Day #2: Content analysis with the locals

With the help of two Berliners we aimed to understand what would be interesting in our housing data. We learned that prizes have been rising a lot and in some areas long-term residents have to move out, because they don’t have money to pay the rent anymore. According to Berliners participating the workshop, one of the hottest districts at the moment is Neukölln. Protests have been organized against this development. Citizens are also becoming more critical against tourists, claiming that the city is turning into a zoo. It has not been very common practice to buy houses, but now when foreigners have started to buy some locals have followed the example.

We also learned that local magazines have been writing a lot about this issue and visualizations about the rents have been published. So, the question is: why to do this work in the first place, if they already did it? By combining data from multiple sources you can get more meanings out of it. We wanted to take hands on approach, so we will probably not get THAT far, but the goal is to show people that it can be done.

We found data about average rents for each city districts and the interesting thing would be to compare the average prize of the district to actual data. It could be compared in district level, or street level. Now we cannot include the time dimension, but it would add value to examine the explosion of rent prices in some areas over time. It would be interesting to compare how prices correlate with other statistics such as crime, new cafes, amount of available flats, social welfare, unemployment etc

 

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