Combining data from a sample survey, the 2013 Oxford Internet Survey, with the 2011 UK Census, we employ small area estimation to estimate Internet use in small geographies in Britain. This is the first attempt to estimate Internet use at any small-scale level. Doing so allows us to understand the local geographies of British Internet use, showing that the area with least use is in the North East, followed by central Wales. The highest Internet use is in London and southeastern England. The most interesting finding is that after controlling for demographic variables, geographic differences become nonsignificant. The apparent geographic differences appear to be due to differences in demographic characteristics. We conclude by considering the policy implications of this fact.
Keywords small area estimation (SAE), Internet use, geographical inequality, digital divide, Great BritainThe Internet has fundamentally reorganized economic, social, and political actions and relationships around the world. It has sparked what has been dubbed as an "information revolution" and given rise to an "information economy" and "information society." An unimaginable amount of content can now be accessed from almost anywhere on the planet: content that ultimately shapes our understandings of the world and the ways in which we interact with our surroundings. Social life is increasingly mediated, influenced, and augmented by online interactions that take place through the Internet (Graham, Zook, & Boulton, 2013).Yet despite the importance of the Internet in everyday life, we know surprisingly little about the geography of Internet use and participation at subnational scales. It is unclear whether citizens of Aberdeen, Manchester, Cardiff, or London are significantly more likely to be able to access our global network. This is important because, as we discuss below, there are widespread geographic differences in online activity. Because the differences may indicate digital inequalities on a geographic level, it is important to investigate further. As a result, this article proposes a novel method to calculate the local geographies of Internet usage. In this article, we employ Britain as a case study but, in future work, hope to be able to replicate the method in other parts of the world.