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This paper explores trends in Information Communication Technologies (ICT) skills in Asia and the Pacific. Drawing on data from the Multiple Indicator Cluster Surveys (MICS) from three representative countries in the region, namely Fiji, Viet Nam, and Bangladesh, the paper uses Classification and Regression Trees (CART) to identify which groups are least likely to have basic, proficient, or advanced ICT skill levels, i.e., the furthest behind groups.

Results underscore significant within and cross-country disparities. The level of education attained by the individual is consistently the most important characteristic influencing ICT skill levels. Wealth and age of the individual are also important explanatory characteristics for identifying furthest behind groups. The paper aims to inform policy making and interventions strategies intended at raising ICT skills levels and addressing digital skill gaps in Asia and the Pacific.