One of the best things about having address-geocoded an entire popualtion dataset it that you can finally get away from non-uniform areal representation (OAs, Postcodes) and present something that is uniformly disaggregate. Academics such as David Martin have long expounded the value of gridded representation of population data as it is regular and hence spatial unbiased. In fact the current work his group are doing is really interesting stuff, looking at daytime (as opposed to residential) population.
Anyhow, using the address-geocoded patient register for Southwark I was able to create a population density visualisation on a 100m x 100m grid that still preserves patient anonymity to an appropriate level. Of course there are some issues with Patient Registers, notably that they are only complete for people that register with a GP. Nonetheless, they provides a uniquely fine grain view of population in Southwark without resorting to the statistical uncertaintyof a smoothing surface-based density estimation, or an irregular, space-filling administrative/postal areal unit solution.
