10km resolution map is shown in Figure 3 (left), smoothed ata 0.5 degree radius for easy identiﬁcation of dominant spa-tial patterns. Notably, poverty reduction in northern Ugandais lagging (Ministry of Finance 2014). Figure 3 (middle)shows poverty estimates aggregated at the district level. As avalidity check, we qualitatively compare this map against themost recent map of poverty rates available (Figure 3, right),which is based on 2005 survey data (World Resources In-stitute 2009). This data is now a decade old, but it looselycorroborates the major patterns in our predicted distribution.Whereas current maps are coarse and outdated, our methodoffers much ﬁner temporal and spatial resolution and an in-expensive way to evaluate poverty at a global scale.