The data can very quickly show you how many facilities a geographical area may have. This can allow users to see how burdened a neighborhood for example may be with specific facilities.
This figure shows a smaller window open within the California State Water Resources Control Board page on Cal Open Data Portal, providing straightforward access to an Excel document displaying a dataset within the state 2019 water quality status report that sampled 1,2,3-trichloropropane, a drinking water contaminant.
[Source: EM-DAT Public] This graphic shows the prevalence of technological disasters [includes toxic spills, industrial explosions, etc.] by country. This can be used to characterize, on a transnational level, where potential industrial harms are centralized or concentrated. While it does not characterize more insidious harms, such as air pollution, it can be a direct and easy to understand measure of environmental harm distribution across the globe.
Additionally, data is available as excel sheets, which allows users to produce their own graphics on the prevalence of disasters within a particular nation over a desired time interval.
Industrial meatpacking plants in countries all over the world (USA, Germany, Australia) have all become hotspots of COVID-19 (Link).
The close proximity in which workers working in such plants, the gruelling hours, the lack of access to healthcare among workers (many of whom are immigrants, refugees and POCs), are all reasons why such plants have emerged as hotspots. This Propublica article talks about the amont of preparation that such an industry has for pandemic flu outbreaks that could wipe out animals, but failed to do the same for their workers (Link). Moreover, our desire of meat (bad for the environment and unsustainable), has resulted in these companies having a tremendous amount of clout which allowed some to go over the heads of local officials as the ProPublica article reports.
