Human mobility continues to increase in terms of volumes and reach, producing growing global connectivity. Quantifying and modeling human migration can contribute towards a better understanding of the nature of migration and help develop evidence-based interventions for disease control policy, economic development, and resource allocation. WorldPop has worked to pair census microdata from multiple low and middle income countries with migrant stock data and additional geospatial datasets to develop models for internal and international migration flows, including key drivers that reflect the changing social, demographic, economic, and environmental landscapes. These have been applied to map internal and international migration at sub-national level for all low and middle income countries, with the datasets available to download here, and methods described in Sorichetta et al, Garcia et al, Ceausu et al., Modelling sex-disaggregated internal migration flows in low- and middle-income countries (in preparation), and Ceausu et al., Estimating sex-disaggregated interregional migration in the Global South (in preparation).