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Although research already examined sociodemographic profiles of older internet (non-)users, it is unknown how combinations of sociodemographic factors relate to internet (non-)use. Therefore, this study aims to investigate the cumulative impact of sociodemographic characteristics on internet (non-)use among people aged 60 and older between 2004 and 2021, using representative survey data derived from the Belgian Ageing Studies (n = 61 376). Logistic regression analyses consistently associated low education, age 80 or older, low income and female gender with higher probabilities of being internet non-user between 2004 an 2021. CHAID analysis revealed that education and age are the strongest predictors of non-use. The cumulative impact of sociodemographic factors enables to reveal subgroups where prevalence rates of non-use are almost three times higher than the prevalence reported in the population of older people in general. The result that 80.1 percent of individuals aged 80 and above with limited education did not use the internet underscores the need for a comprehensive digital inclusion approach, including strategies to overcome economic barriers to internet access and tailored internet training initiatives addressing digital skills and motivation. CHAID results help policymakers and internet training providers identify subgroups with high prevalence rates of non-users and target interventions to those at a high risk of digital exclusion.