In this thesis, we analyse Sweden’s housing market for the period 1990 to 2021. We specially focus on the behaviour of the Swedish housing market before, during and after the COVID-19 pandemic and the financial crisis of 2008. We used quarterly data collected mostly from Statistics Sweden (SCB) to get a deeper insight into what happened. We used a cointegration analysis to determine the long-run determinants of the Swedish housing prices. As for the variables, we had real house price index as the dependent variable, which includes permanent residentials and condominiums. We used multiple independent variables, such as population growth, real disposable income, unemployment, real mortgage rate, and real GDP. These variables and the regression analysis have been the focus to be able to answer our research questions. The result showed that there is no cointegration, and to make the variables stationary we took the first differences and looked at the short-run relationship. It showed that the real GDP and unemployment are both significant and do affect the real logged house price in the short run. Given this, we could start with the dummy variables for the time periods we investigated. The conclusion we made from the results was that both crises had a positive influence on the real house price index of Sweden. Hence, during the pandemic there was a higher increase than it was in 2008.