In this paper, we examine the risk of social exclusion among the Swedish population from a longitudinal perspective. To achieve this aim we use an unbalanced panel involving four waves. The first wave was gathered in 1979, the second during the period 1986-87, the third during the period 1994-95, and the fourth during the period 2002-03, giving a total number of respondents of 7,967. In the empirical analysis, a person is considered socially excluded if he or she suffers from at least two of the following six welfare problems: long-term unemployment, economic problems, health problems, experiences of threat or violence, crowded housing, and lack of interpersonal relationships. As explanatory variables for the risk of social exclusion, the following variables are used: sex, age group, family type, nationality background, education level and socio-economic class. We have fitted several specifications of a logistic regression model with random effects for panel data to our data set. Our main findings are as follows: First, there is no evidence that immigrants have been better integrated into Swedish society over time from the perspective of social exclusion risk. Instead, there are weak signs that integration has become worse. Second, even though men are worse off than women as regards the odds for social exclusion, there are weak signs that their relative situation has improved over time. Finally, there is clear evidence that the odds for exclusion for singles with children have increased over time and that the odds for exclusion for couples with children have decreased over time.