The physical results are interesting, and a visual examination can provide a useful overall comparison, but how does this actually impact me?
I’m glad you are still with me, it might be useful to explain how postcodes actually work in this context:
Lets take a postcode of G31 2XT how does it break down?
Sector: G31 2
Unit: G31 2XT
So then we can compare how an actual address dataset, like the Glasgow CAG, spatially joined to two postcode datasets compare:
Assuming the NRS dataset is correct (a good assumption) how accurate is a postcode based on an OS Code-Point Open generated Voronoi polygon based on Glasgow City Council residentially classified properties as of 16/11/2014:
Total number of properties:
We can see that up to a sector level a Voronoi polygon can produce an extremely accurate results. A visual comparison of how this plays out in Glasgow can be seen here, with the legend best read from the bottom: