In the first pandemic of the datafied society, interactive COVID-19 data maps have entered citizen media diets, as governments and media communicate COVID-19 case counts through cartographic data visualizations. These are used by state and citizens alike to understand how contagion advances and retreats, assess mobility patterns, and monitor vaccination numbers. However, they are often based on non-comparable data types across countries, including varied reporting criteria and timeframes, leading to visual misrepresentations. Moreover, many pandemic data visualizations have had a negative impact on public debate and action, contributing to the infodemic of disinformation, stigmatizing marginalized groups, and detracting from social justice objectives. Counter to hegemonic maps, spatial representations developed through grassroots data appropriation have been redrawn by marginalized groups to reveal hidden inequalities and support calls for intersectional health justice. This paper investigates the counter-mapping imaginaries of community activists who use data to unveil realities and shape social meanings, focusing on three counter-mapping case studies–City Lab, Data4BlackLives, and Indigenous Emergency. We find that counter-mapping data imaginaries are deeply embedded in notions of spatiality and relationality across four dimensions of analysis: objectives, uses, production, and ownership. These findings help us to better understand how counter-data maps construct new social realities, through not just the maps themselves but also the processes of creating them, with the potential to support self-determined communities through cartographies of resistance.