and retreat of the contagion and monitor vaccine rates. however, the visualisations being used are often based on non-comparable data types across countries, leading to visual misrepresentations. many pandemic data visualisations have consequently had a negative impact on public debate, contributing to an infodemic of disinformation that has stigmatised marginalised groups and detracted from social justice objectives. counter to such hegemonic mapping, counter-data maps, produced by marginalised groups, have revealed hidden inequalities, supporting calls for intersectional health justice. this article investigates the ways in which various intersectional global communities have appropriated data, produced counter-data maps, unveiled hidden social realities, and generated more authentic social meanings through emergent counter-data mapping imaginaries. we use a comparative multi-case study, based on a multi case-study of three covid-19 data mapping projects, namely data for black lives (us), indigenous emergency (brazil), and citylab maps (global). our findings indicate that counter-data mapping imaginaries are deeply embedded in community-oriented notions of spatiality and relationality. moreover, the cartographic process tends to reflect alternative imaginaries through four key dimensions of data mapping practice—objectives, uses, production, and ownership. we argue that counter-data mapping is the new frontier of digital media activism and community communication, as it extends the projects of data justice and community media activism, generating new practices in the activist repertoire of communicative action.