Full details of the methodologies used to construct the datasets depicting estimates of the proportion of the population living in poverty in each grid cell will be forthcoming in a paper, but are outlined in broad terms here. In brief, GPS located national household survey data were obtained through either the Demographic and Health Surveys (DHS) program or the Living Standards Measurement Study (LSMS) program and either $1.25 and $2 a day consumption-based poverty metrics or the Multidimensional Poverty Index (MPI) were calculated for each survey cluster. A Bayesian geostatistical modeling framework, following approaches constructed for the Malaria Atlas Project was then established to exploit spatiotemporal relationships within the data, leverage ancillary information from an extensive set of covariates, and rigorously handle uncertainties at all stages to generate robust output surfaces with accompanying confidence intervals. The figures below show example outputs for Nigeria, and further outputs can be found at www.fspmaps.com. Upcoming poverty datasets will provide Progress out of Poverty Index mapping and the integration of mobile phone call data records. Further details can be found on the case studies page.