According to activation-based models of spoken-word recognition, words with many and highfrequency phonological neighbours are processed more slowly than words with few and low-frequency phonological neighbours. Although considerable empirical support for inhibitory neighbourhood density effects has accumulated, especially in English, little or nothing is known about the effects of neighbourhood frequency and its interaction with neighbourhood density. In this study we examine both effects first separately and then simultaneously in French lexical decision experiments. As in English, we found that words in dense neighbourhoods are recognized more slowly than words in sparse neighbourhoods. Moreover, we showed that words with higher frequency neighbours are processed more slowly than words with no higher frequency neighbours, but only for words occurring in sparse neighbourhoods. Implications of these results for spoken-word recognition models are discussed.