The purpose of this study is to empirically investigate if the municipal decision on wind power development can be explained by a model including socioeconomic variables and proxies for the natural environment, using a pooled cross-section data set for Swedish municipalities for the period 2010-2019. The study poses the question whether politicians' decisions-making can be explained by socioeconomic factors. In order to analyse the approving or denying of wind power development in Swedish municipalities, three models are used: the linear probability model, the probit and the logit model. The results show that the Green political party (positively affecting wind power development) and that the unemployment rate, income, population density, protected areas and the affiliations with the Sweden Democrats (negatively affecting the approval rate), has a statistical significant effect on the permissionprocess. Installed capacity of wind power plants seemingly have no impact. Our findings suggest that the municipal decision making is less random than the critics of the municipal veto proposes.