As swedes are keen on outdoor recreation and like to spend on travels and gear for forest recreation we want to show if there is a willingness to pay for forest recreation close to home. Starting in hedonic regression we create a model using publicly available data to show how consumer preferences effect house prices. Results show that distance to forest have a small but significant impact on house prices. To conclude we state that a logarithmic model using open source data can be useful in city planning and that there is a positive effect of nearby forests on house prices.