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The International Corpus of English has been widely used for the description of regional linguistic variation for the past two decades. The balanced corpus design of the ICE, which includes a large number of spoken texts and a large variety of different text-types and genres, however, also seems to be an ideal basis for the description of text-type differences in World English. In contrast to the tradition of solely focusing on variety-specific trends, this paper proposes using ICE as a basis to map out similarities and differences between regional varieties and different text-types. Data-driven in nature, it provides an exploration of nine different CLAWS7-tagged ICE subcorpora. After creating currency annotated part-of-speech tag profiles of the different subcorpora and the text-types and genres included therein, these profiles are used to identify homogeneous text-type groups. A comparison of the different groups makes it possible to isolate typical features of specific text-types but also points to some problematic issues concerning the design of the ICE.