This repository contains data and code for 80 datasets featured in Growth: from microorganisms to megacities (2019) by Vaclav Smil. Growth contains a wealth of time-series data collected from diverse sources. Smil fits simple models, most notably the logistic function, to demonstrate how widely applicable they are: from the growth of bacteria to the growth of rail networks. This archive intends to make these datasets available for wider use in statistics teaching. Whatever your interest, there is probably a dataset in here for you! Thanks to Vaclav Smil for sharing these datasets to make this reanalysis possible.