We examine the trajectory of regional income dynamics in Colombia. Using data on all 33 Colombian departments from 2000 to 2016, we employ extensions of (spatial) Markov chains, space-time mobility measures, along with a fully weighted version of the distribution analysis approach. By considering these extensions, our analy sis enables us to answer questions such as whether the role of spatial context infu ences the distributional dynamics of Colombian departments, or the magnitude of the moderating efect of department’s population. The inclusion of additional meas ures such as the asymptotic half-life of convergence provides additional results, informing on how long it would take to reach the hypothetical long-run distribu tion of per capita income. Results, which are reported for both pre- and post-2008 trends, complement previous literature on regional economic convergence in a rele vant South American context, showing stronger convergence patterns when control ling for the population living in each department. The patterns do not particularly intensify when controlling for spatial spillovers, since the role of spatial context was already playing a relevant role from the beginning of the period analyzed. Therefore, although the ergodic distributions show a conditional-convergence pattern, address ing the problems of spatial exclusion fully, persistent polarization among geographi cal departments and populations, along with the relevant core-periphery gaps, still requires the design and implementation of specifc policies.