This thesis aims to analyze the economic impact of immigration on the Swedish economy. Using a quantitative research method and multiple regression analysis data from the period 2005-2020 has been analyzed. The independent variables in the study consist of employment rate, unemployment, earned income and public integration costs. All variables were tested using the Augmented Dickey-Fuller (ADF) test and were found to be stationary after first differencing. The results show that the employment rate had a positive and statistically significant effect on GDP per capita during the analyzed period. However uneployment did not show a significant effect in the differenced model, indicating that it’s relationship with GDP weakened after the transformation. Earned income and public integration expenditure also showed no statistically significant relationship with GDP per capita in the final model. In order for immigration to contribute positively to economic growth immigrants must be given the opporunity to establish themselves in the labor market through effective integration efforts.