Using Secondary Data to Measure, Monitor and Visualise Spatio-Temporal Uncertainties in Geodemographics

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Geodemographic classifications are categorical summary measures of the built, social and economic characteristics of small geographical areas. There are many geodemographic classifications supplied by both the commercial and non-commercial sectors; however, the most widely used non-commercial geodemographic is the Office for National Statistics (ONS) Output Area Classification (OAC) which was constructed entirely from the 2001 Census data. This classification has generated great impact with a user community drawn principally from across the public sector (www.areaclassification.org). The success and growing user base of 2001 OAC has led to the ONS supporting the construction of a new classification utilising the 2011 Census data once released.A common criticism levied at classifications which are built entirely from Census data is that they are insufficiently contemporary given that collated data are not available for some years after each Census, and, that over time, these data may become increasingly unrepresentative of current population and built structures within small areas. The 2001 OAC methodology contained no mechanism through which these errors could be assessed over time, or for the classification to be reviewed and possibly updated utilising more recent data. As such, within the historical context of the 2001 OAC, this project will integrate secondary data to implement a methodology of screening of small area residential structures over time, and create temporal measures of uncertainty that can be both communicated to policy-practitioner audiences, and furthermore, be utilised to provide updates to the 2001 OAC. This work will establish a methodology which can then be used prospectively in the construction of the 2011 OAC.