This thesis aimed to investigate and describe the influence that certain socioeconomical, demographical, and geographical variables had on the election results for the three parliamentary party groups in the 2018 Swedish parliamentary election on the municipal level. The study also aimed to compare the difference in effect of the variables between two different geographical study areas: Norrland and the Greater Stockholm area. The study has been conducted via a regression analysis.  The results indicated that income, education, population density and average age all have a noticeable influence on the election results for the different party blocks. Income was the factor with the overall largest influence on the election result. There was a difference in influence from different variables between the three different party blocks. The study also found that there was a difference in effect between Norrland and Greater Stockholm. Certain variables had more of an effect in Norrland, and vice-versa. Most notably, income and average age had the opposite effect in Norrland compared to Greater Stockholm. The reason for this is not clear, but differences in culture between the study areas may provide an explanation.

Street names (odonyms) play an important role not only as descriptors of geographic locations but also due to their sociological and political connotations and commemorative character. Here we analyse street names in Europe and North America extracted from OpenStreetMap, asking in particular to what extent odonyms reflect early European settlements in the New World, i.e., the immigration of German, Austrian and Scandinavian minorities. We observe that old street names of European origin can predominantly be found in rural areas. North American street names indeed recapitulate local and regional settlement histories. The aim of this study is to demonstrate that easily accessible data sets from freely available map data such as street names convey usable information concerning migration patterns and the history of settlements in the case of European immigrants in North America as well as colonial history. We provide a freely available pipeline to analyse this kind of data.