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Rotating convective turbulence is ubiquitously found across geo- physical settings, such as surface and subsurface oceans, plane- tary atmospheres, molten metal planetary cores, magma chambers, magma oceans, and basal magma oceans. Depending on the thermal and material properties of the system, buoyant convection can be driven thermally or compositionally, where a Prandtl number (Pr = ν/κi) defines the characteristic diffusion properties of the system, with κi = κT representing thermal diffusion and κi = κC representing chemical diffusion. These numbers vary widely for geophysical sys- tems; for example, the liquid iron undergoing thermal-compositional convection in Earth’s core is defined by PrT ≈ 0.1 and PrC ≈ 100, while a thermally-driven liquid silicate magma ocean is defined by PrT ≈ 100. Currently, most numerical and laboratory data for rotat- ing convective turbulent flows exists at Pr = O(1); high Pr rotating convection relevant to compositionally-driven core flow and other systems is less commonly studied. Here, we address this deficit by carrying out a broad suite of rotating convection experiments made over a range of Pr values, employing water and three different sil- icone oils as our working fluids (Pr = 6, 41, 206, and 993). Using measurements of flow velocities (Reynolds, Re) and heat transfer effi- ciency (Nusselt, Nu), a baroclinic torque balance is found to describe the turbulence regardless of Prandtl number so long as Re is suf- ficiently large (Re 10). Estimated turbulent scales are found to remain close to onset scales in all experiments, a result that may extrapolate to planetary settings. Lastly, we use our data to build Pr-dependent predictive nondimensional and dimensional scaling relations for rotating convective velocities that can be applied across a broad range of geophysical fluid dynamical settings.