This Keyword Research Feature is dedicated to the stations of the London Underground.
With over 300 stations serving millions of people in London, there’s plenty of people searching for them on teh interwebs.
We examined all the identifiable search terms on Google relating to the names of all the Tube stations on the London Underground network. We aggregated all the search terms for each station to get an overall figure of search activity for each station and then each Tube line.
The most searched for station
And the winner is Victoria! With Angel a very close second.
The most searched for Underground Line by station searches
The District lines wins this competition due to it’s large number of stations. The Northern line comes in respectable second place. Waterloo and City has the lowest overall number of searches with just 2 stations.
The most searched for Underground Line relative to size
The chart above now shows the number of searches per station and per km of track for each tube line.
Now we get a completely different story. The Waterloo and City line scores the highest as it has the greatest search volume relative to it’s number of stations, 2, the smallest number possible to qualify as a transport link.
The District line can’t really compete in this arena as it’s crippled by it’s high number of stations and long tracks.
The research project started off by getting a list of tube stations from Wikipedia. This data also had the tube lines for each station so the the number of stations and total length of track per Tube line was extracted. The data was placed into 2 charts in Excel.
A seed keyword list generated by concatenating the station names a number of tube related phrase modifiers, ‘tube’, ‘underground’ and ‘under ground’.
The seed list is used with the Google AdWords Keyword Tool to generate estimate monthly search volumes for a range of relevant keywords.
Irreleant keywords were removed. In this instance, a number of ‘briana banks tube’ terms which had been included which were probably people looking for youtube videos. Another Lady called ‘Alison Angel’ was also surprisingly popular.
The search terms were then filtered for each station. The number of searches for each station was aggregated for each tube line using a more complex set of dimensions as each station can be counted within multiple Tube lines.