2012 Olympics Impact Evaluation, Baseline and Trend Application

project

This application provides a baseline and trend analysis as part of the London 2012 Olympic Games Regeneration Legacy Evaluation Framework prepared by AMION Consulting for the Department for Communities and Local Government.

The application gathers, processes and presents information on a range of subjects relevant to the potential legacy of London 2012. A baseline dataset has been assembled of indicators designed to monitor progress. They have been structured to reflect the evaluation framework’s four main themes (place and environment; economy and skills; social and community; and sport and health) using logic chains, which show causal connections between inputs, activities, outputs, outcomes and impacts.

The data is analysed at several geographic levels, primarily focused on the major areas of regeneration legacy impact within East London, but using wider areas (London and England) as benchmark comparators. The aim is to provide a resource to monitor conditions and change particularly with the five host boroughs and to assess their convergence with London. Where neighbourhood data is available, we have also sought to analyse the extent of convergence within the Five Host Boroughs.

The application currently stores over 200 datasets and 3200 indicators. From this collection, 67 indicators have been chosen as part of a set of headline indicators. These have been chosen to represent the outcomes and impacts identified in the evaluation’s four thematic logic chains.

For each of the headline indicators, data has been extracted to cover the maximum range and highest frequency of time periods at the highest level of geographic precision. There are 8 million data values. These values have then been aggregated into relevant custom geographic boundaries where appropriate.

Where the source data has not already been denominated, appropriate denominators have been introduced (e.g. population, land area, business stock or number of properties). This allows comparison of areas on a like-for-like basis, despite differences in scale.

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