We develop a generalized bottom-up framework for producing spatially explicit estimates of slum populations in data-sparse environments. The resulting dataset provides the first comprehensive inventory at an approximate spatial resolution of 6.72 km across 129 Global South countries. It addresses the underestimation in prior studies and supports national- and regional-scale assessments of urban sustainability and vulnerable populations, with potential applications for improving human well-being.