HIV-1 transmission dynamics involving men who have sex with men (MSM) in Africa are not well understood. We investigated the rates of HIV-1 transmission between MSM across three regions in Kenya: Coast, Nairobi and Nyanza. We analysed 372 HIV-1 partial pol sequences sampled during 2006-2019 from MSM in Coast (N=178, 47.9%), Nairobi (N=137, 36.8%), and Nyanza (N=57, 15.3%) provinces in Kenya. Maximum-Likelihood (ML) phylogenetics and Bayesian inference were used to determine HIV-1 clusters, evolutionary dynamics, and virus migration rates between geographic regions.